python3_module_template/subproject/myexample.py # -*- coding: utf-8 -*- \"\"\" @file @brief This","How to add a question ? Just look a this","for this class. **example with a sphinx directives** It works","Add a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** ..",":ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to add a bloc","faqref:: :title: How to add a question ? Just look","bloc. Look also :ref:`l-FAQ2`. An accent, é, to check it","a question ? Just look a this section. Look also","source). @code m = myclass(0) @endcode @endexample **FAQ** .. faqref::","a sphinx directives** It works everywhere in the documentation. ..","documentation for the constructor @param pa first parameter \"\"\" self.pa","# -*- coding: utf-8 -*- \"\"\" @file @brief This the",":title: an example of use Just for documentation purpose. ::","Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid:","\"\"\" def __init__(self, pa): \"\"\" documentation for the constructor @param","value @param mul a float @return a float \"\"\" return",".. faqref:: :title: How to add a question ? Just","(myexampleb). \"\"\" class myclass: \"\"\" This is the documentation for","a this section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add","github source: :githublink:`source|py`. \"\"\" def __init__(self, pa): \"\"\" documentation for","in a RST file. The source documentation is parsed and","in a page ``all_examples.rst`` (look at the source). @code m","The old way: @example(an old example of use) This only","pa first parameter \"\"\" self.pa = pa def get_value(self, mul):","Just for documentation purpose. :: m = myclass(0) The old","parsed and every such example is collected and placed in","a RST file. The source documentation is parsed and every","is collected and placed in a page ``all_examples.rst`` (look at","Just look a this bloc. Look also :ref:`l-FAQ2`. An accent,","def get_value(self, mul): \"\"\" returns the parameter multiplied by a","is parsed and every such example is collected and placed","utf-8 -*- \"\"\" @file @brief This the documentation of this","exref:: :title: an example of use Just for documentation purpose.","How to add a bloc :tag: aaaa Just look a","for the constructor @param pa first parameter \"\"\" self.pa =","@file @brief This the documentation of this module (myexampleb). \"\"\"","placed in a page ``all_examples.rst`` (look at the source). @code","works from the code, not inserted in a RST file.","documentation is parsed and every such example is collected and","only works from the code, not inserted in a RST","the documentation. .. exref:: :title: an example of use Just","way: @example(an old example of use) This only works from","this module (myexampleb). \"\"\" class myclass: \"\"\" This is the","returns the parameter multiplied by a value @param mul a","mul): \"\"\" returns the parameter multiplied by a value @param","@param pa first parameter \"\"\" self.pa = pa def get_value(self,","question ? Just look a this section. Look also :ref:`l-FAQ2`.","source documentation is parsed and every such example is collected","is the documentation for this class. **example with a sphinx","It works everywhere in the documentation. .. exref:: :title: an","an example of use Just for documentation purpose. :: m","This only works from the code, not inserted in a","label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title:","it is working. A link to github source: :githublink:`source|py`. \"\"\"","**example with a sphinx directives** It works everywhere in the","and placed in a page ``all_examples.rst`` (look at the source).","**FAQ** .. faqref:: :title: How to add a question ?","m = myclass(0) @endcode @endexample **FAQ** .. faqref:: :title: How","the source). @code m = myclass(0) @endcode @endexample **FAQ** ..","of use Just for documentation purpose. :: m = myclass(0)","Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to add"],"string":"[\n \"\\\"\\\"\\\" returns the parameter multiplied by a value @param mul\",\n \"= myclass(0) @endcode @endexample **FAQ** .. faqref:: :title: How to\",\n \".. exref:: :title: an example of use Just for documentation\",\n \"first parameter \\\"\\\"\\\" self.pa = pa def get_value(self, mul): \\\"\\\"\\\"\",\n \"to add a question ? Just look a this section.\",\n \"@code m = myclass(0) @endcode @endexample **FAQ** .. faqref:: :title:\",\n \"accent, é, to check it is working. A link to\",\n \"a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** .. blocref::\",\n \"a this bloc. Look also :ref:`l-FAQ2`. An accent, é, to\",\n \"self.pa = pa def get_value(self, mul): \\\"\\\"\\\" returns the parameter\",\n \"with a sphinx directives** It works everywhere in the documentation.\",\n \"add a question ? Just look a this section. Look\",\n \"to github source: :githublink:`source|py`. \\\"\\\"\\\" def __init__(self, pa): \\\"\\\"\\\" documentation\",\n \"from the code, not inserted in a RST file. The\",\n \"source: :githublink:`source|py`. \\\"\\\"\\\" def __init__(self, pa): \\\"\\\"\\\" documentation for the\",\n \"to check it is working. A link to github source:\",\n \"everywhere in the documentation. .. exref:: :title: an example of\",\n \"myclass(0) @endcode @endexample **FAQ** .. faqref:: :title: How to add\",\n \"class. **example with a sphinx directives** It works everywhere in\",\n \"mul a float @return a float \\\"\\\"\\\" return self.pa *\",\n \":ref:`l-FAQ2`. An accent, é, to check it is working. A\",\n \"directives** It works everywhere in the documentation. .. exref:: :title:\",\n \"\\\"\\\"\\\" This is the documentation for this class. **example with\",\n \"pa def get_value(self, mul): \\\"\\\"\\\" returns the parameter multiplied by\",\n \"faqref:: :title: Add a label :lid: label1 Look also :ref:`l-FAQ2`.\",\n \"? Just look a this section. Look also :ref:`l-FAQ2`. ..\",\n \"documentation purpose. :: m = myclass(0) The old way: @example(an\",\n \"A link to github source: :githublink:`source|py`. \\\"\\\"\\\" def __init__(self, pa):\",\n \"aaaa Just look a this bloc. Look also :ref:`l-FAQ2`. An\",\n \":githublink:`source|py`. \\\"\\\"\\\" def __init__(self, pa): \\\"\\\"\\\" documentation for the constructor\",\n \"\\\"\\\"\\\" documentation for the constructor @param pa first parameter \\\"\\\"\\\"\",\n \"get_value(self, mul): \\\"\\\"\\\" returns the parameter multiplied by a value\",\n \"by a value @param mul a float @return a float\",\n \"__init__(self, pa): \\\"\\\"\\\" documentation for the constructor @param pa first\",\n \"collected and placed in a page ``all_examples.rst`` (look at the\",\n \"-*- \\\"\\\"\\\" @file @brief This the documentation of this module\",\n \"myclass(0) The old way: @example(an old example of use) This\",\n \"working. A link to github source: :githublink:`source|py`. \\\"\\\"\\\" def __init__(self,\",\n \"bloc :tag: aaaa Just look a this bloc. Look also\",\n \"not inserted in a RST file. The source documentation is\",\n \"section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a label\",\n \"of this module (myexampleb). \\\"\\\"\\\" class myclass: \\\"\\\"\\\" This is\",\n \"example of use Just for documentation purpose. :: m =\",\n \"also :ref:`l-FAQ2`. An accent, é, to check it is working.\",\n \"RST file. The source documentation is parsed and every such\",\n \"documentation. .. exref:: :title: an example of use Just for\",\n \"add a bloc :tag: aaaa Just look a this bloc.\",\n \"é, to check it is working. A link to github\",\n \"An accent, é, to check it is working. A link\",\n \"such example is collected and placed in a page ``all_examples.rst``\",\n \"coding: utf-8 -*- \\\"\\\"\\\" @file @brief This the documentation of\",\n \"a value @param mul a float @return a float \\\"\\\"\\\"\",\n \"also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to add a\",\n \"the documentation for this class. **example with a sphinx directives**\",\n \"blocref:: :title: How to add a bloc :tag: aaaa Just\",\n \"``all_examples.rst`` (look at the source). @code m = myclass(0) @endcode\",\n \"this section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a\",\n \"at the source). @code m = myclass(0) @endcode @endexample **FAQ**\",\n \"example is collected and placed in a page ``all_examples.rst`` (look\",\n \"m = myclass(0) The old way: @example(an old example of\",\n \":title: Add a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC**\",\n \"The source documentation is parsed and every such example is\",\n \"pa): \\\"\\\"\\\" documentation for the constructor @param pa first parameter\",\n \"\\\"\\\"\\\" self.pa = pa def get_value(self, mul): \\\"\\\"\\\" returns the\",\n \"**BLOC** .. blocref:: :title: How to add a bloc :tag:\",\n \"a bloc :tag: aaaa Just look a this bloc. Look\",\n \"parameter multiplied by a value @param mul a float @return\",\n \"this class. **example with a sphinx directives** It works everywhere\",\n \"myclass: \\\"\\\"\\\" This is the documentation for this class. **example\",\n \"in the documentation. .. exref:: :title: an example of use\",\n \"use) This only works from the code, not inserted in\",\n \"to add a bloc :tag: aaaa Just look a this\",\n \"label1 Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to\",\n \"look a this section. Look also :ref:`l-FAQ2`. .. faqref:: :title:\",\n \"look a this bloc. Look also :ref:`l-FAQ2`. An accent, é,\",\n \"the parameter multiplied by a value @param mul a float\",\n \"and every such example is collected and placed in a\",\n \"@brief This the documentation of this module (myexampleb). \\\"\\\"\\\" class\",\n \"(look at the source). @code m = myclass(0) @endcode @endexample\",\n \"Look also :ref:`l-FAQ2`. An accent, é, to check it is\",\n \"multiplied by a value @param mul a float @return a\",\n \"@endcode @endexample **FAQ** .. faqref:: :title: How to add a\",\n \"is working. A link to github source: :githublink:`source|py`. \\\"\\\"\\\" def\",\n \":: m = myclass(0) The old way: @example(an old example\",\n \"a page ``all_examples.rst`` (look at the source). @code m =\",\n \"@param mul a float @return a float \\\"\\\"\\\" return self.pa\",\n \"link to github source: :githublink:`source|py`. \\\"\\\"\\\" def __init__(self, pa): \\\"\\\"\\\"\",\n \"example of use) This only works from the code, not\",\n \"a float @return a float \\\"\\\"\\\" return self.pa * mul\",\n \"check it is working. A link to github source: :githublink:`source|py`.\",\n \"inserted in a RST file. The source documentation is parsed\",\n \"Just look a this section. Look also :ref:`l-FAQ2`. .. faqref::\",\n \"this bloc. Look also :ref:`l-FAQ2`. An accent, é, to check\",\n \"\\\"\\\"\\\" @file @brief This the documentation of this module (myexampleb).\",\n \"every such example is collected and placed in a page\",\n \"module (myexampleb). \\\"\\\"\\\" class myclass: \\\"\\\"\\\" This is the documentation\",\n \"@endexample **FAQ** .. faqref:: :title: How to add a question\",\n \"page ``all_examples.rst`` (look at the source). @code m = myclass(0)\",\n \"also :ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid: label1\",\n \"the code, not inserted in a RST file. The source\",\n \"old example of use) This only works from the code,\",\n \"the constructor @param pa first parameter \\\"\\\"\\\" self.pa = pa\",\n \":tag: aaaa Just look a this bloc. Look also :ref:`l-FAQ2`.\",\n \"documentation of this module (myexampleb). \\\"\\\"\\\" class myclass: \\\"\\\"\\\" This\",\n \"purpose. :: m = myclass(0) The old way: @example(an old\",\n \".. faqref:: :title: Add a label :lid: label1 Look also\",\n \"documentation for this class. **example with a sphinx directives** It\",\n \"old way: @example(an old example of use) This only works\",\n \"for documentation purpose. :: m = myclass(0) The old way:\",\n \"sphinx directives** It works everywhere in the documentation. .. exref::\",\n \"= myclass(0) The old way: @example(an old example of use)\",\n \"= pa def get_value(self, mul): \\\"\\\"\\\" returns the parameter multiplied\",\n \".. blocref:: :title: How to add a bloc :tag: aaaa\",\n \"use Just for documentation purpose. :: m = myclass(0) The\",\n \":ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid: label1 Look\",\n \"def __init__(self, pa): \\\"\\\"\\\" documentation for the constructor @param pa\",\n \"\\\"\\\"\\\" class myclass: \\\"\\\"\\\" This is the documentation for this\",\n \"file. The source documentation is parsed and every such example\",\n \"class myclass: \\\"\\\"\\\" This is the documentation for this class.\",\n \"works everywhere in the documentation. .. exref:: :title: an example\",\n \":lid: label1 Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How\",\n \"@example(an old example of use) This only works from the\",\n \"of use) This only works from the code, not inserted\",\n \"constructor @param pa first parameter \\\"\\\"\\\" self.pa = pa def\",\n \"parameter \\\"\\\"\\\" self.pa = pa def get_value(self, mul): \\\"\\\"\\\" returns\",\n \"This is the documentation for this class. **example with a\",\n \"the documentation of this module (myexampleb). \\\"\\\"\\\" class myclass: \\\"\\\"\\\"\",\n \":title: How to add a bloc :tag: aaaa Just look\",\n \"code, not inserted in a RST file. The source documentation\",\n \":title: How to add a question ? Just look a\",\n \"-*- coding: utf-8 -*- \\\"\\\"\\\" @file @brief This the documentation\",\n \"This the documentation of this module (myexampleb). \\\"\\\"\\\" class myclass:\",\n \"<filename>python3_module_template/subproject/myexample.py # -*- coding: utf-8 -*- \\\"\\\"\\\" @file @brief This\",\n \"How to add a question ? Just look a this\",\n \"for this class. **example with a sphinx directives** It works\",\n \"Add a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** ..\",\n \":ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to add a bloc\",\n \"faqref:: :title: How to add a question ? Just look\",\n \"bloc. Look also :ref:`l-FAQ2`. An accent, é, to check it\",\n \"a question ? Just look a this section. Look also\",\n \"source). @code m = myclass(0) @endcode @endexample **FAQ** .. faqref::\",\n \"a sphinx directives** It works everywhere in the documentation. ..\",\n \"documentation for the constructor @param pa first parameter \\\"\\\"\\\" self.pa\",\n \"# -*- coding: utf-8 -*- \\\"\\\"\\\" @file @brief This the\",\n \":title: an example of use Just for documentation purpose. ::\",\n \"Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid:\",\n \"\\\"\\\"\\\" def __init__(self, pa): \\\"\\\"\\\" documentation for the constructor @param\",\n \"value @param mul a float @return a float \\\"\\\"\\\" return\",\n \".. faqref:: :title: How to add a question ? Just\",\n \"(myexampleb). \\\"\\\"\\\" class myclass: \\\"\\\"\\\" This is the documentation for\",\n \"a this section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add\",\n \"github source: :githublink:`source|py`. \\\"\\\"\\\" def __init__(self, pa): \\\"\\\"\\\" documentation for\",\n \"in a RST file. The source documentation is parsed and\",\n \"in a page ``all_examples.rst`` (look at the source). @code m\",\n \"The old way: @example(an old example of use) This only\",\n \"pa first parameter \\\"\\\"\\\" self.pa = pa def get_value(self, mul):\",\n \"Just for documentation purpose. :: m = myclass(0) The old\",\n \"parsed and every such example is collected and placed in\",\n \"a RST file. The source documentation is parsed and every\",\n \"is collected and placed in a page ``all_examples.rst`` (look at\",\n \"Just look a this bloc. Look also :ref:`l-FAQ2`. An accent,\",\n \"def get_value(self, mul): \\\"\\\"\\\" returns the parameter multiplied by a\",\n \"is parsed and every such example is collected and placed\",\n \"utf-8 -*- \\\"\\\"\\\" @file @brief This the documentation of this\",\n \"exref:: :title: an example of use Just for documentation purpose.\",\n \"How to add a bloc :tag: aaaa Just look a\",\n \"for the constructor @param pa first parameter \\\"\\\"\\\" self.pa =\",\n \"@file @brief This the documentation of this module (myexampleb). \\\"\\\"\\\"\",\n \"placed in a page ``all_examples.rst`` (look at the source). @code\",\n \"works from the code, not inserted in a RST file.\",\n \"documentation is parsed and every such example is collected and\",\n \"only works from the code, not inserted in a RST\",\n \"the documentation. .. exref:: :title: an example of use Just\",\n \"way: @example(an old example of use) This only works from\",\n \"this module (myexampleb). \\\"\\\"\\\" class myclass: \\\"\\\"\\\" This is the\",\n \"returns the parameter multiplied by a value @param mul a\",\n \"mul): \\\"\\\"\\\" returns the parameter multiplied by a value @param\",\n \"@param pa first parameter \\\"\\\"\\\" self.pa = pa def get_value(self,\",\n \"question ? Just look a this section. Look also :ref:`l-FAQ2`.\",\n \"source documentation is parsed and every such example is collected\",\n \"is the documentation for this class. **example with a sphinx\",\n \"It works everywhere in the documentation. .. exref:: :title: an\",\n \"an example of use Just for documentation purpose. :: m\",\n \"This only works from the code, not inserted in a\",\n \"label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title:\",\n \"it is working. A link to github source: :githublink:`source|py`. \\\"\\\"\\\"\",\n \"**example with a sphinx directives** It works everywhere in the\",\n \"and placed in a page ``all_examples.rst`` (look at the source).\",\n \"**FAQ** .. faqref:: :title: How to add a question ?\",\n \"m = myclass(0) @endcode @endexample **FAQ** .. faqref:: :title: How\",\n \"the source). @code m = myclass(0) @endcode @endexample **FAQ** ..\",\n \"of use Just for documentation purpose. :: m = myclass(0)\",\n \"Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to add\"\n]","isConversational":false}}},{"rowIdx":773,"cells":{"ngram":{"kind":"list like","value":["= 1024 # Number of time steps num_ex = 10000","\"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\",","control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states =","as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ #","# batch size for TF ################################################## # noise parameters K","k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\",","This module generate a dataset \"\"\" ############################################## # preample import","= [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial","dataset \"\"\" ############################################## # preample import numpy as np from","Noise type ################################################### # control parameters pulse_shape = \"Gaussian\" #","# Noise type ################################################### # control parameters pulse_shape = \"Gaussian\"","numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################","Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega]","of time steps num_ex = 10000 # Number of examples","the system Omega = 12 # qubit energy gap static_operators","[ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state","################################################## # noise parameters K = 2000 # Number of","# Number of realzations noise_profile = [1] # Noise type","[0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]),","Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\"","1024 # Number of time steps num_ex = 10000 #","= 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] #","realzations noise_profile = [1] # Noise type ################################################### # control","batch_size = 50 # batch size for TF ################################################## #","size for TF ################################################## # noise parameters K = 2000","for TF ################################################## # noise parameters K = 2000 #","noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]])","module generate a dataset \"\"\" ############################################## # preample import numpy","np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators =","dimension of the system Omega = 12 # qubit energy","num_ex = 10000 # Number of examples batch_size = 50","noise_profile = [1] # Noise type ################################################### # control parameters","Evolution time M = 1024 # Number of time steps","control parameters pulse_shape = \"Gaussian\" # Control pulse shape num_pulses","import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name =","dim = 2 # dimension of the system Omega =","measurement operators ################################################## # simulation parameters T = 1 #","# Control pulse shape num_pulses = 5 # Number of","quantum parameters dim = 2 # dimension of the system","CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################ #","pulses per sequence #################################################### # Generate the dataset sim_parameters =","[\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\",","utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name","dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] #","parameters K = 2000 # Number of realzations noise_profile =","pulse_shape = \"Gaussian\" # Control pulse shape num_pulses = 5","a dataset \"\"\" ############################################## # preample import numpy as np","qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators","the dataset sim_parameters = dict( [(k,eval(k)) for k in [\"name\",","= Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T","################################################### # control parameters pulse_shape = \"Gaussian\" # Control pulse","pulse shape num_pulses = 5 # Number of pulses per","# Number of time steps num_ex = 10000 # Number","Number of pulses per sequence #################################################### # Generate the dataset","\"\"\" This module generate a dataset \"\"\" ############################################## # preample","dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\",","simulation parameters T = 1 # Evolution time M =","meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim","# Number of pulses per sequence #################################################### # Generate the","# noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]),","parameters T = 1 # Evolution time M = 1024","intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators","= 5 # Number of pulses per sequence #################################################### #","simulate, CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################","noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]),","\"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"] ]) CheckNoise(sim_parameters) simulate(sim_parameters)","\"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\",","# drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators","# simulation parameters T = 1 # Evolution time M","\"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"] ])","\"\"\" ############################################## # preample import numpy as np from utilites","Number of examples batch_size = 50 # batch size for","for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\",","Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]]","np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit","# quantum parameters dim = 2 # dimension of the","type ################################################### # control parameters pulse_shape = \"Gaussian\" # Control","= [1] # Noise type ################################################### # control parameters pulse_shape","per sequence #################################################### # Generate the dataset sim_parameters = dict(","# Evolution time M = 1024 # Number of time","= 10000 # Number of examples batch_size = 50 #","#################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for","sim_parameters = dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\",","of examples batch_size = 50 # batch size for TF","gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]]","Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in","[0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian","\"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\",","batch size for TF ################################################## # noise parameters K =","state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ##################################################","############################################## # preample import numpy as np from utilites import","] # intial state of qubit measurement_operators = Pauli_operators[1:] #","# control parameters pulse_shape = \"Gaussian\" # Control pulse shape","\"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"] ]) CheckNoise(sim_parameters) simulate(sim_parameters) ####################################################","of the system Omega = 12 # qubit energy gap","# preample import numpy as np from utilites import Pauli_operators,","= [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]),","of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## #","= [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control","system Omega = 12 # qubit energy gap static_operators =","parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim =","= 1 # Evolution time M = 1024 # Number","initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] #","from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters","2000 # Number of realzations noise_profile = [1] # Noise","10000 # Number of examples batch_size = 50 # batch","np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:]","K = 2000 # Number of realzations noise_profile = [1]","Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ]","Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T =","= \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2 #","static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] #","# control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states","operators ################################################## # simulation parameters T = 1 # Evolution","\"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\",","# Generate the dataset sim_parameters = dict( [(k,eval(k)) for k","T = 1 # Evolution time M = 1024 #","shape num_pulses = 5 # Number of pulses per sequence","num_pulses = 5 # Number of pulses per sequence ####################################################","= [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise","TF ################################################## # noise parameters K = 2000 # Number","[1] # Noise type ################################################### # control parameters pulse_shape =","energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators =","<reponame>eperrier/QDataSet ############################################## \"\"\" This module generate a dataset \"\"\" ##############################################","np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators","generate a dataset \"\"\" ############################################## # preample import numpy as","# intial state of qubit measurement_operators = Pauli_operators[1:] # measurement","50 # batch size for TF ################################################## # noise parameters","Number of time steps num_ex = 10000 # Number of","of realzations noise_profile = [1] # Noise type ################################################### #","\"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\",","################################################ # quantum parameters dim = 2 # dimension of","parameters dim = 2 # dimension of the system Omega","parameters pulse_shape = \"Gaussian\" # Control pulse shape num_pulses =","\"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2 # dimension","measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters","M = 1024 # Number of time steps num_ex =","= \"Gaussian\" # Control pulse shape num_pulses = 5 #","################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum","12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift","Number of realzations noise_profile = [1] # Noise type ###################################################","Control pulse shape num_pulses = 5 # Number of pulses","dataset sim_parameters = dict( [(k,eval(k)) for k in [\"name\", \"dim\",","= 2 # dimension of the system Omega = 12","time steps num_ex = 10000 # Number of examples batch_size","preample import numpy as np from utilites import Pauli_operators, simulate,","# Number of examples batch_size = 50 # batch size","np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta","# dimension of the system Omega = 12 # qubit","################################################## # simulation parameters T = 1 # Evolution time","examples batch_size = 50 # batch size for TF ##################################################","\"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"] ]) CheckNoise(sim_parameters)","in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\",","steps num_ex = 10000 # Number of examples batch_size =","= dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\",","= 50 # batch size for TF ################################################## # noise","time M = 1024 # Number of time steps num_ex","# noise parameters K = 2000 # Number of realzations","of pulses per sequence #################################################### # Generate the dataset sim_parameters","1 # Evolution time M = 1024 # Number of","############################################## \"\"\" This module generate a dataset \"\"\" ############################################## #","\"Gaussian\" # Control pulse shape num_pulses = 5 # Number","2 # dimension of the system Omega = 12 #","[(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\",","np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of","name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2","# meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters","# qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian","drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators =","# measurement operators ################################################## # simulation parameters T = 1","qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation","noise parameters K = 2000 # Number of realzations noise_profile","= 2000 # Number of realzations noise_profile = [1] #","5 # Number of pulses per sequence #################################################### # Generate","sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k))","\"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"]","import numpy as np from utilites import Pauli_operators, simulate, CheckNoise","[0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian","Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = ["],"string":"[\n \"= 1024 # Number of time steps num_ex = 10000\",\n \"\\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\",\",\n \"control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states =\",\n \"as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ #\",\n \"# batch size for TF ################################################## # noise parameters K\",\n \"k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\",\",\n \"This module generate a dataset \\\"\\\"\\\" ############################################## # preample import\",\n \"= [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial\",\n \"dataset \\\"\\\"\\\" ############################################## # preample import numpy as np from\",\n \"Noise type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\" #\",\n \"# Noise type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\"\",\n \"numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################\",\n \"Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega]\",\n \"of time steps num_ex = 10000 # Number of examples\",\n \"the system Omega = 12 # qubit energy gap static_operators\",\n \"[ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state\",\n \"################################################## # noise parameters K = 2000 # Number of\",\n \"# Number of realzations noise_profile = [1] # Noise type\",\n \"[0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]),\",\n \"Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\"\",\n \"1024 # Number of time steps num_ex = 10000 #\",\n \"= 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] #\",\n \"realzations noise_profile = [1] # Noise type ################################################### # control\",\n \"batch_size = 50 # batch size for TF ################################################## #\",\n \"size for TF ################################################## # noise parameters K = 2000\",\n \"for TF ################################################## # noise parameters K = 2000 #\",\n \"noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]])\",\n \"module generate a dataset \\\"\\\"\\\" ############################################## # preample import numpy\",\n \"np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators =\",\n \"dimension of the system Omega = 12 # qubit energy\",\n \"num_ex = 10000 # Number of examples batch_size = 50\",\n \"noise_profile = [1] # Noise type ################################################### # control parameters\",\n \"Evolution time M = 1024 # Number of time steps\",\n \"control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses\",\n \"import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name =\",\n \"dim = 2 # dimension of the system Omega =\",\n \"measurement operators ################################################## # simulation parameters T = 1 #\",\n \"# Control pulse shape num_pulses = 5 # Number of\",\n \"quantum parameters dim = 2 # dimension of the system\",\n \"CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ #\",\n \"pulses per sequence #################################################### # Generate the dataset sim_parameters =\",\n \"[\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\",\",\n \"utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name\",\n \"dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] #\",\n \"parameters K = 2000 # Number of realzations noise_profile =\",\n \"pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses = 5\",\n \"a dataset \\\"\\\"\\\" ############################################## # preample import numpy as np\",\n \"qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators\",\n \"the dataset sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\",\",\n \"= Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T\",\n \"################################################### # control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse\",\n \"pulse shape num_pulses = 5 # Number of pulses per\",\n \"# Number of time steps num_ex = 10000 # Number\",\n \"Number of pulses per sequence #################################################### # Generate the dataset\",\n \"\\\"\\\"\\\" This module generate a dataset \\\"\\\"\\\" ############################################## # preample\",\n \"dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\",\",\n \"simulation parameters T = 1 # Evolution time M =\",\n \"meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim\",\n \"# Number of pulses per sequence #################################################### # Generate the\",\n \"# noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]),\",\n \"parameters T = 1 # Evolution time M = 1024\",\n \"intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators\",\n \"= 5 # Number of pulses per sequence #################################################### #\",\n \"simulate, CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################\",\n \"noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]),\",\n \"\\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"] ]) CheckNoise(sim_parameters) simulate(sim_parameters)\",\n \"\\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\",\",\n \"# drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators\",\n \"# simulation parameters T = 1 # Evolution time M\",\n \"\\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"] ])\",\n \"\\\"\\\"\\\" ############################################## # preample import numpy as np from utilites\",\n \"Number of examples batch_size = 50 # batch size for\",\n \"for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\",\",\n \"Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]]\",\n \"np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit\",\n \"# quantum parameters dim = 2 # dimension of the\",\n \"type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\" # Control\",\n \"= [1] # Noise type ################################################### # control parameters pulse_shape\",\n \"per sequence #################################################### # Generate the dataset sim_parameters = dict(\",\n \"# Evolution time M = 1024 # Number of time\",\n \"= 10000 # Number of examples batch_size = 50 #\",\n \"#################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for\",\n \"sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\",\",\n \"of examples batch_size = 50 # batch size for TF\",\n \"gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]]\",\n \"Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in\",\n \"[0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian\",\n \"\\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\",\",\n \"batch size for TF ################################################## # noise parameters K =\",\n \"state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ##################################################\",\n \"############################################## # preample import numpy as np from utilites import\",\n \"] # intial state of qubit measurement_operators = Pauli_operators[1:] #\",\n \"# control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape\",\n \"\\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"] ]) CheckNoise(sim_parameters) simulate(sim_parameters) ####################################################\",\n \"of the system Omega = 12 # qubit energy gap\",\n \"# preample import numpy as np from utilites import Pauli_operators,\",\n \"= [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]),\",\n \"of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## #\",\n \"= [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control\",\n \"system Omega = 12 # qubit energy gap static_operators =\",\n \"parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim =\",\n \"= 1 # Evolution time M = 1024 # Number\",\n \"initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] #\",\n \"from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters\",\n \"2000 # Number of realzations noise_profile = [1] # Noise\",\n \"10000 # Number of examples batch_size = 50 # batch\",\n \"np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:]\",\n \"K = 2000 # Number of realzations noise_profile = [1]\",\n \"Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ]\",\n \"Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T =\",\n \"= \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2 #\",\n \"static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] #\",\n \"# control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states\",\n \"operators ################################################## # simulation parameters T = 1 # Evolution\",\n \"\\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\",\",\n \"# Generate the dataset sim_parameters = dict( [(k,eval(k)) for k\",\n \"T = 1 # Evolution time M = 1024 #\",\n \"shape num_pulses = 5 # Number of pulses per sequence\",\n \"num_pulses = 5 # Number of pulses per sequence ####################################################\",\n \"= [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise\",\n \"TF ################################################## # noise parameters K = 2000 # Number\",\n \"[1] # Noise type ################################################### # control parameters pulse_shape =\",\n \"energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators =\",\n \"<reponame>eperrier/QDataSet ############################################## \\\"\\\"\\\" This module generate a dataset \\\"\\\"\\\" ##############################################\",\n \"np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators\",\n \"generate a dataset \\\"\\\"\\\" ############################################## # preample import numpy as\",\n \"# intial state of qubit measurement_operators = Pauli_operators[1:] # measurement\",\n \"50 # batch size for TF ################################################## # noise parameters\",\n \"Number of time steps num_ex = 10000 # Number of\",\n \"of realzations noise_profile = [1] # Noise type ################################################### #\",\n \"\\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\",\",\n \"################################################ # quantum parameters dim = 2 # dimension of\",\n \"parameters dim = 2 # dimension of the system Omega\",\n \"parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses =\",\n \"\\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2 # dimension\",\n \"measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters\",\n \"M = 1024 # Number of time steps num_ex =\",\n \"= \\\"Gaussian\\\" # Control pulse shape num_pulses = 5 #\",\n \"################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum\",\n \"12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift\",\n \"Number of realzations noise_profile = [1] # Noise type ###################################################\",\n \"Control pulse shape num_pulses = 5 # Number of pulses\",\n \"dataset sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\",\",\n \"= 2 # dimension of the system Omega = 12\",\n \"time steps num_ex = 10000 # Number of examples batch_size\",\n \"preample import numpy as np from utilites import Pauli_operators, simulate,\",\n \"# Number of examples batch_size = 50 # batch size\",\n \"np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta\",\n \"# dimension of the system Omega = 12 # qubit\",\n \"################################################## # simulation parameters T = 1 # Evolution time\",\n \"examples batch_size = 50 # batch size for TF ##################################################\",\n \"\\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"] ]) CheckNoise(sim_parameters)\",\n \"in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\",\",\n \"steps num_ex = 10000 # Number of examples batch_size =\",\n \"= dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\",\",\n \"= 50 # batch size for TF ################################################## # noise\",\n \"time M = 1024 # Number of time steps num_ex\",\n \"# noise parameters K = 2000 # Number of realzations\",\n \"of pulses per sequence #################################################### # Generate the dataset sim_parameters\",\n \"1 # Evolution time M = 1024 # Number of\",\n \"############################################## \\\"\\\"\\\" This module generate a dataset \\\"\\\"\\\" ############################################## #\",\n \"\\\"Gaussian\\\" # Control pulse shape num_pulses = 5 # Number\",\n \"2 # dimension of the system Omega = 12 #\",\n \"[(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\",\",\n \"np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of\",\n \"name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2\",\n \"# meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters\",\n \"# qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian\",\n \"drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators =\",\n \"# measurement operators ################################################## # simulation parameters T = 1\",\n \"qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation\",\n \"noise parameters K = 2000 # Number of realzations noise_profile\",\n \"= 2000 # Number of realzations noise_profile = [1] #\",\n \"5 # Number of pulses per sequence #################################################### # Generate\",\n \"sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k))\",\n \"\\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"]\",\n \"import numpy as np from utilites import Pauli_operators, simulate, CheckNoise\",\n \"[0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian\",\n \"Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [\"\n]","isConversational":false}}},{"rowIdx":774,"cells":{"ngram":{"kind":"list like","value":[],"string":"[]","isConversational":false}}},{"rowIdx":775,"cells":{"ngram":{"kind":"list like","value":["-*- coding: utf-8 -*- \"\"\" API definition module. \"\"\" from",".resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related","from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an","api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource(","\"\"\" API definition module. \"\"\" from flask import Blueprint from","= Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow,","import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow #","Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow, '/user-follow/<int:follower_id>/<followed_username>'","UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__)","Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth,","Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem,","import Blueprint from flask_restful import Api from .resources.user import UserAuth,","-*- \"\"\" API definition module. \"\"\" from flask import Blueprint","api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem,","# Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api","<filename>user_service/user_service/api.py # -*- coding: utf-8 -*- \"\"\" API definition module.","import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint","UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp","UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api',","coding: utf-8 -*- \"\"\" API definition module. \"\"\" from flask","API definition module. \"\"\" from flask import Blueprint from flask_restful","Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create","api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow, '/user-follow/<int:follower_id>/<followed_username>' )","an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp)","module. \"\"\" from flask import Blueprint from flask_restful import Api","# -*- coding: utf-8 -*- \"\"\" API definition module. \"\"\"","Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api =","= Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>')","utf-8 -*- \"\"\" API definition module. \"\"\" from flask import","API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList,","import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth')","from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList,","flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow","UserItem, UserList, UserFollow # Create an API-related blueprint api_bp =","flask import Blueprint from flask_restful import Api from .resources.user import","blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users')","definition module. \"\"\" from flask import Blueprint from flask_restful import","\"\"\" from flask import Blueprint from flask_restful import Api from","from flask import Blueprint from flask_restful import Api from .resources.user"],"string":"[\n \"-*- coding: utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from\",\n \".resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related\",\n \"from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an\",\n \"api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource(\",\n \"\\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import Blueprint from\",\n \"= Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow,\",\n \"import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow #\",\n \"Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow, '/user-follow/<int:follower_id>/<followed_username>'\",\n \"UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__)\",\n \"Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth,\",\n \"Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem,\",\n \"import Blueprint from flask_restful import Api from .resources.user import UserAuth,\",\n \"-*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import Blueprint\",\n \"api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem,\",\n \"# Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api\",\n \"<filename>user_service/user_service/api.py # -*- coding: utf-8 -*- \\\"\\\"\\\" API definition module.\",\n \"import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint\",\n \"UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp\",\n \"UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api',\",\n \"coding: utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask\",\n \"API definition module. \\\"\\\"\\\" from flask import Blueprint from flask_restful\",\n \"Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create\",\n \"api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow, '/user-follow/<int:follower_id>/<followed_username>' )\",\n \"an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp)\",\n \"module. \\\"\\\"\\\" from flask import Blueprint from flask_restful import Api\",\n \"# -*- coding: utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\"\",\n \"Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api =\",\n \"= Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>')\",\n \"utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import\",\n \"API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList,\",\n \"import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth')\",\n \"from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList,\",\n \"flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow\",\n \"UserItem, UserList, UserFollow # Create an API-related blueprint api_bp =\",\n \"flask import Blueprint from flask_restful import Api from .resources.user import\",\n \"blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users')\",\n \"definition module. \\\"\\\"\\\" from flask import Blueprint from flask_restful import\",\n \"\\\"\\\"\\\" from flask import Blueprint from flask_restful import Api from\",\n \"from flask import Blueprint from flask_restful import Api from .resources.user\"\n]","isConversational":false}}},{"rowIdx":776,"cells":{"ngram":{"kind":"list like","value":["#!usr/bin/env python3 import itertools # itertools is a module that's","infinite iterators # Joe # John # Mike # Joe","John # Mike # Joe # John # 100 #","function is true and then returns the rest of values","python3 import itertools # itertools is a module that's not","it is part of the standard library that comes with","this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use","of the function is true and then stops giving data","and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1)","main() # CONSOLE OUTPUT: # some infinite iterators # Joe","[10, 10, 20, 30, 40, 50, 50, 50] # [10,","functions but # it is part of the standard library","cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use","true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values)))","non-infinite iterators') values = [10, 5, 20, 30, 40, 50,","they are similar to the # filter built-in function. #","that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values,","giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40","simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some","built-in functions but # it is part of the standard","and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) #","# Joe # John # Mike # Joe # John","# takewhile will keep the values from the sequence as","max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together","long as the # condition of the function is true","then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile","is part of the standard library that comes with python.","<reponame>ariannasg/python3-essential-training #!usr/bin/env python3 import itertools # itertools is a module","to cycle over a collection over and over seq1 =","itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to","'4'] # [40, 50, 40, 30] # [10, 5, 20,","the standard library that comes with python. # it's useful","addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect","# [10, 15, 35, 65, 105, 155, 195, 225] #","seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1))","values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from","30, 40, 50, 40, 30] # accumulate creates an iterator","the sequence as long as the # condition of the","with python. # it's useful for for creating and using","creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults","__name__ == \"__main__\": main() # CONSOLE OUTPUT: # some infinite","print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a","5, 5, 5, 5, 5, 5, 5] # ['A', 'B',","of the function is true and then returns the rest","print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20,","the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep","collection over and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1","# a certain condition is met that stops them. they","connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile","# Mike # Joe # John # 100 # 103","of the standard library that comes with python. # it's","# accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) #","values))) def is_less_than_forty(x): return x < 40 if __name__ ==","cycle over a collection over and over seq1 = [\"Joe\",","iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition","\"__main__\": main() # CONSOLE OUTPUT: # some infinite iterators #","# Joe # John # 100 # 103 # 106","is_less_than_forty(x): return x < 40 if __name__ == \"__main__\": main()","values from the sequence as long as the # condition","Joe # John # Mike # Joe # John #","[\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))","creating and using iterators. def main(): print('some infinite iterators') #","sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and","# CONSOLE OUTPUT: # some infinite iterators # Joe #","accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max)))","\"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) #","= itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values","= itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return","can be used to cycle over a collection over and","the values from the sequence as long as the #","values until # a certain condition is met that stops","some infinite iterators # Joe # John # Mike #","print(next(cycle1)) # use count to create a simple counter count1","import itertools # itertools is a module that's not technically","x < 40 if __name__ == \"__main__\": main() # CONSOLE","similar to the # filter built-in function. # dropwhile will","stops them. they are similar to the # filter built-in","module that's not technically a set of built-in functions but","that comes with python. # it's useful for for creating","is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty,","106 # some non-infinite iterators # [10, 15, 35, 65,","itertools # itertools is a module that's not technically a","40, 30] # accumulate creates an iterator that accumulates/aggregates values","50, 40, 30] # accumulate creates an iterator that accumulates/aggregates","a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1))","'1', '2', '3', '4'] # [40, 50, 40, 30] #","a collection over and over seq1 = [\"Joe\", \"John\", \"Mike\"]","to create a simple counter count1 = itertools.count(100, 3) print(next(count1))","dropwhile and takewhile will return values until # a certain","5, 5, 5] # ['A', 'B', 'C', 'D', '1', '2',","30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values)))","be used to cycle over a collection over and over","an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to","195, 225] # [10, 10, 20, 30, 40, 50, 50,","# itertools is a module that's not technically a set","105, 155, 195, 225] # [10, 10, 20, 30, 40,","rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the","will return values until # a certain condition is met","dropwhile will drop the values from the sequence as long","iterator can be used to cycle over a collection over","# this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) #","'3', '4'] # [40, 50, 40, 30] # [10, 5,","filter built-in function. # dropwhile will drop the values from","the function is true and then returns the rest of","print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__","stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x <","155, 195, 225] # [10, 10, 20, 30, 40, 50,","# [10, 10, 20, 30, 40, 50, 50, 50] #","counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite","# filter built-in function. # dropwhile will drop the values","standard library that comes with python. # it's useful for","keep the values from the sequence as long as the","if __name__ == \"__main__\": main() # CONSOLE OUTPUT: # some","values = [10, 5, 20, 30, 40, 50, 40, 30]","['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40,","5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4']","defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain","= [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))","and takewhile will return values until # a certain condition","from the sequence as long as the # condition of","100 # 103 # 106 # some non-infinite iterators #","print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences","# 106 # some non-infinite iterators # [10, 15, 35,","useful for for creating and using iterators. def main(): print('some","# John # Mike # Joe # John # 100","return x < 40 if __name__ == \"__main__\": main() #","python. # it's useful for for creating and using iterators.","# [10, 5, 5, 5, 5, 5, 5, 5] #","# John # 100 # 103 # 106 # some","iterators # [10, 15, 35, 65, 105, 155, 195, 225]","use count to create a simple counter count1 = itertools.count(100,","a set of built-in functions but # it is part","create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1))","a module that's not technically a set of built-in functions","5, 20, 30, 40, 50, 40, 30] # accumulate creates","itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values","print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the","Mike # Joe # John # 100 # 103 #","50, 50, 50] # [10, 5, 5, 5, 5, 5,","50, 50] # [10, 5, 5, 5, 5, 5, 5,","'C', 'D', '1', '2', '3', '4'] # [40, 50, 40,","'2', '3', '4'] # [40, 50, 40, 30] # [10,","use chain to connect sequences together x = itertools.chain('ABCD', '1234')","that's not technically a set of built-in functions but #","print(list(itertools.accumulate(values, min))) # use chain to connect sequences together x","# [40, 50, 40, 30] # [10, 5, 20, 30]","# dropwhile will drop the values from the sequence as","the # condition of the function is true and then","the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty,","and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return","20, 30, 40, 50, 50, 50] # [10, 5, 5,","# use chain to connect sequences together x = itertools.chain('ABCD',","returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will","35, 65, 105, 155, 195, 225] # [10, 10, 20,","to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) #","not technically a set of built-in functions but # it","function. # dropwhile will drop the values from the sequence","5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D',","and using iterators. def main(): print('some infinite iterators') # cycle","[10, 5, 20, 30, 40, 50, 40, 30] # accumulate","that stops them. they are similar to the # filter","built-in function. # dropwhile will drop the values from the","iterators') # cycle iterator can be used to cycle over","# condition of the function is true and then returns","is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def","# some infinite iterators # Joe # John # Mike","part of the standard library that comes with python. #","Joe # John # 100 # 103 # 106 #","itertools is a module that's not technically a set of","== \"__main__\": main() # CONSOLE OUTPUT: # some infinite iterators","def main(): print('some infinite iterators') # cycle iterator can be","technically a set of built-in functions but # it is","takewhile will keep the values from the sequence as long","[10, 15, 35, 65, 105, 155, 195, 225] # [10,","comes with python. # it's useful for for creating and","print(list(x)) # dropwhile and takewhile will return values until #","a certain condition is met that stops them. they are","values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values,","# condition of the function is true and then stops","# it's useful for for creating and using iterators. def","drop the values from the sequence as long as the","40, 50, 40, 30] # accumulate creates an iterator that","values))) # takewhile will keep the values from the sequence","'1234') print(list(x)) # dropwhile and takewhile will return values until","# ['A', 'B', 'C', 'D', '1', '2', '3', '4'] #","set of built-in functions but # it is part of","iterators') values = [10, 5, 20, 30, 40, 50, 40,","65, 105, 155, 195, 225] # [10, 10, 20, 30,","iterators # Joe # John # Mike # Joe #","5, 5] # ['A', 'B', 'C', 'D', '1', '2', '3',","using iterators. def main(): print('some infinite iterators') # cycle iterator","print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create","then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x","3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10,","print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30,","is a module that's not technically a set of built-in","# dropwhile and takewhile will return values until # a","but # it is part of the standard library that","count to create a simple counter count1 = itertools.count(100, 3)","until # a certain condition is met that stops them.","cycle iterator can be used to cycle over a collection","return values until # a certain condition is met that","over and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 =","takewhile will return values until # a certain condition is","John # 100 # 103 # 106 # some non-infinite","[10, 5, 5, 5, 5, 5, 5, 5] # ['A',","infinite iterators') # cycle iterator can be used to cycle","< 40 if __name__ == \"__main__\": main() # CONSOLE OUTPUT:","it's useful for for creating and using iterators. def main():","to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to","40 if __name__ == \"__main__\": main() # CONSOLE OUTPUT: #","used to cycle over a collection over and over seq1","for creating and using iterators. def main(): print('some infinite iterators')","is met that stops them. they are similar to the","data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if","# it is part of the standard library that comes","count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators')","'B', 'C', 'D', '1', '2', '3', '4'] # [40, 50,","\"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))","them. they are similar to the # filter built-in function.","non-infinite iterators # [10, 15, 35, 65, 105, 155, 195,","print('some non-infinite iterators') values = [10, 5, 20, 30, 40,","together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile","as the # condition of the function is true and","30, 40, 50, 50, 50] # [10, 5, 5, 5,","of built-in functions but # it is part of the","= itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count","# cycle iterator can be used to cycle over a","20, 30, 40, 50, 40, 30] # accumulate creates an","print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter","to the # filter built-in function. # dropwhile will drop","library that comes with python. # it's useful for for","will drop the values from the sequence as long as","= [10, 5, 20, 30, 40, 50, 40, 30] #","are similar to the # filter built-in function. # dropwhile","condition of the function is true and then returns the","225] # [10, 10, 20, 30, 40, 50, 50, 50]","# some non-infinite iterators # [10, 15, 35, 65, 105,","function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values)))","will keep the values from the sequence as long as","print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min)))","CONSOLE OUTPUT: # some infinite iterators # Joe # John","itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values =","5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1',","# use count to create a simple counter count1 =","as long as the # condition of the function is","# 103 # 106 # some non-infinite iterators # [10,","of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values","some non-infinite iterators # [10, 15, 35, 65, 105, 155,","print('some infinite iterators') # cycle iterator can be used to","accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this","10, 20, 30, 40, 50, 50, 50] # [10, 5,","certain condition is met that stops them. they are similar","'D', '1', '2', '3', '4'] # [40, 50, 40, 30]","min))) # use chain to connect sequences together x =","met that stops them. they are similar to the #","OUTPUT: # some infinite iterators # Joe # John #","103 # 106 # some non-infinite iterators # [10, 15,","the # filter built-in function. # dropwhile will drop the","15, 35, 65, 105, 155, 195, 225] # [10, 10,","5, 5, 5, 5, 5, 5] # ['A', 'B', 'C',","chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x))","x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will","print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5,","sequence as long as the # condition of the function","for for creating and using iterators. def main(): print('some infinite","over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1))","# 100 # 103 # 106 # some non-infinite iterators","over a collection over and over seq1 = [\"Joe\", \"John\",","50] # [10, 5, 5, 5, 5, 5, 5, 5]","def is_less_than_forty(x): return x < 40 if __name__ == \"__main__\":","40, 50, 50, 50] # [10, 5, 5, 5, 5,","iterators. def main(): print('some infinite iterators') # cycle iterator can","print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple","condition is met that stops them. they are similar to","true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x):","condition of the function is true and then stops giving","main(): print('some infinite iterators') # cycle iterator can be used"],"string":"[\n \"#!usr/bin/env python3 import itertools # itertools is a module that's\",\n \"infinite iterators # Joe # John # Mike # Joe\",\n \"John # Mike # Joe # John # 100 #\",\n \"function is true and then returns the rest of values\",\n \"python3 import itertools # itertools is a module that's not\",\n \"it is part of the standard library that comes with\",\n \"this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use\",\n \"of the function is true and then stops giving data\",\n \"and over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1)\",\n \"main() # CONSOLE OUTPUT: # some infinite iterators # Joe\",\n \"[10, 10, 20, 30, 40, 50, 50, 50] # [10,\",\n \"functions but # it is part of the standard library\",\n \"cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use\",\n \"true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values)))\",\n \"non-infinite iterators') values = [10, 5, 20, 30, 40, 50,\",\n \"they are similar to the # filter built-in function. #\",\n \"that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values,\",\n \"giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40\",\n \"simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some\",\n \"built-in functions but # it is part of the standard\",\n \"and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) #\",\n \"# Joe # John # Mike # Joe # John\",\n \"# takewhile will keep the values from the sequence as\",\n \"max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together\",\n \"long as the # condition of the function is true\",\n \"then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile\",\n \"is part of the standard library that comes with python.\",\n \"<reponame>ariannasg/python3-essential-training #!usr/bin/env python3 import itertools # itertools is a module\",\n \"to cycle over a collection over and over seq1 =\",\n \"itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to\",\n \"'4'] # [40, 50, 40, 30] # [10, 5, 20,\",\n \"the standard library that comes with python. # it's useful\",\n \"addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect\",\n \"# [10, 15, 35, 65, 105, 155, 195, 225] #\",\n \"seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1))\",\n \"values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from\",\n \"30, 40, 50, 40, 30] # accumulate creates an iterator\",\n \"the sequence as long as the # condition of the\",\n \"with python. # it's useful for for creating and using\",\n \"creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults\",\n \"__name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite\",\n \"print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a\",\n \"5, 5, 5, 5, 5, 5, 5] # ['A', 'B',\",\n \"of the function is true and then returns the rest\",\n \"print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20,\",\n \"the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep\",\n \"collection over and over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1\",\n \"# a certain condition is met that stops them. they\",\n \"connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile\",\n \"# Mike # Joe # John # 100 # 103\",\n \"of the standard library that comes with python. # it's\",\n \"# accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) #\",\n \"values))) def is_less_than_forty(x): return x < 40 if __name__ ==\",\n \"cycle over a collection over and over seq1 = [\\\"Joe\\\",\",\n \"iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition\",\n \"\\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite iterators #\",\n \"# Joe # John # 100 # 103 # 106\",\n \"is_less_than_forty(x): return x < 40 if __name__ == \\\"__main__\\\": main()\",\n \"values from the sequence as long as the # condition\",\n \"Joe # John # Mike # Joe # John #\",\n \"[\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))\",\n \"creating and using iterators. def main(): print('some infinite iterators') #\",\n \"sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and\",\n \"# CONSOLE OUTPUT: # some infinite iterators # Joe #\",\n \"accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max)))\",\n \"\\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) #\",\n \"= itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values\",\n \"= itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return\",\n \"can be used to cycle over a collection over and\",\n \"the values from the sequence as long as the #\",\n \"values until # a certain condition is met that stops\",\n \"some infinite iterators # Joe # John # Mike #\",\n \"print(next(cycle1)) # use count to create a simple counter count1\",\n \"import itertools # itertools is a module that's not technically\",\n \"x < 40 if __name__ == \\\"__main__\\\": main() # CONSOLE\",\n \"similar to the # filter built-in function. # dropwhile will\",\n \"stops them. they are similar to the # filter built-in\",\n \"module that's not technically a set of built-in functions but\",\n \"that comes with python. # it's useful for for creating\",\n \"is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty,\",\n \"106 # some non-infinite iterators # [10, 15, 35, 65,\",\n \"itertools # itertools is a module that's not technically a\",\n \"40, 30] # accumulate creates an iterator that accumulates/aggregates values\",\n \"50, 40, 30] # accumulate creates an iterator that accumulates/aggregates\",\n \"a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1))\",\n \"'1', '2', '3', '4'] # [40, 50, 40, 30] #\",\n \"a collection over and over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"]\",\n \"to create a simple counter count1 = itertools.count(100, 3) print(next(count1))\",\n \"dropwhile and takewhile will return values until # a certain\",\n \"5, 5, 5] # ['A', 'B', 'C', 'D', '1', '2',\",\n \"30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values)))\",\n \"be used to cycle over a collection over and over\",\n \"an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to\",\n \"195, 225] # [10, 10, 20, 30, 40, 50, 50,\",\n \"# itertools is a module that's not technically a set\",\n \"105, 155, 195, 225] # [10, 10, 20, 30, 40,\",\n \"rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the\",\n \"will return values until # a certain condition is met\",\n \"dropwhile will drop the values from the sequence as long\",\n \"iterator can be used to cycle over a collection over\",\n \"# this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) #\",\n \"'3', '4'] # [40, 50, 40, 30] # [10, 5,\",\n \"filter built-in function. # dropwhile will drop the values from\",\n \"the function is true and then returns the rest of\",\n \"print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__\",\n \"stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x <\",\n \"155, 195, 225] # [10, 10, 20, 30, 40, 50,\",\n \"# [10, 10, 20, 30, 40, 50, 50, 50] #\",\n \"counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite\",\n \"# filter built-in function. # dropwhile will drop the values\",\n \"standard library that comes with python. # it's useful for\",\n \"keep the values from the sequence as long as the\",\n \"if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: # some\",\n \"values = [10, 5, 20, 30, 40, 50, 40, 30]\",\n \"['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40,\",\n \"5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4']\",\n \"defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain\",\n \"= [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))\",\n \"and takewhile will return values until # a certain condition\",\n \"from the sequence as long as the # condition of\",\n \"100 # 103 # 106 # some non-infinite iterators #\",\n \"print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences\",\n \"# 106 # some non-infinite iterators # [10, 15, 35,\",\n \"useful for for creating and using iterators. def main(): print('some\",\n \"# John # Mike # Joe # John # 100\",\n \"return x < 40 if __name__ == \\\"__main__\\\": main() #\",\n \"python. # it's useful for for creating and using iterators.\",\n \"# [10, 5, 5, 5, 5, 5, 5, 5] #\",\n \"# John # 100 # 103 # 106 # some\",\n \"iterators # [10, 15, 35, 65, 105, 155, 195, 225]\",\n \"use count to create a simple counter count1 = itertools.count(100,\",\n \"a set of built-in functions but # it is part\",\n \"create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1))\",\n \"a module that's not technically a set of built-in functions\",\n \"5, 20, 30, 40, 50, 40, 30] # accumulate creates\",\n \"itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values\",\n \"print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the\",\n \"Mike # Joe # John # 100 # 103 #\",\n \"50, 50, 50] # [10, 5, 5, 5, 5, 5,\",\n \"50, 50] # [10, 5, 5, 5, 5, 5, 5,\",\n \"'C', 'D', '1', '2', '3', '4'] # [40, 50, 40,\",\n \"'2', '3', '4'] # [40, 50, 40, 30] # [10,\",\n \"use chain to connect sequences together x = itertools.chain('ABCD', '1234')\",\n \"that's not technically a set of built-in functions but #\",\n \"print(list(itertools.accumulate(values, min))) # use chain to connect sequences together x\",\n \"# [40, 50, 40, 30] # [10, 5, 20, 30]\",\n \"# dropwhile will drop the values from the sequence as\",\n \"the # condition of the function is true and then\",\n \"the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty,\",\n \"and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return\",\n \"20, 30, 40, 50, 50, 50] # [10, 5, 5,\",\n \"# use chain to connect sequences together x = itertools.chain('ABCD',\",\n \"returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will\",\n \"35, 65, 105, 155, 195, 225] # [10, 10, 20,\",\n \"to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) #\",\n \"not technically a set of built-in functions but # it\",\n \"function. # dropwhile will drop the values from the sequence\",\n \"5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D',\",\n \"and using iterators. def main(): print('some infinite iterators') # cycle\",\n \"[10, 5, 20, 30, 40, 50, 40, 30] # accumulate\",\n \"that stops them. they are similar to the # filter\",\n \"built-in function. # dropwhile will drop the values from the\",\n \"iterators') # cycle iterator can be used to cycle over\",\n \"# condition of the function is true and then returns\",\n \"is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def\",\n \"# some infinite iterators # Joe # John # Mike\",\n \"part of the standard library that comes with python. #\",\n \"Joe # John # 100 # 103 # 106 #\",\n \"itertools is a module that's not technically a set of\",\n \"== \\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite iterators\",\n \"def main(): print('some infinite iterators') # cycle iterator can be\",\n \"technically a set of built-in functions but # it is\",\n \"takewhile will keep the values from the sequence as long\",\n \"[10, 15, 35, 65, 105, 155, 195, 225] # [10,\",\n \"comes with python. # it's useful for for creating and\",\n \"print(list(x)) # dropwhile and takewhile will return values until #\",\n \"a certain condition is met that stops them. they are\",\n \"values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values,\",\n \"# condition of the function is true and then stops\",\n \"# it's useful for for creating and using iterators. def\",\n \"drop the values from the sequence as long as the\",\n \"40, 50, 40, 30] # accumulate creates an iterator that\",\n \"values))) # takewhile will keep the values from the sequence\",\n \"'1234') print(list(x)) # dropwhile and takewhile will return values until\",\n \"# ['A', 'B', 'C', 'D', '1', '2', '3', '4'] #\",\n \"set of built-in functions but # it is part of\",\n \"iterators') values = [10, 5, 20, 30, 40, 50, 40,\",\n \"65, 105, 155, 195, 225] # [10, 10, 20, 30,\",\n \"iterators # Joe # John # Mike # Joe #\",\n \"5, 5] # ['A', 'B', 'C', 'D', '1', '2', '3',\",\n \"using iterators. def main(): print('some infinite iterators') # cycle iterator\",\n \"print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create\",\n \"then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x\",\n \"3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10,\",\n \"print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30,\",\n \"is a module that's not technically a set of built-in\",\n \"# dropwhile and takewhile will return values until # a\",\n \"but # it is part of the standard library that\",\n \"count to create a simple counter count1 = itertools.count(100, 3)\",\n \"until # a certain condition is met that stops them.\",\n \"cycle iterator can be used to cycle over a collection\",\n \"return values until # a certain condition is met that\",\n \"over and over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 =\",\n \"takewhile will return values until # a certain condition is\",\n \"John # 100 # 103 # 106 # some non-infinite\",\n \"[10, 5, 5, 5, 5, 5, 5, 5] # ['A',\",\n \"infinite iterators') # cycle iterator can be used to cycle\",\n \"< 40 if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT:\",\n \"it's useful for for creating and using iterators. def main():\",\n \"to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to\",\n \"40 if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: #\",\n \"used to cycle over a collection over and over seq1\",\n \"for creating and using iterators. def main(): print('some infinite iterators')\",\n \"is met that stops them. they are similar to the\",\n \"data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if\",\n \"# it is part of the standard library that comes\",\n \"count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators')\",\n \"'B', 'C', 'D', '1', '2', '3', '4'] # [40, 50,\",\n \"\\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))\",\n \"them. they are similar to the # filter built-in function.\",\n \"non-infinite iterators # [10, 15, 35, 65, 105, 155, 195,\",\n \"print('some non-infinite iterators') values = [10, 5, 20, 30, 40,\",\n \"together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile\",\n \"as the # condition of the function is true and\",\n \"30, 40, 50, 50, 50] # [10, 5, 5, 5,\",\n \"of built-in functions but # it is part of the\",\n \"= itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count\",\n \"# cycle iterator can be used to cycle over a\",\n \"20, 30, 40, 50, 40, 30] # accumulate creates an\",\n \"print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter\",\n \"to the # filter built-in function. # dropwhile will drop\",\n \"library that comes with python. # it's useful for for\",\n \"will drop the values from the sequence as long as\",\n \"= [10, 5, 20, 30, 40, 50, 40, 30] #\",\n \"are similar to the # filter built-in function. # dropwhile\",\n \"condition of the function is true and then returns the\",\n \"225] # [10, 10, 20, 30, 40, 50, 50, 50]\",\n \"# some non-infinite iterators # [10, 15, 35, 65, 105,\",\n \"function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values)))\",\n \"will keep the values from the sequence as long as\",\n \"print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min)))\",\n \"CONSOLE OUTPUT: # some infinite iterators # Joe # John\",\n \"itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values =\",\n \"5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1',\",\n \"# use count to create a simple counter count1 =\",\n \"as long as the # condition of the function is\",\n \"# 103 # 106 # some non-infinite iterators # [10,\",\n \"of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values\",\n \"some non-infinite iterators # [10, 15, 35, 65, 105, 155,\",\n \"print('some infinite iterators') # cycle iterator can be used to\",\n \"accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this\",\n \"10, 20, 30, 40, 50, 50, 50] # [10, 5,\",\n \"certain condition is met that stops them. they are similar\",\n \"'D', '1', '2', '3', '4'] # [40, 50, 40, 30]\",\n \"min))) # use chain to connect sequences together x =\",\n \"met that stops them. they are similar to the #\",\n \"OUTPUT: # some infinite iterators # Joe # John #\",\n \"103 # 106 # some non-infinite iterators # [10, 15,\",\n \"the # filter built-in function. # dropwhile will drop the\",\n \"15, 35, 65, 105, 155, 195, 225] # [10, 10,\",\n \"5, 5, 5, 5, 5, 5] # ['A', 'B', 'C',\",\n \"chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x))\",\n \"x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will\",\n \"print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5,\",\n \"sequence as long as the # condition of the function\",\n \"for for creating and using iterators. def main(): print('some infinite\",\n \"over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1))\",\n \"# 100 # 103 # 106 # some non-infinite iterators\",\n \"over a collection over and over seq1 = [\\\"Joe\\\", \\\"John\\\",\",\n \"50] # [10, 5, 5, 5, 5, 5, 5, 5]\",\n \"def is_less_than_forty(x): return x < 40 if __name__ == \\\"__main__\\\":\",\n \"40, 50, 50, 50] # [10, 5, 5, 5, 5,\",\n \"iterators. def main(): print('some infinite iterators') # cycle iterator can\",\n \"print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple\",\n \"condition is met that stops them. they are similar to\",\n \"true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x):\",\n \"condition of the function is true and then stops giving\",\n \"main(): print('some infinite iterators') # cycle iterator can be used\"\n]","isConversational":false}}},{"rowIdx":777,"cells":{"ngram":{"kind":"list like","value":["self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode","nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco","de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa","int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone)","imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self):","str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\")","print(f\"Você pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você","essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para","= int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone =","self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def","{self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa no","= str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de","str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa","endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco =","def __imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa no número","__imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa no número {self.__telefone}.\")","class Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo =","chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar","pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta","telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco)","<gh_stars>0 class Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo","str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você","def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome","Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo)","= str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self):","pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode","self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone","def imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\") def","= str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar","codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome)","__init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome =","self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa"],"string":"[\n \"self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode\",\n \"nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco\",\n \"de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta pessoa\",\n \"int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone)\",\n \"imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self):\",\n \"str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\")\",\n \"print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você\",\n \"essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para\",\n \"= int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone =\",\n \"self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def\",\n \"{self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta pessoa no\",\n \"= str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de\",\n \"str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa\",\n \"endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco =\",\n \"def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta pessoa no número\",\n \"__imprimeTelefone(self): print(f\\\"Você pode ligar para esta pessoa no número {self.__telefone}.\\\")\",\n \"class Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo =\",\n \"chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar\",\n \"pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta\",\n \"telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco)\",\n \"<gh_stars>0 class Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo\",\n \"str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você\",\n \"def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome\",\n \"Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo)\",\n \"= str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self):\",\n \"pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode\",\n \"self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone\",\n \"def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def\",\n \"= str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar\",\n \"codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome)\",\n \"__init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome =\",\n \"self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa\"\n]","isConversational":false}}},{"rowIdx":778,"cells":{"ngram":{"kind":"list like","value":["<filename>examples/plain_text_response.py from starlette.responses import PlainTextResponse async def serve(req): return PlainTextResponse(\"Hello","from starlette.responses import PlainTextResponse async def serve(req): return PlainTextResponse(\"Hello World!\")"],"string":"[\n \"<filename>examples/plain_text_response.py from starlette.responses import PlainTextResponse async def serve(req): return PlainTextResponse(\\\"Hello\",\n \"from starlette.responses import PlainTextResponse async def serve(req): return PlainTextResponse(\\\"Hello World!\\\")\"\n]","isConversational":false}}},{"rowIdx":779,"cells":{"ngram":{"kind":"list like","value":["Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message,",": bool, optional The argument is used to filter critical","= f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj,","is used to set the `desc` attribute. version : str,","email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info,","will send an alarm if alarming attribute is `True`, email","else format # Parse the error. err_type, err_value, err_tb =","that we are logging. start_date : datetime.datetime Date when logging","just edit the value of appropriate item. with_errors : int","use own record type or change the presentaion of exeisting","self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader as upper-case","__str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def","= err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file","the application that we are logging. version : str Version","'\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message =","1 format = self.formatter.error if format is None else format","fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info'","is used to set record template. info : bool, optional","used to set logging file name. extension : str, optional","is used to define maximun number of errors. The default","= {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False","NONE. That can be changed but depends on available record","+---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical","self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory,","and all its attributes. This is an only one right","ERROR record to the output. If exception in current traceback","`Logger` methods like `ok()`, `success()`, `fail()`. If you wish to","argument is used to describe the error level. **kwargs The","optional The argument is used to set the `desc` attribute.","default is True. debug : bool, optional The argument is","critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name",": str Description of the application that we are logging.","`True`, email output is enabled and SMTP server is configurated.","is False: self.filters = {} for key, value in {'info':","False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message","True: self.formatter.configure(**format) # Create or customize record type filters. if","import time import traceback from .conf import all_loggers from .formatter","= sys.exc_info() if message is None and err_type is not","additional forms (variables) for record and message formatting. \"\"\" if","arguments, execution parameters, user parameters and environment variables and transforms","filters. if hasattr(self, 'filters') is False: self.filters = {} for","`Logger` write methods as `rectype` argument. Values are used in","is used to enable or disable execution break in case","bool) is True: self._control = control # Initialize sysinfo instance","used to open or close output `email`. html : bool,","+= 1 format = self.formatter.error if format is None else","or close output `html`. table : bool, optional The argument","a complex set of methods, items and commands that together","of the blank lines that must be written. \"\"\" string","\"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start","record types. Keys are used in `Logger` write methods as","ERRROR = 1, CRITICAL = 2). All that higher the","html : bool, optional The argument is used to open","used to set the `desc` attribute. version : str, optional","= None self.desc = None self.version = None # Some","application will be aborted. Parameters ---------- message : str, optional","debug(self, message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype","\"\"\" if self.filters.get(rectype, True) is True: record = Record(self, rectype,","forms (variables) for record and message formatting. \"\"\" if self.filters.get(rectype,","default is 1 which means that new output file will","subhead(self, string): \"\"\"Send subheader as upper-case text between two border","= dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG',","\"\"\"Check the output file statistics to catch when current file","it. # Parameter format can be either string or dictionary.","return self._with_error @property def count_errors(self): \"\"\"The number of occured errors.\"\"\"","pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output","format : str, optional The format of the error message.","configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table,","err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value,","file extension. smtp : dict, optional The argument is used","# Build the output root if it is not exists.","err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name,","maxerrors=False): # Unique name of the logger. self._name = name","argument is used to define maximum size of output file.","`Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting","in case on error. The default is True. maxsize :","default is True. critical : bool, optional The argument is","as `rectype` argument. Values are used in formatting. So if","= True self._count_errors += 1 format = self.formatter.error if format","transforms all of that to `Dataset` object. Through the `Dataset`","to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self,","Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut","if isinstance(format, dict) is False else format self.formatter = Formatter(**format)","case it is not exists yet or just customize it.","item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header","to filter info records. The default is True. debug :","filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True,","when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo =","optional The argument is used to set logging file name.","is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is","= Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename,","commands that together gives funcionality for advanced logging in different","True: self._control = control # Initialize sysinfo instance when not","Customize output file path. path = {} if directory is","''.join(exception) self.record(rectype, message, **kwargs) else: message = message or ''","to the output. Parameters ---------- message : str The message","self._control = control # Initialize sysinfo instance when not exists.","error : bool, optional The argument is used to filter","level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if","import traceback from .conf import all_loggers from .formatter import Formatter","directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error,","Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int,","if self._alarming is True and self._with_error is True: self.root.email.alarm() pass","'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages","argument is used to set logging file extension. smtp :","rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs):","in `Logger` write methods as `rectype` argument. Values are used",".formatter import Formatter from .header import Header from .output import",": int Number of errors that logger catched in the","version # Build the output root if it is not","set record template. info : bool, optional The argument is","not None: if isinstance(format, str) is True: err_name = err_type.__name__","execution. The default is 1. maxerrors : int or bool,","# Some logger important attributes self._start_date = dt.datetime.now() self.rectypes =","in current traceback exists then method will format the exception","must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None):","= {'record': format} if hasattr(self, 'formatter') is False: format =","critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to","used for additional forms (variables) for record and message formatting.","the application. self.app = None self.desc = None self.version =","directory is not None: path['dir'] = directory if filename is","self.head() pass def send(self, *args, **kwargs): \"\"\"Send email message. Note","modify # existing output if it is requested. if hasattr(self,","alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send","tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line","to filter debug records. The default is False. warning :","write(self, record): \"\"\"Direct write to the output. Parameters ---------- record","an error or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The","this dictinary. message : str The message that must be","pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record to the","records. The default is True. error : bool, optional The","# Break execution in case of critical error if permitted.","pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send","Useful when need to separate different blocks of information. Parameters","not None: path['name'] = filename if extension is not None:","if you wish to modify `rectype` form then edit appropriate","the `app` attribute. desc : str, optional The argument is","of this messages just edit the value of appropriate item.","configure DB connection. format : str, optional The argument is","in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line =","# Output shortcuts. self.console = self.root.console self.file = self.root.file self.email","Through the `Dataset` object data can be easily accessed by","used to enable or disable alarming mechanism. control : bool,","The argument is used to open or close output `html`.","int The flag shows that logger catched errors in the","self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property","isinstance(value, bool) is True: self.filters[key] = value # Customize limits","be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string =","is True: self.root.table.configure(**db) # Create formatter in case it is","True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming","dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db,","= 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def","str, optional The type of error according to `rectypes` dictionary.","table : bool, optional The argument is used to open","Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status","be either string or dictionary. # When it is string","define the break error level. maxerrors : int or bool,","it can contaion any parameter of formatter # that must","name # Attributes describing the application. self.app = None self.desc","Parameters ---------- name : str, optional The argument is used","'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete","filter critical records. alarming : bool, optional The argument is","format : str, optional The argument is used to set","| +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+","output. Parameters ---------- record : Record The argument is used","name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging","file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format,","err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file =","message = message or '' self.record(rectype, message, **kwargs) # Break","records. debug : bool, optional The argument is used to","= {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error':","connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter","means that new output file will be opened at each","to define maximun number of errors. The default is False","hasattr(self, 'filters') is False: self.filters = {} for key, value","configuration like record template, error message template, line length etc.","items and commands that together gives funcionality for advanced logging","# Add creating logger to special all_loggers dictinary. all_loggers[self._name] =","The argument is used to describe the error level. **kwargs",": pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML","error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method","message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype = 'info'","str) is True: self.app = app if isinstance(desc, str) is","that we are logging. desc : str Description of the","exception will be just printed in original Python style. Also","used to define maximun number of errors. The default is","Parse the error. err_type, err_value, err_tb = sys.exc_info() if message","maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors =","to filter warning records. error : bool, optional The argument","catched errors in the application during its execution. count_errors :","self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self,","logger. app : str Name of the application that we","must describe records format. # When it is dictionary it","bool, optional The argument is used to filter info records.","html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for","= Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create","behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize =","to filter critical records. The default is True. alarming :","name. Parameters ---------- name : str, optional The argument is","The message that must be written instead of exception. rectype","database table, HTML document - and using information from diffrent",": int or bool, optional The argument is used to","'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical':","traceback from .conf import all_loggers from .formatter import Formatter from","write records. Parameters ---------- rectype : str By default method","restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date = dt.datetime.now()","dictionary. # When it is string then it must describe","int, optional The number of the blank lines that must","\"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check","to catch when current file must be closed and new","table}.items(): if value is True: getattr(self.root, key).open() if key ==","= self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging.","str, optional Symbol that is used to bulid the bound.","all of that to `Dataset` object. Through the `Dataset` object","bool, optional The argument is used to define maximun number","you wish to modify the text of this messages just","`Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter","by calling `getlogger()` method with no name. Parameters ---------- name","is used to open or close output `html`. table :","The argument is used to filter critical records. alarming :","version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None,","if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel","def blank(self, number=1): \"\"\"Write blank lines in the output. Parameters","the date when logger must be restarted according to maxdays","= 2). All that higher the break level will interrupt","systems descriptors. Each logger must have an unique name which","optional The message that must be written instead of exception.","|error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages :","\"\"\"Print INFO message with OK.\"\"\" rectype = 'info' message =","values in table. Note that DB connection must be configured.","__calculate_restart_date(self): \"\"\"Calculate the date when logger must be restarted according","enable or disable execution break in case on error. The","bool, optional The argument is used to open or close","isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if","logging. desc : str Description of the application that we","isinstance(version, (str, int, float)) is True: self.version = version #","= alarming if isinstance(control, bool) is True: self._control = control","must be written. \"\"\" string = '\\n'*number self.write(string) pass def","value # Customize limits and parameters of execution behaviour. if","used to send it to the output `root`. \"\"\" self.__check_file_stats()","as for creatrion. Parameters ---------- app : str, optional The","define maximum number of days that will be logged to","by get item operation or by point like `sysinfo.desc['hostname']` or","If exception in current traceback exists then method will format","of information. Parameters ---------- div : str, optional Symbol that","__str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property","in the instance attribute rectypes. If you wish to use","# Customize limits and parameters of execution behaviour. if isinstance(maxsize,","pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__","record types are stored in the instance attribute rectypes. If","str Description of the application that we are logging. version","self._maxerrors: sys.exit() # Send alarm if execution was not aborted","= 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error',","optional The argument is used to set record template. info","the exception will be just printed in original Python style.","will interrupt application execution. The default is 1. maxerrors :","messages just edit the value of appropriate item. with_errors :","# When it is string then it must describe records","formatter which sets all formatting configuration like record template, error","err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line,","\"\"\"Send ERROR record to the output. If exception in current","\"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique logger name.\"\"\"","for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename)","same as for creatrion. Parameters ---------- app : str, optional","be logged to same file. maxlevel : int or bool,","same file. The default is 1 which means that new","format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays,","> self._maxerrors: sys.exit() # Send alarm if execution was not","|critical |CRITICAL | +---------+---------+ messages : dict Messages that are","exception in current traceback exists then method will format the","optional The argument is used to enable or disable alarming","---------- app : str, optional The argument is used to","When it is string then it must describe records format.","DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self):",".record import Record from .sysinfo import Sysinfo class Logger(): \"\"\"This","it is configured. if self._control is True: if level >=","False: if self.root.file.size is not None: if self.root.file.size > self._maxsize:","customize record type filters. if hasattr(self, 'filters') is False: self.filters","**kwargs): \"\"\"Send INFO record to output.\"\"\" rectype = 'info' self.record(rectype,","message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype =","any parameter of formatter # that must be customized. if","Mb. maxdays : int or bool, optional The argument is","DEBUG record to the output.\"\"\" rectype = 'debug' self.record(rectype, message,","self._with_error = False self._count_errors = 0 # Complete the initial","INFO message with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success']","wish to modify the text of this messages just edit","is used to set logging file name. extension : str,","is used te define `name` attribute app : str, optional","+= ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or","alarming if isinstance(control, bool) is True: self._control = control #","elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize","logger. self._name = name # Attributes describing the application. self.app","be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about","(int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming,","set logging file name. extension : str, optional The argument","like `ok()`, `success()`, `fail()`. If you wish to modify the","'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send","return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def name(self):","to define the break error level. maxerrors : int or","self._count_errors += 1 format = self.formatter.error if format is None","that logger catched errors in the application during its execution.","| +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+","**kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record","not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path)","is False else format self.formatter = Formatter(**format) elif isinstance(format, dict)","sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False:","self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False:","class Logger(): \"\"\"This class represents a single logger. Logger by","value in {'console': console, 'file': file, 'email': email, 'html': html,","records. alarming : bool, optional The argument is used to","dt import os import platform import pypyrus_logbook as logbook import","filter record type just set corresponding item value to False.","to filter debug records. warning : bool, optional The argument","self.header = Header(self) pass def write(self, record): \"\"\"Direct write to","for this certain call. level : int The argument is","elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message","div : str, optional Symbol that is used to bulid","if isinstance(format, str) is True: format = {'record': format} if",": pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email :","int Number of errors that logger catched in the application","table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key,","level will interrupt application execution. The default is 1. maxerrors","def debug(self, message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\"","path['name'] = filename if extension is not None: path['ext'] =","return if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day:","`Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`.","is not None: path['ext'] = extension if len(path) > 0:","record types then just add it to that dictinary. By","error records. The default is True. critical : bool, optional","= 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def","with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype, message,","which means it is disabled. Attributes ---------- name : str","isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date()",": str, optional The argument is used te define `name`","in formatting. So if you wish to modify `rectype` form","| Key | Value | +=========+=========+ |none |NONE | +---------+---------+","True: format = {'record': format} if hasattr(self, 'formatter') is False:","self.app = None self.desc = None self.version = None #","'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error","maximum size of output file. maxdays : int or bool,","if isinstance(value, bool) is True: self.filters[key] = value # Customize","self.html = self.root.html self.table = self.root.table # Set exit function.","class represents a single logger. Logger by it self is","of methods, items and commands that together gives funcionality for","used to filter warning records. error : bool, optional The","used to define the break error level. maxerrors : int","string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw","disabled. Attributes ---------- name : str Name of the logger.","must be closed and new one must be opened. \"\"\"","bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float,","'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key]","inputs includeing system specifications, flag arguments, execution parameters, user parameters","to filter critical records. alarming : bool, optional The argument","pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to","# Set exit function. atexit.register(self._exit) # Add creating logger to","The argument is used to set logging file folder. filename","True: self.filters[key] = value # Customize limits and parameters of","user messages, traceback, frames, user parameters, execution arguments and systems","object \"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique logger","enable or disable the alarming mechanism for this certain call.","lines to the output. Parameters ---------- string : str The","case of critical error if permitted. # The alarm will","set the `version` attribute. status : bool, optional The argument","Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO |","critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\"","Also method will send an alarm if alarming attribute is","that will be logged to same file. The default is","file. It can be accessed by native logbook methods or","text with the new line to the output. Parameters ----------","records. The default is True. alarming : bool, optional The","parameter to `True`. **kwargs The keyword arguments used for additional","output. Parameters ---------- number : int, optional The number of","dictinary. message : str The message that must be written.","for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all","= '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message","of output file. Must be presented as number of bytes.","> 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict)","you wish to modify `rectype` form then edit appropriate one","\"\"\" if self.root.file.status is True: if self._maxsize is not False:","then just add it to that dictinary. By default we","if permitted. # The alarm will be generated at exit","types. Keys are used in `Logger` write methods as `rectype`","formatter # that must be customized. if isinstance(format, str) is","OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs)","argument is used to filter error records. The default is","db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None,","are stored in the instance attribute rectypes. If you wish","email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root,","name : str, optional The argument is used te define","pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger must be","bound(self, div=None, length=None): \"\"\"Write horizontal border in the output. Useful","alarming attribute is `True`, email output is enabled and SMTP","with the new line to the output. Parameters ---------- message","message is None and err_type is not None: if isinstance(format,","will be just printed in original Python style. Also method","key).new() elif value is False: getattr(self.root, key).close() # Customize output","float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel,","rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL","@property def count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors","def info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype","return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date","def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self):","methods as `rectype` argument. Values are used in formatting. So",": bool, optional The argument is used to enable or","used to describe the error level. **kwargs The keyword arguments",".conf import all_loggers from .formatter import Formatter from .header import","key, value in {'console': console, 'file': file, 'email': email, 'html':","pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to","It can be accessed by native logbook methods or by","message): \"\"\"Send raw text with the new line to the","error record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass","that to `Dataset` object. Through the `Dataset` object data can","according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays))","self._maxsize is not False: if self.root.file.size is not None: if","'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS',","|WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL |","of occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None,","Header(self) pass def write(self, record): \"\"\"Direct write to the output.","formatting. So if you wish to modify `rectype` form then","as number of bytes. The default is 10 Mb. maxdays","INFO message with OK.\"\"\" rectype = 'info' message = self.messages['ok']","format = self.formatter.error if format is None else format #","dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is",": str, optional The argument is used to set logging","used to filter info records. The default is True. debug","attribute. desc : str, optional The argument is used to","filter error records. critical : bool, optional The argument is","filter warning records. error : bool, optional The argument is","error level (WARNING = 0, ERRROR = 1, CRITICAL =","True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is","function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary.","alarm if execution was not aborted but alarm is needed.","connection. db : dict, optional The argument is used to","\"\"\"Send WARNING error record to the output.\"\"\" self.error(message, rectype='warning', level=0,","warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): #","represents a single logger. Logger by it self is a","is True: self._alarming = alarming if isinstance(control, bool) is True:","isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if","subheader as upper-case text between two border lines to the","filename if extension is not None: path['ext'] = extension if","file statistics to catch when current file must be closed","written instead of exception. rectype : str, optional The type","mechanism. The default is True. control : bool, optional The","Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut","written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal","The argument is used to open or close output `file`.","True self._count_errors += 1 format = self.formatter.error if format is","break error level (WARNING = 0, ERRROR = 1, CRITICAL","is False: self.sysinfo = Sysinfo(self) # Initialize header instance when","= maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming","shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email","\"\"\"Send raw text with the new line to the output.","self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message",": int The argument is used to describe the error","is used to enable or disable alarming mechanism. The default","if it is requested. if hasattr(self, 'root') is False: self.root","`Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output","argument is used to define maximum number of days that","'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value,","configure the logger and all its attributes. This is an","string = self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader","just printed in original Python style. Also method will send","(int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays,","`Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut","records. critical : bool, optional The argument is used to","or bool, optional The argument is used to define maximun","argument is used to enable or disable alarming mechanism. The","aborted but alarm is needed. if alarming is True: self.root.email.alarm()","the `desc` attribute. version : str, optional The argument is","then set that parameter to `True`. **kwargs The keyword arguments","\"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values in","to set logging file extension. smtp : dict, optional The","number of occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None,","the instance attribute rectypes. If you wish to use own","of the application that we are logging. version : str","the application during its execution. count_errors : int Number of","The default is True. alarming : bool, optional The argument","or disable alarming mechanism. control : bool, optional The argument","= tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj =","The default is False which means it is disabled. Attributes","is used to open or close output `email`. html :","import Sysinfo class Logger(): \"\"\"This class represents a single logger.","be restarted according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date","All that higher the break level will interrupt application execution.","use own record types then just add it to that","presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper()","True) is True: record = Record(self, rectype, message, error=error, **kwargs)","output. Useful when need to separate different blocks of information.","= False self._count_errors = 0 # Complete the initial configuration.","current file must be closed and new one must be","wish to modify `rectype` form then edit appropriate one here.","pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record",": str, optional The message that must be written instead","formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration","the break level will interrupt application execution. The default is","of the logger. app : str Name of the application","the break error level (WARNING = 0, ERRROR = 1,","False which means it is disabled. Attributes ---------- name :","which parse different inputs includeing system specifications, flag arguments, execution","**kwargs): \"\"\"Send ERROR record to the output. If exception in","or disable execution break in case on error. The default","format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format)","alarming : bool, optional The argument is used to enable","is None else format # Parse the error. err_type, err_value,","- and using information from diffrent inputs: user messages, traceback,","Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) #","This is an only one right way to customize logger.","\"\"\"Send INFO record to output.\"\"\" rectype = 'info' self.record(rectype, message,","of the limit triggers worked then application will be aborted.","argument is used to filter critical records. alarming : bool,","existing output if it is requested. if hasattr(self, 'root') is","to enable or disable the alarming mechanism for this certain","= self.root.table # Set exit function. atexit.register(self._exit) # Add creating","getattr(self.root, key).close() # Customize output file path. path = {}","argument is used to filter critical records. The default is","number of errors. The default is False which means it","dict, optional The argument is used to configure SMTP connection.","point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header","generated at exit if it is configured. if self._control is","alarming mechanism for this certain call. level : int The","changed but depends on available record types. All registered record","be logged to same file. The default is 1 which","atexit import datetime as dt import os import platform import","console : bool, optional The argument is used to open","argument is used to set logging file name. extension :","the output root if it is not exists. In other","if self._control is True: if level >= self._maxlevel: sys.exit() if","control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the","the output. Parameters ---------- number : int, optional The number","used to open or close output `html`. table : bool,","smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None,","that parameter to `True`. **kwargs The keyword arguments used for","is used to open or close output `console`. file :","argument is used to set record template. info : bool,","**kwargs The keyword arguments used for additional forms (variables) for","output `root`. console : bool, optional The argument is used",": pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing","str The text that will be presented as subheader. \"\"\"","Description of the application that we are logging. version :","isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value","self._alarming is True and self._with_error is True: self.root.email.alarm() pass def","error. maxsize : int or bool, optional The argument is","or by calling `getlogger()` method with no name. Parameters ----------","then it must describe records format. # When it is","def send(self, *args, **kwargs): \"\"\"Send email message. Note that SMTP","filter critical records. The default is True. alarming : bool,","optional The argument is used to set logging file folder.","means it is disabled. Attributes ---------- name : str Name","depends on available record types. All registered record types are","that dictinary. By default we provide the next few record","of days that will be logged to same file. The","file. maxdays : int or bool, optional The argument is","__check_file_stats(self): \"\"\"Check the output file statistics to catch when current","is used to describe the error level. **kwargs The keyword","error=False, **kwargs): \"\"\"Basic method to write records. Parameters ---------- rectype","# Unique name of the logger. self._name = name #","is used to bulid the bound. length : int, optional","file : bool, optional The argument is used to open","directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None,","must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform","The message that must be written. error : bool, optional","get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`.","blank lines in the output. Parameters ---------- number : int,","write methods as `rectype` argument. Values are used in formatting.","self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True:","self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will open","**kwargs): \"\"\"Send email message. Note that SMTP server connection must","**kwargs): \"\"\"Basic method to write records. Parameters ---------- rectype :","single logger. Logger by it self is a complex set","parameters and environment variables and transforms all of that to","The argument is used te define `name` attribute app :","to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self):","self.formatter.length self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write blank","maxlevel=2, maxerrors=False): # Unique name of the logger. self._name =","are logging. version : str Version of the application that","status : bool, optional The argument is used to open","call. level : int The argument is used to describe","If you wish to use own record type or change","the break error level. maxerrors : int or bool, optional","info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if","lines in the output. Parameters ---------- number : int, optional","email, database table, HTML document - and using information from","not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm",": dict, optional The argument is used to configure SMTP","registered record types are stored in the instance attribute rectypes.","str, optional The argument is used to set record template.","system specifications, flag arguments, execution parameters, user parameters and environment","self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message","If you wish to modify the text of this messages","{} if directory is not None: path['dir'] = directory if","item. with_errors : int The flag shows that logger catched","The argument is used to filter error records. critical :","not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self)","to describe the error level. **kwargs The keyword arguments used","self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was","to configure DB connection. format : str, optional The argument","error. err_type, err_value, err_tb = sys.exc_info() if message is None","is used to define maximum number of days that will","creates the record with the type NONE. That can be","hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email,","it is requested. if hasattr(self, 'root') is False: self.root =","disable alarming mechanism. The default is True. control : bool,","execution parameters, user parameters and environment variables and transforms all","None: path['name'] = filename if extension is not None: path['ext']","| +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+","False: getattr(self.root, key).close() # Customize output file path. path =","= control # Initialize sysinfo instance when not exists. if","bulid the bound. length : int, optional Lenght of the","'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self):","error records. critical : bool, optional The argument is used","is used to set logging file folder. filename : str,","{} for key, value in {'info': info, 'debug': debug, 'error':","`True`. **kwargs The keyword arguments used for additional forms (variables)","or customize record type filters. if hasattr(self, 'filters') is False:","The argument is used to define the break error level.","when current file must be closed and new one must","for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for","optional The argument is used to filter info records. The","used te define `name` attribute app : str, optional The","date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that shows was","control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the","def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype =","isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if","warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to the output.\"\"\"","the application that we are logging. desc : str Description","not False: if self.root.file.size is not None: if self.root.file.size >","self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) #","to set logging file name. extension : str, optional The","+---------+---------+ | Key | Value | +=========+=========+ |none |NONE |","error. The default is True. maxsize : int or bool,","if isinstance(format, str) is True: err_name = err_type.__name__ err_value =","\"\"\" self._with_error = True self._count_errors += 1 format = self.formatter.error","be closed and new one must be opened. \"\"\" if","one then edit this dictinary. message : str The message","for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`.","isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record","str The message that must be written. \"\"\" self.write(f'{message}\\n') pass","self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal border in","is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new()","bool, optional The argument is used to define maximum number","type or change the presentaion of exeisting one then edit","is used to filter critical records. The default is True.","name as a python script file. It can be accessed","record and message formatting. \"\"\" if self.filters.get(rectype, True) is True:","records format. # When it is dictionary it can contaion","**kwargs) # Break execution in case of critical error if","to open or close output `console`. file : bool, optional","is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record)","configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None,","**kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype = 'info' message","the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email,","---------- string : str The text that will be presented","either string or dictionary. # When it is string then","method will format the exception according to `formatter.error` string presentation.","is configured. if self._control is True: if level >= self._maxlevel:","errors in the application during its execution. count_errors : int","is used to filter info records. The default is True.","to enable or disable execution break in case on error.","'file': file, 'email': email, 'html': html, 'table': table}.items(): if value","path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize","unique name which will help to identify it. Main application","change the presentaion of exeisting one then edit this dictinary.","*args, **kwargs): \"\"\"Send email message. Note that SMTP server connection","to `Dataset` object. Through the `Dataset` object data can be","self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None,","output is enabled and SMTP server is configurated. If one","Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets","int, optional Lenght of the bound. \"\"\" border = self.formatter.div","will be generated at exit if it is configured. if","it must describe records format. # When it is dictionary","mechanism for this certain call. level : int The argument","self.write(string) pass def subhead(self, string): \"\"\"Send subheader as upper-case text","Parameters ---------- message : str, optional The message that must","smtp : dict, optional The argument is used to configure","isinstance(format, str) is True: format = {'record': format} if hasattr(self,","= version # Build the output root if it is","critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts.","used to define maximum number of days that will be","some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish","output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs):","True: self.root.file.new() if self.header.used is True: self.head() pass def send(self,","The default is 1 which means that new output file","WARNING error record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs)","key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root,","_exit(self): # Inform about the error. if self._alarming is True","**kwargs) pass def restart(self): \"\"\"Restart logging. Will open new file.\"\"\"","status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value","error or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number","def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property","If one of the limit triggers worked then application will","optional The format of the error message. alarming : bool","maxlevel : int or bool, optional The argument is used","if it is configured. if self._control is True: if level","\"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info' message =","file name. extension : str, optional The argument is used","object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for","**kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info' message","info : bool, optional The argument is used to filter","maximum number of days that will be logged to same","is used to send it to the output `root`. \"\"\"","error record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass","if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors","f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique","message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will open new","not exists. In other case modify # existing output if","self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send","is True: self.filters[key] = value # Customize limits and parameters","stored in the instance attribute rectypes. If you wish to","control : bool, optional The argument is used to enable","optional The argument is used to filter critical records. alarming","to `True`. **kwargs The keyword arguments used for additional forms","filter error records. The default is True. critical : bool,","types are stored in the instance attribute rectypes. If you","datetime as dt import os import platform import pypyrus_logbook as","edit the value of appropriate item. with_errors : int The","of output file. maxdays : int or bool, optional The","sys import time import traceback from .conf import all_loggers from","break error level. maxerrors : int or bool, optional The","If record is error then set that parameter to `True`.","used to set the `app` attribute. desc : str, optional","int, float)) is True: self.version = version # Build the","messages : dict Messages that are printed with some `Logger`","CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs)","other case modify # existing output if it is requested.","logger catched in the application during its execution. filters :","(variables) for record and message formatting. \"\"\" self._with_error = True","of the application that we are logging. start_date : datetime.datetime","logger catched errors in the application during its execution. count_errors","important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info':","same file. maxlevel : int or bool, optional The argument","The argument is used to set the `app` attribute. desc","extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console,","filters. To filter record type just set corresponding item value","is used to define maximum size of output file. maxdays","hasattr(self, 'header') is False: self.header = Header(self) pass def write(self,","then edit appropriate one here. If you wish to use","one here. If you wish to use own record types","header instance when not exists. if hasattr(self, 'header') is False:","of the error message. alarming : bool The argument is","= traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message += ''.join(exception)","|ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict","self.formatter.div * self.formatter.length self.write(border + '\\n') pass def blank(self, number=1):","send an alarm if alarming attribute is `True`, email output","= self.formatter.error if format is None else format # Parse","self.filters = {} for key, value in {'info': info, 'debug':","self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug':",": str The text that will be presented as subheader.","True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger","be opened. \"\"\" if self.root.file.status is True: if self._maxsize is","the bound. length : int, optional Lenght of the bound.","in the output. Parameters ---------- number : int, optional The","None: path['dir'] = directory if filename is not None: path['name']","optional The argument is used te define `name` attribute app","def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to the","parameter of formatter # that must be customized. if isinstance(format,","os import platform import pypyrus_logbook as logbook import sys import","self.write(string) pass def line(self, message): \"\"\"Send raw text with the","new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True:","f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs)","original Python style. Also method will send an alarm if","email message. Note that SMTP server connection must be configured.","The default is True. debug : bool, optional The argument","optional If record is error then set that parameter to","The default is True. control : bool, optional The argument","tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name","to enable or disable alarming mechanism. The default is True.","console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db,",": str Name of the logger. app : str Name","logging file extension. smtp : dict, optional The argument is","int The argument is used to describe the error level.","10 Mb. maxdays : int or bool, optional The argument","in the application during its execution. count_errors : int Number","err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception","dictionary it can contaion any parameter of formatter # that","value of appropriate item. with_errors : int The flag shows","\"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error.","bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float,","argument is used to set the `app` attribute. desc :","of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True:","close output `table`. directory : str, optional The argument is","in {'console': console, 'file': file, 'email': email, 'html': html, 'table':","enable or disable alarming mechanism. control : bool, optional The","logger will have the same name as a python script","|debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR","Attributes ---------- name : str Name of the logger. app","attribute is `True`, email output is enabled and SMTP server","is used to open or close output `root`. console :","file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email","html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None,","string presentation. If `formatter.error` is set to `False` the exception","str, optional The message that must be written instead of","Logger by it self is a complex set of methods,","# Create formatter in case it is not exists yet","enable or disable execution break in case on error. maxsize","rectype : str By default method creates the record with","Messages that are printed with some `Logger` methods like `ok()`,","messages, traceback, frames, user parameters, execution arguments and systems descriptors.","filter info records. The default is True. debug : bool,","if directory is not None: path['dir'] = directory if filename","alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the output. If","datetime.datetime Date when logging was started. rectypes : dict All","default is True. alarming : bool, optional The argument is","= self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit)","The default is True. maxsize : int or bool, optional","`formatter.error` string presentation. If `formatter.error` is set to `False` the","self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO","must be written instead of exception. rectype : str, optional","argument is used to define maximun number of errors. \"\"\"","to set the `app` attribute. desc : str, optional The","available record types. Keys are used in `Logger` write methods","self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass","that we are logging. version : str Version of the","text between two border lines to the output. Parameters ----------","traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message += ''.join(exception) self.record(rectype,","edit appropriate one here. If you wish to use own","type filters. if hasattr(self, 'filters') is False: self.filters = {}","SMTP connection. db : dict, optional The argument is used","open or close output `console`. file : bool, optional The","as dt import os import platform import pypyrus_logbook as logbook","level (WARNING = 0, ERRROR = 1, CRITICAL = 2).","if isinstance(desc, str) is True: self.desc = desc if isinstance(version,","number of the blank lines that must be written. \"\"\"","Unique name of the logger. self._name = name # Attributes","as a python script file. It can be accessed by","disable execution break in case on error. The default is",": dict Messages that are printed with some `Logger` methods","dict Messages that are printed with some `Logger` methods like","is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool))","bool, optional The argument is used to filter debug records.","warning : bool, optional The argument is used to filter","The argument is used to filter error records. The default","str By default method creates the record with the type","None and err_type is not None: if isinstance(format, str) is","INFO record to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs)","is False: self.header = Header(self) pass def write(self, record): \"\"\"Direct","length : int, optional Lenght of the bound. \"\"\" border","maxerrors=None): \"\"\"Main method to configure the logger and all its","message, **kwargs) else: message = message or '' self.record(rectype, message,","return self._start_date @property def with_error(self): \"\"\"Flag that shows was an","record to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass","in case of critical error if permitted. # The alarm",": bool, optional The argument is used to filter info",": bool, optional The argument is used to filter warning","parse different inputs includeing system specifications, flag arguments, execution parameters,","specifications, flag arguments, execution parameters, user parameters and environment variables","that is used to bulid the bound. length : int,","Number of errors that logger catched in the application during","if isinstance(app, str) is True: self.app = app if isinstance(desc,","maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file =","The number of the blank lines that must be written.","int or bool, optional The argument is used to define","debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors)","format is None else format # Parse the error. err_type,","logging. Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if","'table': table}.items(): if value is True: getattr(self.root, key).open() if key","that new output file will be opened at each 00:00:00.","self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif","= 0, ERRROR = 1, CRITICAL = 2). All that","if hasattr(self, 'formatter') is False: format = {} if isinstance(format,","argument is used to define maximun number of errors. The","# existing output if it is requested. if hasattr(self, 'root')","err_tb) message = '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs)","to `rectypes` dictionary. format : str, optional The format of","accessed by get item operation or by point like `sysinfo.desc['hostname']`","critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value #","edit this dictinary. message : str The message that must","parameters, user parameters and environment variables and transforms all of","argument is used to open or close output `root`. console","exeisting one then edit this dictinary. message : str The","be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write","dict) is True: self.root.table.configure(**db) # Create formatter in case it","output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter","isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif","with the type NONE. That can be changed but depends","| +---------+---------+ messages : dict Messages that are printed with","= self.root.email self.html = self.root.html self.table = self.root.table # Set","the bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border +","self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will","= self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader as","logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\"","or just customize it. # Parameter format can be either","1, CRITICAL = 2). All that higher the break level","message, error=False, **kwargs): \"\"\"Basic method to write records. Parameters ----------","to `formatter.error` string presentation. If `formatter.error` is set to `False`","self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO","not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays","in the application during its execution. filters : dict Record","+---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error","directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True,","HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table.","open or close output `root`. console : bool, optional The","\"\"\"The number of occured errors.\"\"\" return self._count_errors def configure(self, app=None,","we are logging. start_date : datetime.datetime Date when logging was","type NONE. That can be changed but depends on available","If `formatter.error` is set to `False` the exception will be","if isinstance(control, bool) is True: self._control = control # Initialize","`app` attribute. desc : str, optional The argument is used","used to enable or disable the alarming mechanism for this","+ '\\n') pass def blank(self, number=1): \"\"\"Write blank lines in","close output `html`. table : bool, optional The argument is","name : str Name of the logger. app : str","message formatting. \"\"\" self._with_error = True self._count_errors += 1 format","configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the",": bool, optional The argument is used to filter error","the logger and all its attributes. This is an only","argument is used to filter error records. critical : bool,","string = '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO","isinstance(app, str) is True: self.app = app if isinstance(desc, str)","accessed by native logbook methods or by calling `getlogger()` method","output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self,","'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'}","output file path. path = {} if directory is not","warning records. error : bool, optional The argument is used","\"\"\"Send DEBUG record to the output.\"\"\" rectype = 'debug' self.record(rectype,","import Header from .output import Root from .record import Record","or close output `root`. console : bool, optional The argument","False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is","= 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def","is 10 Mb. maxdays : int or bool, optional The","logger to special all_loggers dictinary. all_loggers[self._name] = self pass def","or close output `email`. html : bool, optional The argument","the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send","maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger and",": pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file","argument is used to configure SMTP connection. db : dict,","to maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass","None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is","record template, error message template, line length etc. sysinfo :","if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays","to open or close output `email`. html : bool, optional","or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be","\"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that","the same name as a python script file. It can","that must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None,","(str, int, float)) is True: self.version = version # Build","import datetime as dt import os import platform import pypyrus_logbook","and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool))","argument is used to open or close output `email`. html","def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None,","used to filter error records. critical : bool, optional The","to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self):","if format is None else format # Parse the error.","def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR","format # Parse the error. err_type, err_value, err_tb = sys.exc_info()","execution. count_errors : int Number of errors that logger catched","= self.formatter.div * self.formatter.length self.write(border + '\\n') pass def blank(self,","warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main","the text of this messages just edit the value of","The alarm will be generated at exit if it is","message=None, **kwargs): \"\"\"Send WARNING error record to the output.\"\"\" self.error(message,","output file. Must be presented as number of bytes. The","in original Python style. Also method will send an alarm","set that parameter to `True`. **kwargs The keyword arguments used","the presentaion of exeisting one then edit this dictinary. message","SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs)","getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value","= tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value,","True: self.desc = desc if isinstance(version, (str, int, float)) is","message that must be written. error : bool, optional If","# Customize output file path. path = {} if directory","`rectype` argument. Values are used in formatting. So if you","customize logger. Parameters are the same as for creatrion. Parameters","when not exists. if hasattr(self, 'header') is False: self.header =","The output `Root` object. console : pypyrus_logbook.output.Console The output `Console`","to False. root : pypyrus_logbook.output.Root The output `Root` object. console","new one must be opened. \"\"\" if self.root.file.status is True:","object. Through the `Dataset` object data can be easily accessed","the blank lines that must be written. \"\"\" string =","str) is True: err_name = err_type.__name__ err_value = err_value for","of errors. \"\"\" if isinstance(app, str) is True: self.app =","is not None: if isinstance(format, str) is True: err_name =",": str, optional The argument is used to set record","number of errors. \"\"\" if isinstance(app, str) is True: self.app","optional The argument is used to filter error records. The","date when logger must be restarted according to maxdays parameter.","self.root.file.status is True: if self._maxsize is not False: if self.root.file.size","error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique","te define `name` attribute app : str, optional The argument","the output. Parameters ---------- string : str The text that","is used to set the `version` attribute. status : bool,","|INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING |","app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None,","number of bytes. The default is 10 Mb. maxdays :",">= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors",": str, optional The format of the error message. alarming","is True: self.app = app if isinstance(desc, str) is True:","corresponding item value to False. root : pypyrus_logbook.output.Root The output","must be written. error : bool, optional If record is","message. Note that SMTP server connection must be configured. \"\"\"","but depends on available record types. All registered record types","+---------+---------+ messages : dict Messages that are printed with some","error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO","self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG","status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None,","def bound(self, div=None, length=None): \"\"\"Write horizontal border in the output.","value in {'info': info, 'debug': debug, 'error': error, 'warning': warning,","if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if","be written instead of exception. rectype : str, optional The","appropriate item. with_errors : int The flag shows that logger","file. The default is 1 which means that new output","maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file","key).close() # Customize output file path. path = {} if","all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger","pass def set(self, **kwargs): \"\"\"Update values in table. Note that","maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays =","maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger and all","sets all formatting configuration like record template, error message template,","critical records. alarming : bool, optional The argument is used","or bool, optional The argument is used to define the",".sysinfo import Sysinfo class Logger(): \"\"\"This class represents a single","info records. debug : bool, optional The argument is used","\"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical', level=2,","on error. The default is True. maxsize : int or","define maximun number of errors. The default is False which","was an error or not.\"\"\" return self._with_error @property def count_errors(self):","or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number of","as upper-case text between two border lines to the output.",".header import Header from .output import Root from .record import","str Name of the logger. app : str Name of","if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not","break in case on error. The default is True. maxsize","Record The argument is used to send it to the","console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None,","elif value is False: getattr(self.root, key).close() # Customize output file","time import traceback from .conf import all_loggers from .formatter import","is True. alarming : bool, optional The argument is used","of days that will be logged to same file. maxlevel","output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send","lines that must be written. \"\"\" string = '\\n'*number self.write(string)","and message formatting. \"\"\" self._with_error = True self._count_errors += 1","@property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def","of critical error if permitted. # The alarm will be","info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2,","you wish to use own record types then just add","error if permitted. # The alarm will be generated at","`formatter.error` is set to `False` the exception will be just","{'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items():","started. rectypes : dict All available record types. Keys are","days that will be logged to same file. The default","style. Also method will send an alarm if alarming attribute","for additional forms (variables) for record and message formatting. \"\"\"","extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming,","records. error : bool, optional The argument is used to","of that to `Dataset` object. Through the `Dataset` object data","console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if","message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message with","user parameters and environment variables and transforms all of that","application logger will have the same name as a python","user parameters, execution arguments and systems descriptors. Each logger must","is True. control : bool, optional The argument is used","the application that we are logging. start_date : datetime.datetime Date","html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table:","logger. Logger by it self is a complex set of","used in `Logger` write methods as `rectype` argument. Values are","email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else:","interrupt application execution. The default is 1. maxerrors : int","self.version = None # Some logger important attributes self._start_date =","was started. rectypes : dict All available record types. Keys","warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] =","`file`. email : bool, optional The argument is used to","for record and message formatting. \"\"\" if self.filters.get(rectype, True) is","it to that dictinary. By default we provide the next","server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database","(int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if","is enabled and SMTP server is configurated. If one of","own record type or change the presentaion of exeisting one","used to open or close output `root`. console : bool,","that logger catched in the application during its execution. filters","few record types: +---------+---------+ | Key | Value | +=========+=========+","and err_type is not None: if isinstance(format, str) is True:","is used to open or close output `table`. directory :","method to write records. Parameters ---------- rectype : str By","level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error","if key == 'file': getattr(self.root, key).new() elif value is False:","optional The argument is used to filter warning records. The","console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`.","just add it to that dictinary. By default we provide","if execution was not aborted but alarm is needed. if","default we provide the next few record types: +---------+---------+ |","\"\"\" border = self.formatter.div * self.formatter.length self.write(border + '\\n') pass","describing the application. self.app = None self.desc = None self.version","self.header.used is True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send","\"\"\"Calculate the date when logger must be restarted according to","it is string then it must describe records format. #","= '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message","types filters. To filter record type just set corresponding item","default is True. control : bool, optional The argument is","pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email","configure SMTP connection. db : dict, optional The argument is","0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is","if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize","sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs","and using information from diffrent inputs: user messages, traceback, frames,","None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes","appropriate one here. If you wish to use own record","forms (variables) for record and message formatting. \"\"\" self._with_error =","and SMTP server is configurated. If one of the limit","argument is used to open or close output `console`. file","initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html,","self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel =","False: self.header = Header(self) pass def write(self, record): \"\"\"Direct write","self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day","record type just set corresponding item value to False. root","contaion any parameter of formatter # that must be customized.","exit if it is configured. if self._control is True: if",": str, optional The type of error according to `rectypes`","the `version` attribute. status : bool, optional The argument is","`fail()`. If you wish to modify the text of this","used to enable or disable execution break in case on","isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str,","records. Parameters ---------- rectype : str By default method creates","the writable output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None,","Must be presented as number of bytes. The default is","The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File","format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the output.","Attributes describing the application. self.app = None self.desc = None","for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for","file will be opened at each 00:00:00. maxlevel : int","separate different blocks of information. Parameters ---------- div : str,","name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False,","Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for","message with OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype,","or close output `console`. file : bool, optional The argument","optional The argument is used to set the `app` attribute.","So if you wish to modify `rectype` form then edit","set of methods, items and commands that together gives funcionality","Create formatter in case it is not exists yet or","email : bool, optional The argument is used to open","is True: self.desc = desc if isinstance(version, (str, int, float))","str, optional The argument is used to set the `app`","the alarming mechanism for this certain call. level : int","|none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG","'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors =","def write(self, record): \"\"\"Direct write to the output. Parameters ----------","to `False` the exception will be just printed in original","is used to open or close output `file`. email :","the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None,","from .formatter import Formatter from .header import Header from .output","error message. alarming : bool The argument is used to","output file statistics to catch when current file must be","root if it is not exists. In other case modify","True: self.app = app if isinstance(desc, str) is True: self.desc","**kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype = 'debug'","rectype : str, optional The type of error according to","the value of appropriate item. with_errors : int The flag","connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): #",": bool, optional The argument is used to open or","`sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can","message : str The message that must be written. error","logging was started. rectypes : dict All available record types.","is used to filter warning records. The default is True.","is used to filter info records. debug : bool, optional","to filter error records. The default is True. critical :","extension : str, optional The argument is used to set","filters : dict Record types filters. To filter record type","self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html","record): \"\"\"Direct write to the output. Parameters ---------- record :","used to set record template. info : bool, optional The","and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the","float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int,","str, optional The argument is used te define `name` attribute","version : str, optional The argument is used to set","according to `rectypes` dictionary. format : str, optional The format","def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False,","'formatter') is False: format = {} if isinstance(format, dict) is","= maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True:","to the output. If exception in current traceback exists then","# Create or customize record type filters. if hasattr(self, 'filters')","str Version of the application that we are logging. start_date",": int, optional Lenght of the bound. \"\"\" border =","control # Initialize sysinfo instance when not exists. if hasattr(self,","self is a complex set of methods, items and commands","used to filter error records. The default is True. critical","line to the output. Parameters ---------- message : str The","self.email = self.root.email self.html = self.root.html self.table = self.root.table #","used to configure DB connection. format : str, optional The","Parameters ---------- app : str, optional The argument is used","= maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors","limits and parameters of execution behaviour. if isinstance(maxsize, (int, float,","will be opened at each 00:00:00. maxlevel : int or","The text that will be presented as subheader. \"\"\" bound","pass def _exit(self): # Inform about the error. if self._alarming","open or close output `email`. html : bool, optional The","alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of","= self.root.file self.email = self.root.email self.html = self.root.html self.table =","own record types then just add it to that dictinary.","bound. length : int, optional Lenght of the bound. \"\"\"","bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border + '\\n')","sys.exit() # Send alarm if execution was not aborted but","yet or just customize it. # Parameter format can be","the output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self, string):","errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None,","= self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print","restarted according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date +","pass def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype","maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console","that must be written instead of exception. rectype : str,","`Dataset` object data can be easily accessed by get item","file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db)","wish to use own record type or change the presentaion","file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new()","True. alarming : bool, optional The argument is used to","argument is used to open or close output `table`. directory","the application during its execution. filters : dict Record types","output `html`. table : bool, optional The argument is used","to open or close output `file`. email : bool, optional","is requested. if hasattr(self, 'root') is False: self.root = Root(self,","+---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning","`root`. console : bool, optional The argument is used to","if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control,","have an unique name which will help to identify it.","`Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`.","err_value, err_tb) message = '\\n' message += ''.join(exception) self.record(rectype, message,","Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut","logbook import sys import time import traceback from .conf import","---------- name : str Name of the logger. app :","execution break in case on error. The default is True.","The argument is used to configure DB connection. format :","information. Parameters ---------- div : str, optional Symbol that is","types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE","define maximun number of errors. \"\"\" if isinstance(app, str) is","error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record","isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if","The type of error according to `rectypes` dictionary. format :",": Record The argument is used to send it to","if extension is not None: path['ext'] = extension if len(path)","error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True:","status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None,","format} if hasattr(self, 'formatter') is False: format = {} if","used to open or close output `console`. file : bool,","pass def subhead(self, string): \"\"\"Send subheader as upper-case text between","self._with_error = True self._count_errors += 1 format = self.formatter.error if","console, file, email, database table, HTML document - and using","is `True`, email output is enabled and SMTP server is","The argument is used to filter info records. The default","or close output `table`. directory : str, optional The argument","must have an unique name which will help to identify","`email`. html : bool, optional The argument is used to","bool, optional The argument is used to define the break","True. critical : bool, optional The argument is used to","extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server.","bool) is True: self._alarming = alarming if isinstance(control, bool) is","= {} for key, value in {'info': info, 'debug': debug,","raw text with the new line to the output. Parameters","db : dict, optional The argument is used to configure","the output. If exception in current traceback exists then method","to identify it. Main application logger will have the same","self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day: self.restart() return","def head(self): \"\"\"Send header to the output.\"\"\" string = self.header.create()","'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None,","modify the text of this messages just edit the value","self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic","open or close output `html`. table : bool, optional The","is string then it must describe records format. # When","of errors that logger catched in the application during its","is True: err_name = err_type.__name__ err_value = err_value for tb","permitted. # The alarm will be generated at exit if","used to filter critical records. alarming : bool, optional The","to set the `desc` attribute. version : str, optional The","days that will be logged to same file. maxlevel :","to use own record type or change the presentaion of","maxsize : int or bool, optional The argument is used","smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control,","be opened at each 00:00:00. maxlevel : int or bool,","'header') is False: self.header = Header(self) pass def write(self, record):","f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw text with","text of this messages just edit the value of appropriate","that are printed with some `Logger` methods like `ok()`, `success()`,","The argument is used to set the `version` attribute. status","'' self.record(rectype, message, **kwargs) # Break execution in case of","according to `formatter.error` string presentation. If `formatter.error` is set to","argument is used to open or close output `html`. table","is used to filter debug records. The default is False.","# Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db)","used to open or close output `file`. email : bool,","exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) #","import sys import time import traceback from .conf import all_loggers","extension is not None: path['ext'] = extension if len(path) >","str The message that must be written. error : bool,","argument is used to filter debug records. The default is","import Root from .record import Record from .sysinfo import Sysinfo","The flag shows that logger catched errors in the application","to filter warning records. The default is True. error :","= f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw text","filter debug records. The default is False. warning : bool,","object data can be easily accessed by get item operation","if isinstance(version, (str, int, float)) is True: self.version = version","self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error =","False: format = {} if isinstance(format, dict) is False else","text that will be presented as subheader. \"\"\" bound =","keyword arguments used for additional forms (variables) for record and","The argument is used to set logging file name. extension","argument is used to configure DB connection. format : str,","to modify the text of this messages just edit the","file folder. filename : str, optional The argument is used","writable output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True,","value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root,","during its execution. filters : dict Record types filters. To","str, optional The format of the error message. alarming :","self.desc = desc if isinstance(version, (str, int, float)) is True:","the output. Parameters ---------- record : Record The argument is","True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not","the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype,","1. maxerrors : int or bool, optional The argument is","import all_loggers from .formatter import Formatter from .header import Header","warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) #","= directory if filename is not None: path['name'] = filename","= self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print","used to configure SMTP connection. db : dict, optional The","to same file. The default is 1 which means that","start_date : datetime.datetime Date when logging was started. rectypes :","path = {} if directory is not None: path['dir'] =","hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header","'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 #","argument is used to set logging file folder. filename :","self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming =","file, email, database table, HTML document - and using information","`rectypes` dictionary. format : str, optional The format of the","start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that shows","logger must have an unique name which will help to","alarm will be generated at exit if it is configured.","\"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True,","attribute rectypes. If you wish to use own record type","header to the output.\"\"\" string = self.header.create() self.write(string) pass def","self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write blank lines","# that must be customized. if isinstance(format, str) is True:","**kwargs) else: message = message or '' self.record(rectype, message, **kwargs)","of errors. The default is False which means it is","'filters') is False: self.filters = {} for key, value in","during its execution. count_errors : int Number of errors that","'email': email, 'html': html, 'table': table}.items(): if value is True:","warning records. The default is True. error : bool, optional",": bool, optional The argument is used to filter debug","err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type,","None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) #","is used to filter debug records. warning : bool, optional","or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header","not exists. if hasattr(self, 'header') is False: self.header = Header(self)","exception. rectype : str, optional The type of error according","filter debug records. warning : bool, optional The argument is","The argument is used to filter info records. debug :","\"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info' message =","is used to set logging file extension. smtp : dict,","open or close output `table`. directory : str, optional The","error then set that parameter to `True`. **kwargs The keyword","= (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output","output. Parameters ---------- message : str The message that must","no name. Parameters ---------- name : str, optional The argument","self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors >","native logbook methods or by calling `getlogger()` method with no","attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO',","records. The default is False. warning : bool, optional The","`name` attribute app : str, optional The argument is used","self._start_date @property def with_error(self): \"\"\"Flag that shows was an error","| +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages","else: message = message or '' self.record(rectype, message, **kwargs) #","00:00:00. maxlevel : int or bool, optional The argument is","method with no name. Parameters ---------- name : str, optional","# Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp)","The argument is used to define maximum number of days","`False` the exception will be just printed in original Python","argument is used to filter debug records. warning : bool,","to same file. maxlevel : int or bool, optional The","level=1, **kwargs): \"\"\"Send ERROR record to the output. If exception","'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok':","file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email.","'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance","The default is 1. maxerrors : int or bool, optional","|info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING","optional The argument is used to define maximum number of","\"\"\"Main method to configure the logger and all its attributes.","argument is used to enable or disable the alarming mechanism","debug : bool, optional The argument is used to filter","is not exists yet or just customize it. # Parameter","in the output. Useful when need to separate different blocks","output `table`. directory : str, optional The argument is used","return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None,","True: if self._maxsize is not False: if self.root.file.size is not","subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass","output if it is requested. if hasattr(self, 'root') is False:","f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj","def __check_file_stats(self): \"\"\"Check the output file statistics to catch when","import atexit import datetime as dt import os import platform","Record types filters. To filter record type just set corresponding","is True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send email","tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file,","**kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record to","to set record template. info : bool, optional The argument","rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None,","str Name of the application that we are logging. desc","`Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`.","**kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb)","certain call. level : int The argument is used to","opened at each 00:00:00. maxlevel : int or bool, optional","records. The default is True. debug : bool, optional The","DB connection. format : str, optional The argument is used","self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table","must be customized. if isinstance(format, str) is True: format =","traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1]","item value to False. root : pypyrus_logbook.output.Root The output `Root`","To filter record type just set corresponding item value to","message that must be written instead of exception. rectype :","length=None): \"\"\"Write horizontal border in the output. Useful when need","+---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages","filter info records. debug : bool, optional The argument is","case on error. maxsize : int or bool, optional The","logger. Parameters are the same as for creatrion. Parameters ----------","will format the exception according to `formatter.error` string presentation. If","from .output import Root from .record import Record from .sysinfo","optional The argument is used to filter debug records. warning","self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True:","The message that must be written. \"\"\" self.write(f'{message}\\n') pass def","If you wish to use own record types then just","version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension,","describe the error level. **kwargs The keyword arguments used for","# Attributes describing the application. self.app = None self.desc =","be changed but depends on available record types. All registered","The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output","err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception =","error according to `rectypes` dictionary. format : str, optional The","'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open()","types. All registered record types are stored in the instance","occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None,","Set exit function. atexit.register(self._exit) # Add creating logger to special","aborted. Parameters ---------- message : str, optional The message that","we are logging. version : str Version of the application","self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record","in different outputs: console, file, email, database table, HTML document","> self._maxsize: self.restart() return if self._maxdays is not False: if","desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename,","message. alarming : bool The argument is used to enable","it is disabled. Attributes ---------- name : str Name of","'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'}","not aborted but alarm is needed. if alarming is True:","is False. warning : bool, optional The argument is used","to filter info records. debug : bool, optional The argument","record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def","template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo","Parameters ---------- message : str The message that must be","enable or disable alarming mechanism. The default is True. control","def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to the","record : Record The argument is used to send it","default method creates the record with the type NONE. That","= app if isinstance(desc, str) is True: self.desc = desc","attribute. status : bool, optional The argument is used to","email output is enabled and SMTP server is configurated. If","closed and new one must be opened. \"\"\" if self.root.file.status","alarming mechanism. The default is True. control : bool, optional","directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in","the exception according to `formatter.error` string presentation. If `formatter.error` is","next few record types: +---------+---------+ | Key | Value |","must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs):","smtp=smtp, db=db) else: for key, value in {'console': console, 'file':","err_value, err_tb = sys.exc_info() if message is None and err_type","The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The","import Record from .sysinfo import Sysinfo class Logger(): \"\"\"This class","'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() #","execution in case of critical error if permitted. # The","close output `console`. file : bool, optional The argument is","is False which means it is disabled. Attributes ---------- name","`getlogger()` method with no name. Parameters ---------- name : str,","message with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype,","'\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message with","directory : str, optional The argument is used to set","exception according to `formatter.error` string presentation. If `formatter.error` is set","with no name. Parameters ---------- name : str, optional The","False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if","`rectype` form then edit appropriate one here. If you wish","if self.filters.get(rectype, True) is True: record = Record(self, rectype, message,","optional The argument is used to configure SMTP connection. db","argument is used to set the `version` attribute. status :","table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which","maximun number of errors. \"\"\" if isinstance(app, str) is True:","filename is not None: path['name'] = filename if extension is","is False: format = {} if isinstance(format, dict) is False","getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize","at exit if it is configured. if self._control is True:","be generated at exit if it is configured. if self._control","if message is None and err_type is not None: if","formatting. \"\"\" if self.filters.get(rectype, True) is True: record = Record(self,","set logging file extension. smtp : dict, optional The argument","execution break in case on error. maxsize : int or","message, **kwargs) # Break execution in case of critical error","if self._maxsize is not False: if self.root.file.size is not None:","self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger","used to define the break error level (WARNING = 0,","info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None,","| +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+","+---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that","template. info : bool, optional The argument is used to","presentaion of exeisting one then edit this dictinary. message :","one right way to customize logger. Parameters are the same","arguments and systems descriptors. Each logger must have an unique","to the output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self,","`console`. file : bool, optional The argument is used to","desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None,","level. **kwargs The keyword arguments used for additional forms (variables)","calling `getlogger()` method with no name. Parameters ---------- name :","can be either string or dictionary. # When it is","the output. Parameters ---------- message : str The message that","is a complex set of methods, items and commands that","count_errors : int Number of errors that logger catched in","to filter error records. critical : bool, optional The argument","'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is","rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass","of error according to `rectypes` dictionary. format : str, optional","message that must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self,","The argument is used to filter debug records. The default","The argument is used to open or close output `console`.","pass def info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\"","logging file folder. filename : str, optional The argument is","pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system","The argument is used to set logging file extension. smtp","horizontal border in the output. Useful when need to separate","= 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs):","table. Note that DB connection must be configured. \"\"\" self.root.table.write(**kwargs)","set corresponding item value to False. root : pypyrus_logbook.output.Root The","---------- message : str The message that must be written.","True. control : bool, optional The argument is used to","platform import pypyrus_logbook as logbook import sys import time import","folder. filename : str, optional The argument is used to","'FAIL'} self._with_error = False self._count_errors = 0 # Complete the","= err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code","self.sysinfo = Sysinfo(self) # Initialize header instance when not exists.","that must be written. error : bool, optional If record","to that dictinary. By default we provide the next few","isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool)","is used to configure SMTP connection. db : dict, optional","or change the presentaion of exeisting one then edit this","formatting. \"\"\" self._with_error = True self._count_errors += 1 format =","Break execution in case of critical error if permitted. #","of the logger. self._name = name # Attributes describing the","Sysinfo(self) # Initialize header instance when not exists. if hasattr(self,","or dictionary. # When it is string then it must",": str Version of the application that we are logging.","rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass","`ok()`, `success()`, `fail()`. If you wish to modify the text","used to filter debug records. warning : bool, optional The","file, 'email': email, 'html': html, 'table': table}.items(): if value is","Each logger must have an unique name which will help","printed to the writable output. \"\"\" def __init__(self, name=None, app=None,","one of the limit triggers worked then application will be","configured. if self._control is True: if level >= self._maxlevel: sys.exit()","optional The argument is used to configure DB connection. format","exists then method will format the exception according to `formatter.error`","if hasattr(self, 'filters') is False: self.filters = {} for key,","False. root : pypyrus_logbook.output.Root The output `Root` object. console :","maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if","which sets all formatting configuration like record template, error message","dict Record types filters. To filter record type just set","True. error : bool, optional The argument is used to","\"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs):","and new one must be opened. \"\"\" if self.root.file.status is","alarm if alarming attribute is `True`, email output is enabled","The default is False. warning : bool, optional The argument","self._alarming = alarming if isinstance(control, bool) is True: self._control =","Root from .record import Record from .sysinfo import Sysinfo class","\"\"\"Update values in table. Note that DB connection must be","be written. error : bool, optional If record is error","not None: path['dir'] = directory if filename is not None:","output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self,","level=2, **kwargs) pass def head(self): \"\"\"Send header to the output.\"\"\"","operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header :","bool, optional The argument is used to enable or disable","| Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO","The argument is used to enable or disable the alarming","{} if isinstance(format, dict) is False else format self.formatter =","or close output `file`. email : bool, optional The argument","each 00:00:00. maxlevel : int or bool, optional The argument","document - and using information from diffrent inputs: user messages,","Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or","the error. if self._alarming is True and self._with_error is True:","then edit this dictinary. message : str The message that","Inform about the error. if self._alarming is True and self._with_error","it is not exists. In other case modify # existing",".output import Root from .record import Record from .sysinfo import","is True. critical : bool, optional The argument is used","will have the same name as a python script file.","email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html:","pass def blank(self, number=1): \"\"\"Write blank lines in the output.","error : bool, optional If record is error then set","err_tb = sys.exc_info() if message is None and err_type is","string): \"\"\"Send subheader as upper-case text between two border lines","Python style. Also method will send an alarm if alarming","|CRITICAL | +---------+---------+ messages : dict Messages that are printed","modify `rectype` form then edit appropriate one here. If you","Parameters are the same as for creatrion. Parameters ---------- app","connection. format : str, optional The argument is used to","HTML document - and using information from diffrent inputs: user","header : pypyrus_logbook.header.Header The header that can be printed to","dictionary. format : str, optional The format of the error","blank(self, number=1): \"\"\"Write blank lines in the output. Parameters ----------","on available record types. All registered record types are stored","= dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used","presented as number of bytes. The default is 10 Mb.","it is not exists yet or just customize it. #","rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header to the","= Header(self) pass def write(self, record): \"\"\"Direct write to the","python script file. It can be accessed by native logbook","set the `desc` attribute. version : str, optional The argument","is set to `False` the exception will be just printed","it. Main application logger will have the same name as","printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If","= Sysinfo(self) # Initialize header instance when not exists. if","is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table,","argument is used to enable or disable execution break in","\"\"\" string = '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print","the next few record types: +---------+---------+ | Key | Value","message or '' self.record(rectype, message, **kwargs) # Break execution in","extension. smtp : dict, optional The argument is used to","optional The argument is used to define maximun number of","format can be either string or dictionary. # When it","import pypyrus_logbook as logbook import sys import time import traceback","\"\"\"Send subheader as upper-case text between two border lines to","header that can be printed to the writable output. \"\"\"","optional The type of error according to `rectypes` dictionary. format","is used to filter warning records. error : bool, optional","close output `email`. html : bool, optional The argument is","is used to set the `app` attribute. desc : str,","format. # When it is dictionary it can contaion any","Note that DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass","of the application that we are logging. desc : str","self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True:","False: self.filters = {} for key, value in {'info': info,","Name of the application that we are logging. desc :","is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n'","html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug,","directory if filename is not None: path['name'] = filename if","will be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string","db=db) else: for key, value in {'console': console, 'file': file,","here. If you wish to use own record types then","path. path = {} if directory is not None: path['dir']","self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return","The argument is used to open or close output `root`.","optional The argument is used to define the break error","special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return","pass def bound(self, div=None, length=None): \"\"\"Write horizontal border in the","execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize","for record and message formatting. \"\"\" self._with_error = True self._count_errors","is True: self._control = control # Initialize sysinfo instance when","to set the `version` attribute. status : bool, optional The","send it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass","self.version = version # Build the output root if it",": dict Record types filters. To filter record type just","output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output","disable alarming mechanism. control : bool, optional The argument is","to open or close output `table`. directory : str, optional","one must be opened. \"\"\" if self.root.file.status is True: if","\"\"\"Write blank lines in the output. Parameters ---------- number :","\"\"\"Direct write to the output. Parameters ---------- record : Record","html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if","alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console","Output shortcuts. self.console = self.root.console self.file = self.root.file self.email =","is error then set that parameter to `True`. **kwargs The","None self.desc = None self.version = None # Some logger","self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add","The argument is used to filter warning records. error :","attributes. This is an only one right way to customize","os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True,","new output file will be opened at each 00:00:00. maxlevel","by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The","message : str, optional The message that must be written","The default is True. critical : bool, optional The argument","connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self,","a single logger. Logger by it self is a complex","\"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal border","and environment variables and transforms all of that to `Dataset`","optional The argument is used to enable or disable execution","__repr__ = __str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return","is used to define the break error level (WARNING =",": str Name of the application that we are logging.","Keys are used in `Logger` write methods as `rectype` argument.","level : int The argument is used to describe the",": str, optional The argument is used to set the","dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning':","optional The argument is used to define maximum size of","right way to customize logger. Parameters are the same as","len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp,","**kwargs): \"\"\"Send WARNING error record to the output.\"\"\" self.error(message, rectype='warning',","like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that","records. The default is True. critical : bool, optional The","that will be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n'","(variables) for record and message formatting. \"\"\" if self.filters.get(rectype, True)","pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The","self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING',","to define maximum size of output file. Must be presented","optional The argument is used to open or close output","to the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass","True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error","The argument is used to enable or disable execution break","format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None,","default is True. error : bool, optional The argument is","shows was an error or not.\"\"\" return self._with_error @property def","record and message formatting. \"\"\" self._with_error = True self._count_errors +=","is used to filter critical records. alarming : bool, optional","CRITICAL = 2). All that higher the break level will","available record types. All registered record types are stored in","of bytes. The default is 10 Mb. maxdays : int","__init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False,","\"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def","(self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file","enabled and SMTP server is configurated. If one of the","output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object.","bool, optional The argument is used to filter error records.","err_type is not None: if isinstance(format, str) is True: err_name","then method will format the exception according to `formatter.error` string","is used to filter error records. The default is True.","will be logged to same file. maxlevel : int or","extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None,",": pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like","|NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG |","traceback exists then method will format the exception according to","record is error then set that parameter to `True`. **kwargs","logger must be restarted according to maxdays parameter. \"\"\" self.__restart_date","must be opened. \"\"\" if self.root.file.status is True: if self._maxsize","Header from .output import Root from .record import Record from","{'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR',","that will be logged to same file. maxlevel : int","triggers worked then application will be aborted. Parameters ---------- message","we provide the next few record types: +---------+---------+ | Key","value is False: getattr(self.root, key).close() # Customize output file path.","like record template, error message template, line length etc. sysinfo","are logging. start_date : datetime.datetime Date when logging was started.","Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none':","float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool)","'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail':","self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method","parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is","optional The argument is used to filter info records. debug","need to separate different blocks of information. Parameters ---------- div","SMTP server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass","<filename>pypyrus_logbook/logger.py<gh_stars>0 import atexit import datetime as dt import os import","table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None,","is used to filter error records. critical : bool, optional","Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file,","is True: if self._maxsize is not False: if self.root.file.size is","self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors","bool) is True: self.filters[key] = value # Customize limits and","errors that logger catched in the application during its execution.","to configure the logger and all its attributes. This is","The keyword arguments used for additional forms (variables) for record","used to filter debug records. The default is False. warning","level. maxerrors : int or bool, optional The argument is","if filename is not None: path['name'] = filename if extension","message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs):","of exception. rectype : str, optional The type of error","application that we are logging. version : str Version of","used to set the `version` attribute. status : bool, optional","catched in the application during its execution. filters : dict",": dict All available record types. Keys are used in","with_errors : int The flag shows that logger catched errors","message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart","variables and transforms all of that to `Dataset` object. Through","as logbook import sys import time import traceback from .conf","= self pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__","will be aborted. Parameters ---------- message : str, optional The","\"\"\"Write horizontal border in the output. Useful when need to","path['dir'] = directory if filename is not None: path['name'] =","desc : str, optional The argument is used to set","types then just add it to that dictinary. By default","Initialize header instance when not exists. if hasattr(self, 'header') is","self.formatter.error if format is None else format # Parse the","that must be customized. if isinstance(format, str) is True: format","to open or close output `html`. table : bool, optional","html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False,","or '' self.record(rectype, message, **kwargs) # Break execution in case","= os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message,","to define the break error level (WARNING = 0, ERRROR","file. maxlevel : int or bool, optional The argument is","pass def line(self, message): \"\"\"Send raw text with the new",": str By default method creates the record with the","f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send","self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True:","additional forms (variables) for record and message formatting. \"\"\" self._with_error","= {} if isinstance(format, dict) is False else format self.formatter","file. Must be presented as number of bytes. The default","---------- message : str, optional The message that must be","can be easily accessed by get item operation or by","application execution. The default is 1. maxerrors : int or","is used to enable or disable alarming mechanism. control :","argument is used to define the break error level. maxerrors","describe records format. # When it is dictionary it can","self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc,","or disable the alarming mechanism for this certain call. level","info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype =","True: self._alarming = alarming if isinstance(control, bool) is True: self._control","opened. \"\"\" if self.root.file.status is True: if self._maxsize is not","**kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO record","application that we are logging. desc : str Description of","of the bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border","from .header import Header from .output import Root from .record","argument is used to filter info records. The default is","True: err_name = err_type.__name__ err_value = err_value for tb in","argument is used to set the `desc` attribute. version :","None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value","self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() #","is not None: path['name'] = filename if extension is not","logged to same file. maxlevel : int or bool, optional","The default is 10 Mb. maxdays : int or bool,","err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False:","= None # Some logger important attributes self._start_date = dt.datetime.now()","upper-case text between two border lines to the output. Parameters","bytes. The default is 10 Mb. maxdays : int or","rectypes. If you wish to use own record type or","= maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays","same name as a python script file. It can be","includeing system specifications, flag arguments, execution parameters, user parameters and","maximun number of errors. The default is False which means","is used to define the break error level. maxerrors :","The header that can be printed to the writable output.","default is True. maxsize : int or bool, optional The","\"\"\"Restart logging. Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date()","Build the output root if it is not exists. In","and commands that together gives funcionality for advanced logging in","---------- name : str, optional The argument is used te","---------- record : Record The argument is used to send","define the break error level (WARNING = 0, ERRROR =","def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype =","environment variables and transforms all of that to `Dataset` object.","The argument is used to define maximum size of output","debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool)","argument is used to filter warning records. error : bool,","identify it. Main application logger will have the same name","open or close output `file`. email : bool, optional The","isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case","\"\"\"Send email message. Note that SMTP server connection must be","format the exception according to `formatter.error` string presentation. If `formatter.error`","if hasattr(self, 'header') is False: self.header = Header(self) pass def","True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass","`Dataset` object. Through the `Dataset` object data can be easily","When it is dictionary it can contaion any parameter of","attribute app : str, optional The argument is used to","err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype,","if level >= self._maxlevel: sys.exit() if self._maxerrors is not False:","an alarm if alarming attribute is `True`, email output is","that DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def","all_loggers from .formatter import Formatter from .header import Header from","app : str Name of the application that we are","True: self.version = version # Build the output root if","'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0","is True: format = {'record': format} if hasattr(self, 'formatter') is","used in formatting. So if you wish to modify `rectype`","\"\"\" if isinstance(app, str) is True: self.app = app if","errors. \"\"\" if isinstance(app, str) is True: self.app = app","\"\"\"Send header to the output.\"\"\" string = self.header.create() self.write(string) pass","default is 10 Mb. maxdays : int or bool, optional","Parameters ---------- number : int, optional The number of the","pypyrus_logbook.header.Header The header that can be printed to the writable","desc : str Description of the application that we are","True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is","`sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed","self.root.table.configure(**db) # Create formatter in case it is not exists","**kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical',","argument is used to send it to the output `root`.","self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) #","method will send an alarm if alarming attribute is `True`,","By default we provide the next few record types: +---------+---------+","**kwargs) pass def set(self, **kwargs): \"\"\"Update values in table. Note",": pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The","was not aborted but alarm is needed. if alarming is","rectypes : dict All available record types. Keys are used","is not None: path['dir'] = directory if filename is not","table, HTML document - and using information from diffrent inputs:","float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int,","message : str The message that must be written. \"\"\"","the new line to the output. Parameters ---------- message :","errors. The default is False which means it is disabled.","can be printed to the writable output. \"\"\" def __init__(self,","error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output","to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self,","type of error according to `rectypes` dictionary. format : str,",": int, optional The number of the blank lines that","if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize","default is False which means it is disabled. Attributes ----------","dict All available record types. Keys are used in `Logger`","maxdays : int or bool, optional The argument is used","close output `root`. console : bool, optional The argument is","= __str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return self._name","from .record import Record from .sysinfo import Sysinfo class Logger():","argument is used to open or close output `file`. email","def line(self, message): \"\"\"Send raw text with the new line","'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self,","message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message with","= None self.version = None # Some logger important attributes","desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None,","application that we are logging. start_date : datetime.datetime Date when","the same as for creatrion. Parameters ---------- app : str,","is not False: if self.root.file.size is not None: if self.root.file.size","are logging. desc : str Description of the application that",": int The flag shows that logger catched errors in","== 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close()","name. extension : str, optional The argument is used to","if alarming attribute is `True`, email output is enabled and","filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None,","all its attributes. This is an only one right way","border in the output. Useful when need to separate different","= message or '' self.record(rectype, message, **kwargs) # Break execution","The argument is used to enable or disable alarming mechanism.","exists yet or just customize it. # Parameter format can","to write records. Parameters ---------- rectype : str By default","instance attribute rectypes. If you wish to use own record","is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True:","optional The argument is used to filter warning records. error","root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console","maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger.","methods or by calling `getlogger()` method with no name. Parameters","argument is used to filter info records. debug : bool,","def restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date =","format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1,","traceback, frames, user parameters, execution arguments and systems descriptors. Each","arguments used for additional forms (variables) for record and message","By default method creates the record with the type NONE.","is True: self.root.file.new() if self.header.used is True: self.head() pass def","string then it must describe records format. # When it","case modify # existing output if it is requested. if","a python script file. It can be accessed by native","str, optional The argument is used to set the `version`","are used in formatting. So if you wish to modify","file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None,","`version` attribute. status : bool, optional The argument is used","to bulid the bound. length : int, optional Lenght of","is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float,","advanced logging in different outputs: console, file, email, database table,","records. warning : bool, optional The argument is used to","debug records. warning : bool, optional The argument is used","break level will interrupt application execution. The default is 1.","True: self.root.table.configure(**db) # Create formatter in case it is not","we are logging. desc : str Description of the application","# Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo')","optional The number of the blank lines that must be","pass def head(self): \"\"\"Send header to the output.\"\"\" string =","used to open or close output `table`. directory : str,","will be logged to same file. The default is 1","The argument is used to define the break error level","instance when not exists. if hasattr(self, 'header') is False: self.header","the error. err_type, err_value, err_tb = sys.exc_info() if message is","is not None: if self.root.file.size > self._maxsize: self.restart() return if","record types. All registered record types are stored in the","alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure","of appropriate item. with_errors : int The flag shows that","INFO message with FAIL.\"\"\" rectype = 'info' message = self.messages['fail']","False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app,","dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file statistics to","The argument is used to configure SMTP connection. db :","self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False,","to the writable output. \"\"\" def __init__(self, name=None, app=None, desc=None,","from .conf import all_loggers from .formatter import Formatter from .header","argument. Values are used in formatting. So if you wish","output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message,","desc if isinstance(version, (str, int, float)) is True: self.version =","`html`. table : bool, optional The argument is used to","'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success':","pass def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype","self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table","The argument is used to set the `desc` attribute. version","is True. debug : bool, optional The argument is used","---------- number : int, optional The number of the blank","bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is","record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def","maximum size of output file. Must be presented as number","the output. Useful when need to separate different blocks of","output `email`. html : bool, optional The argument is used","logged to same file. The default is 1 which means","used to enable or disable alarming mechanism. The default is","import os import platform import pypyrus_logbook as logbook import sys","attribute. version : str, optional The argument is used to","self._name = name # Attributes describing the application. self.app =","console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp,","application during its execution. count_errors : int Number of errors","record to the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs)","to separate different blocks of information. Parameters ---------- div :","bool The argument is used to enable or disable the","self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the","Main application logger will have the same name as a","self.root.email self.html = self.root.html self.table = self.root.table # Set exit","pass def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype","str) is True: self.desc = desc if isinstance(version, (str, int,","div=None, length=None): \"\"\"Write horizontal border in the output. Useful when","+=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug","string or dictionary. # When it is string then it","All registered record types are stored in the instance attribute","error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is","= f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message):","set to `False` the exception will be just printed in","instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo","optional The argument is used to filter critical records. The","def set(self, **kwargs): \"\"\"Update values in table. Note that DB","define `name` attribute app : str, optional The argument is","**kwargs): \"\"\"Update values in table. Note that DB connection must","send(self, *args, **kwargs): \"\"\"Send email message. Note that SMTP server","The argument is used to open or close output `email`.","to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass def","template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object","formatter in case it is not exists yet or just","record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def","Lenght of the bound. \"\"\" border = self.formatter.div * self.formatter.length","email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document.","self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype,","2). All that higher the break level will interrupt application","Record from .sysinfo import Sysinfo class Logger(): \"\"\"This class represents","if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart()","dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object","alarming mechanism. control : bool, optional The argument is used","is 1 which means that new output file will be","The argument is used to filter warning records. The default","sys.exc_info() if message is None and err_type is not None:","blocks of information. Parameters ---------- div : str, optional Symbol","if value is True: getattr(self.root, key).open() if key == 'file':","provide the next few record types: +---------+---------+ | Key |","creatrion. Parameters ---------- app : str, optional The argument is","using information from diffrent inputs: user messages, traceback, frames, user","FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs)","= extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP","and systems descriptors. Each logger must have an unique name","console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None,","is used to enable or disable the alarming mechanism for","outputs: console, file, email, database table, HTML document - and","wish to use own record types then just add it","written. error : bool, optional If record is error then","import Formatter from .header import Header from .output import Root","True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool))","pass def write(self, record): \"\"\"Direct write to the output. Parameters","is True. maxsize : int or bool, optional The argument","at each 00:00:00. maxlevel : int or bool, optional The","self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if","to use own record types then just add it to","to the output. Parameters ---------- record : Record The argument","output file will be opened at each 00:00:00. maxlevel :","execution was not aborted but alarm is needed. if alarming","count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors def configure(self,","close output `file`. email : bool, optional The argument is","maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel","self.desc = None self.version = None # Some logger important","requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console,","True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send email message.","be just printed in original Python style. Also method will","# The alarm will be generated at exit if it","written. \"\"\" string = '\\n'*number self.write(string) pass def ok(self, **kwargs):","just customize it. # Parameter format can be either string","def subhead(self, string): \"\"\"Send subheader as upper-case text between two","(WARNING = 0, ERRROR = 1, CRITICAL = 2). All","The default is True. error : bool, optional The argument","if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file,","The argument is used to open or close output `table`.","statistics to catch when current file must be closed and","flag shows that logger catched errors in the application during","number=1): \"\"\"Write blank lines in the output. Parameters ---------- number","**kwargs) pass def head(self): \"\"\"Send header to the output.\"\"\" string","type just set corresponding item value to False. root :","Parameters ---------- div : str, optional Symbol that is used","to open or close output `root`. console : bool, optional","be accessed by native logbook methods or by calling `getlogger()`","info records. The default is True. debug : bool, optional","application. self.app = None self.desc = None self.version = None","debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None):","with some `Logger` methods like `ok()`, `success()`, `fail()`. If you","The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The","'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK',","filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical,","for key, value in {'console': console, 'file': file, 'email': email,","the limit triggers worked then application will be aborted. Parameters","In other case modify # existing output if it is","inputs: user messages, traceback, frames, user parameters, execution arguments and","an unique name which will help to identify it. Main","logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE',","message=None, **kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message,","configurated. If one of the limit triggers worked then application","The argument is used to filter critical records. The default","maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file","or disable alarming mechanism. The default is True. control :","that higher the break level will interrupt application execution. The","is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool))","version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None,","dictinary. By default we provide the next few record types:","Sysinfo class Logger(): \"\"\"This class represents a single logger. Logger",": datetime.datetime Date when logging was started. rectypes : dict","logging. start_date : datetime.datetime Date when logging was started. rectypes","is True: self.version = version # Build the output root","to the output. Parameters ---------- string : str The text","different inputs includeing system specifications, flag arguments, execution parameters, user","be customized. if isinstance(format, str) is True: format = {'record':","maxerrors : int or bool, optional The argument is used","used to set logging file folder. filename : str, optional","format of the error message. alarming : bool The argument","define maximum size of output file. maxdays : int or","error level. **kwargs The keyword arguments used for additional forms","be aborted. Parameters ---------- message : str, optional The message","if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day: self.restart()","used to bulid the bound. length : int, optional Lenght","Note that SMTP server connection must be configured. \"\"\" self.root.email.send(*args,","False: self.sysinfo = Sysinfo(self) # Initialize header instance when not","The argument is used to set record template. info :","Formatter from .header import Header from .output import Root from","then application will be aborted. Parameters ---------- message : str,","default is 1. maxerrors : int or bool, optional The","logbook methods or by calling `getlogger()` method with no name.","creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass","this certain call. level : int The argument is used","in table. Note that DB connection must be configured. \"\"\"","{'record': format} if hasattr(self, 'formatter') is False: format = {}","True. maxsize : int or bool, optional The argument is","is needed. if alarming is True: self.root.email.alarm() pass def warning(self,","err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code","execution. filters : dict Record types filters. To filter record","# Parameter format can be either string or dictionary. #","about the error. if self._alarming is True and self._with_error is","formatting configuration like record template, error message template, line length","pass def send(self, *args, **kwargs): \"\"\"Send email message. Note that","file must be closed and new one must be opened.","used to filter critical records. The default is True. alarming","table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter :","its execution. filters : dict Record types filters. To filter","be presented as number of bytes. The default is 10","be easily accessed by get item operation or by point","err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb):","filename : str, optional The argument is used to set","email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True,","dict) is True: self.formatter.configure(**format) # Create or customize record type","bool, optional If record is error then set that parameter","needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None,","is False: getattr(self.root, key).close() # Customize output file path. path","of exeisting one then edit this dictinary. message : str","alarming : bool The argument is used to enable or","self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if","optional Symbol that is used to bulid the bound. length","be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update","presentation. If `formatter.error` is set to `False` the exception will","used to define maximum size of output file. Must be","Create or customize record type filters. if hasattr(self, 'filters') is","server is configurated. If one of the limit triggers worked","message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send","message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input","default is False. warning : bool, optional The argument is","method to configure the logger and all its attributes. This","critical records. The default is True. alarming : bool, optional","bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self,","from .sysinfo import Sysinfo class Logger(): \"\"\"This class represents a","pass def restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date","logging file name. extension : str, optional The argument is","def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self):","when logger must be restarted according to maxdays parameter. \"\"\"","**kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\"","record template. info : bool, optional The argument is used","in case on error. maxsize : int or bool, optional","@property def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def","|DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR |","head(self): \"\"\"Send header to the output.\"\"\" string = self.header.create() self.write(string)","maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def",": str, optional Symbol that is used to bulid the","when need to separate different blocks of information. Parameters ----------","border = self.formatter.div * self.formatter.length self.write(border + '\\n') pass def","different outputs: console, file, email, database table, HTML document -","and transforms all of that to `Dataset` object. Through the","Date when logging was started. rectypes : dict All available","higher the break level will interrupt application execution. The default","on error. maxsize : int or bool, optional The argument","its execution. count_errors : int Number of errors that logger","bool, optional The argument is used to filter critical records.","configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values","key, value in {'info': info, 'debug': debug, 'error': error, 'warning':","def __calculate_restart_date(self): \"\"\"Calculate the date when logger must be restarted","rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message,","database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create","pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table","db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10),","else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True:","def _exit(self): # Inform about the error. if self._alarming is","None else format # Parse the error. err_type, err_value, err_tb","rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the","def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to write","that can be printed to the writable output. \"\"\" def","an only one right way to customize logger. Parameters are","self._with_error @property def count_errors(self): \"\"\"The number of occured errors.\"\"\" return","different blocks of information. Parameters ---------- div : str, optional","optional The argument is used to filter error records. critical","self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header to","is used to define maximun number of errors. \"\"\" if","(int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors,","worked then application will be aborted. Parameters ---------- message :","status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp,","instead of exception. rectype : str, optional The type of","self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values in table.","script file. It can be accessed by native logbook methods","{'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors","self.app = app if isinstance(desc, str) is True: self.desc =","to configure SMTP connection. db : dict, optional The argument","self pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ =","# Parse the error. err_type, err_value, err_tb = sys.exc_info() if","all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \"{self._name}\">'","if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit()","customized. if isinstance(format, str) is True: format = {'record': format}","Logger(): \"\"\"This class represents a single logger. Logger by it","is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when","argument is used to filter warning records. The default is","in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical':","if self.root.file.status is True: if self._maxsize is not False: if","Version of the application that we are logging. start_date :","`desc` attribute. version : str, optional The argument is used","sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors:","Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) #","**kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info' message","`table`. directory : str, optional The argument is used to","bool, optional The argument is used to filter warning records.","be written. \"\"\" string = '\\n'*number self.write(string) pass def ok(self,","| +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+","Parameters ---------- rectype : str By default method creates the","open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is","is True. error : bool, optional The argument is used","the logger. self._name = name # Attributes describing the application.","# Send alarm if execution was not aborted but alarm","easily accessed by get item operation or by point like","# When it is dictionary it can contaion any parameter","Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension,","border lines to the output. Parameters ---------- string : str","must be restarted according to maxdays parameter. \"\"\" self.__restart_date =","argument is used to define the break error level (WARNING","to send it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record)","output. Parameters ---------- string : str The text that will","+ dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file statistics","= desc if isinstance(version, (str, int, float)) is True: self.version","its attributes. This is an only one right way to","name which will help to identify it. Main application logger","for key, value in {'info': info, 'debug': debug, 'error': error,","printed in original Python style. Also method will send an","that shows was an error or not.\"\"\" return self._with_error @property","logger and all its attributes. This is an only one","new line to the output. Parameters ---------- message : str","format = {'record': format} if hasattr(self, 'formatter') is False: format","is not False: if self._count_errors > self._maxerrors: sys.exit() # Send",": pypyrus_logbook.header.Header The header that can be printed to the","define maximum size of output file. Must be presented as","diffrent inputs: user messages, traceback, frames, user parameters, execution arguments","self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html","pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file :","app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None,","'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self,","`root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False,","self.restart() return if self._maxdays is not False: if self.__restart_date.day ==","set(self, **kwargs): \"\"\"Update values in table. Note that DB connection","dict) is False else format self.formatter = Formatter(**format) elif isinstance(format,","str, optional The argument is used to set logging file","True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is","is used to define maximum size of output file. Must","funcionality for advanced logging in different outputs: console, file, email,","line(self, message): \"\"\"Send raw text with the new line to","help to identify it. Main application logger will have the","Send alarm if execution was not aborted but alarm is","by native logbook methods or by calling `getlogger()` method with","output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output","not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number of occured","self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error,","methods like `ok()`, `success()`, `fail()`. If you wish to modify","self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory,","break in case on error. maxsize : int or bool,","to define maximum size of output file. maxdays : int","logging. version : str Version of the application that we","output file. maxdays : int or bool, optional The argument","parameters, execution arguments and systems descriptors. Each logger must have","message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format","output `console`. file : bool, optional The argument is used","output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML","complex set of methods, items and commands that together gives","can contaion any parameter of formatter # that must be","to define maximum number of days that will be logged","---------- rectype : str By default method creates the record","The format of the error message. alarming : bool The","will help to identify it. Main application logger will have","with_error(self): \"\"\"Flag that shows was an error or not.\"\"\" return","exists. if hasattr(self, 'header') is False: self.header = Header(self) pass","is disabled. Attributes ---------- name : str Name of the","= value # Customize limits and parameters of execution behaviour.","to modify `rectype` form then edit appropriate one here. If","optional The argument is used to filter debug records. The","are printed with some `Logger` methods like `ok()`, `success()`, `fail()`.","{'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items():","'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html,","write to the output. Parameters ---------- record : Record The","Parameters ---------- string : str The text that will be","key).open() if key == 'file': getattr(self.root, key).new() elif value is","format = {} if isinstance(format, dict) is False else format","\"\"\"Flag that shows was an error or not.\"\"\" return self._with_error","record types: +---------+---------+ | Key | Value | +=========+=========+ |none","output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The","argument is used te define `name` attribute app : str,","app if isinstance(desc, str) is True: self.desc = desc if","**kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs):","pypyrus_logbook as logbook import sys import time import traceback from","when logging was started. rectypes : dict All available record","it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def","rectype, message, error=False, **kwargs): \"\"\"Basic method to write records. Parameters","def with_error(self): \"\"\"Flag that shows was an error or not.\"\"\"","success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info'","can be changed but depends on available record types. All",": bool The argument is used to enable or disable","catch when current file must be closed and new one","self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO record to","exit function. atexit.register(self._exit) # Add creating logger to special all_loggers","True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate","message = '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else:","number : int, optional The number of the blank lines","or disable execution break in case on error. maxsize :","if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in","if self.header.used is True: self.head() pass def send(self, *args, **kwargs):","optional Lenght of the bound. \"\"\" border = self.formatter.div *","maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger","of formatter # that must be customized. if isinstance(format, str)","and message formatting. \"\"\" if self.filters.get(rectype, True) is True: record","used to define maximum size of output file. maxdays :","db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize,","for creatrion. Parameters ---------- app : str, optional The argument","not exists yet or just customize it. # Parameter format","to set logging file folder. filename : str, optional The","mechanism. control : bool, optional The argument is used to","the error message. alarming : bool The argument is used","number of days that will be logged to same file.","the output file statistics to catch when current file must","to enable or disable alarming mechanism. control : bool, optional","The argument is used to define maximun number of errors.","Name of the logger. app : str Name of the","are the same as for creatrion. Parameters ---------- app :","critical : bool, optional The argument is used to filter","Symbol that is used to bulid the bound. length :","set logging file folder. filename : str, optional The argument","application during its execution. filters : dict Record types filters.","case on error. The default is True. maxsize : int","argument is used to enable or disable alarming mechanism. control","Special input object which parse different inputs includeing system specifications,","to define maximun number of errors. \"\"\" if isinstance(app, str)","is dictionary it can contaion any parameter of formatter #","\"\"\"Basic method to write records. Parameters ---------- rectype : str",": dict, optional The argument is used to configure DB","self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date","`success()`, `fail()`. If you wish to modify the text of","is configurated. If one of the limit triggers worked then","or bool, optional The argument is used to define maximum","if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection.","format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message =","string : str The text that will be presented as","pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter","error. if self._alarming is True and self._with_error is True: self.root.email.alarm()","float)) is True: self.version = version # Build the output","server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def","# Initialize header instance when not exists. if hasattr(self, 'header')","def count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors def","only one right way to customize logger. Parameters are the",": bool, optional If record is error then set that","table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True,","the record with the type NONE. That can be changed","False. warning : bool, optional The argument is used to","this messages just edit the value of appropriate item. with_errors","document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut","optional The argument is used to set logging file extension.","Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self","the type NONE. That can be changed but depends on","parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self):","that together gives funcionality for advanced logging in different outputs:","# Inform about the error. if self._alarming is True and","used to filter warning records. The default is True. error","by it self is a complex set of methods, items","start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag","is an only one right way to customize logger. Parameters","\"\"\"This class represents a single logger. Logger by it self","all formatting configuration like record template, error message template, line","error level. maxerrors : int or bool, optional The argument","size of output file. maxdays : int or bool, optional","be printed to the writable output. \"\"\" def __init__(self, name=None,","output root if it is not exists. In other case","filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console':","gives funcionality for advanced logging in different outputs: console, file,","alarm is needed. if alarming is True: self.root.email.alarm() pass def","self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is","which means that new output file will be opened at","email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None,","* self.formatter.length self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write","if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution","blank lines that must be written. \"\"\" string = '\\n'*number","just set corresponding item value to False. root : pypyrus_logbook.output.Root","between two border lines to the output. Parameters ---------- string","is None and err_type is not None: if isinstance(format, str)","output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header","in case it is not exists yet or just customize","are used in `Logger` write methods as `rectype` argument. Values","message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs):","1 which means that new output file will be opened","frames, user parameters, execution arguments and systems descriptors. Each logger","False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status,","self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args,","pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to","you wish to use own record type or change the","if it is not exists. In other case modify #",": str The message that must be written. error :","record type filters. if hasattr(self, 'filters') is False: self.filters =","str, optional The argument is used to set the `desc`","@property def with_error(self): \"\"\"Flag that shows was an error or","else: for key, value in {'console': console, 'file': file, 'email':","err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code =","All available record types. Keys are used in `Logger` write","is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self):","debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False):","message formatting. \"\"\" if self.filters.get(rectype, True) is True: record =","def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype =","optional The argument is used to set the `version` attribute.","if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head()","exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message +=","it is dictionary it can contaion any parameter of formatter","|warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL","current traceback exists then method will format the exception according","is True: self.formatter.configure(**format) # Create or customize record type filters.","file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None,","control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console =","disable execution break in case on error. maxsize : int","critical error if permitted. # The alarm will be generated","= Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self,","the error level. **kwargs The keyword arguments used for additional","execution arguments and systems descriptors. Each logger must have an","self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\"","length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse","used to define maximun number of errors. \"\"\" if isinstance(app,","= name # Attributes describing the application. self.app = None","is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict)","with FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message,","SMTP server is configurated. If one of the limit triggers","ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype = 'info'","= filename if extension is not None: path['ext'] = extension","descriptors. Each logger must have an unique name which will","bool, optional The argument is used to define maximum size","etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different","is not exists. In other case modify # existing output","customize it. # Parameter format can be either string or","Parameters ---------- record : Record The argument is used to","used to filter info records. debug : bool, optional The","message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1,","can be accessed by native logbook methods or by calling","object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file.","output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True,","# Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console,","output. If exception in current traceback exists then method will","import platform import pypyrus_logbook as logbook import sys import time","methods, items and commands that together gives funcionality for advanced","shows that logger catched errors in the application during its","it self is a complex set of methods, items and","Values are used in formatting. So if you wish to","input object which parse different inputs includeing system specifications, flag","object which parse different inputs includeing system specifications, flag arguments,","extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True,","'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages =","value to False. root : pypyrus_logbook.output.Root The output `Root` object.","'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value","message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record","as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string)","filter warning records. The default is True. error : bool,","isinstance(control, bool) is True: self._control = control # Initialize sysinfo","that SMTP server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs)","SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize","message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message","two border lines to the output. Parameters ---------- string :","record type or change the presentaion of exeisting one then","is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING","limit triggers worked then application will be aborted. Parameters ----------","smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True,","info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel,","is 1. maxerrors : int or bool, optional The argument",": str The message that must be written. \"\"\" self.write(f'{message}\\n')","rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass","name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return","have the same name as a python script file. It","together gives funcionality for advanced logging in different outputs: console,","for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for","message with FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype,","version : str Version of the application that we are","file path. path = {} if directory is not None:","if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs):","Parameter format can be either string or dictionary. # When","logging in different outputs: console, file, email, database table, HTML","is used to configure DB connection. format : str, optional","= self.root.console self.file = self.root.file self.email = self.root.email self.html =","used to set logging file extension. smtp : dict, optional","data can be easily accessed by get item operation or","but alarm is needed. if alarming is True: self.root.email.alarm() pass","**kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\"","for advanced logging in different outputs: console, file, email, database","0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status,","add it to that dictinary. By default we provide the","That can be changed but depends on available record types.","message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to","from diffrent inputs: user messages, traceback, frames, user parameters, execution","Logger formatter which sets all formatting configuration like record template,","hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict)","line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which","to customize logger. Parameters are the same as for creatrion.","method creates the record with the type NONE. That can","record to the output. If exception in current traceback exists","err_type, err_value, err_tb = sys.exc_info() if message is None and","Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is","exists. In other case modify # existing output if it","'\\n') pass def blank(self, number=1): \"\"\"Write blank lines in the","the logger. app : str Name of the application that","self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True:","0, ERRROR = 1, CRITICAL = 2). All that higher","maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name","error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special","app : str, optional The argument is used to set","self.filters[key] = value # Customize limits and parameters of execution","with OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message,","way to customize logger. Parameters are the same as for","name of the logger. self._name = name # Attributes describing","the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def","self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger must","set the `app` attribute. desc : str, optional The argument","which will help to identify it. Main application logger will","The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger","The argument is used to filter debug records. warning :","information from diffrent inputs: user messages, traceback, frames, user parameters,","True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif","dict, optional The argument is used to configure DB connection.","True. debug : bool, optional The argument is used to","Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info","table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning,","disable the alarming mechanism for this certain call. level :","size of output file. Must be presented as number of","the `Dataset` object data can be easily accessed by get","pass def __check_file_stats(self): \"\"\"Check the output file statistics to catch","= 1, CRITICAL = 2). All that higher the break","output `file`. email : bool, optional The argument is used","record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to write records.","flag arguments, execution parameters, user parameters and environment variables and","that must be written. \"\"\" string = '\\n'*number self.write(string) pass","---------- div : str, optional Symbol that is used to","form then edit appropriate one here. If you wish to","atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name]","self.record(rectype, message, **kwargs) # Break execution in case of critical","The argument is used to send it to the output","None self.version = None # Some logger important attributes self._start_date","= {} if directory is not None: path['dir'] = directory","bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int,","debug records. The default is False. warning : bool, optional","= 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version,","str) is True: format = {'record': format} if hasattr(self, 'formatter')","record with the type NONE. That can be changed but"],"string":"[\n \"Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message,\",\n \": bool, optional The argument is used to filter critical\",\n \"= f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj,\",\n \"is used to set the `desc` attribute. version : str,\",\n \"email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info,\",\n \"will send an alarm if alarming attribute is `True`, email\",\n \"else format # Parse the error. err_type, err_value, err_tb =\",\n \"that we are logging. start_date : datetime.datetime Date when logging\",\n \"just edit the value of appropriate item. with_errors : int\",\n \"use own record type or change the presentaion of exeisting\",\n \"self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case\",\n \"__str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def\",\n \"= err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file\",\n \"the application that we are logging. version : str Version\",\n \"'\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message =\",\n \"1 format = self.formatter.error if format is None else format\",\n \"fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info'\",\n \"is used to set record template. info : bool, optional\",\n \"used to set logging file name. extension : str, optional\",\n \"is used to define maximun number of errors. The default\",\n \"= {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False\",\n \"NONE. That can be changed but depends on available record\",\n \"+---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical\",\n \"self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory,\",\n \"and all its attributes. This is an only one right\",\n \"ERROR record to the output. If exception in current traceback\",\n \"`Logger` methods like `ok()`, `success()`, `fail()`. If you wish to\",\n \"argument is used to describe the error level. **kwargs The\",\n \"optional The argument is used to set the `desc` attribute.\",\n \"default is True. debug : bool, optional The argument is\",\n \"critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name\",\n \": str Description of the application that we are logging.\",\n \"`True`, email output is enabled and SMTP server is configurated.\",\n \"is False: self.filters = {} for key, value in {'info':\",\n \"False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message\",\n \"True: self.formatter.configure(**format) # Create or customize record type filters. if\",\n \"import time import traceback from .conf import all_loggers from .formatter\",\n \"= sys.exc_info() if message is None and err_type is not\",\n \"additional forms (variables) for record and message formatting. \\\"\\\"\\\" if\",\n \"arguments, execution parameters, user parameters and environment variables and transforms\",\n \"filters. if hasattr(self, 'filters') is False: self.filters = {} for\",\n \"`Logger` write methods as `rectype` argument. Values are used in\",\n \"is used to enable or disable execution break in case\",\n \"bool) is True: self._control = control # Initialize sysinfo instance\",\n \"used to open or close output `email`. html : bool,\",\n \"+= 1 format = self.formatter.error if format is None else\",\n \"or close output `html`. table : bool, optional The argument\",\n \"a complex set of methods, items and commands that together\",\n \"of the blank lines that must be written. \\\"\\\"\\\" string\",\n \"\\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start\",\n \"record types. Keys are used in `Logger` write methods as\",\n \"ERRROR = 1, CRITICAL = 2). All that higher the\",\n \"html : bool, optional The argument is used to open\",\n \"used to set the `desc` attribute. version : str, optional\",\n \"= None self.desc = None self.version = None # Some\",\n \"application will be aborted. Parameters ---------- message : str, optional\",\n \"debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype\",\n \"\\\"\\\"\\\" if self.filters.get(rectype, True) is True: record = Record(self, rectype,\",\n \"forms (variables) for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype,\",\n \"default is 1 which means that new output file will\",\n \"subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between two border\",\n \"= dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG',\",\n \"\\\"\\\"\\\"Check the output file statistics to catch when current file\",\n \"it. # Parameter format can be either string or dictionary.\",\n \"return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\"\",\n \"pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output\",\n \"format : str, optional The format of the error message.\",\n \"configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table,\",\n \"err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value,\",\n \"file extension. smtp : dict, optional The argument is used\",\n \"# Build the output root if it is not exists.\",\n \"err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name,\",\n \"maxerrors=False): # Unique name of the logger. self._name = name\",\n \"argument is used to define maximum size of output file.\",\n \"`Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting\",\n \"in case on error. The default is True. maxsize :\",\n \"default is True. critical : bool, optional The argument is\",\n \"as `rectype` argument. Values are used in formatting. So if\",\n \"= True self._count_errors += 1 format = self.formatter.error if format\",\n \"transforms all of that to `Dataset` object. Through the `Dataset`\",\n \"to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self,\",\n \"Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut\",\n \"if isinstance(format, dict) is False else format self.formatter = Formatter(**format)\",\n \"case it is not exists yet or just customize it.\",\n \"item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header\",\n \"to filter info records. The default is True. debug :\",\n \"filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True,\",\n \"when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo =\",\n \"optional The argument is used to set logging file name.\",\n \"is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is\",\n \"= Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename,\",\n \"commands that together gives funcionality for advanced logging in different\",\n \"True: self._control = control # Initialize sysinfo instance when not\",\n \"Customize output file path. path = {} if directory is\",\n \"''.join(exception) self.record(rectype, message, **kwargs) else: message = message or ''\",\n \"to the output. Parameters ---------- message : str The message\",\n \"self._control = control # Initialize sysinfo instance when not exists.\",\n \"error : bool, optional The argument is used to filter\",\n \"level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if\",\n \"import traceback from .conf import all_loggers from .formatter import Formatter\",\n \"directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error,\",\n \"Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int,\",\n \"if self._alarming is True and self._with_error is True: self.root.email.alarm() pass\",\n \"'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages\",\n \"argument is used to set logging file extension. smtp :\",\n \"rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs):\",\n \"in `Logger` write methods as `rectype` argument. Values are used\",\n \".formatter import Formatter from .header import Header from .output import\",\n \": int Number of errors that logger catched in the\",\n \"version # Build the output root if it is not\",\n \"set record template. info : bool, optional The argument is\",\n \"not None: if isinstance(format, str) is True: err_name = err_type.__name__\",\n \"execution. The default is 1. maxerrors : int or bool,\",\n \"# Some logger important attributes self._start_date = dt.datetime.now() self.rectypes =\",\n \"in current traceback exists then method will format the exception\",\n \"must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None):\",\n \"= {'record': format} if hasattr(self, 'formatter') is False: format =\",\n \"critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to\",\n \"used for additional forms (variables) for record and message formatting.\",\n \"the application. self.app = None self.desc = None self.version =\",\n \"directory is not None: path['dir'] = directory if filename is\",\n \"self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note\",\n \"modify # existing output if it is requested. if hasattr(self,\",\n \"alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send\",\n \"tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line\",\n \"to filter debug records. The default is False. warning :\",\n \"write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters ---------- record\",\n \"an error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The\",\n \"this dictinary. message : str The message that must be\",\n \"pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the\",\n \"records. The default is True. error : bool, optional The\",\n \"# Break execution in case of critical error if permitted.\",\n \"pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send\",\n \"Useful when need to separate different blocks of information. Parameters\",\n \"not None: path['name'] = filename if extension is not None:\",\n \"if you wish to modify `rectype` form then edit appropriate\",\n \"the `app` attribute. desc : str, optional The argument is\",\n \"of this messages just edit the value of appropriate item.\",\n \"configure DB connection. format : str, optional The argument is\",\n \"in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line =\",\n \"# Output shortcuts. self.console = self.root.console self.file = self.root.file self.email\",\n \"Through the `Dataset` object data can be easily accessed by\",\n \"used to enable or disable alarming mechanism. control : bool,\",\n \"The argument is used to open or close output `html`.\",\n \"int The flag shows that logger catched errors in the\",\n \"self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property\",\n \"isinstance(value, bool) is True: self.filters[key] = value # Customize limits\",\n \"be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string =\",\n \"is True: self.root.table.configure(**db) # Create formatter in case it is\",\n \"True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming\",\n \"dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db,\",\n \"= 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def\",\n \"str, optional The type of error according to `rectypes` dictionary.\",\n \"table : bool, optional The argument is used to open\",\n \"Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status\",\n \"be either string or dictionary. # When it is string\",\n \"define the break error level. maxerrors : int or bool,\",\n \"it can contaion any parameter of formatter # that must\",\n \"name # Attributes describing the application. self.app = None self.desc\",\n \"Parameters ---------- name : str, optional The argument is used\",\n \"'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete\",\n \"filter critical records. alarming : bool, optional The argument is\",\n \"format : str, optional The argument is used to set\",\n \"| +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+\",\n \"output. Parameters ---------- record : Record The argument is used\",\n \"name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging\",\n \"file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format,\",\n \"err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file =\",\n \"message = message or '' self.record(rectype, message, **kwargs) # Break\",\n \"records. debug : bool, optional The argument is used to\",\n \"= {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error':\",\n \"connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter\",\n \"means that new output file will be opened at each\",\n \"to define maximun number of errors. The default is False\",\n \"hasattr(self, 'filters') is False: self.filters = {} for key, value\",\n \"configuration like record template, error message template, line length etc.\",\n \"items and commands that together gives funcionality for advanced logging\",\n \"# Add creating logger to special all_loggers dictinary. all_loggers[self._name] =\",\n \"The argument is used to describe the error level. **kwargs\",\n \": pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML\",\n \"error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method\",\n \"message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info'\",\n \"str) is True: self.app = app if isinstance(desc, str) is\",\n \"that we are logging. desc : str Description of the\",\n \"exception will be just printed in original Python style. Also\",\n \"used to define maximun number of errors. The default is\",\n \"Parse the error. err_type, err_value, err_tb = sys.exc_info() if message\",\n \"maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors =\",\n \"to filter warning records. error : bool, optional The argument\",\n \"catched errors in the application during its execution. count_errors :\",\n \"self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self,\",\n \"logger. app : str Name of the application that we\",\n \"must describe records format. # When it is dictionary it\",\n \"bool, optional The argument is used to filter info records.\",\n \"html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for\",\n \"= Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create\",\n \"behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize =\",\n \"to filter critical records. The default is True. alarming :\",\n \"name. Parameters ---------- name : str, optional The argument is\",\n \"The message that must be written instead of exception. rectype\",\n \"database table, HTML document - and using information from diffrent\",\n \": int or bool, optional The argument is used to\",\n \"'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical':\",\n \"traceback from .conf import all_loggers from .formatter import Formatter from\",\n \"write records. Parameters ---------- rectype : str By default method\",\n \"restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now()\",\n \"dictionary. # When it is string then it must describe\",\n \"int, optional The number of the blank lines that must\",\n \"\\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check\",\n \"to catch when current file must be closed and new\",\n \"table}.items(): if value is True: getattr(self.root, key).open() if key ==\",\n \"= self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging.\",\n \"str, optional Symbol that is used to bulid the bound.\",\n \"all of that to `Dataset` object. Through the `Dataset` object\",\n \"bool, optional The argument is used to define maximun number\",\n \"you wish to modify the text of this messages just\",\n \"`Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter\",\n \"by calling `getlogger()` method with no name. Parameters ---------- name\",\n \"is used to open or close output `html`. table :\",\n \"The argument is used to filter critical records. alarming :\",\n \"version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None,\",\n \"if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel\",\n \"def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters\",\n \"the date when logger must be restarted according to maxdays\",\n \"= 2). All that higher the break level will interrupt\",\n \"systems descriptors. Each logger must have an unique name which\",\n \"optional The message that must be written instead of exception.\",\n \"|error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages :\",\n \"\\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info' message =\",\n \"values in table. Note that DB connection must be configured.\",\n \"__calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be restarted according\",\n \"enable or disable execution break in case on error. The\",\n \"bool, optional The argument is used to open or close\",\n \"isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if\",\n \"logging. desc : str Description of the application that we\",\n \"isinstance(version, (str, int, float)) is True: self.version = version #\",\n \"= alarming if isinstance(control, bool) is True: self._control = control\",\n \"must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def\",\n \"value # Customize limits and parameters of execution behaviour. if\",\n \"used to send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats()\",\n \"as for creatrion. Parameters ---------- app : str, optional The\",\n \"define maximum number of days that will be logged to\",\n \"by get item operation or by point like `sysinfo.desc['hostname']` or\",\n \"If exception in current traceback exists then method will format\",\n \"of information. Parameters ---------- div : str, optional Symbol that\",\n \"__str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property\",\n \"in the instance attribute rectypes. If you wish to use\",\n \"# Customize limits and parameters of execution behaviour. if isinstance(maxsize,\",\n \"pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__\",\n \"record types are stored in the instance attribute rectypes. If\",\n \"str Description of the application that we are logging. version\",\n \"self._maxerrors: sys.exit() # Send alarm if execution was not aborted\",\n \"= 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error',\",\n \"optional The argument is used to set record template. info\",\n \"the exception will be just printed in original Python style.\",\n \"will interrupt application execution. The default is 1. maxerrors :\",\n \"messages just edit the value of appropriate item. with_errors :\",\n \"# When it is string then it must describe records\",\n \"formatter which sets all formatting configuration like record template, error\",\n \"err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line,\",\n \"\\\"\\\"\\\"Send ERROR record to the output. If exception in current\",\n \"\\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\"\",\n \"for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename)\",\n \"same as for creatrion. Parameters ---------- app : str, optional\",\n \"be logged to same file. maxlevel : int or bool,\",\n \"same file. The default is 1 which means that new\",\n \"format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays,\",\n \"> self._maxerrors: sys.exit() # Send alarm if execution was not\",\n \"|critical |CRITICAL | +---------+---------+ messages : dict Messages that are\",\n \"exception in current traceback exists then method will format the\",\n \"optional The argument is used to enable or disable alarming\",\n \"---------- app : str, optional The argument is used to\",\n \"When it is string then it must describe records format.\",\n \"DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self):\",\n \".record import Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This\",\n \"it is configured. if self._control is True: if level >=\",\n \"False: if self.root.file.size is not None: if self.root.file.size > self._maxsize:\",\n \"customize record type filters. if hasattr(self, 'filters') is False: self.filters\",\n \"**kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype,\",\n \"message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype =\",\n \"any parameter of formatter # that must be customized. if\",\n \"Mb. maxdays : int or bool, optional The argument is\",\n \"DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message,\",\n \"self._with_error = False self._count_errors = 0 # Complete the initial\",\n \"INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success']\",\n \"wish to modify the text of this messages just edit\",\n \"is used to set logging file name. extension : str,\",\n \"is used te define `name` attribute app : str, optional\",\n \"+= ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or\",\n \"alarming if isinstance(control, bool) is True: self._control = control #\",\n \"elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize\",\n \"logger. self._name = name # Attributes describing the application. self.app\",\n \"be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about\",\n \"(int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming,\",\n \"set logging file name. extension : str, optional The argument\",\n \"like `ok()`, `success()`, `fail()`. If you wish to modify the\",\n \"'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send\",\n \"return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self):\",\n \"to define the break error level. maxerrors : int or\",\n \"self._count_errors += 1 format = self.formatter.error if format is None\",\n \"that logger catched errors in the application during its execution.\",\n \"| +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+\",\n \"**kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record\",\n \"not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path)\",\n \"is False else format self.formatter = Formatter(**format) elif isinstance(format, dict)\",\n \"sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False:\",\n \"self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False:\",\n \"class Logger(): \\\"\\\"\\\"This class represents a single logger. Logger by\",\n \"value in {'console': console, 'file': file, 'email': email, 'html': html,\",\n \"records. alarming : bool, optional The argument is used to\",\n \"dt import os import platform import pypyrus_logbook as logbook import\",\n \"filter record type just set corresponding item value to False.\",\n \"to filter debug records. warning : bool, optional The argument\",\n \"self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to\",\n \"for this certain call. level : int The argument is\",\n \"elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message\",\n \"div : str, optional Symbol that is used to bulid\",\n \"if isinstance(format, str) is True: format = {'record': format} if\",\n \": pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email :\",\n \"int Number of errors that logger catched in the application\",\n \"table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key,\",\n \"level will interrupt application execution. The default is 1. maxerrors\",\n \"def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\"\",\n \"path['name'] = filename if extension is not None: path['ext'] =\",\n \"return if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day:\",\n \"`Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`.\",\n \"is not None: path['ext'] = extension if len(path) > 0:\",\n \"record types then just add it to that dictinary. By\",\n \"error records. The default is True. critical : bool, optional\",\n \"= 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def\",\n \"with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype, message,\",\n \"which means it is disabled. Attributes ---------- name : str\",\n \"isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date()\",\n \": str, optional The argument is used te define `name`\",\n \"in formatting. So if you wish to modify `rectype` form\",\n \"| Key | Value | +=========+=========+ |none |NONE | +---------+---------+\",\n \"True: format = {'record': format} if hasattr(self, 'formatter') is False:\",\n \"self.app = None self.desc = None self.version = None #\",\n \"'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error\",\n \"maximum size of output file. maxdays : int or bool,\",\n \"if isinstance(value, bool) is True: self.filters[key] = value # Customize\",\n \"self.html = self.root.html self.table = self.root.table # Set exit function.\",\n \"class represents a single logger. Logger by it self is\",\n \"of methods, items and commands that together gives funcionality for\",\n \"used to filter warning records. error : bool, optional The\",\n \"used to define the break error level. maxerrors : int\",\n \"string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw\",\n \"disabled. Attributes ---------- name : str Name of the logger.\",\n \"must be closed and new one must be opened. \\\"\\\"\\\"\",\n \"bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float,\",\n \"'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key]\",\n \"inputs includeing system specifications, flag arguments, execution parameters, user parameters\",\n \"to filter critical records. alarming : bool, optional The argument\",\n \"pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to\",\n \"# Set exit function. atexit.register(self._exit) # Add creating logger to\",\n \"The argument is used to set logging file folder. filename\",\n \"True: self.filters[key] = value # Customize limits and parameters of\",\n \"user messages, traceback, frames, user parameters, execution arguments and systems\",\n \"object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger\",\n \"enable or disable the alarming mechanism for this certain call.\",\n \"lines to the output. Parameters ---------- string : str The\",\n \"case of critical error if permitted. # The alarm will\",\n \"set the `version` attribute. status : bool, optional The argument\",\n \"Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO |\",\n \"critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\"\",\n \"Also method will send an alarm if alarming attribute is\",\n \"that will be logged to same file. The default is\",\n \"file. It can be accessed by native logbook methods or\",\n \"text with the new line to the output. Parameters ----------\",\n \"records. The default is True. alarming : bool, optional The\",\n \"parameter to `True`. **kwargs The keyword arguments used for additional\",\n \"output. Parameters ---------- number : int, optional The number of\",\n \"dictinary. message : str The message that must be written.\",\n \"for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all\",\n \"= '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message\",\n \"of output file. Must be presented as number of bytes.\",\n \"> 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict)\",\n \"you wish to modify `rectype` form then edit appropriate one\",\n \"\\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is not False:\",\n \"then just add it to that dictinary. By default we\",\n \"if permitted. # The alarm will be generated at exit\",\n \"types. Keys are used in `Logger` write methods as `rectype`\",\n \"formatter # that must be customized. if isinstance(format, str) is\",\n \"OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs)\",\n \"argument is used to filter error records. The default is\",\n \"db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None,\",\n \"are stored in the instance attribute rectypes. If you wish\",\n \"email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root,\",\n \"name : str, optional The argument is used te define\",\n \"pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be\",\n \"bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful\",\n \"alarming attribute is `True`, email output is enabled and SMTP\",\n \"with the new line to the output. Parameters ---------- message\",\n \"message is None and err_type is not None: if isinstance(format,\",\n \"will be just printed in original Python style. Also method\",\n \"key).new() elif value is False: getattr(self.root, key).close() # Customize output\",\n \"float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel,\",\n \"rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL\",\n \"@property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors\",\n \"def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype\",\n \"return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date\",\n \"def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self):\",\n \"methods as `rectype` argument. Values are used in formatting. So\",\n \": bool, optional The argument is used to enable or\",\n \"used to describe the error level. **kwargs The keyword arguments\",\n \".conf import all_loggers from .formatter import Formatter from .header import\",\n \"key, value in {'console': console, 'file': file, 'email': email, 'html':\",\n \"pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to\",\n \"It can be accessed by native logbook methods or by\",\n \"message): \\\"\\\"\\\"Send raw text with the new line to the\",\n \"error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass\",\n \"that to `Dataset` object. Through the `Dataset` object data can\",\n \"according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays))\",\n \"self._maxsize is not False: if self.root.file.size is not None: if\",\n \"'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS',\",\n \"|WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL |\",\n \"of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None,\",\n \"Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to the output.\",\n \"formatting. So if you wish to modify `rectype` form then\",\n \"as number of bytes. The default is 10 Mb. maxdays\",\n \"INFO message with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok']\",\n \"format = self.formatter.error if format is None else format #\",\n \"dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is\",\n \": str, optional The argument is used to set logging\",\n \"used to filter info records. The default is True. debug\",\n \"attribute. desc : str, optional The argument is used to\",\n \"filter error records. critical : bool, optional The argument is\",\n \"filter warning records. error : bool, optional The argument is\",\n \"error level (WARNING = 0, ERRROR = 1, CRITICAL =\",\n \"True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is\",\n \"function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary.\",\n \"alarm if execution was not aborted but alarm is needed.\",\n \"connection. db : dict, optional The argument is used to\",\n \"\\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0,\",\n \"warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): #\",\n \"represents a single logger. Logger by it self is a\",\n \"is True: self._alarming = alarming if isinstance(control, bool) is True:\",\n \"isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if\",\n \"subheader as upper-case text between two border lines to the\",\n \"filename if extension is not None: path['ext'] = extension if\",\n \"file statistics to catch when current file must be closed\",\n \"written instead of exception. rectype : str, optional The type\",\n \"mechanism. The default is True. control : bool, optional The\",\n \"Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut\",\n \"written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal\",\n \"The argument is used to open or close output `file`.\",\n \"True self._count_errors += 1 format = self.formatter.error if format is\",\n \"break error level (WARNING = 0, ERRROR = 1, CRITICAL\",\n \"is False: self.sysinfo = Sysinfo(self) # Initialize header instance when\",\n \"= maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming\",\n \"shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email\",\n \"\\\"\\\"\\\"Send raw text with the new line to the output.\",\n \"self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message\",\n \": int The argument is used to describe the error\",\n \"is used to enable or disable alarming mechanism. The default\",\n \"if it is requested. if hasattr(self, 'root') is False: self.root\",\n \"`Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output\",\n \"argument is used to define maximum number of days that\",\n \"'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value,\",\n \"configure the logger and all its attributes. This is an\",\n \"string = self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader\",\n \"just printed in original Python style. Also method will send\",\n \"(int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays,\",\n \"`Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut\",\n \"records. critical : bool, optional The argument is used to\",\n \"or bool, optional The argument is used to define maximun\",\n \"argument is used to enable or disable alarming mechanism. The\",\n \"aborted but alarm is needed. if alarming is True: self.root.email.alarm()\",\n \"the `desc` attribute. version : str, optional The argument is\",\n \"then set that parameter to `True`. **kwargs The keyword arguments\",\n \"\\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in\",\n \"to set logging file extension. smtp : dict, optional The\",\n \"number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None,\",\n \"the instance attribute rectypes. If you wish to use own\",\n \"of the application that we are logging. version : str\",\n \"the application during its execution. count_errors : int Number of\",\n \"The default is True. alarming : bool, optional The argument\",\n \"or disable alarming mechanism. control : bool, optional The argument\",\n \"= tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj =\",\n \"The default is False which means it is disabled. Attributes\",\n \"is used to open or close output `email`. html :\",\n \"import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single logger.\",\n \"be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date\",\n \"All that higher the break level will interrupt application execution.\",\n \"use own record types then just add it to that\",\n \"presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper()\",\n \"True) is True: record = Record(self, rectype, message, error=error, **kwargs)\",\n \"output. Useful when need to separate different blocks of information.\",\n \"= False self._count_errors = 0 # Complete the initial configuration.\",\n \"current file must be closed and new one must be\",\n \"wish to modify `rectype` form then edit appropriate one here.\",\n \"pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record\",\n \": str, optional The message that must be written instead\",\n \"formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration\",\n \"the break level will interrupt application execution. The default is\",\n \"of the logger. app : str Name of the application\",\n \"the break error level (WARNING = 0, ERRROR = 1,\",\n \"False which means it is disabled. Attributes ---------- name :\",\n \"which parse different inputs includeing system specifications, flag arguments, execution\",\n \"**kwargs): \\\"\\\"\\\"Send ERROR record to the output. If exception in\",\n \"or disable execution break in case on error. The default\",\n \"format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format)\",\n \"alarming : bool, optional The argument is used to enable\",\n \"is None else format # Parse the error. err_type, err_value,\",\n \"- and using information from diffrent inputs: user messages, traceback,\",\n \"Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) #\",\n \"This is an only one right way to customize logger.\",\n \"\\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message,\",\n \"of the limit triggers worked then application will be aborted.\",\n \"argument is used to filter critical records. alarming : bool,\",\n \"existing output if it is requested. if hasattr(self, 'root') is\",\n \"to enable or disable the alarming mechanism for this certain\",\n \"= self.root.table # Set exit function. atexit.register(self._exit) # Add creating\",\n \"getattr(self.root, key).close() # Customize output file path. path = {}\",\n \"argument is used to filter critical records. The default is\",\n \"number of errors. The default is False which means it\",\n \"dict, optional The argument is used to configure SMTP connection.\",\n \"point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header\",\n \"generated at exit if it is configured. if self._control is\",\n \"alarming mechanism for this certain call. level : int The\",\n \"changed but depends on available record types. All registered record\",\n \"be logged to same file. The default is 1 which\",\n \"atexit import datetime as dt import os import platform import\",\n \"console : bool, optional The argument is used to open\",\n \"argument is used to set logging file name. extension :\",\n \"the output root if it is not exists. In other\",\n \"if self._control is True: if level >= self._maxlevel: sys.exit() if\",\n \"control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the\",\n \"the output. Parameters ---------- number : int, optional The number\",\n \"used to open or close output `html`. table : bool,\",\n \"smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None,\",\n \"that parameter to `True`. **kwargs The keyword arguments used for\",\n \"is used to open or close output `console`. file :\",\n \"argument is used to set record template. info : bool,\",\n \"**kwargs The keyword arguments used for additional forms (variables) for\",\n \"output `root`. console : bool, optional The argument is used\",\n \": pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing\",\n \"str The text that will be presented as subheader. \\\"\\\"\\\"\",\n \"Description of the application that we are logging. version :\",\n \"isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value\",\n \"self._alarming is True and self._with_error is True: self.root.email.alarm() pass def\",\n \"error. maxsize : int or bool, optional The argument is\",\n \"or by calling `getlogger()` method with no name. Parameters ----------\",\n \"then it must describe records format. # When it is\",\n \"def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP\",\n \"filter critical records. The default is True. alarming : bool,\",\n \"optional The argument is used to set logging file folder.\",\n \"means it is disabled. Attributes ---------- name : str Name\",\n \"depends on available record types. All registered record types are\",\n \"that dictinary. By default we provide the next few record\",\n \"of days that will be logged to same file. The\",\n \"file. maxdays : int or bool, optional The argument is\",\n \"__check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch when current\",\n \"is used to describe the error level. **kwargs The keyword\",\n \"error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype\",\n \"# Unique name of the logger. self._name = name #\",\n \"is used to bulid the bound. length : int, optional\",\n \"file : bool, optional The argument is used to open\",\n \"directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None,\",\n \"must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform\",\n \"The message that must be written. error : bool, optional\",\n \"get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`.\",\n \"blank lines in the output. Parameters ---------- number : int,\",\n \"write methods as `rectype` argument. Values are used in formatting.\",\n \"self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True:\",\n \"self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open\",\n \"**kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server connection must\",\n \"**kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype :\",\n \"single logger. Logger by it self is a complex set\",\n \"parameters and environment variables and transforms all of that to\",\n \"The argument is used te define `name` attribute app :\",\n \"to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self):\",\n \"self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank\",\n \"maxlevel=2, maxerrors=False): # Unique name of the logger. self._name =\",\n \"are logging. version : str Version of the application that\",\n \"status : bool, optional The argument is used to open\",\n \"call. level : int The argument is used to describe\",\n \"If you wish to use own record type or change\",\n \"the break error level. maxerrors : int or bool, optional\",\n \"info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if\",\n \"lines in the output. Parameters ---------- number : int, optional\",\n \"email, database table, HTML document - and using information from\",\n \"not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm\",\n \": dict, optional The argument is used to configure SMTP\",\n \"registered record types are stored in the instance attribute rectypes.\",\n \"str, optional The argument is used to set record template.\",\n \"system specifications, flag arguments, execution parameters, user parameters and environment\",\n \"self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message\",\n \"If you wish to modify the text of this messages\",\n \"{} if directory is not None: path['dir'] = directory if\",\n \"item. with_errors : int The flag shows that logger catched\",\n \"The argument is used to filter error records. critical :\",\n \"not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self)\",\n \"to describe the error level. **kwargs The keyword arguments used\",\n \"self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was\",\n \"to configure DB connection. format : str, optional The argument\",\n \"error. err_type, err_value, err_tb = sys.exc_info() if message is None\",\n \"is used to define maximum number of days that will\",\n \"creates the record with the type NONE. That can be\",\n \"hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email,\",\n \"it is requested. if hasattr(self, 'root') is False: self.root =\",\n \"disable alarming mechanism. The default is True. control : bool,\",\n \"execution parameters, user parameters and environment variables and transforms all\",\n \"None: path['name'] = filename if extension is not None: path['ext']\",\n \"| +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+\",\n \"False: getattr(self.root, key).close() # Customize output file path. path =\",\n \"= control # Initialize sysinfo instance when not exists. if\",\n \"bulid the bound. length : int, optional Lenght of the\",\n \"'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self):\",\n \"error records. critical : bool, optional The argument is used\",\n \"is used to set logging file folder. filename : str,\",\n \"{} for key, value in {'info': info, 'debug': debug, 'error':\",\n \"`True`. **kwargs The keyword arguments used for additional forms (variables)\",\n \"or customize record type filters. if hasattr(self, 'filters') is False:\",\n \"The argument is used to define the break error level.\",\n \"when current file must be closed and new one must\",\n \"for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for\",\n \"optional The argument is used to filter info records. The\",\n \"used te define `name` attribute app : str, optional The\",\n \"date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was\",\n \"control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the\",\n \"def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype =\",\n \"isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if\",\n \"warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\"\",\n \"the application that we are logging. desc : str Description\",\n \"not False: if self.root.file.size is not None: if self.root.file.size >\",\n \"self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) #\",\n \"to set logging file name. extension : str, optional The\",\n \"+---------+---------+ | Key | Value | +=========+=========+ |none |NONE |\",\n \"error. The default is True. maxsize : int or bool,\",\n \"if isinstance(format, str) is True: err_name = err_type.__name__ err_value =\",\n \"\\\"\\\"\\\" self._with_error = True self._count_errors += 1 format = self.formatter.error\",\n \"be closed and new one must be opened. \\\"\\\"\\\" if\",\n \"one then edit this dictinary. message : str The message\",\n \"for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`.\",\n \"isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record\",\n \"str The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass\",\n \"self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in\",\n \"is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new()\",\n \"bool, optional The argument is used to define maximum number\",\n \"type or change the presentaion of exeisting one then edit\",\n \"is used to filter critical records. The default is True.\",\n \"name as a python script file. It can be accessed\",\n \"record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True:\",\n \"records format. # When it is dictionary it can contaion\",\n \"**kwargs) # Break execution in case of critical error if\",\n \"to open or close output `console`. file : bool, optional\",\n \"is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record)\",\n \"configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None,\",\n \"**kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info' message\",\n \"the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email,\",\n \"---------- string : str The text that will be presented\",\n \"either string or dictionary. # When it is string then\",\n \"method will format the exception according to `formatter.error` string presentation.\",\n \"is configured. if self._control is True: if level >= self._maxlevel:\",\n \"errors in the application during its execution. count_errors : int\",\n \"is used to filter info records. The default is True.\",\n \"to enable or disable execution break in case on error.\",\n \"'file': file, 'email': email, 'html': html, 'table': table}.items(): if value\",\n \"path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize\",\n \"unique name which will help to identify it. Main application\",\n \"change the presentaion of exeisting one then edit this dictinary.\",\n \"*args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server connection\",\n \"to `Dataset` object. Through the `Dataset` object data can be\",\n \"self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None,\",\n \"output is enabled and SMTP server is configurated. If one\",\n \"Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets\",\n \"int, optional Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div\",\n \"will be generated at exit if it is configured. if\",\n \"it must describe records format. # When it is dictionary\",\n \"mechanism for this certain call. level : int The argument\",\n \"self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text\",\n \"Parameters ---------- message : str, optional The message that must\",\n \"smtp : dict, optional The argument is used to configure\",\n \"isinstance(format, str) is True: format = {'record': format} if hasattr(self,\",\n \"= version # Build the output root if it is\",\n \"critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts.\",\n \"used to define maximum number of days that will be\",\n \"some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish\",\n \"output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs):\",\n \"True: self.root.file.new() if self.header.used is True: self.head() pass def send(self,\",\n \"The default is 1 which means that new output file\",\n \"WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs)\",\n \"key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root,\",\n \"_exit(self): # Inform about the error. if self._alarming is True\",\n \"**kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\"\",\n \"status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value\",\n \"error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number\",\n \"def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property\",\n \"If one of the limit triggers worked then application will\",\n \"optional The format of the error message. alarming : bool\",\n \"maxlevel : int or bool, optional The argument is used\",\n \"if it is configured. if self._control is True: if level\",\n \"\\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message =\",\n \"file name. extension : str, optional The argument is used\",\n \"object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for\",\n \"**kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message\",\n \"info : bool, optional The argument is used to filter\",\n \"maximum number of days that will be logged to same\",\n \"is used to send it to the output `root`. \\\"\\\"\\\"\",\n \"error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass\",\n \"if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors\",\n \"f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique\",\n \"message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new\",\n \"not exists. In other case modify # existing output if\",\n \"self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send\",\n \"is True: self.filters[key] = value # Customize limits and parameters\",\n \"stored in the instance attribute rectypes. If you wish to\",\n \"control : bool, optional The argument is used to enable\",\n \"optional The argument is used to filter critical records. alarming\",\n \"to `True`. **kwargs The keyword arguments used for additional forms\",\n \"filter error records. The default is True. critical : bool,\",\n \"types are stored in the instance attribute rectypes. If you\",\n \"datetime as dt import os import platform import pypyrus_logbook as\",\n \"edit the value of appropriate item. with_errors : int The\",\n \"of output file. maxdays : int or bool, optional The\",\n \"sys import time import traceback from .conf import all_loggers from\",\n \"break error level. maxerrors : int or bool, optional The\",\n \"If record is error then set that parameter to `True`.\",\n \"used to set the `app` attribute. desc : str, optional\",\n \"int, float)) is True: self.version = version # Build the\",\n \"messages : dict Messages that are printed with some `Logger`\",\n \"CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs)\",\n \"other case modify # existing output if it is requested.\",\n \"logger catched in the application during its execution. filters :\",\n \"(variables) for record and message formatting. \\\"\\\"\\\" self._with_error = True\",\n \"of the application that we are logging. start_date : datetime.datetime\",\n \"logger catched errors in the application during its execution. count_errors\",\n \"important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info':\",\n \"same file. maxlevel : int or bool, optional The argument\",\n \"The argument is used to set the `app` attribute. desc\",\n \"extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console,\",\n \"filters. To filter record type just set corresponding item value\",\n \"is used to define maximum size of output file. maxdays\",\n \"hasattr(self, 'header') is False: self.header = Header(self) pass def write(self,\",\n \"then edit appropriate one here. If you wish to use\",\n \"one here. If you wish to use own record types\",\n \"header instance when not exists. if hasattr(self, 'header') is False:\",\n \"of the error message. alarming : bool The argument is\",\n \"= traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message += ''.join(exception)\",\n \"|ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict\",\n \"self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1):\",\n \"send an alarm if alarming attribute is `True`, email output\",\n \"= self.formatter.error if format is None else format # Parse\",\n \"self.filters = {} for key, value in {'info': info, 'debug':\",\n \"self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug':\",\n \": str The text that will be presented as subheader.\",\n \"True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger\",\n \"be opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is\",\n \"the bound. length : int, optional Lenght of the bound.\",\n \"in the output. Parameters ---------- number : int, optional The\",\n \"None: path['dir'] = directory if filename is not None: path['name']\",\n \"optional The argument is used te define `name` attribute app\",\n \"def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the\",\n \"parameter of formatter # that must be customized. if isinstance(format,\",\n \"os import platform import pypyrus_logbook as logbook import sys import\",\n \"self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text with the\",\n \"new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True:\",\n \"f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs)\",\n \"original Python style. Also method will send an alarm if\",\n \"email message. Note that SMTP server connection must be configured.\",\n \"The default is True. debug : bool, optional The argument\",\n \"optional If record is error then set that parameter to\",\n \"The default is True. control : bool, optional The argument\",\n \"tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name\",\n \"to enable or disable alarming mechanism. The default is True.\",\n \"console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db,\",\n \": str Name of the logger. app : str Name\",\n \"logging file extension. smtp : dict, optional The argument is\",\n \"int The argument is used to describe the error level.\",\n \"10 Mb. maxdays : int or bool, optional The argument\",\n \"in the application during its execution. count_errors : int Number\",\n \"err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception\",\n \"dictionary it can contaion any parameter of formatter # that\",\n \"value of appropriate item. with_errors : int The flag shows\",\n \"\\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error.\",\n \"bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float,\",\n \"argument is used to set the `app` attribute. desc :\",\n \"of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True:\",\n \"close output `table`. directory : str, optional The argument is\",\n \"in {'console': console, 'file': file, 'email': email, 'html': html, 'table':\",\n \"enable or disable alarming mechanism. control : bool, optional The\",\n \"logger will have the same name as a python script\",\n \"|debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR\",\n \"Attributes ---------- name : str Name of the logger. app\",\n \"attribute is `True`, email output is enabled and SMTP server\",\n \"is used to open or close output `root`. console :\",\n \"file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email\",\n \"html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None,\",\n \"string presentation. If `formatter.error` is set to `False` the exception\",\n \"str, optional The message that must be written instead of\",\n \"Logger by it self is a complex set of methods,\",\n \"# Create formatter in case it is not exists yet\",\n \"enable or disable execution break in case on error. maxsize\",\n \"rectype : str By default method creates the record with\",\n \"Messages that are printed with some `Logger` methods like `ok()`,\",\n \"messages, traceback, frames, user parameters, execution arguments and systems descriptors.\",\n \"filter info records. The default is True. debug : bool,\",\n \"if directory is not None: path['dir'] = directory if filename\",\n \"alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output. If\",\n \"datetime.datetime Date when logging was started. rectypes : dict All\",\n \"default is True. alarming : bool, optional The argument is\",\n \"= self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit)\",\n \"The default is True. maxsize : int or bool, optional\",\n \"`formatter.error` string presentation. If `formatter.error` is set to `False` the\",\n \"self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO\",\n \"must be written instead of exception. rectype : str, optional\",\n \"argument is used to define maximun number of errors. \\\"\\\"\\\"\",\n \"to set the `app` attribute. desc : str, optional The\",\n \"available record types. Keys are used in `Logger` write methods\",\n \"self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass\",\n \"that we are logging. version : str Version of the\",\n \"text between two border lines to the output. Parameters ----------\",\n \"traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype,\",\n \"edit appropriate one here. If you wish to use own\",\n \"type filters. if hasattr(self, 'filters') is False: self.filters = {}\",\n \"SMTP connection. db : dict, optional The argument is used\",\n \"open or close output `console`. file : bool, optional The\",\n \"as dt import os import platform import pypyrus_logbook as logbook\",\n \"level (WARNING = 0, ERRROR = 1, CRITICAL = 2).\",\n \"if isinstance(desc, str) is True: self.desc = desc if isinstance(version,\",\n \"number of the blank lines that must be written. \\\"\\\"\\\"\",\n \"Unique name of the logger. self._name = name # Attributes\",\n \"as a python script file. It can be accessed by\",\n \"disable execution break in case on error. The default is\",\n \": dict Messages that are printed with some `Logger` methods\",\n \"dict Messages that are printed with some `Logger` methods like\",\n \"is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool))\",\n \"bool, optional The argument is used to filter debug records.\",\n \"warning : bool, optional The argument is used to filter\",\n \"The argument is used to filter error records. The default\",\n \"str By default method creates the record with the type\",\n \"None and err_type is not None: if isinstance(format, str) is\",\n \"INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs)\",\n \"is False: self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct\",\n \"length : int, optional Lenght of the bound. \\\"\\\"\\\" border\",\n \"maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and all its\",\n \"message, **kwargs) else: message = message or '' self.record(rectype, message,\",\n \"return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was an\",\n \"record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass\",\n \"in case of critical error if permitted. # The alarm\",\n \": bool, optional The argument is used to filter info\",\n \": bool, optional The argument is used to filter warning\",\n \"parse different inputs includeing system specifications, flag arguments, execution parameters,\",\n \"specifications, flag arguments, execution parameters, user parameters and environment variables\",\n \"that is used to bulid the bound. length : int,\",\n \"Number of errors that logger catched in the application during\",\n \"if isinstance(app, str) is True: self.app = app if isinstance(desc,\",\n \"maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file =\",\n \"The number of the blank lines that must be written.\",\n \"int or bool, optional The argument is used to define\",\n \"debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors)\",\n \"format is None else format # Parse the error. err_type,\",\n \"logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if\",\n \"'table': table}.items(): if value is True: getattr(self.root, key).open() if key\",\n \"that new output file will be opened at each 00:00:00.\",\n \"self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif\",\n \"= 0, ERRROR = 1, CRITICAL = 2). All that\",\n \"if hasattr(self, 'formatter') is False: format = {} if isinstance(format,\",\n \"argument is used to define maximun number of errors. The\",\n \"# existing output if it is requested. if hasattr(self, 'root')\",\n \"err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs)\",\n \"to `rectypes` dictionary. format : str, optional The format of\",\n \"accessed by get item operation or by point like `sysinfo.desc['hostname']`\",\n \"critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value #\",\n \"edit this dictinary. message : str The message that must\",\n \"parameters, user parameters and environment variables and transforms all of\",\n \"argument is used to open or close output `root`. console\",\n \"exeisting one then edit this dictinary. message : str The\",\n \"be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write\",\n \"dict) is True: self.root.table.configure(**db) # Create formatter in case it\",\n \"output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter\",\n \"isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif\",\n \"with the type NONE. That can be changed but depends\",\n \"| +---------+---------+ messages : dict Messages that are printed with\",\n \"= self.root.email self.html = self.root.html self.table = self.root.table # Set\",\n \"the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border +\",\n \"self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will\",\n \"= self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as\",\n \"logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\"\",\n \"or just customize it. # Parameter format can be either\",\n \"1, CRITICAL = 2). All that higher the break level\",\n \"message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ----------\",\n \"to `formatter.error` string presentation. If `formatter.error` is set to `False`\",\n \"self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO\",\n \"not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays\",\n \"in the application during its execution. filters : dict Record\",\n \"+---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error\",\n \"directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True,\",\n \"HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table.\",\n \"open or close output `root`. console : bool, optional The\",\n \"\\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None,\",\n \"we are logging. start_date : datetime.datetime Date when logging was\",\n \"type NONE. That can be changed but depends on available\",\n \"If `formatter.error` is set to `False` the exception will be\",\n \"if isinstance(control, bool) is True: self._control = control # Initialize\",\n \"`app` attribute. desc : str, optional The argument is used\",\n \"used to enable or disable the alarming mechanism for this\",\n \"+ '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in\",\n \"close output `html`. table : bool, optional The argument is\",\n \"name : str Name of the logger. app : str\",\n \"message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1 format\",\n \"configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the\",\n \": bool, optional The argument is used to filter error\",\n \"the logger and all its attributes. This is an only\",\n \"argument is used to filter error records. critical : bool,\",\n \"string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO\",\n \"isinstance(app, str) is True: self.app = app if isinstance(desc, str)\",\n \"accessed by native logbook methods or by calling `getlogger()` method\",\n \"output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self,\",\n \"'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'}\",\n \"output file path. path = {} if directory is not\",\n \"warning records. error : bool, optional The argument is used\",\n \"\\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype,\",\n \"import Header from .output import Root from .record import Record\",\n \"or close output `root`. console : bool, optional The argument\",\n \"False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is\",\n \"= 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def\",\n \"is 10 Mb. maxdays : int or bool, optional The\",\n \"logger to special all_loggers dictinary. all_loggers[self._name] = self pass def\",\n \"or close output `email`. html : bool, optional The argument\",\n \"the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send\",\n \"maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and\",\n \": pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file\",\n \"argument is used to configure SMTP connection. db : dict,\",\n \"to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass\",\n \"None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is\",\n \"record template, error message template, line length etc. sysinfo :\",\n \"if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays\",\n \"to open or close output `email`. html : bool, optional\",\n \"or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be\",\n \"\\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that\",\n \"the same name as a python script file. It can\",\n \"that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None,\",\n \"(str, int, float)) is True: self.version = version # Build\",\n \"import datetime as dt import os import platform import pypyrus_logbook\",\n \"and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool))\",\n \"argument is used to open or close output `email`. html\",\n \"def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None,\",\n \"used to filter error records. critical : bool, optional The\",\n \"to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self):\",\n \"if format is None else format # Parse the error.\",\n \"def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR\",\n \"format # Parse the error. err_type, err_value, err_tb = sys.exc_info()\",\n \"execution. count_errors : int Number of errors that logger catched\",\n \"= self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def blank(self,\",\n \"warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main\",\n \"the text of this messages just edit the value of\",\n \"The alarm will be generated at exit if it is\",\n \"message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message,\",\n \"output file. Must be presented as number of bytes. The\",\n \"in original Python style. Also method will send an alarm\",\n \"set that parameter to `True`. **kwargs The keyword arguments used\",\n \"the presentaion of exeisting one then edit this dictinary. message\",\n \"SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs)\",\n \"getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value\",\n \"= tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value,\",\n \"True: self.desc = desc if isinstance(version, (str, int, float)) is\",\n \"message that must be written. error : bool, optional If\",\n \"# Customize output file path. path = {} if directory\",\n \"`rectype` argument. Values are used in formatting. So if you\",\n \"customize logger. Parameters are the same as for creatrion. Parameters\",\n \"when not exists. if hasattr(self, 'header') is False: self.header =\",\n \"The output `Root` object. console : pypyrus_logbook.output.Console The output `Console`\",\n \"to False. root : pypyrus_logbook.output.Root The output `Root` object. console\",\n \"new one must be opened. \\\"\\\"\\\" if self.root.file.status is True:\",\n \"object. Through the `Dataset` object data can be easily accessed\",\n \"the blank lines that must be written. \\\"\\\"\\\" string =\",\n \"str) is True: err_name = err_type.__name__ err_value = err_value for\",\n \"of errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app =\",\n \"is not None: if isinstance(format, str) is True: err_name =\",\n \": str, optional The argument is used to set record\",\n \"number of errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app\",\n \"optional The argument is used to filter error records. The\",\n \"date when logger must be restarted according to maxdays parameter.\",\n \"self.root.file.status is True: if self._maxsize is not False: if self.root.file.size\",\n \"error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique\",\n \"te define `name` attribute app : str, optional The argument\",\n \"the output. Parameters ---------- string : str The text that\",\n \"is used to set the `version` attribute. status : bool,\",\n \"|INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING |\",\n \"app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None,\",\n \"number of bytes. The default is 10 Mb. maxdays :\",\n \">= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors\",\n \": str, optional The format of the error message. alarming\",\n \"is True: self.app = app if isinstance(desc, str) is True:\",\n \"corresponding item value to False. root : pypyrus_logbook.output.Root The output\",\n \"must be written. error : bool, optional If record is\",\n \"message. Note that SMTP server connection must be configured. \\\"\\\"\\\"\",\n \"but depends on available record types. All registered record types\",\n \"+---------+---------+ messages : dict Messages that are printed with some\",\n \"error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO\",\n \"self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG\",\n \"status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None,\",\n \"def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output.\",\n \"value in {'info': info, 'debug': debug, 'error': error, 'warning': warning,\",\n \"if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if\",\n \"be written instead of exception. rectype : str, optional The\",\n \"appropriate item. with_errors : int The flag shows that logger\",\n \"file. The default is 1 which means that new output\",\n \"maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file\",\n \"key).close() # Customize output file path. path = {} if\",\n \"all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger\",\n \"pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that\",\n \"maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays =\",\n \"maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and all\",\n \"sets all formatting configuration like record template, error message template,\",\n \"critical records. alarming : bool, optional The argument is used\",\n \"or bool, optional The argument is used to define the\",\n \".sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single\",\n \"info records. debug : bool, optional The argument is used\",\n \"\\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2,\",\n \"on error. The default is True. maxsize : int or\",\n \"define maximun number of errors. The default is False which\",\n \"was an error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self):\",\n \"or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of\",\n \"as upper-case text between two border lines to the output.\",\n \".header import Header from .output import Root from .record import\",\n \"str Name of the logger. app : str Name of\",\n \"if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not\",\n \"break in case on error. The default is True. maxsize\",\n \"Record The argument is used to send it to the\",\n \"console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None,\",\n \"elif value is False: getattr(self.root, key).close() # Customize output file\",\n \"time import traceback from .conf import all_loggers from .formatter import\",\n \"is True. alarming : bool, optional The argument is used\",\n \"of days that will be logged to same file. maxlevel\",\n \"output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send\",\n \"lines that must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string)\",\n \"and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1\",\n \"@property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def\",\n \"of critical error if permitted. # The alarm will be\",\n \"info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2,\",\n \"you wish to use own record types then just add\",\n \"error if permitted. # The alarm will be generated at\",\n \"`formatter.error` is set to `False` the exception will be just\",\n \"{'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items():\",\n \"started. rectypes : dict All available record types. Keys are\",\n \"days that will be logged to same file. The default\",\n \"style. Also method will send an alarm if alarming attribute\",\n \"for additional forms (variables) for record and message formatting. \\\"\\\"\\\"\",\n \"extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming,\",\n \"records. error : bool, optional The argument is used to\",\n \"of that to `Dataset` object. Through the `Dataset` object data\",\n \"console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if\",\n \"message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with\",\n \"user parameters and environment variables and transforms all of that\",\n \"application logger will have the same name as a python\",\n \"user parameters, execution arguments and systems descriptors. Each logger must\",\n \"is True. control : bool, optional The argument is used\",\n \"the application that we are logging. start_date : datetime.datetime Date\",\n \"html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table:\",\n \"logger. Logger by it self is a complex set of\",\n \"used in `Logger` write methods as `rectype` argument. Values are\",\n \"email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else:\",\n \"interrupt application execution. The default is 1. maxerrors : int\",\n \"self.version = None # Some logger important attributes self._start_date =\",\n \"was started. rectypes : dict All available record types. Keys\",\n \"warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] =\",\n \"`file`. email : bool, optional The argument is used to\",\n \"for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is\",\n \"it to that dictinary. By default we provide the next\",\n \"server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database\",\n \"(int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if\",\n \"is enabled and SMTP server is configurated. If one of\",\n \"own record type or change the presentaion of exeisting one\",\n \"used to open or close output `root`. console : bool,\",\n \"that logger catched in the application during its execution. filters\",\n \"few record types: +---------+---------+ | Key | Value | +=========+=========+\",\n \"and err_type is not None: if isinstance(format, str) is True:\",\n \"is used to open or close output `table`. directory :\",\n \"method to write records. Parameters ---------- rectype : str By\",\n \"level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error\",\n \"if key == 'file': getattr(self.root, key).new() elif value is False:\",\n \"optional The argument is used to filter warning records. The\",\n \"console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`.\",\n \"just add it to that dictinary. By default we provide\",\n \"if execution was not aborted but alarm is needed. if\",\n \"default we provide the next few record types: +---------+---------+ |\",\n \"\\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass\",\n \"describing the application. self.app = None self.desc = None self.version\",\n \"self.header.used is True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send\",\n \"\\\"\\\"\\\"Calculate the date when logger must be restarted according to\",\n \"it is string then it must describe records format. #\",\n \"= '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message\",\n \"types filters. To filter record type just set corresponding item\",\n \"default is True. control : bool, optional The argument is\",\n \"pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email\",\n \"configure SMTP connection. db : dict, optional The argument is\",\n \"0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is\",\n \"if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize\",\n \"sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs\",\n \"and using information from diffrent inputs: user messages, traceback, frames,\",\n \"None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes\",\n \"appropriate one here. If you wish to use own record\",\n \"forms (variables) for record and message formatting. \\\"\\\"\\\" self._with_error =\",\n \"and SMTP server is configurated. If one of the limit\",\n \"argument is used to open or close output `console`. file\",\n \"initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html,\",\n \"self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel =\",\n \"False: self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write\",\n \"self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day\",\n \"record type just set corresponding item value to False. root\",\n \"contaion any parameter of formatter # that must be customized.\",\n \"exit if it is configured. if self._control is True: if\",\n \": str, optional The type of error according to `rectypes`\",\n \"the `version` attribute. status : bool, optional The argument is\",\n \"`fail()`. If you wish to modify the text of this\",\n \"used to enable or disable execution break in case on\",\n \"isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str,\",\n \"records. Parameters ---------- rectype : str By default method creates\",\n \"the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None,\",\n \"Must be presented as number of bytes. The default is\",\n \"The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File\",\n \"format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output.\",\n \"Attributes describing the application. self.app = None self.desc = None\",\n \"for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for\",\n \"file will be opened at each 00:00:00. maxlevel : int\",\n \"separate different blocks of information. Parameters ---------- div : str,\",\n \"name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False,\",\n \"Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for\",\n \"message with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype,\",\n \"or close output `console`. file : bool, optional The argument\",\n \"optional The argument is used to set the `app` attribute.\",\n \"So if you wish to modify `rectype` form then edit\",\n \"set of methods, items and commands that together gives funcionality\",\n \"Create formatter in case it is not exists yet or\",\n \"email : bool, optional The argument is used to open\",\n \"is True: self.desc = desc if isinstance(version, (str, int, float))\",\n \"str, optional The argument is used to set the `app`\",\n \"the alarming mechanism for this certain call. level : int\",\n \"|none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG\",\n \"'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors =\",\n \"def write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters ----------\",\n \"to `False` the exception will be just printed in original\",\n \"is used to open or close output `file`. email :\",\n \"the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None,\",\n \"from .formatter import Formatter from .header import Header from .output\",\n \"error message. alarming : bool The argument is used to\",\n \"output file statistics to catch when current file must be\",\n \"root if it is not exists. In other case modify\",\n \"True: self.app = app if isinstance(desc, str) is True: self.desc\",\n \"**kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug'\",\n \"rectype : str, optional The type of error according to\",\n \"the value of appropriate item. with_errors : int The flag\",\n \"connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): #\",\n \": bool, optional The argument is used to open or\",\n \"`sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can\",\n \"message : str The message that must be written. error\",\n \"logging was started. rectypes : dict All available record types.\",\n \"is used to filter warning records. The default is True.\",\n \"is used to filter info records. debug : bool, optional\",\n \"to filter error records. The default is True. critical :\",\n \"extension : str, optional The argument is used to set\",\n \"filters : dict Record types filters. To filter record type\",\n \"self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html\",\n \"record): \\\"\\\"\\\"Direct write to the output. Parameters ---------- record :\",\n \"used to set record template. info : bool, optional The\",\n \"and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the\",\n \"float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int,\",\n \"str, optional The argument is used te define `name` attribute\",\n \"version : str, optional The argument is used to set\",\n \"according to `rectypes` dictionary. format : str, optional The format\",\n \"def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False,\",\n \"'formatter') is False: format = {} if isinstance(format, dict) is\",\n \"= maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True:\",\n \"to the output. If exception in current traceback exists then\",\n \"# Create or customize record type filters. if hasattr(self, 'filters')\",\n \"str Version of the application that we are logging. start_date\",\n \": int, optional Lenght of the bound. \\\"\\\"\\\" border =\",\n \"control # Initialize sysinfo instance when not exists. if hasattr(self,\",\n \"self is a complex set of methods, items and commands\",\n \"used to filter error records. The default is True. critical\",\n \"line to the output. Parameters ---------- message : str The\",\n \"self.email = self.root.email self.html = self.root.html self.table = self.root.table #\",\n \"used to configure DB connection. format : str, optional The\",\n \"Parameters ---------- app : str, optional The argument is used\",\n \"= maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors\",\n \"limits and parameters of execution behaviour. if isinstance(maxsize, (int, float,\",\n \"will be opened at each 00:00:00. maxlevel : int or\",\n \"The text that will be presented as subheader. \\\"\\\"\\\" bound\",\n \"pass def _exit(self): # Inform about the error. if self._alarming\",\n \"open or close output `email`. html : bool, optional The\",\n \"alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of\",\n \"= self.root.file self.email = self.root.email self.html = self.root.html self.table =\",\n \"own record types then just add it to that dictinary.\",\n \"bound. length : int, optional Lenght of the bound. \\\"\\\"\\\"\",\n \"bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border + '\\\\n')\",\n \"sys.exit() # Send alarm if execution was not aborted but\",\n \"yet or just customize it. # Parameter format can be\",\n \"the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self, string):\",\n \"errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None,\",\n \"= self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print\",\n \"restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date +\",\n \"pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype\",\n \"maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console\",\n \"that must be written instead of exception. rectype : str,\",\n \"`Dataset` object data can be easily accessed by get item\",\n \"file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db)\",\n \"wish to use own record type or change the presentaion\",\n \"file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new()\",\n \"True. alarming : bool, optional The argument is used to\",\n \"argument is used to open or close output `table`. directory\",\n \"the application during its execution. filters : dict Record types\",\n \"output `html`. table : bool, optional The argument is used\",\n \"to open or close output `file`. email : bool, optional\",\n \"is requested. if hasattr(self, 'root') is False: self.root = Root(self,\",\n \"+---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning\",\n \"`root`. console : bool, optional The argument is used to\",\n \"if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control,\",\n \"have an unique name which will help to identify it.\",\n \"`Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`.\",\n \"err_value, err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype, message,\",\n \"Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut\",\n \"logbook import sys import time import traceback from .conf import\",\n \"---------- name : str Name of the logger. app :\",\n \"execution break in case on error. The default is True.\",\n \"The argument is used to configure DB connection. format :\",\n \"information. Parameters ---------- div : str, optional Symbol that is\",\n \"types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE\",\n \"define maximun number of errors. \\\"\\\"\\\" if isinstance(app, str) is\",\n \"error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record\",\n \"isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if\",\n \"The type of error according to `rectypes` dictionary. format :\",\n \": Record The argument is used to send it to\",\n \"if extension is not None: path['ext'] = extension if len(path)\",\n \"error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True:\",\n \"status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None,\",\n \"format} if hasattr(self, 'formatter') is False: format = {} if\",\n \"used to open or close output `console`. file : bool,\",\n \"pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between\",\n \"self._with_error = True self._count_errors += 1 format = self.formatter.error if\",\n \"console, file, email, database table, HTML document - and using\",\n \"is `True`, email output is enabled and SMTP server is\",\n \"The argument is used to filter info records. The default\",\n \"or close output `table`. directory : str, optional The argument\",\n \"must have an unique name which will help to identify\",\n \"`email`. html : bool, optional The argument is used to\",\n \"bool, optional The argument is used to define the break\",\n \"True. critical : bool, optional The argument is used to\",\n \"extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server.\",\n \"bool) is True: self._alarming = alarming if isinstance(control, bool) is\",\n \"= {} for key, value in {'info': info, 'debug': debug,\",\n \"raw text with the new line to the output. Parameters\",\n \"db : dict, optional The argument is used to configure\",\n \"the output. If exception in current traceback exists then method\",\n \"to identify it. Main application logger will have the same\",\n \"self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day: self.restart() return\",\n \"def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create()\",\n \"'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None,\",\n \"modify the text of this messages just edit the value\",\n \"self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic\",\n \"open or close output `html`. table : bool, optional The\",\n \"is string then it must describe records format. # When\",\n \"of errors that logger catched in the application during its\",\n \"is True: err_name = err_type.__name__ err_value = err_value for tb\",\n \"permitted. # The alarm will be generated at exit if\",\n \"used to filter critical records. alarming : bool, optional The\",\n \"to set the `desc` attribute. version : str, optional The\",\n \"days that will be logged to same file. maxlevel :\",\n \"to use own record type or change the presentaion of\",\n \"maxsize : int or bool, optional The argument is used\",\n \"smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control,\",\n \"be opened at each 00:00:00. maxlevel : int or bool,\",\n \"'header') is False: self.header = Header(self) pass def write(self, record):\",\n \"f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text with\",\n \"text of this messages just edit the value of appropriate\",\n \"that are printed with some `Logger` methods like `ok()`, `success()`,\",\n \"The argument is used to set the `version` attribute. status\",\n \"'' self.record(rectype, message, **kwargs) # Break execution in case of\",\n \"according to `formatter.error` string presentation. If `formatter.error` is set to\",\n \"argument is used to open or close output `html`. table\",\n \"is used to filter debug records. The default is False.\",\n \"# Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db)\",\n \"used to open or close output `file`. email : bool,\",\n \"exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) #\",\n \"import sys import time import traceback from .conf import all_loggers\",\n \"extension is not None: path['ext'] = extension if len(path) >\",\n \"str The message that must be written. error : bool,\",\n \"argument is used to filter debug records. The default is\",\n \"import Root from .record import Record from .sysinfo import Sysinfo\",\n \"The flag shows that logger catched errors in the application\",\n \"to filter warning records. The default is True. error :\",\n \"= f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text\",\n \"filter debug records. The default is False. warning : bool,\",\n \"object data can be easily accessed by get item operation\",\n \"if isinstance(version, (str, int, float)) is True: self.version = version\",\n \"self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error =\",\n \"False: format = {} if isinstance(format, dict) is False else\",\n \"text that will be presented as subheader. \\\"\\\"\\\" bound =\",\n \"keyword arguments used for additional forms (variables) for record and\",\n \"The argument is used to set logging file name. extension\",\n \"argument is used to configure DB connection. format : str,\",\n \"to modify the text of this messages just edit the\",\n \"file folder. filename : str, optional The argument is used\",\n \"writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True,\",\n \"value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root,\",\n \"during its execution. filters : dict Record types filters. To\",\n \"str, optional The format of the error message. alarming :\",\n \"self.desc = desc if isinstance(version, (str, int, float)) is True:\",\n \"the output. Parameters ---------- record : Record The argument is\",\n \"True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not\",\n \"the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype,\",\n \"1. maxerrors : int or bool, optional The argument is\",\n \"import all_loggers from .formatter import Formatter from .header import Header\",\n \"warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) #\",\n \"= directory if filename is not None: path['name'] = filename\",\n \"= self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print\",\n \"used to configure SMTP connection. db : dict, optional The\",\n \"to same file. The default is 1 which means that\",\n \"start_date : datetime.datetime Date when logging was started. rectypes :\",\n \"path = {} if directory is not None: path['dir'] =\",\n \"hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header\",\n \"'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 #\",\n \"argument is used to set logging file folder. filename :\",\n \"self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming =\",\n \"file, email, database table, HTML document - and using information\",\n \"`rectypes` dictionary. format : str, optional The format of the\",\n \"start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows\",\n \"logger must have an unique name which will help to\",\n \"alarm will be generated at exit if it is configured.\",\n \"\\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True,\",\n \"attribute rectypes. If you wish to use own record type\",\n \"header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def\",\n \"self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines\",\n \"# that must be customized. if isinstance(format, str) is True:\",\n \"**kwargs) else: message = message or '' self.record(rectype, message, **kwargs)\",\n \"of errors. The default is False which means it is\",\n \"'filters') is False: self.filters = {} for key, value in\",\n \"during its execution. count_errors : int Number of errors that\",\n \"'email': email, 'html': html, 'table': table}.items(): if value is True:\",\n \"warning records. The default is True. error : bool, optional\",\n \": bool, optional The argument is used to filter debug\",\n \"err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type,\",\n \"None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) #\",\n \"is used to filter debug records. warning : bool, optional\",\n \"or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header\",\n \"not exists. if hasattr(self, 'header') is False: self.header = Header(self)\",\n \"exception. rectype : str, optional The type of error according\",\n \"filter debug records. warning : bool, optional The argument is\",\n \"The argument is used to filter info records. debug :\",\n \"\\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message =\",\n \"is used to set logging file extension. smtp : dict,\",\n \"open or close output `table`. directory : str, optional The\",\n \"error then set that parameter to `True`. **kwargs The keyword\",\n \"= (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output\",\n \"output. Parameters ---------- message : str The message that must\",\n \"no name. Parameters ---------- name : str, optional The argument\",\n \"self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors >\",\n \"native logbook methods or by calling `getlogger()` method with no\",\n \"attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO',\",\n \"records. The default is False. warning : bool, optional The\",\n \"`name` attribute app : str, optional The argument is used\",\n \"self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was an error\",\n \"| +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages\",\n \"else: message = message or '' self.record(rectype, message, **kwargs) #\",\n \"00:00:00. maxlevel : int or bool, optional The argument is\",\n \"method with no name. Parameters ---------- name : str, optional\",\n \"# Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp)\",\n \"The argument is used to define maximum number of days\",\n \"`False` the exception will be just printed in original Python\",\n \"argument is used to filter debug records. warning : bool,\",\n \"to same file. maxlevel : int or bool, optional The\",\n \"level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output. If exception\",\n \"'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok':\",\n \"file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email.\",\n \"'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance\",\n \"The default is 1. maxerrors : int or bool, optional\",\n \"|info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING\",\n \"optional The argument is used to define maximum number of\",\n \"\\\"\\\"\\\"Main method to configure the logger and all its attributes.\",\n \"argument is used to enable or disable the alarming mechanism\",\n \"debug : bool, optional The argument is used to filter\",\n \"is not exists yet or just customize it. # Parameter\",\n \"in the output. Useful when need to separate different blocks\",\n \"output `table`. directory : str, optional The argument is used\",\n \"return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None,\",\n \"True: if self._maxsize is not False: if self.root.file.size is not\",\n \"subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass\",\n \"output if it is requested. if hasattr(self, 'root') is False:\",\n \"f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj\",\n \"def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch when\",\n \"import atexit import datetime as dt import os import platform\",\n \"Record types filters. To filter record type just set corresponding\",\n \"is True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email\",\n \"tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file,\",\n \"**kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to\",\n \"to set record template. info : bool, optional The argument\",\n \"rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None,\",\n \"str Name of the application that we are logging. desc\",\n \"`Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`.\",\n \"**kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb)\",\n \"certain call. level : int The argument is used to\",\n \"opened at each 00:00:00. maxlevel : int or bool, optional\",\n \"records. The default is True. debug : bool, optional The\",\n \"DB connection. format : str, optional The argument is used\",\n \"self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table\",\n \"must be customized. if isinstance(format, str) is True: format =\",\n \"traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1]\",\n \"item value to False. root : pypyrus_logbook.output.Root The output `Root`\",\n \"To filter record type just set corresponding item value to\",\n \"message that must be written instead of exception. rectype :\",\n \"length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful when need\",\n \"+---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages\",\n \"filter info records. debug : bool, optional The argument is\",\n \"case on error. maxsize : int or bool, optional The\",\n \"logger. Parameters are the same as for creatrion. Parameters ----------\",\n \"will format the exception according to `formatter.error` string presentation. If\",\n \"from .output import Root from .record import Record from .sysinfo\",\n \"optional The argument is used to filter debug records. warning\",\n \"self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True:\",\n \"The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def\",\n \"If you wish to use own record types then just\",\n \"version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension,\",\n \"describe the error level. **kwargs The keyword arguments used for\",\n \"# Attributes describing the application. self.app = None self.desc =\",\n \"be changed but depends on available record types. All registered\",\n \"The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output\",\n \"err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception =\",\n \"error according to `rectypes` dictionary. format : str, optional The\",\n \"'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open()\",\n \"types. All registered record types are stored in the instance\",\n \"occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None,\",\n \"Set exit function. atexit.register(self._exit) # Add creating logger to special\",\n \"aborted. Parameters ---------- message : str, optional The message that\",\n \"we are logging. version : str Version of the application\",\n \"self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record\",\n \"in different outputs: console, file, email, database table, HTML document\",\n \"> self._maxsize: self.restart() return if self._maxdays is not False: if\",\n \"desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename,\",\n \"message. alarming : bool The argument is used to enable\",\n \"it is disabled. Attributes ---------- name : str Name of\",\n \"'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'}\",\n \"not aborted but alarm is needed. if alarming is True:\",\n \"is False. warning : bool, optional The argument is used\",\n \"to filter info records. debug : bool, optional The argument\",\n \"record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def\",\n \"template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo\",\n \"Parameters ---------- message : str The message that must be\",\n \"enable or disable alarming mechanism. The default is True. control\",\n \"def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the\",\n \"record : Record The argument is used to send it\",\n \"default method creates the record with the type NONE. That\",\n \"= app if isinstance(desc, str) is True: self.desc = desc\",\n \"attribute. status : bool, optional The argument is used to\",\n \"email output is enabled and SMTP server is configurated. If\",\n \"closed and new one must be opened. \\\"\\\"\\\" if self.root.file.status\",\n \"alarming mechanism. The default is True. control : bool, optional\",\n \"directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in\",\n \"the exception according to `formatter.error` string presentation. If `formatter.error` is\",\n \"next few record types: +---------+---------+ | Key | Value |\",\n \"must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs):\",\n \"smtp=smtp, db=db) else: for key, value in {'console': console, 'file':\",\n \"err_value, err_tb = sys.exc_info() if message is None and err_type\",\n \"The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The\",\n \"import Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class\",\n \"'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() #\",\n \"execution in case of critical error if permitted. # The\",\n \"close output `console`. file : bool, optional The argument is\",\n \"is False which means it is disabled. Attributes ---------- name\",\n \"`getlogger()` method with no name. Parameters ---------- name : str,\",\n \"message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype,\",\n \"'\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with\",\n \"directory : str, optional The argument is used to set\",\n \"exception according to `formatter.error` string presentation. If `formatter.error` is set\",\n \"with no name. Parameters ---------- name : str, optional The\",\n \"False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if\",\n \"`rectype` form then edit appropriate one here. If you wish\",\n \"if self.filters.get(rectype, True) is True: record = Record(self, rectype, message,\",\n \"optional The argument is used to configure SMTP connection. db\",\n \"argument is used to set the `version` attribute. status :\",\n \"table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which\",\n \"maximun number of errors. \\\"\\\"\\\" if isinstance(app, str) is True:\",\n \"filename is not None: path['name'] = filename if extension is\",\n \"is False: format = {} if isinstance(format, dict) is False\",\n \"getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize\",\n \"at exit if it is configured. if self._control is True:\",\n \"be generated at exit if it is configured. if self._control\",\n \"if message is None and err_type is not None: if\",\n \"formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record = Record(self,\",\n \"set logging file extension. smtp : dict, optional The argument\",\n \"execution break in case on error. maxsize : int or\",\n \"message, **kwargs) # Break execution in case of critical error\",\n \"if self._maxsize is not False: if self.root.file.size is not None:\",\n \"self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger\",\n \"used to define the break error level (WARNING = 0,\",\n \"info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None,\",\n \"| +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+\",\n \"+---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that\",\n \"template. info : bool, optional The argument is used to\",\n \"presentaion of exeisting one then edit this dictinary. message :\",\n \"one right way to customize logger. Parameters are the same\",\n \"arguments and systems descriptors. Each logger must have an unique\",\n \"to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self,\",\n \"`console`. file : bool, optional The argument is used to\",\n \"desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None,\",\n \"level. **kwargs The keyword arguments used for additional forms (variables)\",\n \"calling `getlogger()` method with no name. Parameters ---------- name :\",\n \"can be either string or dictionary. # When it is\",\n \"the output. Parameters ---------- message : str The message that\",\n \"is a complex set of methods, items and commands that\",\n \"count_errors : int Number of errors that logger catched in\",\n \"to filter error records. critical : bool, optional The argument\",\n \"'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is\",\n \"rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass\",\n \"of error according to `rectypes` dictionary. format : str, optional\",\n \"message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self,\",\n \"The argument is used to filter debug records. The default\",\n \"The argument is used to open or close output `console`.\",\n \"pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\"\",\n \"logging file folder. filename : str, optional The argument is\",\n \"pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system\",\n \"The argument is used to set logging file extension. smtp\",\n \"horizontal border in the output. Useful when need to separate\",\n \"= 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs):\",\n \"table. Note that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs)\",\n \"set corresponding item value to False. root : pypyrus_logbook.output.Root The\",\n \"---------- message : str The message that must be written.\",\n \"True. control : bool, optional The argument is used to\",\n \"platform import pypyrus_logbook as logbook import sys import time import\",\n \"folder. filename : str, optional The argument is used to\",\n \"'FAIL'} self._with_error = False self._count_errors = 0 # Complete the\",\n \"= err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code\",\n \"self.sysinfo = Sysinfo(self) # Initialize header instance when not exists.\",\n \"that must be written. error : bool, optional If record\",\n \"to that dictinary. By default we provide the next few\",\n \"isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool)\",\n \"is used to configure SMTP connection. db : dict, optional\",\n \"or change the presentaion of exeisting one then edit this\",\n \"formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1 format =\",\n \"Break execution in case of critical error if permitted. #\",\n \"of the logger. self._name = name # Attributes describing the\",\n \"Sysinfo(self) # Initialize header instance when not exists. if hasattr(self,\",\n \"or dictionary. # When it is string then it must\",\n \": str Version of the application that we are logging.\",\n \"rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass\",\n \"`ok()`, `success()`, `fail()`. If you wish to modify the text\",\n \"used to filter debug records. warning : bool, optional The\",\n \"file, 'email': email, 'html': html, 'table': table}.items(): if value is\",\n \"Each logger must have an unique name which will help\",\n \"printed to the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None,\",\n \"one of the limit triggers worked then application will be\",\n \"configured. if self._control is True: if level >= self._maxlevel: sys.exit()\",\n \"optional The argument is used to configure DB connection. format\",\n \"exists then method will format the exception according to `formatter.error`\",\n \"if hasattr(self, 'filters') is False: self.filters = {} for key,\",\n \"False. root : pypyrus_logbook.output.Root The output `Root` object. console :\",\n \"maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if\",\n \"which sets all formatting configuration like record template, error message\",\n \"dict Record types filters. To filter record type just set\",\n \"True. error : bool, optional The argument is used to\",\n \"\\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs):\",\n \"and new one must be opened. \\\"\\\"\\\" if self.root.file.status is\",\n \"alarm if alarming attribute is `True`, email output is enabled\",\n \"The default is False. warning : bool, optional The argument\",\n \"self._alarming = alarming if isinstance(control, bool) is True: self._control =\",\n \"Root from .record import Record from .sysinfo import Sysinfo class\",\n \"\\\"\\\"\\\"Update values in table. Note that DB connection must be\",\n \"be written. error : bool, optional If record is error\",\n \"not None: path['dir'] = directory if filename is not None:\",\n \"output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self,\",\n \"level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\"\",\n \"operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header :\",\n \"bool, optional The argument is used to enable or disable\",\n \"| Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO\",\n \"The argument is used to enable or disable the alarming\",\n \"{} if isinstance(format, dict) is False else format self.formatter =\",\n \"or close output `file`. email : bool, optional The argument\",\n \"each 00:00:00. maxlevel : int or bool, optional The argument\",\n \"document - and using information from diffrent inputs: user messages,\",\n \"Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or\",\n \"the error. if self._alarming is True and self._with_error is True:\",\n \"then edit this dictinary. message : str The message that\",\n \"Inform about the error. if self._alarming is True and self._with_error\",\n \"it is not exists. In other case modify # existing\",\n \".output import Root from .record import Record from .sysinfo import\",\n \"is True. critical : bool, optional The argument is used\",\n \"will have the same name as a python script file.\",\n \"email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html:\",\n \"pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output.\",\n \"error : bool, optional If record is error then set\",\n \"err_tb = sys.exc_info() if message is None and err_type is\",\n \"string): \\\"\\\"\\\"Send subheader as upper-case text between two border lines\",\n \"Python style. Also method will send an alarm if alarming\",\n \"|CRITICAL | +---------+---------+ messages : dict Messages that are printed\",\n \"modify `rectype` form then edit appropriate one here. If you\",\n \"Parameters are the same as for creatrion. Parameters ---------- app\",\n \"connection. format : str, optional The argument is used to\",\n \"HTML document - and using information from diffrent inputs: user\",\n \"header : pypyrus_logbook.header.Header The header that can be printed to\",\n \"dictionary. format : str, optional The format of the error\",\n \"blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters ----------\",\n \"on available record types. All registered record types are stored\",\n \"= dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used\",\n \"presented as number of bytes. The default is 10 Mb.\",\n \"it is not exists yet or just customize it. #\",\n \"rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to the\",\n \"= Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to the\",\n \"python script file. It can be accessed by native logbook\",\n \"set the `desc` attribute. version : str, optional The argument\",\n \"is set to `False` the exception will be just printed\",\n \"it. Main application logger will have the same name as\",\n \"printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If\",\n \"= Sysinfo(self) # Initialize header instance when not exists. if\",\n \"is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table,\",\n \"argument is used to enable or disable execution break in\",\n \"\\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print\",\n \"the next few record types: +---------+---------+ | Key | Value\",\n \"message or '' self.record(rectype, message, **kwargs) # Break execution in\",\n \"extension. smtp : dict, optional The argument is used to\",\n \"optional The argument is used to define maximun number of\",\n \"format can be either string or dictionary. # When it\",\n \"import pypyrus_logbook as logbook import sys import time import traceback\",\n \"\\\"\\\"\\\"Send subheader as upper-case text between two border lines to\",\n \"header that can be printed to the writable output. \\\"\\\"\\\"\",\n \"optional The type of error according to `rectypes` dictionary. format\",\n \"is used to filter warning records. error : bool, optional\",\n \"close output `email`. html : bool, optional The argument is\",\n \"is used to set the `app` attribute. desc : str,\",\n \"format. # When it is dictionary it can contaion any\",\n \"Note that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass\",\n \"of the application that we are logging. desc : str\",\n \"self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True:\",\n \"False: self.filters = {} for key, value in {'info': info,\",\n \"Name of the application that we are logging. desc :\",\n \"is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n'\",\n \"html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug,\",\n \"directory if filename is not None: path['name'] = filename if\",\n \"will be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string\",\n \"db=db) else: for key, value in {'console': console, 'file': file,\",\n \"here. If you wish to use own record types then\",\n \"path. path = {} if directory is not None: path['dir']\",\n \"self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return\",\n \"The argument is used to open or close output `root`.\",\n \"optional The argument is used to define the break error\",\n \"special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return\",\n \"pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the\",\n \"execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize\",\n \"for record and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors\",\n \"is True: self._control = control # Initialize sysinfo instance when\",\n \"to set the `version` attribute. status : bool, optional The\",\n \"send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass\",\n \"self.version = version # Build the output root if it\",\n \": dict Record types filters. To filter record type just\",\n \"output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output\",\n \"disable alarming mechanism. control : bool, optional The argument is\",\n \"to open or close output `table`. directory : str, optional\",\n \"one must be opened. \\\"\\\"\\\" if self.root.file.status is True: if\",\n \"\\\"\\\"\\\"Write blank lines in the output. Parameters ---------- number :\",\n \"\\\"\\\"\\\"Direct write to the output. Parameters ---------- record : Record\",\n \"html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if\",\n \"alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console\",\n \"Output shortcuts. self.console = self.root.console self.file = self.root.file self.email =\",\n \"is error then set that parameter to `True`. **kwargs The\",\n \"None self.desc = None self.version = None # Some logger\",\n \"self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add\",\n \"The argument is used to filter warning records. error :\",\n \"attributes. This is an only one right way to customize\",\n \"os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True,\",\n \"new output file will be opened at each 00:00:00. maxlevel\",\n \"by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The\",\n \"message : str, optional The message that must be written\",\n \"The default is True. critical : bool, optional The argument\",\n \"connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self,\",\n \"a single logger. Logger by it self is a complex\",\n \"\\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border\",\n \"and environment variables and transforms all of that to `Dataset`\",\n \"optional The argument is used to enable or disable execution\",\n \"__repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return\",\n \"is used to define the break error level (WARNING =\",\n \": str Name of the application that we are logging.\",\n \"Keys are used in `Logger` write methods as `rectype` argument.\",\n \"level : int The argument is used to describe the\",\n \": str, optional The argument is used to set the\",\n \"dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning':\",\n \"optional The argument is used to define maximum size of\",\n \"right way to customize logger. Parameters are the same as\",\n \"len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp,\",\n \"**kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning',\",\n \"like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that\",\n \"records. The default is True. critical : bool, optional The\",\n \"that will be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n'\",\n \"(variables) for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True)\",\n \"pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The\",\n \"self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING',\",\n \"to define maximum size of output file. Must be presented\",\n \"optional The argument is used to open or close output\",\n \"to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass\",\n \"True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error\",\n \"The argument is used to enable or disable execution break\",\n \"format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None,\",\n \"default is True. error : bool, optional The argument is\",\n \"shows was an error or not.\\\"\\\"\\\" return self._with_error @property def\",\n \"record and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors +=\",\n \"is used to filter critical records. alarming : bool, optional\",\n \"CRITICAL = 2). All that higher the break level will\",\n \"available record types. All registered record types are stored in\",\n \"of bytes. The default is 10 Mb. maxdays : int\",\n \"__init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False,\",\n \"\\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def\",\n \"(self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file\",\n \"enabled and SMTP server is configurated. If one of the\",\n \"output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object.\",\n \"bool, optional The argument is used to filter error records.\",\n \"err_type is not None: if isinstance(format, str) is True: err_name\",\n \"then method will format the exception according to `formatter.error` string\",\n \"is used to filter error records. The default is True.\",\n \"will be logged to same file. maxlevel : int or\",\n \"extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None,\",\n \": pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like\",\n \"|NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG |\",\n \"traceback exists then method will format the exception according to\",\n \"record is error then set that parameter to `True`. **kwargs\",\n \"logger must be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date\",\n \"must be opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize\",\n \"Header from .output import Root from .record import Record from\",\n \"{'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR',\",\n \"that will be logged to same file. maxlevel : int\",\n \"triggers worked then application will be aborted. Parameters ---------- message\",\n \"we provide the next few record types: +---------+---------+ | Key\",\n \"value is False: getattr(self.root, key).close() # Customize output file path.\",\n \"like record template, error message template, line length etc. sysinfo\",\n \"are logging. start_date : datetime.datetime Date when logging was started.\",\n \"Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none':\",\n \"float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool)\",\n \"'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail':\",\n \"self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method\",\n \"parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is\",\n \"optional The argument is used to filter info records. debug\",\n \"need to separate different blocks of information. Parameters ---------- div\",\n \"SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass\",\n \"<filename>pypyrus_logbook/logger.py<gh_stars>0 import atexit import datetime as dt import os import\",\n \"table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None,\",\n \"is used to filter error records. critical : bool, optional\",\n \"Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file,\",\n \"is True: if self._maxsize is not False: if self.root.file.size is\",\n \"self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors\",\n \"bool) is True: self.filters[key] = value # Customize limits and\",\n \"errors that logger catched in the application during its execution.\",\n \"to configure the logger and all its attributes. This is\",\n \"The keyword arguments used for additional forms (variables) for record\",\n \"used to filter debug records. The default is False. warning\",\n \"level. maxerrors : int or bool, optional The argument is\",\n \"if filename is not None: path['name'] = filename if extension\",\n \"message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs):\",\n \"of exception. rectype : str, optional The type of error\",\n \"application that we are logging. version : str Version of\",\n \"used to set the `version` attribute. status : bool, optional\",\n \"catched in the application during its execution. filters : dict\",\n \": dict All available record types. Keys are used in\",\n \"with_errors : int The flag shows that logger catched errors\",\n \"message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart\",\n \"variables and transforms all of that to `Dataset` object. Through\",\n \"as logbook import sys import time import traceback from .conf\",\n \"= self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__\",\n \"will be aborted. Parameters ---------- message : str, optional The\",\n \"\\\"\\\"\\\"Write horizontal border in the output. Useful when need to\",\n \"path['dir'] = directory if filename is not None: path['name'] =\",\n \"desc : str, optional The argument is used to set\",\n \"types then just add it to that dictinary. By default\",\n \"Initialize header instance when not exists. if hasattr(self, 'header') is\",\n \"self.formatter.error if format is None else format # Parse the\",\n \"that must be customized. if isinstance(format, str) is True: format\",\n \"to open or close output `html`. table : bool, optional\",\n \"html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False,\",\n \"or '' self.record(rectype, message, **kwargs) # Break execution in case\",\n \"= os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message,\",\n \"to define the break error level (WARNING = 0, ERRROR\",\n \"file. maxlevel : int or bool, optional The argument is\",\n \"pass def line(self, message): \\\"\\\"\\\"Send raw text with the new\",\n \": str By default method creates the record with the\",\n \"f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send\",\n \"self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True:\",\n \"additional forms (variables) for record and message formatting. \\\"\\\"\\\" self._with_error\",\n \"= {} if isinstance(format, dict) is False else format self.formatter\",\n \"file. Must be presented as number of bytes. The default\",\n \"---------- message : str, optional The message that must be\",\n \"can be easily accessed by get item operation or by\",\n \"application execution. The default is 1. maxerrors : int or\",\n \"is used to enable or disable alarming mechanism. control :\",\n \"argument is used to define the break error level. maxerrors\",\n \"describe records format. # When it is dictionary it can\",\n \"self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc,\",\n \"or disable the alarming mechanism for this certain call. level\",\n \"info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype =\",\n \"True: self._alarming = alarming if isinstance(control, bool) is True: self._control\",\n \"opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is not\",\n \"**kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record\",\n \"application that we are logging. desc : str Description of\",\n \"of the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border\",\n \"from .header import Header from .output import Root from .record\",\n \"argument is used to filter info records. The default is\",\n \"True: err_name = err_type.__name__ err_value = err_value for tb in\",\n \"argument is used to set the `desc` attribute. version :\",\n \"None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value\",\n \"self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() #\",\n \"is not None: path['name'] = filename if extension is not\",\n \"logged to same file. maxlevel : int or bool, optional\",\n \"The default is 10 Mb. maxdays : int or bool,\",\n \"err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False:\",\n \"= None # Some logger important attributes self._start_date = dt.datetime.now()\",\n \"upper-case text between two border lines to the output. Parameters\",\n \"bytes. The default is 10 Mb. maxdays : int or\",\n \"rectypes. If you wish to use own record type or\",\n \"= maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays\",\n \"same name as a python script file. It can be\",\n \"includeing system specifications, flag arguments, execution parameters, user parameters and\",\n \"maximun number of errors. The default is False which means\",\n \"is used to define the break error level. maxerrors :\",\n \"The header that can be printed to the writable output.\",\n \"default is True. maxsize : int or bool, optional The\",\n \"\\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date()\",\n \"Build the output root if it is not exists. In\",\n \"and commands that together gives funcionality for advanced logging in\",\n \"---------- name : str, optional The argument is used te\",\n \"---------- record : Record The argument is used to send\",\n \"define the break error level (WARNING = 0, ERRROR =\",\n \"def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype =\",\n \"environment variables and transforms all of that to `Dataset` object.\",\n \"The argument is used to define maximum size of output\",\n \"debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool)\",\n \"argument is used to filter warning records. error : bool,\",\n \"identify it. Main application logger will have the same name\",\n \"open or close output `file`. email : bool, optional The\",\n \"isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case\",\n \"\\\"\\\"\\\"Send email message. Note that SMTP server connection must be\",\n \"format the exception according to `formatter.error` string presentation. If `formatter.error`\",\n \"if hasattr(self, 'header') is False: self.header = Header(self) pass def\",\n \"True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass\",\n \"`Dataset` object. Through the `Dataset` object data can be easily\",\n \"When it is dictionary it can contaion any parameter of\",\n \"attribute app : str, optional The argument is used to\",\n \"err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype,\",\n \"if level >= self._maxlevel: sys.exit() if self._maxerrors is not False:\",\n \"an alarm if alarming attribute is `True`, email output is\",\n \"that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def\",\n \"all_loggers from .formatter import Formatter from .header import Header from\",\n \"app : str Name of the application that we are\",\n \"True: self.version = version # Build the output root if\",\n \"'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0\",\n \"is True: format = {'record': format} if hasattr(self, 'formatter') is\",\n \"used in formatting. So if you wish to modify `rectype`\",\n \"\\\"\\\"\\\" if isinstance(app, str) is True: self.app = app if\",\n \"errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app = app\",\n \"\\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass\",\n \"default is 10 Mb. maxdays : int or bool, optional\",\n \"Parameters ---------- number : int, optional The number of the\",\n \"pypyrus_logbook.header.Header The header that can be printed to the writable\",\n \"desc : str Description of the application that we are\",\n \"True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is\",\n \"`sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed\",\n \"self.root.table.configure(**db) # Create formatter in case it is not exists\",\n \"**kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical',\",\n \"argument is used to send it to the output `root`.\",\n \"self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) #\",\n \"method will send an alarm if alarming attribute is `True`,\",\n \"By default we provide the next few record types: +---------+---------+\",\n \"**kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note\",\n \": pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The\",\n \"was not aborted but alarm is needed. if alarming is\",\n \"rectypes : dict All available record types. Keys are used\",\n \"is not None: path['dir'] = directory if filename is not\",\n \"table, HTML document - and using information from diffrent inputs:\",\n \"float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int,\",\n \"message : str The message that must be written. \\\"\\\"\\\"\",\n \"the new line to the output. Parameters ---------- message :\",\n \"errors. The default is False which means it is disabled.\",\n \"can be printed to the writable output. \\\"\\\"\\\" def __init__(self,\",\n \"error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output\",\n \"to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self,\",\n \"type of error according to `rectypes` dictionary. format : str,\",\n \": int, optional The number of the blank lines that\",\n \"if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize\",\n \"default is False which means it is disabled. Attributes ----------\",\n \"dict All available record types. Keys are used in `Logger`\",\n \"maxdays : int or bool, optional The argument is used\",\n \"close output `root`. console : bool, optional The argument is\",\n \"= __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name\",\n \"from .record import Record from .sysinfo import Sysinfo class Logger():\",\n \"argument is used to open or close output `file`. email\",\n \"def line(self, message): \\\"\\\"\\\"Send raw text with the new line\",\n \"'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self,\",\n \"message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with\",\n \"= None self.version = None # Some logger important attributes\",\n \"desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None,\",\n \"application that we are logging. start_date : datetime.datetime Date when\",\n \"the same as for creatrion. Parameters ---------- app : str,\",\n \"is not False: if self.root.file.size is not None: if self.root.file.size\",\n \"are logging. desc : str Description of the application that\",\n \": int The flag shows that logger catched errors in\",\n \"== 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close()\",\n \"name. extension : str, optional The argument is used to\",\n \"if alarming attribute is `True`, email output is enabled and\",\n \"filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None,\",\n \"all its attributes. This is an only one right way\",\n \"border in the output. Useful when need to separate different\",\n \"= message or '' self.record(rectype, message, **kwargs) # Break execution\",\n \"The argument is used to enable or disable alarming mechanism.\",\n \"exists yet or just customize it. # Parameter format can\",\n \"to write records. Parameters ---------- rectype : str By default\",\n \"instance attribute rectypes. If you wish to use own record\",\n \"is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True:\",\n \"optional The argument is used to filter warning records. error\",\n \"root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console\",\n \"maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger.\",\n \"methods or by calling `getlogger()` method with no name. Parameters\",\n \"argument is used to filter info records. debug : bool,\",\n \"def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date =\",\n \"format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1,\",\n \"traceback, frames, user parameters, execution arguments and systems descriptors. Each\",\n \"arguments used for additional forms (variables) for record and message\",\n \"By default method creates the record with the type NONE.\",\n \"is True: self.root.file.new() if self.header.used is True: self.head() pass def\",\n \"string then it must describe records format. # When it\",\n \"case modify # existing output if it is requested. if\",\n \"a python script file. It can be accessed by native\",\n \"str, optional The argument is used to set the `version`\",\n \"are used in formatting. So if you wish to modify\",\n \"file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None,\",\n \"`version` attribute. status : bool, optional The argument is used\",\n \"to bulid the bound. length : int, optional Lenght of\",\n \"is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float,\",\n \"advanced logging in different outputs: console, file, email, database table,\",\n \"records. warning : bool, optional The argument is used to\",\n \"debug records. warning : bool, optional The argument is used\",\n \"break level will interrupt application execution. The default is 1.\",\n \"True: self.root.table.configure(**db) # Create formatter in case it is not\",\n \"we are logging. desc : str Description of the application\",\n \"# Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo')\",\n \"optional The number of the blank lines that must be\",\n \"pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string =\",\n \"used to open or close output `table`. directory : str,\",\n \"will be logged to same file. The default is 1\",\n \"The argument is used to define the break error level\",\n \"instance when not exists. if hasattr(self, 'header') is False: self.header\",\n \"the error. err_type, err_value, err_tb = sys.exc_info() if message is\",\n \"is not None: if self.root.file.size > self._maxsize: self.restart() return if\",\n \"record types. All registered record types are stored in the\",\n \"alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure\",\n \"of appropriate item. with_errors : int The flag shows that\",\n \"INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail']\",\n \"False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app,\",\n \"dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to\",\n \"The argument is used to configure SMTP connection. db :\",\n \"self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False,\",\n \"to the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None,\",\n \"from .conf import all_loggers from .formatter import Formatter from .header\",\n \"argument. Values are used in formatting. So if you wish\",\n \"output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message,\",\n \"desc if isinstance(version, (str, int, float)) is True: self.version =\",\n \"`html`. table : bool, optional The argument is used to\",\n \"'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success':\",\n \"pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype\",\n \"self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table\",\n \"The argument is used to set the `desc` attribute. version\",\n \"is True. debug : bool, optional The argument is used\",\n \"---------- number : int, optional The number of the blank\",\n \"bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is\",\n \"record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def\",\n \"maximum size of output file. Must be presented as number\",\n \"the output. Useful when need to separate different blocks of\",\n \"output `email`. html : bool, optional The argument is used\",\n \"logged to same file. The default is 1 which means\",\n \"used to enable or disable alarming mechanism. The default is\",\n \"import os import platform import pypyrus_logbook as logbook import sys\",\n \"attribute. version : str, optional The argument is used to\",\n \"self._name = name # Attributes describing the application. self.app =\",\n \"console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp,\",\n \"application during its execution. count_errors : int Number of errors\",\n \"record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs)\",\n \"to separate different blocks of information. Parameters ---------- div :\",\n \"bool The argument is used to enable or disable the\",\n \"self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the\",\n \"Main application logger will have the same name as a\",\n \"self.root.email self.html = self.root.html self.table = self.root.table # Set exit\",\n \"pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype\",\n \"str) is True: self.desc = desc if isinstance(version, (str, int,\",\n \"div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful when\",\n \"+=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug\",\n \"string or dictionary. # When it is string then it\",\n \"All registered record types are stored in the instance attribute\",\n \"error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is\",\n \"= f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message):\",\n \"set to `False` the exception will be just printed in\",\n \"instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo\",\n \"optional The argument is used to filter critical records. The\",\n \"def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that DB\",\n \"define `name` attribute app : str, optional The argument is\",\n \"**kwargs): \\\"\\\"\\\"Update values in table. Note that DB connection must\",\n \"send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server\",\n \"The argument is used to open or close output `email`.\",\n \"to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass def\",\n \"template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object\",\n \"formatter in case it is not exists yet or just\",\n \"record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def\",\n \"Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length\",\n \"email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document.\",\n \"self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype,\",\n \"2). All that higher the break level will interrupt application\",\n \"Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents\",\n \"if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart()\",\n \"dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object\",\n \"alarming mechanism. control : bool, optional The argument is used\",\n \"is 1 which means that new output file will be\",\n \"The argument is used to filter warning records. The default\",\n \"sys.exc_info() if message is None and err_type is not None:\",\n \"blocks of information. Parameters ---------- div : str, optional Symbol\",\n \"if value is True: getattr(self.root, key).open() if key == 'file':\",\n \"provide the next few record types: +---------+---------+ | Key |\",\n \"creatrion. Parameters ---------- app : str, optional The argument is\",\n \"using information from diffrent inputs: user messages, traceback, frames, user\",\n \"FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs)\",\n \"= extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP\",\n \"and systems descriptors. Each logger must have an unique name\",\n \"console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None,\",\n \"is used to enable or disable the alarming mechanism for\",\n \"outputs: console, file, email, database table, HTML document - and\",\n \"wish to use own record types then just add it\",\n \"written. error : bool, optional If record is error then\",\n \"import Formatter from .header import Header from .output import Root\",\n \"True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool))\",\n \"pass def write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters\",\n \"is True. maxsize : int or bool, optional The argument\",\n \"at each 00:00:00. maxlevel : int or bool, optional The\",\n \"self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if\",\n \"to use own record types then just add it to\",\n \"to the output. Parameters ---------- record : Record The argument\",\n \"output file will be opened at each 00:00:00. maxlevel :\",\n \"execution was not aborted but alarm is needed. if alarming\",\n \"count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self,\",\n \"close output `file`. email : bool, optional The argument is\",\n \"maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel\",\n \"self.desc = None self.version = None # Some logger important\",\n \"requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console,\",\n \"True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message.\",\n \"be just printed in original Python style. Also method will\",\n \"# The alarm will be generated at exit if it\",\n \"written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs):\",\n \"just customize it. # Parameter format can be either string\",\n \"def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between two\",\n \"(WARNING = 0, ERRROR = 1, CRITICAL = 2). All\",\n \"The default is True. error : bool, optional The argument\",\n \"if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file,\",\n \"The argument is used to open or close output `table`.\",\n \"statistics to catch when current file must be closed and\",\n \"flag shows that logger catched errors in the application during\",\n \"number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters ---------- number\",\n \"**kwargs) pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string\",\n \"type just set corresponding item value to False. root :\",\n \"Parameters ---------- div : str, optional Symbol that is used\",\n \"to open or close output `root`. console : bool, optional\",\n \"be accessed by native logbook methods or by calling `getlogger()`\",\n \"info records. The default is True. debug : bool, optional\",\n \"application. self.app = None self.desc = None self.version = None\",\n \"debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None):\",\n \"with some `Logger` methods like `ok()`, `success()`, `fail()`. If you\",\n \"The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The\",\n \"'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK',\",\n \"filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical,\",\n \"for key, value in {'console': console, 'file': file, 'email': email,\",\n \"the limit triggers worked then application will be aborted. Parameters\",\n \"In other case modify # existing output if it is\",\n \"inputs: user messages, traceback, frames, user parameters, execution arguments and\",\n \"an unique name which will help to identify it. Main\",\n \"logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE',\",\n \"message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message,\",\n \"configurated. If one of the limit triggers worked then application\",\n \"The argument is used to filter critical records. The default\",\n \"maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file\",\n \"or disable alarming mechanism. The default is True. control :\",\n \"that higher the break level will interrupt application execution. The\",\n \"is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool))\",\n \"version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None,\",\n \"dictinary. By default we provide the next few record types:\",\n \"Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single logger. Logger\",\n \": datetime.datetime Date when logging was started. rectypes : dict\",\n \"logging. start_date : datetime.datetime Date when logging was started. rectypes\",\n \"is True: self.version = version # Build the output root\",\n \"to the output. Parameters ---------- string : str The text\",\n \"different inputs includeing system specifications, flag arguments, execution parameters, user\",\n \"be customized. if isinstance(format, str) is True: format = {'record':\",\n \"maxerrors : int or bool, optional The argument is used\",\n \"used to set logging file folder. filename : str, optional\",\n \"format of the error message. alarming : bool The argument\",\n \"define maximum size of output file. maxdays : int or\",\n \"error level. **kwargs The keyword arguments used for additional forms\",\n \"be aborted. Parameters ---------- message : str, optional The message\",\n \"if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day: self.restart()\",\n \"used to bulid the bound. length : int, optional Lenght\",\n \"Note that SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args,\",\n \"False: self.sysinfo = Sysinfo(self) # Initialize header instance when not\",\n \"The argument is used to set record template. info :\",\n \"Formatter from .header import Header from .output import Root from\",\n \"then application will be aborted. Parameters ---------- message : str,\",\n \"default is 1. maxerrors : int or bool, optional The\",\n \"logbook methods or by calling `getlogger()` method with no name.\",\n \"creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass\",\n \"this certain call. level : int The argument is used\",\n \"in table. Note that DB connection must be configured. \\\"\\\"\\\"\",\n \"{'record': format} if hasattr(self, 'formatter') is False: format = {}\",\n \"True. maxsize : int or bool, optional The argument is\",\n \"is needed. if alarming is True: self.root.email.alarm() pass def warning(self,\",\n \"err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code\",\n \"execution. filters : dict Record types filters. To filter record\",\n \"# Parameter format can be either string or dictionary. #\",\n \"about the error. if self._alarming is True and self._with_error is\",\n \"formatting configuration like record template, error message template, line length\",\n \"pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that\",\n \"file must be closed and new one must be opened.\",\n \"used to filter critical records. The default is True. alarming\",\n \"table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter :\",\n \"its execution. filters : dict Record types filters. To filter\",\n \"be presented as number of bytes. The default is 10\",\n \"be easily accessed by get item operation or by point\",\n \"err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb):\",\n \"filename : str, optional The argument is used to set\",\n \"email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True,\",\n \"dict) is True: self.formatter.configure(**format) # Create or customize record type\",\n \"bool, optional If record is error then set that parameter\",\n \"needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None,\",\n \"is False: getattr(self.root, key).close() # Customize output file path. path\",\n \"of exeisting one then edit this dictinary. message : str\",\n \"alarming : bool The argument is used to enable or\",\n \"self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if\",\n \"optional Symbol that is used to bulid the bound. length\",\n \"be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update\",\n \"presentation. If `formatter.error` is set to `False` the exception will\",\n \"used to define maximum size of output file. Must be\",\n \"Create or customize record type filters. if hasattr(self, 'filters') is\",\n \"server is configurated. If one of the limit triggers worked\",\n \"message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send\",\n \"message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input\",\n \"default is False. warning : bool, optional The argument is\",\n \"method to configure the logger and all its attributes. This\",\n \"critical records. The default is True. alarming : bool, optional\",\n \"bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self,\",\n \"from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a\",\n \"pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date\",\n \"logging file name. extension : str, optional The argument is\",\n \"def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self):\",\n \"when logger must be restarted according to maxdays parameter. \\\"\\\"\\\"\",\n \"**kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\"\",\n \"record template. info : bool, optional The argument is used\",\n \"in case on error. maxsize : int or bool, optional\",\n \"@property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def\",\n \"|DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR |\",\n \"head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string)\",\n \"maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def\",\n \": str, optional Symbol that is used to bulid the\",\n \"when need to separate different blocks of information. Parameters ----------\",\n \"border = self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def\",\n \"different outputs: console, file, email, database table, HTML document -\",\n \"and transforms all of that to `Dataset` object. Through the\",\n \"Date when logging was started. rectypes : dict All available\",\n \"higher the break level will interrupt application execution. The default\",\n \"on error. maxsize : int or bool, optional The argument\",\n \"its execution. count_errors : int Number of errors that logger\",\n \"bool, optional The argument is used to filter critical records.\",\n \"configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values\",\n \"key, value in {'info': info, 'debug': debug, 'error': error, 'warning':\",\n \"def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be restarted\",\n \"rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message,\",\n \"database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create\",\n \"pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table\",\n \"db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10),\",\n \"else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True:\",\n \"def _exit(self): # Inform about the error. if self._alarming is\",\n \"None else format # Parse the error. err_type, err_value, err_tb\",\n \"rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the\",\n \"def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write\",\n \"that can be printed to the writable output. \\\"\\\"\\\" def\",\n \"an only one right way to customize logger. Parameters are\",\n \"self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return\",\n \"different blocks of information. Parameters ---------- div : str, optional\",\n \"optional The argument is used to filter error records. critical\",\n \"self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to\",\n \"is used to define maximun number of errors. \\\"\\\"\\\" if\",\n \"(int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors,\",\n \"worked then application will be aborted. Parameters ---------- message :\",\n \"status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp,\",\n \"instead of exception. rectype : str, optional The type of\",\n \"self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table.\",\n \"script file. It can be accessed by native logbook methods\",\n \"{'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors\",\n \"self.app = app if isinstance(desc, str) is True: self.desc =\",\n \"to configure SMTP connection. db : dict, optional The argument\",\n \"self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ =\",\n \"# Parse the error. err_type, err_value, err_tb = sys.exc_info() if\",\n \"all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">'\",\n \"if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit()\",\n \"customized. if isinstance(format, str) is True: format = {'record': format}\",\n \"Logger(): \\\"\\\"\\\"This class represents a single logger. Logger by it\",\n \"is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when\",\n \"argument is used to filter warning records. The default is\",\n \"in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical':\",\n \"if self.root.file.status is True: if self._maxsize is not False: if\",\n \"Version of the application that we are logging. start_date :\",\n \"`desc` attribute. version : str, optional The argument is used\",\n \"sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors:\",\n \"Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) #\",\n \"**kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message\",\n \"`table`. directory : str, optional The argument is used to\",\n \"bool, optional The argument is used to filter warning records.\",\n \"be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self,\",\n \"| +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+\",\n \"Parameters ---------- rectype : str By default method creates the\",\n \"open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is\",\n \"is True. error : bool, optional The argument is used\",\n \"the logger. self._name = name # Attributes describing the application.\",\n \"# Send alarm if execution was not aborted but alarm\",\n \"easily accessed by get item operation or by point like\",\n \"# When it is dictionary it can contaion any parameter\",\n \"Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension,\",\n \"border lines to the output. Parameters ---------- string : str\",\n \"must be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date =\",\n \"argument is used to define the break error level (WARNING\",\n \"to send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record)\",\n \"output. Parameters ---------- string : str The text that will\",\n \"+ dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics\",\n \"= desc if isinstance(version, (str, int, float)) is True: self.version\",\n \"its attributes. This is an only one right way to\",\n \"name which will help to identify it. Main application logger\",\n \"for key, value in {'info': info, 'debug': debug, 'error': error,\",\n \"printed in original Python style. Also method will send an\",\n \"that shows was an error or not.\\\"\\\"\\\" return self._with_error @property\",\n \"logger and all its attributes. This is an only one\",\n \"new line to the output. Parameters ---------- message : str\",\n \"format = {'record': format} if hasattr(self, 'formatter') is False: format\",\n \"is not False: if self._count_errors > self._maxerrors: sys.exit() # Send\",\n \": pypyrus_logbook.header.Header The header that can be printed to the\",\n \"define maximum size of output file. Must be presented as\",\n \"diffrent inputs: user messages, traceback, frames, user parameters, execution arguments\",\n \"self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html\",\n \"pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file :\",\n \"app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None,\",\n \"'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self,\",\n \"`root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False,\",\n \"self.restart() return if self._maxdays is not False: if self.__restart_date.day ==\",\n \"set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that DB connection\",\n \"dict) is False else format self.formatter = Formatter(**format) elif isinstance(format,\",\n \"str, optional The argument is used to set logging file\",\n \"True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is\",\n \"is used to define maximum size of output file. Must\",\n \"funcionality for advanced logging in different outputs: console, file, email,\",\n \"line(self, message): \\\"\\\"\\\"Send raw text with the new line to\",\n \"help to identify it. Main application logger will have the\",\n \"Send alarm if execution was not aborted but alarm is\",\n \"by native logbook methods or by calling `getlogger()` method with\",\n \"output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output\",\n \"not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured\",\n \"self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error,\",\n \"methods like `ok()`, `success()`, `fail()`. If you wish to modify\",\n \"self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory,\",\n \"break in case on error. maxsize : int or bool,\",\n \"to define maximum size of output file. maxdays : int\",\n \"logging. version : str Version of the application that we\",\n \"output file. maxdays : int or bool, optional The argument\",\n \"parameters, execution arguments and systems descriptors. Each logger must have\",\n \"message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format\",\n \"output `console`. file : bool, optional The argument is used\",\n \"output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML\",\n \"complex set of methods, items and commands that together gives\",\n \"can contaion any parameter of formatter # that must be\",\n \"to define maximum number of days that will be logged\",\n \"---------- rectype : str By default method creates the record\",\n \"The format of the error message. alarming : bool The\",\n \"will help to identify it. Main application logger will have\",\n \"with_error(self): \\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\" return\",\n \"exists. if hasattr(self, 'header') is False: self.header = Header(self) pass\",\n \"is disabled. Attributes ---------- name : str Name of the\",\n \"= value # Customize limits and parameters of execution behaviour.\",\n \"to modify `rectype` form then edit appropriate one here. If\",\n \"optional The argument is used to filter debug records. The\",\n \"are printed with some `Logger` methods like `ok()`, `success()`, `fail()`.\",\n \"{'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items():\",\n \"'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html,\",\n \"write to the output. Parameters ---------- record : Record The\",\n \"Parameters ---------- string : str The text that will be\",\n \"key).open() if key == 'file': getattr(self.root, key).new() elif value is\",\n \"format = {} if isinstance(format, dict) is False else format\",\n \"\\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\" return self._with_error\",\n \"record types: +---------+---------+ | Key | Value | +=========+=========+ |none\",\n \"output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The\",\n \"argument is used te define `name` attribute app : str,\",\n \"app if isinstance(desc, str) is True: self.desc = desc if\",\n \"**kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs):\",\n \"pypyrus_logbook as logbook import sys import time import traceback from\",\n \"when logging was started. rectypes : dict All available record\",\n \"it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def\",\n \"rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters\",\n \"def with_error(self): \\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\"\",\n \"success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info'\",\n \"can be changed but depends on available record types. All\",\n \": bool The argument is used to enable or disable\",\n \"catch when current file must be closed and new one\",\n \"self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to\",\n \"exit function. atexit.register(self._exit) # Add creating logger to special all_loggers\",\n \"True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate\",\n \"message = '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else:\",\n \"number : int, optional The number of the blank lines\",\n \"or disable execution break in case on error. maxsize :\",\n \"if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in\",\n \"if self.header.used is True: self.head() pass def send(self, *args, **kwargs):\",\n \"optional Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div *\",\n \"maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger\",\n \"of formatter # that must be customized. if isinstance(format, str)\",\n \"and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record\",\n \"used to define maximum size of output file. maxdays :\",\n \"db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize,\",\n \"for creatrion. Parameters ---------- app : str, optional The argument\",\n \"not exists yet or just customize it. # Parameter format\",\n \"to set logging file folder. filename : str, optional The\",\n \"mechanism. control : bool, optional The argument is used to\",\n \"the error message. alarming : bool The argument is used\",\n \"number of days that will be logged to same file.\",\n \"the output file statistics to catch when current file must\",\n \"to enable or disable alarming mechanism. control : bool, optional\",\n \"The argument is used to define maximun number of errors.\",\n \"Name of the logger. app : str Name of the\",\n \"are the same as for creatrion. Parameters ---------- app :\",\n \"critical : bool, optional The argument is used to filter\",\n \"Symbol that is used to bulid the bound. length :\",\n \"set logging file folder. filename : str, optional The argument\",\n \"application during its execution. filters : dict Record types filters.\",\n \"case on error. The default is True. maxsize : int\",\n \"argument is used to enable or disable alarming mechanism. control\",\n \"Special input object which parse different inputs includeing system specifications,\",\n \"to define maximun number of errors. \\\"\\\"\\\" if isinstance(app, str)\",\n \"is dictionary it can contaion any parameter of formatter #\",\n \"\\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype : str\",\n \": dict, optional The argument is used to configure DB\",\n \"self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date\",\n \"`success()`, `fail()`. If you wish to modify the text of\",\n \"is configurated. If one of the limit triggers worked then\",\n \"or bool, optional The argument is used to define maximum\",\n \"if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection.\",\n \"format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message =\",\n \"string : str The text that will be presented as\",\n \"pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter\",\n \"error. if self._alarming is True and self._with_error is True: self.root.email.alarm()\",\n \"float)) is True: self.version = version # Build the output\",\n \"server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def\",\n \"# Initialize header instance when not exists. if hasattr(self, 'header')\",\n \"def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def\",\n \"only one right way to customize logger. Parameters are the\",\n \": bool, optional If record is error then set that\",\n \"table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True,\",\n \"the record with the type NONE. That can be changed\",\n \"False. warning : bool, optional The argument is used to\",\n \"this messages just edit the value of appropriate item. with_errors\",\n \"document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut\",\n \"optional The argument is used to set logging file extension.\",\n \"Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self\",\n \"the type NONE. That can be changed but depends on\",\n \"parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self):\",\n \"that together gives funcionality for advanced logging in different outputs:\",\n \"# Inform about the error. if self._alarming is True and\",\n \"used to filter warning records. The default is True. error\",\n \"by it self is a complex set of methods, items\",\n \"start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag\",\n \"is an only one right way to customize logger. Parameters\",\n \"\\\"\\\"\\\"This class represents a single logger. Logger by it self\",\n \"all formatting configuration like record template, error message template, line\",\n \"error level. maxerrors : int or bool, optional The argument\",\n \"size of output file. maxdays : int or bool, optional\",\n \"be printed to the writable output. \\\"\\\"\\\" def __init__(self, name=None,\",\n \"output root if it is not exists. In other case\",\n \"filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console':\",\n \"gives funcionality for advanced logging in different outputs: console, file,\",\n \"alarm is needed. if alarming is True: self.root.email.alarm() pass def\",\n \"self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is\",\n \"which means that new output file will be opened at\",\n \"email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None,\",\n \"* self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write\",\n \"if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution\",\n \"blank lines that must be written. \\\"\\\"\\\" string = '\\\\n'*number\",\n \"just set corresponding item value to False. root : pypyrus_logbook.output.Root\",\n \"between two border lines to the output. Parameters ---------- string\",\n \"is None and err_type is not None: if isinstance(format, str)\",\n \"output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header\",\n \"in case it is not exists yet or just customize\",\n \"are used in `Logger` write methods as `rectype` argument. Values\",\n \"message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs):\",\n \"1 which means that new output file will be opened\",\n \"frames, user parameters, execution arguments and systems descriptors. Each logger\",\n \"False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status,\",\n \"self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args,\",\n \"pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to\",\n \"you wish to use own record type or change the\",\n \"if it is not exists. In other case modify #\",\n \": str The message that must be written. error :\",\n \"record type filters. if hasattr(self, 'filters') is False: self.filters =\",\n \"str, optional The argument is used to set the `desc`\",\n \"@property def with_error(self): \\\"\\\"\\\"Flag that shows was an error or\",\n \"else: for key, value in {'console': console, 'file': file, 'email':\",\n \"err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code =\",\n \"All available record types. Keys are used in `Logger` write\",\n \"is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self):\",\n \"debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False):\",\n \"message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record =\",\n \"def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype =\",\n \"optional The argument is used to set the `version` attribute.\",\n \"if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head()\",\n \"exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message +=\",\n \"it is dictionary it can contaion any parameter of formatter\",\n \"|warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL\",\n \"current traceback exists then method will format the exception according\",\n \"is True: self.formatter.configure(**format) # Create or customize record type filters.\",\n \"file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None,\",\n \"control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console =\",\n \"disable execution break in case on error. maxsize : int\",\n \"critical error if permitted. # The alarm will be generated\",\n \"= Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self,\",\n \"the error level. **kwargs The keyword arguments used for additional\",\n \"execution arguments and systems descriptors. Each logger must have an\",\n \"self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\"\",\n \"length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse\",\n \"used to define maximun number of errors. \\\"\\\"\\\" if isinstance(app,\",\n \"= name # Attributes describing the application. self.app = None\",\n \"is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict)\",\n \"with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message,\",\n \"SMTP server is configurated. If one of the limit triggers\",\n \"ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info'\",\n \"= filename if extension is not None: path['ext'] = extension\",\n \"descriptors. Each logger must have an unique name which will\",\n \"bool, optional The argument is used to define maximum size\",\n \"etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different\",\n \"is not exists. In other case modify # existing output\",\n \"customize it. # Parameter format can be either string or\",\n \"Parameters ---------- record : Record The argument is used to\",\n \"used to filter info records. debug : bool, optional The\",\n \"message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1,\",\n \"can be accessed by native logbook methods or by calling\",\n \"object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file.\",\n \"output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True,\",\n \"# Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console,\",\n \"output. If exception in current traceback exists then method will\",\n \"import platform import pypyrus_logbook as logbook import sys import time\",\n \"methods, items and commands that together gives funcionality for advanced\",\n \"shows that logger catched errors in the application during its\",\n \"it self is a complex set of methods, items and\",\n \"Values are used in formatting. So if you wish to\",\n \"input object which parse different inputs includeing system specifications, flag\",\n \"object which parse different inputs includeing system specifications, flag arguments,\",\n \"extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True,\",\n \"'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages =\",\n \"value to False. root : pypyrus_logbook.output.Root The output `Root` object.\",\n \"'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value\",\n \"message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record\",\n \"as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string)\",\n \"filter warning records. The default is True. error : bool,\",\n \"isinstance(control, bool) is True: self._control = control # Initialize sysinfo\",\n \"that SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs)\",\n \"SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize\",\n \"message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message\",\n \"two border lines to the output. Parameters ---------- string :\",\n \"record type or change the presentaion of exeisting one then\",\n \"is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING\",\n \"limit triggers worked then application will be aborted. Parameters ----------\",\n \"smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True,\",\n \"info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel,\",\n \"is 1. maxerrors : int or bool, optional The argument\",\n \": str The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n')\",\n \"rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass\",\n \"name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return\",\n \"have the same name as a python script file. It\",\n \"together gives funcionality for advanced logging in different outputs: console,\",\n \"for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for\",\n \"message with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype,\",\n \"version : str Version of the application that we are\",\n \"file path. path = {} if directory is not None:\",\n \"if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs):\",\n \"Parameter format can be either string or dictionary. # When\",\n \"logging in different outputs: console, file, email, database table, HTML\",\n \"is used to configure DB connection. format : str, optional\",\n \"= self.root.console self.file = self.root.file self.email = self.root.email self.html =\",\n \"used to set logging file extension. smtp : dict, optional\",\n \"data can be easily accessed by get item operation or\",\n \"but alarm is needed. if alarming is True: self.root.email.alarm() pass\",\n \"**kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\"\",\n \"for advanced logging in different outputs: console, file, email, database\",\n \"0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status,\",\n \"add it to that dictinary. By default we provide the\",\n \"That can be changed but depends on available record types.\",\n \"message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to\",\n \"from diffrent inputs: user messages, traceback, frames, user parameters, execution\",\n \"Logger formatter which sets all formatting configuration like record template,\",\n \"hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict)\",\n \"line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which\",\n \"to customize logger. Parameters are the same as for creatrion.\",\n \"method creates the record with the type NONE. That can\",\n \"record to the output. If exception in current traceback exists\",\n \"err_type, err_value, err_tb = sys.exc_info() if message is None and\",\n \"Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is\",\n \"exists. In other case modify # existing output if it\",\n \"'\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the\",\n \"the logger. app : str Name of the application that\",\n \"self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True:\",\n \"0, ERRROR = 1, CRITICAL = 2). All that higher\",\n \"maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name\",\n \"error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special\",\n \"app : str, optional The argument is used to set\",\n \"self.filters[key] = value # Customize limits and parameters of execution\",\n \"with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message,\",\n \"way to customize logger. Parameters are the same as for\",\n \"name of the logger. self._name = name # Attributes describing\",\n \"the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def\",\n \"self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must\",\n \"set the `app` attribute. desc : str, optional The argument\",\n \"which will help to identify it. Main application logger will\",\n \"The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger\",\n \"The argument is used to filter debug records. warning :\",\n \"information from diffrent inputs: user messages, traceback, frames, user parameters,\",\n \"True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif\",\n \"dict, optional The argument is used to configure DB connection.\",\n \"True. debug : bool, optional The argument is used to\",\n \"Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info\",\n \"table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning,\",\n \"disable the alarming mechanism for this certain call. level :\",\n \"size of output file. Must be presented as number of\",\n \"the `Dataset` object data can be easily accessed by get\",\n \"pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch\",\n \"= 1, CRITICAL = 2). All that higher the break\",\n \"output `file`. email : bool, optional The argument is used\",\n \"record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records.\",\n \"flag arguments, execution parameters, user parameters and environment variables and\",\n \"that must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass\",\n \"---------- div : str, optional Symbol that is used to\",\n \"form then edit appropriate one here. If you wish to\",\n \"atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name]\",\n \"self.record(rectype, message, **kwargs) # Break execution in case of critical\",\n \"The argument is used to send it to the output\",\n \"None self.version = None # Some logger important attributes self._start_date\",\n \"= {} if directory is not None: path['dir'] = directory\",\n \"bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int,\",\n \"debug records. The default is False. warning : bool, optional\",\n \"= 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version,\",\n \"str) is True: format = {'record': format} if hasattr(self, 'formatter')\",\n \"record with the type NONE. That can be changed but\"\n]","isConversational":false}}},{"rowIdx":780,"cells":{"ngram":{"kind":"list like","value":["Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose","* 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128","2020, Oracle and/or its affiliates. All rights reserved. # This","= 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE","software is dual-licensed to you under the Universal Permissive License","MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128 *","* MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128","License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either","may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE","Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or","Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights","MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE","shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE =","license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 *","is dual-licensed to you under the Universal Permissive License (UPL)","at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024","utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates.","# Copyright (c) 2016, 2020, Oracle and/or its affiliates. All","dual-licensed to you under the Universal Permissive License (UPL) 1.0","coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or its","(UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0","10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE =","the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl","(c) 2016, 2020, Oracle and/or its affiliates. All rights reserved.","STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE","# coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or","choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE =","Oracle and/or its affiliates. All rights reserved. # This software","under the Universal Permissive License (UPL) 1.0 as shown at","2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.","as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE","either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10","https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You","or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may","1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 *","You may choose either license. MEBIBYTE = 1024 * 1024","# This software is dual-licensed to you under the Universal","This software is dual-licensed to you under the Universal Permissive","http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 *","and/or its affiliates. All rights reserved. # This software is","= 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE","at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0.","shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at","rights reserved. # This software is dual-licensed to you under","reserved. # This software is dual-licensed to you under the","License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License","its affiliates. All rights reserved. # This software is dual-licensed","as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown","to you under the Universal Permissive License (UPL) 1.0 as","1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as","affiliates. All rights reserved. # This software is dual-licensed to","2016, 2020, Oracle and/or its affiliates. All rights reserved. #","1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE =","DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128 * MEBIBYTE","you under the Universal Permissive License (UPL) 1.0 as shown","Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache","All rights reserved. # This software is dual-licensed to you"],"string":"[\n \"Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose\",\n \"* 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128\",\n \"2020, Oracle and/or its affiliates. All rights reserved. # This\",\n \"= 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE\",\n \"software is dual-licensed to you under the Universal Permissive License\",\n \"MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128 *\",\n \"* MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128\",\n \"License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either\",\n \"may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE\",\n \"Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or\",\n \"Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights\",\n \"MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE\",\n \"shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE =\",\n \"license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 *\",\n \"is dual-licensed to you under the Universal Permissive License (UPL)\",\n \"at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024\",\n \"utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates.\",\n \"# Copyright (c) 2016, 2020, Oracle and/or its affiliates. All\",\n \"dual-licensed to you under the Universal Permissive License (UPL) 1.0\",\n \"coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or its\",\n \"(UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0\",\n \"10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE =\",\n \"the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl\",\n \"(c) 2016, 2020, Oracle and/or its affiliates. All rights reserved.\",\n \"STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE\",\n \"# coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or\",\n \"choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE =\",\n \"Oracle and/or its affiliates. All rights reserved. # This software\",\n \"under the Universal Permissive License (UPL) 1.0 as shown at\",\n \"2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.\",\n \"as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE\",\n \"either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10\",\n \"https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You\",\n \"or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may\",\n \"1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 *\",\n \"You may choose either license. MEBIBYTE = 1024 * 1024\",\n \"# This software is dual-licensed to you under the Universal\",\n \"This software is dual-licensed to you under the Universal Permissive\",\n \"http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 *\",\n \"and/or its affiliates. All rights reserved. # This software is\",\n \"= 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE\",\n \"at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0.\",\n \"shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at\",\n \"rights reserved. # This software is dual-licensed to you under\",\n \"reserved. # This software is dual-licensed to you under the\",\n \"License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License\",\n \"its affiliates. All rights reserved. # This software is dual-licensed\",\n \"as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown\",\n \"to you under the Universal Permissive License (UPL) 1.0 as\",\n \"1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as\",\n \"affiliates. All rights reserved. # This software is dual-licensed to\",\n \"2016, 2020, Oracle and/or its affiliates. All rights reserved. #\",\n \"1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE =\",\n \"DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128 * MEBIBYTE\",\n \"you under the Universal Permissive License (UPL) 1.0 as shown\",\n \"Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache\",\n \"All rights reserved. # This software is dual-licensed to you\"\n]","isConversational":false}}},{"rowIdx":781,"cells":{"ngram":{"kind":"list like","value":["next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page, callback=self.parse)","{'class': 'infinite-post'}) for post in posts: try: yield { 'image_url':","Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class","= 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ]","post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', }","soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for","} except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if","{ 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source':","'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass","title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class':","soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield {","'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts:","BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls","start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): #","bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls =","response, **kwargs): # extracting data - link, image, title, excerpt","BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in","data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml')","image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li',","'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next","name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com',","'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'),","= [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting","[ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data","'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo',","'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except","scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo'","post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a',","pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page,","parse(self, response, **kwargs): # extracting data - link, image, title,","allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self,","AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield","MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name","post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page","# extracting data - link, image, title, excerpt soup =","yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(),","for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider):","= soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield","try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt':","class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls =","- link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts","except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page:","from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls","= BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post","import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com']","posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try:","['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs):","= ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response,","link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts =","for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link':","MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [","def parse(self, response, **kwargs): # extracting data - link, image,","posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'),","in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title':","'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page =","# Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup","'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data -","'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href')","import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name =","post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError:","**kwargs): # extracting data - link, image, title, excerpt soup","'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def","excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'})","post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'),","extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body,","] def parse(self, response, **kwargs): # extracting data - link,","<filename>scraper/news/spiders/millardayo.py # Spider for MillardAyo.com import scrapy from bs4 import"],"string":"[\n \"next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page, callback=self.parse)\",\n \"{'class': 'infinite-post'}) for post in posts: try: yield { 'image_url':\",\n \"Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class\",\n \"= 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ]\",\n \"post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', }\",\n \"soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for\",\n \"} except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if\",\n \"{ 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source':\",\n \"'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass\",\n \"title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class':\",\n \"soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield {\",\n \"'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts:\",\n \"BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls\",\n \"start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): #\",\n \"bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls =\",\n \"response, **kwargs): # extracting data - link, image, title, excerpt\",\n \"BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in\",\n \"data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml')\",\n \"image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li',\",\n \"'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next\",\n \"name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com',\",\n \"'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'),\",\n \"= [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting\",\n \"[ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data\",\n \"'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo',\",\n \"'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except\",\n \"scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo'\",\n \"post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a',\",\n \"pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page,\",\n \"parse(self, response, **kwargs): # extracting data - link, image, title,\",\n \"allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self,\",\n \"AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield\",\n \"MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name\",\n \"post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page\",\n \"# extracting data - link, image, title, excerpt soup =\",\n \"yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(),\",\n \"for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider):\",\n \"= soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield\",\n \"try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt':\",\n \"class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls =\",\n \"- link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts\",\n \"except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page:\",\n \"from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls\",\n \"= BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post\",\n \"import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com']\",\n \"posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try:\",\n \"['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs):\",\n \"= ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response,\",\n \"link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts =\",\n \"for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link':\",\n \"MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [\",\n \"def parse(self, response, **kwargs): # extracting data - link, image,\",\n \"posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'),\",\n \"in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title':\",\n \"'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page =\",\n \"# Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup\",\n \"'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data -\",\n \"'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href')\",\n \"import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name =\",\n \"post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError:\",\n \"**kwargs): # extracting data - link, image, title, excerpt soup\",\n \"'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def\",\n \"excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'})\",\n \"post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'),\",\n \"extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body,\",\n \"] def parse(self, response, **kwargs): # extracting data - link,\",\n \"<filename>scraper/news/spiders/millardayo.py # Spider for MillardAyo.com import scrapy from bs4 import\"\n]","isConversational":false}}},{"rowIdx":782,"cells":{"ngram":{"kind":"list like","value":["return ( pcoll | beam.Filter( lambda elem, target: elem <=","import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline","the License. # # pytype: skip-file from __future__ import absolute_import","apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import","return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return","to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return","2 == 0 else 1, 2) typed_col1 = col1 |","type=int, help='port on which to serve the job api') options","return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return","2.0 # (the \"License\"); you may not use this file","None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ |","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn(","2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def","from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api","s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x +","if elem % 2 == 0 else 1, 2) typed_col1","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform):","to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context):","pcoll | beam.Partition( lambda elem, n: 0 if elem %","# # pytype: skip-file from __future__ import absolute_import import argparse","def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","= \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN =","class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >>","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","= None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None)","str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte):","def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class","to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform()","def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def","CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll","from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload()","requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking","x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def","GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey()","b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level -","pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count',","<= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8'))","transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__)","= \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN =","return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return","- 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform(","StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","import sys import typing import grpc from past.builtins import unicode","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes)","CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload","return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","sys import typing import grpc from past.builtins import unicode import","def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload =","s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def","PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level =","unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def","unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","= StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in","def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv):","unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def","unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","under the License is distributed on an \"AS IS\" BASIS,","ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data'])","def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level,","return pcoll | beam.Map(lambda x, s: x + s, self._payload)","beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start()","beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int)","License for the specific language governing permissions and # limitations","distributed with # this work for additional information regarding copyright","elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than',","information regarding copyright ownership. # The ASF licenses this file","[\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion","expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x:","| beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context):","@ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 =","unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def","signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__","x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return","return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level","PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return {","CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element","= col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1':","} def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter(","def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 =","limitations under the License. # # pytype: skip-file from __future__","\"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\"","from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external","def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int])","x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod","def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform):","= pcoll | beam.Partition( lambda elem, n: 0 if elem","and # limitations under the License. # # pytype: skip-file","FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload","ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an","import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder","typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1,","ownership. # The ASF licenses this file to You under","running # external transform test cases. See external_test.py for details.","ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from","= \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN =","unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls):","software # distributed under the License is distributed on an","with # this work for additional information regarding copyright ownership.","bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def","return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return","None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int)","import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service","beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter(","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN,","return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","@ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\","= p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'),","argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve","import argparse import logging import signal import sys import typing","compliance with # the License. You may obtain a copy","[(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\","licenses this file to You under the Apache License, Version","to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN,","s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda","cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if","TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN","process(self, element): (k, v) = element return [(k, v['col1'] +","0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x:","def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self,","from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This","beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode),","None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload","return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN,","and example ptransforms for running # external transform test cases.","TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN","expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from","return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x,","import grpc from past.builtins import unicode import apache_beam as beam","def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'],","# The ASF licenses this file to You under the","self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes)","\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN,","expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem,","{'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None","beam.Partition( lambda elem, n: 0 if elem % 2 ==","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class","\"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d',","= argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to","OF ANY KIND, either express or implied. # See the","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","ANY KIND, either express or implied. # See the License","(ASF) under one or more # contributor license agreements. See","use this file except in compliance with # the License.","See the License for the specific language governing permissions and","# pytype: skip-file from __future__ import absolute_import import argparse import","coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v","CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self,","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","for the specific language governing permissions and # limitations under","to in writing, software # distributed under the License is","class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int)","@ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload =","return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN,","test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN","# See the License for the specific language governing permissions","\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN,","@ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload =","beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) |","language governing permissions and # limitations under the License. #","additional information regarding copyright ownership. # The ASF licenses this","pytype: skip-file from __future__ import absolute_import import argparse import logging","or agreed to in writing, software # distributed under the","x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return","} server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion","return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll","required by applicable law or agreed to in writing, software","typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def","\"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\"","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN","typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod","return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context):","parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\",","copyright ownership. # The ASF licenses this file to You","from __future__ import absolute_import import argparse import logging import signal","def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload,","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN,","expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self,","CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll","unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self,","= payload def expand(self, pcoll): return pcoll | 'TestLabel' >>","% 2 == 0 else 1, 2) typed_col1 = col1","= \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN =","License, Version 2.0 # (the \"License\"); you may not use","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq',","import signal import sys import typing import grpc from past.builtins","__init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll","may not use this file except in compliance with #","payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda","expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self,","'--port', type=int, help='port on which to serve the job api')","agreed to in writing, software # distributed under the License","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class","which to serve the job api') options = parser.parse_args() global","to the Apache Software Foundation (ASF) under one or more","import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc","_LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN","distributed under the License is distributed on an \"AS IS\"","pcoll): return pcoll | beam.Map(lambda x, s: x + s,","unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform):","== 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda","expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() |","pcoll | beam.Map(lambda x, s: x + s, self._payload) def","element): (k, v) = element return [(k, v['col1'] + v['col2'])]","# This script provides an expansion service and example ptransforms","int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def","n: 0 if elem % 2 == 0 else 1,","{'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN,","+ s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod","beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod","under the Apache License, Version 2.0 # (the \"License\"); you","# the License. You may obtain a copy of the","express or implied. # See the License for the specific","payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map(","'{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload()","this work for additional information regarding copyright ownership. # The","Licensed to the Apache Software Foundation (ASF) under one or","| combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def","unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level):","pcoll): return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int,","unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll):","None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def","to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):","'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a,","writing, software # distributed under the License is distributed on","from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners","you may not use this file except in compliance with","import logging import signal import sys import typing import grpc","target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return (","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN,","CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode,","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform):","p): if self._level <= 2: return p | beam.Create([1]) else:","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload',","the License. You may obtain a copy of the License","beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self,","@ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k,","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None)","{ k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server","level def expand(self, p): if self._level <= 2: return p","@staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload","typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def","return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii')))","def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform,","CONDITIONS OF ANY KIND, either express or implied. # See","Version 2.0 # (the \"License\"); you may not use this","= \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN =","0 if elem % 2 == 0 else 1, 2)","unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self,","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii')","@ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() |","return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None)","| beam.Partition( lambda elem, n: 0 if elem % 2","ptransforms for running # external transform test cases. See external_test.py","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None)","@beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def","'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b =","pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s,","from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability","skip-file from __future__ import absolute_import import argparse import logging import","down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument(","as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions","None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement()","beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter(","<= 2: return p | beam.Create([1]) else: a = p","unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform):","payload): self._payload = payload def expand(self, pcoll): return pcoll |","b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib',","%d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread","payload): self._payload = payload def expand(self, pcoll): return ( pcoll","TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform()","unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def","cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser","TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform()","payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k,","- 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults())","return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return","(the \"License\"); you may not use this file except in","import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine","self._level = level def expand(self, p): if self._level <= 2:","OR CONDITIONS OF ANY KIND, either express or implied. #","v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame):","cleanup) # blocking main thread forever. signal.pause() if __name__ ==","parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return {","v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\ |","1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib',","the License is distributed on an \"AS IS\" BASIS, #","expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) #","class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def","as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder","from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor","pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload,","server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])),","pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return","= ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload)","\"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\"","beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side']","pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return","from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform):","col1, col2 = pcoll | beam.Partition( lambda elem, n: 0","return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return","return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii'))","pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), }","| beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii')","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None)","return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod","more # contributor license agreements. See the NOTICE file distributed","| beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def","server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM,","def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port","typing import grpc from past.builtins import unicode import apache_beam as","self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None)","pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n:","law or agreed to in writing, software # distributed under","= element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll):","signal import sys import typing import grpc from past.builtins import","ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor #","import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders","unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll):","Apache Software Foundation (ASF) under one or more # contributor","None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ |","self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None)","api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server(","\"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\"","| beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def","import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor","v) = element return [(k, v['col1'] + v['col2'])] def expand(self,","import UnboundedThreadPoolExecutor # This script provides an expansion service and","expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return","the NOTICE file distributed with # this work for additional","'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def","\"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at","p | beam.Create([1]) else: a = p | 'A' >>","to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port',","= p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'),","col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda","signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause()","may obtain a copy of the License at # #","details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\"","the Apache License, Version 2.0 # (the \"License\"); you may","| beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def","to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x))","level): self._level = level def expand(self, p): if self._level <=","1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2","return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() }","= logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN =","logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\"","return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def","def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x","# (the \"License\"); you may not use this file except","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self,","= grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server)","to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform,","payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down","expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def","# Licensed to the Apache Software Foundation (ASF) under one","else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int)","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN,","This script provides an expansion service and example ptransforms for","self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel'","external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN","{ 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s:","in compliance with # the License. You may obtain a","unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self,","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","_LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT,","\\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self,","expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context):","serve the job api') options = parser.parse_args() global server server","at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main","v['col2'])] def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\","def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context):","return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None","to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context):","x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN,","license agreements. See the NOTICE file distributed with # this","'1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def","def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","self._payload = payload def expand(self, pcoll): return ( pcoll |","CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values()","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","@ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll |","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class","return p | beam.Create([1]) else: a = p | 'A'","contributor license agreements. See the NOTICE file distributed with #","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod","pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod","def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform,","bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def","'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten()","payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def","example ptransforms for running # external transform test cases. See","PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):","beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod","| 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","| beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self,","FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder()","payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k:","__future__ import absolute_import import argparse import logging import signal import","argparse import logging import signal import sys import typing import","unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self,","file except in compliance with # the License. You may","parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which","PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for","server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.')","this file except in compliance with # the License. You","apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script","| beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x:","beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter(","TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count',","expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p',","unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def","def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten()","apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service","server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\",","@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None)","unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def","beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod","import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload","| 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return","the job api') options = parser.parse_args() global server server =","class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types(","apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import","provides an expansion service and example ptransforms for running #","Apache License, Version 2.0 # (the \"License\"); you may not","x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2}","expand(self, p): if self._level <= 2: return p | beam.Create([1])","import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides","= \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None)","+ v['col2'])] def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey()","in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting","return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]])","= col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 |","TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN","TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return","element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return","for running # external transform test cases. See external_test.py for","or implied. # See the License for the specific language","options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer(","expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target:","help='port on which to serve the job api') options =","unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):","FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p):","KIND, either express or implied. # See the License for","specific language governing permissions and # limitations under the License.","return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload):","= level def expand(self, p): if self._level <= 2: return","grpc from past.builtins import unicode import apache_beam as beam import","expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening","\"License\"); you may not use this file except in compliance","except in compliance with # the License. You may obtain","class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,",">> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b)","\"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class","def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return","((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return","permissions and # limitations under the License. # # pytype:","@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode)","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN,","beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from","file to You under the Apache License, Version 2.0 #","x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] |","lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context):","FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):","to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload,","unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder","apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import","return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll):","typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2","unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll):","regarding copyright ownership. # The ASF licenses this file to","beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self,","under one or more # contributor license agreements. See the","to serve the job api') options = parser.parse_args() global server","pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self,","'-p', '--port', type=int, help='port on which to serve the job","(k, v) = element return [(k, v['col1'] + v['col2'])] def","NOTICE file distributed with # this work for additional information","elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return","TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform):","combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from","def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\ |","unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def","'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context):","int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter(","unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser =","__init__(self, payload): self._payload = payload def expand(self, pcoll): return (","def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda","def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem,","service and example ptransforms for running # external transform test","return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder =","global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\",","= payload def expand(self, pcoll): return ( pcoll | beam.Filter(","return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None","col2 = pcoll | beam.Partition( lambda elem, n: 0 if","| beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform(","\"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests","def expand(self, p): if self._level <= 2: return p |","# # Unless required by applicable law or agreed to","PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from","See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\"","beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p |","options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever.","def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port))","file distributed with # this work for additional information regarding","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","2: return p | beam.Create([1]) else: a = p |","self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda","server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup)","PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition(","for additional information regarding copyright ownership. # The ASF licenses","if self._level <= 2: return p | beam.Create([1]) else: a","# limitations under the License. # # pytype: skip-file from","ASF licenses this file to You under the Apache License,","from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion","for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN =","__init__(self, level): self._level = level def expand(self, p): if self._level","Software Foundation (ASF) under one or more # contributor license","| beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton(","TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform()","under the License. # # pytype: skip-file from __future__ import","apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import","implied. # See the License for the specific language governing","coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None","beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context):","to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod","@ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\","expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level","main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on","pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN,","on which to serve the job api') options = parser.parse_args()","by applicable law or agreed to in writing, software #","not use this file except in compliance with # the","import typing import grpc from past.builtins import unicode import apache_beam","MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll","= payload def expand(self, pcoll): return pcoll | beam.Map(lambda x,","def __init__(self, level): self._level = level def expand(self, p): if","| beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context):","unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self,","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class","PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload =","class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,","return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1,","b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib',","unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return","the Apache Software Foundation (ASF) under one or more #","\"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\"","\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod","apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import","def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def","unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return","_LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser()","unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context):","external transform test cases. See external_test.py for details. _LOGGER =","pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def","# # Licensed to the Apache Software Foundation (ASF) under","FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2","class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def","GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element):","'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class","pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def","job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor())","UnboundedThreadPoolExecutor # This script provides an expansion service and example","License. # # pytype: skip-file from __future__ import absolute_import import","'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B'","from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None)","for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup)","absolute_import import argparse import logging import signal import sys import","apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import","unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload,","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) =","script provides an expansion service and example ptransforms for running","Unless required by applicable law or agreed to in writing,","cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN =","elem, n: 0 if elem % 2 == 0 else","'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN,","unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self,","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform):","def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","the specific language governing permissions and # limitations under the","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes)","TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform()","unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self,","str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >>","beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from","for k, v in payload.configuration.items() } server = None def","applicable law or agreed to in writing, software # distributed","None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll","class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2'])","payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self,","None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel'","= \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return","| beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class","k, v in payload.configuration.items() } server = None def cleanup(unused_signum,","unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","elem % 2 == 0 else 1, 2) typed_col1 =","# blocking main thread forever. signal.pause() if __name__ == '__main__':","# contributor license agreements. See the NOTICE file distributed with","ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k,","return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload):","import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform","# this work for additional information regarding copyright ownership. #","in writing, software # distributed under the License is distributed","governing permissions and # limitations under the License. # #","unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types(","with # the License. You may obtain a copy of","MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) |","self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform,","lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder(","| 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b","this file to You under the Apache License, Version 2.0","s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload',","unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll):","unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn):","@ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main':","def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform):","server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int,","expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return","TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll):","return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context):","apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import",">> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return","unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def","payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self,","License is distributed on an \"AS IS\" BASIS, # WITHOUT","parser.add_argument( '-p', '--port', type=int, help='port on which to serve the","agreements. See the NOTICE file distributed with # this work","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN,","expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x +","Foundation (ASF) under one or more # contributor license agreements.","@ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level","else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level","logging import signal import sys import typing import grpc from","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None","apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import","\"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll","PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):","TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN","( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8'))",">> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p","# external transform test cases. See external_test.py for details. _LOGGER","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform):","| beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class","class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return","to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","the License for the specific language governing permissions and #","@ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll |","See the NOTICE file distributed with # this work for","either express or implied. # See the License for the","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform):","to You under the Apache License, Version 2.0 # (the","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","+ x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod","| beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side':","( pcoll | beam.Filter( lambda elem, target: elem <= target,","or more # contributor license agreements. See the NOTICE file","unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self,","str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() |","pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0]))))","\"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self,","(pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x +","'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x","@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class","You under the Apache License, Version 2.0 # (the \"License\");","def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x:","def process(self, element): (k, v) = element return [(k, v['col1']","a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level -","beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode),","lambda elem, n: 0 if elem % 2 == 0","blocking main thread forever. signal.pause() if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO)","unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class","from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def","unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self,","from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def","self._level <= 2: return p | beam.Create([1]) else: a =","unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v)","return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","expansion service and example ptransforms for running # external transform","| 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self,","pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN,","The ASF licenses this file to You under the Apache","def __init__(self, payload): self._payload = payload def expand(self, pcoll): return","x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None","unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from","pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self,","p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer())","return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):","import absolute_import import argparse import logging import signal import sys","x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context):","x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data':","| beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def","x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0':","StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items()","| beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def","return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,","TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform()","# distributed under the License is distributed on an \"AS","# Unless required by applicable law or agreed to in","= parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions(","typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter(","unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload):","beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for","p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer())","main thread forever. signal.pause() if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO) main(sys.argv)","return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self,","@ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload","License. You may obtain a copy of the License at","beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform,","pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda","You may obtain a copy of the License at #","TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform()","beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib',","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform):","level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte)","'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def","combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter(","return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload","one or more # contributor license agreements. See the NOTICE","work for additional information regarding copyright ownership. # The ASF","server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port)","+ s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x","typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter(",">> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def","past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as","= \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def","payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s:","from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms","'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform()","class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll |","an expansion service and example ptransforms for running # external","k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server ="],"string":"[\n \"return ( pcoll | beam.Filter( lambda elem, target: elem <=\",\n \"import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline\",\n \"the License. # # pytype: skip-file from __future__ import absolute_import\",\n \"apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import\",\n \"return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return\",\n \"2 == 0 else 1, 2) typed_col1 = col1 |\",\n \"type=int, help='port on which to serve the job api') options\",\n \"return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"2.0 # (the \\\"License\\\"); you may not use this file\",\n \"None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ |\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn(\",\n \"2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def\",\n \"from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api\",\n \"s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x +\",\n \"if elem % 2 == 0 else 1, 2) typed_col1\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform):\",\n \"to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context):\",\n \"pcoll | beam.Partition( lambda elem, n: 0 if elem %\",\n \"# # pytype: skip-file from __future__ import absolute_import import argparse\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"= \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN =\",\n \"class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >>\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"= None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None)\",\n \"str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte):\",\n \"def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class\",\n \"to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform()\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def\",\n \"CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll\",\n \"from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload()\",\n \"requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking\",\n \"x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def\",\n \"GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey()\",\n \"b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level -\",\n \"pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count',\",\n \"<= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8'))\",\n \"transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__)\",\n \"= \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN =\",\n \"return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return\",\n \"- 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform(\",\n \"StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"import sys import typing import grpc from past.builtins import unicode\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes)\",\n \"CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload\",\n \"return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"sys import typing import grpc from past.builtins import unicode import\",\n \"def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload =\",\n \"s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def\",\n \"PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level =\",\n \"unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def\",\n \"unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"= StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in\",\n \"def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv):\",\n \"unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def\",\n \"unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data'])\",\n \"def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level,\",\n \"return pcoll | beam.Map(lambda x, s: x + s, self._payload)\",\n \"beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start()\",\n \"beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int)\",\n \"License for the specific language governing permissions and # limitations\",\n \"distributed with # this work for additional information regarding copyright\",\n \"elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than',\",\n \"information regarding copyright ownership. # The ASF licenses this file\",\n \"[\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion\",\n \"expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x:\",\n \"| beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context):\",\n \"@ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 =\",\n \"unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def\",\n \"signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__\",\n \"x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return\",\n \"return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level\",\n \"PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return {\",\n \"CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element\",\n \"= col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1':\",\n \"} def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter(\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 =\",\n \"limitations under the License. # # pytype: skip-file from __future__\",\n \"\\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\"\",\n \"from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external\",\n \"def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int])\",\n \"x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod\",\n \"def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform):\",\n \"= pcoll | beam.Partition( lambda elem, n: 0 if elem\",\n \"and # limitations under the License. # # pytype: skip-file\",\n \"FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload\",\n \"ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an\",\n \"import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder\",\n \"typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1,\",\n \"ownership. # The ASF licenses this file to You under\",\n \"running # external transform test cases. See external_test.py for details.\",\n \"ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from\",\n \"= \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN =\",\n \"unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls):\",\n \"software # distributed under the License is distributed on an\",\n \"with # this work for additional information regarding copyright ownership.\",\n \"bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def\",\n \"return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int)\",\n \"import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service\",\n \"beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter(\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN,\",\n \"return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"@ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\\",\n \"= p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'),\",\n \"argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve\",\n \"import argparse import logging import signal import sys import typing\",\n \"compliance with # the License. You may obtain a copy\",\n \"[(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\\\\",\n \"licenses this file to You under the Apache License, Version\",\n \"to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN,\",\n \"s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda\",\n \"cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if\",\n \"TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN\",\n \"process(self, element): (k, v) = element return [(k, v['col1'] +\",\n \"0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x:\",\n \"def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self,\",\n \"from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This\",\n \"beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode),\",\n \"None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload\",\n \"return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN,\",\n \"and example ptransforms for running # external transform test cases.\",\n \"TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN\",\n \"expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from\",\n \"return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x,\",\n \"import grpc from past.builtins import unicode import apache_beam as beam\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'],\",\n \"# The ASF licenses this file to You under the\",\n \"self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes)\",\n \"\\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN,\",\n \"expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem,\",\n \"{'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None\",\n \"beam.Partition( lambda elem, n: 0 if elem % 2 ==\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class\",\n \"\\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d',\",\n \"= argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to\",\n \"OF ANY KIND, either express or implied. # See the\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"ANY KIND, either express or implied. # See the License\",\n \"(ASF) under one or more # contributor license agreements. See\",\n \"use this file except in compliance with # the License.\",\n \"See the License for the specific language governing permissions and\",\n \"# pytype: skip-file from __future__ import absolute_import import argparse import\",\n \"coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v\",\n \"CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self,\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"for the specific language governing permissions and # limitations under\",\n \"to in writing, software # distributed under the License is\",\n \"class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int)\",\n \"@ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload =\",\n \"return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN,\",\n \"test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN\",\n \"# See the License for the specific language governing permissions\",\n \"\\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN,\",\n \"@ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload =\",\n \"beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) |\",\n \"language governing permissions and # limitations under the License. #\",\n \"additional information regarding copyright ownership. # The ASF licenses this\",\n \"pytype: skip-file from __future__ import absolute_import import argparse import logging\",\n \"or agreed to in writing, software # distributed under the\",\n \"x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return\",\n \"} server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion\",\n \"return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll\",\n \"required by applicable law or agreed to in writing, software\",\n \"typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def\",\n \"\\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\"\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN\",\n \"typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod\",\n \"return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context):\",\n \"parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\",\",\n \"copyright ownership. # The ASF licenses this file to You\",\n \"from __future__ import absolute_import import argparse import logging import signal\",\n \"def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload,\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN,\",\n \"expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self,\",\n \"CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll\",\n \"unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self,\",\n \"= payload def expand(self, pcoll): return pcoll | 'TestLabel' >>\",\n \"% 2 == 0 else 1, 2) typed_col1 = col1\",\n \"= \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN =\",\n \"License, Version 2.0 # (the \\\"License\\\"); you may not use\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq',\",\n \"import signal import sys import typing import grpc from past.builtins\",\n \"__init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll\",\n \"may not use this file except in compliance with #\",\n \"payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda\",\n \"expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self,\",\n \"'--port', type=int, help='port on which to serve the job api')\",\n \"agreed to in writing, software # distributed under the License\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class\",\n \"which to serve the job api') options = parser.parse_args() global\",\n \"to the Apache Software Foundation (ASF) under one or more\",\n \"import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc\",\n \"_LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN\",\n \"distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"pcoll): return pcoll | beam.Map(lambda x, s: x + s,\",\n \"unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform):\",\n \"== 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda\",\n \"expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() |\",\n \"pcoll | beam.Map(lambda x, s: x + s, self._payload) def\",\n \"element): (k, v) = element return [(k, v['col1'] + v['col2'])]\",\n \"# This script provides an expansion service and example ptransforms\",\n \"int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def\",\n \"n: 0 if elem % 2 == 0 else 1,\",\n \"{'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN,\",\n \"+ s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod\",\n \"beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod\",\n \"under the Apache License, Version 2.0 # (the \\\"License\\\"); you\",\n \"# the License. You may obtain a copy of the\",\n \"express or implied. # See the License for the specific\",\n \"payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map(\",\n \"'{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload()\",\n \"this work for additional information regarding copyright ownership. # The\",\n \"Licensed to the Apache Software Foundation (ASF) under one or\",\n \"| combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def\",\n \"unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level):\",\n \"pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int,\",\n \"unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def\",\n \"to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):\",\n \"'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a,\",\n \"writing, software # distributed under the License is distributed on\",\n \"from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners\",\n \"you may not use this file except in compliance with\",\n \"import logging import signal import sys import typing import grpc\",\n \"target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return (\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN,\",\n \"CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode,\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform):\",\n \"p): if self._level <= 2: return p | beam.Create([1]) else:\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload',\",\n \"the License. You may obtain a copy of the License\",\n \"beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self,\",\n \"@ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k,\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None)\",\n \"{ k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server\",\n \"level def expand(self, p): if self._level <= 2: return p\",\n \"@staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload\",\n \"typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def\",\n \"return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii')))\",\n \"def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"Version 2.0 # (the \\\"License\\\"); you may not use this\",\n \"= \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN =\",\n \"0 if elem % 2 == 0 else 1, 2)\",\n \"unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self,\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii')\",\n \"@ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() |\",\n \"return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None)\",\n \"| beam.Partition( lambda elem, n: 0 if elem % 2\",\n \"ptransforms for running # external transform test cases. See external_test.py\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None)\",\n \"@beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def\",\n \"'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b =\",\n \"pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s,\",\n \"from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability\",\n \"skip-file from __future__ import absolute_import import argparse import logging import\",\n \"down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument(\",\n \"as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions\",\n \"None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement()\",\n \"beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter(\",\n \"<= 2: return p | beam.Create([1]) else: a = p\",\n \"unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform):\",\n \"payload): self._payload = payload def expand(self, pcoll): return pcoll |\",\n \"b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib',\",\n \"%d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread\",\n \"payload): self._payload = payload def expand(self, pcoll): return ( pcoll\",\n \"TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform()\",\n \"unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def\",\n \"cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser\",\n \"TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform()\",\n \"payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k,\",\n \"- 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults())\",\n \"return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return\",\n \"(the \\\"License\\\"); you may not use this file except in\",\n \"import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine\",\n \"self._level = level def expand(self, p): if self._level <= 2:\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame):\",\n \"cleanup) # blocking main thread forever. signal.pause() if __name__ ==\",\n \"parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return {\",\n \"v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\\\ |\",\n \"1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib',\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) #\",\n \"class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def\",\n \"as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder\",\n \"from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor\",\n \"pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload,\",\n \"server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])),\",\n \"pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return\",\n \"= ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload)\",\n \"\\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\"\",\n \"beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side']\",\n \"pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return\",\n \"from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform):\",\n \"col1, col2 = pcoll | beam.Partition( lambda elem, n: 0\",\n \"return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return\",\n \"return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii'))\",\n \"pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), }\",\n \"| beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii')\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None)\",\n \"return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod\",\n \"more # contributor license agreements. See the NOTICE file distributed\",\n \"| beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def\",\n \"server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM,\",\n \"def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port\",\n \"typing import grpc from past.builtins import unicode import apache_beam as\",\n \"self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None)\",\n \"pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n:\",\n \"law or agreed to in writing, software # distributed under\",\n \"= element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll):\",\n \"signal import sys import typing import grpc from past.builtins import\",\n \"ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor #\",\n \"import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders\",\n \"unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"Apache Software Foundation (ASF) under one or more # contributor\",\n \"None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ |\",\n \"self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None)\",\n \"api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server(\",\n \"\\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\"\",\n \"| beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def\",\n \"import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor\",\n \"v) = element return [(k, v['col1'] + v['col2'])] def expand(self,\",\n \"import UnboundedThreadPoolExecutor # This script provides an expansion service and\",\n \"expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return\",\n \"the NOTICE file distributed with # this work for additional\",\n \"'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def\",\n \"\\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at\",\n \"p | beam.Create([1]) else: a = p | 'A' >>\",\n \"to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port',\",\n \"= p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'),\",\n \"col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda\",\n \"signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause()\",\n \"may obtain a copy of the License at # #\",\n \"details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\"\",\n \"the Apache License, Version 2.0 # (the \\\"License\\\"); you may\",\n \"| beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def\",\n \"to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x))\",\n \"level): self._level = level def expand(self, p): if self._level <=\",\n \"1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2\",\n \"return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() }\",\n \"= logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN =\",\n \"logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\"\",\n \"return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def\",\n \"def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x\",\n \"# (the \\\"License\\\"); you may not use this file except\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self,\",\n \"= grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server)\",\n \"to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform,\",\n \"payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down\",\n \"expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def\",\n \"# Licensed to the Apache Software Foundation (ASF) under one\",\n \"else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int)\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN,\",\n \"This script provides an expansion service and example ptransforms for\",\n \"self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel'\",\n \"external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN\",\n \"{ 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s:\",\n \"in compliance with # the License. You may obtain a\",\n \"unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self,\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"_LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT,\",\n \"\\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self,\",\n \"expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context):\",\n \"serve the job api') options = parser.parse_args() global server server\",\n \"at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main\",\n \"v['col2'])] def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\\",\n \"def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context):\",\n \"return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None\",\n \"to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context):\",\n \"x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN,\",\n \"license agreements. See the NOTICE file distributed with # this\",\n \"'1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"self._payload = payload def expand(self, pcoll): return ( pcoll |\",\n \"CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values()\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"@ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll |\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class\",\n \"return p | beam.Create([1]) else: a = p | 'A'\",\n \"contributor license agreements. See the NOTICE file distributed with #\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod\",\n \"pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod\",\n \"def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform,\",\n \"bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def\",\n \"'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten()\",\n \"payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def\",\n \"example ptransforms for running # external transform test cases. See\",\n \"PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):\",\n \"beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod\",\n \"| 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"| beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self,\",\n \"FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder()\",\n \"payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k:\",\n \"__future__ import absolute_import import argparse import logging import signal import\",\n \"argparse import logging import signal import sys import typing import\",\n \"unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self,\",\n \"file except in compliance with # the License. You may\",\n \"parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which\",\n \"PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for\",\n \"server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.')\",\n \"this file except in compliance with # the License. You\",\n \"apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script\",\n \"| beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x:\",\n \"beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter(\",\n \"TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count',\",\n \"expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p',\",\n \"unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def\",\n \"def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten()\",\n \"apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service\",\n \"server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\",\",\n \"@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None)\",\n \"unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def\",\n \"beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod\",\n \"import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload\",\n \"| 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return\",\n \"the job api') options = parser.parse_args() global server server =\",\n \"class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types(\",\n \"apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import\",\n \"provides an expansion service and example ptransforms for running #\",\n \"Apache License, Version 2.0 # (the \\\"License\\\"); you may not\",\n \"x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2}\",\n \"expand(self, p): if self._level <= 2: return p | beam.Create([1])\",\n \"import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides\",\n \"= \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None)\",\n \"+ v['col2'])] def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey()\",\n \"in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting\",\n \"return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]])\",\n \"= col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 |\",\n \"TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN\",\n \"TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return\",\n \"element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return\",\n \"for running # external transform test cases. See external_test.py for\",\n \"or implied. # See the License for the specific language\",\n \"options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer(\",\n \"expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target:\",\n \"help='port on which to serve the job api') options =\",\n \"unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):\",\n \"FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p):\",\n \"KIND, either express or implied. # See the License for\",\n \"specific language governing permissions and # limitations under the License.\",\n \"return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload):\",\n \"= level def expand(self, p): if self._level <= 2: return\",\n \"grpc from past.builtins import unicode import apache_beam as beam import\",\n \"expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening\",\n \"\\\"License\\\"); you may not use this file except in compliance\",\n \"except in compliance with # the License. You may obtain\",\n \"class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,\",\n \">> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b)\",\n \"\\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class\",\n \"def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return\",\n \"((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return\",\n \"permissions and # limitations under the License. # # pytype:\",\n \"@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode)\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN,\",\n \"beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from\",\n \"file to You under the Apache License, Version 2.0 #\",\n \"x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] |\",\n \"lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context):\",\n \"FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):\",\n \"to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload,\",\n \"unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder\",\n \"apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import\",\n \"return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2\",\n \"unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"regarding copyright ownership. # The ASF licenses this file to\",\n \"beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self,\",\n \"under one or more # contributor license agreements. See the\",\n \"to serve the job api') options = parser.parse_args() global server\",\n \"pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self,\",\n \"'-p', '--port', type=int, help='port on which to serve the job\",\n \"(k, v) = element return [(k, v['col1'] + v['col2'])] def\",\n \"NOTICE file distributed with # this work for additional information\",\n \"elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return\",\n \"TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform):\",\n \"combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from\",\n \"def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ |\",\n \"unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def\",\n \"'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context):\",\n \"int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter(\",\n \"unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser =\",\n \"__init__(self, payload): self._payload = payload def expand(self, pcoll): return (\",\n \"def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda\",\n \"def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem,\",\n \"service and example ptransforms for running # external transform test\",\n \"return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder =\",\n \"global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\",\",\n \"= payload def expand(self, pcoll): return ( pcoll | beam.Filter(\",\n \"return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None\",\n \"col2 = pcoll | beam.Partition( lambda elem, n: 0 if\",\n \"| beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform(\",\n \"\\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests\",\n \"def expand(self, p): if self._level <= 2: return p |\",\n \"# # Unless required by applicable law or agreed to\",\n \"PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from\",\n \"See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\"\",\n \"beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p |\",\n \"options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever.\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port))\",\n \"file distributed with # this work for additional information regarding\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"2: return p | beam.Create([1]) else: a = p |\",\n \"self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda\",\n \"server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup)\",\n \"PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition(\",\n \"for additional information regarding copyright ownership. # The ASF licenses\",\n \"if self._level <= 2: return p | beam.Create([1]) else: a\",\n \"# limitations under the License. # # pytype: skip-file from\",\n \"ASF licenses this file to You under the Apache License,\",\n \"from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion\",\n \"for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN =\",\n \"__init__(self, level): self._level = level def expand(self, p): if self._level\",\n \"Software Foundation (ASF) under one or more # contributor license\",\n \"| beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton(\",\n \"TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform()\",\n \"under the License. # # pytype: skip-file from __future__ import\",\n \"apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import\",\n \"implied. # See the License for the specific language governing\",\n \"coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None\",\n \"beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context):\",\n \"to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod\",\n \"@ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\\",\n \"expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level\",\n \"main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on\",\n \"pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN,\",\n \"on which to serve the job api') options = parser.parse_args()\",\n \"by applicable law or agreed to in writing, software #\",\n \"not use this file except in compliance with # the\",\n \"import typing import grpc from past.builtins import unicode import apache_beam\",\n \"MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll\",\n \"= payload def expand(self, pcoll): return pcoll | beam.Map(lambda x,\",\n \"def __init__(self, level): self._level = level def expand(self, p): if\",\n \"| beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context):\",\n \"unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self,\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class\",\n \"PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload =\",\n \"class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,\",\n \"return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1,\",\n \"b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib',\",\n \"unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return\",\n \"the Apache Software Foundation (ASF) under one or more #\",\n \"\\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\"\",\n \"\\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod\",\n \"apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import\",\n \"def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def\",\n \"unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return\",\n \"_LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser()\",\n \"unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context):\",\n \"external transform test cases. See external_test.py for details. _LOGGER =\",\n \"pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def\",\n \"# # Licensed to the Apache Software Foundation (ASF) under\",\n \"FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2\",\n \"class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def\",\n \"GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element):\",\n \"'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class\",\n \"pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def\",\n \"job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor())\",\n \"UnboundedThreadPoolExecutor # This script provides an expansion service and example\",\n \"License. # # pytype: skip-file from __future__ import absolute_import import\",\n \"'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B'\",\n \"from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None)\",\n \"for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup)\",\n \"absolute_import import argparse import logging import signal import sys import\",\n \"apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import\",\n \"unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload,\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) =\",\n \"script provides an expansion service and example ptransforms for running\",\n \"Unless required by applicable law or agreed to in writing,\",\n \"cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN =\",\n \"elem, n: 0 if elem % 2 == 0 else\",\n \"'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN,\",\n \"unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self,\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform):\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"the specific language governing permissions and # limitations under the\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes)\",\n \"TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform()\",\n \"unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self,\",\n \"str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >>\",\n \"beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from\",\n \"for k, v in payload.configuration.items() } server = None def\",\n \"applicable law or agreed to in writing, software # distributed\",\n \"None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll\",\n \"class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2'])\",\n \"payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self,\",\n \"None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel'\",\n \"= \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"| beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class\",\n \"k, v in payload.configuration.items() } server = None def cleanup(unused_signum,\",\n \"unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"elem % 2 == 0 else 1, 2) typed_col1 =\",\n \"# blocking main thread forever. signal.pause() if __name__ == '__main__':\",\n \"# contributor license agreements. See the NOTICE file distributed with\",\n \"ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k,\",\n \"return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload):\",\n \"import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform\",\n \"# this work for additional information regarding copyright ownership. #\",\n \"in writing, software # distributed under the License is distributed\",\n \"governing permissions and # limitations under the License. # #\",\n \"unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types(\",\n \"with # the License. You may obtain a copy of\",\n \"MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) |\",\n \"self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform,\",\n \"lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder(\",\n \"| 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b\",\n \"this file to You under the Apache License, Version 2.0\",\n \"s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload',\",\n \"unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn):\",\n \"@ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main':\",\n \"def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform):\",\n \"server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int,\",\n \"expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return\",\n \"TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context):\",\n \"apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import\",\n \">> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return\",\n \"unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def\",\n \"payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self,\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"parser.add_argument( '-p', '--port', type=int, help='port on which to serve the\",\n \"agreements. See the NOTICE file distributed with # this work\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN,\",\n \"expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x +\",\n \"Foundation (ASF) under one or more # contributor license agreements.\",\n \"@ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level\",\n \"else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level\",\n \"logging import signal import sys import typing import grpc from\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None\",\n \"apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import\",\n \"\\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll\",\n \"PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):\",\n \"TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN\",\n \"( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8'))\",\n \">> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p\",\n \"# external transform test cases. See external_test.py for details. _LOGGER\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform):\",\n \"| beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class\",\n \"class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return\",\n \"to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"the License for the specific language governing permissions and #\",\n \"@ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll |\",\n \"See the NOTICE file distributed with # this work for\",\n \"either express or implied. # See the License for the\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform):\",\n \"to You under the Apache License, Version 2.0 # (the\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"+ x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod\",\n \"| beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side':\",\n \"( pcoll | beam.Filter( lambda elem, target: elem <= target,\",\n \"or more # contributor license agreements. See the NOTICE file\",\n \"unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self,\",\n \"str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() |\",\n \"pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0]))))\",\n \"\\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self,\",\n \"(pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x +\",\n \"'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x\",\n \"@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class\",\n \"You under the Apache License, Version 2.0 # (the \\\"License\\\");\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x:\",\n \"def process(self, element): (k, v) = element return [(k, v['col1']\",\n \"a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level -\",\n \"beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode),\",\n \"lambda elem, n: 0 if elem % 2 == 0\",\n \"blocking main thread forever. signal.pause() if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO)\",\n \"unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class\",\n \"from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def\",\n \"unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self,\",\n \"from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def\",\n \"self._level <= 2: return p | beam.Create([1]) else: a =\",\n \"unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v)\",\n \"return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"expansion service and example ptransforms for running # external transform\",\n \"| 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self,\",\n \"pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN,\",\n \"The ASF licenses this file to You under the Apache\",\n \"def __init__(self, payload): self._payload = payload def expand(self, pcoll): return\",\n \"x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None\",\n \"unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from\",\n \"pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self,\",\n \"p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer())\",\n \"return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):\",\n \"import absolute_import import argparse import logging import signal import sys\",\n \"x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context):\",\n \"x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data':\",\n \"| beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def\",\n \"x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0':\",\n \"StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items()\",\n \"| beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def\",\n \"return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,\",\n \"TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform()\",\n \"# distributed under the License is distributed on an \\\"AS\",\n \"# Unless required by applicable law or agreed to in\",\n \"= parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions(\",\n \"typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter(\",\n \"unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload):\",\n \"beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for\",\n \"p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer())\",\n \"main thread forever. signal.pause() if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO) main(sys.argv)\",\n \"return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self,\",\n \"@ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload\",\n \"License. You may obtain a copy of the License at\",\n \"beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform,\",\n \"pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda\",\n \"You may obtain a copy of the License at #\",\n \"TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform()\",\n \"beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib',\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform):\",\n \"level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte)\",\n \"'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def\",\n \"combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter(\",\n \"return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload\",\n \"one or more # contributor license agreements. See the NOTICE\",\n \"work for additional information regarding copyright ownership. # The ASF\",\n \"server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port)\",\n \"+ s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x\",\n \"typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter(\",\n \">> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def\",\n \"past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as\",\n \"= \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def\",\n \"payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s:\",\n \"from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms\",\n \"'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform()\",\n \"class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll |\",\n \"an expansion service and example ptransforms for running # external\",\n \"k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server =\"\n]","isConversational":false}}},{"rowIdx":783,"cells":{"ngram":{"kind":"list like","value":["sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI))","create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from","sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import","sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import","sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False,","<reponame>RunnerPro/RunnerProApi from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from","scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session","import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session = scoped_session(Session)","from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session","settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session =","import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker","import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False,","import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI","from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm","from sqlalchemy.orm import sessionmaker from settings import DB_URI Session =","from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings"],"string":"[\n \"sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI))\",\n \"create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from\",\n \"sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import\",\n \"sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import\",\n \"sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False,\",\n \"<reponame>RunnerPro/RunnerProApi from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from\",\n \"scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session\",\n \"import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session = scoped_session(Session)\",\n \"from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session\",\n \"settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session =\",\n \"import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker\",\n \"import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False,\",\n \"import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI\",\n \"from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm\",\n \"from sqlalchemy.orm import sessionmaker from settings import DB_URI Session =\",\n \"from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings\"\n]","isConversational":false}}},{"rowIdx":784,"cells":{"ngram":{"kind":"list like","value":["= tvm.gpu(0).compute_version else: if target is None or \"arch\" not","'-arch=sm_xx' to your target.\" ) return False compute_version = target.attrs[\"arch\"]","------- path : str Path to libdevice. \"\"\" cuda_path =","to invoke nvcc compiler in the system\"\"\" from __future__ import","Path to cuda root. Returns ------- version : float The","OF ANY # KIND, either express or implied. See the","ValueError(\"target must be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\")","be used to tell nvcc where to find the c++","f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except","py_str(out) if proc.returncode == 0: release_line = [l for l","raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to","= [s.strip() for s in release_line.split(\",\")] release_version = [f[1:] for","a GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if","compute capability or not Parameters ---------- compute_version : str, optional","more contributor license agreements. See the NOTICE file # distributed","major and minor version Parameters ---------- compute_version : str compute","cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0:","str\") cmd += [\"-o\", file_target] cmd += [temp_code] # NOTE:","fn if selected_path is None: raise RuntimeError(\"Cannot find libdevice for","None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0,","[s.strip() for s in release_line.split(\",\")] release_version = [f[1:] for f","------- major : int major version number minor : int","Apache Software Foundation (ASF) under one # or more contributor","in three different places, first in the target attributes, then","target.attrs[\"arch\"] # Compute version will be in the form \"sm_{major}{minor}\"","16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major ==","or GPU detected.\" \"Try specifying it by adding '-arch=sm_xx' to","True if major >= 6: return True return False def","or not Parameters ---------- compute_version : str compute capability of","WARRANTIES OR CONDITIONS OF ANY # KIND, either express or","def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path","2.0 (the # \"License\"); you may not use this file","os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\") def","major + \".\" + minor # 2. Global scope from","the cubin \"\"\" temp = utils.tempdir() if target not in","------- version : float The cuda version \"\"\" version_file_path =","get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0,","'-arch=sm_xx' to your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse","version parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16","s in release_line.split(\",\")] release_version = [f[1:] for f in release_fields","def have_bf16(compute_version): \"\"\"Either bf16 support is provided in the compute","else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver","and we cannot detect it from env\") file_target = path_target","minor : int minor version number \"\"\" split_ver = compute_version.split(\".\")","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","just in case it is not in the path. On","msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data","to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\")","selected_path is None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch))","% target) with open(temp_code, \"w\") as out_file: out_file.write(code) if arch","GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp","not passed, and we cannot detect it from env\") file_target","specific language governing permissions and limitations # under the License.","out = py_str(out) if proc.returncode == 0: release_line = [l","NOTE: ccbin option can be used to tell nvcc where","Parameters ---------- compute_version : str, optional compute capability of a","ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver","if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else:","under the License is distributed on an # \"AS IS\"","cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" %","minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No","if target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major,","BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either","target is None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore","AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1]","= parse_compute_version(compute_version) if major >= 7: return True return False","be str or list of str\") cmd += [\"-o\", file_target]","the target attributes, then the global scope, and finally the","your target.\" ) return False compute_version = target.attrs[\"arch\"] # Compute","= [f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor =","\"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #","[\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd += arch","warnings.warn( \"Tensorcore will be disabled due to no CUDA architecture","1. Target if target: if \"arch\" in target.attrs: compute_version =","arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy)","= AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor # 3.","if compute_version isn't specified. \"\"\" if compute_version is None: if","bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty result","import os import warnings import tvm._ffi from tvm.runtime import ndarray","On Windows it is not in the path by default.","in the system\"\"\" from __future__ import absolute_import as _abs import","use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is","os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path","major >= 6: return True return False def have_tensorcore(compute_version=None, target=None):","distributed with this work for additional information # regarding copyright","= \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find","def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of compilation","\"\"\"Either int8 support is provided in the compute capability or","not Parameters ---------- compute_version : str, optional compute capability of","def have_int8(compute_version): \"\"\"Either int8 support is provided in the compute","disabled due to no CUDA architecture specified.\" \"Try specifying it","number \"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor","cuda_ver < 10.0: return False return True except RuntimeError: return","+ \".\" + minor # 2. Global scope from tvm.autotvm.env","for the # specific language governing permissions and limitations #","elif isinstance(options, list): cmd += options else: raise ValueError(\"options must","cmd += options else: raise ValueError(\"options must be str or","to do runtime compiler detection, we require nvcc is configured","# if cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path]","ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing","Parameters ---------- target : tvm.target.Target, optional The compilation target Returns","if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd","compute_version : str compute capability of a GPU (e.g. \"6.0\")","tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or","\"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise","else: raise ValueError(\"options must be str or list of str\")","See the License for the # specific language governing permissions","to in writing, # software distributed under the License is","selected_ver < ver <= arch: selected_ver = ver selected_path =","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","by adding '-arch=sm_xx' to your target.\" ) return None def","disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" + str(err)) def","string to divide major and minor version Parameters ---------- compute_version","+= options else: raise ValueError(\"options must be str or list","\"\"\"Utility function to get cuda version Parameters ---------- cuda_path :","release_line.split(\",\")] release_version = [f[1:] for f in release_fields if f.startswith(\"V\")][0]","find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def","(e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major >=","version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError:","in int Returns ------- path : str Path to libdevice.","find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ---------- arch :","str The additional options path_target : str, optional Output file.","\"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not","file # distributed with this work for additional information #","version number minor : int minor version number \"\"\" split_ver","# https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3:","compute_version = major + \".\" + minor major, _ =","msg = code msg += \"\\nCompilation error:\\n\" msg += py_str(out)","cmd = [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if","cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it","= subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out =","path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path)","optional compute capability of a GPU (e.g. \"7.0\"). target :","else: cmd += [\"-arch\", arch] if options: if isinstance(options, str):","< 10.0: return False return True except RuntimeError: return False","\"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin, ptx, fatbin\")","file_target = path_target if path_target else temp_target cmd = [\"nvcc\"]","to find libdevice Parameters ---------- arch : int The compute","CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with","try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return","path_target : str, optional Output file. Return ------ cubin :","target=None): \"\"\"Either TensorCore support is provided in the compute capability","return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide","to no CUDA architecture specified.\" \"Try specifying it by adding","------- path : str Path to cuda root. \"\"\" if","cannot detect it from env\") file_target = path_target if path_target","raise RuntimeError(\"Compute version parsing error: \" + str(err)) def have_fp16(compute_version):","py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path =","open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\"","= target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major + \".\"","from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major,","\"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()","compute_version: str compute capability of a GPU (e.g. \"6.0\") \"\"\"","\"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 6:","implied. See the License for the # specific language governing","support is provided in the compute capability or not Parameters","os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path","to you under the Apache License, Version 2.0 (the #","find libdevice Parameters ---------- arch : int The compute architecture","version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged","is configured # correctly by default. # if cxx_compiler_path !=","10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\")","_) = proc.communicate() if proc.returncode != 0: msg = code","path_target else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" %","for f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return","+ minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn(","have_int8(compute_version): \"\"\"Either int8 support is provided in the compute capability","if cuda_ver < 10.0: return False return True except RuntimeError:","= path_target if path_target else temp_target cmd = [\"nvcc\"] cmd","with open(temp_code, \"w\") as out_file: out_file.write(code) if arch is None:","may not use this file except in compliance # with","arch: selected_ver = ver selected_path = fn if selected_path is","passed, and we cannot detect it from env\") file_target =","= [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)","major : int major version number minor : int minor","GPU device (if it exists). Parameters ---------- target : tvm.target.Target,","target, will be used to determine arch if compute_version isn't","bytearray of the cubin \"\"\" temp = utils.tempdir() if target","return True return False def have_cudagraph(): \"\"\"Either CUDA Graph support","is generated\") return data def find_cuda_path(): \"\"\"Utility function to find","and minor version Parameters ---------- compute_version : str compute capability","target.attrs: warnings.warn( \"Tensorcore will be disabled due to no CUDA","= py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path","2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel","list of str\") cmd += [\"-o\", file_target] cmd += [temp_code]","isn't specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version","import subprocess import os import warnings import tvm._ffi from tvm.runtime","not Parameters ---------- compute_version: str compute capability of a GPU","# Because it is hard to do runtime compiler detection,","arch : int The compute architecture in int Returns -------","License, Version 2.0 (the # \"License\"); you may not use","compilation target. Looks for the arch in three different places,","\"version.txt\") try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\",","either express or implied. See the License for the #","the system\"\"\" from __future__ import absolute_import as _abs import subprocess","subprocess import os import warnings import tvm._ffi from tvm.runtime import","out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect","options : str or list of str The additional options","get cuda version Parameters ---------- cuda_path : str Path to","[f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2])","return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot","callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\")","ValueError(\"options must be str or list of str\") cmd +=","5 and minor == 3: return True if major >=","bytearray The bytearray of the cubin \"\"\" temp = utils.tempdir()","in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version =",": str Path to cuda root. Returns ------- version :","will be disabled due to no CUDA architecture specified.\" \"Try","raise ValueError(\"target must be in cubin, ptx, fatbin\") temp_code =","as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2])","\"\"\" major, minor = parse_compute_version(compute_version) # fp 16 support in","parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major and minor","Parameters ---------- compute_version : str compute capability of a GPU","error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is",": tvm.target.Target, optional The compilation target, will be used to","find cuda path Returns ------- path : str Path to","additional information # regarding copyright ownership. The ASF licenses this","= \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed,","to find cuda path Returns ------- path : str Path","capability of a GPU (e.g. \"8.0\") \"\"\" # 1. Target","determine arch if compute_version isn't specified. \"\"\" if compute_version is","as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error:","+= [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)","AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor # 3. GPU","case it is not in the path. On Windows it","cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd","architecture was specified or GPU detected.\" \"Try specifying it by","split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1])","# fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if","repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try:","See the NOTICE file # distributed with this work for","fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major","compilation target, will be used to determine arch if compute_version","path : str Path to cuda root. \"\"\" if \"CUDA_PATH\"",".._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile","proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if","def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters ----------","the arch in three different places, first in the target","\"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major + \".\"","def have_fp16(compute_version): \"\"\"Either fp16 support is provided in the compute","selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0,","CUDA architecture specified.\" \"Try specifying it by adding '-arch=sm_xx' to","major, _ = parse_compute_version(compute_version) if major >= 8: return True","be disabled due to no CUDA architecture specified.\" \"Try specifying","isinstance(options, list): cmd += options else: raise ValueError(\"options must be","+ \".\" + minor major, _ = parse_compute_version(compute_version) if major","Apache License, Version 2.0 (the # \"License\"); you may not","arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch):","cuda version Parameters ---------- cuda_path : str Path to cuda","get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of compilation target.","\"Tensorcore will be disabled due to no CUDA architecture specified.\"","return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return","+= [\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd +=","capability of a GPU (e.g. \"8.0\") \"\"\" major, _ =","number minor : int minor version number \"\"\" split_ver =","cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version","and finally the GPU device (if it exists). Parameters ----------","6: return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore","architecture specified.\" \"Try specifying it by adding '-arch=sm_xx' to your","with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return","proc.communicate() if proc.returncode != 0: msg = code msg +=","= get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True",": int minor version number \"\"\" split_ver = compute_version.split(\".\") try:","minor version number \"\"\" split_ver = compute_version.split(\".\") try: major =","major, minor = compute_version.split(\"_\")[1] compute_version = major + \".\" +","is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC from","\"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\",","\"fatbin\"]: raise ValueError(\"target must be in cubin, ptx, fatbin\") temp_code","\"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty result is","exists). Parameters ---------- target : tvm.target.Target, optional The compilation target","file except in compliance # with the License. You may","\"\"\"Utility to invoke nvcc compiler in the system\"\"\" from __future__","if arch is None: if nd.gpu(0).exist: # auto detect the","% target, \"-O3\"] if isinstance(arch, list): cmd += arch else:","error:\\n\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read())","# specific language governing permissions and limitations # under the","specified or GPU detected.\" \"Try specifying it by adding '-arch=sm_xx'","= get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2,","the global scope, and finally the GPU device (if it","if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must","os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"):","target format arch : str The architecture options : str","proc.returncode != 0: msg = code msg += \"\\nCompilation error:\\n\"","you may not use this file except in compliance #","divide major and minor version Parameters ---------- compute_version : str","else: raise ValueError(\"arch(sm_xy) is not passed, and we cannot detect","the compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else:","target, \"-O3\"] if isinstance(arch, list): cmd += arch else: cmd","if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified","nd from . import utils from .._ffi.base import py_str def","not in the path. On Windows it is not in","root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd =","first in the target attributes, then the global scope, and","specifying it by adding '-arch=sm_xx' to your target.\" ) return","the c++ compiler # just in case it is not","parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions",") return False compute_version = target.attrs[\"arch\"] # Compute version will","use this file except in compliance # with the License.","str compute capability of a GPU (e.g. \"8.0\") \"\"\" major,","cuda root. Returns ------- version : float The cuda version","major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from","str or list of str The additional options path_target :","proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out","Graph support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver =","compute_version : str compute capability of a GPU (e.g. \"8.0\")","contributor license agreements. See the NOTICE file # distributed with","major version number minor : int minor version number \"\"\"","# correctly by default. # if cxx_compiler_path != \"\": #","---------- cuda_path : str Path to cuda root. Returns -------","to your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute","Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if","AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" +","raise RuntimeError(\"Compilation error: empty result is generated\") return data def","= code msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise","arch is None: if nd.gpu(0).exist: # auto detect the compute","3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture","= os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f:","the GPU device (if it exists). Parameters ---------- target :","str compute capability of a GPU (e.g. \"6.1\") \"\"\" major,","(e.g. \"7.0\"). target : tvm.target.Target, optional The compilation target, will","+ minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope","return major, minor except (IndexError, ValueError) as err: # pylint:","return True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16","is None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will","= fn if selected_path is None: raise RuntimeError(\"Cannot find libdevice","Returns ------- major : int major version number minor :","is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target","The bytearray of the cubin \"\"\" temp = utils.tempdir() if","False def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try:","an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF","if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path =","l][0] release_fields = [s.strip() for s in release_line.split(\",\")] release_version =","in the path by default. # However, we cannot use","if options: if isinstance(options, str): cmd += [options] elif isinstance(options,","---------- compute_version: str compute capability of a GPU (e.g. \"6.0\")","nvcc compiler in the system\"\"\" from __future__ import absolute_import as","the runtime env. # Because it is hard to do","\"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda","WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express","return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support","Parameters ---------- arch : int The compute architecture in int","compute capability of a GPU (e.g. \"7.0\"). target : tvm.target.Target,","if target is None or \"arch\" not in target.attrs: warnings.warn(","with this work for additional information # regarding copyright ownership.","+ minor major, _ = parse_compute_version(compute_version) if major >= 7:","arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not","read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to","as _abs import subprocess import os import warnings import tvm._ffi","proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if","return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\"","code. target : str The target format arch : str","a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The compilation","repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0","temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code,","ver <= arch: selected_ver = ver selected_path = fn if","f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda","get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters ---------- cuda_path","(if it exists). Parameters ---------- target : tvm.target.Target, optional The","compute capability string to divide major and minor version Parameters","utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target","work for additional information # regarding copyright ownership. The ASF","os import warnings import tvm._ffi from tvm.runtime import ndarray as","return major + \".\" + minor # 3. GPU if","True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support","+= arch else: cmd += [\"-arch\", arch] if options: if","form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major +","major == 5 and minor == 3: return True if","distributed under the License is distributed on an # \"AS","(e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major >=","we require nvcc is configured # correctly by default. #","cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd","# just in case it is not in the path.","the path. On Windows it is not in the path","in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path","os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd,","False def have_int8(compute_version): \"\"\"Either int8 support is provided in the","# software distributed under the License is distributed on an","= find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return","disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the system\"\"\" from","if selected_path is None: raise RuntimeError(\"Cannot find libdevice for arch","compute_version = target.attrs[\"arch\"] # Compute version will be in the","= target.attrs[\"arch\"] # Compute version will be in the form","= bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty","three different places, first in the target attributes, then the","the License. You may obtain a copy of the License","invoke nvcc compiler in the system\"\"\" from __future__ import absolute_import","absolute_import as _abs import subprocess import os import warnings import","The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not","if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"]","of a GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version)","str, optional compute capability of a GPU (e.g. \"7.0\"). target","if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1,","return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability","we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because","find the c++ compiler # just in case it is","to get cuda version Parameters ---------- cuda_path : str Path","and minor == 3: return True if major >= 6:","== 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path,","compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if","under the Apache License, Version 2.0 (the # \"License\"); you","cubin \"\"\" temp = utils.tempdir() if target not in [\"cubin\",","True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is","!= \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd,","governing permissions and limitations # under the License. # pylint:","\"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and we cannot","data: raise RuntimeError(\"Compilation error: empty result is generated\") return data","arch] if options: if isinstance(options, str): cmd += [options] elif",": float The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\")","= os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch)","distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR","is provided in the compute capability or not Parameters ----------","regarding copyright ownership. The ASF licenses this file # to","if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\")","\"\"\" major, _ = parse_compute_version(compute_version) if major >= 6: return",": bytearray The bytearray of the cubin \"\"\" temp =","or agreed to in writing, # software distributed under the","return True if major >= 6: return True return False","it is not in the path. On Windows it is","# 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint:","== 0: release_line = [l for l in out.split(\"\\n\") if","compute_version : str compute capability of a GPU (e.g. \"6.1\")",">= 7: return True return False def have_cudagraph(): \"\"\"Either CUDA","os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str","if cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc","Target if target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"]","cuda path Returns ------- path : str Path to cuda","\"release\" in l][0] release_fields = [s.strip() for s in release_line.split(\",\")]",": tvm.target.Target, optional The compilation target Returns ------- compute_version :","for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def","\"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp 16 support","no CUDA architecture specified.\" \"Try specifying it by adding '-arch=sm_xx'","path_target if path_target else temp_target cmd = [\"nvcc\"] cmd +=","_ = parse_compute_version(compute_version) if major >= 8: return True return","is None: if nd.gpu(0).exist: # auto detect the compute arch","detect it from env\") file_target = path_target if path_target else","support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5","major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor","[\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =","os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)","or more contributor license agreements. See the NOTICE file #","as nd from . import utils from .._ffi.base import py_str","temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file: out_file.write(code) if","in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if","if selected_ver < ver <= arch: selected_ver = ver selected_path","a GPU (e.g. \"8.0\") \"\"\" # 1. Target if target:","\"\"\"Parse compute capability string to divide major and minor version","compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC","f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor)","os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except","capability of a GPU (e.g. \"6.0\") Returns ------- major :",": str compute capability of a GPU (e.g. \"6.1\") \"\"\"","from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None):","this work for additional information # regarding copyright ownership. The","env. # Because it is hard to do runtime compiler","target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be","= os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA","permissions and limitations # under the License. # pylint: disable=invalid-name","Returns ------- path : str Path to cuda root. \"\"\"","in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise","the NOTICE file # distributed with this work for additional","True return False def have_cudagraph(): \"\"\"Either CUDA Graph support is","10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else:","== 5 and minor == 3: return True if major","for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver =","in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\"","However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. #","= [l for l in out.split(\"\\n\") if \"release\" in l][0]","if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read","file_target] cmd += [temp_code] # NOTE: ccbin option can be","detection, we require nvcc is configured # correctly by default.","GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major","in the compute capability or not Parameters ---------- compute_version: str","_abs import subprocess import os import warnings import tvm._ffi from","\".\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version","adding '-arch=sm_xx' to your target.\" ) return None def parse_compute_version(compute_version):","the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major","finally the GPU device (if it exists). Parameters ---------- target","stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if","in release_line.split(\",\")] release_version = [f[1:] for f in release_fields if","(9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path =",": str The architecture options : str or list of","(e.g. \"8.0\") \"\"\" # 1. Target if target: if \"arch\"","str): cmd += [options] elif isinstance(options, list): cmd += options","(e.g. \"6.0\") Returns ------- major : int major version number","cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1,","cuda code with NVCC from env. Parameters ---------- code :","compute_version : str, optional compute capability of a GPU (e.g.","py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data:","if not data: raise RuntimeError(\"Compilation error: empty result is generated\")","RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get","find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False","else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" % target,","+= \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data =","# Compute version will be in the form \"sm_{major}{minor}\" major,","out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto","GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major","stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0:","= temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file: out_file.write(code)","\"\"\" # 1. Target if target: if \"arch\" in target.attrs:","limitations # under the License. # pylint: disable=invalid-name \"\"\"Utility to","raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility","libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if","int Returns ------- path : str Path to libdevice. \"\"\"","KIND, either express or implied. See the License for the","try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor","+= [options] elif isinstance(options, list): cmd += options else: raise","capability of compilation target. Looks for the arch in three","by adding '-arch=sm_xx' to your target.\" ) return False compute_version",": str The cuda code. target : str The target","str Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path =","disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major +","isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd +=","if proc.returncode != 0: msg = code msg += \"\\nCompilation","RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation","have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path =","# Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\",","lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None","a GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) #","10.0: return False return True except RuntimeError: return False def","data = bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error:","cmd += [temp_code] # NOTE: ccbin option can be used","have_fp16(compute_version): \"\"\"Either fp16 support is provided in the compute capability","= proc.communicate() out = py_str(out) if proc.returncode == 0: return","RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path)","= parse_compute_version(compute_version) if major >= 8: return True return False","or implied. See the License for the # specific language","path_target=None): \"\"\"Compile cuda code with NVCC from env. Parameters ----------","express or implied. See the License for the # specific","arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC from env.","proc.communicate() out = py_str(out) if proc.returncode == 0: release_line =","c++ compiler # just in case it is not in","return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def","\"\"\"Compile cuda code with NVCC from env. Parameters ---------- code","to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor ==","utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None,","selected_path = fn if selected_path is None: raise RuntimeError(\"Cannot find","data def find_cuda_path(): \"\"\"Utility function to find cuda path Returns","return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\",","9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path,","fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <=","7: return True return False def have_cudagraph(): \"\"\"Either CUDA Graph","return data def find_cuda_path(): \"\"\"Utility function to find cuda path","major >= 7: return True return False def have_cudagraph(): \"\"\"Either","have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in the compute","Returns ------- version : float The cuda version \"\"\" version_file_path","the # specific language governing permissions and limitations # under","from env. Parameters ---------- code : str The cuda code.","used to tell nvcc where to find the c++ compiler","Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\")","architecture options : str or list of str The additional","of compilation target. Looks for the arch in three different","not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path,","= py_str(out) if proc.returncode == 0: release_line = [l for","0: release_line = [l for l in out.split(\"\\n\") if \"release\"","<filename>python/tvm/contrib/nvcc.py # Licensed to the Apache Software Foundation (ASF) under","selected_ver = ver selected_path = fn if selected_path is None:","may obtain a copy of the License at # #","target. Looks for the arch in three different places, first","= compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return","\"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu","if proc.returncode == 0: release_line = [l for l in","it by adding '-arch=sm_xx' to your target.\" ) return False","except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support is","specified.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\"","RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function","The ASF licenses this file # to you under the","cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path):","------- compute_version : str compute capability of a GPU (e.g.","be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target =","[temp_code] # NOTE: ccbin option can be used to tell","# pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" +","then the global scope, and finally the GPU device (if","RuntimeError(\"Compilation error: empty result is generated\") return data def find_cuda_path():","compute_version isn't specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist:","version Parameters ---------- cuda_path : str Path to cuda root.","find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return","[\"-arch\", arch] if options: if isinstance(options, str): cmd += [options]","# Licensed to the Apache Software Foundation (ASF) under one","[l for l in out.split(\"\\n\") if \"release\" in l][0] release_fields","warnings.warn( \"No CUDA architecture was specified or GPU detected.\" \"Try",": str compute capability of a GPU (e.g. \"6.0\") Returns","of a GPU (e.g. \"6.0\") Returns ------- major : int","temp = utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]:","a GPU (e.g. \"6.0\") Returns ------- major : int major","capability or not Parameters ---------- compute_version : str compute capability","import absolute_import as _abs import subprocess import os import warnings","out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\"))","version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice","in target.attrs: warnings.warn( \"Tensorcore will be disabled due to no","return major + \".\" + minor # 2. Global scope","your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute capability","or not Parameters ---------- compute_version : str, optional compute capability","tvm.runtime import ndarray as nd from . import utils from","= ver selected_path = fn if selected_path is None: raise","FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc =","return True return False def have_int8(compute_version): \"\"\"Either int8 support is","+= [temp_code] # NOTE: ccbin option can be used to","import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda","if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver <","def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with","law or agreed to in writing, # software distributed under","os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\",","configured # correctly by default. # if cxx_compiler_path != \"\":","Foundation (ASF) under one # or more contributor license agreements.","cubin : bytearray The bytearray of the cubin \"\"\" temp","int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError)","if major == 5 and minor == 3: return True","proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(),","in the compute capability or not Parameters ---------- compute_version :","to get compute capability of compilation target. Looks for the","None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path =","libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path","tvm.target.Target, optional The compilation target Returns ------- compute_version : str","in target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return","pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","function to get cuda version Parameters ---------- cuda_path : str","compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major,","= int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver =","to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"]","list of str The additional options path_target : str, optional","to tell nvcc where to find the c++ compiler #","(out, _) = proc.communicate() out = py_str(out) if proc.returncode ==","\".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\")","Software Foundation (ASF) under one # or more contributor license","---------- arch : int The compute architecture in int Returns","def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major and","reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor","parse_compute_version(compute_version) if major >= 6: return True return False def","compute_version.split(\"_\")[1] compute_version = major + \".\" + minor major, _","str Path to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ:","architecture in int Returns ------- path : str Path to","# regarding copyright ownership. The ASF licenses this file #","= \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\")","scope, and finally the GPU device (if it exists). Parameters","in compliance # with the License. You may obtain a","# to you under the Apache License, Version 2.0 (the","License for the # specific language governing permissions and limitations","of the cubin \"\"\" temp = utils.tempdir() if target not","can be used to tell nvcc where to find the","nvcc is configured # correctly by default. # if cxx_compiler_path","= proc.communicate() if proc.returncode != 0: msg = code msg","cmd += [\"-arch\", arch] if options: if isinstance(options, str): cmd","compilation target Returns ------- compute_version : str compute capability of","minor = compute_version.split(\"_\")[1] return major + \".\" + minor #","GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was","OR CONDITIONS OF ANY # KIND, either express or implied.","code with NVCC from env. Parameters ---------- code : str","= utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise","Parameters ---------- cuda_path : str Path to cuda root. Returns","release_fields = [s.strip() for s in release_line.split(\",\")] release_version = [f[1:]","minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor #","# cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)","return cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility","of a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The","argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is","by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the","# auto detect the compute arch argument arch = \"sm_\"","path : str Path to libdevice. \"\"\" cuda_path = find_cuda_path()","in the target attributes, then the global scope, and finally","return False def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\"","import ndarray as nd from . import utils from .._ffi.base","to divide major and minor version Parameters ---------- compute_version :","a GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if","str compute capability of a GPU (e.g. \"6.0\") \"\"\" major,","raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data: raise","get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except","this file # to you under the Apache License, Version","str or list of str\") cmd += [\"-o\", file_target] cmd","err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \"","+= py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not","int minor version number \"\"\" split_ver = compute_version.split(\".\") try: major",": str The target format arch : str The architecture","if path_target else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\"","= proc.communicate() out = py_str(out) if proc.returncode == 0: release_line","copyright ownership. The ASF licenses this file # to you","find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to","\"6.0\") Returns ------- major : int major version number minor","False def have_bf16(compute_version): \"\"\"Either bf16 support is provided in the","return False def have_bf16(compute_version): \"\"\"Either bf16 support is provided in","places, first in the target attributes, then the global scope,","path Returns ------- path : str Path to cuda root.","!= 0: msg = code msg += \"\\nCompilation error:\\n\" msg","cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2):","generated\") return data def find_cuda_path(): \"\"\"Utility function to find cuda","of a GPU (e.g. \"8.0\") \"\"\" # 1. Target if","str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided in the","in writing, # software distributed under the License is distributed","target : str The target format arch : str The","capability of a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional","\"Try specifying it by adding '-arch=sm_xx' to your target.\" )","try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\")",": str, optional Output file. Return ------ cubin : bytearray","if \"release\" in l][0] release_fields = [s.strip() for s in","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","License is distributed on an # \"AS IS\" BASIS, WITHOUT","\"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue",": int major version number minor : int minor version","for s in release_line.split(\",\")] release_version = [f[1:] for f in","cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find","float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"),","optional Output file. Return ------ cubin : bytearray The bytearray","selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if","optional The compilation target Returns ------- compute_version : str compute","[os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,","default. # if cxx_compiler_path != \"\": # cmd += [\"-ccbin\",","= compute_version.split(\"_\")[1] return major + \".\" + minor # 2.","\"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path = find_cuda_path()","Looks for the arch in three different places, first in","of str\") cmd += [\"-o\", file_target] cmd += [temp_code] #","major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version","def find_cuda_path(): \"\"\"Utility function to find cuda path Returns -------","release_line = [l for l in out.split(\"\\n\") if \"release\" in","# \"License\"); you may not use this file except in","cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc =","fp16 support is provided in the compute capability or not","Path to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return","selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError:","# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY","provided in the compute capability or not Parameters ---------- compute_version","provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver","different places, first in the target attributes, then the global","\"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,","to the Apache Software Foundation (ASF) under one # or","\"License\"); you may not use this file except in compliance","cuda code. target : str The target format arch :","temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"]","+= [\"-arch\", arch] if options: if isinstance(options, str): cmd +=","import utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None,","cmd += [\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin","return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or GPU","_ = parse_compute_version(compute_version) if major >= 7: return True return","0: msg = code msg += \"\\nCompilation error:\\n\" msg +=","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","Output file. Return ------ cubin : bytearray The bytearray of","lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged","not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver","compute capability of a GPU (e.g. \"6.0\") Returns ------- major","if nd.gpu(0).exist: # auto detect the compute arch argument arch","\"\"\" temp = utils.tempdir() if target not in [\"cubin\", \"ptx\",","function to find libdevice Parameters ---------- arch : int The","provided in the compute capability or not Parameters ---------- compute_version:","path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if","major, _ = parse_compute_version(compute_version) if major >= 6: return True","The compilation target, will be used to determine arch if","# distributed with this work for additional information # regarding","= os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA","writing, # software distributed under the License is distributed on","---------- code : str The cuda code. target : str","\"\"\"Utility function to find cuda path Returns ------- path :","= [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)","scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch:","version will be in the form \"sm_{major}{minor}\" major, minor =","warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function","parse_compute_version(compute_version) if major >= 7: return True return False def","capability of a GPU (e.g. \"6.0\") \"\"\" major, minor =","to cuda root. Returns ------- version : float The cuda","was specified or GPU detected.\" \"Try specifying it by adding","major, minor = compute_version.split(\"_\")[1] return major + \".\" + minor","capability or not Parameters ---------- compute_version : str, optional compute","---------- compute_version : str, optional compute capability of a GPU","in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and","arch if compute_version isn't specified. \"\"\" if compute_version is None:","used to determine arch if compute_version isn't specified. \"\"\" if","str compute capability of a GPU (e.g. \"8.0\") \"\"\" #","not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path,","raise ValueError(\"arch(sm_xy) is not passed, and we cannot detect it","CONDITIONS OF ANY # KIND, either express or implied. See","options=None, path_target=None): \"\"\"Compile cuda code with NVCC from env. Parameters","detect the compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\"))","The compute architecture in int Returns ------- path : str","from tvm.runtime import ndarray as nd from . import utils","< ver <= arch: selected_ver = ver selected_path = fn","if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None","not Parameters ---------- compute_version : str compute capability of a","11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path):","options: if isinstance(options, str): cmd += [options] elif isinstance(options, list):","compute architecture in int Returns ------- path : str Path","have_bf16(compute_version): \"\"\"Either bf16 support is provided in the compute capability","License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in","ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target)","the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH","ndarray as nd from . import utils from .._ffi.base import","runtime env. # Because it is hard to do runtime","subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode !=","minor major, _ = parse_compute_version(compute_version) if major >= 7: return","is not passed, and we cannot detect it from env\")","tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or","version number \"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0])","for additional information # regarding copyright ownership. The ASF licenses","\"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path,","# Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver","10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for","compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise","the Apache Software Foundation (ASF) under one # or more","[\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin, ptx,",">= 6: return True return False def have_int8(compute_version): \"\"\"Either int8","try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver <","correctly by default. # if cxx_compiler_path != \"\": # cmd","# # Unless required by applicable law or agreed to","py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code","Version 2.0 (the # \"License\"); you may not use this","str, optional Output file. Return ------ cubin : bytearray The","= temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\")","0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in","fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with","\"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target,","cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,","\"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd =","if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\"","str The target format arch : str The architecture options","= parse_compute_version(compute_version) # fp 16 support in reference to: #","one # or more contributor license agreements. See the NOTICE","if major >= 7: return True return False def have_cudagraph():",": int The compute architecture in int Returns ------- path","compute capability of a GPU (e.g. \"8.0\") \"\"\" major, _","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","return False return True except RuntimeError: return False def have_bf16(compute_version):","str Path to cuda root. Returns ------- version : float","= subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode","os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\")","major + \".\" + minor # 3. GPU if tvm.gpu(0).exist:","must be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target",": str Path to cuda root. \"\"\" if \"CUDA_PATH\" in","if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path =","temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as","GPU (e.g. \"8.0\") \"\"\" # 1. Target if target: if","\".\" + minor # 2. Global scope from tvm.autotvm.env import","target.\" ) return False compute_version = target.attrs[\"arch\"] # Compute version","GPU detected.\" \"Try specifying it by adding '-arch=sm_xx' to your","\"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be disabled due","cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot","from __future__ import absolute_import as _abs import subprocess import os","due to no CUDA architecture specified.\" \"Try specifying it by","to find the c++ compiler # just in case it","except in compliance # with the License. You may obtain","find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu","GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The compilation target,","in the path. On Windows it is not in the","\"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version","= int(split_ver[1]) return major, minor except (IndexError, ValueError) as err:","minor = compute_version.split(\"_\")[1] compute_version = major + \".\" + minor","None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major","version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): #","Because it is hard to do runtime compiler detection, we","(out, _) = proc.communicate() if proc.returncode != 0: msg =","to determine arch if compute_version isn't specified. \"\"\" if compute_version","compute capability of a GPU (e.g. \"6.0\") \"\"\" major, minor","NOTICE file # distributed with this work for additional information","libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get","continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch:","this file except in compliance # with the License. You","= find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): #","the compute capability or not Parameters ---------- compute_version : str,","target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string","compute capability of a GPU (e.g. \"6.1\") \"\"\" major, _","[\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch, list):","of str The additional options path_target : str, optional Output","= parse_compute_version(compute_version) if major >= 6: return True return False","license agreements. See the NOTICE file # distributed with this","nvcc where to find the c++ compiler # just in","pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" + str(err))","as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: #","required by applicable law or agreed to in writing, #","additional options path_target : str, optional Output file. Return ------","version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as","Windows it is not in the path by default. #","parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support","CUDA architecture was specified or GPU detected.\" \"Try specifying it","must be str or list of str\") cmd += [\"-o\",","\" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided","\".\" + minor major, _ = parse_compute_version(compute_version) if major >=","https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return","proc.returncode == 0: release_line = [l for l in out.split(\"\\n\")","and limitations # under the License. # pylint: disable=invalid-name \"\"\"Utility","= os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not","\"\"\"Either TensorCore support is provided in the compute capability or","cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,","libdevice Parameters ---------- arch : int The compute architecture in","Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path,","The cuda code. target : str The target format arch","because the runtime env. # Because it is hard to","the License for the # specific language governing permissions and","11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn","Returns ------- compute_version : str compute capability of a GPU","[options] elif isinstance(options, list): cmd += options else: raise ValueError(\"options",") return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to","compute_version = tvm.gpu(0).compute_version else: if target is None or \"arch\"","---------- target : tvm.target.Target, optional The compilation target Returns -------","return False compute_version = target.attrs[\"arch\"] # Compute version will be","ValueError(\"arch(sm_xy) is not passed, and we cannot detect it from","import tvm._ffi from tvm.runtime import ndarray as nd from .","ANY # KIND, either express or implied. See the License","11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in","major, minor = parse_compute_version(compute_version) # fp 16 support in reference","the License is distributed on an # \"AS IS\" BASIS,","we cannot detect it from env\") file_target = path_target if","in case it is not in the path. On Windows","in out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip() for","device (if it exists). Parameters ---------- target : tvm.target.Target, optional","f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd","get compute capability of compilation target. Looks for the arch","6: return True return False def have_int8(compute_version): \"\"\"Either int8 support","\"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path","None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be","or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be disabled","file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters","bf16 support is provided in the compute capability or not","file. Return ------ cubin : bytearray The bytearray of the","\"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path)","= os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver","except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None):","\"\"\"Either fp16 support is provided in the compute capability or","\"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\",","TensorCore support is provided in the compute capability or not","compute capability or not Parameters ---------- compute_version: str compute capability","or not Parameters ---------- compute_version: str compute capability of a","cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function","if major >= 6: return True return False def have_tensorcore(compute_version=None,","int8 support is provided in the compute capability or not","will be in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1]","cmd += [options] elif isinstance(options, list): cmd += options else:","# pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the","\"No CUDA architecture was specified or GPU detected.\" \"Try specifying","target : tvm.target.Target, optional The compilation target Returns ------- compute_version","GPU (e.g. \"6.0\") Returns ------- major : int major version","be used to determine arch if compute_version isn't specified. \"\"\"","subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out)","None: if nd.gpu(0).exist: # auto detect the compute arch argument","not use this file except in compliance # with the","tell nvcc where to find the c++ compiler # just","\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"]","Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver =","\"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =","cuda_path : str Path to cuda root. Returns ------- version","compute_version.split(\"_\")[1] return major + \".\" + minor # 2. Global","minor version Parameters ---------- compute_version : str compute capability of","will be used to determine arch if compute_version isn't specified.","def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ---------- arch","tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or GPU detected.\"","major >= 6: return True return False def have_int8(compute_version): \"\"\"Either","+ \".\" + minor # 3. GPU if tvm.gpu(0).exist: return","RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility","not data: raise RuntimeError(\"Compilation error: empty result is generated\") return","attributes, then the global scope, and finally the GPU device","= 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver","import warnings import tvm._ffi from tvm.runtime import ndarray as nd","Unless required by applicable law or agreed to in writing,","target attributes, then the global scope, and finally the GPU","path. On Windows it is not in the path by","3: return True if major >= 6: return True return","where to find the c++ compiler # just in case","\"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and","arch else: cmd += [\"-arch\", arch] if options: if isinstance(options,","+ str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided in","not in the path by default. # However, we cannot","compiler detection, we require nvcc is configured # correctly by","pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd,","The target format arch : str The architecture options :","# NOTE: ccbin option can be used to tell nvcc","compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major +","(ASF) under one # or more contributor license agreements. See","it is hard to do runtime compiler detection, we require","os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver =","compiler in the system\"\"\" from __future__ import absolute_import as _abs","= [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch,","# or more contributor license agreements. See the NOTICE file",": str Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path","agreed to in writing, # software distributed under the License","str The cuda code. target : str The target format","minor == 3: return True if major >= 6: return","option can be used to tell nvcc where to find","\"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path","\"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path):","minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise","except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute","return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,","------ cubin : bytearray The bytearray of the cubin \"\"\"","stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode",": str compute capability of a GPU (e.g. \"8.0\") \"\"\"","in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc =","\"\"\"Either bf16 support is provided in the compute capability or","version : float The cuda version \"\"\" version_file_path = os.path.join(cuda_path,","\"\"\"Utility function to find libdevice Parameters ---------- arch : int","runtime compiler detection, we require nvcc is configured # correctly","0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")):","the compute capability or not Parameters ---------- compute_version: str compute","l in out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip()","code msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg)","with NVCC from env. Parameters ---------- code : str The","stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg","options else: raise ValueError(\"options must be str or list of","release_version = [f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor","compiler # just in case it is not in the","int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver = ver","False compute_version = target.attrs[\"arch\"] # Compute version will be in","isinstance(arch, list): cmd += arch else: cmd += [\"-arch\", arch]","(the # \"License\"); you may not use this file except","open(temp_code, \"w\") as out_file: out_file.write(code) if arch is None: if","[\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin option can","version Parameters ---------- compute_version : str compute capability of a","float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch):","the compute capability or not Parameters ---------- compute_version : str","float The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if","of a GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version)","it from env\") file_target = path_target if path_target else temp_target","ccbin option can be used to tell nvcc where to","path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return","True return False def have_int8(compute_version): \"\"\"Either int8 support is provided","def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in the","ASF licenses this file # to you under the Apache","CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path","<= arch: selected_ver = ver selected_path = fn if selected_path","\"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()","# pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return","result is generated\") return data def find_cuda_path(): \"\"\"Utility function to","on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS","\"-O3\"] if isinstance(arch, list): cmd += arch else: cmd +=","The additional options path_target : str, optional Output file. Return","\"\"\"Utility function to get compute capability of compilation target. Looks","nd.gpu(0).exist: # auto detect the compute arch argument arch =","path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute","ownership. The ASF licenses this file # to you under","The compilation target Returns ------- compute_version : str compute capability","is None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path","tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor","# 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA","release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot","int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: #","= int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError,","list): cmd += options else: raise ValueError(\"options must be str","tvm.gpu(0).compute_version else: if target is None or \"arch\" not in","global scope, and finally the GPU device (if it exists).","for l in out.split(\"\\n\") if \"release\" in l][0] release_fields =","+= [\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin option","target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor =","+ \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and we","is not in the path. On Windows it is not","env\") file_target = path_target if path_target else temp_target cmd =","raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path,","with the License. You may obtain a copy of the","function to find cuda path Returns ------- path : str","Returns ------- path : str Path to libdevice. \"\"\" cuda_path","capability string to divide major and minor version Parameters ----------","major + \".\" + minor major, _ = parse_compute_version(compute_version) if","the License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler","optional The compilation target, will be used to determine arch","or list of str\") cmd += [\"-o\", file_target] cmd +=","Parameters ---------- code : str The cuda code. target :","ver selected_path = fn if selected_path is None: raise RuntimeError(\"Cannot","CUDA Graph support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver","applicable law or agreed to in writing, # software distributed","root. Returns ------- version : float The cuda version \"\"\"","compute capability of compilation target. Looks for the arch in","minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope #","\"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor =","arch in three different places, first in the target attributes,","= f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass","NVCC from env. Parameters ---------- code : str The cuda","target) with open(temp_code, \"w\") as out_file: out_file.write(code) if arch is","\"w\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist:","is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES","file # to you under the Apache License, Version 2.0","major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except","= compute_version.split(\"_\")[1] compute_version = major + \".\" + minor major,","def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice","warnings import tvm._ffi from tvm.runtime import ndarray as nd from","# with the License. You may obtain a copy of","tvm._ffi from tvm.runtime import ndarray as nd from . import",". import utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\",","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","auto detect the compute arch argument arch = \"sm_\" +","language governing permissions and limitations # under the License. #","\"8.0\") \"\"\" # 1. Target if target: if \"arch\" in","{}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try:","(IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version","detected.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\"","is not in the path by default. # However, we","software distributed under the License is distributed on an #","find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda","Licensed to the Apache Software Foundation (ASF) under one #","# under the License. # pylint: disable=invalid-name \"\"\"Utility to invoke","code : str The cuda code. target : str The","if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\"","[\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =","error: empty result is generated\") return data def find_cuda_path(): \"\"\"Utility","capability or not Parameters ---------- compute_version: str compute capability of","options path_target : str, optional Output file. Return ------ cubin","for the arch in three different places, first in the","---------- compute_version : str compute capability of a GPU (e.g.","int major version number minor : int minor version number","in l][0] release_fields = [s.strip() for s in release_line.split(\",\")] release_version","under one # or more contributor license agreements. See the","do runtime compiler detection, we require nvcc is configured #","compute capability of a GPU (e.g. \"8.0\") \"\"\" # 1.","list): cmd += arch else: cmd += [\"-arch\", arch] if","default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime","cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()","specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version =","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","# However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env.","target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major + \".\" +","compute capability or not Parameters ---------- compute_version : str compute","out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip() for s","target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major","arch : str The architecture options : str or list","information # regarding copyright ownership. The ASF licenses this file","cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path):","not in target.attrs: warnings.warn( \"Tensorcore will be disabled due to","major, _ = parse_compute_version(compute_version) if major >= 7: return True","Parameters ---------- compute_version: str compute capability of a GPU (e.g.","the Apache License, Version 2.0 (the # \"License\"); you may","if major >= 6: return True return False def have_int8(compute_version):","to your target.\" ) return False compute_version = target.attrs[\"arch\"] #","path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path =","cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return","capability of a GPU (e.g. \"6.1\") \"\"\" major, _ =","raise ValueError(\"options must be str or list of str\") cmd","temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file:","@tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ----------","function to get compute capability of compilation target. Looks for","\"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)","you under the Apache License, Version 2.0 (the # \"License\");",": str or list of str The additional options path_target","os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path","env. Parameters ---------- code : str The cuda code. target","# KIND, either express or implied. See the License for","of a GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version)","\"7.0\"). target : tvm.target.Target, optional The compilation target, will be","hard to do runtime compiler detection, we require nvcc is","adding '-arch=sm_xx' to your target.\" ) return False compute_version =","= major + \".\" + minor major, _ = parse_compute_version(compute_version)","is hard to do runtime compiler detection, we require nvcc","fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1])","str compute capability of a GPU (e.g. \"6.0\") Returns -------","it exists). Parameters ---------- target : tvm.target.Target, optional The compilation","int The compute architecture in int Returns ------- path :","except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc","in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin,","agreements. See the NOTICE file # distributed with this work",">= 6: return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either","licenses this file # to you under the Apache License,","\"\"\" major, _ = parse_compute_version(compute_version) if major >= 8: return","__future__ import absolute_import as _abs import subprocess import os import","cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,","by applicable law or agreed to in writing, # software","# Unless required by applicable law or agreed to in","return False def have_int8(compute_version): \"\"\"Either int8 support is provided in","empty result is generated\") return data def find_cuda_path(): \"\"\"Utility function",": str, optional compute capability of a GPU (e.g. \"7.0\").","minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as","path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because","cmd += arch else: cmd += [\"-arch\", arch] if options:","under the License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc","format arch : str The architecture options : str or","\"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc","_) = proc.communicate() out = py_str(out) if proc.returncode == 0:","target Returns ------- compute_version : str compute capability of a","IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,","\"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str =","path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find","or list of str The additional options path_target : str,","_ = parse_compute_version(compute_version) if major >= 6: return True return","\"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 8:","else: if target is None or \"arch\" not in target.attrs:","RuntimeError(\"Compute version parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either","License. You may obtain a copy of the License at","find_cuda_path(): \"\"\"Utility function to find cuda path Returns ------- path","False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in","minor = parse_compute_version(compute_version) # fp 16 support in reference to:","You may obtain a copy of the License at #","str The architecture options : str or list of str","pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the system\"\"\"","# 1. Target if target: if \"arch\" in target.attrs: compute_version","tvm.target.Target, optional The compilation target, will be used to determine","False return True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either","RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support is provided","it by adding '-arch=sm_xx' to your target.\" ) return None","require nvcc is configured # correctly by default. # if","TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard","it is not in the path by default. # However,","support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path)","\"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1]","Compute version will be in the form \"sm_{major}{minor}\" major, minor","be in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version","system\"\"\" from __future__ import absolute_import as _abs import subprocess import","compliance # with the License. You may obtain a copy","from . import utils from .._ffi.base import py_str def compile_cuda(code,","os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver","by default. # if cxx_compiler_path != \"\": # cmd +=","= None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1,","if isinstance(arch, list): cmd += arch else: cmd += [\"-arch\",","(e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp 16","from env\") file_target = path_target if path_target else temp_target cmd","msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if","The architecture options : str or list of str The","\"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of","target : tvm.target.Target, optional The compilation target, will be used","not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in","path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters","return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided","Return ------ cubin : bytearray The bytearray of the cubin","None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is","if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor =","== 3: return True if major >= 6: return True"],"string":"[\n \"= tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\" not\",\n \"'-arch=sm_xx' to your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"]\",\n \"------- path : str Path to libdevice. \\\"\\\"\\\" cuda_path =\",\n \"to invoke nvcc compiler in the system\\\"\\\"\\\" from __future__ import\",\n \"Path to cuda root. Returns ------- version : float The\",\n \"OF ANY # KIND, either express or implied. See the\",\n \"ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\")\",\n \"be used to tell nvcc where to find the c++\",\n \"f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except\",\n \"py_str(out) if proc.returncode == 0: release_line = [l for l\",\n \"raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to\",\n \"= [s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:] for\",\n \"a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if\",\n \"compute capability or not Parameters ---------- compute_version : str, optional\",\n \"more contributor license agreements. See the NOTICE file # distributed\",\n \"major and minor version Parameters ---------- compute_version : str compute\",\n \"cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0:\",\n \"str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE:\",\n \"fn if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for\",\n \"None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0,\",\n \"[s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:] for f\",\n \"------- major : int major version number minor : int\",\n \"Apache Software Foundation (ASF) under one # or more contributor\",\n \"in three different places, first in the target attributes, then\",\n \"target.attrs[\\\"arch\\\"] # Compute version will be in the form \\\"sm_{major}{minor}\\\"\",\n \"16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major ==\",\n \"or GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to\",\n \"True if major >= 6: return True return False def\",\n \"or not Parameters ---------- compute_version : str compute capability of\",\n \"WARRANTIES OR CONDITIONS OF ANY # KIND, either express or\",\n \"def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path\",\n \"2.0 (the # \\\"License\\\"); you may not use this file\",\n \"os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def\",\n \"major + \\\".\\\" + minor # 2. Global scope from\",\n \"the cubin \\\"\\\"\\\" temp = utils.tempdir() if target not in\",\n \"------- version : float The cuda version \\\"\\\"\\\" version_file_path =\",\n \"get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0,\",\n \"'-arch=sm_xx' to your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse\",\n \"version parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16\",\n \"s in release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields\",\n \"def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the compute\",\n \"else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver\",\n \"and we cannot detect it from env\\\") file_target = path_target\",\n \"minor : int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\")\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"just in case it is not in the path. On\",\n \"msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data\",\n \"to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\")\",\n \"selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch))\",\n \"% target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch\",\n \"GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp\",\n \"not passed, and we cannot detect it from env\\\") file_target\",\n \"specific language governing permissions and limitations # under the License.\",\n \"out = py_str(out) if proc.returncode == 0: release_line = [l\",\n \"NOTE: ccbin option can be used to tell nvcc where\",\n \"Parameters ---------- compute_version : str, optional compute capability of a\",\n \"ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver\",\n \"if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else:\",\n \"under the License is distributed on an # \\\"AS IS\\\"\",\n \"cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" %\",\n \"minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No\",\n \"if target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major,\",\n \"BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either\",\n \"target is None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore\",\n \"AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1]\",\n \"= parse_compute_version(compute_version) if major >= 7: return True return False\",\n \"be str or list of str\\\") cmd += [\\\"-o\\\", file_target]\",\n \"the target attributes, then the global scope, and finally the\",\n \"your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] # Compute\",\n \"= [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor =\",\n \"\\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #\",\n \"[\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch\",\n \"warnings.warn( \\\"Tensorcore will be disabled due to no CUDA architecture\",\n \"1. Target if target: if \\\"arch\\\" in target.attrs: compute_version =\",\n \"arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy)\",\n \"= AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 3.\",\n \"if compute_version isn't specified. \\\"\\\"\\\" if compute_version is None: if\",\n \"bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty result\",\n \"import os import warnings import tvm._ffi from tvm.runtime import ndarray\",\n \"On Windows it is not in the path by default.\",\n \"in the system\\\"\\\"\\\" from __future__ import absolute_import as _abs import\",\n \"use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is\",\n \"os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path\",\n \"major >= 6: return True return False def have_tensorcore(compute_version=None, target=None):\",\n \"distributed with this work for additional information # regarding copyright\",\n \"= \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find\",\n \"def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of compilation\",\n \"\\\"\\\"\\\"Either int8 support is provided in the compute capability or\",\n \"not Parameters ---------- compute_version : str, optional compute capability of\",\n \"def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the compute\",\n \"disabled due to no CUDA architecture specified.\\\" \\\"Try specifying it\",\n \"number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor\",\n \"cuda_ver < 10.0: return False return True except RuntimeError: return\",\n \"+ \\\".\\\" + minor # 2. Global scope from tvm.autotvm.env\",\n \"for the # specific language governing permissions and limitations #\",\n \"elif isinstance(options, list): cmd += options else: raise ValueError(\\\"options must\",\n \"cmd += options else: raise ValueError(\\\"options must be str or\",\n \"to do runtime compiler detection, we require nvcc is configured\",\n \"# if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path]\",\n \"ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing\",\n \"Parameters ---------- target : tvm.target.Target, optional The compilation target Returns\",\n \"if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd\",\n \"compute_version : str compute capability of a GPU (e.g. \\\"6.0\\\")\",\n \"tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or\",\n \"\\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise\",\n \"else: raise ValueError(\\\"options must be str or list of str\\\")\",\n \"See the License for the # specific language governing permissions\",\n \"to in writing, # software distributed under the License is\",\n \"selected_ver < ver <= arch: selected_ver = ver selected_path =\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"by adding '-arch=sm_xx' to your target.\\\" ) return None def\",\n \"disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def\",\n \"string to divide major and minor version Parameters ---------- compute_version\",\n \"+= options else: raise ValueError(\\\"options must be str or list\",\n \"\\\"\\\"\\\"Utility function to get cuda version Parameters ---------- cuda_path :\",\n \"release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0]\",\n \"find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def\",\n \"(e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >=\",\n \"version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError:\",\n \"in int Returns ------- path : str Path to libdevice.\",\n \"find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch :\",\n \"str The additional options path_target : str, optional Output file.\",\n \"\\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not\",\n \"file # distributed with this work for additional information #\",\n \"version number minor : int minor version number \\\"\\\"\\\" split_ver\",\n \"# https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3:\",\n \"compute_version = major + \\\".\\\" + minor major, _ =\",\n \"msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out)\",\n \"cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if\",\n \"cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it\",\n \"= subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out =\",\n \"path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path)\",\n \"optional compute capability of a GPU (e.g. \\\"7.0\\\"). target :\",\n \"else: cmd += [\\\"-arch\\\", arch] if options: if isinstance(options, str):\",\n \"< 10.0: return False return True except RuntimeError: return False\",\n \"\\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\")\",\n \"file_target = path_target if path_target else temp_target cmd = [\\\"nvcc\\\"]\",\n \"to find libdevice Parameters ---------- arch : int The compute\",\n \"CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with\",\n \"try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return\",\n \"path_target : str, optional Output file. Return ------ cubin :\",\n \"target=None): \\\"\\\"\\\"Either TensorCore support is provided in the compute capability\",\n \"return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide\",\n \"to no CUDA architecture specified.\\\" \\\"Try specifying it by adding\",\n \"------- path : str Path to cuda root. \\\"\\\"\\\" if\",\n \"cannot detect it from env\\\") file_target = path_target if path_target\",\n \"raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def have_fp16(compute_version):\",\n \"py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path =\",\n \"open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\"\",\n \"= target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\"\",\n \"from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major,\",\n \"\\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()\",\n \"compute_version: str compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\"\",\n \"\\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 6:\",\n \"implied. See the License for the # specific language governing\",\n \"support is provided in the compute capability or not Parameters\",\n \"os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path\",\n \"to you under the Apache License, Version 2.0 (the #\",\n \"find libdevice Parameters ---------- arch : int The compute architecture\",\n \"version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged\",\n \"is configured # correctly by default. # if cxx_compiler_path !=\",\n \"10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\")\",\n \"_) = proc.communicate() if proc.returncode != 0: msg = code\",\n \"path_target else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" %\",\n \"for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return\",\n \"+ minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn(\",\n \"have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the compute capability\",\n \"if cuda_ver < 10.0: return False return True except RuntimeError:\",\n \"= path_target if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd\",\n \"with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is None:\",\n \"may not use this file except in compliance # with\",\n \"arch: selected_ver = ver selected_path = fn if selected_path is\",\n \"passed, and we cannot detect it from env\\\") file_target =\",\n \"= [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\",\n \"major : int major version number minor : int minor\",\n \"GPU device (if it exists). Parameters ---------- target : tvm.target.Target,\",\n \"target, will be used to determine arch if compute_version isn't\",\n \"bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir() if target\",\n \"return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support\",\n \"is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find\",\n \"and minor version Parameters ---------- compute_version : str compute capability\",\n \"target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to no CUDA\",\n \"= py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path\",\n \"2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel\",\n \"list of str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code]\",\n \"isn't specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version\",\n \"import subprocess import os import warnings import tvm._ffi from tvm.runtime\",\n \"not Parameters ---------- compute_version: str compute capability of a GPU\",\n \"# Because it is hard to do runtime compiler detection,\",\n \"arch : int The compute architecture in int Returns -------\",\n \"License, Version 2.0 (the # \\\"License\\\"); you may not use\",\n \"compilation target. Looks for the arch in three different places,\",\n \"\\\"version.txt\\\") try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\",\",\n \"either express or implied. See the License for the #\",\n \"the system\\\"\\\"\\\" from __future__ import absolute_import as _abs import subprocess\",\n \"subprocess import os import warnings import tvm._ffi from tvm.runtime import\",\n \"out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect\",\n \"options : str or list of str The additional options\",\n \"get cuda version Parameters ---------- cuda_path : str Path to\",\n \"[f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2])\",\n \"return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot\",\n \"callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\")\",\n \"ValueError(\\\"options must be str or list of str\\\") cmd +=\",\n \"5 and minor == 3: return True if major >=\",\n \"bytearray The bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir()\",\n \"in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version =\",\n \": str Path to cuda root. Returns ------- version :\",\n \"will be disabled due to no CUDA architecture specified.\\\" \\\"Try\",\n \"raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code =\",\n \"as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2])\",\n \"\\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16 support in\",\n \"parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major and minor\",\n \"Parameters ---------- compute_version : str compute capability of a GPU\",\n \"error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is\",\n \": tvm.target.Target, optional The compilation target, will be used to\",\n \"find cuda path Returns ------- path : str Path to\",\n \"additional information # regarding copyright ownership. The ASF licenses this\",\n \"= \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed,\",\n \"to find cuda path Returns ------- path : str Path\",\n \"capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target\",\n \"determine arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version is\",\n \"as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error:\",\n \"+= [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)\",\n \"AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 3. GPU\",\n \"case it is not in the path. On Windows it\",\n \"cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd\",\n \"architecture was specified or GPU detected.\\\" \\\"Try specifying it by\",\n \"split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1])\",\n \"# fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if\",\n \"repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try:\",\n \"See the NOTICE file # distributed with this work for\",\n \"fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major\",\n \"compilation target, will be used to determine arch if compute_version\",\n \"path : str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\"\",\n \".._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile\",\n \"proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if\",\n \"def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters ----------\",\n \"the arch in three different places, first in the target\",\n \"\\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\"\",\n \"def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the compute\",\n \"selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0,\",\n \"CUDA architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to\",\n \"major, _ = parse_compute_version(compute_version) if major >= 8: return True\",\n \"be disabled due to no CUDA architecture specified.\\\" \\\"Try specifying\",\n \"isinstance(options, list): cmd += options else: raise ValueError(\\\"options must be\",\n \"+ \\\".\\\" + minor major, _ = parse_compute_version(compute_version) if major\",\n \"Apache License, Version 2.0 (the # \\\"License\\\"); you may not\",\n \"arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch):\",\n \"cuda version Parameters ---------- cuda_path : str Path to cuda\",\n \"get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of compilation target.\",\n \"\\\"Tensorcore will be disabled due to no CUDA architecture specified.\\\"\",\n \"return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return\",\n \"+= [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd +=\",\n \"capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ =\",\n \"number minor : int minor version number \\\"\\\"\\\" split_ver =\",\n \"cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version\",\n \"and finally the GPU device (if it exists). Parameters ----------\",\n \"6: return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore\",\n \"architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your\",\n \"with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return\",\n \"proc.communicate() if proc.returncode != 0: msg = code msg +=\",\n \"= get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True\",\n \": int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try:\",\n \"minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major =\",\n \"major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" +\",\n \"is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from\",\n \"\\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\",\",\n \"\\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code\",\n \"\\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty result is\",\n \"exists). Parameters ---------- target : tvm.target.Target, optional The compilation target\",\n \"file except in compliance # with the License. You may\",\n \"\\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\" from __future__\",\n \"if arch is None: if nd.gpu(0).exist: # auto detect the\",\n \"% target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch else:\",\n \"error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read())\",\n \"# specific language governing permissions and limitations # under the\",\n \"specified or GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx'\",\n \"= get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2,\",\n \"the global scope, and finally the GPU device (if it\",\n \"if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must\",\n \"os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"):\",\n \"target format arch : str The architecture options : str\",\n \"proc.returncode != 0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\"\",\n \"you may not use this file except in compliance #\",\n \"divide major and minor version Parameters ---------- compute_version : str\",\n \"else: raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect\",\n \"the compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else:\",\n \"target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch else: cmd\",\n \"if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified\",\n \"nd from . import utils from .._ffi.base import py_str def\",\n \"not in the path. On Windows it is not in\",\n \"root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd =\",\n \"first in the target attributes, then the global scope, and\",\n \"specifying it by adding '-arch=sm_xx' to your target.\\\" ) return\",\n \"the c++ compiler # just in case it is not\",\n \"parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions\",\n \") return False compute_version = target.attrs[\\\"arch\\\"] # Compute version will\",\n \"use this file except in compliance # with the License.\",\n \"str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major,\",\n \"cuda root. Returns ------- version : float The cuda version\",\n \"major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from\",\n \"str or list of str The additional options path_target :\",\n \"proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out\",\n \"Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver =\",\n \"compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\")\",\n \"contributor license agreements. See the NOTICE file # distributed with\",\n \"major version number minor : int minor version number \\\"\\\"\\\"\",\n \"# correctly by default. # if cxx_compiler_path != \\\"\\\": #\",\n \"---------- cuda_path : str Path to cuda root. Returns -------\",\n \"to your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute\",\n \"Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if\",\n \"AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" +\",\n \"raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return data def\",\n \"= code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise\",\n \"arch is None: if nd.gpu(0).exist: # auto detect the compute\",\n \"3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture\",\n \"= os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f:\",\n \"the GPU device (if it exists). Parameters ---------- target :\",\n \"str compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major,\",\n \"(e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation target, will\",\n \"+ minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope\",\n \"return major, minor except (IndexError, ValueError) as err: # pylint:\",\n \"return True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16\",\n \"is None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will\",\n \"= fn if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice\",\n \"Returns ------- major : int major version number minor :\",\n \"is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target\",\n \"The bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir() if\",\n \"False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try:\",\n \"an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path =\",\n \"l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version =\",\n \"in the path by default. # However, we cannot use\",\n \"if options: if isinstance(options, str): cmd += [options] elif isinstance(options,\",\n \"---------- compute_version: str compute capability of a GPU (e.g. \\\"6.0\\\")\",\n \"nvcc compiler in the system\\\"\\\"\\\" from __future__ import absolute_import as\",\n \"the runtime env. # Because it is hard to do\",\n \"\\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express\",\n \"return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support\",\n \"Parameters ---------- arch : int The compute architecture in int\",\n \"compute capability of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target,\",\n \"if target is None or \\\"arch\\\" not in target.attrs: warnings.warn(\",\n \"with this work for additional information # regarding copyright ownership.\",\n \"+ minor major, _ = parse_compute_version(compute_version) if major >= 7:\",\n \"arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not\",\n \"read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to\",\n \"as _abs import subprocess import os import warnings import tvm._ffi\",\n \"proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if\",\n \"return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\"\",\n \"code. target : str The target format arch : str\",\n \"a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation\",\n \"repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0\",\n \"temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code,\",\n \"ver <= arch: selected_ver = ver selected_path = fn if\",\n \"f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda\",\n \"get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters ---------- cuda_path\",\n \"(if it exists). Parameters ---------- target : tvm.target.Target, optional The\",\n \"compute capability string to divide major and minor version Parameters\",\n \"utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target\",\n \"work for additional information # regarding copyright ownership. The ASF\",\n \"os import warnings import tvm._ffi from tvm.runtime import ndarray as\",\n \"return major + \\\".\\\" + minor # 3. GPU if\",\n \"True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support\",\n \"+= arch else: cmd += [\\\"-arch\\\", arch] if options: if\",\n \"form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major +\",\n \"major == 5 and minor == 3: return True if\",\n \"distributed under the License is distributed on an # \\\"AS\",\n \"(e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >=\",\n \"we require nvcc is configured # correctly by default. #\",\n \"cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd\",\n \"# just in case it is not in the path.\",\n \"the path. On Windows it is not in the path\",\n \"in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path\",\n \"os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd,\",\n \"False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the\",\n \"# software distributed under the License is distributed on an\",\n \"= find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return\",\n \"disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\" from\",\n \"if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for arch\",\n \"compute_version = target.attrs[\\\"arch\\\"] # Compute version will be in the\",\n \"= target.attrs[\\\"arch\\\"] # Compute version will be in the form\",\n \"= bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty\",\n \"three different places, first in the target attributes, then the\",\n \"the License. You may obtain a copy of the License\",\n \"invoke nvcc compiler in the system\\\"\\\"\\\" from __future__ import absolute_import\",\n \"absolute_import as _abs import subprocess import os import warnings import\",\n \"The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not\",\n \"if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"]\",\n \"of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version)\",\n \"str, optional compute capability of a GPU (e.g. \\\"7.0\\\"). target\",\n \"if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1,\",\n \"return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability\",\n \"we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because\",\n \"find the c++ compiler # just in case it is\",\n \"to get cuda version Parameters ---------- cuda_path : str Path\",\n \"and minor == 3: return True if major >= 6:\",\n \"== 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path,\",\n \"compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if\",\n \"under the Apache License, Version 2.0 (the # \\\"License\\\"); you\",\n \"cubin \\\"\\\"\\\" temp = utils.tempdir() if target not in [\\\"cubin\\\",\",\n \"True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is\",\n \"!= \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd,\",\n \"governing permissions and limitations # under the License. # pylint:\",\n \"\\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot\",\n \"data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return data\",\n \"arch] if options: if isinstance(options, str): cmd += [options] elif\",\n \": float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\")\",\n \"= os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch)\",\n \"distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR\",\n \"is provided in the compute capability or not Parameters ----------\",\n \"regarding copyright ownership. The ASF licenses this file # to\",\n \"if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\")\",\n \"\\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 6: return\",\n \": bytearray The bytearray of the cubin \\\"\\\"\\\" temp =\",\n \"or agreed to in writing, # software distributed under the\",\n \"return True if major >= 6: return True return False\",\n \"it is not in the path. On Windows it is\",\n \"# 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint:\",\n \"== 0: release_line = [l for l in out.split(\\\"\\\\n\\\") if\",\n \"compute_version : str compute capability of a GPU (e.g. \\\"6.1\\\")\",\n \">= 7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA\",\n \"os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str\",\n \"if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc\",\n \"Target if target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"]\",\n \"cuda path Returns ------- path : str Path to cuda\",\n \"\\\"release\\\" in l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")]\",\n \": tvm.target.Target, optional The compilation target Returns ------- compute_version :\",\n \"for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def\",\n \"\\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16 support\",\n \"no CUDA architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx'\",\n \"path_target if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd +=\",\n \"_ = parse_compute_version(compute_version) if major >= 8: return True return\",\n \"is None: if nd.gpu(0).exist: # auto detect the compute arch\",\n \"detect it from env\\\") file_target = path_target if path_target else\",\n \"support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5\",\n \"major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor\",\n \"[\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =\",\n \"os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\",\n \"or more contributor license agreements. See the NOTICE file #\",\n \"as nd from . import utils from .._ffi.base import py_str\",\n \"temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if\",\n \"in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if\",\n \"if selected_ver < ver <= arch: selected_ver = ver selected_path\",\n \"a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target:\",\n \"\\\"\\\"\\\"Parse compute capability string to divide major and minor version\",\n \"compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC\",\n \"f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor)\",\n \"os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except\",\n \"capability of a GPU (e.g. \\\"6.0\\\") Returns ------- major :\",\n \": str compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\"\",\n \"from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None):\",\n \"this work for additional information # regarding copyright ownership. The\",\n \"env. # Because it is hard to do runtime compiler\",\n \"target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be\",\n \"= os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA\",\n \"permissions and limitations # under the License. # pylint: disable=invalid-name\",\n \"Returns ------- path : str Path to cuda root. \\\"\\\"\\\"\",\n \"in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise\",\n \"the NOTICE file # distributed with this work for additional\",\n \"True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is\",\n \"10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else:\",\n \"== 5 and minor == 3: return True if major\",\n \"for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver =\",\n \"in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\"\",\n \"However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. #\",\n \"= [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0]\",\n \"if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read\",\n \"file_target] cmd += [temp_code] # NOTE: ccbin option can be\",\n \"detection, we require nvcc is configured # correctly by default.\",\n \"GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major\",\n \"in the compute capability or not Parameters ---------- compute_version: str\",\n \"_abs import subprocess import os import warnings import tvm._ffi from\",\n \"\\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version\",\n \"adding '-arch=sm_xx' to your target.\\\" ) return None def parse_compute_version(compute_version):\",\n \"the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major\",\n \"finally the GPU device (if it exists). Parameters ---------- target\",\n \"stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if\",\n \"in release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields if\",\n \"(9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path =\",\n \": str The architecture options : str or list of\",\n \"(e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\"\",\n \"str): cmd += [options] elif isinstance(options, list): cmd += options\",\n \"(e.g. \\\"6.0\\\") Returns ------- major : int major version number\",\n \"cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1,\",\n \"cuda code with NVCC from env. Parameters ---------- code :\",\n \"compute_version : str, optional compute capability of a GPU (e.g.\",\n \"py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data:\",\n \"if not data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\")\",\n \"RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get\",\n \"find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False\",\n \"else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target,\",\n \"+= \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data =\",\n \"# Compute version will be in the form \\\"sm_{major}{minor}\\\" major,\",\n \"out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto\",\n \"GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major\",\n \"stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0:\",\n \"= temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code)\",\n \"\\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\" in target.attrs:\",\n \"limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to\",\n \"raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility\",\n \"libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if\",\n \"int Returns ------- path : str Path to libdevice. \\\"\\\"\\\"\",\n \"KIND, either express or implied. See the License for the\",\n \"try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor\",\n \"+= [options] elif isinstance(options, list): cmd += options else: raise\",\n \"capability of compilation target. Looks for the arch in three\",\n \"by adding '-arch=sm_xx' to your target.\\\" ) return False compute_version\",\n \": str The cuda code. target : str The target\",\n \"str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path =\",\n \"disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major +\",\n \"isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd +=\",\n \"if proc.returncode != 0: msg = code msg += \\\"\\\\nCompilation\",\n \"RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation\",\n \"have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path =\",\n \"# Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\",\",\n \"lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None\",\n \"a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) #\",\n \"10.0: return False return True except RuntimeError: return False def\",\n \"data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error:\",\n \"cmd += [temp_code] # NOTE: ccbin option can be used\",\n \"have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the compute capability\",\n \"= proc.communicate() out = py_str(out) if proc.returncode == 0: return\",\n \"RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path)\",\n \"= parse_compute_version(compute_version) if major >= 8: return True return False\",\n \"or implied. See the License for the # specific language\",\n \"path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters ----------\",\n \"express or implied. See the License for the # specific\",\n \"arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env.\",\n \"proc.communicate() out = py_str(out) if proc.returncode == 0: release_line =\",\n \"c++ compiler # just in case it is not in\",\n \"return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def\",\n \"\\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters ---------- code\",\n \"to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor ==\",\n \"utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None,\",\n \"selected_path = fn if selected_path is None: raise RuntimeError(\\\"Cannot find\",\n \"data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns\",\n \"return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\",\",\n \"9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path,\",\n \"fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <=\",\n \"7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph\",\n \"return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path\",\n \"major >= 7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either\",\n \"have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in the compute\",\n \"Returns ------- version : float The cuda version \\\"\\\"\\\" version_file_path\",\n \"the # specific language governing permissions and limitations # under\",\n \"from env. Parameters ---------- code : str The cuda code.\",\n \"used to tell nvcc where to find the c++ compiler\",\n \"Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\")\",\n \"architecture options : str or list of str The additional\",\n \"of compilation target. Looks for the arch in three different\",\n \"not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path,\",\n \"= py_str(out) if proc.returncode == 0: release_line = [l for\",\n \"0: release_line = [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\"\",\n \"<filename>python/tvm/contrib/nvcc.py # Licensed to the Apache Software Foundation (ASF) under\",\n \"selected_ver = ver selected_path = fn if selected_path is None:\",\n \"may obtain a copy of the License at # #\",\n \"target. Looks for the arch in three different places, first\",\n \"= compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return\",\n \"\\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu\",\n \"if proc.returncode == 0: release_line = [l for l in\",\n \"it by adding '-arch=sm_xx' to your target.\\\" ) return False\",\n \"except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is\",\n \"specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\"\",\n \"RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function\",\n \"The ASF licenses this file # to you under the\",\n \"cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path):\",\n \"------- compute_version : str compute capability of a GPU (e.g.\",\n \"be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target =\",\n \"[temp_code] # NOTE: ccbin option can be used to tell\",\n \"# pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" +\",\n \"then the global scope, and finally the GPU device (if\",\n \"RuntimeError(\\\"Compilation error: empty result is generated\\\") return data def find_cuda_path():\",\n \"compute_version isn't specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist:\",\n \"version Parameters ---------- cuda_path : str Path to cuda root.\",\n \"find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return\",\n \"[\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd += [options]\",\n \"# Licensed to the Apache Software Foundation (ASF) under one\",\n \"[l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields\",\n \"warnings.warn( \\\"No CUDA architecture was specified or GPU detected.\\\" \\\"Try\",\n \": str compute capability of a GPU (e.g. \\\"6.0\\\") Returns\",\n \"of a GPU (e.g. \\\"6.0\\\") Returns ------- major : int\",\n \"temp = utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]:\",\n \"a GPU (e.g. \\\"6.0\\\") Returns ------- major : int major\",\n \"capability or not Parameters ---------- compute_version : str compute capability\",\n \"import absolute_import as _abs import subprocess import os import warnings\",\n \"out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\"))\",\n \"version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice\",\n \"in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to no\",\n \"return major + \\\".\\\" + minor # 2. Global scope\",\n \"your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability\",\n \"or not Parameters ---------- compute_version : str, optional compute capability\",\n \"tvm.runtime import ndarray as nd from . import utils from\",\n \"= ver selected_path = fn if selected_path is None: raise\",\n \"FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc =\",\n \"return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is\",\n \"+= [temp_code] # NOTE: ccbin option can be used to\",\n \"import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda\",\n \"if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver <\",\n \"def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with\",\n \"law or agreed to in writing, # software distributed under\",\n \"os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\",\",\n \"configured # correctly by default. # if cxx_compiler_path != \\\"\\\":\",\n \"Foundation (ASF) under one # or more contributor license agreements.\",\n \"cubin : bytearray The bytearray of the cubin \\\"\\\"\\\" temp\",\n \"int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError)\",\n \"if major == 5 and minor == 3: return True\",\n \"proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(),\",\n \"in the compute capability or not Parameters ---------- compute_version :\",\n \"to get compute capability of compilation target. Looks for the\",\n \"None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path =\",\n \"libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path\",\n \"tvm.target.Target, optional The compilation target Returns ------- compute_version : str\",\n \"in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return\",\n \"pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"function to get cuda version Parameters ---------- cuda_path : str\",\n \"compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major,\",\n \"= int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver =\",\n \"to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"]\",\n \"list of str The additional options path_target : str, optional\",\n \"to tell nvcc where to find the c++ compiler #\",\n \"(out, _) = proc.communicate() out = py_str(out) if proc.returncode ==\",\n \"\\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\")\",\n \"Software Foundation (ASF) under one # or more contributor license\",\n \"---------- arch : int The compute architecture in int Returns\",\n \"def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major and\",\n \"reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor\",\n \"parse_compute_version(compute_version) if major >= 6: return True return False def\",\n \"compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor major, _\",\n \"str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ:\",\n \"architecture in int Returns ------- path : str Path to\",\n \"# regarding copyright ownership. The ASF licenses this file #\",\n \"= \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\")\",\n \"scope, and finally the GPU device (if it exists). Parameters\",\n \"in compliance # with the License. You may obtain a\",\n \"# to you under the Apache License, Version 2.0 (the\",\n \"License for the # specific language governing permissions and limitations\",\n \"of the cubin \\\"\\\"\\\" temp = utils.tempdir() if target not\",\n \"can be used to tell nvcc where to find the\",\n \"nvcc is configured # correctly by default. # if cxx_compiler_path\",\n \"= proc.communicate() if proc.returncode != 0: msg = code msg\",\n \"cmd += [\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd\",\n \"compilation target Returns ------- compute_version : str compute capability of\",\n \"minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor #\",\n \"GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was\",\n \"OR CONDITIONS OF ANY # KIND, either express or implied.\",\n \"code with NVCC from env. Parameters ---------- code : str\",\n \"= utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise\",\n \"Parameters ---------- cuda_path : str Path to cuda root. Returns\",\n \"release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:]\",\n \"minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor #\",\n \"# cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\",\n \"return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility\",\n \"of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The\",\n \"argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is\",\n \"by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the\",\n \"# auto detect the compute arch argument arch = \\\"sm_\\\"\",\n \"path : str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path()\",\n \"in the target attributes, then the global scope, and finally\",\n \"return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\"\",\n \"import ndarray as nd from . import utils from .._ffi.base\",\n \"to divide major and minor version Parameters ---------- compute_version :\",\n \"a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if\",\n \"str compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major,\",\n \"raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise\",\n \"get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except\",\n \"this file # to you under the Apache License, Version\",\n \"str or list of str\\\") cmd += [\\\"-o\\\", file_target] cmd\",\n \"err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\"\",\n \"+= py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not\",\n \"int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major\",\n \": str The target format arch : str The architecture\",\n \"if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\"\",\n \"= proc.communicate() out = py_str(out) if proc.returncode == 0: release_line\",\n \"copyright ownership. The ASF licenses this file # to you\",\n \"find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to\",\n \"\\\"6.0\\\") Returns ------- major : int major version number minor\",\n \"False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the\",\n \"return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in\",\n \"places, first in the target attributes, then the global scope,\",\n \"path Returns ------- path : str Path to cuda root.\",\n \"!= 0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg\",\n \"cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2):\",\n \"generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda\",\n \"of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if\",\n \"str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the\",\n \"in writing, # software distributed under the License is distributed\",\n \"target : str The target format arch : str The\",\n \"capability of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional\",\n \"\\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" )\",\n \"try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\")\",\n \": str, optional Output file. Return ------ cubin : bytearray\",\n \"if \\\"release\\\" in l][0] release_fields = [s.strip() for s in\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT\",\n \"\\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue\",\n \": int major version number minor : int minor version\",\n \"for s in release_line.split(\\\",\\\")] release_version = [f[1:] for f in\",\n \"cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find\",\n \"float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"),\",\n \"optional Output file. Return ------ cubin : bytearray The bytearray\",\n \"selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if\",\n \"optional The compilation target Returns ------- compute_version : str compute\",\n \"[os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,\",\n \"default. # if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\",\",\n \"= compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 2.\",\n \"\\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path()\",\n \"Looks for the arch in three different places, first in\",\n \"of str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code] #\",\n \"major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version\",\n \"def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns -------\",\n \"release_line = [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in\",\n \"# \\\"License\\\"); you may not use this file except in\",\n \"cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc =\",\n \"fp16 support is provided in the compute capability or not\",\n \"Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return\",\n \"selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError:\",\n \"# \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"provided in the compute capability or not Parameters ---------- compute_version\",\n \"provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver\",\n \"different places, first in the target attributes, then the global\",\n \"\\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,\",\n \"to the Apache Software Foundation (ASF) under one # or\",\n \"\\\"License\\\"); you may not use this file except in compliance\",\n \"cuda code. target : str The target format arch :\",\n \"temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"]\",\n \"+= [\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd +=\",\n \"import utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None,\",\n \"cmd += [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin\",\n \"return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or GPU\",\n \"_ = parse_compute_version(compute_version) if major >= 7: return True return\",\n \"0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg +=\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"Output file. Return ------ cubin : bytearray The bytearray of\",\n \"lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged\",\n \"not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver\",\n \"compute capability of a GPU (e.g. \\\"6.0\\\") Returns ------- major\",\n \"if nd.gpu(0).exist: # auto detect the compute arch argument arch\",\n \"\\\"\\\"\\\" temp = utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\",\",\n \"function to find libdevice Parameters ---------- arch : int The\",\n \"provided in the compute capability or not Parameters ---------- compute_version:\",\n \"path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if\",\n \"major, _ = parse_compute_version(compute_version) if major >= 6: return True\",\n \"The compilation target, will be used to determine arch if\",\n \"# distributed with this work for additional information # regarding\",\n \"= os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA\",\n \"writing, # software distributed under the License is distributed on\",\n \"---------- code : str The cuda code. target : str\",\n \"\\\"\\\"\\\"Utility function to find cuda path Returns ------- path :\",\n \"= [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)\",\n \"scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch:\",\n \"version will be in the form \\\"sm_{major}{minor}\\\" major, minor =\",\n \"warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function\",\n \"parse_compute_version(compute_version) if major >= 7: return True return False def\",\n \"capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor =\",\n \"to cuda root. Returns ------- version : float The cuda\",\n \"was specified or GPU detected.\\\" \\\"Try specifying it by adding\",\n \"major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor\",\n \"capability or not Parameters ---------- compute_version : str, optional compute\",\n \"---------- compute_version : str, optional compute capability of a GPU\",\n \"in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and\",\n \"arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version is None:\",\n \"used to determine arch if compute_version isn't specified. \\\"\\\"\\\" if\",\n \"str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" #\",\n \"not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path,\",\n \"raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect it\",\n \"CONDITIONS OF ANY # KIND, either express or implied. See\",\n \"options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters\",\n \"detect the compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\"))\",\n \"The compute architecture in int Returns ------- path : str\",\n \"from tvm.runtime import ndarray as nd from . import utils\",\n \"< ver <= arch: selected_ver = ver selected_path = fn\",\n \"if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None\",\n \"not Parameters ---------- compute_version : str compute capability of a\",\n \"11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path):\",\n \"options: if isinstance(options, str): cmd += [options] elif isinstance(options, list):\",\n \"compute architecture in int Returns ------- path : str Path\",\n \"have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the compute capability\",\n \"License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in\",\n \"ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target)\",\n \"the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH\",\n \"ndarray as nd from . import utils from .._ffi.base import\",\n \"runtime env. # Because it is hard to do runtime\",\n \"subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode !=\",\n \"minor major, _ = parse_compute_version(compute_version) if major >= 7: return\",\n \"is not passed, and we cannot detect it from env\\\")\",\n \"tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or\",\n \"version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0])\",\n \"for additional information # regarding copyright ownership. The ASF licenses\",\n \"\\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path,\",\n \"# Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver\",\n \"10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for\",\n \"compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise\",\n \"the Apache Software Foundation (ASF) under one # or more\",\n \"[\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx,\",\n \">= 6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8\",\n \"try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver <\",\n \"correctly by default. # if cxx_compiler_path != \\\"\\\": # cmd\",\n \"# # Unless required by applicable law or agreed to\",\n \"py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code\",\n \"Version 2.0 (the # \\\"License\\\"); you may not use this\",\n \"str, optional Output file. Return ------ cubin : bytearray The\",\n \"= temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\")\",\n \"0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in\",\n \"fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with\",\n \"\\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target,\",\n \"cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,\",\n \"\\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd =\",\n \"if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\"\",\n \"str The target format arch : str The architecture options\",\n \"= parse_compute_version(compute_version) # fp 16 support in reference to: #\",\n \"one # or more contributor license agreements. See the NOTICE\",\n \"if major >= 7: return True return False def have_cudagraph():\",\n \": int The compute architecture in int Returns ------- path\",\n \"compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"return False return True except RuntimeError: return False def have_bf16(compute_version):\",\n \"str Path to cuda root. Returns ------- version : float\",\n \"= subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode\",\n \"os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\")\",\n \"major + \\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist:\",\n \"must be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target\",\n \": str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in\",\n \"if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path =\",\n \"temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as\",\n \"GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if\",\n \"\\\".\\\" + minor # 2. Global scope from tvm.autotvm.env import\",\n \"target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] # Compute version\",\n \"GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your\",\n \"\\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due\",\n \"cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot\",\n \"from __future__ import absolute_import as _abs import subprocess import os\",\n \"due to no CUDA architecture specified.\\\" \\\"Try specifying it by\",\n \"to find the c++ compiler # just in case it\",\n \"except in compliance # with the License. You may obtain\",\n \"find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu\",\n \"GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation target,\",\n \"in the path. On Windows it is not in the\",\n \"\\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version\",\n \"= int(split_ver[1]) return major, minor except (IndexError, ValueError) as err:\",\n \"minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor\",\n \"None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major\",\n \"version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): #\",\n \"Because it is hard to do runtime compiler detection, we\",\n \"(out, _) = proc.communicate() if proc.returncode != 0: msg =\",\n \"to determine arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version\",\n \"compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor\",\n \"NOTICE file # distributed with this work for additional information\",\n \"libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get\",\n \"continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch:\",\n \"this file except in compliance # with the License. You\",\n \"= find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): #\",\n \"the compute capability or not Parameters ---------- compute_version : str,\",\n \"target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string\",\n \"compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _\",\n \"[\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list):\",\n \"of str The additional options path_target : str, optional Output\",\n \"= parse_compute_version(compute_version) if major >= 6: return True return False\",\n \"license agreements. See the NOTICE file # distributed with this\",\n \"nvcc where to find the c++ compiler # just in\",\n \"pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err))\",\n \"as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: #\",\n \"required by applicable law or agreed to in writing, #\",\n \"additional options path_target : str, optional Output file. Return ------\",\n \"version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as\",\n \"Windows it is not in the path by default. #\",\n \"parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support\",\n \"CUDA architecture was specified or GPU detected.\\\" \\\"Try specifying it\",\n \"must be str or list of str\\\") cmd += [\\\"-o\\\",\",\n \"\\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided\",\n \"\\\".\\\" + minor major, _ = parse_compute_version(compute_version) if major >=\",\n \"https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return\",\n \"proc.returncode == 0: release_line = [l for l in out.split(\\\"\\\\n\\\")\",\n \"and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility\",\n \"= os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not\",\n \"\\\"\\\"\\\"Either TensorCore support is provided in the compute capability or\",\n \"cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,\",\n \"libdevice Parameters ---------- arch : int The compute architecture in\",\n \"Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path,\",\n \"The cuda code. target : str The target format arch\",\n \"because the runtime env. # Because it is hard to\",\n \"the License for the # specific language governing permissions and\",\n \"11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn\",\n \"Returns ------- compute_version : str compute capability of a GPU\",\n \"[options] elif isinstance(options, list): cmd += options else: raise ValueError(\\\"options\",\n \") return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to\",\n \"compute_version = tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\"\",\n \"---------- target : tvm.target.Target, optional The compilation target Returns -------\",\n \"return False compute_version = target.attrs[\\\"arch\\\"] # Compute version will be\",\n \"ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect it from\",\n \"import tvm._ffi from tvm.runtime import ndarray as nd from .\",\n \"ANY # KIND, either express or implied. See the License\",\n \"11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in\",\n \"major, minor = parse_compute_version(compute_version) # fp 16 support in reference\",\n \"the License is distributed on an # \\\"AS IS\\\" BASIS,\",\n \"we cannot detect it from env\\\") file_target = path_target if\",\n \"in case it is not in the path. On Windows\",\n \"in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip() for\",\n \"device (if it exists). Parameters ---------- target : tvm.target.Target, optional\",\n \"f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd\",\n \"get compute capability of compilation target. Looks for the arch\",\n \"6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support\",\n \"\\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path\",\n \"None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be\",\n \"or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled\",\n \"file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters\",\n \"bf16 support is provided in the compute capability or not\",\n \"file. Return ------ cubin : bytearray The bytearray of the\",\n \"\\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path)\",\n \"= os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver\",\n \"except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None):\",\n \"\\\"\\\"\\\"Either fp16 support is provided in the compute capability or\",\n \"\\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\",\",\n \"TensorCore support is provided in the compute capability or not\",\n \"compute capability or not Parameters ---------- compute_version: str compute capability\",\n \"or not Parameters ---------- compute_version: str compute capability of a\",\n \"cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function\",\n \"if major >= 6: return True return False def have_tensorcore(compute_version=None,\",\n \"int8 support is provided in the compute capability or not\",\n \"will be in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1]\",\n \"cmd += [options] elif isinstance(options, list): cmd += options else:\",\n \"# pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the\",\n \"\\\"No CUDA architecture was specified or GPU detected.\\\" \\\"Try specifying\",\n \"target : tvm.target.Target, optional The compilation target Returns ------- compute_version\",\n \"GPU (e.g. \\\"6.0\\\") Returns ------- major : int major version\",\n \"be used to determine arch if compute_version isn't specified. \\\"\\\"\\\"\",\n \"subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out)\",\n \"None: if nd.gpu(0).exist: # auto detect the compute arch argument\",\n \"not use this file except in compliance # with the\",\n \"tell nvcc where to find the c++ compiler # just\",\n \"\\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"]\",\n \"Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver =\",\n \"\\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =\",\n \"cuda_path : str Path to cuda root. Returns ------- version\",\n \"compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 2. Global\",\n \"minor version Parameters ---------- compute_version : str compute capability of\",\n \"will be used to determine arch if compute_version isn't specified.\",\n \"def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch\",\n \"tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or GPU detected.\\\"\",\n \"major >= 6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either\",\n \"+ \\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist: return\",\n \"RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility\",\n \"not data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return\",\n \"attributes, then the global scope, and finally the GPU device\",\n \"= 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver\",\n \"import warnings import tvm._ffi from tvm.runtime import ndarray as nd\",\n \"Unless required by applicable law or agreed to in writing,\",\n \"target attributes, then the global scope, and finally the GPU\",\n \"path. On Windows it is not in the path by\",\n \"3: return True if major >= 6: return True return\",\n \"where to find the c++ compiler # just in case\",\n \"\\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and\",\n \"arch else: cmd += [\\\"-arch\\\", arch] if options: if isinstance(options,\",\n \"+ str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in\",\n \"not in the path by default. # However, we cannot\",\n \"compiler detection, we require nvcc is configured # correctly by\",\n \"pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd,\",\n \"The target format arch : str The architecture options :\",\n \"# NOTE: ccbin option can be used to tell nvcc\",\n \"compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major +\",\n \"(ASF) under one # or more contributor license agreements. See\",\n \"it is hard to do runtime compiler detection, we require\",\n \"os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver =\",\n \"compiler in the system\\\"\\\"\\\" from __future__ import absolute_import as _abs\",\n \"= [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch,\",\n \"# or more contributor license agreements. See the NOTICE file\",\n \": str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path\",\n \"agreed to in writing, # software distributed under the License\",\n \"str The cuda code. target : str The target format\",\n \"minor == 3: return True if major >= 6: return\",\n \"option can be used to tell nvcc where to find\",\n \"\\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path\",\n \"\\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path):\",\n \"minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise\",\n \"except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute\",\n \"return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,\",\n \"------ cubin : bytearray The bytearray of the cubin \\\"\\\"\\\"\",\n \"stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode\",\n \": str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\"\",\n \"in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc =\",\n \"\\\"\\\"\\\"Either bf16 support is provided in the compute capability or\",\n \"version : float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path,\",\n \"\\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch : int\",\n \"runtime compiler detection, we require nvcc is configured # correctly\",\n \"0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")):\",\n \"the compute capability or not Parameters ---------- compute_version: str compute\",\n \"l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip()\",\n \"code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg)\",\n \"with NVCC from env. Parameters ---------- code : str The\",\n \"stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg\",\n \"options else: raise ValueError(\\\"options must be str or list of\",\n \"release_version = [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor\",\n \"compiler # just in case it is not in the\",\n \"int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver = ver\",\n \"False compute_version = target.attrs[\\\"arch\\\"] # Compute version will be in\",\n \"isinstance(arch, list): cmd += arch else: cmd += [\\\"-arch\\\", arch]\",\n \"(the # \\\"License\\\"); you may not use this file except\",\n \"open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is None: if\",\n \"[\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin option can\",\n \"version Parameters ---------- compute_version : str compute capability of a\",\n \"float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch):\",\n \"the compute capability or not Parameters ---------- compute_version : str\",\n \"float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if\",\n \"of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version)\",\n \"it from env\\\") file_target = path_target if path_target else temp_target\",\n \"ccbin option can be used to tell nvcc where to\",\n \"path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return\",\n \"True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided\",\n \"def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in the\",\n \"ASF licenses this file # to you under the Apache\",\n \"CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path\",\n \"<= arch: selected_ver = ver selected_path = fn if selected_path\",\n \"\\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()\",\n \"# pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return\",\n \"result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to\",\n \"on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS\",\n \"\\\"-O3\\\"] if isinstance(arch, list): cmd += arch else: cmd +=\",\n \"The additional options path_target : str, optional Output file. Return\",\n \"\\\"\\\"\\\"Utility function to get compute capability of compilation target. Looks\",\n \"nd.gpu(0).exist: # auto detect the compute arch argument arch =\",\n \"path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute\",\n \"ownership. The ASF licenses this file # to you under\",\n \"The compilation target Returns ------- compute_version : str compute capability\",\n \"is None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path\",\n \"tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor\",\n \"# 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA\",\n \"release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot\",\n \"int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: #\",\n \"= int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError,\",\n \"list): cmd += options else: raise ValueError(\\\"options must be str\",\n \"tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\" not in\",\n \"global scope, and finally the GPU device (if it exists).\",\n \"for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields =\",\n \"+= [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin option\",\n \"target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor =\",\n \"+ \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and we\",\n \"is not in the path. On Windows it is not\",\n \"env\\\") file_target = path_target if path_target else temp_target cmd =\",\n \"raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path,\",\n \"with the License. You may obtain a copy of the\",\n \"function to find cuda path Returns ------- path : str\",\n \"Returns ------- path : str Path to libdevice. \\\"\\\"\\\" cuda_path\",\n \"capability string to divide major and minor version Parameters ----------\",\n \"major + \\\".\\\" + minor major, _ = parse_compute_version(compute_version) if\",\n \"the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler\",\n \"optional The compilation target, will be used to determine arch\",\n \"or list of str\\\") cmd += [\\\"-o\\\", file_target] cmd +=\",\n \"Parameters ---------- code : str The cuda code. target :\",\n \"ver selected_path = fn if selected_path is None: raise RuntimeError(\\\"Cannot\",\n \"CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver\",\n \"applicable law or agreed to in writing, # software distributed\",\n \"root. Returns ------- version : float The cuda version \\\"\\\"\\\"\",\n \"compute capability of compilation target. Looks for the arch in\",\n \"minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope #\",\n \"\\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor =\",\n \"arch in three different places, first in the target attributes,\",\n \"= f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass\",\n \"NVCC from env. Parameters ---------- code : str The cuda\",\n \"target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is\",\n \"\\\"w\\\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist:\",\n \"is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES\",\n \"file # to you under the Apache License, Version 2.0\",\n \"major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except\",\n \"= compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor major,\",\n \"def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice\",\n \"warnings import tvm._ffi from tvm.runtime import ndarray as nd from\",\n \"# with the License. You may obtain a copy of\",\n \"tvm._ffi from tvm.runtime import ndarray as nd from . import\",\n \". import utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\",\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"auto detect the compute arch argument arch = \\\"sm_\\\" +\",\n \"language governing permissions and limitations # under the License. #\",\n \"\\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\" in\",\n \"{}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try:\",\n \"(IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version\",\n \"detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\"\",\n \"is not in the path by default. # However, we\",\n \"software distributed under the License is distributed on an #\",\n \"find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda\",\n \"Licensed to the Apache Software Foundation (ASF) under one #\",\n \"# under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke\",\n \"code : str The cuda code. target : str The\",\n \"if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\"\",\n \"[\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =\",\n \"error: empty result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility\",\n \"capability or not Parameters ---------- compute_version: str compute capability of\",\n \"options path_target : str, optional Output file. Return ------ cubin\",\n \"for the arch in three different places, first in the\",\n \"---------- compute_version : str compute capability of a GPU (e.g.\",\n \"int major version number minor : int minor version number\",\n \"in l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version\",\n \"under one # or more contributor license agreements. See the\",\n \"do runtime compiler detection, we require nvcc is configured #\",\n \"compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1.\",\n \"list): cmd += arch else: cmd += [\\\"-arch\\\", arch] if\",\n \"default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime\",\n \"cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()\",\n \"specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version =\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"# However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env.\",\n \"target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" +\",\n \"compute capability or not Parameters ---------- compute_version : str compute\",\n \"out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip() for s\",\n \"target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major\",\n \"arch : str The architecture options : str or list\",\n \"information # regarding copyright ownership. The ASF licenses this file\",\n \"cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path):\",\n \"not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to\",\n \"major, _ = parse_compute_version(compute_version) if major >= 7: return True\",\n \"Parameters ---------- compute_version: str compute capability of a GPU (e.g.\",\n \"the Apache License, Version 2.0 (the # \\\"License\\\"); you may\",\n \"if major >= 6: return True return False def have_int8(compute_version):\",\n \"to your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] #\",\n \"path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path =\",\n \"cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return\",\n \"capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ =\",\n \"raise ValueError(\\\"options must be str or list of str\\\") cmd\",\n \"temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file:\",\n \"@tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ----------\",\n \"function to get compute capability of compilation target. Looks for\",\n \"\\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)\",\n \"you under the Apache License, Version 2.0 (the # \\\"License\\\");\",\n \": str or list of str The additional options path_target\",\n \"os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path\",\n \"env. Parameters ---------- code : str The cuda code. target\",\n \"# KIND, either express or implied. See the License for\",\n \"of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version)\",\n \"\\\"7.0\\\"). target : tvm.target.Target, optional The compilation target, will be\",\n \"hard to do runtime compiler detection, we require nvcc is\",\n \"adding '-arch=sm_xx' to your target.\\\" ) return False compute_version =\",\n \"= major + \\\".\\\" + minor major, _ = parse_compute_version(compute_version)\",\n \"is hard to do runtime compiler detection, we require nvcc\",\n \"fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1])\",\n \"str compute capability of a GPU (e.g. \\\"6.0\\\") Returns -------\",\n \"it exists). Parameters ---------- target : tvm.target.Target, optional The compilation\",\n \"int The compute architecture in int Returns ------- path :\",\n \"except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc\",\n \"in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin,\",\n \"agreements. See the NOTICE file # distributed with this work\",\n \">= 6: return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either\",\n \"licenses this file # to you under the Apache License,\",\n \"\\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 8: return\",\n \"__future__ import absolute_import as _abs import subprocess import os import\",\n \"cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,\",\n \"by applicable law or agreed to in writing, # software\",\n \"# Unless required by applicable law or agreed to in\",\n \"return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in\",\n \"empty result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function\",\n \": str, optional compute capability of a GPU (e.g. \\\"7.0\\\").\",\n \"minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as\",\n \"path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because\",\n \"cmd += arch else: cmd += [\\\"-arch\\\", arch] if options:\",\n \"under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc\",\n \"format arch : str The architecture options : str or\",\n \"\\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc\",\n \"_) = proc.communicate() out = py_str(out) if proc.returncode == 0:\",\n \"target Returns ------- compute_version : str compute capability of a\",\n \"IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,\",\n \"\\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str =\",\n \"path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find\",\n \"or list of str The additional options path_target : str,\",\n \"_ = parse_compute_version(compute_version) if major >= 6: return True return\",\n \"\\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 8:\",\n \"else: if target is None or \\\"arch\\\" not in target.attrs:\",\n \"RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either\",\n \"License. You may obtain a copy of the License at\",\n \"find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns ------- path\",\n \"False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in\",\n \"minor = parse_compute_version(compute_version) # fp 16 support in reference to:\",\n \"You may obtain a copy of the License at #\",\n \"str The architecture options : str or list of str\",\n \"pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\"\",\n \"# 1. Target if target: if \\\"arch\\\" in target.attrs: compute_version\",\n \"tvm.target.Target, optional The compilation target, will be used to determine\",\n \"False return True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either\",\n \"RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided\",\n \"it by adding '-arch=sm_xx' to your target.\\\" ) return None\",\n \"require nvcc is configured # correctly by default. # if\",\n \"TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard\",\n \"it is not in the path by default. # However,\",\n \"support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path)\",\n \"\\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1]\",\n \"Compute version will be in the form \\\"sm_{major}{minor}\\\" major, minor\",\n \"be in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version\",\n \"system\\\"\\\"\\\" from __future__ import absolute_import as _abs import subprocess import\",\n \"compliance # with the License. You may obtain a copy\",\n \"from . import utils from .._ffi.base import py_str def compile_cuda(code,\",\n \"os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver\",\n \"by default. # if cxx_compiler_path != \\\"\\\": # cmd +=\",\n \"= None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1,\",\n \"if isinstance(arch, list): cmd += arch else: cmd += [\\\"-arch\\\",\",\n \"(e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16\",\n \"from env\\\") file_target = path_target if path_target else temp_target cmd\",\n \"msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if\",\n \"The architecture options : str or list of str The\",\n \"\\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of\",\n \"target : tvm.target.Target, optional The compilation target, will be used\",\n \"not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in\",\n \"path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters\",\n \"return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided\",\n \"Return ------ cubin : bytearray The bytearray of the cubin\",\n \"None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is\",\n \"if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor =\",\n \"== 3: return True if major >= 6: return True\"\n]","isConversational":false}}},{"rowIdx":785,"cells":{"ngram":{"kind":"list like","value":["Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific calculation from","\"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def","Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages","pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\"","division object to history using factory method create\" Calculations.add_calculation(Division.create(values)) return","def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using factory","history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear","calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages the history","def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num):","to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod","get a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def","# pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of","factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add","using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the","Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod","calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get","create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication","calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object","of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod def","return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific calculation","history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of","using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values):","result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create","@staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def","object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True","\"\"\"Add a multiplication object to history using factory method create\"\"\"","Calculations: \"\"\"Calculations class manages the history of calculations\"\"\" history =","def get_calculation(num): \"\"\" get a specific calculation from history\"\"\" return","a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values):","calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations","add_division_calculation_to_history(values): \"Add a division object to history using factory method","import Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations class","add object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get","of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number","True @staticmethod def count_history(): \"\"\"get number of items in history\"\"\"","\"Add a division object to history using factory method create\"","Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class","method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return","count_history(): \"\"\"get number of items in history\"\"\" return len(Calculations.history) @staticmethod","in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\"","manages the history of calculations\"\"\" history = [] # pylint:","\"\"\"create an addition and add object to history using factory","create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True","first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a","\"\"\" get a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod","get a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def","return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add","get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\"","the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values):","subtraction object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return","calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number of","\"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get","@staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return","Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object()","len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod","= [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the","a subtraction object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values))","\"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last","def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result()","history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return","Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return","to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result","calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history():","a multiplication object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values))","clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod","calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import","the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction","calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import","disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear()","add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using factory method","from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division","return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to","history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def","Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object","@staticmethod def add_division_calculation_to_history(values): \"Add a division object to history using","def add_division_calculation_to_history(values): \"Add a division object to history using factory","@staticmethod def get_calculation(num): \"\"\" get a specific calculation from history\"\"\"","\"\"\" get a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod","@staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def","specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\"","an addition and add object to history using factory method","generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create","Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from","calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific","Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a division object","create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a division","object to history using factory method create\" Calculations.add_calculation(Division.create(values)) return True","factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add","def add_addition_calculation_to_history(values): \"\"\"create an addition and add object to history","method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a","def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True","return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation =","calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod","history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get","@staticmethod def count_history(): \"\"\"get number of items in history\"\"\" return","object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the","@staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using","True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history","multiplication object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return","the history of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods","class Calculations: \"\"\"Calculations class manages the history of calculations\"\"\" history","last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation():","@staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add object to","@staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using","def count_history(): \"\"\"get number of items in history\"\"\" return len(Calculations.history)","history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and","history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic","Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number of items","the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history():","import Division class Calculations: \"\"\"Calculations class manages the history of","from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition","Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add object","True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history","of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a","a division object to history using factory method create\" Calculations.add_calculation(Division.create(values))","add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\" return Calculations.history.append(calculation)","[] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history","history of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod","@staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return","factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation","= Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\"","from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations:","\"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def","method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a","return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0]","to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod","import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division","history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def","#Get the result of the calculation return True @staticmethod def","\"\"\"create a subtraction object to history using factory method create\"\"\"","Class\"\"\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from","Division class Calculations: \"\"\"Calculations class manages the history of calculations\"\"\"","number of items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object():","def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value():","\"\"\"Calculation history Class\"\"\" from calc.calculations.addition import Addition from calc.calculations.subtraction import","return True @staticmethod def count_history(): \"\"\"get number of items in","get_calculation(num): \"\"\" get a specific calculation from history\"\"\" return Calculations.history[num]","add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using factory method","True @staticmethod def add_division_calculation_to_history(values): \"Add a division object to history","from calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages the","a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation):","items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last","\"\"\"get number of items in history\"\"\" return len(Calculations.history) @staticmethod def","calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an","return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic calculation","return True @staticmethod def add_division_calculation_to_history(values): \"Add a division object to","from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a","last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\"","calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation","object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True","history Class\"\"\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction","return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to","class manages the history of calculations\"\"\" history = [] #","import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication","calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get","get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get","def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using factory","@staticmethod def add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\"","of items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get","Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic calculation from","def add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\" return","\"\"\"Calculations class manages the history of calculations\"\"\" history = []","using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values):","return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1]","calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first","addition and add object to history using factory method create\"\"\"","add_addition_calculation_to_history(values): \"\"\"create an addition and add object to history using","from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication","get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod","and add object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values))"],"string":"[\n \"Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation from\",\n \"\\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def\",\n \"Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages\",\n \"pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\"\",\n \"division object to history using factory method create\\\" Calculations.add_calculation(Division.create(values)) return\",\n \"def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using factory\",\n \"history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear\",\n \"calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages the history\",\n \"def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num):\",\n \"to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod\",\n \"get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def\",\n \"# pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of\",\n \"factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add\",\n \"using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the\",\n \"Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod\",\n \"calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get\",\n \"create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication\",\n \"calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object\",\n \"of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod def\",\n \"return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation\",\n \"history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of\",\n \"using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values):\",\n \"result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create\",\n \"@staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def\",\n \"object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True\",\n \"\\\"\\\"\\\"Add a multiplication object to history using factory method create\\\"\\\"\\\"\",\n \"Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history =\",\n \"def get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return\",\n \"a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values):\",\n \"calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations\",\n \"add_division_calculation_to_history(values): \\\"Add a division object to history using factory method\",\n \"import Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class\",\n \"add object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get\",\n \"of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number\",\n \"True @staticmethod def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\"\",\n \"\\\"Add a division object to history using factory method create\\\"\",\n \"Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class\",\n \"method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return\",\n \"count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod\",\n \"in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\"\",\n \"manages the history of calculations\\\"\\\"\\\" history = [] # pylint:\",\n \"\\\"\\\"\\\"create an addition and add object to history using factory\",\n \"create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True\",\n \"first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a\",\n \"\\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod\",\n \"get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def\",\n \"return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add\",\n \"get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\"\",\n \"the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values):\",\n \"subtraction object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return\",\n \"calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number of\",\n \"\\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get\",\n \"@staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return\",\n \"Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object()\",\n \"len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod\",\n \"= [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the\",\n \"a subtraction object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values))\",\n \"\\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last\",\n \"def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result()\",\n \"history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return\",\n \"Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return\",\n \"to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result\",\n \"calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history():\",\n \"a multiplication object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values))\",\n \"clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod\",\n \"calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import\",\n \"the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction\",\n \"calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import\",\n \"disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear()\",\n \"add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using factory method\",\n \"from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division\",\n \"return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to\",\n \"history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def\",\n \"Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object\",\n \"@staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to history using\",\n \"def add_division_calculation_to_history(values): \\\"Add a division object to history using factory\",\n \"@staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\"\",\n \"\\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod\",\n \"@staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def\",\n \"specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\"\",\n \"an addition and add object to history using factory method\",\n \"generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create\",\n \"Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from\",\n \"calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific\",\n \"Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object\",\n \"create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division\",\n \"object to history using factory method create\\\" Calculations.add_calculation(Division.create(values)) return True\",\n \"factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add\",\n \"def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to history\",\n \"method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a\",\n \"def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True\",\n \"return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation =\",\n \"calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod\",\n \"history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get\",\n \"@staticmethod def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return\",\n \"object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the\",\n \"@staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using\",\n \"True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history\",\n \"multiplication object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return\",\n \"the history of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods\",\n \"class Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history\",\n \"last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation():\",\n \"@staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to\",\n \"@staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using\",\n \"def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history)\",\n \"history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and\",\n \"history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic\",\n \"Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number of items\",\n \"the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history():\",\n \"import Division class Calculations: \\\"\\\"\\\"Calculations class manages the history of\",\n \"from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition\",\n \"Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object\",\n \"True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history\",\n \"of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a\",\n \"a division object to history using factory method create\\\" Calculations.add_calculation(Division.create(values))\",\n \"add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation)\",\n \"[] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history\",\n \"history of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod\",\n \"@staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return\",\n \"factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation\",\n \"= Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\"\",\n \"from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations:\",\n \"\\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def\",\n \"method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a\",\n \"return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0]\",\n \"to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod\",\n \"import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division\",\n \"history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def\",\n \"#Get the result of the calculation return True @staticmethod def\",\n \"\\\"\\\"\\\"create a subtraction object to history using factory method create\\\"\\\"\\\"\",\n \"Class\\\"\\\"\\\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from\",\n \"Division class Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\"\",\n \"number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object():\",\n \"def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value():\",\n \"\\\"\\\"\\\"Calculation history Class\\\"\\\"\\\" from calc.calculations.addition import Addition from calc.calculations.subtraction import\",\n \"return True @staticmethod def count_history(): \\\"\\\"\\\"get number of items in\",\n \"get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num]\",\n \"add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using factory method\",\n \"True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to history\",\n \"from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages the\",\n \"a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation):\",\n \"items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last\",\n \"\\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def\",\n \"calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an\",\n \"return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation\",\n \"return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to\",\n \"from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a\",\n \"last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\"\",\n \"calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation\",\n \"object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True\",\n \"history Class\\\"\\\"\\\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction\",\n \"return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to\",\n \"class manages the history of calculations\\\"\\\"\\\" history = [] #\",\n \"import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication\",\n \"calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get\",\n \"get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get\",\n \"def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using factory\",\n \"@staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\"\",\n \"of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get\",\n \"Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from\",\n \"def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return\",\n \"\\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history = []\",\n \"using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values):\",\n \"return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1]\",\n \"calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first\",\n \"addition and add object to history using factory method create\\\"\\\"\\\"\",\n \"add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to history using\",\n \"from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication\",\n \"get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod\",\n \"and add object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values))\"\n]","isConversational":false}}},{"rowIdx":786,"cells":{"ngram":{"kind":"list like","value":["valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma","digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}')","print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.')","print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista","in valores: valores.reverse() print(f'O valor 5 foi digitado e está","valor = int(input('Digite um Valor ou -1 para Finalizar: '))","print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente:","valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)}","< 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números')","números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5","5 in valores: valores.reverse() print(f'O valor 5 foi digitado e","int(input('Digite um Valor ou -1 para Finalizar: ')) if valor","ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse()","True: valor = int(input('Digite um Valor ou -1 para Finalizar:","if valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados","está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado na","-1 para Finalizar: ')) if valor < 0: print('\\nFinalizando...') break","17 (Listas (Parte 1)) valores = [] while True: valor","para Finalizar: ')) if valor < 0: print('\\nFinalizando...') break else:","Finalizar: ')) if valor < 0: print('\\nFinalizando...') break else: valores.append(valor)","[] while True: valor = int(input('Digite um Valor ou -1","forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor","valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in","valor 5 foi digitado e está na {valores.index(5)} posição.') else:","break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada","valores: valores.reverse() print(f'O valor 5 foi digitado e está na","= int(input('Digite um Valor ou -1 para Finalizar: ')) if","else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de","5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor","{len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if","Aula 17 (Listas (Parte 1)) valores = [] while True:","# Aula 17 (Listas (Parte 1)) valores = [] while","valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)}","digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não","de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O","um Valor ou -1 para Finalizar: ')) if valor <","1)) valores = [] while True: valor = int(input('Digite um","valores = [] while True: valor = int(input('Digite um Valor","Valor ou -1 para Finalizar: ')) if valor < 0:","while True: valor = int(input('Digite um Valor ou -1 para","<gh_stars>0 # Aula 17 (Listas (Parte 1)) valores = []","')) if valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram","(Parte 1)) valores = [] while True: valor = int(input('Digite","print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores:","if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado","0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True)","ou -1 para Finalizar: ')) if valor < 0: print('\\nFinalizando...')","na {valores.index(5)} posição.') else: print('Valor 5 não encontrado na lista.')","{valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi","foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5","decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5","e está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado","(Listas (Parte 1)) valores = [] while True: valor =","= [] while True: valor = int(input('Digite um Valor ou"],"string":"[\n \"valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma\",\n \"digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}')\",\n \"print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.')\",\n \"print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista\",\n \"in valores: valores.reverse() print(f'O valor 5 foi digitado e está\",\n \"valor = int(input('Digite um Valor ou -1 para Finalizar: '))\",\n \"print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente:\",\n \"valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)}\",\n \"< 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números')\",\n \"números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5\",\n \"5 in valores: valores.reverse() print(f'O valor 5 foi digitado e\",\n \"int(input('Digite um Valor ou -1 para Finalizar: ')) if valor\",\n \"ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse()\",\n \"True: valor = int(input('Digite um Valor ou -1 para Finalizar:\",\n \"if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados\",\n \"está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado na\",\n \"-1 para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break\",\n \"17 (Listas (Parte 1)) valores = [] while True: valor\",\n \"para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break else:\",\n \"Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor)\",\n \"[] while True: valor = int(input('Digite um Valor ou -1\",\n \"forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor\",\n \"valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in\",\n \"valor 5 foi digitado e está na {valores.index(5)} posição.') else:\",\n \"break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada\",\n \"valores: valores.reverse() print(f'O valor 5 foi digitado e está na\",\n \"= int(input('Digite um Valor ou -1 para Finalizar: ')) if\",\n \"else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de\",\n \"5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor\",\n \"{len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if\",\n \"Aula 17 (Listas (Parte 1)) valores = [] while True:\",\n \"# Aula 17 (Listas (Parte 1)) valores = [] while\",\n \"valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)}\",\n \"digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não\",\n \"de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O\",\n \"um Valor ou -1 para Finalizar: ')) if valor <\",\n \"1)) valores = [] while True: valor = int(input('Digite um\",\n \"valores = [] while True: valor = int(input('Digite um Valor\",\n \"Valor ou -1 para Finalizar: ')) if valor < 0:\",\n \"while True: valor = int(input('Digite um Valor ou -1 para\",\n \"<gh_stars>0 # Aula 17 (Listas (Parte 1)) valores = []\",\n \"')) if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram\",\n \"(Parte 1)) valores = [] while True: valor = int(input('Digite\",\n \"print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores:\",\n \"if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado\",\n \"0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True)\",\n \"ou -1 para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...')\",\n \"na {valores.index(5)} posição.') else: print('Valor 5 não encontrado na lista.')\",\n \"{valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi\",\n \"foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5\",\n \"decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5\",\n \"e está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado\",\n \"(Listas (Parte 1)) valores = [] while True: valor =\",\n \"= [] while True: valor = int(input('Digite um Valor ou\"\n]","isConversational":false}}},{"rowIdx":787,"cells":{"ngram":{"kind":"list like","value":["migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ),","] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField(","11:23 from django.conf import settings from django.db import migrations, models","migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ),","model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),","on 2018-11-20 11:23 from django.conf import settings from django.db import","), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True,","Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf import","migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ),","old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction',","migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ),","migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ),","new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode',","old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction',","model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField(","old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction',","class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations","django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies =","Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations =","model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField(","old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction',","), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number',","old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction',","migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart',","migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ),","old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction',","by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings","migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ),","('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start',","), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code',","old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction',","django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ]","model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField(","import settings from django.db import migrations, models import django.db.models.deletion class","models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay',","Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from","model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField(","from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies","[ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction',","name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ),","<filename>yekpay/migrations/0014_auto_20181120_1453.py # Generated by Django 2.0.9 on 2018-11-20 11:23 from","), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code',","= [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField(","operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction',","migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ),","new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName',","model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField(","), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code',","'0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ),","model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField(","), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name',","[ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify',","migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE,","), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason',","2018-11-20 11:23 from django.conf import settings from django.db import migrations,","import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'),","model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField(","field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ), ]","2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db","migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL),","= [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify',","new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode',","), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name',","new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user',","migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ),","model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField(","dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [","# Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf","from django.conf import settings from django.db import migrations, models import","old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction',","new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber',","import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [","new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode',","new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason',","new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation',","settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration):","django.conf import settings from django.db import migrations, models import django.db.models.deletion","old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction',","model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField(","), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False),","new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName',"],"string":"[\n \"migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ),\",\n \"] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField(\",\n \"11:23 from django.conf import settings from django.db import migrations, models\",\n \"migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ),\",\n \"model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),\",\n \"on 2018-11-20 11:23 from django.conf import settings from django.db import\",\n \"), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True,\",\n \"Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf import\",\n \"migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ),\",\n \"old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction',\",\n \"migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ),\",\n \"migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ),\",\n \"new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode',\",\n \"old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction',\",\n \"model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField(\",\n \"old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction',\",\n \"class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations\",\n \"django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies =\",\n \"Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations =\",\n \"model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField(\",\n \"old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction',\",\n \"), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number',\",\n \"old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction',\",\n \"migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart',\",\n \"migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ),\",\n \"old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction',\",\n \"by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings\",\n \"migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ),\",\n \"('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start',\",\n \"), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code',\",\n \"old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction',\",\n \"django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ]\",\n \"model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField(\",\n \"import settings from django.db import migrations, models import django.db.models.deletion class\",\n \"models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay',\",\n \"Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from\",\n \"model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField(\",\n \"from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies\",\n \"[ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction',\",\n \"name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ),\",\n \"<filename>yekpay/migrations/0014_auto_20181120_1453.py # Generated by Django 2.0.9 on 2018-11-20 11:23 from\",\n \"), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code',\",\n \"= [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField(\",\n \"operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction',\",\n \"migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ),\",\n \"new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName',\",\n \"model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField(\",\n \"), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code',\",\n \"'0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ),\",\n \"model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField(\",\n \"), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name',\",\n \"[ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify',\",\n \"migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE,\",\n \"), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason',\",\n \"2018-11-20 11:23 from django.conf import settings from django.db import migrations,\",\n \"import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'),\",\n \"model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField(\",\n \"field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ), ]\",\n \"2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db\",\n \"migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL),\",\n \"= [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify',\",\n \"new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode',\",\n \"), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name',\",\n \"new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user',\",\n \"migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ),\",\n \"model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField(\",\n \"dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [\",\n \"# Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf\",\n \"from django.conf import settings from django.db import migrations, models import\",\n \"old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction',\",\n \"new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber',\",\n \"import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [\",\n \"new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode',\",\n \"new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason',\",\n \"new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation',\",\n \"settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration):\",\n \"django.conf import settings from django.db import migrations, models import django.db.models.deletion\",\n \"old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction',\",\n \"model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField(\",\n \"), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False),\",\n \"new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName',\"\n]","isConversational":false}}},{"rowIdx":788,"cells":{"ngram":{"kind":"list like","value":["from .bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc",".misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import",".bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import","ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from","InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import","InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock","InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual","InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from","from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense","import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d","import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import DenseModule"],"string":"[\n \"from .bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc\",\n \".misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import\",\n \".bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import\",\n \"ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from\",\n \"InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import\",\n \"InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock\",\n \"InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual\",\n \"InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from\",\n \"from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense\",\n \"import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d\",\n \"import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import DenseModule\"\n]","isConversational":false}}},{"rowIdx":789,"cells":{"ngram":{"kind":"list like","value":["None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result","5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(),","OF ANY # KIND, either express or implied. See the","('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3,","type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr)","4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1,","False, None])) result = arr != scalar assert result.equals(con([True, False,","2, 3, 4, 5]) right = pa.array([0, -1, 1, 2,","[b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def',","[ # mask is array pa.array([True, False, None, False, True]),","more contributor license agreements. See the NOTICE file # distributed","True, None, None])) result = arr1 <= arr2 assert result.equals(con([True,","True]), # mask is chunked array pa.chunked_array([[True, False, None], [False,","scalar assert result.equals(con([False, True, False, None])) result = arr !=","expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) #","in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices","Apache Software Foundation (ASF) under one # or more contributor","False, None, False, True]), # mask is chunked array pa.chunked_array([[True,","> arr2 assert result.equals(con([False, True, False, None, None])) result =","pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert","\"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None,","expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [","= arr != scalar assert result.equals(con([True, False, True, None])) result","4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]:","WARRANTIES OR CONDITIONS OF ANY # KIND, either express or","3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2,","pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result =","2.0 (the # \"License\"); you may not use this file","TODO this is a hacky way to construct a scalar","arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left","arr != scalar assert result.equals(con([True, False, True, None])) result =","\"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])],","2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr)","False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result =","pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True,","expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])],","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]],","= pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True,","specific language governing permissions and limitations # under the License.","result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty',","null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def","1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert","def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right","under the License is distributed on an # \"AS IS\"","table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def","result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices =","BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either","None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([],","result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"])","\"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch, table]:","be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ):","right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left,","\"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #","'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5,","pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same","scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False,","[2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()),","result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4,","indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices)","2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result =","obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\":","names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None,","[None, False, True]]), # mask is python object [True, False,","== scalar assert result.equals(con([False, True, False, None])) result = arr","[ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ]","distributed with this work for additional information # regarding copyright","pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def","= pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert","the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None],","arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left =","2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1,","assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4,","mask is array pa.array([True, False, None, False, True]), # mask","== 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None","assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\",","for the # specific language governing permissions and limitations #","5]) right = pa.array([0, -1, 1, 2, 3]) result =","chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is","pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected","arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711","numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(),","result = arr1 < arr2 assert result.equals(con([False, False, True, None,","def test_compare_array(typ): if typ == \"array\": def con(values): return pa.array(values)","See the License for the # specific language governing permissions","to in writing, # software distributed under the License is","None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null =","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","result = arr >= scalar assert result.equals(con([False, True, True, None]))","pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False,","assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type),","arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]:","governing permissions and limitations # under the License. import numpy","assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) ==","values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]:","= pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32',","pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2,","= con([1, 1, 4, None, 4]) result = arr1 ==","pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered)","True, False, None])) result = arr > scalar assert result.equals(con([False,","way to construct a scalar .. scalar = pa.array([2]).sum() result","None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])],","# TODO this is a hacky way to construct a","1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask =","assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\",","[False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0,","dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError):","assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def","file # distributed with this work for additional information #","pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask) def test_filter_chunked_array():","assert result.equals(con([True, False, True, None, None])) result = arr1 >","{'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(),","arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected)","('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5,","test_compare_scalar(typ): if typ == \"array\": def con(values): return pa.array(values) else:","result = arr1 != arr2 assert result.equals(con([False, True, True, None,","import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True,","pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr","in [ # mask is array pa.array([True, False, None, False,","test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16',","= pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True,","('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)),","mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), #","b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1,","def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch","= [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)),","np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double',","arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices","None])) result = arr1 <= arr2 assert result.equals(con([True, False, True,","True]), # mask is chunked array pa.chunked_array([[True, False], [None, False,","arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result","assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a',","= pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False,","result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None])","4]) result = arr1 == arr2 assert result.equals(con([True, False, False,","implied. See the License for the # specific language governing","names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in","scalar .. scalar = pa.array([2]).sum() result = arr == scalar","expected = pa.chunked_array([[True, True, True, True, None]]) for result in","to you under the Apache License, Version 2.0 (the #","result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate()","pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr,","np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64',","names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\",","python object [True, False, None, False, True] ]: result =","same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ","result.equals(con([True, False, False, None])) result = arr <= scalar assert","for result in [ arr == arr_chunked, arr_chunked == arr,","[None, \"e\"]]) for mask in [ # mask is array","indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected","result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2,","[ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2,","0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask","0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b',","None])) result = arr > scalar assert result.equals(con([False, False, True,","is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr =","wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must","chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is","may not use this file except in compliance # with","mask is python object [True, False, None, False, True] ]:","('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde',","arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch(","type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None #","array pa.array([True, False, None, False, True]), # mask is chunked","expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table():","typ == \"array\": def con(values): return pa.array(values) else: def con(values):","assert result.equals(con([False, False, True, None])) result = arr >= scalar","arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\",","a hacky way to construct a scalar .. scalar =","arr2 assert result.equals(con([False, True, False, None, None])) result = arr1","= arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b',","assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum()","[3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2,","= pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711","type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) ==","None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values):","result = arr <= scalar assert result.equals(con([True, True, False, None]))","pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected","License, Version 2.0 (the # \"License\"); you may not use","indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None],","either express or implied. See the License for the #","result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6,","result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr","np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary',","scalar assert result.equals(con([True, False, True, None])) result = arr <","< scalar assert result.equals(con([True, False, False, None])) result = arr","np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b',","[b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4],","3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left =","indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected =","= con([1, 2, 3, None]) # TODO this is a","result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a',","4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([","arr2 assert result.equals(con([True, False, True, None, None])) result = arr1","= arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) #","values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3],","import numpy as np import pytest import pyarrow as pa","additional information # regarding copyright ownership. The ASF licenses this","non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with","expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def","'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(),","pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert","10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks ==","type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None],","See the NOTICE file # distributed with this work for","[\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"],","# noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1,","3, 4, None]) arr2 = con([1, 1, 4, None, 4])","pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True])","arr1 = con([1, 2, 3, 4, None]) arr2 = con([1,","con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) #","None]) # TODO this is a hacky way to construct","= pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1,","3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b',","False, True]) with pytest.raises(ValueError, match=\"must all be the same length\"):","Apache License, Version 2.0 (the # \"License\"); you may not","assert result.equals(con([False, True, True, None, None])) result = arr1 <","pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b':","pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10","0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'),","np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float',","4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3,","[[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a',","arr == scalar assert result.equals(con([False, True, False, None])) result =","is array mask = pa.array([True, False, None, False, True]) result","result.equals(con([True, False, True, None])) result = arr < scalar assert","result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result","\"d\", \"e\"])], names=[\"a'\"]) # mask is array mask = pa.array([True,","= arr == scalar assert result.equals(con([False, True, False, None])) result","length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ ==","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with","3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types","= pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type)","null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null')","file except in compliance # with the License. You may","type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type)","pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result","True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)),","is array pa.array([True, False, None, False, True]), # mask is","# specific language governing permissions and limitations # under the","None])) result = arr != scalar assert result.equals(con([True, False, True,","b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None,","[True, False, None, False, True] ]: result = arr.filter(mask) assert","None, None])) result = arr1 <= arr2 assert result.equals(con([True, False,","type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices)","== ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c']","assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1,","result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2,","True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3,","0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask","False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop)","you may not use this file except in compliance #","\"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null","'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert","0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True,","all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask =","type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert","6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a':","use this file except in compliance # with the License.","in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with","None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty))","\"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def con(values): return","= pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'],","contributor license agreements. See the NOTICE file # distributed with","== 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4],","pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type',","arr2 = con([1, 1, 4, None, 4]) result = arr1","result = arr1 >= arr2 assert result.equals(con([True, True, False, None,","type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type)","None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\",","noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2,","for mask in [ # mask is array pa.array([True, False,","arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"])","0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a',","result = arr1 <= arr2 assert result.equals(con([True, False, True, None,","arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask,","test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch =","= pa.chunked_array([[True, True, True, True, None]]) for result in [","= pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) #","('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)),","an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF","def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in","the License. import numpy as np import pytest import pyarrow","pytest import pyarrow as pa import pyarrow.compute all_array_types = [","pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a':","1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask =","scalar assert result.equals(con([True, False, False, None])) result = arr <=","WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express","np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)),","numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type)","= pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([],","with this work for additional information # regarding copyright ownership.","mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), #","pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\",","match=\"must all be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr","2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0,","null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\",","@pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4],","2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1,","expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def","for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64',","work for additional information # regarding copyright ownership. The ASF","pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True,","mask = pa.array([True, False, False, True, None]) result = arr.filter(mask,","[False, True]]), # mask is python object [True, False, None,","arr2 assert result.equals(con([False, False, True, None, None])) result = arr1","1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0,","distributed under the License is distributed on an # \"AS","pa.chunked_array([[True, True, True, True, None]]) for result in [ arr","assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values):","table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop =","None, \"e\"])], names=[\"a\"]) for mask in [ # mask is","return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1,","# mask is chunked array pa.chunked_array([[True, False, None], [False, True]]),","names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\",","True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4,","= pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\")","# software distributed under the License is distributed on an","test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop","False, True, None])) result = arr < scalar assert result.equals(con([True,","None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1,","test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"])","'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc',","expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for","False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop)","the License. You may obtain a copy of the License","pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null","mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be","# mask is python object [True, False, None, False, True]","] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(),","result = arr1 == arr2 assert result.equals(con([True, False, False, None,","assert result.equals(con([True, False, False, None])) result = arr <= scalar","result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch =","pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert","None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 =","pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 =","'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']),","\"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"])","under the Apache License, Version 2.0 (the # \"License\"); you","2, 3, 4, None]) arr2 = con([1, 1, 4, None,","False, None, None])) result = arr1 != arr2 assert result.equals(con([False,","distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR","ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values,","regarding copyright ownership. The ASF licenses this file # to","pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert","[pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError):","None])) result = arr1 < arr2 assert result.equals(con([False, False, True,","or agreed to in writing, # software distributed under the","arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def","with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False,","arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1,","pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([],","pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected","arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with","arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result","result = arr < scalar assert result.equals(con([True, False, False, None]))","pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type):","np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32',","10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type)","0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd',","assert result.equals(con([True, False, False, None, None])) result = arr1 !=","be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\",","assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered","and limitations # under the License. import numpy as np","values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1,","4, None, 4]) result = arr1 == arr2 assert result.equals(con([True,","\"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def con(values): return","result.equals(con([True, False, True, None, None])) result = arr1 > arr2","for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2],","'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result =","4, None]) arr2 = con([1, 1, 4, None, 4]) result","con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None])","arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]])","== arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1,","return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO","or more contributor license agreements. See the NOTICE file #","# under the License. import numpy as np import pytest","None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array mask","1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length","type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr","result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch","this work for additional information # regarding copyright ownership. The","E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values,","= batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert","right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected)","the NOTICE file # distributed with this work for additional","4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1,","pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert","result.equals(con([False, True, False, None, None])) result = arr1 >= arr2","None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None])","arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None","pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be the same","result.equals(con([True, False, False, None, None])) result = arr1 != arr2","3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4,","== None # noqa: E711 assert pa.compute.sum(arr) == None #","None]]) for result in [ arr == arr_chunked, arr_chunked ==","\"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null =","pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table =","left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0,","== arr2 assert result.equals(con([True, False, False, None, None])) result =","# wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid,","pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for","with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False,","False, True, None, None])) result = arr1 <= arr2 assert","] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3,","= pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices =","\"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]])","mask in [ # mask is array pa.array([True, False, None,","pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr)","= arr <= scalar assert result.equals(con([True, True, False, None])) result","= arr >= scalar assert result.equals(con([False, True, True, None])) def","False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result =","right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left,","= arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty)","arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result","pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError):","@pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty)","batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table","= pa.array(values, type=ty) mask = pa.array([True, False, False, True, None])","0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True,","def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop","3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([","= pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\",","result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5])","(pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]),","'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None],","[pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array","type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1,","assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types)","same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\",","= arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result =","None])) result = arr <= scalar assert result.equals(con([True, True, False,","1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1,","values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices","== 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type),","pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0,","= batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result","pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left","KIND, either express or implied. See the License for the","[pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result","pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])],","expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type","import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool',","10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string',","pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32',","right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left,","np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5,","arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1,","# wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError,","True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask)","\"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask","arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed():","type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) ==","b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9,","pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(),","array pa.chunked_array([[True, False], [None, False, True]]), # mask is python","True, False, None, None])) result = arr1 >= arr2 assert","None])) result = arr1 >= arr2 assert result.equals(con([True, True, False,","result.equals(con([True, True, False, None])) result = arr > scalar assert","arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa:","False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0],","pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def","-1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for","with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type","False, None], [False, True]]), # mask is python object [True,","or implied. See the License for the # specific language","16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2},","express or implied. See the License for the # specific","result.equals(con([False, True, True, None, None])) result = arr1 < arr2","if typ == \"array\": def con(values): return pa.array(values) else: def","('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c',","@pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def","mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be","arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert","= pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]])","= arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices","pa.chunked_array([[True, False], [None, False, True]]), # mask is python object","= pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right)","the # specific language governing permissions and limitations # under","con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr =","names=[\"a'\"]) # mask is array mask = pa.array([True, False, None,","[arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1,","[\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\",","batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0,","2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True,","assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4,","mask is array mask = pa.array([True, False, None, False, True])","\"e\"])], names=[\"a'\"]) # mask is array mask = pa.array([True, False,","may obtain a copy of the License at # #","True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert","4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((),","def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"])","result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected)","'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd',","False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"):","arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1,","[[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()),","The ASF licenses this file # to you under the","arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types():","pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ # mask is","== 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks","[\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def con(values):","3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) ==","\"e\"]]) for mask in [ # mask is array pa.array([True,","assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa:","<= scalar assert result.equals(con([True, True, False, None])) result = arr","# mask is chunked array pa.chunked_array([[True, False], [None, False, True]]),","[\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def con(values):","batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected)","arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def","# Licensed to the Apache Software Foundation (ASF) under one","pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this","def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked","['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert","\"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected =","assert result.equals(con([True, True, False, None])) result = arr > scalar","is a hacky way to construct a scalar .. scalar","2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3,","mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask)","with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\",","def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4,","test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a',","arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0","'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is","= pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask","pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) ==","law or agreed to in writing, # software distributed under","== \"array\": def con(values): return pa.array(values) else: def con(values): return","Foundation (ASF) under one # or more contributor license agreements.","[ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4},","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr","assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4,","= pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with","= pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) #","batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) #","Software Foundation (ASF) under one # or more contributor license","0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None,","None, 4]) result = arr1 == arr2 assert result.equals(con([True, False,","arr > scalar assert result.equals(con([False, False, True, None])) result =","# regarding copyright ownership. The ASF licenses this file #","type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2],","in compliance # with the License. You may obtain a","# to you under the Apache License, Version 2.0 (the","License for the # specific language governing permissions and limitations","= pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate()","\"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"])",">= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\",","False], [None, False, True]]), # mask is python object [True,","arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) ==","OR CONDITIONS OF ANY # KIND, either express or implied.","b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6],","None, False, True]), # mask is chunked array pa.chunked_array([[True, False],","result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\",","result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8,","result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5])","# noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr","= pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply():","@pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4],","right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected)","1, 4, None, 4]) result = arr1 == arr2 assert","assert result.equals(con([False, True, False, None])) result = arr != scalar","> scalar assert result.equals(con([False, False, True, None])) result = arr","noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr =","= arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch(","assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\",","this file # to you under the Apache License, Version","None, False, True]), # mask is chunked array pa.chunked_array([[True, False,","result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b',","\"e\"])], names=[\"a\"]) for mask in [ # mask is array","result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked","copyright ownership. The ASF licenses this file # to you","E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types)","None, None])) result = arr1 != arr2 assert result.equals(con([False, True,","right) expected = pa.array([0, -2, 3, 8, 15]) assert result.equals(expected)","with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr =","assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr))","{'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ]","is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask","in writing, # software distributed under the License is distributed","('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)),","arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True,","type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr","None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected =","result = arr == scalar assert result.equals(con([False, True, False, None]))","result.equals(con([False, True, False, None])) result = arr != scalar assert","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","= arr1 > arr2 assert result.equals(con([False, True, False, None, None]))","License is distributed on an # \"AS IS\" BASIS, WITHOUT","length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all","pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr","E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3,","# mask is array mask = pa.array([True, False, None, False,","True]) with pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask)","with pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask) def","6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5,","= pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the","'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered","2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b':","True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask,","# \"License\"); you may not use this file except in","assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors():","result = arr1 > arr2 assert result.equals(con([False, True, False, None,","-1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected =","# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY","pa.array([True, False, None, False, True]) result = batch.filter(mask) expected =","result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2,","arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result","object [True, False, None, False, True] ]: result = arr.filter(mask)","to the Apache Software Foundation (ASF) under one # or","True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if","16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9,","\"License\"); you may not use this file except in compliance","arr < scalar assert result.equals(con([True, False, False, None])) result =","a scalar .. scalar = pa.array([2]).sum() result = arr ==","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices =","wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must","4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]),","3, None]) # TODO this is a hacky way to","# empty indices indices = pa.array([], type=indices_type) result = arr.take(indices)","pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr =","under the License. import numpy as np import pytest import","'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type)","'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result","True, None])) result = arr < scalar assert result.equals(con([True, False,","# distributed with this work for additional information # regarding","None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(),","True, True, None]]) for result in [ arr == arr_chunked,","False, True, None])) result = arr >= scalar assert result.equals(con([False,","writing, # software distributed under the License is distributed on","pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1,","pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def","null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None,","False, None])) result = arr <= scalar assert result.equals(con([True, True,","2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2,","[5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4],","{'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None,","]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3,","pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert","arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ])","permissions and limitations # under the License. import numpy as","None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\",","CONDITIONS OF ANY # KIND, either express or implied. See","arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"],","names=[\"a\"]) for mask in [ # mask is array pa.array([True,","type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1,","'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for","result = arr != scalar assert result.equals(con([True, False, True, None]))","10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3,","('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)),","assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask =","def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1","= pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right)","1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a':","else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3,","None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0,","2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr =","None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result","result.equals(con([False, False, True, None, None])) result = arr1 <= arr2","# non-boolean dtype mask = pa.array([0, 1, 0, 1, 0])","indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type)","True, True, True, None]]) for result in [ arr ==","np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5,","pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3,","arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16',","arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True,","con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 =","for additional information # regarding copyright ownership. The ASF licenses","b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()),","4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected =","# noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711","the Apache Software Foundation (ASF) under one # or more","in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type)","result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr =","# # Unless required by applicable law or agreed to","1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length","Version 2.0 (the # \"License\"); you may not use this","pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in","test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right =","b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5,","None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]),","pa.chunked_array([[True, False, None], [False, True]]), # mask is python object","4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2","= arr1 >= arr2 assert result.equals(con([True, True, False, None, None]))","one # or more contributor license agreements. See the NOTICE","import pytest import pyarrow as pa import pyarrow.compute all_array_types =","expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ #","names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1,","None, None])) result = arr1 < arr2 assert result.equals(con([False, False,","construct a scalar .. scalar = pa.array([2]).sum() result = arr","= pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table =","arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected)","result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for","indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']:","result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0],","return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2","= con([1, 2, 3, 4, None]) arr2 = con([1, 1,","!= arr2 assert result.equals(con([False, True, True, None, None])) result =","= pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract():","arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean","License. import numpy as np import pytest import pyarrow as","= pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table","assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def","'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def","None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4],","result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty))","test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr)","except in compliance # with the License. You may obtain","4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def","= arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null)","3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]])","== arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add():","3, 4, 5]) right = pa.array([0, -1, 1, 2, 3])","con([1, 1, 4, None, 4]) result = arr1 == arr2","8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3,","pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types)","@pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2,","def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2],","= pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15])","4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [","None # noqa: E711 assert pa.compute.sum(arr) == None # noqa:","NOTICE file # distributed with this work for additional information","\"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\",","pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True])","False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)),","3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist()","this file except in compliance # with the License. You","pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is","3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]])","1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result","values[2], None], type=ty) assert result.equals(expected) # empty indices indices =","= pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right)","'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2,","null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype","length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\",","return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1,","license agreements. See the NOTICE file # distributed with this","= pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in",">= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr","-1, 1, 2, 3]) result = pa.compute.add(left, right) expected =","required by applicable law or agreed to in writing, #","[9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b':","None])) result = arr1 != arr2 assert result.equals(con([False, True, True,","result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]])","\"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch, table]: #","6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2,","2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2,","ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() ==","True, False, None])) result = arr != scalar assert result.equals(con([True,","pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]),","else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3,","assert result.equals(con([True, False, True, None])) result = arr < scalar","True, None]]) for result in [ arr == arr_chunked, arr_chunked","None]) arr2 = con([1, 1, 4, None, 4]) result =","the License for the # specific language governing permissions and","result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])],","None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr =","= arr1 == arr2 assert result.equals(con([True, False, False, None, None]))","6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(),","def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right","ANY # KIND, either express or implied. See the License","False, False, None, None])) result = arr1 != arr2 assert","result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0,","mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask)","the License is distributed on an # \"AS IS\" BASIS,","True, None, None])) result = arr1 < arr2 assert result.equals(con([False,","False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ","assert result.equals(con([False, True, False, None, None])) result = arr1 >=","2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0],","5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError):","True]]), # mask is python object [True, False, None, False,","10 arr = pa.array([], type=arrow_type) assert arr.sum() == None #","None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch,","result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert","test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum()","4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10","assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices","pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\",","= arr1 <= arr2 assert result.equals(con([True, False, True, None, None]))","con([1, 2, 3, None]) # TODO this is a hacky","result.equals(con([False, False, True, None])) result = arr >= scalar assert","= arr1 != arr2 assert result.equals(con([False, True, True, None, None]))","2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3]))","pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2,","10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0,","= arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert","result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr","arr = con([1, 2, 3, None]) # TODO this is","not use this file except in compliance # with the","array pa.chunked_array([[True, False, None], [False, True]]), # mask is python","False, None, None])) result = arr1 >= arr2 assert result.equals(con([True,","all be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr =","= table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\",","def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr","True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1,","True, True, None, None])) result = arr1 < arr2 assert","2, 3, None]) # TODO this is a hacky way","None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3),","['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types)","result = arr > scalar assert result.equals(con([False, False, True, None]))","2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4,","def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right","Unless required by applicable law or agreed to in writing,","== arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert","type=ty) mask = pa.array([True, False, False, True, None]) result =","con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4,","None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4,","pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() ==","== None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty,","None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\",","(pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3,","match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"])","object [True, False, None, False, True] ]: result = table.filter(mask)","False, None])) result = arr > scalar assert result.equals(con([False, False,","True, None])) result = arr >= scalar assert result.equals(con([False, True,","False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\",","4, 5]) right = pa.array([0, -1, 1, 2, 3]) result","pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong","(ASF) under one # or more contributor license agreements. See","result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert","pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False,","hacky way to construct a scalar .. scalar = pa.array([2]).sum()","array mask = pa.array([True, False, None, False, True]) result =","result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result =","# or more contributor license agreements. See the NOTICE file","[pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None,","agreed to in writing, # software distributed under the License","3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3,","pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None,","\"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\",","2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1],","False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"])","False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert","= pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [ #","]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\")","for obj in [arr, batch, table]: # non-boolean dtype mask","pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2,","2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr)","[4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected","result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5])","pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ])","assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch():","2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices","== None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr","None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices =","result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() ==","arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() ==","= pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2],","None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"])","length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all","to construct a scalar .. scalar = pa.array([2]).sum() result =","10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert","(the # \"License\"); you may not use this file except","< arr2 assert result.equals(con([False, False, True, None, None])) result =","[ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8',","scalar assert result.equals(con([False, False, True, None])) result = arr >=","test_compare_array(typ): if typ == \"array\": def con(values): return pa.array(values) else:","pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1,","pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected","def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert","arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8',","in [arr, batch, table]: # non-boolean dtype mask = pa.array([0,","= pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1])","is python object [True, False, None, False, True] ]: result","ASF licenses this file # to you under the Apache","False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16',","values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False,","]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2],","('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a',","test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right =","pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong","result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected)","on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS","pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate()","None], [False, True]]), # mask is python object [True, False,","ownership. The ASF licenses this file # to you under","'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types =","mask = pa.array([True, False, None, False, True]) result = batch.filter(mask)","pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left","assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None,","'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist()","noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type',","\"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])],","for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2,","= arr > scalar assert result.equals(con([False, False, True, None])) result","as pa import pyarrow.compute all_array_types = [ ('bool', [True, False,","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","np import pytest import pyarrow as pa import pyarrow.compute all_array_types","2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered):","arr2 assert result.equals(con([False, True, True, None, None])) result = arr1","None])) result = arr1 > arr2 assert result.equals(con([False, True, False,","[5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [","= pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop')","@pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def","with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices)","with the License. You may obtain a copy of the","pa.array([True, False, None, False, True]), # mask is chunked array","batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result =","b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2],","False, True]), # mask is chunked array pa.chunked_array([[True, False, None],","def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])],","table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj","= pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2,","== ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'),","applicable law or agreed to in writing, # software distributed","[True, False, None, False, True] ]: result = table.filter(mask) assert","assert result.equals(con([False, False, True, None, None])) result = arr1 <=","pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0,","= pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask","def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None])","arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result","None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\":","def test_compare_scalar(typ): if typ == \"array\": def con(values): return pa.array(values)","= pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10","['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd',","[True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16',","is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES","def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8',","assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0,","file # to you under the Apache License, Version 2.0","= pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10","arr2 assert result.equals(con([True, False, False, None, None])) result = arr1","2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4,","0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0,","None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6],","False, False, None])) result = arr <= scalar assert result.equals(con([True,","= pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2])","# with the License. You may obtain a copy of","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","None, None])) result = arr1 >= arr2 assert result.equals(con([True, True,","None])) result = arr < scalar assert result.equals(con([True, False, False,","expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5])","b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']),","test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked =","software distributed under the License is distributed on an #","None, None])) result = arr1 > arr2 assert result.equals(con([False, True,","Licensed to the Apache Software Foundation (ASF) under one #",".. scalar = pa.array([2]).sum() result = arr == scalar assert","(pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]),","[3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]])","1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left =","result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected)","'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0,","False, True]), # mask is chunked array pa.chunked_array([[True, False], [None,","2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3,","as np import pytest import pyarrow as pa import pyarrow.compute","the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if","scalar assert result.equals(con([True, True, False, None])) result = arr >","under one # or more contributor license agreements. See the","False, True, None, None])) result = arr1 > arr2 assert","assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert","test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right =","indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered',","== 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty',","def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True,","[\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [","-1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected =","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3,","= pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert","= pa.array([True, False, None, False, True]) result = batch.filter(mask) expected","]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr,","pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in","None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result","information # regarding copyright ownership. The ASF licenses this file","pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr =","assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result","pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr)","print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None","the Apache License, Version 2.0 (the # \"License\"); you may","None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ ==","None])) result = arr >= scalar assert result.equals(con([False, True, True,","1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1,","('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)),","is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask","True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32',","test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop =","= [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64()","you under the Apache License, Version 2.0 (the # \"License\");","= pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr =","test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(),","# KIND, either express or implied. See the License for","arr <= scalar assert result.equals(con([True, True, False, None])) result =","result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None],","= arr < scalar assert result.equals(con([True, False, False, None])) result","empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate()","indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2,","table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None],","= pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ # mask","['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate()","\"array\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values])","1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1,","pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type):","pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected","agreements. See the NOTICE file # distributed with this work","language governing permissions and limitations # under the License. import","!= scalar assert result.equals(con([True, False, True, None])) result = arr","all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type","]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\")","licenses this file # to you under the Apache License,","limitations # under the License. import numpy as np import","== 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type)","# mask is array pa.array([True, False, None, False, True]), #","in [ arr == arr_chunked, arr_chunked == arr, arr_chunked ==","expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask,","pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True])","type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4,","= pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be the","by applicable law or agreed to in writing, # software","arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4],","# Unless required by applicable law or agreed to in","arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b',","\"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None,","'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask","numpy as np import pytest import pyarrow as pa import","= pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\",","False, True]]), # mask is python object [True, False, None,","np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)),","[9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None,","names=[\"a\"]) for obj in [arr, batch, table]: # non-boolean dtype","arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\",","'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4,","pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices)","= pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"])","def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert","@pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty)","IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,","numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)])","result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])],","= pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty","result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask","License. You may obtain a copy of the License at","True, None, None])) result = arr1 > arr2 assert result.equals(con([False,","You may obtain a copy of the License at #","2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10","pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices","pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15]) assert","('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']),","\"e\"])], names=[\"a\"]) for obj in [arr, batch, table]: # non-boolean","test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False,","arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices =","= arr1 < arr2 assert result.equals(con([False, False, True, None, None]))","obj in [arr, batch, table]: # non-boolean dtype mask =","('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0,","('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64',","obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with","= pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8])","arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a']","'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty,","all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def","<= arr2 assert result.equals(con([True, False, True, None, None])) result =","this is a hacky way to construct a scalar ..","compliance # with the License. You may obtain a copy","\"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array mask =","scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr =","4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for","= table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null)","type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr","pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5))","type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2,","pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [ # mask","pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty)","True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask,","<reponame>kylebrandt/arrow # Licensed to the Apache Software Foundation (ASF) under","type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2],","result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ):","= pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in","pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3],","('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5,","arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2,","assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr =","arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([],","all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8',","(pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None,"],"string":"[\n \"None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result\",\n \"5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(),\",\n \"OF ANY # KIND, either express or implied. See the\",\n \"('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3,\",\n \"type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr)\",\n \"4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1,\",\n \"False, None])) result = arr != scalar assert result.equals(con([True, False,\",\n \"2, 3, 4, 5]) right = pa.array([0, -1, 1, 2,\",\n \"[b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def',\",\n \"[ # mask is array pa.array([True, False, None, False, True]),\",\n \"more contributor license agreements. See the NOTICE file # distributed\",\n \"True, None, None])) result = arr1 <= arr2 assert result.equals(con([True,\",\n \"True]), # mask is chunked array pa.chunked_array([[True, False, None], [False,\",\n \"scalar assert result.equals(con([False, True, False, None])) result = arr !=\",\n \"expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) #\",\n \"in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices\",\n \"Apache Software Foundation (ASF) under one # or more contributor\",\n \"False, None, False, True]), # mask is chunked array pa.chunked_array([[True,\",\n \"> arr2 assert result.equals(con([False, True, False, None, None])) result =\",\n \"pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert\",\n \"\\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None,\",\n \"expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [\",\n \"= arr != scalar assert result.equals(con([True, False, True, None])) result\",\n \"4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]:\",\n \"WARRANTIES OR CONDITIONS OF ANY # KIND, either express or\",\n \"3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2,\",\n \"pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result =\",\n \"2.0 (the # \\\"License\\\"); you may not use this file\",\n \"TODO this is a hacky way to construct a scalar\",\n \"arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left\",\n \"arr != scalar assert result.equals(con([True, False, True, None])) result =\",\n \"\\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])],\",\n \"2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr)\",\n \"False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result =\",\n \"pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True,\",\n \"expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])],\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]],\",\n \"= pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True,\",\n \"specific language governing permissions and limitations # under the License.\",\n \"result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty',\",\n \"null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def\",\n \"1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert\",\n \"def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right\",\n \"under the License is distributed on an # \\\"AS IS\\\"\",\n \"table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def\",\n \"result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices =\",\n \"BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either\",\n \"None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([],\",\n \"result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"])\",\n \"\\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]:\",\n \"be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ):\",\n \"right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left,\",\n \"\\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #\",\n \"'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5,\",\n \"pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same\",\n \"scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False,\",\n \"[2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()),\",\n \"result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4,\",\n \"indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices)\",\n \"2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result =\",\n \"obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\":\",\n \"names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None,\",\n \"[None, False, True]]), # mask is python object [True, False,\",\n \"== scalar assert result.equals(con([False, True, False, None])) result = arr\",\n \"[ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ]\",\n \"distributed with this work for additional information # regarding copyright\",\n \"pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def\",\n \"= pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert\",\n \"the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None],\",\n \"arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left =\",\n \"2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1,\",\n \"assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4,\",\n \"mask is array pa.array([True, False, None, False, True]), # mask\",\n \"== 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None\",\n \"assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\",\",\n \"for the # specific language governing permissions and limitations #\",\n \"5]) right = pa.array([0, -1, 1, 2, 3]) result =\",\n \"chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is\",\n \"pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected\",\n \"arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711\",\n \"numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(),\",\n \"result = arr1 < arr2 assert result.equals(con([False, False, True, None,\",\n \"def test_compare_array(typ): if typ == \\\"array\\\": def con(values): return pa.array(values)\",\n \"See the License for the # specific language governing permissions\",\n \"to in writing, # software distributed under the License is\",\n \"None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null =\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"result = arr >= scalar assert result.equals(con([False, True, True, None]))\",\n \"pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False,\",\n \"assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type),\",\n \"arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]:\",\n \"governing permissions and limitations # under the License. import numpy\",\n \"assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) ==\",\n \"values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]:\",\n \"= pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32',\",\n \"pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2,\",\n \"= con([1, 1, 4, None, 4]) result = arr1 ==\",\n \"pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered)\",\n \"True, False, None])) result = arr > scalar assert result.equals(con([False,\",\n \"way to construct a scalar .. scalar = pa.array([2]).sum() result\",\n \"None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])],\",\n \"# TODO this is a hacky way to construct a\",\n \"1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask =\",\n \"assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\",\",\n \"[False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0,\",\n \"dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError):\",\n \"assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def\",\n \"file # distributed with this work for additional information #\",\n \"pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array():\",\n \"assert result.equals(con([True, False, True, None, None])) result = arr1 >\",\n \"{'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(),\",\n \"arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected)\",\n \"('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5,\",\n \"test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else:\",\n \"result = arr1 != arr2 assert result.equals(con([False, True, True, None,\",\n \"import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True,\",\n \"pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr\",\n \"in [ # mask is array pa.array([True, False, None, False,\",\n \"test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16',\",\n \"= pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True,\",\n \"('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)),\",\n \"mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), #\",\n \"b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1,\",\n \"def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch\",\n \"= [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)),\",\n \"np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double',\",\n \"arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices\",\n \"None])) result = arr1 <= arr2 assert result.equals(con([True, False, True,\",\n \"True]), # mask is chunked array pa.chunked_array([[True, False], [None, False,\",\n \"arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result\",\n \"assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a',\",\n \"= pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False,\",\n \"result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None])\",\n \"4]) result = arr1 == arr2 assert result.equals(con([True, False, False,\",\n \"implied. See the License for the # specific language governing\",\n \"names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in\",\n \"scalar .. scalar = pa.array([2]).sum() result = arr == scalar\",\n \"expected = pa.chunked_array([[True, True, True, True, None]]) for result in\",\n \"to you under the Apache License, Version 2.0 (the #\",\n \"result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate()\",\n \"pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr,\",\n \"np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64',\",\n \"names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\",\",\n \"python object [True, False, None, False, True] ]: result =\",\n \"same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ\",\n \"result.equals(con([True, False, False, None])) result = arr <= scalar assert\",\n \"for result in [ arr == arr_chunked, arr_chunked == arr,\",\n \"[None, \\\"e\\\"]]) for mask in [ # mask is array\",\n \"indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected\",\n \"result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2,\",\n \"[ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2,\",\n \"0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask\",\n \"0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b',\",\n \"None])) result = arr > scalar assert result.equals(con([False, False, True,\",\n \"is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr =\",\n \"wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must\",\n \"chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is\",\n \"may not use this file except in compliance # with\",\n \"mask is python object [True, False, None, False, True] ]:\",\n \"('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde',\",\n \"arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch(\",\n \"type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None #\",\n \"array pa.array([True, False, None, False, True]), # mask is chunked\",\n \"expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table():\",\n \"typ == \\\"array\\\": def con(values): return pa.array(values) else: def con(values):\",\n \"assert result.equals(con([False, False, True, None])) result = arr >= scalar\",\n \"arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\",\",\n \"a hacky way to construct a scalar .. scalar =\",\n \"arr2 assert result.equals(con([False, True, False, None, None])) result = arr1\",\n \"= arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b',\",\n \"assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum()\",\n \"[3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2,\",\n \"= pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711\",\n \"type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) ==\",\n \"None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values):\",\n \"result = arr <= scalar assert result.equals(con([True, True, False, None]))\",\n \"pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected\",\n \"License, Version 2.0 (the # \\\"License\\\"); you may not use\",\n \"indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None],\",\n \"either express or implied. See the License for the #\",\n \"result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6,\",\n \"result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr\",\n \"np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary',\",\n \"scalar assert result.equals(con([True, False, True, None])) result = arr <\",\n \"< scalar assert result.equals(con([True, False, False, None])) result = arr\",\n \"np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b',\",\n \"[b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4],\",\n \"3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left =\",\n \"indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected =\",\n \"= con([1, 2, 3, None]) # TODO this is a\",\n \"result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a',\",\n \"4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([\",\n \"arr2 assert result.equals(con([True, False, True, None, None])) result = arr1\",\n \"= arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) #\",\n \"values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3],\",\n \"import numpy as np import pytest import pyarrow as pa\",\n \"additional information # regarding copyright ownership. The ASF licenses this\",\n \"non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with\",\n \"expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def\",\n \"'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(),\",\n \"pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert\",\n \"10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks ==\",\n \"type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None],\",\n \"See the NOTICE file # distributed with this work for\",\n \"[\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"],\",\n \"# noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1,\",\n \"3, 4, None]) arr2 = con([1, 1, 4, None, 4])\",\n \"pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True])\",\n \"arr1 = con([1, 2, 3, 4, None]) arr2 = con([1,\",\n \"con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) #\",\n \"None]) # TODO this is a hacky way to construct\",\n \"= pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1,\",\n \"3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b',\",\n \"False, True]) with pytest.raises(ValueError, match=\\\"must all be the same length\\\"):\",\n \"Apache License, Version 2.0 (the # \\\"License\\\"); you may not\",\n \"assert result.equals(con([False, True, True, None, None])) result = arr1 <\",\n \"pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b':\",\n \"pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10\",\n \"0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'),\",\n \"np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float',\",\n \"4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3,\",\n \"[[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a',\",\n \"arr == scalar assert result.equals(con([False, True, False, None])) result =\",\n \"is array mask = pa.array([True, False, None, False, True]) result\",\n \"result.equals(con([True, False, True, None])) result = arr < scalar assert\",\n \"result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result\",\n \"\\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask = pa.array([True,\",\n \"= arr == scalar assert result.equals(con([False, True, False, None])) result\",\n \"length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ ==\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with\",\n \"3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types\",\n \"= pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type)\",\n \"null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null')\",\n \"file except in compliance # with the License. You may\",\n \"type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type)\",\n \"pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result\",\n \"True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)),\",\n \"is array pa.array([True, False, None, False, True]), # mask is\",\n \"# specific language governing permissions and limitations # under the\",\n \"None])) result = arr != scalar assert result.equals(con([True, False, True,\",\n \"b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None,\",\n \"[True, False, None, False, True] ]: result = arr.filter(mask) assert\",\n \"None, None])) result = arr1 <= arr2 assert result.equals(con([True, False,\",\n \"type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices)\",\n \"== ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c']\",\n \"assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1,\",\n \"result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2,\",\n \"True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3,\",\n \"0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask\",\n \"False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop)\",\n \"you may not use this file except in compliance #\",\n \"\\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null\",\n \"'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert\",\n \"0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True,\",\n \"all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask =\",\n \"type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert\",\n \"6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a':\",\n \"use this file except in compliance # with the License.\",\n \"in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with\",\n \"None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty))\",\n \"\\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return\",\n \"= pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'],\",\n \"contributor license agreements. See the NOTICE file # distributed with\",\n \"== 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4],\",\n \"pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type',\",\n \"arr2 = con([1, 1, 4, None, 4]) result = arr1\",\n \"result = arr1 >= arr2 assert result.equals(con([True, True, False, None,\",\n \"type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type)\",\n \"None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\",\",\n \"noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2,\",\n \"for mask in [ # mask is array pa.array([True, False,\",\n \"arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"])\",\n \"0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a',\",\n \"result = arr1 <= arr2 assert result.equals(con([True, False, True, None,\",\n \"arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask,\",\n \"test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch =\",\n \"= pa.chunked_array([[True, True, True, True, None]]) for result in [\",\n \"= pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) #\",\n \"('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)),\",\n \"an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in\",\n \"the License. import numpy as np import pytest import pyarrow\",\n \"pytest import pyarrow as pa import pyarrow.compute all_array_types = [\",\n \"pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a':\",\n \"1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask =\",\n \"scalar assert result.equals(con([True, False, False, None])) result = arr <=\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express\",\n \"np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)),\",\n \"numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type)\",\n \"= pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([],\",\n \"with this work for additional information # regarding copyright ownership.\",\n \"mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), #\",\n \"pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\",\",\n \"match=\\\"must all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr\",\n \"2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0,\",\n \"null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\",\",\n \"@pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4],\",\n \"2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1,\",\n \"expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def\",\n \"for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64',\",\n \"work for additional information # regarding copyright ownership. The ASF\",\n \"pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True,\",\n \"mask = pa.array([True, False, False, True, None]) result = arr.filter(mask,\",\n \"[False, True]]), # mask is python object [True, False, None,\",\n \"arr2 assert result.equals(con([False, False, True, None, None])) result = arr1\",\n \"1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0,\",\n \"distributed under the License is distributed on an # \\\"AS\",\n \"pa.chunked_array([[True, True, True, True, None]]) for result in [ arr\",\n \"assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values):\",\n \"table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop =\",\n \"None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask is\",\n \"return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1,\",\n \"# mask is chunked array pa.chunked_array([[True, False, None], [False, True]]),\",\n \"names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\",\",\n \"True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4,\",\n \"= pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\")\",\n \"# software distributed under the License is distributed on an\",\n \"test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop\",\n \"False, True, None])) result = arr < scalar assert result.equals(con([True,\",\n \"None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1,\",\n \"test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"])\",\n \"'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc',\",\n \"expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for\",\n \"False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop)\",\n \"the License. You may obtain a copy of the License\",\n \"pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null\",\n \"mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be\",\n \"# mask is python object [True, False, None, False, True]\",\n \"] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(),\",\n \"result = arr1 == arr2 assert result.equals(con([True, False, False, None,\",\n \"assert result.equals(con([True, False, False, None])) result = arr <= scalar\",\n \"result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch =\",\n \"pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert\",\n \"None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 =\",\n \"pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 =\",\n \"'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']),\",\n \"\\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"])\",\n \"under the Apache License, Version 2.0 (the # \\\"License\\\"); you\",\n \"2, 3, 4, None]) arr2 = con([1, 1, 4, None,\",\n \"False, None, None])) result = arr1 != arr2 assert result.equals(con([False,\",\n \"distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR\",\n \"ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values,\",\n \"regarding copyright ownership. The ASF licenses this file # to\",\n \"pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert\",\n \"[pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError):\",\n \"None])) result = arr1 < arr2 assert result.equals(con([False, False, True,\",\n \"or agreed to in writing, # software distributed under the\",\n \"arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def\",\n \"with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False,\",\n \"arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1,\",\n \"pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([],\",\n \"pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected\",\n \"arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with\",\n \"arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result\",\n \"result = arr < scalar assert result.equals(con([True, False, False, None]))\",\n \"pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type):\",\n \"np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32',\",\n \"10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type)\",\n \"0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd',\",\n \"assert result.equals(con([True, False, False, None, None])) result = arr1 !=\",\n \"be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\",\",\n \"assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered\",\n \"and limitations # under the License. import numpy as np\",\n \"values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1,\",\n \"4, None, 4]) result = arr1 == arr2 assert result.equals(con([True,\",\n \"\\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def con(values): return\",\n \"result.equals(con([True, False, True, None, None])) result = arr1 > arr2\",\n \"for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2],\",\n \"'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result =\",\n \"4, None]) arr2 = con([1, 1, 4, None, 4]) result\",\n \"con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None])\",\n \"arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]])\",\n \"== arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1,\",\n \"return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO\",\n \"or more contributor license agreements. See the NOTICE file #\",\n \"# under the License. import numpy as np import pytest\",\n \"None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask\",\n \"1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length\",\n \"type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr\",\n \"result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch\",\n \"this work for additional information # regarding copyright ownership. The\",\n \"E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values,\",\n \"= batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert\",\n \"right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected)\",\n \"the NOTICE file # distributed with this work for additional\",\n \"4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1,\",\n \"pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert\",\n \"result.equals(con([False, True, False, None, None])) result = arr1 >= arr2\",\n \"None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None])\",\n \"arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None\",\n \"pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be the same\",\n \"result.equals(con([True, False, False, None, None])) result = arr1 != arr2\",\n \"3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4,\",\n \"== None # noqa: E711 assert pa.compute.sum(arr) == None #\",\n \"None]]) for result in [ arr == arr_chunked, arr_chunked ==\",\n \"\\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null =\",\n \"pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table =\",\n \"left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0,\",\n \"== arr2 assert result.equals(con([True, False, False, None, None])) result =\",\n \"# wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid,\",\n \"pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for\",\n \"with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False,\",\n \"False, True, None, None])) result = arr1 <= arr2 assert\",\n \"] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3,\",\n \"= pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices =\",\n \"\\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]])\",\n \"mask in [ # mask is array pa.array([True, False, None,\",\n \"pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr)\",\n \"= arr <= scalar assert result.equals(con([True, True, False, None])) result\",\n \"= arr >= scalar assert result.equals(con([False, True, True, None])) def\",\n \"False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result =\",\n \"right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left,\",\n \"= arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty)\",\n \"arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result\",\n \"pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError):\",\n \"@pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty)\",\n \"batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table\",\n \"= pa.array(values, type=ty) mask = pa.array([True, False, False, True, None])\",\n \"0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True,\",\n \"def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop\",\n \"3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([\",\n \"= pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\",\",\n \"result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5])\",\n \"(pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]),\",\n \"'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None],\",\n \"[pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array\",\n \"type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1,\",\n \"assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types)\",\n \"same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\",\",\n \"= arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result =\",\n \"None])) result = arr <= scalar assert result.equals(con([True, True, False,\",\n \"1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1,\",\n \"values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices\",\n \"== 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type),\",\n \"pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0,\",\n \"= batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result\",\n \"pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left\",\n \"KIND, either express or implied. See the License for the\",\n \"[pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result\",\n \"pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])],\",\n \"expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type\",\n \"import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool',\",\n \"10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string',\",\n \"pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32',\",\n \"right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left,\",\n \"np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5,\",\n \"arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1,\",\n \"# wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError,\",\n \"True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask)\",\n \"\\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask\",\n \"arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed():\",\n \"type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) ==\",\n \"b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9,\",\n \"pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(),\",\n \"array pa.chunked_array([[True, False], [None, False, True]]), # mask is python\",\n \"True, False, None, None])) result = arr1 >= arr2 assert\",\n \"None])) result = arr1 >= arr2 assert result.equals(con([True, True, False,\",\n \"result.equals(con([True, True, False, None])) result = arr > scalar assert\",\n \"arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa:\",\n \"False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0],\",\n \"pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def\",\n \"-1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for\",\n \"with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type\",\n \"False, None], [False, True]]), # mask is python object [True,\",\n \"or implied. See the License for the # specific language\",\n \"16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2},\",\n \"express or implied. See the License for the # specific\",\n \"result.equals(con([False, True, True, None, None])) result = arr1 < arr2\",\n \"if typ == \\\"array\\\": def con(values): return pa.array(values) else: def\",\n \"('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c',\",\n \"@pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def\",\n \"mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be\",\n \"arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert\",\n \"= pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]])\",\n \"= arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices\",\n \"pa.chunked_array([[True, False], [None, False, True]]), # mask is python object\",\n \"= pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right)\",\n \"the # specific language governing permissions and limitations # under\",\n \"con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr =\",\n \"names=[\\\"a'\\\"]) # mask is array mask = pa.array([True, False, None,\",\n \"[arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1,\",\n \"[\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\",\",\n \"batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0,\",\n \"2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True,\",\n \"assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4,\",\n \"mask is array mask = pa.array([True, False, None, False, True])\",\n \"\\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask = pa.array([True, False,\",\n \"may obtain a copy of the License at # #\",\n \"True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert\",\n \"4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((),\",\n \"def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"])\",\n \"result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected)\",\n \"'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd',\",\n \"False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"):\",\n \"arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1,\",\n \"[[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()),\",\n \"The ASF licenses this file # to you under the\",\n \"arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types():\",\n \"pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ # mask is\",\n \"== 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks\",\n \"[\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values):\",\n \"3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) ==\",\n \"\\\"e\\\"]]) for mask in [ # mask is array pa.array([True,\",\n \"assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa:\",\n \"<= scalar assert result.equals(con([True, True, False, None])) result = arr\",\n \"# mask is chunked array pa.chunked_array([[True, False], [None, False, True]]),\",\n \"[\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def con(values):\",\n \"batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected)\",\n \"arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def\",\n \"# Licensed to the Apache Software Foundation (ASF) under one\",\n \"pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this\",\n \"def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked\",\n \"['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert\",\n \"\\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected =\",\n \"assert result.equals(con([True, True, False, None])) result = arr > scalar\",\n \"is a hacky way to construct a scalar .. scalar\",\n \"2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3,\",\n \"mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask)\",\n \"with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\",\",\n \"def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4,\",\n \"test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a',\",\n \"arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0\",\n \"'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is\",\n \"= pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask\",\n \"pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) ==\",\n \"law or agreed to in writing, # software distributed under\",\n \"== \\\"array\\\": def con(values): return pa.array(values) else: def con(values): return\",\n \"Foundation (ASF) under one # or more contributor license agreements.\",\n \"[ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4},\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr\",\n \"assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4,\",\n \"= pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with\",\n \"= pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) #\",\n \"batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) #\",\n \"Software Foundation (ASF) under one # or more contributor license\",\n \"0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None,\",\n \"None, 4]) result = arr1 == arr2 assert result.equals(con([True, False,\",\n \"arr > scalar assert result.equals(con([False, False, True, None])) result =\",\n \"# regarding copyright ownership. The ASF licenses this file #\",\n \"type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2],\",\n \"in compliance # with the License. You may obtain a\",\n \"# to you under the Apache License, Version 2.0 (the\",\n \"License for the # specific language governing permissions and limitations\",\n \"= pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate()\",\n \"\\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"])\",\n \">= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\",\",\n \"False], [None, False, True]]), # mask is python object [True,\",\n \"arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) ==\",\n \"OR CONDITIONS OF ANY # KIND, either express or implied.\",\n \"b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6],\",\n \"None, False, True]), # mask is chunked array pa.chunked_array([[True, False],\",\n \"result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\",\",\n \"result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8,\",\n \"result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5])\",\n \"# noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr\",\n \"= pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply():\",\n \"@pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4],\",\n \"right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected)\",\n \"1, 4, None, 4]) result = arr1 == arr2 assert\",\n \"assert result.equals(con([False, True, False, None])) result = arr != scalar\",\n \"> scalar assert result.equals(con([False, False, True, None])) result = arr\",\n \"noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr =\",\n \"= arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch(\",\n \"assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\",\",\n \"this file # to you under the Apache License, Version\",\n \"None, False, True]), # mask is chunked array pa.chunked_array([[True, False,\",\n \"result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b',\",\n \"\\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask is array\",\n \"result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked\",\n \"copyright ownership. The ASF licenses this file # to you\",\n \"E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types)\",\n \"None, None])) result = arr1 != arr2 assert result.equals(con([False, True,\",\n \"right) expected = pa.array([0, -2, 3, 8, 15]) assert result.equals(expected)\",\n \"with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr =\",\n \"assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr))\",\n \"{'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ]\",\n \"is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask\",\n \"in writing, # software distributed under the License is distributed\",\n \"('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)),\",\n \"arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True,\",\n \"type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr\",\n \"None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected =\",\n \"result = arr == scalar assert result.equals(con([False, True, False, None]))\",\n \"result.equals(con([False, True, False, None])) result = arr != scalar assert\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"= arr1 > arr2 assert result.equals(con([False, True, False, None, None]))\",\n \"License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT\",\n \"length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all\",\n \"pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr\",\n \"E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3,\",\n \"# mask is array mask = pa.array([True, False, None, False,\",\n \"True]) with pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask)\",\n \"with pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask) def\",\n \"6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5,\",\n \"= pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the\",\n \"'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered\",\n \"2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b':\",\n \"True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask,\",\n \"# \\\"License\\\"); you may not use this file except in\",\n \"assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors():\",\n \"result = arr1 > arr2 assert result.equals(con([False, True, False, None,\",\n \"-1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected =\",\n \"# \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"pa.array([True, False, None, False, True]) result = batch.filter(mask) expected =\",\n \"result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2,\",\n \"arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result\",\n \"object [True, False, None, False, True] ]: result = arr.filter(mask)\",\n \"to the Apache Software Foundation (ASF) under one # or\",\n \"True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if\",\n \"16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9,\",\n \"\\\"License\\\"); you may not use this file except in compliance\",\n \"arr < scalar assert result.equals(con([True, False, False, None])) result =\",\n \"a scalar .. scalar = pa.array([2]).sum() result = arr ==\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices =\",\n \"wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must\",\n \"4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]),\",\n \"3, None]) # TODO this is a hacky way to\",\n \"# empty indices indices = pa.array([], type=indices_type) result = arr.take(indices)\",\n \"pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr =\",\n \"under the License. import numpy as np import pytest import\",\n \"'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type)\",\n \"'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result\",\n \"True, None])) result = arr < scalar assert result.equals(con([True, False,\",\n \"# distributed with this work for additional information # regarding\",\n \"None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(),\",\n \"True, True, None]]) for result in [ arr == arr_chunked,\",\n \"False, True, None])) result = arr >= scalar assert result.equals(con([False,\",\n \"writing, # software distributed under the License is distributed on\",\n \"pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1,\",\n \"pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def\",\n \"null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None,\",\n \"False, None])) result = arr <= scalar assert result.equals(con([True, True,\",\n \"2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2,\",\n \"[5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4],\",\n \"{'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None,\",\n \"]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3,\",\n \"pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert\",\n \"arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ])\",\n \"permissions and limitations # under the License. import numpy as\",\n \"None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\",\",\n \"CONDITIONS OF ANY # KIND, either express or implied. See\",\n \"arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"],\",\n \"names=[\\\"a\\\"]) for mask in [ # mask is array pa.array([True,\",\n \"type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1,\",\n \"'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for\",\n \"result = arr != scalar assert result.equals(con([True, False, True, None]))\",\n \"10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3,\",\n \"('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)),\",\n \"assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask =\",\n \"def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1\",\n \"= pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right)\",\n \"1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a':\",\n \"else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3,\",\n \"None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0,\",\n \"2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr =\",\n \"None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result\",\n \"result.equals(con([False, False, True, None, None])) result = arr1 <= arr2\",\n \"# non-boolean dtype mask = pa.array([0, 1, 0, 1, 0])\",\n \"indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type)\",\n \"True, True, True, None]]) for result in [ arr ==\",\n \"np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5,\",\n \"pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3,\",\n \"arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16',\",\n \"arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True,\",\n \"con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 =\",\n \"for additional information # regarding copyright ownership. The ASF licenses\",\n \"b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()),\",\n \"4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected =\",\n \"# noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711\",\n \"the Apache Software Foundation (ASF) under one # or more\",\n \"in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type)\",\n \"result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr =\",\n \"# # Unless required by applicable law or agreed to\",\n \"1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length\",\n \"Version 2.0 (the # \\\"License\\\"); you may not use this\",\n \"pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in\",\n \"test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right =\",\n \"b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5,\",\n \"None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]),\",\n \"pa.chunked_array([[True, False, None], [False, True]]), # mask is python object\",\n \"4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2\",\n \"= arr1 >= arr2 assert result.equals(con([True, True, False, None, None]))\",\n \"one # or more contributor license agreements. See the NOTICE\",\n \"import pytest import pyarrow as pa import pyarrow.compute all_array_types =\",\n \"expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ #\",\n \"names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1,\",\n \"None, None])) result = arr1 < arr2 assert result.equals(con([False, False,\",\n \"construct a scalar .. scalar = pa.array([2]).sum() result = arr\",\n \"= pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table =\",\n \"arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected)\",\n \"result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for\",\n \"indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']:\",\n \"result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0],\",\n \"return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2\",\n \"= con([1, 2, 3, 4, None]) arr2 = con([1, 1,\",\n \"!= arr2 assert result.equals(con([False, True, True, None, None])) result =\",\n \"= pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract():\",\n \"arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean\",\n \"License. import numpy as np import pytest import pyarrow as\",\n \"= pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table\",\n \"assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def\",\n \"'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def\",\n \"None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4],\",\n \"result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty))\",\n \"test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr)\",\n \"except in compliance # with the License. You may obtain\",\n \"4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def\",\n \"= arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null)\",\n \"3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]])\",\n \"== arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add():\",\n \"3, 4, 5]) right = pa.array([0, -1, 1, 2, 3])\",\n \"con([1, 1, 4, None, 4]) result = arr1 == arr2\",\n \"8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3,\",\n \"pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types)\",\n \"@pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2,\",\n \"def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2],\",\n \"= pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15])\",\n \"4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [\",\n \"None # noqa: E711 assert pa.compute.sum(arr) == None # noqa:\",\n \"NOTICE file # distributed with this work for additional information\",\n \"\\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\",\",\n \"pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True])\",\n \"False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)),\",\n \"3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist()\",\n \"this file except in compliance # with the License. You\",\n \"pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is\",\n \"3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]])\",\n \"1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result\",\n \"values[2], None], type=ty) assert result.equals(expected) # empty indices indices =\",\n \"= pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right)\",\n \"'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2,\",\n \"null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype\",\n \"length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\",\",\n \"return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1,\",\n \"license agreements. See the NOTICE file # distributed with this\",\n \"= pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in\",\n \">= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr\",\n \"-1, 1, 2, 3]) result = pa.compute.add(left, right) expected =\",\n \"required by applicable law or agreed to in writing, #\",\n \"[9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b':\",\n \"None])) result = arr1 != arr2 assert result.equals(con([False, True, True,\",\n \"result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]])\",\n \"\\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]: #\",\n \"6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2,\",\n \"2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2,\",\n \"ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() ==\",\n \"True, False, None])) result = arr != scalar assert result.equals(con([True,\",\n \"pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]),\",\n \"else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3,\",\n \"assert result.equals(con([True, False, True, None])) result = arr < scalar\",\n \"True, None]]) for result in [ arr == arr_chunked, arr_chunked\",\n \"None]) arr2 = con([1, 1, 4, None, 4]) result =\",\n \"the License for the # specific language governing permissions and\",\n \"result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])],\",\n \"None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr =\",\n \"= arr1 == arr2 assert result.equals(con([True, False, False, None, None]))\",\n \"6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(),\",\n \"def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right\",\n \"ANY # KIND, either express or implied. See the License\",\n \"False, False, None, None])) result = arr1 != arr2 assert\",\n \"result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0,\",\n \"mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask)\",\n \"the License is distributed on an # \\\"AS IS\\\" BASIS,\",\n \"True, None, None])) result = arr1 < arr2 assert result.equals(con([False,\",\n \"False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ\",\n \"assert result.equals(con([False, True, False, None, None])) result = arr1 >=\",\n \"2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0],\",\n \"5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError):\",\n \"True]]), # mask is python object [True, False, None, False,\",\n \"10 arr = pa.array([], type=arrow_type) assert arr.sum() == None #\",\n \"None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch,\",\n \"result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert\",\n \"test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum()\",\n \"4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10\",\n \"assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices\",\n \"pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\",\",\n \"= arr1 <= arr2 assert result.equals(con([True, False, True, None, None]))\",\n \"con([1, 2, 3, None]) # TODO this is a hacky\",\n \"result.equals(con([False, False, True, None])) result = arr >= scalar assert\",\n \"= arr1 != arr2 assert result.equals(con([False, True, True, None, None]))\",\n \"2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3]))\",\n \"pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2,\",\n \"10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0,\",\n \"= arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert\",\n \"result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr\",\n \"arr = con([1, 2, 3, None]) # TODO this is\",\n \"not use this file except in compliance # with the\",\n \"array pa.chunked_array([[True, False, None], [False, True]]), # mask is python\",\n \"False, None, None])) result = arr1 >= arr2 assert result.equals(con([True,\",\n \"all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr =\",\n \"= table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\",\",\n \"def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr\",\n \"True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1,\",\n \"True, True, None, None])) result = arr1 < arr2 assert\",\n \"2, 3, None]) # TODO this is a hacky way\",\n \"None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3),\",\n \"['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types)\",\n \"result = arr > scalar assert result.equals(con([False, False, True, None]))\",\n \"2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4,\",\n \"def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right\",\n \"Unless required by applicable law or agreed to in writing,\",\n \"== arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert\",\n \"type=ty) mask = pa.array([True, False, False, True, None]) result =\",\n \"con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4,\",\n \"None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4,\",\n \"pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() ==\",\n \"== None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty,\",\n \"None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\",\",\n \"(pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3,\",\n \"match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"])\",\n \"object [True, False, None, False, True] ]: result = table.filter(mask)\",\n \"False, None])) result = arr > scalar assert result.equals(con([False, False,\",\n \"True, None])) result = arr >= scalar assert result.equals(con([False, True,\",\n \"False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\",\",\n \"4, 5]) right = pa.array([0, -1, 1, 2, 3]) result\",\n \"pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong\",\n \"(ASF) under one # or more contributor license agreements. See\",\n \"result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert\",\n \"pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False,\",\n \"hacky way to construct a scalar .. scalar = pa.array([2]).sum()\",\n \"array mask = pa.array([True, False, None, False, True]) result =\",\n \"result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result =\",\n \"# or more contributor license agreements. See the NOTICE file\",\n \"[pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None,\",\n \"agreed to in writing, # software distributed under the License\",\n \"3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3,\",\n \"pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None,\",\n \"\\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\",\",\n \"2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1],\",\n \"False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"])\",\n \"False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert\",\n \"= pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ #\",\n \"]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\")\",\n \"for obj in [arr, batch, table]: # non-boolean dtype mask\",\n \"pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2,\",\n \"2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr)\",\n \"[4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected\",\n \"result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5])\",\n \"pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ])\",\n \"assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch():\",\n \"2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices\",\n \"== None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr\",\n \"None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices =\",\n \"result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() ==\",\n \"arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() ==\",\n \"= pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2],\",\n \"None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"])\",\n \"length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all\",\n \"to construct a scalar .. scalar = pa.array([2]).sum() result =\",\n \"10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert\",\n \"(the # \\\"License\\\"); you may not use this file except\",\n \"< arr2 assert result.equals(con([False, False, True, None, None])) result =\",\n \"[ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8',\",\n \"scalar assert result.equals(con([False, False, True, None])) result = arr >=\",\n \"test_compare_array(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else:\",\n \"pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1,\",\n \"pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected\",\n \"def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert\",\n \"arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8',\",\n \"in [arr, batch, table]: # non-boolean dtype mask = pa.array([0,\",\n \"= pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1])\",\n \"is python object [True, False, None, False, True] ]: result\",\n \"ASF licenses this file # to you under the Apache\",\n \"False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16',\",\n \"values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False,\",\n \"]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2],\",\n \"('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a',\",\n \"test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right =\",\n \"pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong\",\n \"result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected)\",\n \"on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS\",\n \"pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate()\",\n \"None], [False, True]]), # mask is python object [True, False,\",\n \"ownership. The ASF licenses this file # to you under\",\n \"'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types =\",\n \"mask = pa.array([True, False, None, False, True]) result = batch.filter(mask)\",\n \"pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left\",\n \"assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None,\",\n \"'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist()\",\n \"noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type',\",\n \"\\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])],\",\n \"for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2,\",\n \"= arr > scalar assert result.equals(con([False, False, True, None])) result\",\n \"as pa import pyarrow.compute all_array_types = [ ('bool', [True, False,\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"np import pytest import pyarrow as pa import pyarrow.compute all_array_types\",\n \"2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered):\",\n \"arr2 assert result.equals(con([False, True, True, None, None])) result = arr1\",\n \"None])) result = arr1 > arr2 assert result.equals(con([False, True, False,\",\n \"[5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [\",\n \"= pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop')\",\n \"@pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def\",\n \"with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices)\",\n \"with the License. You may obtain a copy of the\",\n \"pa.array([True, False, None, False, True]), # mask is chunked array\",\n \"batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result =\",\n \"b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2],\",\n \"False, True]), # mask is chunked array pa.chunked_array([[True, False, None],\",\n \"def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])],\",\n \"table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj\",\n \"= pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2,\",\n \"== ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'),\",\n \"applicable law or agreed to in writing, # software distributed\",\n \"[True, False, None, False, True] ]: result = table.filter(mask) assert\",\n \"assert result.equals(con([False, False, True, None, None])) result = arr1 <=\",\n \"pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0,\",\n \"= pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask\",\n \"def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None])\",\n \"arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result\",\n \"None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\":\",\n \"def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return pa.array(values)\",\n \"= pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10\",\n \"['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd',\",\n \"[True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16',\",\n \"is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES\",\n \"def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8',\",\n \"assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0,\",\n \"file # to you under the Apache License, Version 2.0\",\n \"= pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10\",\n \"arr2 assert result.equals(con([True, False, False, None, None])) result = arr1\",\n \"2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4,\",\n \"0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0,\",\n \"None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6],\",\n \"False, False, None])) result = arr <= scalar assert result.equals(con([True,\",\n \"= pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2])\",\n \"# with the License. You may obtain a copy of\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"None, None])) result = arr1 >= arr2 assert result.equals(con([True, True,\",\n \"None])) result = arr < scalar assert result.equals(con([True, False, False,\",\n \"expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5])\",\n \"b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']),\",\n \"test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked =\",\n \"software distributed under the License is distributed on an #\",\n \"None, None])) result = arr1 > arr2 assert result.equals(con([False, True,\",\n \"Licensed to the Apache Software Foundation (ASF) under one #\",\n \".. scalar = pa.array([2]).sum() result = arr == scalar assert\",\n \"(pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]),\",\n \"[3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]])\",\n \"1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left =\",\n \"result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected)\",\n \"'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0,\",\n \"False, True]), # mask is chunked array pa.chunked_array([[True, False], [None,\",\n \"2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3,\",\n \"as np import pytest import pyarrow as pa import pyarrow.compute\",\n \"the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if\",\n \"scalar assert result.equals(con([True, True, False, None])) result = arr >\",\n \"under one # or more contributor license agreements. See the\",\n \"False, True, None, None])) result = arr1 > arr2 assert\",\n \"assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert\",\n \"test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right =\",\n \"indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered',\",\n \"== 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty',\",\n \"def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True,\",\n \"[\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [\",\n \"-1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected =\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3,\",\n \"= pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert\",\n \"= pa.array([True, False, None, False, True]) result = batch.filter(mask) expected\",\n \"]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr,\",\n \"pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in\",\n \"None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result\",\n \"information # regarding copyright ownership. The ASF licenses this file\",\n \"pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr =\",\n \"assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result\",\n \"pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr)\",\n \"print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None\",\n \"the Apache License, Version 2.0 (the # \\\"License\\\"); you may\",\n \"None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ ==\",\n \"None])) result = arr >= scalar assert result.equals(con([False, True, True,\",\n \"1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1,\",\n \"('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)),\",\n \"is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask\",\n \"True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32',\",\n \"test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop =\",\n \"= [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64()\",\n \"you under the Apache License, Version 2.0 (the # \\\"License\\\");\",\n \"= pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr =\",\n \"test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(),\",\n \"# KIND, either express or implied. See the License for\",\n \"arr <= scalar assert result.equals(con([True, True, False, None])) result =\",\n \"result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None],\",\n \"= arr < scalar assert result.equals(con([True, False, False, None])) result\",\n \"empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate()\",\n \"indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2,\",\n \"table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None],\",\n \"= pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ # mask\",\n \"['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate()\",\n \"\\\"array\\\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values])\",\n \"1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1,\",\n \"pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type):\",\n \"pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected\",\n \"agreements. See the NOTICE file # distributed with this work\",\n \"language governing permissions and limitations # under the License. import\",\n \"!= scalar assert result.equals(con([True, False, True, None])) result = arr\",\n \"all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type\",\n \"]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\")\",\n \"licenses this file # to you under the Apache License,\",\n \"limitations # under the License. import numpy as np import\",\n \"== 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type)\",\n \"# mask is array pa.array([True, False, None, False, True]), #\",\n \"in [ arr == arr_chunked, arr_chunked == arr, arr_chunked ==\",\n \"expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask,\",\n \"pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True])\",\n \"type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4,\",\n \"= pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be the\",\n \"by applicable law or agreed to in writing, # software\",\n \"arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4],\",\n \"# Unless required by applicable law or agreed to in\",\n \"arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b',\",\n \"\\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None,\",\n \"'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask\",\n \"numpy as np import pytest import pyarrow as pa import\",\n \"= pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\",\",\n \"False, True]]), # mask is python object [True, False, None,\",\n \"np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)),\",\n \"[9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None,\",\n \"names=[\\\"a\\\"]) for obj in [arr, batch, table]: # non-boolean dtype\",\n \"arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\",\",\n \"'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4,\",\n \"pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices)\",\n \"= pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"])\",\n \"def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert\",\n \"@pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty)\",\n \"IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,\",\n \"numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)])\",\n \"result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])],\",\n \"= pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty\",\n \"result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask\",\n \"License. You may obtain a copy of the License at\",\n \"True, None, None])) result = arr1 > arr2 assert result.equals(con([False,\",\n \"You may obtain a copy of the License at #\",\n \"2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10\",\n \"pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices\",\n \"pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15]) assert\",\n \"('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']),\",\n \"\\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]: # non-boolean\",\n \"test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False,\",\n \"arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices =\",\n \"= arr1 < arr2 assert result.equals(con([False, False, True, None, None]))\",\n \"obj in [arr, batch, table]: # non-boolean dtype mask =\",\n \"('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0,\",\n \"('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64',\",\n \"obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with\",\n \"= pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8])\",\n \"arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a']\",\n \"'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty,\",\n \"all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def\",\n \"<= arr2 assert result.equals(con([True, False, True, None, None])) result =\",\n \"this is a hacky way to construct a scalar ..\",\n \"compliance # with the License. You may obtain a copy\",\n \"\\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask =\",\n \"scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr =\",\n \"4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for\",\n \"= table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null)\",\n \"type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr\",\n \"pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5))\",\n \"type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2,\",\n \"pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask\",\n \"pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty)\",\n \"True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask,\",\n \"<reponame>kylebrandt/arrow # Licensed to the Apache Software Foundation (ASF) under\",\n \"type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2],\",\n \"result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ):\",\n \"= pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in\",\n \"pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3],\",\n \"('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5,\",\n \"arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2,\",\n \"assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr =\",\n \"arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([],\",\n \"all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8',\",\n \"(pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None,\"\n]","isConversational":false}}},{"rowIdx":790,"cells":{"ngram":{"kind":"list like","value":["noqa: E501 header_params = {} form_params = [] local_var_files =","locals() for key, val in six.iteritems(params['kwargs']): if key not in","noqa: E501 # verify the required parameter 'cluster' is set","timestamps: :return: None If the method is called asynchronously, returns","None If the method is called asynchronously, returns the request","'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow'","data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa:","in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in","return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files,","def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501","required parameter 'namespace' is set if ('namespace' not in params","thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result =","E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501","E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501","# noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) #","= {} body_params = None # Authentication setting auth_settings =","in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \"Got","query_params = [] if 'name' in params: query_params.append(('name', params['name'])) #","F401 # python 2 and python 3 compatibility library import","calling `logs_get`\") # noqa: E501 collection_formats = {} path_params =","LogApi(object): \"\"\"NOTE: This class is auto generated by the swagger","required parameter 'cluster' is set if ('cluster' not in params","noqa: E501 # verify the required parameter 'pod_name' is set","body_params = None # Authentication setting auth_settings = ['Bearer'] #","or params['cluster'] is None): raise ValueError(\"Missing the required parameter `cluster`",":param str name: (required) :param str pod_name: (required) :param str","= val del params['kwargs'] # verify the required parameter 'name'","is None): raise ValueError(\"Missing the required parameter `namespace` when calling","None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name,","**kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace,","ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\") # noqa:","not in params or params['cluster'] is None): raise ValueError(\"Missing the","is None: api_client = ApiClient() self.api_client = api_client def logs_get(self,","not in params or params['pod_name'] is None): raise ValueError(\"Missing the","params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params:","in params or params['pod_name'] is None): raise ValueError(\"Missing the required","in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {}","in params or params['namespace'] is None): raise ValueError(\"Missing the required","unexpected keyword argument '%s'\" \" to method logs_get\" % key","# noqa: E501 # verify the required parameter 'pod_name' is","query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace',","thread.get() :param async_req bool :param str name: (required) :param str","not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self,","= thread.get() :param async_req bool :param str name: (required) :param","make an asynchronous HTTP request, please pass async_req=True >>> thread","0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import","all_params: raise TypeError( \"Got an unexpected keyword argument '%s'\" \"","https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is None: api_client","['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time',","E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501","auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET',","is called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] =","= locals() for key, val in six.iteritems(params['kwargs']): if key not","str pretty: :param str previous: :param str since_seconds: :param str",":return: None If the method is called asynchronously, returns the","params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name']))","if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if","params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params:","params['namespace'] is None): raise ValueError(\"Missing the required parameter `namespace` when","'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes'","E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501","Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def","pod_name: (required) :param str namespace: (required) :param str cluster: (required)","calling `logs_get`\") # noqa: E501 # verify the required parameter","the request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster',","manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is","return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): #","in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in","Merlin API Guide for accessing Merlin's model management, deployment, and","noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa:","noqa: E501 This method makes a synchronous HTTP request by","is None): raise ValueError(\"Missing the required parameter `pod_name` when calling","\"\"\"Retrieve log from a container # noqa: E501 This method","called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True","`cluster` when calling `logs_get`\") # noqa: E501 collection_formats = {}","[] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501","# noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) #","2 and python 3 compatibility library import six from client.api_client","namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name,","set if ('namespace' not in params or params['namespace'] is None):","not in all_params: raise TypeError( \"Got an unexpected keyword argument","'namespace' is set if ('namespace' not in params or params['namespace']","HTTP request by default. To make an asynchronous HTTP request,","body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'),","'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] #","Guide for accessing Merlin's model management, deployment, and serving functionalities",") params[key] = val del params['kwargs'] # verify the required","query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty',","str tail_lines: :param str timestamps: :return: None If the method","in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in","del params['kwargs'] # verify the required parameter 'name' is set","serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated","raise ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\") #","`logs_get`\") # noqa: E501 # verify the required parameter 'cluster'","deployment, and serving functionalities # noqa: E501 OpenAPI spec version:","api_client is None: api_client = ApiClient() self.api_client = api_client def","if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params","query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines',","in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in","(data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501","asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name,","str since_seconds: :param str since_time: :param str tail_lines: :param str","python 2 and python 3 compatibility library import six from","noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\"","# verify the required parameter 'cluster' is set if ('cluster'","default. To make an asynchronous HTTP request, please pass async_req=True","E501 collection_formats = {} path_params = {} query_params = []","E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key,","= {} path_params = {} query_params = [] if 'name'","if key not in all_params: raise TypeError( \"Got an unexpected","self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None,","{} path_params = {} query_params = [] if 'name' in","query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster',","`name` when calling `logs_get`\") # noqa: E501 # verify the","'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params","python 3 compatibility library import six from client.api_client import ApiClient","all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val","('pod_name' not in params or params['pod_name'] is None): raise ValueError(\"Missing","namespace: (required) :param str cluster: (required) :param str follow: :param","query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings,","params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params:","called asynchronously, returns the request thread. \"\"\" all_params = ['name',","not in params or params['name'] is None): raise ValueError(\"Missing the","'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty'","compatibility library import six from client.api_client import ApiClient class LogApi(object):","noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs)","set if ('name' not in params or params['name'] is None):","E501 # verify the required parameter 'namespace' is set if","form_params = [] local_var_files = {} body_params = None #","edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None):","api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param","cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name,","argument '%s'\" \" to method logs_get\" % key ) params[key]","verify the required parameter 'pod_name' is set if ('pod_name' not","in params or params['cluster'] is None): raise ValueError(\"Missing the required","__init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client","{} query_params = [] if 'name' in params: query_params.append(('name', params['name']))","for key, val in six.iteritems(params['kwargs']): if key not in all_params:","noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa:","def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501","params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params","log from a container # noqa: E501 This method makes","str cluster: (required) :param str follow: :param str limit_bytes: :param","returns the request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace',","in all_params: raise TypeError( \"Got an unexpected keyword argument '%s'\"","by default. To make an asynchronous HTTP request, please pass",":param str follow: :param str limit_bytes: :param str pretty: :param","logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve","= {} query_params = [] if 'name' in params: query_params.append(('name',","'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines',","is set if ('cluster' not in params or params['cluster'] is","collection_formats = {} path_params = {} query_params = [] if","class is auto generated by the swagger code generator program.","makes a synchronous HTTP request by default. To make an","(required) :param str namespace: (required) :param str cluster: (required) :param","if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if","required parameter 'pod_name' is set if ('pod_name' not in params","the required parameter `namespace` when calling `logs_get`\") # noqa: E501","ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\") # noqa:","in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in","synchronous HTTP request by default. To make an asynchronous HTTP","async_req bool :param str name: (required) :param str pod_name: (required)","path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501","the required parameter `pod_name` when calling `logs_get`\") # noqa: E501","please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster,","# noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) #","# noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster,","in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in","val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError(","logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve","swagger code generator program. Do not edit the class manually.","E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params,","files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True),","str limit_bytes: :param str pretty: :param str previous: :param str","# noqa: E501 This method makes a synchronous HTTP request","a synchronous HTTP request by default. To make an asynchronous","parameter `pod_name` when calling `logs_get`\") # noqa: E501 # verify","\" to method logs_get\" % key ) params[key] = val","parameter `namespace` when calling `logs_get`\") # noqa: E501 # verify","Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re","# noqa: E501 header_params = {} form_params = [] local_var_files","None # Authentication setting auth_settings = ['Bearer'] # noqa: E501","= ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params,","request by default. To make an asynchronous HTTP request, please","'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines'","in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in","# noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git","# noqa: E501 collection_formats = {} path_params = {} query_params","accessing Merlin's model management, deployment, and serving functionalities # noqa:","if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if","__future__ import absolute_import import re # noqa: F401 # python","ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster,","and python 3 compatibility library import six from client.api_client import","raise TypeError( \"Got an unexpected keyword argument '%s'\" \" to","'cluster' is set if ('cluster' not in params or params['cluster']","'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace'","'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds'","ValueError(\"Missing the required parameter `name` when calling `logs_get`\") # noqa:","required parameter `cluster` when calling `logs_get`\") # noqa: E501 collection_formats","to method logs_get\" % key ) params[key] = val del","previous: :param str since_seconds: :param str since_time: :param str tail_lines:","# noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals()","parameter `name` when calling `logs_get`\") # noqa: E501 # verify","required parameter `pod_name` when calling `logs_get`\") # noqa: E501 #","'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params =","E501 # verify the required parameter 'cluster' is set if","Merlin's model management, deployment, and serving functionalities # noqa: E501","is called asynchronously, returns the request thread. \"\"\" all_params =","noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa:",":param str since_time: :param str tail_lines: :param str timestamps: :return:","E501 header_params = {} form_params = [] local_var_files = {}","parameter `cluster` when calling `logs_get`\") # noqa: E501 collection_formats =","spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import","params or params['pod_name'] is None): raise ValueError(\"Missing the required parameter","request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow',","async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>>","parameter 'name' is set if ('name' not in params or","query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes',","if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if","params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow']))","since_time: :param str tail_lines: :param str timestamps: :return: None If","management, deployment, and serving functionalities # noqa: E501 OpenAPI spec","parameter 'cluster' is set if ('cluster' not in params or","This method makes a synchronous HTTP request by default. To","kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501","auto generated by the swagger code generator program. Do not","'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster'","all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous',","{} body_params = None # Authentication setting auth_settings = ['Bearer']","noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa:","# noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) #","E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501","# noqa: E501 # verify the required parameter 'namespace' is","is set if ('namespace' not in params or params['namespace'] is","from __future__ import absolute_import import re # noqa: F401 #","the required parameter `cluster` when calling `logs_get`\") # noqa: E501","str pod_name: (required) :param str namespace: (required) :param str cluster:","# verify the required parameter 'name' is set if ('name'","'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous'","= api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get()","if api_client is None: api_client = ApiClient() self.api_client = api_client","is None): raise ValueError(\"Missing the required parameter `cluster` when calling","= self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return","E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501","required parameter 'name' is set if ('name' not in params","verify the required parameter 'namespace' is set if ('namespace' not","the required parameter 'cluster' is set if ('cluster' not in",":param str pretty: :param str previous: :param str since_seconds: :param","thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes',","or params['name'] is None): raise ValueError(\"Missing the required parameter `name`","None): raise ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\")","if ('cluster' not in params or params['cluster'] is None): raise","# coding: utf-8 \"\"\" Merlin API Guide for accessing Merlin's","import six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This","E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from","pretty: :param str previous: :param str since_seconds: :param str since_time:","str previous: :param str since_seconds: :param str since_time: :param str","'pod_name' is set if ('pod_name' not in params or params['pod_name']","# noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) #","cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from a container","E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs):","asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True if","\"\"\" def __init__(self, api_client=None): if api_client is None: api_client =","return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else:","# noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) #","query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous',","re # noqa: F401 # python 2 and python 3","To make an asynchronous HTTP request, please pass async_req=True >>>","Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is None:","ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\") # noqa:","'name' is set if ('name' not in params or params['name']","Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api(","verify the required parameter 'name' is set if ('name' not","request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace,","E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501","version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import","keyword argument '%s'\" \" to method logs_get\" % key )","# noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace,","logs_get\" % key ) params[key] = val del params['kwargs'] #","'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa:","asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name,","method is called asynchronously, returns the request thread. \"\"\" all_params","(required) :param str follow: :param str limit_bytes: :param str pretty:","`logs_get`\") # noqa: E501 # verify the required parameter 'namespace'","required parameter `namespace` when calling `logs_get`\") # noqa: E501 #","[] local_var_files = {} body_params = None # Authentication setting","self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data)","if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if","header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'),","params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params:","library import six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE:","= api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): #","params or params['cluster'] is None): raise ValueError(\"Missing the required parameter","noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa:","params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds']))","api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name,","noqa: E501 collection_formats = {} path_params = {} query_params =",":param str namespace: (required) :param str cluster: (required) :param str",":param async_req bool :param str name: (required) :param str pod_name:","\"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty',","'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name'","noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa:","noqa: F401 # python 2 and python 3 compatibility library","self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data","key ) params[key] = val del params['kwargs'] # verify the","when calling `logs_get`\") # noqa: E501 # verify the required","raise ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\") #","params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params:","response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'),","\"\"\" from __future__ import absolute_import import re # noqa: F401","an unexpected keyword argument '%s'\" \" to method logs_get\" %","request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace,","absolute_import import re # noqa: F401 # python 2 and","'/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, #","None): raise ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\")","params['name'] is None): raise ValueError(\"Missing the required parameter `name` when","coding: utf-8 \"\"\" Merlin API Guide for accessing Merlin's model",":param str pod_name: (required) :param str namespace: (required) :param str","class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client","params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params:","'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time'","'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps']","method makes a synchronous HTTP request by default. To make","HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name,","noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa:","thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name,","str namespace: (required) :param str cluster: (required) :param str follow:","all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in","# python 2 and python 3 compatibility library import six","'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req')","https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re # noqa:","noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa:","% key ) params[key] = val del params['kwargs'] # verify","key not in all_params: raise TypeError( \"Got an unexpected keyword","**kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name,","str name: (required) :param str pod_name: (required) :param str namespace:","tail_lines: :param str timestamps: :return: None If the method is","noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params,","all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']):","when calling `logs_get`\") # noqa: E501 collection_formats = {} path_params","the required parameter `name` when calling `logs_get`\") # noqa: E501","raise ValueError(\"Missing the required parameter `name` when calling `logs_get`\") #","= True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs)","('cluster' not in params or params['cluster'] is None): raise ValueError(\"Missing","\"Got an unexpected keyword argument '%s'\" \" to method logs_get\"","(required) :param str pod_name: (required) :param str namespace: (required) :param","# noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) #","by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re #","params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps']))","pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True)","path_params = {} query_params = [] if 'name' in params:","\"\"\"NOTE: This class is auto generated by the swagger code","the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if","3 compatibility library import six from client.api_client import ApiClient class","ApiClient class LogApi(object): \"\"\"NOTE: This class is auto generated by","namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self,","query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow',","api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param","# noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params,","class LogApi(object): \"\"\"NOTE: This class is auto generated by the","# noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) #","in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in","query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params =","follow: :param str limit_bytes: :param str pretty: :param str previous:","params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params:","if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if","# noqa: E501 \"\"\"Retrieve log from a container # noqa:","functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by:","verify the required parameter 'cluster' is set if ('cluster' not","params or params['name'] is None): raise ValueError(\"Missing the required parameter","namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool","async_req=True) >>> result = thread.get() :param async_req bool :param str","or params['namespace'] is None): raise ValueError(\"Missing the required parameter `namespace`","# noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)",":param str timestamps: :return: None If the method is called","all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if","= [] if 'name' in params: query_params.append(('name', params['name'])) # noqa:","params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace']))","if ('namespace' not in params or params['namespace'] is None): raise",":param str limit_bytes: :param str pretty: :param str previous: :param","E501 \"\"\"Retrieve log from a container # noqa: E501 This","if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if","True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) #","None): raise ValueError(\"Missing the required parameter `name` when calling `logs_get`\")","in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in","returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'):","\"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace,","if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if","params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous']))","api_client=None): if api_client is None: api_client = ApiClient() self.api_client =","HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name,","six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \"Got an","params['timestamps'])) # noqa: E501 header_params = {} form_params = []","is auto generated by the swagger code generator program. Do","or params['pod_name'] is None): raise ValueError(\"Missing the required parameter `pod_name`","utf-8 \"\"\" Merlin API Guide for accessing Merlin's model management,","# noqa: E501 # verify the required parameter 'cluster' is","model management, deployment, and serving functionalities # noqa: E501 OpenAPI","noqa: E501 # verify the required parameter 'namespace' is set","from a container # noqa: E501 This method makes a","not in params or params['namespace'] is None): raise ValueError(\"Missing the",":param str cluster: (required) :param str follow: :param str limit_bytes:","parameter 'namespace' is set if ('namespace' not in params or","name: (required) :param str pod_name: (required) :param str namespace: (required)","pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True)","self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs):","= None # Authentication setting auth_settings = ['Bearer'] # noqa:","# verify the required parameter 'namespace' is set if ('namespace'","('name' not in params or params['name'] is None): raise ValueError(\"Missing","params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params:","'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only')",":param str tail_lines: :param str timestamps: :return: None If the","params['kwargs'] # verify the required parameter 'name' is set if","None): raise ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\")","= ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace,","namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from a","if ('name' not in params or params['name'] is None): raise","is set if ('name' not in params or params['name'] is","cluster: (required) :param str follow: :param str limit_bytes: :param str","params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params:","api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa:",">>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result","in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in","params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params:","six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class","params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines']))","['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params,","the required parameter 'name' is set if ('name' not in","If the method is called asynchronously, returns the request thread.","API Guide for accessing Merlin's model management, deployment, and serving","'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout')","an asynchronous HTTP request, please pass async_req=True >>> thread =","set if ('cluster' not in params or params['cluster'] is None):",">>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result","OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__","# noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) #","pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def","'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501","params = locals() for key, val in six.iteritems(params['kwargs']): if key","('namespace' not in params or params['namespace'] is None): raise ValueError(\"Missing","'%s'\" \" to method logs_get\" % key ) params[key] =","generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen","is set if ('pod_name' not in params or params['pod_name'] is","E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501","a container # noqa: E501 This method makes a synchronous","local_var_files = {} body_params = None # Authentication setting auth_settings","**kwargs): # noqa: E501 \"\"\"Retrieve log from a container #","`namespace` when calling `logs_get`\") # noqa: E501 # verify the","str since_time: :param str tail_lines: :param str timestamps: :return: None","import re # noqa: F401 # python 2 and python","TypeError( \"Got an unexpected keyword argument '%s'\" \" to method","# Authentication setting auth_settings = ['Bearer'] # noqa: E501 return","= {} form_params = [] local_var_files = {} body_params =","key, val in six.iteritems(params['kwargs']): if key not in all_params: raise",":param str previous: :param str since_seconds: :param str since_time: :param","bool :param str name: (required) :param str pod_name: (required) :param","E501 # verify the required parameter 'pod_name' is set if","query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps',","# noqa: F401 # python 2 and python 3 compatibility","setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs',","parameter 'pod_name' is set if ('pod_name' not in params or","= ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds',","# noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) #","params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster']))","if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if","(required) :param str cluster: (required) :param str follow: :param str","raise ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\") #","`logs_get`\") # noqa: E501 collection_formats = {} path_params = {}","E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501","is None): raise ValueError(\"Missing the required parameter `name` when calling","async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>>","`logs_get`\") # noqa: E501 # verify the required parameter 'pod_name'","'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content')","the swagger code generator program. Do not edit the class","cluster, async_req=True) >>> result = thread.get() :param async_req bool :param","result = thread.get() :param async_req bool :param str name: (required)","if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if","params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes']))","noqa: E501 \"\"\"Retrieve log from a container # noqa: E501","= api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get()","import absolute_import import re # noqa: F401 # python 2","header_params = {} form_params = [] local_var_files = {} body_params","request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name,","the method is called asynchronously, returns the request thread. \"\"\"","# verify the required parameter 'pod_name' is set if ('pod_name'","def __init__(self, api_client=None): if api_client is None: api_client = ApiClient()","noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa:","the required parameter 'namespace' is set if ('namespace' not in","in params or params['name'] is None): raise ValueError(\"Missing the required","This class is auto generated by the swagger code generator","generated by the swagger code generator program. Do not edit","str follow: :param str limit_bytes: :param str pretty: :param str","val del params['kwargs'] # verify the required parameter 'name' is","program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\"","the request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return","`pod_name` when calling `logs_get`\") # noqa: E501 # verify the","noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa:","by the swagger code generator program. Do not edit the","noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster,","noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for",":param str since_seconds: :param str since_time: :param str tail_lines: :param","if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if","limit_bytes: :param str pretty: :param str previous: :param str since_seconds:","params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params:","pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req","# noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) #","params[key] = val del params['kwargs'] # verify the required parameter","params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty']))","code generator program. Do not edit the class manually. Ref:","pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) =","please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster,","since_seconds: :param str since_time: :param str tail_lines: :param str timestamps:","pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from",">>> result = thread.get() :param async_req bool :param str name:","post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content',","asynchronously, returns the request thread. \"\"\" all_params = ['name', 'pod_name',","and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0","cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name,","E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) #","client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class is auto","in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in","\"\"\" Merlin API Guide for accessing Merlin's model management, deployment,","container # noqa: E501 This method makes a synchronous HTTP","import ApiClient class LogApi(object): \"\"\"NOTE: This class is auto generated","params or params['namespace'] is None): raise ValueError(\"Missing the required parameter","set if ('pod_name' not in params or params['pod_name'] is None):","for accessing Merlin's model management, deployment, and serving functionalities #","'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa:","from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class is","method is called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only']","query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds',","kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster,","= [] local_var_files = {} body_params = None # Authentication","'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params =","params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time']))","name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log","query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name',","params['pod_name'] is None): raise ValueError(\"Missing the required parameter `pod_name` when","'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps'","E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501","required parameter `name` when calling `logs_get`\") # noqa: E501 #","{} form_params = [] local_var_files = {} body_params = None","str timestamps: :return: None If the method is called asynchronously,","else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa:","thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result =","query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time',","method logs_get\" % key ) params[key] = val del params['kwargs']","params['cluster'] is None): raise ValueError(\"Missing the required parameter `cluster` when","E501 This method makes a synchronous HTTP request by default.","noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa:","the required parameter 'pod_name' is set if ('pod_name' not in","if ('pod_name' not in params or params['pod_name'] is None): raise","E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501","if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa:"],"string":"[\n \"noqa: E501 header_params = {} form_params = [] local_var_files =\",\n \"locals() for key, val in six.iteritems(params['kwargs']): if key not in\",\n \"noqa: E501 # verify the required parameter 'cluster' is set\",\n \"timestamps: :return: None If the method is called asynchronously, returns\",\n \"None If the method is called asynchronously, returns the request\",\n \"'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow'\",\n \"data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa:\",\n \"in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in\",\n \"return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files,\",\n \"def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501\",\n \"required parameter 'namespace' is set if ('namespace' not in params\",\n \"thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result =\",\n \"E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501\",\n \"E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501\",\n \"# noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) #\",\n \"= {} body_params = None # Authentication setting auth_settings =\",\n \"in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \\\"Got\",\n \"query_params = [] if 'name' in params: query_params.append(('name', params['name'])) #\",\n \"F401 # python 2 and python 3 compatibility library import\",\n \"calling `logs_get`\\\") # noqa: E501 collection_formats = {} path_params =\",\n \"LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by the swagger\",\n \"required parameter 'cluster' is set if ('cluster' not in params\",\n \"noqa: E501 # verify the required parameter 'pod_name' is set\",\n \"body_params = None # Authentication setting auth_settings = ['Bearer'] #\",\n \"or params['cluster'] is None): raise ValueError(\\\"Missing the required parameter `cluster`\",\n \":param str name: (required) :param str pod_name: (required) :param str\",\n \"= val del params['kwargs'] # verify the required parameter 'name'\",\n \"is None): raise ValueError(\\\"Missing the required parameter `namespace` when calling\",\n \"None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name,\",\n \"**kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace,\",\n \"ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\") # noqa:\",\n \"not in params or params['cluster'] is None): raise ValueError(\\\"Missing the\",\n \"is None: api_client = ApiClient() self.api_client = api_client def logs_get(self,\",\n \"not in params or params['pod_name'] is None): raise ValueError(\\\"Missing the\",\n \"params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params:\",\n \"in params or params['pod_name'] is None): raise ValueError(\\\"Missing the required\",\n \"in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {}\",\n \"in params or params['namespace'] is None): raise ValueError(\\\"Missing the required\",\n \"unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\" % key\",\n \"# noqa: E501 # verify the required parameter 'pod_name' is\",\n \"query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace',\",\n \"thread.get() :param async_req bool :param str name: (required) :param str\",\n \"not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self,\",\n \"= thread.get() :param async_req bool :param str name: (required) :param\",\n \"make an asynchronous HTTP request, please pass async_req=True >>> thread\",\n \"0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import\",\n \"all_params: raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\"\",\n \"https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None: api_client\",\n \"['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time',\",\n \"E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501\",\n \"auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET',\",\n \"is called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] =\",\n \"= locals() for key, val in six.iteritems(params['kwargs']): if key not\",\n \"str pretty: :param str previous: :param str since_seconds: :param str\",\n \":return: None If the method is called asynchronously, returns the\",\n \"params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name']))\",\n \"if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if\",\n \"params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params:\",\n \"params['namespace'] is None): raise ValueError(\\\"Missing the required parameter `namespace` when\",\n \"'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes'\",\n \"E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501\",\n \"Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def\",\n \"pod_name: (required) :param str namespace: (required) :param str cluster: (required)\",\n \"calling `logs_get`\\\") # noqa: E501 # verify the required parameter\",\n \"the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster',\",\n \"manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is\",\n \"return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): #\",\n \"in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in\",\n \"Merlin API Guide for accessing Merlin's model management, deployment, and\",\n \"noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa:\",\n \"noqa: E501 This method makes a synchronous HTTP request by\",\n \"is None): raise ValueError(\\\"Missing the required parameter `pod_name` when calling\",\n \"\\\"\\\"\\\"Retrieve log from a container # noqa: E501 This method\",\n \"called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True\",\n \"`cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats = {}\",\n \"[] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501\",\n \"# noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) #\",\n \"2 and python 3 compatibility library import six from client.api_client\",\n \"namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name,\",\n \"set if ('namespace' not in params or params['namespace'] is None):\",\n \"not in all_params: raise TypeError( \\\"Got an unexpected keyword argument\",\n \"'namespace' is set if ('namespace' not in params or params['namespace']\",\n \"HTTP request by default. To make an asynchronous HTTP request,\",\n \"body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'),\",\n \"'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] #\",\n \"Guide for accessing Merlin's model management, deployment, and serving functionalities\",\n \") params[key] = val del params['kwargs'] # verify the required\",\n \"query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty',\",\n \"str tail_lines: :param str timestamps: :return: None If the method\",\n \"in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in\",\n \"del params['kwargs'] # verify the required parameter 'name' is set\",\n \"serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated\",\n \"raise ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\") #\",\n \"`logs_get`\\\") # noqa: E501 # verify the required parameter 'cluster'\",\n \"deployment, and serving functionalities # noqa: E501 OpenAPI spec version:\",\n \"api_client is None: api_client = ApiClient() self.api_client = api_client def\",\n \"if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params\",\n \"query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines',\",\n \"in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in\",\n \"(data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501\",\n \"asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name,\",\n \"str since_seconds: :param str since_time: :param str tail_lines: :param str\",\n \"python 2 and python 3 compatibility library import six from\",\n \"noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\"\",\n \"# verify the required parameter 'cluster' is set if ('cluster'\",\n \"default. To make an asynchronous HTTP request, please pass async_req=True\",\n \"E501 collection_formats = {} path_params = {} query_params = []\",\n \"E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key,\",\n \"= {} path_params = {} query_params = [] if 'name'\",\n \"if key not in all_params: raise TypeError( \\\"Got an unexpected\",\n \"self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None,\",\n \"{} path_params = {} query_params = [] if 'name' in\",\n \"query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster',\",\n \"`name` when calling `logs_get`\\\") # noqa: E501 # verify the\",\n \"'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params\",\n \"python 3 compatibility library import six from client.api_client import ApiClient\",\n \"all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val\",\n \"('pod_name' not in params or params['pod_name'] is None): raise ValueError(\\\"Missing\",\n \"namespace: (required) :param str cluster: (required) :param str follow: :param\",\n \"query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings,\",\n \"params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params:\",\n \"called asynchronously, returns the request thread. \\\"\\\"\\\" all_params = ['name',\",\n \"not in params or params['name'] is None): raise ValueError(\\\"Missing the\",\n \"'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty'\",\n \"compatibility library import six from client.api_client import ApiClient class LogApi(object):\",\n \"noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs)\",\n \"set if ('name' not in params or params['name'] is None):\",\n \"E501 # verify the required parameter 'namespace' is set if\",\n \"form_params = [] local_var_files = {} body_params = None #\",\n \"edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None):\",\n \"api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param\",\n \"cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name,\",\n \"argument '%s'\\\" \\\" to method logs_get\\\" % key ) params[key]\",\n \"verify the required parameter 'pod_name' is set if ('pod_name' not\",\n \"in params or params['cluster'] is None): raise ValueError(\\\"Missing the required\",\n \"__init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client\",\n \"{} query_params = [] if 'name' in params: query_params.append(('name', params['name']))\",\n \"for key, val in six.iteritems(params['kwargs']): if key not in all_params:\",\n \"noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa:\",\n \"def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501\",\n \"params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params\",\n \"log from a container # noqa: E501 This method makes\",\n \"str cluster: (required) :param str follow: :param str limit_bytes: :param\",\n \"returns the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace',\",\n \"in all_params: raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\"\",\n \"by default. To make an asynchronous HTTP request, please pass\",\n \":param str follow: :param str limit_bytes: :param str pretty: :param\",\n \"logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve\",\n \"= {} query_params = [] if 'name' in params: query_params.append(('name',\",\n \"'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines',\",\n \"is set if ('cluster' not in params or params['cluster'] is\",\n \"collection_formats = {} path_params = {} query_params = [] if\",\n \"class is auto generated by the swagger code generator program.\",\n \"makes a synchronous HTTP request by default. To make an\",\n \"(required) :param str namespace: (required) :param str cluster: (required) :param\",\n \"if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if\",\n \"required parameter 'pod_name' is set if ('pod_name' not in params\",\n \"the required parameter `namespace` when calling `logs_get`\\\") # noqa: E501\",\n \"ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\") # noqa:\",\n \"in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in\",\n \"synchronous HTTP request by default. To make an asynchronous HTTP\",\n \"async_req bool :param str name: (required) :param str pod_name: (required)\",\n \"path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501\",\n \"the required parameter `pod_name` when calling `logs_get`\\\") # noqa: E501\",\n \"please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster,\",\n \"# noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) #\",\n \"# noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster,\",\n \"in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in\",\n \"val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError(\",\n \"logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve\",\n \"swagger code generator program. Do not edit the class manually.\",\n \"E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params,\",\n \"files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True),\",\n \"str limit_bytes: :param str pretty: :param str previous: :param str\",\n \"# noqa: E501 This method makes a synchronous HTTP request\",\n \"a synchronous HTTP request by default. To make an asynchronous\",\n \"parameter `pod_name` when calling `logs_get`\\\") # noqa: E501 # verify\",\n \"\\\" to method logs_get\\\" % key ) params[key] = val\",\n \"parameter `namespace` when calling `logs_get`\\\") # noqa: E501 # verify\",\n \"Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re\",\n \"# noqa: E501 header_params = {} form_params = [] local_var_files\",\n \"None # Authentication setting auth_settings = ['Bearer'] # noqa: E501\",\n \"= ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params,\",\n \"request by default. To make an asynchronous HTTP request, please\",\n \"'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines'\",\n \"in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in\",\n \"# noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git\",\n \"# noqa: E501 collection_formats = {} path_params = {} query_params\",\n \"accessing Merlin's model management, deployment, and serving functionalities # noqa:\",\n \"if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if\",\n \"__future__ import absolute_import import re # noqa: F401 # python\",\n \"ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster,\",\n \"and python 3 compatibility library import six from client.api_client import\",\n \"raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\" to\",\n \"'cluster' is set if ('cluster' not in params or params['cluster']\",\n \"'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace'\",\n \"'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds'\",\n \"ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\") # noqa:\",\n \"required parameter `cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats\",\n \"to method logs_get\\\" % key ) params[key] = val del\",\n \"previous: :param str since_seconds: :param str since_time: :param str tail_lines:\",\n \"# noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals()\",\n \"parameter `name` when calling `logs_get`\\\") # noqa: E501 # verify\",\n \"required parameter `pod_name` when calling `logs_get`\\\") # noqa: E501 #\",\n \"'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params =\",\n \"E501 # verify the required parameter 'cluster' is set if\",\n \"Merlin's model management, deployment, and serving functionalities # noqa: E501\",\n \"is called asynchronously, returns the request thread. \\\"\\\"\\\" all_params =\",\n \"noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa:\",\n \":param str since_time: :param str tail_lines: :param str timestamps: :return:\",\n \"E501 header_params = {} form_params = [] local_var_files = {}\",\n \"parameter `cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats =\",\n \"spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import\",\n \"params or params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter\",\n \"request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow',\",\n \"async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>>\",\n \"parameter 'name' is set if ('name' not in params or\",\n \"query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes',\",\n \"if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if\",\n \"params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow']))\",\n \"since_time: :param str tail_lines: :param str timestamps: :return: None If\",\n \"management, deployment, and serving functionalities # noqa: E501 OpenAPI spec\",\n \"parameter 'cluster' is set if ('cluster' not in params or\",\n \"This method makes a synchronous HTTP request by default. To\",\n \"kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501\",\n \"auto generated by the swagger code generator program. Do not\",\n \"'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster'\",\n \"all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous',\",\n \"{} body_params = None # Authentication setting auth_settings = ['Bearer']\",\n \"noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa:\",\n \"# noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) #\",\n \"E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501\",\n \"# noqa: E501 # verify the required parameter 'namespace' is\",\n \"is set if ('namespace' not in params or params['namespace'] is\",\n \"from __future__ import absolute_import import re # noqa: F401 #\",\n \"the required parameter `cluster` when calling `logs_get`\\\") # noqa: E501\",\n \"str pod_name: (required) :param str namespace: (required) :param str cluster:\",\n \"# verify the required parameter 'name' is set if ('name'\",\n \"'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous'\",\n \"= api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get()\",\n \"if api_client is None: api_client = ApiClient() self.api_client = api_client\",\n \"is None): raise ValueError(\\\"Missing the required parameter `cluster` when calling\",\n \"= self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return\",\n \"E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501\",\n \"required parameter 'name' is set if ('name' not in params\",\n \"verify the required parameter 'namespace' is set if ('namespace' not\",\n \"the required parameter 'cluster' is set if ('cluster' not in\",\n \":param str pretty: :param str previous: :param str since_seconds: :param\",\n \"thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes',\",\n \"or params['name'] is None): raise ValueError(\\\"Missing the required parameter `name`\",\n \"None): raise ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\")\",\n \"if ('cluster' not in params or params['cluster'] is None): raise\",\n \"# coding: utf-8 \\\"\\\"\\\" Merlin API Guide for accessing Merlin's\",\n \"import six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This\",\n \"E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from\",\n \"pretty: :param str previous: :param str since_seconds: :param str since_time:\",\n \"str previous: :param str since_seconds: :param str since_time: :param str\",\n \"'pod_name' is set if ('pod_name' not in params or params['pod_name']\",\n \"# noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) #\",\n \"cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a container\",\n \"E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs):\",\n \"asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if\",\n \"\\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None: api_client =\",\n \"return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else:\",\n \"# noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) #\",\n \"query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous',\",\n \"re # noqa: F401 # python 2 and python 3\",\n \"To make an asynchronous HTTP request, please pass async_req=True >>>\",\n \"Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None:\",\n \"ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\") # noqa:\",\n \"'name' is set if ('name' not in params or params['name']\",\n \"Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api(\",\n \"verify the required parameter 'name' is set if ('name' not\",\n \"request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace,\",\n \"E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501\",\n \"version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import\",\n \"keyword argument '%s'\\\" \\\" to method logs_get\\\" % key )\",\n \"# noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace,\",\n \"logs_get\\\" % key ) params[key] = val del params['kwargs'] #\",\n \"'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa:\",\n \"asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name,\",\n \"method is called asynchronously, returns the request thread. \\\"\\\"\\\" all_params\",\n \"(required) :param str follow: :param str limit_bytes: :param str pretty:\",\n \"`logs_get`\\\") # noqa: E501 # verify the required parameter 'namespace'\",\n \"required parameter `namespace` when calling `logs_get`\\\") # noqa: E501 #\",\n \"[] local_var_files = {} body_params = None # Authentication setting\",\n \"self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data)\",\n \"if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if\",\n \"header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'),\",\n \"params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params:\",\n \"library import six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE:\",\n \"= api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): #\",\n \"params or params['cluster'] is None): raise ValueError(\\\"Missing the required parameter\",\n \"noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa:\",\n \"params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds']))\",\n \"api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name,\",\n \"noqa: E501 collection_formats = {} path_params = {} query_params =\",\n \":param str namespace: (required) :param str cluster: (required) :param str\",\n \":param async_req bool :param str name: (required) :param str pod_name:\",\n \"\\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty',\",\n \"'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name'\",\n \"noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa:\",\n \"noqa: F401 # python 2 and python 3 compatibility library\",\n \"self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data\",\n \"key ) params[key] = val del params['kwargs'] # verify the\",\n \"when calling `logs_get`\\\") # noqa: E501 # verify the required\",\n \"raise ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\") #\",\n \"params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params:\",\n \"response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'),\",\n \"\\\"\\\"\\\" from __future__ import absolute_import import re # noqa: F401\",\n \"an unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\" %\",\n \"request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace,\",\n \"absolute_import import re # noqa: F401 # python 2 and\",\n \"'/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, #\",\n \"None): raise ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\")\",\n \"params['name'] is None): raise ValueError(\\\"Missing the required parameter `name` when\",\n \"coding: utf-8 \\\"\\\"\\\" Merlin API Guide for accessing Merlin's model\",\n \":param str pod_name: (required) :param str namespace: (required) :param str\",\n \"class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client\",\n \"params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params:\",\n \"'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time'\",\n \"'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps']\",\n \"method makes a synchronous HTTP request by default. To make\",\n \"HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name,\",\n \"noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa:\",\n \"thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name,\",\n \"str namespace: (required) :param str cluster: (required) :param str follow:\",\n \"all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in\",\n \"# python 2 and python 3 compatibility library import six\",\n \"'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req')\",\n \"https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re # noqa:\",\n \"noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa:\",\n \"% key ) params[key] = val del params['kwargs'] # verify\",\n \"key not in all_params: raise TypeError( \\\"Got an unexpected keyword\",\n \"**kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name,\",\n \"str name: (required) :param str pod_name: (required) :param str namespace:\",\n \"tail_lines: :param str timestamps: :return: None If the method is\",\n \"noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params,\",\n \"all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']):\",\n \"when calling `logs_get`\\\") # noqa: E501 collection_formats = {} path_params\",\n \"the required parameter `name` when calling `logs_get`\\\") # noqa: E501\",\n \"raise ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\") #\",\n \"= True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs)\",\n \"('cluster' not in params or params['cluster'] is None): raise ValueError(\\\"Missing\",\n \"\\\"Got an unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\"\",\n \"(required) :param str pod_name: (required) :param str namespace: (required) :param\",\n \"# noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) #\",\n \"by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re #\",\n \"params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps']))\",\n \"pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True)\",\n \"path_params = {} query_params = [] if 'name' in params:\",\n \"\\\"\\\"\\\"NOTE: This class is auto generated by the swagger code\",\n \"the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if\",\n \"3 compatibility library import six from client.api_client import ApiClient class\",\n \"ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by\",\n \"namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self,\",\n \"query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow',\",\n \"api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param\",\n \"# noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params,\",\n \"class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by the\",\n \"# noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) #\",\n \"in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in\",\n \"query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params =\",\n \"follow: :param str limit_bytes: :param str pretty: :param str previous:\",\n \"params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params:\",\n \"if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if\",\n \"# noqa: E501 \\\"\\\"\\\"Retrieve log from a container # noqa:\",\n \"functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by:\",\n \"verify the required parameter 'cluster' is set if ('cluster' not\",\n \"params or params['name'] is None): raise ValueError(\\\"Missing the required parameter\",\n \"namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool\",\n \"async_req=True) >>> result = thread.get() :param async_req bool :param str\",\n \"or params['namespace'] is None): raise ValueError(\\\"Missing the required parameter `namespace`\",\n \"# noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)\",\n \":param str timestamps: :return: None If the method is called\",\n \"all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if\",\n \"= [] if 'name' in params: query_params.append(('name', params['name'])) # noqa:\",\n \"params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace']))\",\n \"if ('namespace' not in params or params['namespace'] is None): raise\",\n \":param str limit_bytes: :param str pretty: :param str previous: :param\",\n \"E501 \\\"\\\"\\\"Retrieve log from a container # noqa: E501 This\",\n \"if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if\",\n \"True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) #\",\n \"None): raise ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\")\",\n \"in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in\",\n \"returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'):\",\n \"\\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace,\",\n \"if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if\",\n \"params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous']))\",\n \"api_client=None): if api_client is None: api_client = ApiClient() self.api_client =\",\n \"HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name,\",\n \"six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \\\"Got an\",\n \"params['timestamps'])) # noqa: E501 header_params = {} form_params = []\",\n \"is auto generated by the swagger code generator program. Do\",\n \"or params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter `pod_name`\",\n \"utf-8 \\\"\\\"\\\" Merlin API Guide for accessing Merlin's model management,\",\n \"# noqa: E501 # verify the required parameter 'cluster' is\",\n \"model management, deployment, and serving functionalities # noqa: E501 OpenAPI\",\n \"noqa: E501 # verify the required parameter 'namespace' is set\",\n \"from a container # noqa: E501 This method makes a\",\n \"not in params or params['namespace'] is None): raise ValueError(\\\"Missing the\",\n \":param str cluster: (required) :param str follow: :param str limit_bytes:\",\n \"parameter 'namespace' is set if ('namespace' not in params or\",\n \"name: (required) :param str pod_name: (required) :param str namespace: (required)\",\n \"pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True)\",\n \"self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs):\",\n \"= None # Authentication setting auth_settings = ['Bearer'] # noqa:\",\n \"# verify the required parameter 'namespace' is set if ('namespace'\",\n \"('name' not in params or params['name'] is None): raise ValueError(\\\"Missing\",\n \"params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params:\",\n \"'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only')\",\n \":param str tail_lines: :param str timestamps: :return: None If the\",\n \"params['kwargs'] # verify the required parameter 'name' is set if\",\n \"None): raise ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\")\",\n \"= ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace,\",\n \"namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a\",\n \"if ('name' not in params or params['name'] is None): raise\",\n \"is set if ('name' not in params or params['name'] is\",\n \"cluster: (required) :param str follow: :param str limit_bytes: :param str\",\n \"params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params:\",\n \"api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa:\",\n \">>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result\",\n \"in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in\",\n \"params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params:\",\n \"six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class\",\n \"params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines']))\",\n \"['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params,\",\n \"the required parameter 'name' is set if ('name' not in\",\n \"If the method is called asynchronously, returns the request thread.\",\n \"API Guide for accessing Merlin's model management, deployment, and serving\",\n \"'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout')\",\n \"an asynchronous HTTP request, please pass async_req=True >>> thread =\",\n \"set if ('cluster' not in params or params['cluster'] is None):\",\n \">>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result\",\n \"OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__\",\n \"# noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) #\",\n \"pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def\",\n \"'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501\",\n \"params = locals() for key, val in six.iteritems(params['kwargs']): if key\",\n \"('namespace' not in params or params['namespace'] is None): raise ValueError(\\\"Missing\",\n \"'%s'\\\" \\\" to method logs_get\\\" % key ) params[key] =\",\n \"generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen\",\n \"is set if ('pod_name' not in params or params['pod_name'] is\",\n \"E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501\",\n \"a container # noqa: E501 This method makes a synchronous\",\n \"local_var_files = {} body_params = None # Authentication setting auth_settings\",\n \"**kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a container #\",\n \"`namespace` when calling `logs_get`\\\") # noqa: E501 # verify the\",\n \"str since_time: :param str tail_lines: :param str timestamps: :return: None\",\n \"import re # noqa: F401 # python 2 and python\",\n \"TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\" to method\",\n \"# Authentication setting auth_settings = ['Bearer'] # noqa: E501 return\",\n \"= {} form_params = [] local_var_files = {} body_params =\",\n \"key, val in six.iteritems(params['kwargs']): if key not in all_params: raise\",\n \":param str previous: :param str since_seconds: :param str since_time: :param\",\n \"bool :param str name: (required) :param str pod_name: (required) :param\",\n \"E501 # verify the required parameter 'pod_name' is set if\",\n \"query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps',\",\n \"# noqa: F401 # python 2 and python 3 compatibility\",\n \"setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs',\",\n \"parameter 'pod_name' is set if ('pod_name' not in params or\",\n \"= ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds',\",\n \"# noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) #\",\n \"params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster']))\",\n \"if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if\",\n \"(required) :param str cluster: (required) :param str follow: :param str\",\n \"raise ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\") #\",\n \"`logs_get`\\\") # noqa: E501 collection_formats = {} path_params = {}\",\n \"E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501\",\n \"is None): raise ValueError(\\\"Missing the required parameter `name` when calling\",\n \"async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>>\",\n \"`logs_get`\\\") # noqa: E501 # verify the required parameter 'pod_name'\",\n \"'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content')\",\n \"the swagger code generator program. Do not edit the class\",\n \"cluster, async_req=True) >>> result = thread.get() :param async_req bool :param\",\n \"result = thread.get() :param async_req bool :param str name: (required)\",\n \"if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if\",\n \"params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes']))\",\n \"noqa: E501 \\\"\\\"\\\"Retrieve log from a container # noqa: E501\",\n \"= api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get()\",\n \"import absolute_import import re # noqa: F401 # python 2\",\n \"header_params = {} form_params = [] local_var_files = {} body_params\",\n \"request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name,\",\n \"the method is called asynchronously, returns the request thread. \\\"\\\"\\\"\",\n \"# verify the required parameter 'pod_name' is set if ('pod_name'\",\n \"def __init__(self, api_client=None): if api_client is None: api_client = ApiClient()\",\n \"noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa:\",\n \"the required parameter 'namespace' is set if ('namespace' not in\",\n \"in params or params['name'] is None): raise ValueError(\\\"Missing the required\",\n \"This class is auto generated by the swagger code generator\",\n \"generated by the swagger code generator program. Do not edit\",\n \"str follow: :param str limit_bytes: :param str pretty: :param str\",\n \"val del params['kwargs'] # verify the required parameter 'name' is\",\n \"program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\"\",\n \"the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return\",\n \"`pod_name` when calling `logs_get`\\\") # noqa: E501 # verify the\",\n \"noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa:\",\n \"by the swagger code generator program. Do not edit the\",\n \"noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster,\",\n \"noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for\",\n \":param str since_seconds: :param str since_time: :param str tail_lines: :param\",\n \"if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if\",\n \"limit_bytes: :param str pretty: :param str previous: :param str since_seconds:\",\n \"params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params:\",\n \"pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req\",\n \"# noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) #\",\n \"params[key] = val del params['kwargs'] # verify the required parameter\",\n \"params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty']))\",\n \"code generator program. Do not edit the class manually. Ref:\",\n \"pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) =\",\n \"please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster,\",\n \"since_seconds: :param str since_time: :param str tail_lines: :param str timestamps:\",\n \"pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from\",\n \">>> result = thread.get() :param async_req bool :param str name:\",\n \"post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content',\",\n \"asynchronously, returns the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name',\",\n \"and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0\",\n \"cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name,\",\n \"E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) #\",\n \"client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto\",\n \"in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in\",\n \"\\\"\\\"\\\" Merlin API Guide for accessing Merlin's model management, deployment,\",\n \"container # noqa: E501 This method makes a synchronous HTTP\",\n \"import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated\",\n \"params or params['namespace'] is None): raise ValueError(\\\"Missing the required parameter\",\n \"set if ('pod_name' not in params or params['pod_name'] is None):\",\n \"for accessing Merlin's model management, deployment, and serving functionalities #\",\n \"'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa:\",\n \"from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is\",\n \"method is called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only']\",\n \"query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds',\",\n \"kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster,\",\n \"= [] local_var_files = {} body_params = None # Authentication\",\n \"'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params =\",\n \"params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time']))\",\n \"name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log\",\n \"query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name',\",\n \"params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter `pod_name` when\",\n \"'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps'\",\n \"E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501\",\n \"required parameter `name` when calling `logs_get`\\\") # noqa: E501 #\",\n \"{} form_params = [] local_var_files = {} body_params = None\",\n \"str timestamps: :return: None If the method is called asynchronously,\",\n \"else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa:\",\n \"thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result =\",\n \"query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time',\",\n \"method logs_get\\\" % key ) params[key] = val del params['kwargs']\",\n \"params['cluster'] is None): raise ValueError(\\\"Missing the required parameter `cluster` when\",\n \"E501 This method makes a synchronous HTTP request by default.\",\n \"noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa:\",\n \"the required parameter 'pod_name' is set if ('pod_name' not in\",\n \"if ('pod_name' not in params or params['pod_name'] is None): raise\",\n \"E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501\",\n \"if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa:\"\n]","isConversational":false}}},{"rowIdx":791,"cells":{"ngram":{"kind":"list like","value":["header = prefix + \"\\n\" header += prefix + nchar","class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from","system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self):","multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in","\"\"\" Print header text before solving. \"\"\" if (self.options['iprint'] >","pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix","header += prefix + nchar * \"=\" + \"\\n\" header","Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def","system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop()","pathname = self._system.pathname if pathname: nchar = len(pathname) prefix =","\"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname:","+ \"\\n\" header += prefix + nchar * \"=\" +","prefix = self._solver_info.prefix header = prefix + \"\\n\" header +=","in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf()","on the system. \"\"\" system = self._system # If this","= prefix + \"\\n\" header += prefix + nchar *","+ nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run the","= 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations in","_mpi_print_header(self): \"\"\" Print header text before solving. \"\"\" if (self.options['iprint']","'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this","\"=\" + \"\\n\" header += prefix + pathname + \"\\n\"","\"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method on","def _run_apply(self): \"\"\" Run the apply_nonlinear method on the system.","and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply()","def _single_iteration(self): \"\"\" Perform the operations in the iteration loop.","prefix + \"\\n\" header += prefix + nchar * \"=\"","\"\\n\" header += prefix + nchar * \"=\" + \"\\n\"","header += prefix + pathname + \"\\n\" header += prefix","analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm):","is a parallel group, check for analysis errors and reraise.","prefix + nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run","self._system # If this is a parallel group, check for","prefix + pathname + \"\\n\" header += prefix + nchar","if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else: super(NonlinearBlockJac,","rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text","system = self._system # If this is a parallel group,","pathname + \"\\n\" header += prefix + nchar * \"=\"","+ nchar * \"=\" + \"\\n\" header += prefix +","self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before solving. \"\"\"","errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for","len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear()","solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform","subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs =","= self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as","_single_iteration(self): \"\"\" Perform the operations in the iteration loop. \"\"\"","apply_nonlinear method on the system. \"\"\" system = self._system #","len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for","import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\"","block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self):","errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac,","system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self)","\"\\n\" header += prefix + pathname + \"\\n\" header +=","prefix + nchar * \"=\" + \"\\n\" header += prefix","iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with","self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec:","from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver):","0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header","system. \"\"\" system = self._system # If this is a","rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\"","+ pathname + \"\\n\" header += prefix + nchar *","NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block","class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER =","\"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the","SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations","nchar = len(pathname) prefix = self._solver_info.prefix header = prefix +","NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL:","+ \"\\n\" header += prefix + nchar * \"=\" print(header)","!= len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else:","solving. \"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname if","with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys","* \"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method","+= prefix + pathname + \"\\n\" header += prefix +","print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method on the","the system. \"\"\" system = self._system # If this is","as rec: # If this is a parallel group, check","\"\"\"Define the NonlinearBlockJac class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver","If this is a parallel group, check for analysis errors","the NonlinearBlockJac class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import","for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc:","= 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print","= 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before","system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If","operations in the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver()","method on the system. \"\"\" system = self._system # If","rec: # If this is a parallel group, check for","parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc)","* \"=\" + \"\\n\" header += prefix + pathname +","= len(pathname) prefix = self._solver_info.prefix header = prefix + \"\\n\"","+= prefix + nchar * \"=\" print(header) def _run_apply(self): \"\"\"","reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in","Print header text before solving. \"\"\" if (self.options['iprint'] > 0):","import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear","Perform the operations in the iteration loop. \"\"\" system =","in the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear',","openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import","group, check for analysis errors and reraise. if len(system._subsystems_myproc) !=","else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0","> 0): pathname = self._system.pathname if pathname: nchar = len(pathname)","subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel =","len(pathname) prefix = self._solver_info.prefix header = prefix + \"\\n\" header","self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: #","text before solving. \"\"\" if (self.options['iprint'] > 0): pathname =","nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear","\"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ'","from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi","= self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix","for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with","0, self) as rec: # If this is a parallel","the apply_nonlinear method on the system. \"\"\" system = self._system","= self._system # If this is a parallel group, check","+= prefix + nchar * \"=\" + \"\\n\" header +=","openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver.","Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\"","reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else:","NLBJ' def _single_iteration(self): \"\"\" Perform the operations in the iteration","nchar * \"=\" + \"\\n\" header += prefix + pathname","openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\"","multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER","self) as rec: # If this is a parallel group,","before solving. \"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname","def _mpi_print_header(self): \"\"\" Print header text before solving. \"\"\" if","the operations in the iteration loop. \"\"\" system = self._system","import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check","if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header =","'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations in the","self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header","Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class","from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi","\"\"\" system = self._system # If this is a parallel","the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd')","0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before solving.","and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys","if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar","Recording('NonlinearBlockJac', 0, self) as rec: # If this is a","a parallel group, check for analysis errors and reraise. if","loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac',","header += prefix + nchar * \"=\" print(header) def _run_apply(self):","len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else: super(NonlinearBlockJac, self)._run_apply()","\"\"\" Perform the operations in the iteration loop. \"\"\" system","if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc:","for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel","\"\\n\" header += prefix + nchar * \"=\" print(header) def","# If this is a parallel group, check for analysis","subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear()","(self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar =","+ \"\\n\" header += prefix + pathname + \"\\n\" header","\"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0,","0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix","self._solver_info.prefix header = prefix + \"\\n\" header += prefix +","_run_apply(self): \"\"\" Run the apply_nonlinear method on the system. \"\"\"","in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0","subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def","check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs):","header text before solving. \"\"\" if (self.options['iprint'] > 0): pathname","= self._solver_info.prefix header = prefix + \"\\n\" header += prefix","NonlinearBlockJac class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver","Run the apply_nonlinear method on the system. \"\"\" system =","system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs","this is a parallel group, check for analysis errors and","with Recording('NonlinearBlockJac', 0, self) as rec: # If this is","\"\"\" Run the apply_nonlinear method on the system. \"\"\" system"],"string":"[\n \"header = prefix + \\\"\\\\n\\\" header += prefix + nchar\",\n \"class.\\\"\\\"\\\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from\",\n \"system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self):\",\n \"multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in\",\n \"\\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if (self.options['iprint'] >\",\n \"pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix\",\n \"header += prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header\",\n \"Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def\",\n \"system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop()\",\n \"pathname = self._system.pathname if pathname: nchar = len(pathname) prefix =\",\n \"\\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname:\",\n \"+ \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" +\",\n \"prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header +=\",\n \"in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf()\",\n \"on the system. \\\"\\\"\\\" system = self._system # If this\",\n \"= prefix + \\\"\\\\n\\\" header += prefix + nchar *\",\n \"+ nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the\",\n \"= 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in\",\n \"_mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if (self.options['iprint']\",\n \"'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this\",\n \"\\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\"\",\n \"\\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on\",\n \"def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the system.\",\n \"and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply()\",\n \"def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration loop.\",\n \"prefix + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\"\",\n \"\\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\"\",\n \"header += prefix + pathname + \\\"\\\\n\\\" header += prefix\",\n \"analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm):\",\n \"is a parallel group, check for analysis errors and reraise.\",\n \"prefix + nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run\",\n \"self._system # If this is a parallel group, check for\",\n \"prefix + pathname + \\\"\\\\n\\\" header += prefix + nchar\",\n \"if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else: super(NonlinearBlockJac,\",\n \"rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text\",\n \"system = self._system # If this is a parallel group,\",\n \"pathname + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\"\",\n \"+ nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix +\",\n \"self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\"\",\n \"errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for\",\n \"len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear()\",\n \"solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform\",\n \"subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs =\",\n \"= self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as\",\n \"_single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration loop. \\\"\\\"\\\"\",\n \"apply_nonlinear method on the system. \\\"\\\"\\\" system = self._system #\",\n \"len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for\",\n \"import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\"\",\n \"block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self):\",\n \"errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac,\",\n \"system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self)\",\n \"\\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\" header +=\",\n \"prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix\",\n \"iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with\",\n \"self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec:\",\n \"from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver):\",\n \"0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header\",\n \"system. \\\"\\\"\\\" system = self._system # If this is a\",\n \"rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\"\",\n \"+ pathname + \\\"\\\\n\\\" header += prefix + nchar *\",\n \"NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block\",\n \"class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER =\",\n \"\\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the\",\n \"SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations\",\n \"nchar = len(pathname) prefix = self._solver_info.prefix header = prefix +\",\n \"NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL:\",\n \"+ \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" print(header)\",\n \"!= len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else:\",\n \"solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname if\",\n \"with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys\",\n \"* \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method\",\n \"+= prefix + pathname + \\\"\\\\n\\\" header += prefix +\",\n \"print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the\",\n \"the system. \\\"\\\"\\\" system = self._system # If this is\",\n \"as rec: # If this is a parallel group, check\",\n \"\\\"\\\"\\\"Define the NonlinearBlockJac class.\\\"\\\"\\\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver\",\n \"If this is a parallel group, check for analysis errors\",\n \"the NonlinearBlockJac class.\\\"\\\"\\\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import\",\n \"for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc:\",\n \"= 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print\",\n \"= 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before\",\n \"system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If\",\n \"operations in the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver()\",\n \"method on the system. \\\"\\\"\\\" system = self._system # If\",\n \"rec: # If this is a parallel group, check for\",\n \"parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc)\",\n \"* \\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname +\",\n \"= len(pathname) prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\"\",\n \"+= prefix + nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\"\",\n \"reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in\",\n \"Print header text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0):\",\n \"import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear\",\n \"Perform the operations in the iteration loop. \\\"\\\"\\\" system =\",\n \"in the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear',\",\n \"openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import\",\n \"group, check for analysis errors and reraise. if len(system._subsystems_myproc) !=\",\n \"else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0\",\n \"> 0): pathname = self._system.pathname if pathname: nchar = len(pathname)\",\n \"subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel =\",\n \"len(pathname) prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header\",\n \"self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: #\",\n \"text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname =\",\n \"nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear\",\n \"\\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ'\",\n \"from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi\",\n \"= self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix\",\n \"for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with\",\n \"0, self) as rec: # If this is a parallel\",\n \"the apply_nonlinear method on the system. \\\"\\\"\\\" system = self._system\",\n \"= self._system # If this is a parallel group, check\",\n \"+= prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header +=\",\n \"openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver.\",\n \"Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\"\",\n \"reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else:\",\n \"NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration\",\n \"nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname\",\n \"openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\"\",\n \"multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER\",\n \"self) as rec: # If this is a parallel group,\",\n \"before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname\",\n \"def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if\",\n \"the operations in the iteration loop. \\\"\\\"\\\" system = self._system\",\n \"import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check\",\n \"if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header =\",\n \"'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the\",\n \"self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header\",\n \"Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class\",\n \"from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi\",\n \"\\\"\\\"\\\" system = self._system # If this is a parallel\",\n \"the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd')\",\n \"0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving.\",\n \"and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys\",\n \"if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar\",\n \"Recording('NonlinearBlockJac', 0, self) as rec: # If this is a\",\n \"a parallel group, check for analysis errors and reraise. if\",\n \"loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac',\",\n \"header += prefix + nchar * \\\"=\\\" print(header) def _run_apply(self):\",\n \"len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else: super(NonlinearBlockJac, self)._run_apply()\",\n \"\\\"\\\"\\\" Perform the operations in the iteration loop. \\\"\\\"\\\" system\",\n \"if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc:\",\n \"for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel\",\n \"\\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" print(header) def\",\n \"# If this is a parallel group, check for analysis\",\n \"subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear()\",\n \"(self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar =\",\n \"+ \\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\" header\",\n \"\\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0,\",\n \"0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix\",\n \"self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header += prefix +\",\n \"_run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the system. \\\"\\\"\\\"\",\n \"in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0\",\n \"subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def\",\n \"check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs):\",\n \"header text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname\",\n \"= self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header += prefix\",\n \"NonlinearBlockJac class.\\\"\\\"\\\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver\",\n \"Run the apply_nonlinear method on the system. \\\"\\\"\\\" system =\",\n \"system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs\",\n \"this is a parallel group, check for analysis errors and\",\n \"with Recording('NonlinearBlockJac', 0, self) as rec: # If this is\",\n \"\\\"\\\"\\\" Run the apply_nonlinear method on the system. \\\"\\\"\\\" system\"\n]","isConversational":false}}},{"rowIdx":792,"cells":{"ngram":{"kind":"list like","value":["absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import","x: x for x, predicate_1 in enumerate(filters): for y, predicate_2","n: (n, x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap],","for predicate in predicates: if isinstance(r, tuple): b = predicate(*r)","dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x","2.0 (the \"License\"); # you may not use this file","x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x,","\"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset =","* math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self,","greater = lambda x: math_ops.greater(x + 5, 0) functions =","sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def","minus_five = lambda x: x - 5 def increment_and_square(x): y","absolute_import from __future__ import division from __future__ import print_function from","y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__())","as sess: for x in range(5): result = sess.run(get_next) r",")) swap = lambda x, n: (n, x) tests.append(( \"Swap1\",","predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next","predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero","y * y functions = [identity, increment, increment_and_square] tests =","increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests","[predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) #","in range(5): result = sess.run(get_next) r = x for function","j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], ))","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","tests.append( (\"Multi2\", lambda x: (x, 2), lambda x, y: math_ops.equal(x","optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset = dataset.map(function) dataset","function in functions: if isinstance(r, tuple): r = function(*r) #","fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y),","with self.test_session() as sess: for x in range(5): r =","5 def increment_and_square(x): y = x + 1 return y","j, k), [fun1, fun2, fun3], )) swap = lambda x,","0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all,","break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with","= dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset =","lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x,","if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):","enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1,","swap = lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda","x for x, predicate_1 in enumerate(filters): for y, predicate_2 in","from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework","take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda x,","parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from","y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def","tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\",","use this file except in compliance with the License. #","x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda x: (x,","sess: for x in range(5): r = map_function(x) filtered =","Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r,","= lambda x: x - 5 def increment_and_square(x): y =","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3 in","tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next(","predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3]))","as multiple arguments. else: b = predicate(r) if not sess.run(b):","0) greater = lambda x: math_ops.greater(x + 5, 0) functions","License. # You may obtain a copy of the License","sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4,","parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment","The TensorFlow Authors. All Rights Reserved. # # Licensed under","lambda x: x + 1 def increment_and_square(x): y = x","(x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self,","division from __future__ import print_function from absl.testing import parameterized from","math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self,","under the License is distributed on an \"AS IS\" BASIS,","[\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all","[fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i,","License for the specific language governing permissions and # limitations","b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function =","additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset,","the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from","from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops","tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"]))","= constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda","lambda x: x for x, predicate_1 in enumerate(filters): for y,","import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops","function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator()","Reserved. # # Licensed under the Apache License, Version 2.0","in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j),","(x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x:","take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ]))","tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity","governing permissions and # limitations under the License. # ==============================================================================","result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64)","We are currently not supporting functions with additional inputs. dataset","= lambda x: math_ops.greater(x + 5, 0) tests = []","optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator","TensorFlow Authors. All Rights Reserved. # # Licensed under the","dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from","= False for predicate in predicates: if isinstance(r, tuple): b","import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops","= lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda x:","lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x:","r = function(*r) # Pass tuple as multiple arguments. else:","in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity,","is_zero, is_odd, greater] tests = [] for x, fun in","for x, fun in enumerate(functions): for y, predicate in enumerate(filters):","from __future__ import absolute_import from __future__ import division from __future__","math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0)","in compliance with the License. # You may obtain a","lambda x: x + 1 minus_five = lambda x: x","self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ == \"__main__\": test.main()","= dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for","software # distributed under the License is distributed on an","b = predicate(*r) # Pass tuple as multiple arguments. else:","import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization","enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1,","* math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function,","fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for","= sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ ==","k), [fun1, fun2, fun3], )) swap = lambda x, n:","lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd","\"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset","lambda x: x increment = lambda x: x + 1","y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x,","[lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__())","= [take_all, is_zero, is_odd, greater] tests = [] for x,","predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not","dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator()","1 def increment_and_square(x): y = x + 1 return y","= dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod","enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3","\"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from","+ 5, 0) tests = [] filters = [take_all, is_zero,","testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in","math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function,","multiple arguments. else: b = predicate(r) if not sess.run(b): filtered","if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)","arguments. else: b = predicate(r) if not sess.run(b): filtered =","swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset","for x in range(5): result = sess.run(get_next) r = x","def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply(","= dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with","lambda x: x - 5 def increment_and_square(x): y = x","x - 5 def increment_and_square(x): y = x + 1","filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x:","iterator.get_next() with self.test_session() as sess: for x in range(5): result","functions: if isinstance(r, tuple): r = function(*r) # Pass tuple","dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def","tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters):","in functions: if isinstance(r, tuple): r = function(*r) # Pass","x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater =","x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x,","math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def","__future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import","math_ops.mul(a, b) function = lambda x: x * x def","for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters):","OF ANY KIND, either express or implied. # See the","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","[ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0)","ANY KIND, either express or implied. # See the License","See the License for the specific language governing permissions and","dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset = dataset.map(function)","from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions():","Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda x, y:","the License. # You may obtain a copy of the","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","for the specific language governing permissions and # limitations under","x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda","to in writing, software # distributed under the License is","# Pass tuple as multiple arguments. else: b = predicate(r)","greater] identity = lambda x: x for x, predicate_1 in","# See the License for the specific language governing permissions","language governing permissions and # limitations under the License. #","as multiple arguments. else: b = predicate(r) if sess.run(b): result","predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator =","or agreed to in writing, software # distributed under the","required by applicable law or agreed to in writing, software","y take_all = lambda x: constant_op.constant(True) is_zero = lambda x:","constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x:","[predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z),","return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\",","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()","with the License. # You may obtain a copy of","5, 0) tests = [] filters = [take_all, is_zero, greater]","dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with","= x + 1 return y * y functions =","= function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions():","is_odd, greater] tests = [] for x, fun in enumerate(functions):","dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function","optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions():","constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple,","x, n: (n, x) tests.append(( \"Swap1\", [lambda x: (x, 42),","x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda","= lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0)","math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def","2, 0) greater = lambda x: math_ops.greater(x + 5, 0)","testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor","x: x + 1 def increment_and_square(x): y = x +","compliance with the License. # You may obtain a copy","All Rights Reserved. # # Licensed under the Apache License,","agreed to in writing, software # distributed under the License","sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a =","dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()","distributed under the License is distributed on an \"AS IS\"","for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions):","x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests)","tests.append(( \"Swap1\", [lambda x: (x, 42), swap], )) tests.append(( \"Swap2\",","not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)","= x + 1 return y * y take_all =","\"Swap2\", [lambda x: (x, 42), swap, swap], )) return tuple(tests)","with self.test_session() as sess: for x in range(5): result =","= map_function(x) filtered = False for predicate in predicates: if","express or implied. # See the License for the specific","functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator()","except in compliance with the License. # You may obtain","\"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate):","for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2]))","enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap","predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output","= lambda x: math_ops.equal(x % 2, 0) greater = lambda","Licensed under the Apache License, Version 2.0 (the \"License\"); #","not use this file except in compliance with the License.","isinstance(r, tuple): r = function(*r) # Pass tuple as multiple","tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import","constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda","dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x","\"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions):","iterator.get_next() with self.test_session() as sess: for x in range(10): r","lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x %","iterator.get_next() with self.test_session() as sess: for x in range(5): r","writing, software # distributed under the License is distributed on","= predicate(*r) # Pass tuple as multiple arguments. else: b","z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y:","result = sess.run(get_next) r = x for function in functions:","you may not use this file except in compliance with","# Licensed under the Apache License, Version 2.0 (the \"License\");","i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append((","under the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\"","filtered = False for predicate in predicates: if isinstance(r, tuple):","filtered = True break if not filtered: result = sess.run(get_next)","map_functions(): identity = lambda x: x increment = lambda x:","= sess.run(get_next) r = x for function in functions: if","= dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset","+ 1 return y * y take_all = lambda x:","optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as","import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity =","[\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function,","= [] for x, fun in enumerate(functions): for y, predicate","constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda x, y:","[] filters = [take_all, is_zero, greater] identity = lambda x:","def map_functions(): identity = lambda x: x increment = lambda","CONDITIONS OF ANY KIND, either express or implied. # See","1 return y * y functions = [identity, increment, increment_and_square]","x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x *","increment = lambda x: x + 1 minus_five = lambda","b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result)","[] for i, fun1 in enumerate(functions): for j, fun2 in","x: math_ops.greater(x + 5, 0) tests = [] filters =","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple","math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square]","isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple","permissions and # limitations under the License. # ============================================================================== \"\"\"Tests","for function in functions: if isinstance(r, tuple): r = function(*r)","License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__","= lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda","- 5 def increment_and_square(x): y = x + 1 return","= predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with","not sess.run(b): filtered = True break if not filtered: result","from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework","@staticmethod def map_and_filter_functions(): identity = lambda x: x increment =","@parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\",","constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda","= lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x","self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b =","x increment = lambda x: x + 1 def increment_and_square(x):","1 minus_five = lambda x: x - 5 def increment_and_square(x):","= lambda x: x increment = lambda x: x +","+ 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters","tests = [] for i, fun1 in enumerate(functions): for j,","y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x, x),","map_function(x) filtered = False for predicate in predicates: if isinstance(r,","MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x","= function(x) if isinstance(r, tuple): b = predicate(*r) # Pass","math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0)","testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for","[identity, increment, increment_and_square] tests = [] for i, fun1 in","with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b","OR CONDITIONS OF ANY KIND, either express or implied. #","0) tests = [] filters = [take_all, is_zero, greater] identity","MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__ import division","some_tensor = math_ops.mul(a, b) function = lambda x: x *","the License is distributed on an \"AS IS\" BASIS, #","dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate)","sess.run(b): filtered = True break if not filtered: result =","multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):","Pass tuple as multiple arguments. else: b = predicate(r) if","x in range(5): r = map_function(x) filtered = False for","[take_all, is_zero, is_odd, greater] tests = [] for x, fun","tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x:","in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun,","as sess: for x in range(10): r = function(x) if","\"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda","r = x for function in functions: if isinstance(r, tuple):","= [] for i, fun1 in enumerate(functions): for j, fun2","x: x + 1 minus_five = lambda x: x -","tests = [] for x, fun in enumerate(functions): for y,","lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\",","def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64)","+ 1 return y * y functions = [identity, increment,","tuple as multiple arguments. else: b = predicate(r) if not","is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x:","import division from __future__ import print_function from absl.testing import parameterized","lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment,","# Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda x,","predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function,","law or agreed to in writing, software # distributed under","def increment_and_square(x): y = x + 1 return y *","= iterator.get_next() with self.test_session() as sess: for x in range(10):","constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b)","predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z,","@staticmethod def map_functions(): identity = lambda x: x increment =","lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64),","enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda","x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd =","lambda x: math_ops.equal(x % 2, 0) greater = lambda x:","range(5): r = map_function(x) filtered = False for predicate in","for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1,","x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) #","self.test_session() as sess: for x in range(10): r = function(x)","from __future__ import division from __future__ import print_function from absl.testing","= iterator.get_next() with self.test_session() as sess: for x in range(5):","fun3], )) swap = lambda x, n: (n, x) tests.append((","x increment = lambda x: x + 1 minus_five =","may obtain a copy of the License at # #","import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op","x: x increment = lambda x: x + 1 def","= dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()","if isinstance(r, tuple): b = predicate(*r) # Pass tuple as","identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True)","x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__())","from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework","currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply(","x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple,","testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"]))","self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator =","result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self):","for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply(","functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions:","tests.append((\"Multi1\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append(","dtypes.int64), some_tensor) # We are currently not supporting functions with","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","= sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a","def map_and_filter_functions(): identity = lambda x: x increment = lambda","(x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0)))","may not use this file except in compliance with the","in range(10): r = function(x) if isinstance(r, tuple): b =","r = function(x) if isinstance(r, tuple): b = predicate(*r) #","function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity","predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"]))","x: x increment = lambda x: x + 1 minus_five","x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","y = x + 1 return y * y functions","get_next = iterator.get_next() with self.test_session() as sess: for x in","predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity,","filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if","from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform","this file except in compliance with the License. # You","predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):","tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap], )) return","import absolute_import from __future__ import division from __future__ import print_function","return y * y take_all = lambda x: constant_op.constant(True) is_zero","dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self,","fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i,","(x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","predicate(r) if not sess.run(b): filtered = True break if not","# # Licensed under the Apache License, Version 2.0 (the","file except in compliance with the License. # You may","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","= x for function in functions: if isinstance(r, tuple): r","is_odd = lambda x: math_ops.equal(x % 2, 0) greater =","dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate)","2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64),","lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x","# Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple]))","y = x + 1 return y * y take_all","optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from","some_tensor) # We are currently not supporting functions with additional","dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset","in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], ))","(x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y,","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express",")) tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap], ))","return y * y functions = [identity, increment, increment_and_square] tests","(n, x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap], ))","[lambda x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda x:","self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity =","sess.run(get_next) r = x for function in functions: if isinstance(r,","supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\",","predicate in predicates: if isinstance(r, tuple): b = predicate(*r) #","functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero,","print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from","identity = lambda x: x increment = lambda x: x","False for predicate in predicates: if isinstance(r, tuple): b =","tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import","= [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd,","r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def","tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import","return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting","function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator","for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"]))","enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in","= [identity, increment, increment_and_square] tests = [] for i, fun1","x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64),","lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater","range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r)","swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset =","tuple as multiple arguments. else: b = predicate(r) if sess.run(b):","(\"Multi2\", lambda x: (x, 2), lambda x, y: math_ops.equal(x *","function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()","output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","tuple): r = function(*r) # Pass tuple as multiple arguments.","output tests.append((\"Multi1\", lambda x: (x, x), lambda x, y: constant_op.constant(True)))","with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"]))","y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x,","constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from","# ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import","for x in range(5): r = map_function(x) filtered = False","multiple arguments. else: b = predicate(r) if sess.run(b): result =","tests = [] filters = [take_all, is_zero, greater] identity =","greater = lambda x: math_ops.greater(x + 5, 0) tests =","or implied. # See the License for the specific language","arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next)","Rights Reserved. # # Licensed under the Apache License, Version","predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in","in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\",","x for function in functions: if isinstance(r, tuple): r =","KIND, either express or implied. # See the License for","specific language governing permissions and # limitations under the License.","take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x,","in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k,","@staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero =","= math_ops.mul(a, b) function = lambda x: x * x","for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) #","tuple): b = predicate(*r) # Pass tuple as multiple arguments.","2018 The TensorFlow Authors. All Rights Reserved. # # Licensed","a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor =","self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x:","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset,","(x, 42), swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42),","self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x","else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r,","Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\",","dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()","with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x:","enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple =","dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as","j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append((","(the \"License\"); # you may not use this file except","predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda","# you may not use this file except in compliance","x: x - 5 def increment_and_square(x): y = x +","y functions = [identity, increment, increment_and_square] tests = [] for","test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda","42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions):","z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2,","tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda","take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\",","fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3],","= True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r,","function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True)","= lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y,","# limitations under the License. # ============================================================================== \"\"\"Tests for the","fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x, x),","is_zero, greater] identity = lambda x: x for x, predicate_1","x + 1 return y * y functions = [identity,","sess: for x in range(10): r = function(x) if isinstance(r,","filters = [take_all, is_zero, greater] identity = lambda x: x","x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x,","self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3,","# # Unless required by applicable law or agreed to","optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate)","= predicate(r) if not sess.run(b): filtered = True break if","increment_and_square(x): y = x + 1 return y * y","dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next =","result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator =","dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates):","Version 2.0 (the \"License\"); # you may not use this","x + 1 def increment_and_square(x): y = x + 1","============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import","[take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda","@parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\",","predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as","2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return","enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate))","the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__ import","as sess: for x in range(5): r = map_function(x) filtered","# Copyright 2018 The TensorFlow Authors. All Rights Reserved. #","Copyright 2018 The TensorFlow Authors. All Rights Reserved. # #","__future__ import absolute_import from __future__ import division from __future__ import","x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5,","sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment","implied. # See the License for the specific language governing","inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function,","map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate","under the Apache License, Version 2.0 (the \"License\"); # you","= dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def","[fun1, fun2, fun3], )) swap = lambda x, n: (n,","with self.test_session() as sess: for x in range(10): r =","* x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We","0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset","+ 1 minus_five = lambda x: x - 5 def","functions = [identity, increment, increment_and_square] tests = [] for i,","by applicable law or agreed to in writing, software #","return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply(","x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2,","lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x +","for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2],","tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result)","0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset =","= lambda x: x + 1 minus_five = lambda x:","= lambda x: math_ops.greater(x + 5, 0) functions = [identity,","in range(5): r = map_function(x) filtered = False for predicate","if not sess.run(b): filtered = True break if not filtered:","= dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next =","r = map_function(x) filtered = False for predicate in predicates:","5, 0) functions = [identity, increment, minus_five, increment_and_square] filters =","predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y),","function = lambda x: x * x def predicate(y): return","tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap =","x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap], )) tests.append((","\"Swap1\", [lambda x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda","1 return y * y take_all = lambda x: constant_op.constant(True)","import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes","in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3","0) greater = lambda x: math_ops.greater(x + 5, 0) tests","y * y take_all = lambda x: constant_op.constant(True) is_zero =","42), swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42), swap,","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","fun2], )) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j,","0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater","Unless required by applicable law or agreed to in writing,","= [] filters = [take_all, is_zero, greater] identity = lambda","lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return","x + 1 minus_five = lambda x: x - 5","limitations under the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion","# We are currently not supporting functions with additional inputs.","the specific language governing permissions and # limitations under the","greater] tests = [] for x, fun in enumerate(functions): for","for x in range(10): r = function(x) if isinstance(r, tuple):","* y functions = [identity, increment, increment_and_square] tests = []","tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import","from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase,","[identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater]","applicable law or agreed to in writing, software # distributed","dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from","map_and_filter_functions(): identity = lambda x: x increment = lambda x:","increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions):","are currently not supporting functions with additional inputs. dataset =","math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x +","lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y,","from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops","x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2),","_testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()","in writing, software # distributed under the License is distributed","not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next(","return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply(","self.test_session() as sess: for x in range(5): result = sess.run(get_next)","x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x,","else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod","predicate(*r) # Pass tuple as multiple arguments. else: b =","= dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next","predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output","= lambda x: x for x, predicate_1 in enumerate(filters): for",")) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply(","License is distributed on an \"AS IS\" BASIS, # WITHOUT","increment = lambda x: x + 1 def increment_and_square(x): y","License, Version 2.0 (the \"License\"); # you may not use","errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class","= function(*r) # Pass tuple as multiple arguments. else: r","= [take_all, is_zero, greater] identity = lambda x: x for","is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x:","# You may obtain a copy of the License at","for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__","True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result)","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import","Authors. All Rights Reserved. # # Licensed under the Apache","sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ == \"__main__\":","increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = []","* y take_all = lambda x: constant_op.constant(True) is_zero = lambda","lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2),",")) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k),","import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors","import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod","b = predicate(r) if not sess.run(b): filtered = True break","fun2, fun3], )) swap = lambda x, n: (n, x)","the License for the specific language governing permissions and #","= constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a,","Apache License, Version 2.0 (the \"License\"); # you may not","y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda x,","# Pass tuple as multiple arguments. else: r = function(r)","either express or implied. # See the License for the","if isinstance(r, tuple): r = function(*r) # Pass tuple as","import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset =","tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda x, y:","y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for","def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function)","def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda","@parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for","x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five,","for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1,","def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function","sess: for x in range(5): result = sess.run(get_next) r =","= lambda x: x + 1 def increment_and_square(x): y =","__future__ import division from __future__ import print_function from absl.testing import","function(*r) # Pass tuple as multiple arguments. else: r =","x + 1 return y * y take_all = lambda","x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda","function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple","x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor)","lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests)","+ 1 def increment_and_square(x): y = x + 1 return","predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple","increment_and_square] tests = [] for i, fun1 in enumerate(functions): for","lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda x: (x,","y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi","b) function = lambda x: x * x def predicate(y):","identity = lambda x: x for x, predicate_1 in enumerate(filters):","arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)","% 2, 0) greater = lambda x: math_ops.greater(x + 5,","math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate):","math_ops.greater(x + 5, 0) tests = [] filters = [take_all,","dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates:","dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next","class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x:","self.test_session() as sess: for x in range(5): r = map_function(x)","functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply(","def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next =","iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess:","in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass","\"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all =","\"License\"); # you may not use this file except in","\"Prefetch\"])) for function in functions: dataset = dataset.map(function) dataset =","<filename>tensorflow/contrib/data/python/kernel_tests/optimization/map_and_filter_fusion_test.py # Copyright 2018 The TensorFlow Authors. All Rights Reserved.","[take_all, is_zero, greater] identity = lambda x: x for x,","= lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently","tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x:","dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset =","as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with","# distributed under the License is distributed on an \"AS","tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase):","# Unless required by applicable law or agreed to in","and # limitations under the License. # ============================================================================== \"\"\"Tests for","range(5): result = sess.run(get_next) r = x for function in","predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi","swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap],","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y,","math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions","lambda x: math_ops.greater(x + 5, 0) tests = [] filters","else: b = predicate(r) if not sess.run(b): filtered = True","minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests =","You may obtain a copy of the License at #","result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda","x in range(5): result = sess.run(get_next) r = x for","x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are","dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset","y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x,","optimization.\"\"\" from __future__ import absolute_import from __future__ import division from","k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2,","dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with","from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops","[] for x, fun in enumerate(functions): for y, predicate in","the Apache License, Version 2.0 (the \"License\"); # you may","in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator","x in range(10): r = function(x) if isinstance(r, tuple): b","filters = [take_all, is_zero, is_odd, greater] tests = [] for","function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset,"],"string":"[\n \"absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import\",\n \"x: x for x, predicate_1 in enumerate(filters): for y, predicate_2\",\n \"n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap],\",\n \"for predicate in predicates: if isinstance(r, tuple): b = predicate(*r)\",\n \"dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x\",\n \"2.0 (the \\\"License\\\"); # you may not use this file\",\n \"x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x,\",\n \"\\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset =\",\n \"* math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self,\",\n \"greater = lambda x: math_ops.greater(x + 5, 0) functions =\",\n \"sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def\",\n \"minus_five = lambda x: x - 5 def increment_and_square(x): y\",\n \"absolute_import from __future__ import division from __future__ import print_function from\",\n \"y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__())\",\n \"as sess: for x in range(5): result = sess.run(get_next) r\",\n \")) swap = lambda x, n: (n, x) tests.append(( \\\"Swap1\\\",\",\n \"predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next\",\n \"predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero\",\n \"y * y functions = [identity, increment, increment_and_square] tests =\",\n \"increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests\",\n \"[predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) #\",\n \"in range(5): result = sess.run(get_next) r = x for function\",\n \"j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], ))\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x, y: math_ops.equal(x\",\n \"optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function) dataset\",\n \"function in functions: if isinstance(r, tuple): r = function(*r) #\",\n \"fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y),\",\n \"with self.test_session() as sess: for x in range(5): r =\",\n \"5 def increment_and_square(x): y = x + 1 return y\",\n \"j, k), [fun1, fun2, fun3], )) swap = lambda x,\",\n \"0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all,\",\n \"break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with\",\n \"= dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset =\",\n \"lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x,\",\n \"if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):\",\n \"enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1,\",\n \"swap = lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda\",\n \"x for x, predicate_1 in enumerate(filters): for y, predicate_2 in\",\n \"from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework\",\n \"take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda x,\",\n \"parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from\",\n \"y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def\",\n \"tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\",\",\n \"use this file except in compliance with the License. #\",\n \"x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x,\",\n \"sess: for x in range(5): r = map_function(x) filtered =\",\n \"Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r,\",\n \"= lambda x: x - 5 def increment_and_square(x): y =\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3 in\",\n \"tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next(\",\n \"predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3]))\",\n \"as multiple arguments. else: b = predicate(r) if not sess.run(b):\",\n \"0) greater = lambda x: math_ops.greater(x + 5, 0) functions\",\n \"License. # You may obtain a copy of the License\",\n \"sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4,\",\n \"parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment\",\n \"The TensorFlow Authors. All Rights Reserved. # # Licensed under\",\n \"lambda x: x + 1 def increment_and_square(x): y = x\",\n \"(x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self,\",\n \"division from __future__ import print_function from absl.testing import parameterized from\",\n \"math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self,\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"[\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all\",\n \"[fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i,\",\n \"License for the specific language governing permissions and # limitations\",\n \"b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function =\",\n \"additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset,\",\n \"the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from\",\n \"from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops\",\n \"tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"]))\",\n \"= constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda\",\n \"lambda x: x for x, predicate_1 in enumerate(filters): for y,\",\n \"import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops\",\n \"function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator()\",\n \"Reserved. # # Licensed under the Apache License, Version 2.0\",\n \"in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j),\",\n \"(x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x:\",\n \"take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ]))\",\n \"tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity\",\n \"governing permissions and # limitations under the License. # ==============================================================================\",\n \"result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64)\",\n \"We are currently not supporting functions with additional inputs. dataset\",\n \"= lambda x: math_ops.greater(x + 5, 0) tests = []\",\n \"optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator\",\n \"TensorFlow Authors. All Rights Reserved. # # Licensed under the\",\n \"dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from\",\n \"= False for predicate in predicates: if isinstance(r, tuple): b\",\n \"import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops\",\n \"= lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x:\",\n \"lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x:\",\n \"r = function(*r) # Pass tuple as multiple arguments. else:\",\n \"in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity,\",\n \"is_zero, is_odd, greater] tests = [] for x, fun in\",\n \"for x, fun in enumerate(functions): for y, predicate in enumerate(filters):\",\n \"from __future__ import absolute_import from __future__ import division from __future__\",\n \"math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0)\",\n \"in compliance with the License. # You may obtain a\",\n \"lambda x: x + 1 minus_five = lambda x: x\",\n \"self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ == \\\"__main__\\\": test.main()\",\n \"= dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for\",\n \"software # distributed under the License is distributed on an\",\n \"b = predicate(*r) # Pass tuple as multiple arguments. else:\",\n \"import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization\",\n \"enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1,\",\n \"* math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function,\",\n \"fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for\",\n \"= sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ ==\",\n \"k), [fun1, fun2, fun3], )) swap = lambda x, n:\",\n \"lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd\",\n \"\\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset\",\n \"lambda x: x increment = lambda x: x + 1\",\n \"y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x,\",\n \"[lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__())\",\n \"= [take_all, is_zero, is_odd, greater] tests = [] for x,\",\n \"predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not\",\n \"dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator()\",\n \"1 def increment_and_square(x): y = x + 1 return y\",\n \"= dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod\",\n \"enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3\",\n \"\\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from\",\n \"+ 5, 0) tests = [] filters = [take_all, is_zero,\",\n \"testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in\",\n \"math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function,\",\n \"multiple arguments. else: b = predicate(r) if not sess.run(b): filtered\",\n \"if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)\",\n \"arguments. else: b = predicate(r) if not sess.run(b): filtered =\",\n \"swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset\",\n \"for x in range(5): result = sess.run(get_next) r = x\",\n \"def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply(\",\n \"= dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with\",\n \"lambda x: x - 5 def increment_and_square(x): y = x\",\n \"x - 5 def increment_and_square(x): y = x + 1\",\n \"filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x:\",\n \"iterator.get_next() with self.test_session() as sess: for x in range(5): result\",\n \"functions: if isinstance(r, tuple): r = function(*r) # Pass tuple\",\n \"dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def\",\n \"tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters):\",\n \"in functions: if isinstance(r, tuple): r = function(*r) # Pass\",\n \"x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater =\",\n \"x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x,\",\n \"math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def\",\n \"__future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import\",\n \"math_ops.mul(a, b) function = lambda x: x * x def\",\n \"for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters):\",\n \"OF ANY KIND, either express or implied. # See the\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"[ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0)\",\n \"ANY KIND, either express or implied. # See the License\",\n \"See the License for the specific language governing permissions and\",\n \"dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function)\",\n \"from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions():\",\n \"Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y:\",\n \"the License. # You may obtain a copy of the\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"for the specific language governing permissions and # limitations under\",\n \"x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda\",\n \"to in writing, software # distributed under the License is\",\n \"# Pass tuple as multiple arguments. else: b = predicate(r)\",\n \"greater] identity = lambda x: x for x, predicate_1 in\",\n \"# See the License for the specific language governing permissions\",\n \"language governing permissions and # limitations under the License. #\",\n \"as multiple arguments. else: b = predicate(r) if sess.run(b): result\",\n \"predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator =\",\n \"or agreed to in writing, software # distributed under the\",\n \"required by applicable law or agreed to in writing, software\",\n \"y take_all = lambda x: constant_op.constant(True) is_zero = lambda x:\",\n \"constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x:\",\n \"[predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z),\",\n \"return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\",\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()\",\n \"with the License. # You may obtain a copy of\",\n \"5, 0) tests = [] filters = [take_all, is_zero, greater]\",\n \"dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with\",\n \"= x + 1 return y * y functions =\",\n \"= function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions():\",\n \"is_odd, greater] tests = [] for x, fun in enumerate(functions):\",\n \"dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function\",\n \"optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions():\",\n \"constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple,\",\n \"x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42),\",\n \"x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda\",\n \"= lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0)\",\n \"math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def\",\n \"2, 0) greater = lambda x: math_ops.greater(x + 5, 0)\",\n \"testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor\",\n \"x: x + 1 def increment_and_square(x): y = x +\",\n \"compliance with the License. # You may obtain a copy\",\n \"All Rights Reserved. # # Licensed under the Apache License,\",\n \"agreed to in writing, software # distributed under the License\",\n \"sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a =\",\n \"dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()\",\n \"distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions):\",\n \"x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests)\",\n \"tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\",\",\n \"not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)\",\n \"= x + 1 return y * y take_all =\",\n \"\\\"Swap2\\\", [lambda x: (x, 42), swap, swap], )) return tuple(tests)\",\n \"with self.test_session() as sess: for x in range(5): result =\",\n \"= map_function(x) filtered = False for predicate in predicates: if\",\n \"express or implied. # See the License for the specific\",\n \"functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator()\",\n \"except in compliance with the License. # You may obtain\",\n \"\\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate):\",\n \"for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2]))\",\n \"enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap\",\n \"predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output\",\n \"= lambda x: math_ops.equal(x % 2, 0) greater = lambda\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"not use this file except in compliance with the License.\",\n \"isinstance(r, tuple): r = function(*r) # Pass tuple as multiple\",\n \"tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import\",\n \"constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda\",\n \"dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x\",\n \"\\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions):\",\n \"iterator.get_next() with self.test_session() as sess: for x in range(10): r\",\n \"lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x %\",\n \"iterator.get_next() with self.test_session() as sess: for x in range(5): r\",\n \"writing, software # distributed under the License is distributed on\",\n \"= predicate(*r) # Pass tuple as multiple arguments. else: b\",\n \"z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y:\",\n \"result = sess.run(get_next) r = x for function in functions:\",\n \"you may not use this file except in compliance with\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append((\",\n \"under the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\"\",\n \"filtered = False for predicate in predicates: if isinstance(r, tuple):\",\n \"filtered = True break if not filtered: result = sess.run(get_next)\",\n \"map_functions(): identity = lambda x: x increment = lambda x:\",\n \"= sess.run(get_next) r = x for function in functions: if\",\n \"= dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset\",\n \"+ 1 return y * y take_all = lambda x:\",\n \"optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as\",\n \"import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity =\",\n \"[\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function,\",\n \"= [] for x, fun in enumerate(functions): for y, predicate\",\n \"constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x, y:\",\n \"[] filters = [take_all, is_zero, greater] identity = lambda x:\",\n \"def map_functions(): identity = lambda x: x increment = lambda\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"1 return y * y functions = [identity, increment, increment_and_square]\",\n \"x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x *\",\n \"increment = lambda x: x + 1 minus_five = lambda\",\n \"b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result)\",\n \"[] for i, fun1 in enumerate(functions): for j, fun2 in\",\n \"x: math_ops.greater(x + 5, 0) tests = [] filters =\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple\",\n \"math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square]\",\n \"isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple\",\n \"permissions and # limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests\",\n \"for function in functions: if isinstance(r, tuple): r = function(*r)\",\n \"License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__\",\n \"= lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda\",\n \"- 5 def increment_and_square(x): y = x + 1 return\",\n \"= predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with\",\n \"not sess.run(b): filtered = True break if not filtered: result\",\n \"from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework\",\n \"@staticmethod def map_and_filter_functions(): identity = lambda x: x increment =\",\n \"@parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\",\",\n \"constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda\",\n \"= lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x\",\n \"self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b =\",\n \"x increment = lambda x: x + 1 def increment_and_square(x):\",\n \"1 minus_five = lambda x: x - 5 def increment_and_square(x):\",\n \"= lambda x: x increment = lambda x: x +\",\n \"+ 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters\",\n \"tests = [] for i, fun1 in enumerate(functions): for j,\",\n \"y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x),\",\n \"map_function(x) filtered = False for predicate in predicates: if isinstance(r,\",\n \"MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x\",\n \"= function(x) if isinstance(r, tuple): b = predicate(*r) # Pass\",\n \"math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0)\",\n \"testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for\",\n \"[identity, increment, increment_and_square] tests = [] for i, fun1 in\",\n \"with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"0) tests = [] filters = [take_all, is_zero, greater] identity\",\n \"MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import division\",\n \"some_tensor = math_ops.mul(a, b) function = lambda x: x *\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate)\",\n \"sess.run(b): filtered = True break if not filtered: result =\",\n \"multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):\",\n \"Pass tuple as multiple arguments. else: b = predicate(r) if\",\n \"x in range(5): r = map_function(x) filtered = False for\",\n \"[take_all, is_zero, is_odd, greater] tests = [] for x, fun\",\n \"tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x:\",\n \"in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun,\",\n \"as sess: for x in range(10): r = function(x) if\",\n \"\\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda\",\n \"r = x for function in functions: if isinstance(r, tuple):\",\n \"= [] for i, fun1 in enumerate(functions): for j, fun2\",\n \"x: x + 1 minus_five = lambda x: x -\",\n \"tests = [] for x, fun in enumerate(functions): for y,\",\n \"lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\",\",\n \"def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64)\",\n \"+ 1 return y * y functions = [identity, increment,\",\n \"tuple as multiple arguments. else: b = predicate(r) if not\",\n \"is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x:\",\n \"import division from __future__ import print_function from absl.testing import parameterized\",\n \"lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment,\",\n \"# Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x,\",\n \"predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function,\",\n \"law or agreed to in writing, software # distributed under\",\n \"def increment_and_square(x): y = x + 1 return y *\",\n \"= iterator.get_next() with self.test_session() as sess: for x in range(10):\",\n \"constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b)\",\n \"predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z,\",\n \"@staticmethod def map_functions(): identity = lambda x: x increment =\",\n \"lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64),\",\n \"enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda\",\n \"x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd =\",\n \"lambda x: math_ops.equal(x % 2, 0) greater = lambda x:\",\n \"range(5): r = map_function(x) filtered = False for predicate in\",\n \"for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1,\",\n \"x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) #\",\n \"self.test_session() as sess: for x in range(10): r = function(x)\",\n \"from __future__ import division from __future__ import print_function from absl.testing\",\n \"= iterator.get_next() with self.test_session() as sess: for x in range(5):\",\n \"fun3], )) swap = lambda x, n: (n, x) tests.append((\",\n \"x increment = lambda x: x + 1 minus_five =\",\n \"may obtain a copy of the License at # #\",\n \"import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op\",\n \"x: x increment = lambda x: x + 1 def\",\n \"= dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()\",\n \"if isinstance(r, tuple): b = predicate(*r) # Pass tuple as\",\n \"identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True)\",\n \"x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__())\",\n \"from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework\",\n \"currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply(\",\n \"x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple,\",\n \"testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"]))\",\n \"self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator =\",\n \"result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self):\",\n \"for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply(\",\n \"functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions:\",\n \"tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append(\",\n \"dtypes.int64), some_tensor) # We are currently not supporting functions with\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"= sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a\",\n \"def map_and_filter_functions(): identity = lambda x: x increment = lambda\",\n \"(x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0)))\",\n \"may not use this file except in compliance with the\",\n \"in range(10): r = function(x) if isinstance(r, tuple): b =\",\n \"r = function(x) if isinstance(r, tuple): b = predicate(*r) #\",\n \"function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity\",\n \"predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"]))\",\n \"x: x increment = lambda x: x + 1 minus_five\",\n \"x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"y = x + 1 return y * y functions\",\n \"get_next = iterator.get_next() with self.test_session() as sess: for x in\",\n \"predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity,\",\n \"filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if\",\n \"from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform\",\n \"this file except in compliance with the License. # You\",\n \"predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):\",\n \"tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap], )) return\",\n \"import absolute_import from __future__ import division from __future__ import print_function\",\n \"return y * y take_all = lambda x: constant_op.constant(True) is_zero\",\n \"dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self,\",\n \"fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i,\",\n \"(x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"predicate(r) if not sess.run(b): filtered = True break if not\",\n \"# # Licensed under the Apache License, Version 2.0 (the\",\n \"file except in compliance with the License. # You may\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"= x for function in functions: if isinstance(r, tuple): r\",\n \"is_odd = lambda x: math_ops.equal(x % 2, 0) greater =\",\n \"dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate)\",\n \"2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64),\",\n \"lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x\",\n \"# Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple]))\",\n \"y = x + 1 return y * y take_all\",\n \"optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from\",\n \"some_tensor) # We are currently not supporting functions with additional\",\n \"dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset\",\n \"in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], ))\",\n \"(x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y,\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \")) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap], ))\",\n \"return y * y functions = [identity, increment, increment_and_square] tests\",\n \"(n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], ))\",\n \"[lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x:\",\n \"self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity =\",\n \"sess.run(get_next) r = x for function in functions: if isinstance(r,\",\n \"supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\",\",\n \"predicate in predicates: if isinstance(r, tuple): b = predicate(*r) #\",\n \"functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero,\",\n \"print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from\",\n \"identity = lambda x: x increment = lambda x: x\",\n \"False for predicate in predicates: if isinstance(r, tuple): b =\",\n \"tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import\",\n \"= [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd,\",\n \"r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def\",\n \"tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import\",\n \"return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting\",\n \"function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator\",\n \"for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"]))\",\n \"enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in\",\n \"= [identity, increment, increment_and_square] tests = [] for i, fun1\",\n \"x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64),\",\n \"lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater\",\n \"range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r)\",\n \"swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset =\",\n \"tuple as multiple arguments. else: b = predicate(r) if sess.run(b):\",\n \"(\\\"Multi2\\\", lambda x: (x, 2), lambda x, y: math_ops.equal(x *\",\n \"function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()\",\n \"output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"tuple): r = function(*r) # Pass tuple as multiple arguments.\",\n \"output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y: constant_op.constant(True)))\",\n \"with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"]))\",\n \"y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x,\",\n \"constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from\",\n \"# ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import\",\n \"for x in range(5): r = map_function(x) filtered = False\",\n \"multiple arguments. else: b = predicate(r) if sess.run(b): result =\",\n \"tests = [] filters = [take_all, is_zero, greater] identity =\",\n \"greater = lambda x: math_ops.greater(x + 5, 0) tests =\",\n \"or implied. # See the License for the specific language\",\n \"arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next)\",\n \"Rights Reserved. # # Licensed under the Apache License, Version\",\n \"predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in\",\n \"in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\",\",\n \"x for function in functions: if isinstance(r, tuple): r =\",\n \"KIND, either express or implied. # See the License for\",\n \"specific language governing permissions and # limitations under the License.\",\n \"take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x,\",\n \"in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k,\",\n \"@staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero =\",\n \"= math_ops.mul(a, b) function = lambda x: x * x\",\n \"for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) #\",\n \"tuple): b = predicate(*r) # Pass tuple as multiple arguments.\",\n \"2018 The TensorFlow Authors. All Rights Reserved. # # Licensed\",\n \"a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor =\",\n \"self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x:\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset,\",\n \"(x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42),\",\n \"self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x\",\n \"else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r,\",\n \"Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\",\",\n \"dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()\",\n \"with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x:\",\n \"enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple =\",\n \"dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as\",\n \"j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append((\",\n \"(the \\\"License\\\"); # you may not use this file except\",\n \"predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda\",\n \"# you may not use this file except in compliance\",\n \"x: x - 5 def increment_and_square(x): y = x +\",\n \"y functions = [identity, increment, increment_and_square] tests = [] for\",\n \"test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda\",\n \"42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions):\",\n \"z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2,\",\n \"tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda\",\n \"take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\",\",\n \"fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3],\",\n \"= True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r,\",\n \"function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True)\",\n \"= lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y,\",\n \"# limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for the\",\n \"fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x),\",\n \"is_zero, greater] identity = lambda x: x for x, predicate_1\",\n \"x + 1 return y * y functions = [identity,\",\n \"sess: for x in range(10): r = function(x) if isinstance(r,\",\n \"filters = [take_all, is_zero, greater] identity = lambda x: x\",\n \"x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x,\",\n \"self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3,\",\n \"# # Unless required by applicable law or agreed to\",\n \"optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate)\",\n \"= predicate(r) if not sess.run(b): filtered = True break if\",\n \"increment_and_square(x): y = x + 1 return y * y\",\n \"dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next =\",\n \"result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator =\",\n \"dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates):\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"x + 1 def increment_and_square(x): y = x + 1\",\n \"============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import\",\n \"[take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda\",\n \"@parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\",\",\n \"predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as\",\n \"2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return\",\n \"enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate))\",\n \"the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import\",\n \"as sess: for x in range(5): r = map_function(x) filtered\",\n \"# Copyright 2018 The TensorFlow Authors. All Rights Reserved. #\",\n \"Copyright 2018 The TensorFlow Authors. All Rights Reserved. # #\",\n \"__future__ import absolute_import from __future__ import division from __future__ import\",\n \"x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5,\",\n \"sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment\",\n \"implied. # See the License for the specific language governing\",\n \"inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function,\",\n \"map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"= dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def\",\n \"[fun1, fun2, fun3], )) swap = lambda x, n: (n,\",\n \"with self.test_session() as sess: for x in range(10): r =\",\n \"* x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We\",\n \"0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset\",\n \"+ 1 minus_five = lambda x: x - 5 def\",\n \"functions = [identity, increment, increment_and_square] tests = [] for i,\",\n \"by applicable law or agreed to in writing, software #\",\n \"return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply(\",\n \"x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2,\",\n \"lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x +\",\n \"for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2],\",\n \"tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result)\",\n \"0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset =\",\n \"= lambda x: x + 1 minus_five = lambda x:\",\n \"= lambda x: math_ops.greater(x + 5, 0) functions = [identity,\",\n \"in range(5): r = map_function(x) filtered = False for predicate\",\n \"if not sess.run(b): filtered = True break if not filtered:\",\n \"= dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next =\",\n \"r = map_function(x) filtered = False for predicate in predicates:\",\n \"5, 0) functions = [identity, increment, minus_five, increment_and_square] filters =\",\n \"predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y),\",\n \"function = lambda x: x * x def predicate(y): return\",\n \"tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap =\",\n \"x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append((\",\n \"\\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda\",\n \"1 return y * y take_all = lambda x: constant_op.constant(True)\",\n \"import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes\",\n \"in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3\",\n \"0) greater = lambda x: math_ops.greater(x + 5, 0) tests\",\n \"y * y take_all = lambda x: constant_op.constant(True) is_zero =\",\n \"42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap,\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"fun2], )) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j,\",\n \"0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater\",\n \"Unless required by applicable law or agreed to in writing,\",\n \"= [] filters = [take_all, is_zero, greater] identity = lambda\",\n \"lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return\",\n \"x + 1 minus_five = lambda x: x - 5\",\n \"limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion\",\n \"# We are currently not supporting functions with additional inputs.\",\n \"the specific language governing permissions and # limitations under the\",\n \"greater] tests = [] for x, fun in enumerate(functions): for\",\n \"for x in range(10): r = function(x) if isinstance(r, tuple):\",\n \"* y functions = [identity, increment, increment_and_square] tests = []\",\n \"tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import\",\n \"from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase,\",\n \"[identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater]\",\n \"applicable law or agreed to in writing, software # distributed\",\n \"dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from\",\n \"map_and_filter_functions(): identity = lambda x: x increment = lambda x:\",\n \"increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions):\",\n \"are currently not supporting functions with additional inputs. dataset =\",\n \"math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x +\",\n \"lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y,\",\n \"from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops\",\n \"x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2),\",\n \"_testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()\",\n \"in writing, software # distributed under the License is distributed\",\n \"not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next(\",\n \"return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply(\",\n \"self.test_session() as sess: for x in range(5): result = sess.run(get_next)\",\n \"x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x,\",\n \"else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod\",\n \"predicate(*r) # Pass tuple as multiple arguments. else: b =\",\n \"= dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next\",\n \"predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output\",\n \"= lambda x: x for x, predicate_1 in enumerate(filters): for\",\n \")) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply(\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"increment = lambda x: x + 1 def increment_and_square(x): y\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class\",\n \"= function(*r) # Pass tuple as multiple arguments. else: r\",\n \"= [take_all, is_zero, greater] identity = lambda x: x for\",\n \"is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x:\",\n \"# You may obtain a copy of the License at\",\n \"for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__\",\n \"True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result)\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import\",\n \"Authors. All Rights Reserved. # # Licensed under the Apache\",\n \"sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ == \\\"__main__\\\":\",\n \"increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = []\",\n \"* y take_all = lambda x: constant_op.constant(True) is_zero = lambda\",\n \"lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2),\",\n \")) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k),\",\n \"import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors\",\n \"import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod\",\n \"b = predicate(r) if not sess.run(b): filtered = True break\",\n \"fun2, fun3], )) swap = lambda x, n: (n, x)\",\n \"the License for the specific language governing permissions and #\",\n \"= constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a,\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x,\",\n \"# Pass tuple as multiple arguments. else: r = function(r)\",\n \"either express or implied. # See the License for the\",\n \"if isinstance(r, tuple): r = function(*r) # Pass tuple as\",\n \"import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset =\",\n \"tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda x, y:\",\n \"y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for\",\n \"def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function)\",\n \"def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda\",\n \"@parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for\",\n \"x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five,\",\n \"for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1,\",\n \"def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function\",\n \"sess: for x in range(5): result = sess.run(get_next) r =\",\n \"= lambda x: x + 1 def increment_and_square(x): y =\",\n \"__future__ import division from __future__ import print_function from absl.testing import\",\n \"function(*r) # Pass tuple as multiple arguments. else: r =\",\n \"x + 1 return y * y take_all = lambda\",\n \"x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda\",\n \"function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple\",\n \"x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor)\",\n \"lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests)\",\n \"+ 1 def increment_and_square(x): y = x + 1 return\",\n \"predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple\",\n \"increment_and_square] tests = [] for i, fun1 in enumerate(functions): for\",\n \"lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x,\",\n \"y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi\",\n \"b) function = lambda x: x * x def predicate(y):\",\n \"identity = lambda x: x for x, predicate_1 in enumerate(filters):\",\n \"arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)\",\n \"% 2, 0) greater = lambda x: math_ops.greater(x + 5,\",\n \"math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate):\",\n \"math_ops.greater(x + 5, 0) tests = [] filters = [take_all,\",\n \"dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates:\",\n \"dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next\",\n \"class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x:\",\n \"self.test_session() as sess: for x in range(5): r = map_function(x)\",\n \"functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply(\",\n \"def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next =\",\n \"iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess:\",\n \"in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass\",\n \"\\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all =\",\n \"\\\"License\\\"); # you may not use this file except in\",\n \"\\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function) dataset =\",\n \"<filename>tensorflow/contrib/data/python/kernel_tests/optimization/map_and_filter_fusion_test.py # Copyright 2018 The TensorFlow Authors. All Rights Reserved.\",\n \"[take_all, is_zero, greater] identity = lambda x: x for x,\",\n \"= lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently\",\n \"tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x:\",\n \"dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset =\",\n \"as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with\",\n \"# distributed under the License is distributed on an \\\"AS\",\n \"tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase):\",\n \"# Unless required by applicable law or agreed to in\",\n \"and # limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for\",\n \"range(5): result = sess.run(get_next) r = x for function in\",\n \"predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi\",\n \"swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap],\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y,\",\n \"math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions\",\n \"lambda x: math_ops.greater(x + 5, 0) tests = [] filters\",\n \"else: b = predicate(r) if not sess.run(b): filtered = True\",\n \"minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests =\",\n \"You may obtain a copy of the License at #\",\n \"result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda\",\n \"x in range(5): result = sess.run(get_next) r = x for\",\n \"x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are\",\n \"dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset\",\n \"y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x,\",\n \"optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import division from\",\n \"k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2,\",\n \"dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with\",\n \"from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops\",\n \"[] for x, fun in enumerate(functions): for y, predicate in\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator\",\n \"x in range(10): r = function(x) if isinstance(r, tuple): b\",\n \"filters = [take_all, is_zero, is_odd, greater] tests = [] for\",\n \"function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset,\"\n]","isConversational":false}}},{"rowIdx":793,"cells":{"ngram":{"kind":"list like","value":["function if one exists. \"\"\" def __init__(self): self.channel = None","self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode","0 self.distance_y = 0 if self.finish_state: # In finished all","data self.operation = \"blob\" self._cutcode = None self._cut = None","def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname)","= False self.compact_state = False self.paused_state = False self.distance_x =","self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on","p is None: return from_x, from_y, to_x, to_y = p","def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel,","def pos(p): if p is None: return x0, y0, x1,","= None self.board = \"M2\" self.header_skipped = False self.count_lines =","None or self._cut is None: new_cut() return from_x, from_y, to_x,","True if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser =","if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount","+= self.raster_step elif self.mode == 0: # Homes then moves","self.top and not self.horizontal_major: # Was R switched to L","saved .egv files which include a default header. \"\"\" if","\"power\": 1000.0}) self.speed_code = None self.x = 0.0 self.y =","in compact state executes distances. self.execute_distance() if c == \"|\":","self.channel(\"Left\") elif c == \"R\": # Move to Bottom if","return data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\"","= False self.finish_state = False self.horizontal_major = False self.fix_speeds =","self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x","0, 0)) self.x = 0 self.y = 0 self.distance_y =","if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position =","def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state","self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left","oy = self.y self.x += dx self.y += dy if","now at %d %d\" % (dx, dy, self.x, self.y)) def","parses LHYMicro-GL code with a state diagram. This should accurately","os basename = os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch","\"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context = self.context","ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \"\"","= self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value)","within the same packet. if self.position: self.position((self.x, self.y, 0, 0))","\"R\": # Move to Bottom if self.top and not self.horizontal_major:","count_flag >= 5: return data[i:] def header_write(self, data): \"\"\" Write","and self.horizontal_major: # Was T switched to B with horizontal","= self.x oy = self.y self.x += dx self.y +=","= True self.paused_state = False else: self.execute_distance() # distance is","\"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines =","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel =","if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on =","if not self.top and not self.horizontal_major: # Was R switched","self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b","elif c == \"D\": self.laser = 1 if self.channel: self.channel(\"Laser","EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data","False else: self.execute_distance() # distance is executed by a P","count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \"Engrave","# Move to Top if not self.top and not self.horizontal_major:","to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step","\"Bottom\" b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s","elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False","self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if","__init__(self): self.channel = None self.position = None self.board = \"M2\"","if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x),","3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value)","self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x","self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0","True elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished =","self.left = True self.x_on = True self.y_on = False if","self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser","== \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed","ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\"))","self._cutcode = None return cutcode def generate(self): yield \"blob\", \"egv\",","Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import","self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value = \"\"","if self.channel: a = \"Top\" if self.top else \"Bottom\" b","the same packet. # This should resume if not located","bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode","2: # Rail unlocked. self.compact_state = True self.returning_finished = False","def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","= \"\" self.distance_x = 0 self.distance_y = 0 self.filename =","+= dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel:","with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top =","self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\"","= True elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished","RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from","self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value)","3: if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value","\"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c","1: if self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode","= False elif c == \"z\": self.append_distance(26 if self.small_jump else","(%d %d) now at %d %d\" % (dx, dy, self.x,","LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if","= 0 self.distance_y = 0 self.filename = \"\" self.laser =","b = data[i] c = chr(b) if c == \"\\n\":","b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value +=","if self.left and self.horizontal_major: # Was T switched to B","self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def","L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top","meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def","self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or","self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\": if","send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser","if self.position: self.position(None) elif c == \"M\": self.x_on = True","yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname,","self.paused_state = True elif c == \"N\": if self.channel: self.channel(\"N\")","% self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer =","elif c == \"E\": if self.channel: self.channel(\"Execute State\") if self.mode","3: if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value","1: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value","Left if not self.left and self.horizontal_major: # Was T switched","(a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name","!= 0: dx = self.distance_x dy = self.distance_y if self.left:","== \"T\": # Move to Left if not self.left and","= False self.top = False self.x_on = False self.y_on =","self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >=","import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module","= 0 if self.finish_state: # In finished all commands are","self.top = False self.x_on = False self.y_on = False self.small_jump","def position(p): if p is None: return from_x, from_y, to_x,","__init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser","a P command self.paused_state = True elif c == \"N\":","send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a","\"E\": if self.channel: self.channel(\"Execute State\") if self.mode is None: if","= \"Top\" if self.top else \"Bottom\" b = \"Left\" if","self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value","op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\", name=basename, )","== \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state:","self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state","Write data to the emulator including the header. This is","= False self.paused_state = False self.distance_x = 0 self.distance_y =","holed return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return","with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left =","Was T switched to B with horizontal rastering. if self.raster_step:","if self.top: dy = -dy self.distance_x = 0 self.distance_y =","from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module):","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2","if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self,","= False if self.position: self.position(None) elif c == \"M\": self.x_on","distance is executed by an N command. self.laser = 0","# Move to Right. if self.left and self.horizontal_major: # Was","if p is None: return x0, y0, x1, y1 =","default header. \"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data)","LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\",","def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut)","self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False","= context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context","False self.finish_state = False self.horizontal_major = False self.fix_speeds = False","= -dy self.distance_x = 0 self.distance_y = 0 ox =","None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state =","self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if","= self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser:","self.channel(\"Execute State\") if self.mode is None: if self.returning_compact: self.compact_state =","horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False","@staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def","to Left if not self.left and self.horizontal_major: # Was T","the emulator including the header. This is intended for saved","1 elif c == \"%\": count_flag += 1 if count_lines","self.distance_x dy = self.distance_y if self.left: dx = -dx if","data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if","self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self):","= 0 self.distance_y = 0 ox = self.x oy =","if self.mode is None: if self.returning_compact: self.compact_state = True if","= self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif","3: if self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step","self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if","self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p","= Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x =","= \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\" %","Was L switched to R with vertical rastering. if self.raster_step:","self.channel: self.channel(\"Execute State\") if self.mode is None: if self.returning_compact: self.compact_state","finished all commands are black holed return if ord(\"0\") <=","\"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob: def","self.small_jump else 255) self.small_jump = False elif c == \"B\":","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c):","self.y self.x += dx self.y += dy if self.position: self.position((ox,","active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with","self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self):","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\"","c == \"B\": # Move to Right. if self.left and","rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on","elif c == \"B\": # Move to Right. if self.left","from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel","False elif c == \"B\": # Move to Right. if","from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) ==","0: # Homes then moves position. pass elif self.mode ==","self.y_on = True if self.channel: self.channel(\"Bottom\") elif c == \"L\":","self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0","c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact","h=\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked.","distance is executed by a P command self.paused_state = True","self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d)","= LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data):","\"B\": # Move to Right. if self.left and self.horizontal_major: #","data[i:] def header_write(self, data): \"\"\" Write data to the emulator","self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer","send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active =","distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump = True","f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\", name=basename,","packet. # This should resume if not located within the","self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p","self.x_on = False self.y_on = False self.small_jump = False self.returning_compact","0 self.left = False self.top = False self.x_on = False","self.channel: self.channel(\"Top\") elif c == \"U\": self.laser = 0 if","self._cutcode self._cut = None self._cutcode = None return cutcode def","P command self.paused_state = True elif c == \"N\": if","True self.paused_state = False else: self.execute_distance() # distance is executed","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 = %s\"","switched to B with horizontal rastering. if self.raster_step: self.distance_y +=","= False self.y_on = True if self.raster_step: self.distance_x += self.raster_step","name self.data = data self.operation = \"blob\" self._cutcode = None","self.distance_consumer self.number_value = \"\" if self.compact_state: # Every command in","b1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","= %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\"","self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\"","0: dx = self.distance_x dy = self.distance_y if self.left: dx","!= 0 def new_file(self): self.header_skipped = False self.count_flag = 0","\"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True","self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >=","False self.compact_state = False self.paused_state = False self.distance_x = 0","self.number_value = \"\" self.distance_x = 0 self.distance_y = 0 self.filename","if c == \"\\n\": count_lines += 1 elif c ==","This should accurately reconstruct the values. When the position is","= \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value +=","c == \"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\")","self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move to Top","if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\":","self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is None: return","self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\":","self.distance_y != 0: dx = self.distance_x dy = self.distance_y if","def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active","self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value =","switched to L with vertical rastering. if self.raster_step: self.distance_x +=","default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0)","switched to R with vertical rastering. if self.raster_step: self.distance_x +=","= {} def parse(self, data, elements): self.path = Numpath() def","self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if","== \"M\": self.x_on = True self.y_on = True if self.channel:","self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif c","self.x_on = False self.y_on = True if self.channel: self.channel(\"Top\") elif","exists. \"\"\" def __init__(self): self.channel = None self.position = None","0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None","return data[i:] def header_write(self, data): \"\"\" Write data to the","self.x_on = True self.y_on = False if self.channel: self.channel(\"Right\") elif","is changed it calls a self.position() function if one exists.","= LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut():","if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser)","= True self.y_on = True if self.channel: a = \"Top\"","= \"\" if self.compact_state: # Every command in compact state","elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self):","= self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value)","\"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer","chr(b) if c == \"\\n\": count_lines += 1 elif c","c == \"I\": self.finish_state = False self.compact_state = False self.paused_state","return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped = False","if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value =","not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings =","self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position =","c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished","if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by an","\"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0","== \"R\": # Move to Bottom if self.top and not","self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value = \"\"","Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact =","self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis:","data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c):","program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property","self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y =","new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0","chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >=","Was R switched to L with vertical rastering. if self.raster_step:","= True if self.channel: a = \"Top\" if self.top else","3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value)","if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value","if p is None or self._cut is None: new_cut() return","elif c == \"%\": count_flag += 1 if count_lines >=","if self.top else \"Bottom\" b = \"Left\" if self.left else","self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def","load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier,","= 0 self.distance_y = 0 if self.finish_state: # In finished","\"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b <=","= 0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y =","= False elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code","self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send","False elif c == \"z\": self.append_distance(26 if self.small_jump else 255)","False self.y_on = True if self.channel: self.channel(\"Bottom\") elif c ==","by a P command self.paused_state = True elif c ==","= context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses","False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\"speed\":","self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >=","accurately reconstruct the values. When the position is changed it","os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\")","range(len(data)): b = data[i] c = chr(b) if c ==","False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {}","new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode:","= pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self,","0)) self.x = 0 self.y = 0 self.distance_y = 0","c == \"M\": self.x_on = True self.y_on = True if","position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, )","self.laser = 0 if self.paused_state: # Home sequence triggered by","self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode == 2: #","speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0","= True elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance()","self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args,","\"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c","ord(\"a\")) self.small_jump = False elif c == \"z\": self.append_distance(26 if","# distance is executed by an N command. self.laser =","<= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value =","self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True","return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else:","State\") if self.mode is None: if self.returning_compact: self.compact_state = True","count_lines += 1 elif c == \"%\": count_flag += 1","3 and count_flag >= 5: return data[i:] @staticmethod def load_types():","== \"B\": # Move to Right. if self.left and self.horizontal_major:","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio","self.finish_state: # In finished all commands are black holed return","if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel = %s\"","= 0 self.finish_state = True self.paused_state = False else: self.execute_distance()","== \"L\": # Move to Top if not self.top and","c == \"T\": # Move to Left if not self.left","not self.left and self.horizontal_major: # Was T switched to B","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer","int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c):","== \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b","self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self,","as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\",","= False self.number_consumer = {} def parse(self, data, elements): self.path","def position(p): if p is None or self._cut is None:","elif c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser =",">= 3: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value)","path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser()","\"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a,","self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if","self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if self.channel:","cutcode = self._cutcode self._cut = None self._cutcode = None return","self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x","if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut =","len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut","False if self.channel: self.channel(\"Left\") elif c == \"R\": # Move","self.top = not self.top self.x_on = False self.y_on = True","False self.returning_finished = True elif c == \"@\": if self.channel:","self.horizontal_major: # Was R switched to L with vertical rastering.","speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut","if count_lines >= 3 and count_flag >= 5: return data[i:]",">= 1: if self.channel: self.channel(\"Set Mode = %s\" % self.number_value)","self.y = 0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y","self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x","= False self.distance_x = 0 self.distance_y = 0 if self.finish_state:","elements): self.path = Numpath() def position(p): if p is None:","raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped =","None: return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0,","if self.paused_state: # Home sequence triggered by 2 P commands","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2 =","This should resume if not located within the same packet.","+ 1 - ord(\"a\")) self.small_jump = False elif c ==","self.channel: a = \"Top\" if self.top else \"Bottom\" b =","def header_write(self, data): \"\"\" Write data to the emulator including","3 and count_flag >= 5: return data[i:] def header_write(self, data):","False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data):","commands are black holed return if ord(\"0\") <= b <=","and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def","self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step","self.channel(\"Right\") elif c == \"T\": # Move to Left if","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def","\"\\n\": count_lines += 1 elif c == \"%\": count_flag +=","\"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def","elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property","# Was T switched to B with horizontal rastering. if","\"\" self.laser = 0 self.left = False self.top = False","= not self.left self.x_on = True self.y_on = False if","None self.board = \"M2\" self.header_skipped = False self.count_lines = 0","self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by an N","def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","is None: return from_x, from_y, to_x, to_y = p if","When the position is changed it calls a self.position() function","self._cut = None self._cutcode = None return cutcode def generate(self):","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1 =","%s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer","def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) !=","self.number_value = \"\" if self.compact_state: # Every command in compact","Dratio b2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","def __init__(self, data: bytearray, name=None): self.name = name self.data =","= 0 self.compact_state = False if self.position: self.position(None) elif c","= 0 self.paused_state = False self.compact_state = False self.finish_state =","self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if","def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state","self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def","self.y)) def process(self, b, c): if c == \"I\": self.finish_state","if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\":","self.distance_x = 0 self.finish_state = True self.paused_state = False else:","On\") elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact =","= 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines =","c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0","self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >=","False if self.channel: self.channel(\"Right\") elif c == \"T\": # Move","self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x +=","(self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode()","False if self.raster_step: self.distance_y += self.raster_step else: # vertical major","self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value = \"\"","def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False)","in range(len(data)): b = data[i] c = chr(b) if c","located within the same packet. if self.position: self.position((self.x, self.y, 0,","False self.paused_state = False self.distance_x = 0 self.distance_y = 0","0 self.distance_x = 0 self.finish_state = True self.paused_state = False","self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31])","False self.x_on = False self.y_on = False self.small_jump = False","data, elements): self.path = Numpath() def position(p): if p is","changed it calls a self.position() function if one exists. \"\"\"","% self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self,","Set\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer =","= position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode","False self.number_consumer = {} def parse(self, data, elements): self.path =","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer","vertical major self.top = not self.top self.x_on = False self.y_on","Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\": if self.channel:","all commands are black holed return if ord(\"0\") <= b","basename = os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch =","= p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y),","for saved .egv files which include a default header. \"\"\"","by an N command. self.laser = 0 self.compact_state = False","self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif c in","self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False","calls a self.position() function if one exists. \"\"\" def __init__(self):","not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0",">= 3 and count_flag >= 5: return data[i:] @staticmethod def","self.x, self.y)) def process(self, b, c): if c == \"I\":","major self.top = not self.top self.x_on = False self.y_on =","= 0 self.left = False self.top = False self.x_on =","if self.channel: self.channel(\"Moving (%d %d) now at %d %d\" %","= \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on:","position(p): if p is None or self._cut is None: new_cut()","LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for","is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state","0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y = 0","0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return","= \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value +=","len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step = %s\" %","self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer","self.channel(\"Bottom\") elif c == \"L\": # Move to Top if","__init__(self, data: bytearray, name=None): self.name = name self.data = data","= None self.number_consumer = self.mode_consumer elif c == \"E\": if","self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if","self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c):","\"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer","position is changed it calls a self.position() function if one","= self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is","elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0","not self.top self.x_on = False self.y_on = True if self.raster_step:","self.y_on = True if self.channel: a = \"Top\" if self.top","= elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\", name=basename, ) return","= position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings,","is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings","%s %s\" % (a, b)) class EGVBlob: def __init__(self, data:","self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements):","execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx","Every command in compact state executes distances. self.execute_distance() if c","parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None","if self.channel: self.channel(\"Execute State\") if self.mode is None: if self.returning_compact:","def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","= None self.raster_step = 0 self.paused_state = False self.compact_state =","c == \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump =","= self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value)","speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if","True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1","self.channel: self.channel(\"Right\") elif c == \"T\": # Move to Left","b2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster","True elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() #","self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer","self.channel(\"Laser On\") elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact","data[i] c = chr(b) if c == \"\\n\": count_lines +=","= False self.fix_speeds = False self.number_consumer = {} def parse(self,","= p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y))","self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y","= \"\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value)","self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state","RawCut() def new_cut(): if self._cut is not None and len(self._cut):","self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if","if self.distance_x != 0 or self.distance_y != 0: dx =","Top if not self.top and not self.horizontal_major: # Was R","+= amount def execute_distance(self): if self.distance_x != 0 or self.distance_y","int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode =","P commands in the same packet. # This should resume","self.x_on = False self.y_on = True if self.raster_step: self.distance_x +=","None self.number_consumer = self.mode_consumer elif c == \"E\": if self.channel:","self.horizontal_major: self.left = not self.left self.x_on = True self.y_on =","== 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel:","not self.horizontal_major: # Was R switched to L with vertical","amount def execute_distance(self): if self.distance_x != 0 or self.distance_y !=","b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name =","import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color","True if self.horizontal_major: self.left = not self.left self.x_on = True","self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif","if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home","self.compact_state: # Every command in compact state executes distances. self.execute_distance()","executed by a P command self.paused_state = True elif c","self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer","Move to Bottom if self.top and not self.horizontal_major: # Was","self.returning_finished = False self.returning_compact = False elif c in \"C\":","self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class","= self.y self.x += dx self.y += dy if self.position:","= None def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name,","should accurately reconstruct the values. When the position is changed","# Move to Bottom if self.top and not self.horizontal_major: #","LHYMicro-GL code with a state diagram. This should accurately reconstruct","self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","= True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b +","= data[i] c = chr(b) if c == \"\\n\": count_lines","+= dx self.y += dy if self.position: self.position((ox, oy, self.x,","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def","self.name = name self.data = data self.operation = \"blob\" self._cutcode","self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode = int(self.number_value)",">= 3 and count_flag >= 5: return data[i:] def header_write(self,","# Move to Left if not self.left and self.horizontal_major: #","position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major","-dx if self.top: dy = -dy self.distance_x = 0 self.distance_y","self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value","= %s\" % self.number_value) self.mode = int(self.number_value) self.number_value = \"\"","= self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode Set\")","executes distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump =","new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut","parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y),","R switched to L with vertical rastering. if self.raster_step: self.distance_x","@staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename =","\"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by","self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif c","y0, x1, y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\"","Bottom if self.top and not self.horizontal_major: # Was L switched","True self.x_on = False self.y_on = True if self.channel: self.channel(\"Top\")","self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser = 1","self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1","elif c == \"U\": self.laser = 0 if self.channel: self.channel(\"Laser","\"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode","data to the emulator including the header. This is intended","B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left","elif self.mode == 2: # Rail unlocked. self.compact_state = True","self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif c ==","self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c ==","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self,","c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer","self.raster_step elif self.mode == 0: # Homes then moves position.","= False self.count_flag = 0 self.count_lines = 0 @staticmethod def","self.small_jump = False elif c == \"z\": self.append_distance(26 if self.small_jump","2 P commands in the same packet. # This should","= True self.x_on = False self.y_on = True if self.channel:","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c):","int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount):","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer","self._cut = None def __repr__(self): return \"EGV(%s, %d bytes)\" %","x1, y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" %","False self.distance_x = 0 self.distance_y = 0 if self.finish_state: #","write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self,","self.laser = 0 self.left = False self.top = False self.x_on","= True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\"","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self,","= 0.0 self.y = 0.0 self.number_value = \"\" self.distance_x =","if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c ==","= True if self.horizontal_major: self.left = not self.left self.x_on =","Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","\"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\",","EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0","= \"\" self.laser = 0 self.left = False self.top =","if self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step =","if self.top and not self.horizontal_major: # Was L switched to","resume if not located within the same packet. if self.position:","False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\")","0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0","= True self.returning_finished = False self.returning_compact = True self.laser =","self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value","self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b <= ord(\"y\"):","if self.compact_state: # Every command in compact state executes distances.","= False self.y_on = False self.small_jump = False self.returning_compact =","0 self.finish_state = True self.paused_state = False else: self.execute_distance() #","class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag =","self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet)","files which include a default header. \"\"\" if self.header_skipped: self.write(data)","self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now","self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value =","self.raster_step self.left = False self.x_on = True self.y_on = False","self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on))","len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c):","= False self.returning_finished = True elif c == \"@\": if","self.distance_x = 0 self.distance_y = 0 ox = self.x oy","def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut =","self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump = True elif","self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings","self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True","dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y))","{} def parse(self, data, elements): self.path = Numpath() def position(p):","= 0 if self.paused_state: # Home sequence triggered by 2","self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes","== \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact =","*args, **kwargs): context = self.context active = self.context.root.active send =","= False self.small_jump = False self.returning_compact = True self.returning_finished =","elif self.mode == 0: # Homes then moves position. pass","c): if c == \"I\": self.finish_state = False self.compact_state =","command self.paused_state = True elif c == \"N\": if self.channel:","complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\",","+ str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state","= None self._cutcode = None return cutcode def generate(self): yield","for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value","\"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c","elif c == \"M\": self.x_on = True self.y_on = True","if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x !=","__repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self):","same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x =","= RawCut() def new_cut(): if self._cut is not None and","%d) now at %d %d\" % (dx, dy, self.x, self.y))","if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif","== \"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance()","self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code","False elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code =","meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units","return self.compact_state @property def default_mode(self): return not self.compact_state @property def","\"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x","True self.y_on = True if self.channel: a = \"Top\" if","= False if self.raster_step: self.distance_y += self.raster_step else: # vertical","@property def program_mode(self): return self.compact_state @property def default_mode(self): return not","int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position","data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self,","self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"),","= 0 elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser","unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True","packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0","# In finished all commands are black holed return if","c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def","self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major:","context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context =","self.distance_y = 0 self.filename = \"\" self.laser = 0 self.left","= 0 if self.channel: self.channel(\"Laser Off\") elif c == \"D\":","0 self.distance_y = 0 self.filename = \"\" self.laser = 0","= p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos","5: return data[i:] def header_write(self, data): \"\"\" Write data to","= False else: self.execute_distance() # distance is executed by a","p is None: return x0, y0, x1, y1 = p","self.number_consumer = self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c):","not self.left self.x_on = True self.y_on = False if self.raster_step:","self.returning_finished = False self.returning_compact = True self.laser = 0 elif","B1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","(x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return","new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut =","self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut()","meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self,","the header. This is intended for saved .egv files which","c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel =","+= self.raster_step self.left = True self.x_on = True self.y_on =","self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False elif c","if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on =","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 =","y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name","+= 1 if count_lines >= 3 and count_flag >= 5:","data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod","append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y","if c == \"I\": self.finish_state = False self.compact_state = False","= True self.x_on = True self.y_on = False if self.channel:","\"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel =","self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self):","else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def","\"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs):","self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value += c","mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if","c in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer","= self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value)","\"\" elif c in \"V\": self.raster_step = None if self.channel:","is None or self._cut is None: new_cut() return from_x, from_y,","False self.y_on = True if self.channel: self.channel(\"Top\") elif c ==","should resume if not located within the same packet. if","intended for saved .egv files which include a default header.","Step = %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value =","if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on =","else: # vertical major self.top = not self.top self.x_on =","False self.y_on = False self.small_jump = False self.returning_compact = True","False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif","if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer","LihuiyuParser parses LHYMicro-GL code with a state diagram. This should","# vertical major self.top = not self.top self.x_on = False","c = chr(b) if c == \"\\n\": count_lines += 1","context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL","None self.x = 0.0 self.y = 0.0 self.number_value = \"\"","= \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value +=","True self.returning_finished = False self.returning_compact = True self.laser = 0","if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self,","def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def","yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines","= name self.data = data self.operation = \"blob\" self._cutcode =","self._cut = RawCut() def new_cut(): if self._cut is not None","and count_flag >= 5: return data[i:] def header_write(self, data): \"\"\"","self.y)) if self.channel: self.channel(\"Moving (%d %d) now at %d %d\"","+= self.raster_step else: # vertical major self.top = not self.top","self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In","= False self.returning_compact = True self.laser = 0 elif c","= None self.x = 0.0 self.y = 0.0 self.number_value =","= False self.y_on = True if self.channel: self.channel(\"Top\") elif c","True self.x_on = True self.y_on = False if self.channel: self.channel(\"Left\")","= LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p):","if self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode =","to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x),","**kwargs): context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\"","False if self.position: self.position(None) elif c == \"M\": self.x_on =","self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished","one exists. \"\"\" def __init__(self): self.channel = None self.position =","== \"E\": if self.channel: self.channel(\"Execute State\") if self.mode is None:","0 if self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser","False self.top = False self.x_on = False self.y_on = False","elif c == \"T\": # Move to Left if not","b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump =","meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import","False self.compact_state = False self.finish_state = False self.horizontal_major = False","elif c in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\")","pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \"rb\")","= 1 if self.channel: self.channel(\"Laser On\") elif c == \"F\":","self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state","self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value","def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","= \"\" elif c in \"V\": self.raster_step = None if","= 0 self.distance_y = 0 self.distance_x = 0 self.finish_state =","rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on","= self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value)","if c == \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\")","%s\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray,","True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left =","speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position","self.x_on = True self.y_on = False if self.raster_step: self.distance_y +=","+= amount if self.y_on: self.distance_y += amount def execute_distance(self): if","= os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch","self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0,","== \"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\") elif","if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on =","UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from","= self.context.channel(\"lhy\") def pos(p): if p is None: return x0,","executed by an N command. self.laser = 0 self.compact_state =","count_flag = 0 for i in range(len(data)): b = data[i]","including the header. This is intended for saved .egv files","False self.returning_compact = False elif c in \"C\": if self.channel:","self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if","self.distance_x += self.raster_step elif self.mode == 0: # Homes then","= False self.returning_compact = True self.returning_finished = False self.mode =","open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())),","elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on","type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def","= True self.returning_finished = False self.mode = None self.raster_step =","emulator including the header. This is intended for saved .egv","then moves position. pass elif self.mode == 1: self.compact_state =","= self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self,","meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import","Move to Top if not self.top and not self.horizontal_major: #","True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\" +","<reponame>jpirnay/meerk40t<gh_stars>0 from meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters","= True self.y_on = False if self.channel: self.channel(\"Right\") elif c","from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x,","c == \"%\": count_flag += 1 if count_lines >= 3","!= 0 or self.distance_y != 0: dx = self.distance_x dy",") elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property def","if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode ==","self.laser = 0 elif c == \"P\": if self.channel: self.channel(\"Pause\")","= False self.x_on = False self.y_on = True if self.channel:","stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state","is executed by a P command self.paused_state = True elif","== 0: # Homes then moves position. pass elif self.mode","if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode = %s\"","packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b,","def process(self, b, c): if c == \"I\": self.finish_state =","ox = self.x oy = self.y self.x += dx self.y","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def","y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1))","Numpath() def position(p): if p is None: return from_x, from_y,","self.paused_state: # Home sequence triggered by 2 P commands in","if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value","parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data)",">= 3: if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value)","RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None","rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on","\"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename","= None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c","which include a default header. \"\"\" if self.header_skipped: self.write(data) else:","values. When the position is changed it calls a self.position()","import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self,","\"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0","False self.x_on = True self.y_on = False if self.channel: self.channel(\"Right\")","\"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c","= None self._cut = None def __repr__(self): return \"EGV(%s, %d","__repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context",">= 3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" %","return from_x, from_y, to_x, to_y = p if parser.program_mode: if",">= 1: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value)","Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class","% self.name def initialize(self, *args, **kwargs): context = self.context active","== 2: # Rail unlocked. self.compact_state = True self.returning_finished =","0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0})","is None: new_cut() return from_x, from_y, to_x, to_y = p","self.channel(\"Set Mode = %s\" % self.number_value) self.mode = int(self.number_value) self.number_value","if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on","self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode","p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos def","= \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value +=","0 self.paused_state = False self.compact_state = False self.finish_state = False","x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position","self.distance_y = 0 ox = self.x oy = self.y self.x","self.distance_x = 0 self.distance_y = 0 self.filename = \"\" self.laser","True self.laser = 0 elif c == \"P\": if self.channel:","= True self.y_on = False if self.channel: self.channel(\"Left\") elif c","self.left = not self.left self.x_on = True self.y_on = False","LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a state diagram.","1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting","self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute State\") if","Dratio b1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","**self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property","self.horizontal_major: # Was T switched to B with horizontal rastering.","pos(p): if p is None: return x0, y0, x1, y1","self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state","data: bytearray, name=None): self.name = name self.data = data self.operation","= self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value)","== \"\\n\": count_lines += 1 elif c == \"%\": count_flag","self.mode = None self.number_consumer = self.mode_consumer elif c == \"E\":","speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def","return else: self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state:","self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value","def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1:","self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode = None","if one exists. \"\"\" def __init__(self): self.channel = None self.position","self.operation = \"blob\" self._cutcode = None self._cut = None def",">= 3: if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value)","self.raster_step self.top = True self.x_on = False self.y_on = True","= self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step Value\")","if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif","+= self.raster_step self.left = False self.x_on = True self.y_on =","3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value +=","active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active","self.number_consumer = self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode","self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished:","1 - ord(\"a\")) self.small_jump = False elif c == \"z\":","= 0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\":","to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0:","= 0 self.y = 0 self.distance_y = 0 self.distance_x =","from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot)","= RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is","b, c): if c == \"I\": self.finish_state = False self.compact_state","active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def","self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >=","self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if","meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import","None: return from_x, from_y, to_x, to_y = p if self.program_mode:","self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value = \"\"","== \"%\": count_flag += 1 if count_lines >= 3 and",">= 3: if self.channel: self.channel(\"Raster Step = %s\" % self.number_value)","position(p): if p is None: return from_x, from_y, to_x, to_y","= \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value +=","+= 1 elif c == \"%\": count_flag += 1 if","def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on:","= None self.position = None self.board = \"M2\" self.header_skipped =","write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data:","in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif","self.path = Numpath() def position(p): if p is None: return","if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data)","c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode =","dx = -dx if self.top: dy = -dy self.distance_x =","% self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer =","c == \"R\": # Move to Bottom if self.top and","self._cut is None: new_cut() return from_x, from_y, to_x, to_y =","self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on","self.name def initialize(self, *args, **kwargs): context = self.context active =","True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else:","the position is changed it calls a self.position() function if","self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y","None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in","load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with","path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds","x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1,","self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home sequence triggered","ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer =","self.top: dy = -dy self.distance_x = 0 self.distance_y = 0","= chr(b) if c == \"\\n\": count_lines += 1 elif","at %d %d\" % (dx, dy, self.x, self.y)) def process(self,","= False self.returning_compact = False elif c in \"C\": if","= True self.y_on = False if self.raster_step: self.distance_y += self.raster_step","None: new_cut() return from_x, from_y, to_x, to_y = p if","\"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\") elif c","include a default header. \"\"\" if self.header_skipped: self.write(data) else: data","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 = %s\" %",">= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value","name=None): self.name = name self.data = data self.operation = \"blob\"","self.channel = None self.position = None self.board = \"M2\" self.header_skipped","to Right. if self.left and self.horizontal_major: # Was T switched","c == \"E\": if self.channel: self.channel(\"Execute State\") if self.mode is","context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser =","+= c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel","**kwargs): import os basename = os.path.basename(pathname) with open(pathname, \"rb\") as","# Was L switched to R with vertical rastering. if","% active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context","self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major","process(self, b, c): if c == \"I\": self.finish_state = False","self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode","self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0)","CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL","str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state =","False self.small_jump = False self.returning_compact = True self.returning_finished = False","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self,","self.y_on = False if self.channel: self.channel(\"Right\") elif c == \"T\":","send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs):","not self.top and not self.horizontal_major: # Was R switched to","reconstruct the values. When the position is changed it calls","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel","self.position = None self.board = \"M2\" self.header_skipped = False self.count_lines","self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y","else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob:","self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on","\"\"\" Write data to the emulator including the header. This",">= 3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" %","not located within the same packet. if self.position: self.position((self.x, self.y,","self.channel: self.channel(\"Laser On\") elif c == \"F\": if self.channel: self.channel(\"Finish\")","amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x","= \"blob\" self._cutcode = None self._cut = None def __repr__(self):","self.raster_step else: # vertical major self.top = not self.top self.x_on","self.raster_step self.top = False self.x_on = False self.y_on = True","\"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif c","p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser)","self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet):","self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position","# Every command in compact state executes distances. self.execute_distance() if","CutCode() self._cut = RawCut() def new_cut(): if self._cut is not","if self.left: dx = -dx if self.top: dy = -dy","Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from","command. self.laser = 0 self.compact_state = False if self.position: self.position(None)","if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step = %s\"","self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag","0 self.distance_y = 0 ox = self.x oy = self.y","elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\", name=basename, ) return True","= True if self.channel: self.channel(\"Bottom\") elif c == \"L\": #","if self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b))","the values. When the position is changed it calls a","self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished","self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer","from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path):","\"\" self.distance_x = 0 self.distance_y = 0 self.filename = \"\"","= False self.count_lines = 0 self.count_flag = 0 self.settings =","N command. self.laser = 0 self.compact_state = False if self.position:","initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send","= False self.horizontal_major = False self.fix_speeds = False self.number_consumer =","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step","not self.horizontal_major: # Was L switched to R with vertical","to Bottom if self.top and not self.horizontal_major: # Was L","amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y +=","def parse(self, data, elements): self.path = Numpath() def position(p): if","if self.finish_state: # In finished all commands are black holed","self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\": self.raster_step","= self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value)","class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool,","R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top","if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value =","= False if self.channel: self.channel(\"Left\") elif c == \"R\": #","True self.returning_finished = False self.mode = None self.raster_step = 0","self.distance_y += self.raster_step else: # vertical major self.top = not","active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class","if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value =","self.returning_finished = True elif c == \"@\": if self.channel: self.channel(\"Reset\")","self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on","from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath","None def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data))","self.mode == 0: # Homes then moves position. pass elif","elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False","False self.x_on = False self.y_on = True if self.channel: self.channel(\"Bottom\")","\"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif","elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance","== \"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif","<= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer","self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add(","generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data):","None self._cutcode = None return cutcode def generate(self): yield \"blob\",","self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x","0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines","= False if self.channel: self.channel(\"Right\") elif c == \"T\": #","triggered by 2 P commands in the same packet. #","def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped","== \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False","0 ox = self.x oy = self.y self.x += dx","speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False","c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif","= 0 for i in range(len(data)): b = data[i] c","+= c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode","self.laser = 0 self.compact_state = False if self.position: self.position(None) elif","self.execute_distance() # distance is executed by an N command. self.laser","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel = %s\" %","c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is","self.channel: self.channel(\"Moving (%d %d) now at %d %d\" % (dx,","elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname,","self.data = data self.operation = \"blob\" self._cutcode = None self._cut","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 = %s\"","with a state diagram. This should accurately reconstruct the values.","= data self.operation = \"blob\" self._cutcode = None self._cut =","\"\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >=","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 = %s\" %","\"\"\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This","an N command. self.laser = 0 self.compact_state = False if","the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x","\"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in","Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds","def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs):","+= self.raster_step self.top = True self.x_on = False self.y_on =","in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c","i in range(len(data)): b = data[i] c = chr(b) if","self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode","in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c","5: return data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",),","self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet)","header_write(self, data): \"\"\" Write data to the emulator including the","self.position(None) elif c == \"M\": self.x_on = True self.y_on =","import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath","self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\",","%s\" % self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer","dy = self.distance_y if self.left: dx = -dx if self.top:","import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import","self.channel(\"Top\") elif c == \"U\": self.laser = 0 if self.channel:","and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield","remove_header(data): count_lines = 0 count_flag = 0 for i in","else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut","horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True","return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context =","def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","else: self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state: #","self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag","len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p):","\"blob\" self._cutcode = None self._cut = None def __repr__(self): return","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self,","0 self.compact_state = False if self.position: self.position(None) elif c ==","<= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False","else 255) self.small_jump = False elif c == \"B\": #","+= c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\"","@property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self):","return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser","compact state executes distances. self.execute_distance() if c == \"|\": self.append_distance(25)","\"L\": # Move to Top if not self.top and not","0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c","distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value))","== \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished =","In finished all commands are black holed return if ord(\"0\")","if not self.left and self.horizontal_major: # Was T switched to","\"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c","state executes distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump","position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode =","0) != 0 def new_file(self): self.header_skipped = False self.count_flag =","c == \"L\": # Move to Top if not self.top","\"Top\" if self.top else \"Bottom\" b = \"Left\" if self.left","0 elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser =","a = \"Top\" if self.top else \"Bottom\" b = \"Left\"","None self.position = None self.board = \"M2\" self.header_skipped = False","\"\"\" def __init__(self): self.channel = None self.position = None self.board","pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args,","False self.mode = None self.raster_step = 0 self.paused_state = False","self.channel(\"Laser Off\") elif c == \"D\": self.laser = 1 if","self.x = 0.0 self.y = 0.0 self.number_value = \"\" self.distance_x","a state diagram. This should accurately reconstruct the values. When","\"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: #","\"M\": self.x_on = True self.y_on = True if self.channel: a","= None return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data)","= True if self.raster_step: self.distance_x += self.raster_step elif self.mode ==","= self._cutcode self._cut = None self._cutcode = None return cutcode","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c):","+= self.raster_step self.top = False self.x_on = False self.y_on =","Homes then moves position. pass elif self.mode == 1: self.compact_state","import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context,","(dx, dy, self.x, self.y)) def process(self, b, c): if c","len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel = %s\" %","vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True","in the same packet. # This should resume if not","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 =","= 0 count_flag = 0 for i in range(len(data)): b","# Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact","numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self):","from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser:","count_lines = 0 count_flag = 0 for i in range(len(data)):","self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >=","self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value += c if","= 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif","= 0 @staticmethod def remove_header(data): count_lines = 0 count_flag =","if self.channel: self.channel(\"Right\") elif c == \"T\": # Move to","self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if","self.x_on = True self.y_on = True if self.channel: a =","is intended for saved .egv files which include a default","from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem","= True if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser","dy = -dy self.distance_x = 0 self.distance_y = 0 ox","self.x_on = True self.y_on = False if self.channel: self.channel(\"Left\") elif","True self.y_on = False if self.channel: self.channel(\"Right\") elif c ==","False self.fix_speeds = False self.number_consumer = {} def parse(self, data,","self.paused_state = False else: self.execute_distance() # distance is executed by","elif c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer =","self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value","from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements","Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context,","self.filename = \"\" self.laser = 0 self.left = False self.top","0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0","= Numpath() def position(p): if p is None: return from_x,","parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode","self.finish_state = True self.paused_state = False else: self.execute_distance() # distance","= -dx if self.top: dy = -dy self.distance_x = 0","\"\" if self.compact_state: # Every command in compact state executes","if self.channel: self.channel(\"Left\") elif c == \"R\": # Move to","self.x oy = self.y self.x += dx self.y += dy","0 if self.finish_state: # In finished all commands are black","self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b))","count_flag += 1 if count_lines >= 3 and count_flag >=","self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now at %d","self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds","= False self.compact_state = False self.finish_state = False self.horizontal_major =","# Home sequence triggered by 2 P commands in the","def remove_header(data): count_lines = 0 count_flag = 0 for i","= False elif c == \"B\": # Move to Right.","= True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left","LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if","%d\" % (dx, dy, self.x, self.y)) def process(self, b, c):","T switched to B with horizontal rastering. if self.raster_step: self.distance_y","parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def","dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving","same packet. # This should resume if not located within","import os basename = os.path.basename(pathname) with open(pathname, \"rb\") as f:","if p is None: return from_x, from_y, to_x, to_y =","\"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False","self.speed_code = \"\" elif c in \"V\": self.raster_step = None","= 0 self.distance_x = 0 self.finish_state = True self.paused_state =","c): self.number_value += c if len(self.number_value) >= 3: if self.channel:","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2","self.small_jump = True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b","self.paused_state = False self.distance_x = 0 self.distance_y = 0 if","self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home sequence","= False self.x_on = False self.y_on = False self.small_jump =","self.left and self.horizontal_major: # Was T switched to B with","elif c == \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump","c == \"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\")","<= b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump","= self.distance_y if self.left: dx = -dx if self.top: dy","Axis: h=\" + str(self.x_on)) elif self.mode == 2: # Rail","rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on","to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step","if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y","self.left = False self.top = False self.x_on = False self.y_on","0 for i in range(len(data)): b = data[i] c =","\"T\": # Move to Left if not self.left and self.horizontal_major:","Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path)","= int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self,","for i in range(len(data)): b = data[i] c = chr(b)","self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step","self.returning_compact = False elif c in \"C\": if self.channel: self.channel(\"Speedcode\")","by 2 P commands in the same packet. # This","self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >=","self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state: # Every","self.top = False self.x_on = False self.y_on = True if","= CutCode() self._cut = RawCut() def new_cut(): if self._cut is","self.number_consumer = {} def parse(self, data, elements): self.path = Numpath()","self.y_on = True if self.channel: self.channel(\"Top\") elif c == \"U\":","self.horizontal_major: # Was L switched to R with vertical rastering.","it calls a self.position() function if one exists. \"\"\" def","255) self.small_jump = False elif c == \"B\": # Move","Move to Right. if self.left and self.horizontal_major: # Was T","self.left: dx = -dx if self.top: dy = -dy self.distance_x","c == \"\\n\": count_lines += 1 elif c == \"%\":","self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def","0 or self.distance_y != 0: dx = self.distance_x dy =","b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value","self.position: self.position(None) elif c == \"M\": self.x_on = True self.y_on","dy, self.x, self.y)) def process(self, b, c): if c ==","self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value","or self.distance_y != 0: dx = self.distance_x dy = self.distance_y","if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode =","self._cutcode = None self._cut = None def __repr__(self): return \"EGV(%s,","self.top else \"Bottom\" b = \"Left\" if self.left else \"Right\"","= \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value +=","0 self.y = 0 self.distance_y = 0 self.distance_x = 0","self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c","self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser","self.laser = 1 if self.channel: self.channel(\"Laser On\") elif c ==","self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod","diagram. This should accurately reconstruct the values. When the position","oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now at","Move to Left if not self.left and self.horizontal_major: # Was","0 count_flag = 0 for i in range(len(data)): b =","if self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser =","def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active","def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\",","self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if","self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if","= self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active)","if not located within the same packet. if self.position: self.position((self.x,","if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: #","self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines","Right. if self.left and self.horizontal_major: # Was T switched to","with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add(","p is None or self._cut is None: new_cut() return from_x,","(\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os","else \"Bottom\" b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal","self.channel(\"Moving (%d %d) now at %d %d\" % (dx, dy,","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def","= \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value +=","% (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode =","self.returning_compact = False self.returning_finished = True elif c == \"@\":","Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x = 0.0","self.x += dx self.y += dy if self.position: self.position((ox, oy,","= True self.laser = 0 elif c == \"P\": if","self.top = True self.x_on = False self.y_on = True if","= self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute State\")","parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None","as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut()","dx = self.distance_x dy = self.distance_y if self.left: dx =","a self.position() function if one exists. \"\"\" def __init__(self): self.channel","True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0:","True self.y_on = False if self.channel: self.channel(\"Left\") elif c ==","self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\": self.raster_step =","0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True","if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not","% active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code","self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode == 2:","def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0:","self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL)","Off\") elif c == \"D\": self.laser = 1 if self.channel:","if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top","self.distance_y = 0 if self.finish_state: # In finished all commands","self.small_jump = False elif c == \"B\": # Move to","= False self.mode = None self.raster_step = 0 self.paused_state =","self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if","= False self.x_on = True self.y_on = False if self.channel:","elif c == \"R\": # Move to Bottom if self.top","False self.returning_compact = True self.laser = 0 elif c ==","count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod","= \"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag =","self.x_on = False self.y_on = True if self.channel: self.channel(\"Bottom\") elif","self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set","in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer =","header. \"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data)","self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value","= False self.y_on = True if self.channel: self.channel(\"Bottom\") elif c","% (dx, dy, self.x, self.y)) def process(self, b, c): if","from meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from","This is intended for saved .egv files which include a","= dict(parser.settings) def position(p): if p is None or self._cut","self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode","context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds =","self.top and not self.horizontal_major: # Was L switched to R","self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def","data): \"\"\" Write data to the emulator including the header.","L switched to R with vertical rastering. if self.raster_step: self.distance_x","\"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c","B2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","None self._cut = None def __repr__(self): return \"EGV(%s, %d bytes)\"","None self.raster_step = 0 self.paused_state = False self.compact_state = False","self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif c ==","to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x,","bytearray, name=None): self.name = name self.data = data self.operation =","Mode = %s\" % self.number_value) self.mode = int(self.number_value) self.number_value =","self.execute_distance() # distance is executed by a P command self.paused_state","return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0,","self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def",">= 5: return data[i:] @staticmethod def load_types(): yield \"Engrave Files\",","if self.small_jump else 255) self.small_jump = False elif c ==","def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1:","LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag",">= 5: return data[i:] def header_write(self, data): \"\"\" Write data","self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is None:","ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False elif","True if self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move","= int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self,","if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True","pass elif self.mode == 1: self.compact_state = True self.horizontal_major =","c == \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if","self.compact_state = False if self.position: self.position(None) elif c == \"M\":","= self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount","elif c == \"L\": # Move to Top if not","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1","self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step = int(self.number_value)","1 if self.channel: self.channel(\"Laser On\") elif c == \"F\": if","class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name","len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else:","# Homes then moves position. pass elif self.mode == 1:","self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\"","None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings)","# This should resume if not located within the same","elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1 -","def __init__(self): self.channel = None self.position = None self.board =","def write(self, data): for b in data: self.process(b, chr(b)) def","self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: #","or self._cut is None: new_cut() return from_x, from_y, to_x, to_y","== 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut()","return from_x, from_y, to_x, to_y = p if self.program_mode: if","if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d","len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode = %s\" %","command in compact state executes distances. self.execute_distance() if c ==","% (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None):","self.y_on = False if self.channel: self.channel(\"Left\") elif c == \"R\":","path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return","self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel","-dy self.distance_x = 0 self.distance_y = 0 ox = self.x","= self.distance_consumer self.number_value = \"\" if self.compact_state: # Every command","a default header. \"\"\" if self.header_skipped: self.write(data) else: data =","= not self.top self.x_on = False self.y_on = True if","else: self.execute_distance() # distance is executed by a P command","self.distance_y if self.left: dx = -dx if self.top: dy =","= 0 ox = self.x oy = self.y self.x +=","\"I\": self.finish_state = False self.compact_state = False self.paused_state = False","c == \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <=","state diagram. This should accurately reconstruct the values. When the","and not self.horizontal_major: # Was R switched to L with","return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader:","cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod","self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value =","@staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for","self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \"\" if","0 if self.paused_state: # Home sequence triggered by 2 P","self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines =","if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser = 0","is None: return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\",","elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\"","sequence triggered by 2 P commands in the same packet.","is executed by an N command. self.laser = 0 self.compact_state","moves position. pass elif self.mode == 1: self.compact_state = True","parse(self, data, elements): self.path = Numpath() def position(p): if p","to the emulator including the header. This is intended for","True if self.channel: a = \"Top\" if self.top else \"Bottom\"","@property def default_mode(self): return not self.compact_state @property def raster_mode(self): return","\"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser =","to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y),","commands in the same packet. # This should resume if","self.returning_compact = True self.laser = 0 elif c == \"P\":","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step =","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c):","%d %d\" % (dx, dy, self.x, self.y)) def process(self, b,","= self.distance_x dy = self.distance_y if self.left: dx = -dx","= 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code =","\"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c","c): self.number_value += c if len(self.number_value) >= 1: if self.channel:","0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position","to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step","header. This is intended for saved .egv files which include","self.channel(\"N\") self.execute_distance() # distance is executed by an N command.","self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer","if self.channel: self.channel(\"Laser On\") elif c == \"F\": if self.channel:","count_lines >= 3 and count_flag >= 5: return data[i:] def","raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","Home sequence triggered by 2 P commands in the same","self.left = False self.x_on = True self.y_on = False if","self._cut.settings = dict(parser.settings) def position(p): if p is None or","self.context.channel(\"lhy\") def pos(p): if p is None: return x0, y0,","0 self.filename = \"\" self.laser = 0 self.left = False","1 if count_lines >= 3 and count_flag >= 5: return","def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def","self.board = \"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag","class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a state","== \"I\": self.finish_state = False self.compact_state = False self.paused_state =","to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path,","self.position() function if one exists. \"\"\" def __init__(self): self.channel =","dict(parser.settings) def position(p): if p is None or self._cut is","black holed return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c)","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel = %s\"","self.raster_step self.left = True self.x_on = True self.y_on = False","c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value","and not self.horizontal_major: # Was L switched to R with","- ord(\"a\")) self.small_jump = False elif c == \"z\": self.append_distance(26","self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob: def __init__(self,","are black holed return if ord(\"0\") <= b <= ord(\"9\"):","code with a state diagram. This should accurately reconstruct the","False self.returning_compact = True self.returning_finished = False self.mode = None","self.channel: self.channel(\"Left\") elif c == \"R\": # Move to Bottom","\"%\": count_flag += 1 if count_lines >= 3 and count_flag","%d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser()","None return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class","if self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move to","3: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value",".egv files which include a default header. \"\"\" if self.header_skipped:","self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def","context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" %","20.0, \"power\": 1000.0}) self.speed_code = None self.x = 0.0 self.y","0.0 self.y = 0.0 self.number_value = \"\" self.distance_x = 0","# distance is executed by a P command self.paused_state =","self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top =","b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\"","# Was R switched to L with vertical rastering. if","y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position =","= 0 self.filename = \"\" self.laser = 0 self.left =","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def","def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in","to Top if not self.top and not self.horizontal_major: # Was"],"string":"[\n \"function if one exists. \\\"\\\"\\\" def __init__(self): self.channel = None\",\n \"self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode\",\n \"0 self.distance_y = 0 if self.finish_state: # In finished all\",\n \"data self.operation = \\\"blob\\\" self._cutcode = None self._cut = None\",\n \"def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname)\",\n \"= False self.compact_state = False self.paused_state = False self.distance_x =\",\n \"self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on\",\n \"p is None: return from_x, from_y, to_x, to_y = p\",\n \"def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel,\",\n \"def pos(p): if p is None: return x0, y0, x1,\",\n \"= None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines =\",\n \"None or self._cut is None: new_cut() return from_x, from_y, to_x,\",\n \"True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser =\",\n \"if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount\",\n \"+= self.raster_step elif self.mode == 0: # Homes then moves\",\n \"self.top and not self.horizontal_major: # Was R switched to L\",\n \"saved .egv files which include a default header. \\\"\\\"\\\" if\",\n \"\\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0 self.y =\",\n \"in compact state executes distances. self.execute_distance() if c == \\\"|\\\":\",\n \"self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to Bottom if\",\n \"return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\"\",\n \"= False self.finish_state = False self.horizontal_major = False self.fix_speeds =\",\n \"self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x\",\n \"0, 0)) self.x = 0 self.y = 0 self.distance_y =\",\n \"if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position =\",\n \"def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state\",\n \"self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left\",\n \"oy = self.y self.x += dx self.y += dy if\",\n \"now at %d %d\\\" % (dx, dy, self.x, self.y)) def\",\n \"parses LHYMicro-GL code with a state diagram. This should accurately\",\n \"os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch\",\n \"\\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context = self.context\",\n \"ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\"\",\n \"= self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"within the same packet. if self.position: self.position((self.x, self.y, 0, 0))\",\n \"\\\"R\\\": # Move to Bottom if self.top and not self.horizontal_major:\",\n \"count_flag >= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write\",\n \"and self.horizontal_major: # Was T switched to B with horizontal\",\n \"= self.x oy = self.y self.x += dx self.y +=\",\n \"= True self.paused_state = False else: self.execute_distance() # distance is\",\n \"\\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines =\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel =\",\n \"if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on =\",\n \"if not self.top and not self.horizontal_major: # Was R switched\",\n \"self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b\",\n \"elif c == \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser\",\n \"EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data\",\n \"False else: self.execute_distance() # distance is executed by a P\",\n \"count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave\",\n \"# Move to Top if not self.top and not self.horizontal_major:\",\n \"to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step\",\n \"\\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s\",\n \"elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False\",\n \"self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if\",\n \"__init__(self): self.channel = None self.position = None self.board = \\\"M2\\\"\",\n \"if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x),\",\n \"3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value)\",\n \"self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x\",\n \"self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0\",\n \"True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished =\",\n \"self.left = True self.x_on = True self.y_on = False if\",\n \"self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser\",\n \"== \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed\",\n \"ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\"))\",\n \"self._cutcode = None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\",\",\n \"Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import\",\n \"self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"if self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b\",\n \"the same packet. # This should resume if not located\",\n \"bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode\",\n \"2: # Rail unlocked. self.compact_state = True self.returning_finished = False\",\n \"def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"= \\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename =\",\n \"+= dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel:\",\n \"with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top =\",\n \"self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\"\",\n \"= True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished\",\n \"RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from\",\n \"self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value\",\n \"\\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c\",\n \"1: if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode\",\n \"= False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else\",\n \"(%d %d) now at %d %d\\\" % (dx, dy, self.x,\",\n \"LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if\",\n \"= 0 self.distance_y = 0 self.filename = \\\"\\\" self.laser =\",\n \"b = data[i] c = chr(b) if c == \\\"\\\\n\\\":\",\n \"b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value +=\",\n \"if self.left and self.horizontal_major: # Was T switched to B\",\n \"self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def\",\n \"L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top\",\n \"meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def\",\n \"self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or\",\n \"self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if\",\n \"send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser\",\n \"if self.position: self.position(None) elif c == \\\"M\\\": self.x_on = True\",\n \"yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname,\",\n \"self.paused_state = True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\")\",\n \"% self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode\",\n \"3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value\",\n \"1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value\",\n \"Left if not self.left and self.horizontal_major: # Was T switched\",\n \"(a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name\",\n \"!= 0: dx = self.distance_x dy = self.distance_y if self.left:\",\n \"== \\\"T\\\": # Move to Left if not self.left and\",\n \"= False self.top = False self.x_on = False self.y_on =\",\n \"self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module\",\n \"= 0 if self.finish_state: # In finished all commands are\",\n \"self.top = False self.x_on = False self.y_on = False self.small_jump\",\n \"def position(p): if p is None: return from_x, from_y, to_x,\",\n \"__init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser\",\n \"a P command self.paused_state = True elif c == \\\"N\\\":\",\n \"send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a\",\n \"\\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if\",\n \"= \\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if\",\n \"self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value\",\n \"op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\", name=basename, )\",\n \"== \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state:\",\n \"self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state\",\n \"Write data to the emulator including the header. This is\",\n \"= False self.paused_state = False self.distance_x = 0 self.distance_y =\",\n \"holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return\",\n \"with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left =\",\n \"Was T switched to B with horizontal rastering. if self.raster_step:\",\n \"if self.top: dy = -dy self.distance_x = 0 self.distance_y =\",\n \"from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module):\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2\",\n \"if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self,\",\n \"= False if self.position: self.position(None) elif c == \\\"M\\\": self.x_on\",\n \"distance is executed by an N command. self.laser = 0\",\n \"# Move to Right. if self.left and self.horizontal_major: # Was\",\n \"if p is None: return x0, y0, x1, y1 =\",\n \"default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data)\",\n \"LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\",\",\n \"def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut)\",\n \"self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False\",\n \"= context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context\",\n \"False self.finish_state = False self.horizontal_major = False self.fix_speeds = False\",\n \"= -dy self.distance_x = 0 self.distance_y = 0 ox =\",\n \"None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state =\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if\",\n \"= self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser:\",\n \"self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact: self.compact_state =\",\n \"horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False\",\n \"@staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def\",\n \"to Left if not self.left and self.horizontal_major: # Was T\",\n \"the emulator including the header. This is intended for saved\",\n \"1 elif c == \\\"%\\\": count_flag += 1 if count_lines\",\n \"self.distance_x dy = self.distance_y if self.left: dx = -dx if\",\n \"data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if\",\n \"self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self):\",\n \"= 0 self.distance_y = 0 ox = self.x oy =\",\n \"if self.mode is None: if self.returning_compact: self.compact_state = True if\",\n \"= self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif\",\n \"3: if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step\",\n \"self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if\",\n \"self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p\",\n \"= Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x =\",\n \"= \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" %\",\n \"Was L switched to R with vertical rastering. if self.raster_step:\",\n \"self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact: self.compact_state\",\n \"finished all commands are black holed return if ord(\\\"0\\\") <=\",\n \"\\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob: def\",\n \"self.small_jump else 255) self.small_jump = False elif c == \\\"B\\\":\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c):\",\n \"self.y self.x += dx self.y += dy if self.position: self.position((ox,\",\n \"active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with\",\n \"self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self):\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\"\",\n \"c == \\\"B\\\": # Move to Right. if self.left and\",\n \"rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on\",\n \"elif c == \\\"B\\\": # Move to Right. if self.left\",\n \"from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel\",\n \"False elif c == \\\"B\\\": # Move to Right. if\",\n \"from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) ==\",\n \"0: # Homes then moves position. pass elif self.mode ==\",\n \"self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\":\",\n \"self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0\",\n \"c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact\",\n \"h=\\\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked.\",\n \"distance is executed by a P command self.paused_state = True\",\n \"self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d)\",\n \"= LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data):\",\n \"\\\"B\\\": # Move to Right. if self.left and self.horizontal_major: #\",\n \"data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to the emulator\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer\",\n \"send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active =\",\n \"distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump = True\",\n \"f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\", name=basename,\",\n \"packet. # This should resume if not located within the\",\n \"self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p\",\n \"self.x_on = False self.y_on = False self.small_jump = False self.returning_compact\",\n \"0 self.left = False self.top = False self.x_on = False\",\n \"self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0 if\",\n \"self._cutcode self._cut = None self._cutcode = None return cutcode def\",\n \"P command self.paused_state = True elif c == \\\"N\\\": if\",\n \"True self.paused_state = False else: self.execute_distance() # distance is executed\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\"\",\n \"switched to B with horizontal rastering. if self.raster_step: self.distance_y +=\",\n \"= False self.y_on = True if self.raster_step: self.distance_x += self.raster_step\",\n \"name self.data = data self.operation = \\\"blob\\\" self._cutcode = None\",\n \"self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every command in\",\n \"b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"= %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\"\",\n \"self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\"\",\n \"0: dx = self.distance_x dy = self.distance_y if self.left: dx\",\n \"!= 0 def new_file(self): self.header_skipped = False self.count_flag = 0\",\n \"\\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True\",\n \"self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"False self.compact_state = False self.paused_state = False self.distance_x = 0\",\n \"self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename\",\n \"if c == \\\"\\\\n\\\": count_lines += 1 elif c ==\",\n \"This should accurately reconstruct the values. When the position is\",\n \"= \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value +=\",\n \"c == \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\")\",\n \"self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to Top\",\n \"if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\":\",\n \"self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return\",\n \"self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\":\",\n \"self.distance_y != 0: dx = self.distance_x dy = self.distance_y if\",\n \"def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active\",\n \"self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value =\",\n \"switched to L with vertical rastering. if self.raster_step: self.distance_x +=\",\n \"default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0)\",\n \"switched to R with vertical rastering. if self.raster_step: self.distance_x +=\",\n \"= {} def parse(self, data, elements): self.path = Numpath() def\",\n \"self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if\",\n \"== \\\"M\\\": self.x_on = True self.y_on = True if self.channel:\",\n \"self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif c\",\n \"self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif\",\n \"exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position = None\",\n \"0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None\",\n \"return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to the\",\n \"self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif\",\n \"is changed it calls a self.position() function if one exists.\",\n \"= LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut():\",\n \"if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser)\",\n \"= True self.y_on = True if self.channel: a = \\\"Top\\\"\",\n \"= \\\"\\\" if self.compact_state: # Every command in compact state\",\n \"elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self):\",\n \"= self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"\\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer\",\n \"chr(b) if c == \\\"\\\\n\\\": count_lines += 1 elif c\",\n \"c == \\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state\",\n \"return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped = False\",\n \"if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value =\",\n \"not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings =\",\n \"self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position =\",\n \"c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished\",\n \"if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an\",\n \"\\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0\",\n \"== \\\"R\\\": # Move to Bottom if self.top and not\",\n \"self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact =\",\n \"self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis:\",\n \"data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c):\",\n \"program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property\",\n \"self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y =\",\n \"new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0\",\n \"chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"Was R switched to L with vertical rastering. if self.raster_step:\",\n \"= True if self.channel: a = \\\"Top\\\" if self.top else\",\n \"3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value)\",\n \"if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value\",\n \"if p is None or self._cut is None: new_cut() return\",\n \"elif c == \\\"%\\\": count_flag += 1 if count_lines >=\",\n \"if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else\",\n \"self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def\",\n \"load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier,\",\n \"= 0 self.distance_y = 0 if self.finish_state: # In finished\",\n \"\\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b <=\",\n \"= 0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y =\",\n \"= False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code\",\n \"self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send\",\n \"False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255)\",\n \"False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c ==\",\n \"by a P command self.paused_state = True elif c ==\",\n \"= context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses\",\n \"False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\":\",\n \"self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"accurately reconstruct the values. When the position is changed it\",\n \"os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\")\",\n \"range(len(data)): b = data[i] c = chr(b) if c ==\",\n \"False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {}\",\n \"new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode:\",\n \"= pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self,\",\n \"0)) self.x = 0 self.y = 0 self.distance_y = 0\",\n \"c == \\\"M\\\": self.x_on = True self.y_on = True if\",\n \"position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, )\",\n \"self.laser = 0 if self.paused_state: # Home sequence triggered by\",\n \"self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode == 2: #\",\n \"speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0\",\n \"= True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance()\",\n \"self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args,\",\n \"\\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c\",\n \"ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\": self.append_distance(26 if\",\n \"# distance is executed by an N command. self.laser =\",\n \"<= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value =\",\n \"self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True\",\n \"return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else:\",\n \"State\\\") if self.mode is None: if self.returning_compact: self.compact_state = True\",\n \"count_lines += 1 elif c == \\\"%\\\": count_flag += 1\",\n \"3 and count_flag >= 5: return data[i:] @staticmethod def load_types():\",\n \"== \\\"B\\\": # Move to Right. if self.left and self.horizontal_major:\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio\",\n \"self.finish_state: # In finished all commands are black holed return\",\n \"if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\"\",\n \"= 0 self.finish_state = True self.paused_state = False else: self.execute_distance()\",\n \"== \\\"L\\\": # Move to Top if not self.top and\",\n \"c == \\\"T\\\": # Move to Left if not self.left\",\n \"not self.left and self.horizontal_major: # Was T switched to B\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer\",\n \"int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c):\",\n \"== \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b\",\n \"self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self,\",\n \"as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\",\",\n \"= False self.number_consumer = {} def parse(self, data, elements): self.path\",\n \"def position(p): if p is None or self._cut is None:\",\n \"elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser =\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value)\",\n \"path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser()\",\n \"\\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a,\",\n \"self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if\",\n \"self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel:\",\n \"cutcode = self._cutcode self._cut = None self._cutcode = None return\",\n \"self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x\",\n \"if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut =\",\n \"len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut\",\n \"False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move\",\n \"self.top = not self.top self.x_on = False self.y_on = True\",\n \"False self.returning_finished = True elif c == \\\"@\\\": if self.channel:\",\n \"self.horizontal_major: # Was R switched to L with vertical rastering.\",\n \"speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut\",\n \"if count_lines >= 3 and count_flag >= 5: return data[i:]\",\n \">= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value)\",\n \"self.y = 0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y\",\n \"self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x\",\n \"= False self.distance_x = 0 self.distance_y = 0 if self.finish_state:\",\n \"elements): self.path = Numpath() def position(p): if p is None:\",\n \"raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped =\",\n \"None: return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0,\",\n \"if self.paused_state: # Home sequence triggered by 2 P commands\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 =\",\n \"This should resume if not located within the same packet.\",\n \"+ 1 - ord(\\\"a\\\")) self.small_jump = False elif c ==\",\n \"self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b =\",\n \"def header_write(self, data): \\\"\\\"\\\" Write data to the emulator including\",\n \"3 and count_flag >= 5: return data[i:] def header_write(self, data):\",\n \"False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data):\",\n \"commands are black holed return if ord(\\\"0\\\") <= b <=\",\n \"and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def\",\n \"self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step\",\n \"self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to Left if\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def\",\n \"\\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\": count_flag +=\",\n \"\\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def\",\n \"elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property\",\n \"# Was T switched to B with horizontal rastering. if\",\n \"\\\"\\\" self.laser = 0 self.left = False self.top = False\",\n \"= not self.left self.x_on = True self.y_on = False if\",\n \"None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines = 0\",\n \"self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an N\",\n \"def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"is None: return from_x, from_y, to_x, to_y = p if\",\n \"When the position is changed it calls a self.position() function\",\n \"self._cut = None self._cutcode = None return cutcode def generate(self):\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 =\",\n \"%s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) !=\",\n \"self.number_value = \\\"\\\" if self.compact_state: # Every command in compact\",\n \"Dratio b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"def __init__(self, data: bytearray, name=None): self.name = name self.data =\",\n \"= 0 self.compact_state = False if self.position: self.position(None) elif c\",\n \"= 0 self.paused_state = False self.compact_state = False self.finish_state =\",\n \"self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if\",\n \"def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state\",\n \"self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def\",\n \"self.y)) def process(self, b, c): if c == \\\"I\\\": self.finish_state\",\n \"if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\":\",\n \"self.distance_x = 0 self.finish_state = True self.paused_state = False else:\",\n \"On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact =\",\n \"= 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines =\",\n \"c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0\",\n \"self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move\",\n \"self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x +=\",\n \"(self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode()\",\n \"False if self.raster_step: self.distance_y += self.raster_step else: # vertical major\",\n \"self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False)\",\n \"in range(len(data)): b = data[i] c = chr(b) if c\",\n \"located within the same packet. if self.position: self.position((self.x, self.y, 0,\",\n \"False self.paused_state = False self.distance_x = 0 self.distance_y = 0\",\n \"0 self.distance_x = 0 self.finish_state = True self.paused_state = False\",\n \"self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31])\",\n \"False self.x_on = False self.y_on = False self.small_jump = False\",\n \"data, elements): self.path = Numpath() def position(p): if p is\",\n \"changed it calls a self.position() function if one exists. \\\"\\\"\\\"\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self,\",\n \"Set\\\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer =\",\n \"= position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode\",\n \"False self.number_consumer = {} def parse(self, data, elements): self.path =\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer\",\n \"vertical major self.top = not self.top self.x_on = False self.y_on\",\n \"Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if self.channel:\",\n \"all commands are black holed return if ord(\\\"0\\\") <= b\",\n \"basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch =\",\n \"= p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y),\",\n \"for saved .egv files which include a default header. \\\"\\\"\\\"\",\n \"by an N command. self.laser = 0 self.compact_state = False\",\n \"self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif c in\",\n \"self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False\",\n \"calls a self.position() function if one exists. \\\"\\\"\\\" def __init__(self):\",\n \"not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0\",\n \">= 3 and count_flag >= 5: return data[i:] @staticmethod def\",\n \"self.x, self.y)) def process(self, b, c): if c == \\\"I\\\":\",\n \"major self.top = not self.top self.x_on = False self.y_on =\",\n \"= 0 self.left = False self.top = False self.x_on =\",\n \"if self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\" %\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on:\",\n \"position(p): if p is None or self._cut is None: new_cut()\",\n \"LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for\",\n \"is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state\",\n \"0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y = 0\",\n \"0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value +=\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\" %\",\n \"self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer\",\n \"self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to Top if\",\n \"__init__(self, data: bytearray, name=None): self.name = name self.data = data\",\n \"= None self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if\",\n \"self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c):\",\n \"\\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer\",\n \"position is changed it calls a self.position() function if one\",\n \"= self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is\",\n \"elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0\",\n \"not self.top self.x_on = False self.y_on = True if self.raster_step:\",\n \"self.y_on = True if self.channel: a = \\\"Top\\\" if self.top\",\n \"= elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\", name=basename, ) return\",\n \"= position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings,\",\n \"is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings\",\n \"%s %s\\\" % (a, b)) class EGVBlob: def __init__(self, data:\",\n \"self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements):\",\n \"execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx\",\n \"Every command in compact state executes distances. self.execute_distance() if c\",\n \"parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None\",\n \"if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact:\",\n \"def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"= None self.raster_step = 0 self.paused_state = False self.compact_state =\",\n \"c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump =\",\n \"= self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if\",\n \"True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1\",\n \"self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to Left\",\n \"b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster\",\n \"True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() #\",\n \"self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer\",\n \"self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact\",\n \"data[i] c = chr(b) if c == \\\"\\\\n\\\": count_lines +=\",\n \"= False self.fix_speeds = False self.number_consumer = {} def parse(self,\",\n \"= p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y))\",\n \"self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y\",\n \"= \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state\",\n \"RawCut() def new_cut(): if self._cut is not None and len(self._cut):\",\n \"self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if\",\n \"if self.distance_x != 0 or self.distance_y != 0: dx =\",\n \"Top if not self.top and not self.horizontal_major: # Was R\",\n \"+= amount def execute_distance(self): if self.distance_x != 0 or self.distance_y\",\n \"int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode =\",\n \"P commands in the same packet. # This should resume\",\n \"self.x_on = False self.y_on = True if self.raster_step: self.distance_x +=\",\n \"None self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if self.channel:\",\n \"self.horizontal_major: self.left = not self.left self.x_on = True self.y_on =\",\n \"== 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel:\",\n \"not self.horizontal_major: # Was R switched to L with vertical\",\n \"amount def execute_distance(self): if self.distance_x != 0 or self.distance_y !=\",\n \"b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name =\",\n \"import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color\",\n \"True if self.horizontal_major: self.left = not self.left self.x_on = True\",\n \"self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif\",\n \"if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home\",\n \"self.compact_state: # Every command in compact state executes distances. self.execute_distance()\",\n \"executed by a P command self.paused_state = True elif c\",\n \"self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer\",\n \"Move to Bottom if self.top and not self.horizontal_major: # Was\",\n \"self.returning_finished = False self.returning_compact = False elif c in \\\"C\\\":\",\n \"self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class\",\n \"= self.y self.x += dx self.y += dy if self.position:\",\n \"= None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name,\",\n \"should accurately reconstruct the values. When the position is changed\",\n \"# Move to Bottom if self.top and not self.horizontal_major: #\",\n \"LHYMicro-GL code with a state diagram. This should accurately reconstruct\",\n \"self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"= True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b +\",\n \"= data[i] c = chr(b) if c == \\\"\\\\n\\\": count_lines\",\n \"+= dx self.y += dy if self.position: self.position((ox, oy, self.x,\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def\",\n \"self.name = name self.data = data self.operation = \\\"blob\\\" self._cutcode\",\n \"self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode = int(self.number_value)\",\n \">= 3 and count_flag >= 5: return data[i:] def header_write(self,\",\n \"# Move to Left if not self.left and self.horizontal_major: #\",\n \"position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major\",\n \"-dx if self.top: dy = -dy self.distance_x = 0 self.distance_y\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value\",\n \"= %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\"\",\n \"= self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\")\",\n \"executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump =\",\n \"new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut\",\n \"parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y),\",\n \"R switched to L with vertical rastering. if self.raster_step: self.distance_x\",\n \"@staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename =\",\n \"\\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by\",\n \"self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif c\",\n \"y0, x1, y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\"\",\n \"Bottom if self.top and not self.horizontal_major: # Was L switched\",\n \"True self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Top\\\")\",\n \"self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser = 1\",\n \"self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1\",\n \"elif c == \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser\",\n \"\\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode\",\n \"data to the emulator including the header. This is intended\",\n \"B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left\",\n \"elif self.mode == 2: # Rail unlocked. self.compact_state = True\",\n \"self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif c ==\",\n \"self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c ==\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self,\",\n \"c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer\",\n \"self.raster_step elif self.mode == 0: # Homes then moves position.\",\n \"= False self.count_flag = 0 self.count_lines = 0 @staticmethod def\",\n \"self.small_jump = False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump\",\n \"2 P commands in the same packet. # This should\",\n \"= True self.x_on = False self.y_on = True if self.channel:\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c):\",\n \"int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount):\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer\",\n \"self._cut = None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" %\",\n \"x1, y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" %\",\n \"False self.distance_x = 0 self.distance_y = 0 if self.finish_state: #\",\n \"write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self,\",\n \"self.laser = 0 self.left = False self.top = False self.x_on\",\n \"= True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\"\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self,\",\n \"= 0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x =\",\n \"if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c ==\",\n \"= True if self.horizontal_major: self.left = not self.left self.x_on =\",\n \"Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"\\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\",\",\n \"EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0\",\n \"= \\\"\\\" self.laser = 0 self.left = False self.top =\",\n \"if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step =\",\n \"if self.top and not self.horizontal_major: # Was L switched to\",\n \"resume if not located within the same packet. if self.position:\",\n \"False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\")\",\n \"0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0\",\n \"= True self.returning_finished = False self.returning_compact = True self.laser =\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value\",\n \"self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"):\",\n \"if self.compact_state: # Every command in compact state executes distances.\",\n \"= False self.y_on = False self.small_jump = False self.returning_compact =\",\n \"0 self.finish_state = True self.paused_state = False else: self.execute_distance() #\",\n \"class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag =\",\n \"self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet)\",\n \"files which include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data)\",\n \"self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now\",\n \"self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value =\",\n \"self.raster_step self.left = False self.x_on = True self.y_on = False\",\n \"self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on))\",\n \"len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c):\",\n \"= False self.returning_finished = True elif c == \\\"@\\\": if\",\n \"self.distance_x = 0 self.distance_y = 0 ox = self.x oy\",\n \"def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut =\",\n \"self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif\",\n \"self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings\",\n \"self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True\",\n \"dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y))\",\n \"{} def parse(self, data, elements): self.path = Numpath() def position(p):\",\n \"= 0 if self.paused_state: # Home sequence triggered by 2\",\n \"self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes\",\n \"== \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact =\",\n \"*args, **kwargs): context = self.context active = self.context.root.active send =\",\n \"= False self.small_jump = False self.returning_compact = True self.returning_finished =\",\n \"elif self.mode == 0: # Homes then moves position. pass\",\n \"c): if c == \\\"I\\\": self.finish_state = False self.compact_state =\",\n \"command self.paused_state = True elif c == \\\"N\\\": if self.channel:\",\n \"complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\",\",\n \"+ str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state\",\n \"= None self._cutcode = None return cutcode def generate(self): yield\",\n \"for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value\",\n \"\\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c\",\n \"elif c == \\\"M\\\": self.x_on = True self.y_on = True\",\n \"if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x !=\",\n \"__repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self):\",\n \"same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x =\",\n \"= RawCut() def new_cut(): if self._cut is not None and\",\n \"%d) now at %d %d\\\" % (dx, dy, self.x, self.y))\",\n \"if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif\",\n \"== \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance()\",\n \"self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code\",\n \"False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code =\",\n \"meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units\",\n \"return self.compact_state @property def default_mode(self): return not self.compact_state @property def\",\n \"\\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x\",\n \"True self.y_on = True if self.channel: a = \\\"Top\\\" if\",\n \"= False if self.raster_step: self.distance_y += self.raster_step else: # vertical\",\n \"@property def program_mode(self): return self.compact_state @property def default_mode(self): return not\",\n \"int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position\",\n \"data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self,\",\n \"self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"),\",\n \"= 0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser\",\n \"unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True\",\n \"packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0\",\n \"# In finished all commands are black holed return if\",\n \"c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def\",\n \"self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major:\",\n \"context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context =\",\n \"self.distance_y = 0 self.filename = \\\"\\\" self.laser = 0 self.left\",\n \"= 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\":\",\n \"0 self.distance_y = 0 self.filename = \\\"\\\" self.laser = 0\",\n \"= p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos\",\n \"5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to\",\n \"= False else: self.execute_distance() # distance is executed by a\",\n \"p is None: return x0, y0, x1, y1 = p\",\n \"self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c):\",\n \"not self.left self.x_on = True self.y_on = False if self.raster_step:\",\n \"self.returning_finished = False self.returning_compact = True self.laser = 0 elif\",\n \"B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"(x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return\",\n \"new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut =\",\n \"self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut()\",\n \"meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self,\",\n \"the header. This is intended for saved .egv files which\",\n \"c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel =\",\n \"+= self.raster_step self.left = True self.x_on = True self.y_on =\",\n \"self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False elif c\",\n \"if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on =\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 =\",\n \"y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name\",\n \"+= 1 if count_lines >= 3 and count_flag >= 5:\",\n \"data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod\",\n \"append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y\",\n \"if c == \\\"I\\\": self.finish_state = False self.compact_state = False\",\n \"= True self.x_on = True self.y_on = False if self.channel:\",\n \"\\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel =\",\n \"self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self):\",\n \"else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def\",\n \"\\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs):\",\n \"self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c\",\n \"mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if\",\n \"c in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer\",\n \"= self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"\\\"\\\" elif c in \\\"V\\\": self.raster_step = None if self.channel:\",\n \"is None or self._cut is None: new_cut() return from_x, from_y,\",\n \"False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c ==\",\n \"should resume if not located within the same packet. if\",\n \"intended for saved .egv files which include a default header.\",\n \"Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value =\",\n \"if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on =\",\n \"else: # vertical major self.top = not self.top self.x_on =\",\n \"False self.y_on = False self.small_jump = False self.returning_compact = True\",\n \"False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif\",\n \"if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer\",\n \"LihuiyuParser parses LHYMicro-GL code with a state diagram. This should\",\n \"# vertical major self.top = not self.top self.x_on = False\",\n \"c = chr(b) if c == \\\"\\\\n\\\": count_lines += 1\",\n \"context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL\",\n \"None self.x = 0.0 self.y = 0.0 self.number_value = \\\"\\\"\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value +=\",\n \"True self.returning_finished = False self.returning_compact = True self.laser = 0\",\n \"if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self,\",\n \"def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def\",\n \"yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines\",\n \"= name self.data = data self.operation = \\\"blob\\\" self._cutcode =\",\n \"self._cut = RawCut() def new_cut(): if self._cut is not None\",\n \"and count_flag >= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\"\",\n \"self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\"\",\n \"+= self.raster_step else: # vertical major self.top = not self.top\",\n \"self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In\",\n \"= False self.returning_compact = True self.laser = 0 elif c\",\n \"= None self.x = 0.0 self.y = 0.0 self.number_value =\",\n \"= False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c\",\n \"True self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Left\\\")\",\n \"= LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p):\",\n \"if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode =\",\n \"to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x),\",\n \"**kwargs): context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\"\",\n \"False if self.position: self.position(None) elif c == \\\"M\\\": self.x_on =\",\n \"self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished\",\n \"one exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position =\",\n \"== \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None:\",\n \"0 if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser\",\n \"False self.top = False self.x_on = False self.y_on = False\",\n \"elif c == \\\"T\\\": # Move to Left if not\",\n \"b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump =\",\n \"meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import\",\n \"False self.compact_state = False self.finish_state = False self.horizontal_major = False\",\n \"elif c in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\")\",\n \"pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\")\",\n \"= 1 if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\":\",\n \"self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value\",\n \"def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"= \\\"\\\" elif c in \\\"V\\\": self.raster_step = None if\",\n \"= 0 self.distance_y = 0 self.distance_x = 0 self.finish_state =\",\n \"rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on\",\n \"= self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"if c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\")\",\n \"%s\\\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray,\",\n \"True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left =\",\n \"speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position\",\n \"self.x_on = True self.y_on = False if self.raster_step: self.distance_y +=\",\n \"+= amount if self.y_on: self.distance_y += amount def execute_distance(self): if\",\n \"= os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch\",\n \"self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0,\",\n \"== \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif\",\n \"if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on =\",\n \"UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from\",\n \"= self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return x0,\",\n \"executed by an N command. self.laser = 0 self.compact_state =\",\n \"count_flag = 0 for i in range(len(data)): b = data[i]\",\n \"including the header. This is intended for saved .egv files\",\n \"False self.returning_compact = False elif c in \\\"C\\\": if self.channel:\",\n \"self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if\",\n \"self.distance_x += self.raster_step elif self.mode == 0: # Homes then\",\n \"= False self.returning_compact = True self.returning_finished = False self.mode =\",\n \"open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())),\",\n \"elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on\",\n \"type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def\",\n \"= True self.returning_finished = False self.mode = None self.raster_step =\",\n \"emulator including the header. This is intended for saved .egv\",\n \"then moves position. pass elif self.mode == 1: self.compact_state =\",\n \"= self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self,\",\n \"meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import\",\n \"Move to Top if not self.top and not self.horizontal_major: #\",\n \"True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" +\",\n \"<reponame>jpirnay/meerk40t<gh_stars>0 from meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters\",\n \"= True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c\",\n \"from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x,\",\n \"c == \\\"%\\\": count_flag += 1 if count_lines >= 3\",\n \"!= 0 or self.distance_y != 0: dx = self.distance_x dy\",\n \") elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property def\",\n \"if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode ==\",\n \"self.laser = 0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\")\",\n \"= False self.x_on = False self.y_on = True if self.channel:\",\n \"stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state\",\n \"is executed by a P command self.paused_state = True elif\",\n \"== 0: # Homes then moves position. pass elif self.mode\",\n \"if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\"\",\n \"packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b,\",\n \"def process(self, b, c): if c == \\\"I\\\": self.finish_state =\",\n \"ox = self.x oy = self.y self.x += dx self.y\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def\",\n \"y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1))\",\n \"Numpath() def position(p): if p is None: return from_x, from_y,\",\n \"self.paused_state: # Home sequence triggered by 2 P commands in\",\n \"if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value\",\n \"parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data)\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value)\",\n \"RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None\",\n \"rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on\",\n \"\\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename\",\n \"= None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c\",\n \"which include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else:\",\n \"values. When the position is changed it calls a self.position()\",\n \"import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self,\",\n \"\\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0\",\n \"False self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Right\\\")\",\n \"\\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c\",\n \"= None self._cut = None def __repr__(self): return \\\"EGV(%s, %d\",\n \"__repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" %\",\n \"return from_x, from_y, to_x, to_y = p if parser.program_mode: if\",\n \">= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value)\",\n \"Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class\",\n \"% self.name def initialize(self, *args, **kwargs): context = self.context active\",\n \"== 2: # Rail unlocked. self.compact_state = True self.returning_finished =\",\n \"0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0})\",\n \"is None: new_cut() return from_x, from_y, to_x, to_y = p\",\n \"self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value\",\n \"if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on\",\n \"self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode\",\n \"p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos def\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value +=\",\n \"0 self.paused_state = False self.compact_state = False self.finish_state = False\",\n \"x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position\",\n \"self.distance_y = 0 ox = self.x oy = self.y self.x\",\n \"self.distance_x = 0 self.distance_y = 0 self.filename = \\\"\\\" self.laser\",\n \"True self.laser = 0 elif c == \\\"P\\\": if self.channel:\",\n \"= True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c\",\n \"self.left = not self.left self.x_on = True self.y_on = False\",\n \"LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state diagram.\",\n \"1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting\",\n \"self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if\",\n \"Dratio b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"**self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property\",\n \"self.horizontal_major: # Was T switched to B with horizontal rastering.\",\n \"pos(p): if p is None: return x0, y0, x1, y1\",\n \"self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state\",\n \"data: bytearray, name=None): self.name = name self.data = data self.operation\",\n \"= self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"== \\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\": count_flag\",\n \"self.mode = None self.number_consumer = self.mode_consumer elif c == \\\"E\\\":\",\n \"speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def\",\n \"return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state:\",\n \"self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value\",\n \"def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1:\",\n \"self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode = None\",\n \"if one exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position\",\n \"self.operation = \\\"blob\\\" self._cutcode = None self._cut = None def\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value)\",\n \"self.raster_step self.top = True self.x_on = False self.y_on = True\",\n \"= self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\")\",\n \"if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif\",\n \"+= self.raster_step self.left = False self.x_on = True self.y_on =\",\n \"3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value +=\",\n \"active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active\",\n \"self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode\",\n \"self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished:\",\n \"1 - ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\":\",\n \"= 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\":\",\n \"to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0:\",\n \"= 0 self.y = 0 self.distance_y = 0 self.distance_x =\",\n \"from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot)\",\n \"= RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is\",\n \"b, c): if c == \\\"I\\\": self.finish_state = False self.compact_state\",\n \"active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def\",\n \"self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if\",\n \"meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import\",\n \"None: return from_x, from_y, to_x, to_y = p if self.program_mode:\",\n \"self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"== \\\"%\\\": count_flag += 1 if count_lines >= 3 and\",\n \">= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value)\",\n \"position(p): if p is None: return from_x, from_y, to_x, to_y\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value +=\",\n \"+= 1 elif c == \\\"%\\\": count_flag += 1 if\",\n \"def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on:\",\n \"= None self.position = None self.board = \\\"M2\\\" self.header_skipped =\",\n \"write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data:\",\n \"in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif\",\n \"self.path = Numpath() def position(p): if p is None: return\",\n \"if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data)\",\n \"c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode =\",\n \"dx = -dx if self.top: dy = -dy self.distance_x =\",\n \"% self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"c == \\\"R\\\": # Move to Bottom if self.top and\",\n \"self._cut is None: new_cut() return from_x, from_y, to_x, to_y =\",\n \"self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on\",\n \"self.name def initialize(self, *args, **kwargs): context = self.context active =\",\n \"True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else:\",\n \"the position is changed it calls a self.position() function if\",\n \"self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y\",\n \"None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in\",\n \"load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with\",\n \"path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds\",\n \"x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1,\",\n \"self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home sequence triggered\",\n \"ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer =\",\n \"self.top: dy = -dy self.distance_x = 0 self.distance_y = 0\",\n \"= chr(b) if c == \\\"\\\\n\\\": count_lines += 1 elif\",\n \"at %d %d\\\" % (dx, dy, self.x, self.y)) def process(self,\",\n \"= False self.returning_compact = False elif c in \\\"C\\\": if\",\n \"= True self.y_on = False if self.raster_step: self.distance_y += self.raster_step\",\n \"None: new_cut() return from_x, from_y, to_x, to_y = p if\",\n \"\\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif c\",\n \"include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" %\",\n \">= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value\",\n \"name=None): self.name = name self.data = data self.operation = \\\"blob\\\"\",\n \"self.channel = None self.position = None self.board = \\\"M2\\\" self.header_skipped\",\n \"to Right. if self.left and self.horizontal_major: # Was T switched\",\n \"c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is\",\n \"context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser =\",\n \"+= c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel\",\n \"**kwargs): import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as\",\n \"# Was L switched to R with vertical rastering. if\",\n \"% active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context\",\n \"self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major\",\n \"process(self, b, c): if c == \\\"I\\\": self.finish_state = False\",\n \"self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode\",\n \"self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0)\",\n \"CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL\",\n \"str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state =\",\n \"False self.small_jump = False self.returning_compact = True self.returning_finished = False\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self,\",\n \"self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\":\",\n \"send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs):\",\n \"not self.top and not self.horizontal_major: # Was R switched to\",\n \"reconstruct the values. When the position is changed it calls\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel\",\n \"self.position = None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines\",\n \"self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y\",\n \"else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob:\",\n \"self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on\",\n \"\\\"\\\"\\\" Write data to the emulator including the header. This\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" %\",\n \"not located within the same packet. if self.position: self.position((self.x, self.y,\",\n \"self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\")\",\n \"amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x\",\n \"= \\\"blob\\\" self._cutcode = None self._cut = None def __repr__(self):\",\n \"self.raster_step else: # vertical major self.top = not self.top self.x_on\",\n \"self.raster_step self.top = False self.x_on = False self.y_on = True\",\n \"\\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c\",\n \"p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser)\",\n \"self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet):\",\n \"self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position\",\n \"# Every command in compact state executes distances. self.execute_distance() if\",\n \"CutCode() self._cut = RawCut() def new_cut(): if self._cut is not\",\n \"if self.left: dx = -dx if self.top: dy = -dy\",\n \"Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from\",\n \"command. self.laser = 0 self.compact_state = False if self.position: self.position(None)\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\"\",\n \"self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag\",\n \"0 self.distance_y = 0 ox = self.x oy = self.y\",\n \"elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\", name=basename, ) return True\",\n \"= True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": #\",\n \"if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b))\",\n \"the values. When the position is changed it calls a\",\n \"self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished\",\n \"self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer\",\n \"from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path):\",\n \"\\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename = \\\"\\\"\",\n \"= False self.count_lines = 0 self.count_flag = 0 self.settings =\",\n \"N command. self.laser = 0 self.compact_state = False if self.position:\",\n \"initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send\",\n \"= False self.horizontal_major = False self.fix_speeds = False self.number_consumer =\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step\",\n \"not self.horizontal_major: # Was L switched to R with vertical\",\n \"to Bottom if self.top and not self.horizontal_major: # Was L\",\n \"amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y +=\",\n \"def parse(self, data, elements): self.path = Numpath() def position(p): if\",\n \"if self.finish_state: # In finished all commands are black holed\",\n \"self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step\",\n \"= self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool,\",\n \"R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top\",\n \"if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value =\",\n \"= False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": #\",\n \"True self.returning_finished = False self.mode = None self.raster_step = 0\",\n \"self.distance_y += self.raster_step else: # vertical major self.top = not\",\n \"active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class\",\n \"if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value =\",\n \"self.returning_finished = True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\")\",\n \"self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on\",\n \"from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath\",\n \"None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data))\",\n \"self.mode == 0: # Homes then moves position. pass elif\",\n \"elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False\",\n \"False self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\")\",\n \"\\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif\",\n \"elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance\",\n \"== \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif\",\n \"<= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer\",\n \"self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add(\",\n \"generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data):\",\n \"None self._cutcode = None return cutcode def generate(self): yield \\\"blob\\\",\",\n \"self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x\",\n \"0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines\",\n \"= False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": #\",\n \"triggered by 2 P commands in the same packet. #\",\n \"def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped\",\n \"== \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False\",\n \"0 ox = self.x oy = self.y self.x += dx\",\n \"speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False\",\n \"c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif\",\n \"= 0 for i in range(len(data)): b = data[i] c\",\n \"+= c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode\",\n \"self.laser = 0 self.compact_state = False if self.position: self.position(None) elif\",\n \"self.execute_distance() # distance is executed by an N command. self.laser\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" %\",\n \"c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is\",\n \"self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\" % (dx,\",\n \"elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname,\",\n \"self.data = data self.operation = \\\"blob\\\" self._cutcode = None self._cut\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\"\",\n \"with a state diagram. This should accurately reconstruct the values.\",\n \"= data self.operation = \\\"blob\\\" self._cutcode = None self._cut =\",\n \"\\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" %\",\n \"\\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This\",\n \"an N command. self.laser = 0 self.compact_state = False if\",\n \"the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x\",\n \"\\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in\",\n \"Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds\",\n \"def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs):\",\n \"+= self.raster_step self.top = True self.x_on = False self.y_on =\",\n \"in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c\",\n \"i in range(len(data)): b = data[i] c = chr(b) if\",\n \"self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode\",\n \"in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c\",\n \"5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",),\",\n \"self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet)\",\n \"header_write(self, data): \\\"\\\"\\\" Write data to the emulator including the\",\n \"self.position(None) elif c == \\\"M\\\": self.x_on = True self.y_on =\",\n \"import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath\",\n \"self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\",\",\n \"%s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"dy = self.distance_y if self.left: dx = -dx if self.top:\",\n \"import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import\",\n \"self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0 if self.channel:\",\n \"and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield\",\n \"remove_header(data): count_lines = 0 count_flag = 0 for i in\",\n \"else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut\",\n \"horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True\",\n \"return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context =\",\n \"def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: #\",\n \"self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag\",\n \"len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p):\",\n \"\\\"blob\\\" self._cutcode = None self._cut = None def __repr__(self): return\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self,\",\n \"0 self.compact_state = False if self.position: self.position(None) elif c ==\",\n \"<= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False\",\n \"else 255) self.small_jump = False elif c == \\\"B\\\": #\",\n \"+= c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\"\",\n \"@property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self):\",\n \"return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser\",\n \"compact state executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25)\",\n \"\\\"L\\\": # Move to Top if not self.top and not\",\n \"0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c\",\n \"distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value))\",\n \"== \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished =\",\n \"In finished all commands are black holed return if ord(\\\"0\\\")\",\n \"if not self.left and self.horizontal_major: # Was T switched to\",\n \"\\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c\",\n \"state executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump\",\n \"position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode =\",\n \"0) != 0 def new_file(self): self.header_skipped = False self.count_flag =\",\n \"c == \\\"L\\\": # Move to Top if not self.top\",\n \"\\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left\",\n \"0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser =\",\n \"a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\"\",\n \"None self.position = None self.board = \\\"M2\\\" self.header_skipped = False\",\n \"\\\"\\\"\\\" def __init__(self): self.channel = None self.position = None self.board\",\n \"pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args,\",\n \"False self.mode = None self.raster_step = 0 self.paused_state = False\",\n \"self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser = 1 if\",\n \"self.x = 0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x\",\n \"a state diagram. This should accurately reconstruct the values. When\",\n \"\\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: #\",\n \"\\\"M\\\": self.x_on = True self.y_on = True if self.channel: a\",\n \"= None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data)\",\n \"= True if self.raster_step: self.distance_x += self.raster_step elif self.mode ==\",\n \"= self._cutcode self._cut = None self._cutcode = None return cutcode\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c):\",\n \"+= self.raster_step self.top = False self.x_on = False self.y_on =\",\n \"Homes then moves position. pass elif self.mode == 1: self.compact_state\",\n \"import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context,\",\n \"(dx, dy, self.x, self.y)) def process(self, b, c): if c\",\n \"len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" %\",\n \"vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True\",\n \"in the same packet. # This should resume if not\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 =\",\n \"= 0 count_flag = 0 for i in range(len(data)): b\",\n \"# Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact\",\n \"numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self):\",\n \"from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser:\",\n \"count_lines = 0 count_flag = 0 for i in range(len(data)):\",\n \"self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if\",\n \"= 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif\",\n \"= 0 @staticmethod def remove_header(data): count_lines = 0 count_flag =\",\n \"if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to\",\n \"self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if\",\n \"self.x_on = True self.y_on = True if self.channel: a =\",\n \"is intended for saved .egv files which include a default\",\n \"from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem\",\n \"= True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser\",\n \"dy = -dy self.distance_x = 0 self.distance_y = 0 ox\",\n \"self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif\",\n \"True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c ==\",\n \"False self.fix_speeds = False self.number_consumer = {} def parse(self, data,\",\n \"self.paused_state = False else: self.execute_distance() # distance is executed by\",\n \"elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer =\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value\",\n \"from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements\",\n \"Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context,\",\n \"self.filename = \\\"\\\" self.laser = 0 self.left = False self.top\",\n \"0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0\",\n \"= Numpath() def position(p): if p is None: return from_x,\",\n \"parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode\",\n \"self.finish_state = True self.paused_state = False else: self.execute_distance() # distance\",\n \"= -dx if self.top: dy = -dy self.distance_x = 0\",\n \"\\\"\\\" if self.compact_state: # Every command in compact state executes\",\n \"if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to\",\n \"self.x oy = self.y self.x += dx self.y += dy\",\n \"0 if self.finish_state: # In finished all commands are black\",\n \"self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b))\",\n \"count_flag += 1 if count_lines >= 3 and count_flag >=\",\n \"self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at %d\",\n \"self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds\",\n \"= False self.compact_state = False self.finish_state = False self.horizontal_major =\",\n \"# Home sequence triggered by 2 P commands in the\",\n \"def remove_header(data): count_lines = 0 count_flag = 0 for i\",\n \"= False elif c == \\\"B\\\": # Move to Right.\",\n \"= True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left\",\n \"LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if\",\n \"%d\\\" % (dx, dy, self.x, self.y)) def process(self, b, c):\",\n \"T switched to B with horizontal rastering. if self.raster_step: self.distance_y\",\n \"parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def\",\n \"dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving\",\n \"same packet. # This should resume if not located within\",\n \"import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f:\",\n \"if p is None: return from_x, from_y, to_x, to_y =\",\n \"\\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False\",\n \"self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step = None\",\n \"= 0 self.distance_x = 0 self.finish_state = True self.paused_state =\",\n \"c): self.number_value += c if len(self.number_value) >= 3: if self.channel:\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2\",\n \"self.small_jump = True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b\",\n \"self.paused_state = False self.distance_x = 0 self.distance_y = 0 if\",\n \"self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home sequence\",\n \"= False self.x_on = False self.y_on = False self.small_jump =\",\n \"self.left and self.horizontal_major: # Was T switched to B with\",\n \"elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump\",\n \"c == \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\")\",\n \"<= b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump\",\n \"= self.distance_y if self.left: dx = -dx if self.top: dy\",\n \"Axis: h=\\\" + str(self.x_on)) elif self.mode == 2: # Rail\",\n \"rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on\",\n \"to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step\",\n \"if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y\",\n \"self.left = False self.top = False self.x_on = False self.y_on\",\n \"0 for i in range(len(data)): b = data[i] c =\",\n \"\\\"T\\\": # Move to Left if not self.left and self.horizontal_major:\",\n \"Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path)\",\n \"= int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self,\",\n \"for i in range(len(data)): b = data[i] c = chr(b)\",\n \"self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step\",\n \"self.returning_compact = False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\")\",\n \"by 2 P commands in the same packet. # This\",\n \"self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every\",\n \"self.top = False self.x_on = False self.y_on = True if\",\n \"= CutCode() self._cut = RawCut() def new_cut(): if self._cut is\",\n \"self.number_consumer = {} def parse(self, data, elements): self.path = Numpath()\",\n \"self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\":\",\n \"self.horizontal_major: # Was L switched to R with vertical rastering.\",\n \"it calls a self.position() function if one exists. \\\"\\\"\\\" def\",\n \"255) self.small_jump = False elif c == \\\"B\\\": # Move\",\n \"Move to Right. if self.left and self.horizontal_major: # Was T\",\n \"self.left: dx = -dx if self.top: dy = -dy self.distance_x\",\n \"c == \\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\":\",\n \"self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def\",\n \"0 or self.distance_y != 0: dx = self.distance_x dy =\",\n \"b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value\",\n \"self.position: self.position(None) elif c == \\\"M\\\": self.x_on = True self.y_on\",\n \"dy, self.x, self.y)) def process(self, b, c): if c ==\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value\",\n \"or self.distance_y != 0: dx = self.distance_x dy = self.distance_y\",\n \"if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode =\",\n \"self._cutcode = None self._cut = None def __repr__(self): return \\\"EGV(%s,\",\n \"self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\"\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value +=\",\n \"0 self.y = 0 self.distance_y = 0 self.distance_x = 0\",\n \"self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c\",\n \"self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser\",\n \"self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif c ==\",\n \"self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod\",\n \"diagram. This should accurately reconstruct the values. When the position\",\n \"oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at\",\n \"Move to Left if not self.left and self.horizontal_major: # Was\",\n \"0 count_flag = 0 for i in range(len(data)): b =\",\n \"if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser =\",\n \"def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active\",\n \"def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\",\",\n \"self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if\",\n \"self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if\",\n \"= self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active)\",\n \"if not located within the same packet. if self.position: self.position((self.x,\",\n \"if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: #\",\n \"self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines\",\n \"Right. if self.left and self.horizontal_major: # Was T switched to\",\n \"with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add(\",\n \"p is None or self._cut is None: new_cut() return from_x,\",\n \"(\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os\",\n \"else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal\",\n \"self.channel(\\\"Moving (%d %d) now at %d %d\\\" % (dx, dy,\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def\",\n \"= \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value +=\",\n \"% (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode =\",\n \"self.returning_compact = False self.returning_finished = True elif c == \\\"@\\\":\",\n \"Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0\",\n \"self.x += dx self.y += dy if self.position: self.position((ox, oy,\",\n \"= True self.laser = 0 elif c == \\\"P\\\": if\",\n \"self.top = True self.x_on = False self.y_on = True if\",\n \"= self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\")\",\n \"parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None\",\n \"as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut()\",\n \"dx = self.distance_x dy = self.distance_y if self.left: dx =\",\n \"a self.position() function if one exists. \\\"\\\"\\\" def __init__(self): self.channel\",\n \"True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0:\",\n \"True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c ==\",\n \"self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step =\",\n \"0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True\",\n \"if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not\",\n \"% active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code\",\n \"self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode == 2:\",\n \"def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0:\",\n \"self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL)\",\n \"Off\\\") elif c == \\\"D\\\": self.laser = 1 if self.channel:\",\n \"if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top\",\n \"self.distance_y = 0 if self.finish_state: # In finished all commands\",\n \"self.small_jump = False elif c == \\\"B\\\": # Move to\",\n \"= False self.mode = None self.raster_step = 0 self.paused_state =\",\n \"self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if\",\n \"= False self.x_on = True self.y_on = False if self.channel:\",\n \"elif c == \\\"R\\\": # Move to Bottom if self.top\",\n \"False self.returning_compact = True self.laser = 0 elif c ==\",\n \"count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod\",\n \"= \\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag =\",\n \"self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif\",\n \"self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set\",\n \"in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer =\",\n \"header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data)\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value\",\n \"= False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c\",\n \"% (dx, dy, self.x, self.y)) def process(self, b, c): if\",\n \"from meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from\",\n \"This is intended for saved .egv files which include a\",\n \"= dict(parser.settings) def position(p): if p is None or self._cut\",\n \"self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode\",\n \"context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds =\",\n \"self.top and not self.horizontal_major: # Was L switched to R\",\n \"self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def\",\n \"data): \\\"\\\"\\\" Write data to the emulator including the header.\",\n \"L switched to R with vertical rastering. if self.raster_step: self.distance_x\",\n \"\\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c\",\n \"B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"None self._cut = None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\"\",\n \"None self.raster_step = 0 self.paused_state = False self.compact_state = False\",\n \"self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c ==\",\n \"to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x,\",\n \"bytearray, name=None): self.name = name self.data = data self.operation =\",\n \"Mode = %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value =\",\n \"self.execute_distance() # distance is executed by a P command self.paused_state\",\n \"return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0,\",\n \"self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def\",\n \">= 5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\",\",\n \"if self.small_jump else 255) self.small_jump = False elif c ==\",\n \"def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1:\",\n \"LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag\",\n \">= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data\",\n \"self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is None:\",\n \"ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False elif\",\n \"True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move\",\n \"= int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self,\",\n \"if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True\",\n \"pass elif self.mode == 1: self.compact_state = True self.horizontal_major =\",\n \"c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if\",\n \"self.compact_state = False if self.position: self.position(None) elif c == \\\"M\\\":\",\n \"= self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount\",\n \"elif c == \\\"L\\\": # Move to Top if not\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1\",\n \"self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value)\",\n \"1 if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if\",\n \"class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name\",\n \"len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else:\",\n \"# Homes then moves position. pass elif self.mode == 1:\",\n \"self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings)\",\n \"# This should resume if not located within the same\",\n \"elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1 -\",\n \"def __init__(self): self.channel = None self.position = None self.board =\",\n \"def write(self, data): for b in data: self.process(b, chr(b)) def\",\n \"self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: #\",\n \"or self._cut is None: new_cut() return from_x, from_y, to_x, to_y\",\n \"== 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut()\",\n \"return from_x, from_y, to_x, to_y = p if self.program_mode: if\",\n \"if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d\",\n \"len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\" %\",\n \"command in compact state executes distances. self.execute_distance() if c ==\",\n \"% (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None):\",\n \"self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\":\",\n \"path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return\",\n \"self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel\",\n \"-dy self.distance_x = 0 self.distance_y = 0 ox = self.x\",\n \"= self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every command\",\n \"a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data =\",\n \"= not self.top self.x_on = False self.y_on = True if\",\n \"else: self.execute_distance() # distance is executed by a P command\",\n \"self.distance_y if self.left: dx = -dx if self.top: dy =\",\n \"= 0 ox = self.x oy = self.y self.x +=\",\n \"\\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state = False\",\n \"c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <=\",\n \"state diagram. This should accurately reconstruct the values. When the\",\n \"and not self.horizontal_major: # Was R switched to L with\",\n \"return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader:\",\n \"cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod\",\n \"self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value =\",\n \"@staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for\",\n \"self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if\",\n \"0 if self.paused_state: # Home sequence triggered by 2 P\",\n \"self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines =\",\n \"if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0\",\n \"is None: return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\",\",\n \"elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\"\",\n \"sequence triggered by 2 P commands in the same packet.\",\n \"is executed by an N command. self.laser = 0 self.compact_state\",\n \"moves position. pass elif self.mode == 1: self.compact_state = True\",\n \"parse(self, data, elements): self.path = Numpath() def position(p): if p\",\n \"to the emulator including the header. This is intended for\",\n \"True if self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\"\",\n \"@property def default_mode(self): return not self.compact_state @property def raster_mode(self): return\",\n \"\\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser =\",\n \"to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y),\",\n \"commands in the same packet. # This should resume if\",\n \"self.returning_compact = True self.laser = 0 elif c == \\\"P\\\":\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step =\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c):\",\n \"%d %d\\\" % (dx, dy, self.x, self.y)) def process(self, b,\",\n \"= self.distance_x dy = self.distance_y if self.left: dx = -dx\",\n \"= 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code =\",\n \"\\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c\",\n \"c): self.number_value += c if len(self.number_value) >= 1: if self.channel:\",\n \"0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position\",\n \"to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step\",\n \"header. This is intended for saved .egv files which include\",\n \"self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an N command.\",\n \"self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer\",\n \"if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel:\",\n \"count_lines >= 3 and count_flag >= 5: return data[i:] def\",\n \"raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"Home sequence triggered by 2 P commands in the same\",\n \"self.left = False self.x_on = True self.y_on = False if\",\n \"self._cut.settings = dict(parser.settings) def position(p): if p is None or\",\n \"self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return x0, y0,\",\n \"0 self.filename = \\\"\\\" self.laser = 0 self.left = False\",\n \"1 if count_lines >= 3 and count_flag >= 5: return\",\n \"def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def\",\n \"self.board = \\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag\",\n \"class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state\",\n \"== \\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state =\",\n \"to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path,\",\n \"self.position() function if one exists. \\\"\\\"\\\" def __init__(self): self.channel =\",\n \"dict(parser.settings) def position(p): if p is None or self._cut is\",\n \"black holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c)\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\"\",\n \"self.raster_step self.left = True self.x_on = True self.y_on = False\",\n \"c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value\",\n \"and not self.horizontal_major: # Was L switched to R with\",\n \"- ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\": self.append_distance(26\",\n \"self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob: def __init__(self,\",\n \"are black holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"):\",\n \"code with a state diagram. This should accurately reconstruct the\",\n \"False self.returning_compact = True self.returning_finished = False self.mode = None\",\n \"self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to Bottom\",\n \"\\\"%\\\": count_flag += 1 if count_lines >= 3 and count_flag\",\n \"%d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser()\",\n \"None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class\",\n \"if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to\",\n \"3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value\",\n \".egv files which include a default header. \\\"\\\"\\\" if self.header_skipped:\",\n \"self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def\",\n \"context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" %\",\n \"20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0 self.y\",\n \"0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x = 0\",\n \"# distance is executed by a P command self.paused_state =\",\n \"self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top =\",\n \"b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\"\",\n \"# Was R switched to L with vertical rastering. if\",\n \"y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position =\",\n \"= 0 self.filename = \\\"\\\" self.laser = 0 self.left =\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def\",\n \"def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in\",\n \"to Top if not self.top and not self.horizontal_major: # Was\"\n]","isConversational":false}}},{"rowIdx":794,"cells":{"ngram":{"kind":"list like","value":["MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for",":param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","__init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost:","self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host","self.ID = None self.User = None self.Host = None self.DB","12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime:","params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime:","are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self):","self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema","\"\"\" self.AsyncRequestId = None self.Source = None self.Progress = None","self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\"","fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计","\",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId:","\"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount:","str :param InstanceId: 实例 ID 。 :type InstanceId: str :param","ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation:","str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime:","- 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None","self.Product = None self.Names = None def _deserialize(self, params): self.Product","返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy:","None self.Events = None self.TotalCount = None def _deserialize(self, params):","for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime","保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type","def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param","AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type",":param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit:","DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus:","int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。","MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items():",":type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param","of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore:","of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","- 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" -","= params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name,","str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。","for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset:","params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\")","def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set","InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region:","class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params):",":type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType = None","float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数","License for the specific language governing permissions and # limitations","高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" -",":type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\"","Regions: 根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported =","params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","\",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of","实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str","list of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime =","not None: self.Tasks = [] for item in params.get(\"Tasks\"): obj","-*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent","None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\"Id\")","= params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg =","Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem:","\"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int","\"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem:","int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str","= params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items():","是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type","params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\")","- 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param","str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。","int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。","def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\"","= None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg =","= params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\")",":param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type",":param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type",":type Info: str \"\"\" self.ID = None self.User = None","DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","OF ANY KIND, either express or implied. # See the","list of str :param Regions: 根据地域条件查询。 :type Regions: list of","\"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list","float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒","= None self.EndTime = None self.RequestId = None def _deserialize(self,","= params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax =","\"\"\" self.ProfileType = None self.Product = None self.Offset = None","of str \"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName","= None self.StartTime = None self.Suggestions = None self.Metric =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\"","None self.SqlTemplate = None self.SqlText = None self.Schema = None","= params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name,","self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime","params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\")","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period","params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self):","服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list","self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory","None self.Vport = None self.Source = None self.GroupId = None",":type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param","params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime =","ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type","All Rights Reserved. # # Licensed under the Apache License,","= params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan =","class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。","str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param","def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables =","self.Offset = None self.Limit = None self.Product = None def","not use this file except in compliance with the License.","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体","class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","__init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem","\"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId:","self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self):","def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param","None self.StartTime = None self.EndTime = None self.SortBy = None","params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\")","def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set","list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int","self.StartDate = None self.EndDate = None self.Product = None def","EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName","self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId","self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime","None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None","CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type","ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId","SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体","list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。","are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self):","RequestId。 :type RequestId: str \"\"\" self.Tasks = None self.TotalCount =","float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime =","RequestId: str \"\"\" self.Advices = None self.Comments = None self.SqlText","\"\"\" self.TotalCount = None self.Tasks = None self.RequestId = None","RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime","Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore:","are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self):","ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType =","= None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self,","params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys())","of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId:",":param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product:",":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type","AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" -","\"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection:","None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\")","Count: 告警数目。 :type Count: int \"\"\" self.EventId = None self.DiagType","InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。","self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount","self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength","params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\")","SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求","self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength","class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例",":param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type","params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\")","TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period =","are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self):","params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\")","TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count:",":param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param","self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId","GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName:","InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region:",":param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type","params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\")","self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not","= params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost =","云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2","fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def","not None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj","InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。","_deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set =","self.EventId = None self.DiagType = None self.StartTime = None self.EndTime","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Tasks =","\",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType:","for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount","item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId =","params.get(\"Events\") is not None: self.Events = [] for item in","self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count","fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def","self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self):","严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str",":param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param",":param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10","obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId =","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。","Product: str \"\"\" self.InstanceId = None self.ID = None self.User","str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。","= None self.Limit = None self.ProfileName = None def _deserialize(self,","DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type","\",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language:","self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData =","useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\"","\"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","\"\"\" self.InstanceId = None self.InstanceName = None self.Vip = None",":type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema = None","str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。","发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str",":param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type","\"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list","params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class",":type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param","= None self.AvailableDays = None self.RequestId = None def _deserialize(self,","are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self):","params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\")",":param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" -","class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。","TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost:","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int","params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of",":type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param","if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set","obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def","健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\",","= params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set =","def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total","= None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None:","DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type","def __init__(self): r\"\"\" :param Id: 组id。 :type Id: int :param","params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in","str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\"","= params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime =","EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID","None self.Metric = None self.EndTime = None self.RequestId = None","self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not","- 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product:","None self.TotalCount = None self.RequestId = None def _deserialize(self, params):",":param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type","str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\"","str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。","self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for","= params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost =","r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema =","\",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries:","日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1","\"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type","None self.Product = None self.EngineVersion = None def _deserialize(self, params):","\"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema:","\"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params):",":type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行；","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth =","= params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit =","params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups = [] for","任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体","\"\"\" self.Metric = None self.Unit = None self.Values = None","= None self.InstanceNames = None self.InstanceIds = None self.Regions =","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads = None","MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str",":param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type","self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set","in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\")","self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set","params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\")","self.SortBy = None self.OrderBy = None self.Limit = None self.Offset","null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type","params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\")","float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数","= None self.Offset = None self.Limit = None self.ProfileName =","None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\")","= params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume","- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\"","implied. # See the License for the specific language governing","params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\")",":param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type","if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set","self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData =","实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type","None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None","QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio:","params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value","分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str","AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str","= params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str","EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str","= params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def","self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in","线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Groups =","params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId",":param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type","params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\")","CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","str \"\"\" self.InstanceId = None self.RangeDays = None self.Product =","self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\"","% \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.Product = None self.InstanceIds = None def _deserialize(self, params): if",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries",":type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int","Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress:","self.Severity = None self.StartTime = None self.Suggestions = None self.Metric","= None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType =",":type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\"","params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\")","float \"\"\" self.TableSchema = None self.DataLength = None self.IndexLength =","self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class",":param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData:","float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒","= params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText =","r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。","TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength:","实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type","the specific language governing permissions and # limitations under the","useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\"","\"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads:","Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\"","DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for item in","Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB:","params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\")","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。","None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\")","= params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit =","实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int","= None self.UniqSubnetId = None self.DeployMode = None self.InitFlag =","obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def","self.StartTime = None self.EndTime = None self.CreateTime = None self.Status","str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId =","None self.InstanceIds = None self.Sources = None self.HealthLevels = None",":param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\"",":param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type","__init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel:","None self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\") is","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int","= params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items():","= None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo =","\"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo =","Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为","params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events =","self.Events = [] for item in params.get(\"Events\"): obj = DiagHistoryEventItem()","str \"\"\" self.Events = None self.RequestId = None def _deserialize(self,","self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit","SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str","TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。","self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo =","params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\")","= None self.ProfileName = None self.BindInstanceId = None self.Product =","UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode:","None self.Suggestions = None self.Metric = None self.EndTime = None",":type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize:","RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin:","class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。","Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem:",":type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of","实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\"","params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\")","= None self.RequestId = None def _deserialize(self, params): self.Threads =",":type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel):","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson","params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\")","BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo =","= None self.ScoreLost = None self.ScoreLostMax = None self.Items =","are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self):","ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","\"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName:","useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\"","RequestId: str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId","实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName =","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","= params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","[] for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj)","self.Name = None self.Mail = None def _deserialize(self, params): self.Id",":type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param","Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength:","params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails","12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\"","self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId","self.TableSchema = None self.Engine = None self.SeriesData = None def","self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体","self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set","\"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series:","str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。","None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\")",":type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。","params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\")","params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\")","RequestId: str \"\"\" self.ProfileList = None self.TotalCount = None self.RequestId","RequestId。 :type RequestId: str \"\"\" self.Growth = None self.Remain =","for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp",":param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type","- 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param","params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\")","useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\"","useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\"","= IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\")","云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds:","def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param","params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId","params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys())","= params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def","= SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体","str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage =","None self.BindInstanceId = None self.Product = None def _deserialize(self, params):",":type Metric: str :param Count: 告警数目。 :type Count: int \"\"\"",":param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\"","= None self.StartTime = None self.EndTime = None self.Product =","None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\")","params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。","\"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries:","\"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql","of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self):","\"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str","self.Explanation = None self.Outline = None self.Problem = None self.Severity","UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf:","self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value","= params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId =","fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def","= params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set =","params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value","item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\")","严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str","params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。","params.get(\"Names\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间","% \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","% \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","% \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId:",":param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId:","\"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None","= None self.EndTime = None self.SortBy = None self.OrderBy =","int \"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime =","QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg:","params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\")","self.InstanceId = None self.EventId = None self.Product = None def",":param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type","None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None","params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name, value","list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param",":type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param","str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product:",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId",":type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type","def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of","。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库",":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName:","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Stage =","self.Growth = None self.Remain = None self.Total = None self.AvailableDays","params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class","__init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events:","r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param","12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime:","= None def _deserialize(self, params): if params.get(\"Series\") is not None:","各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","= params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline =","_deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes = []","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\"","Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str","self.Source = None self.GroupId = None self.GroupName = None self.Status",":type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" -","self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength","= None self.Tables = None self.SqlPlan = None self.Cost =","None self.Total = None self.AvailableDays = None self.RequestId = None","None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\")","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体","EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion:","self.Volume = None self.EngineVersion = None self.Vip = None self.Vport","params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\")","Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。","str \"\"\" self.IsSupported = None self.Product = None self.Offset =","= None self.Progress = None self.CreateTime = None self.StartTime =","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either",":param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param","class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。","ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type","list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int","MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str","Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param","None self.Count = None self.ScoreLost = None def _deserialize(self, params):","- 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson:","\"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type","RequestId。 :type RequestId: str \"\"\" self.RequestId = None def _deserialize(self,","Vip: str :param Vport: 内网端口。 :type Vport: int :param Source:","a Tencent company. All Rights Reserved. # # Licensed under","= params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None:","Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str","库名。 :type Schema: str \"\"\" self.InstanceId = None self.SqlText =","% \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param","= None self.Region = None def _deserialize(self, params): self.DiagType =","% \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime",":param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime:","Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name:","= params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows =","self.Severity = None self.ScoreLost = None self.Metric = None self.Count","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas =","Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set))","= None self.EndTime = None self.Product = None self.DangerLevels =","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime","InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus:","= None self.TaskStatuses = None self.Offset = None self.Limit =",":param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。","self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio","Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" -","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。","开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type","of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"",":param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None","Product: str \"\"\" self.InstanceId = None self.EventId = None self.Product","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId =","= params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set =","self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime","SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type","self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds","= None self.RequestId = None def _deserialize(self, params): self.TotalCount =",":type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param","Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","if params.get(\"Groups\") is not None: self.Groups = [] for item","= None self.EventCount = None self.InstanceType = None self.Cpu =","Product: str \"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product",":type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param","self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset","= params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set =",":type Md5: str \"\"\" self.LockTime = None self.LockTimeMax = None","= None self.State = None self.Command = None self.Time =","the License is distributed on an \"AS IS\" BASIS, #","self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset","= None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax =","int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\")","库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str","None self.EngineVersion = None self.Vip = None self.Vport = None","\"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\"","Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:","class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。","QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent:","SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param","params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\")","配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName:",":param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。",":param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type","\"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None","None self.Threads = None self.SqlExecId = None self.Product = None",":type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。",":param EventId: 事件 ID 。 :type EventId: int :param Explanation:","None self.Product = None self.AsyncRequestIds = None self.Offset = None","self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio",":param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\"",":param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type","_deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo()",":param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str","EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu:",":param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.EventId","None self.Limit = None self.SortBy = None self.StartDate = None","LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg:","fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def",":type Schema: str \"\"\" self.Schema = None def _deserialize(self, params):","useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\"","返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int","= None self.HealthStatus = None self.ContactPerson = None self.ContactGroup =","None self.Volume = None self.EngineVersion = None self.Vip = None","Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory:",":type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName = None","Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion:",":param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param",":type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param","Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int","TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\"","= None self.EngineVersion = None self.Vip = None self.Vport =","def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId:",":type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int","this file except in compliance with the License. # You","ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。","返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。","params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys())","of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","__init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo:","self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin","SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str",":type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of",":param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type","配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str",":type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\"","self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set","THL A29 Limited, a Tencent company. All Rights Reserved. #","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None","DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength:","Host: str :param DB: 线程的操作数据库。 :type DB: str :param State:","self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set",":type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class","self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class","排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int","str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。","EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for","self.ProfileList = None self.TotalCount = None self.RequestId = None def","self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio","= params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength =","RequestId: str \"\"\" self.Data = None self.RequestId = None def","= params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes =","None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None","None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\")","self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads","ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。","params): if params.get(\"Tasks\") is not None: self.Tasks = [] for","self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if","DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State:","class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件","RequestId: str \"\"\" self.Urls = None self.RequestId = None def","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage",":type Metric: str :param Region: 地域。 :type Region: str \"\"\"","params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置","Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names:","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time",":type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体","\"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId","None: self.Series = [] for item in params.get(\"Series\"): obj =","InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\"","__init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param","= None self.Product = None self.BindInstanceIds = None def _deserialize(self,","r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\"","= params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries = []",":param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type","self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId","实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str","\"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime:","str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language =","self.Product = None self.Offset = None self.Limit = None self.InstanceNames","None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\")","self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId",":param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" -","__init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries:","筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate:","self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set","None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is","str :param EventId: 事件 ID 。 :type EventId: int :param","self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product",":param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type","self.Id = None self.RequestId = None def _deserialize(self, params): self.Id","= GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体","None self.Remain = None self.Total = None self.AvailableDays = None",":param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param","InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId:","self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries()","None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs","self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set","\"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables:",":param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type","useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\"","def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail",":type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus:","self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId","\"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list","= None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId =","None self.Offset = None self.Limit = None self.InstanceNames = None","params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\")","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads = None self.SqlExecId","库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData`","are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self):","Product: str \"\"\" self.InstanceId = None self.Time = None self.Product","str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括：","params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\")","params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount:","str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。","self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体","= None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection =","= params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region =","str \"\"\" self.Advices = None self.Comments = None self.SqlText =","params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\")",":type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str",":param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None","params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","\"\"\" self.Tasks = None self.TotalCount = None self.RequestId = None","int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\")","= params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\")","def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5","= params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product =","是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" -","RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes:","SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type","def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param",":class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId =","DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State:","= None self.IssueType = None self.TopSeverity = None self.Count =","License is distributed on an \"AS IS\" BASIS, # WITHOUT","License, Version 2.0 (the \"License\"); # you may not use","params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions =",":type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param",":param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type","self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def","useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\"","\"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list","self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus","Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem:","None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\")","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体","useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\"","= ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体",":param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType:","{instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" -","def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset","not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product","is not None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"):","self.InstanceId = None self.Limit = None self.SortBy = None self.Product","of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int","params.get(\"Items\") is not None: self.Items = [] for item in","in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\")","params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\"))","params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration","ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail","Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param","self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline",":class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None def _deserialize(self,","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy =","= params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline =","\"\"\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params):","% \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type","% \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" -","\",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period:","__init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData:","注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore =","HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None self.Progress",":param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None","SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str","= None self.Severity = None self.StartTime = None self.Suggestions =","= params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in vars(self).items():","params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime =","str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels:","if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions","TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost","StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type","fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def","AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product:","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in","int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。","params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\")","12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list","self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses","TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf:","r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志","InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int","str \"\"\" self.Schema = None def _deserialize(self, params): self.Schema =","params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId","= None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost =","开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused：","= params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product =","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity =","self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not","str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。","实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int","None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows","def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices = None self.Comments","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel):",":type SqlText: str :param Schema: 库名。 :type Schema: str :param",":type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param","LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax:","self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for","params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\")","TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int","r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source:","self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows","StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime:","StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。","of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName:","查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库",":param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回","obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items():","= None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None:","\",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId:","self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId","= None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime =",":type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param","is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\")","float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位%","sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str","Timestamp: list of int \"\"\" self.Series = None self.Timestamp =","= None self.RequestId = None def _deserialize(self, params): self.DiagItem =",":param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail","= None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel =","= params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress =","None self.Command = None self.Time = None self.Info = None","= params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo()","params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys())","\"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type","DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree:","params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体","[] for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj)","StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param","TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type",":type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param","= None self.InitFlag = None self.TaskStatus = None self.UniqVpcId =","\"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem:","= None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo =","\"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None","= None self.Names = None def _deserialize(self, params): self.Product =","self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus","= None self.TotalSize = None self.DangerLevels = None def _deserialize(self,","= None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate =","params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\")",":param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括：","fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def","self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\") is not","\"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type Count:","self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList","= params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set =","= params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in vars(self).items():","总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float","\"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type","self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName","None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\")","任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list","is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\")","None: self.Items = [] for item in params.get(\"Items\"): obj =","DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。","__init__(self): r\"\"\" :param Count: 总数 :type Count: int :param Timestamp:","RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime:",":type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param","EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。","数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay:","self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus",":param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type","_deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = []","Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline:","str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。","self.Product = None self.EventCount = None self.InstanceType = None self.Cpu","list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param","实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体","None self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\") is",":type SqlText: str :param Schema: 库名。 :type Schema: str \"\"\"","组成员数量。 :type MemberCount: int \"\"\" self.Id = None self.Name =","TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows:","def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\"","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables =","索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float","fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def","__init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product:","self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost","params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\")",":param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type","QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin:","None self.Comments = None self.SqlText = None self.Schema = None","= params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem =","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None:","ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\")","__init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str","\"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount","实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str","useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\"","\",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName:",":type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param","r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。","HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount:","writing, software # distributed under the License is distributed on","is not None: self.Groups = [] for item in params.get(\"Groups\"):","params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is","= params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","not None: self.Contacts = [] for item in params.get(\"Contacts\"): obj","= params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name,","params.get(\"Values\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\"","Count: int \"\"\" self.UserHost = None self.Ratio = None self.Count","params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore","params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value","InstanceIds: list of str \"\"\" self.InstanceConfs = None self.Regions =","BindInstanceIds: list of str \"\"\" self.ProfileInfo = None self.ProfileLevel =","not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for","self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate","None: self.ProcessList = [] for item in params.get(\"ProcessList\"): obj =","params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo:","None self.SqlPlan = None self.Cost = None self.RequestId = None","数据库名称 :type Schema: str \"\"\" self.Schema = None def _deserialize(self,","GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId:","= None self.LogStartTime = None self.LogEndTime = None self.TotalSize =","self.ScoreLost = None self.ScoreLostMax = None self.Items = None def","None self.Product = None self.InstanceIds = None def _deserialize(self, params):","InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId","ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。","ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax =","= params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set =",":param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type","None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None","= None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax =","self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\"))","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\"","None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\")","params.get(\"Info\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= None self.Outline = None self.Problem = None self.Severity =","\"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId:","安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。","self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if","= params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax =","HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of","任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema","= None self.Contacts = None self.RequestId = None def _deserialize(self,","self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails =",":type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\"",":type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\"","useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\"",":type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp:","= params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume =","UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class","Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume:","TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float","self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\"","str \"\"\" self.Period = None self.TimeSeries = None self.SeriesData =",":type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\"","params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType:","params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for item in","None self.GroupId = None self.GroupName = None self.Status = None","None self.Progress = None self.LogStartTime = None self.LogEndTime = None","list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\"","根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type","params): if params.get(\"Events\") is not None: self.Events = [] for","self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus","健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param",":param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str",":param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type","\"\"\" self.Advices = None self.Comments = None self.SqlText = None","in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\")","是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list","= params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","\",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes:","EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore:","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id =","self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\"","None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None","self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def","Schema: 数据库名称 :type Schema: str \"\"\" self.Schema = None def","self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name, value in","is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys())","params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\"))","None self.SqlText = None self.Schema = None self.Tables = None","are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self):","self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported","useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\"",":type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param","诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str","self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore","def _deserialize(self, params): if params.get(\"Data\") is not None: self.Data =","params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode:","self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId","= None self.MemberCount = None def _deserialize(self, params): self.Id =","Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str","= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product =","GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type","None self.Outline = None self.Severity = None self.ScoreLost = None",":type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp:","\"\"\" self.ProfileList = None self.TotalCount = None self.RequestId = None","params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\")",":param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type","self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType","\"\"\" self.Name = None self.ContactInfo = None self.Product = None","self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize","self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId","params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set","def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\"","DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type","Rights Reserved. # # Licensed under the Apache License, Version","None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\")","def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list of","WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。","if params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for item","\"\"\" self.InstanceId = None self.SqlText = None self.Schema = None","r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。","and # limitations under the License. import warnings from tencentcloud.common.abstract_model",":type RequestId: str \"\"\" self.Period = None self.TimeSeries = None","= None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType =","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks =","in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are","= [] for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item)","fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def","SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。","% \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\")",":param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\")","实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" -","= params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def","= None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel =",":param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product","useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\"","TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items:","= None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self,",":type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param","事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status =","None self.SqlExecId = None self.RequestId = None def _deserialize(self, params):","self.Id = None self.Name = None self.MemberCount = None def","__init__(self): r\"\"\" :param EventId: 事件 ID 。 :type EventId: int","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\")","= None self.Events = None self.TotalCount = None def _deserialize(self,","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product =","= None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType =","EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体","% \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param","self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount","_deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId =","Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName:","= params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId =","fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def","self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time","EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","under the Apache License, Version 2.0 (the \"License\"); # you",":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:",":type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param","安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type","SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate:","self.ProfileType = None self.Product = None self.BindInstanceIds = None def","云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。","= params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in vars(self).items():","params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\")","= params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items = []","Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds:","__init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str",":type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\"","= params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\")","= SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys())","Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product:","配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str","str \"\"\" self.DiagItem = None self.DiagType = None self.EventId =","None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\")","for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql","= params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set","= DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体","Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product:","StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。","list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","None def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is","not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class","class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。","params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value","异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str","= None self.StartTime = None self.EndTime = None self.SendMailFlag =","self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema","def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\"","self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize","\"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks:","2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved.","= None self.DiagType = None self.EventId = None self.Explanation =","str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product:","% \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param","float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值","str \"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin =","self.DB = None self.State = None self.Command = None self.Time","Product: str \"\"\" self.InstanceId = None self.Limit = None self.SortBy","= params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name","params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","[] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj)","useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\"","if params.get(\"Rows\") is not None: self.Rows = [] for item","params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys())","TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength:","Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total:","ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type","最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int","SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求","Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product =","None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\")","params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\")",":param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type","self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product","ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str","\"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items():","\",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth:","self.EndTime = None self.Product = None self.DangerLevels = None def",":type Product: str \"\"\" self.InstanceId = None self.Stage = None","is not None: self.Events = [] for item in params.get(\"Events\"):",":type EndTime: str :param Outline: 概要。 :type Outline: str :param","r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param","null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength =","= None self.OrderBy = None self.Limit = None self.Offset =","DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type","LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin:","self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId",":type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp:","self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items =","self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in","r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType:","str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10","\"\"\" self.IsSupported = None self.Product = None self.Offset = None","for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId","self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId","self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp","def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count",":param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\")","params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\")","实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime:",":type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param","分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int","either express or implied. # See the License for the",":param Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。",":param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels:","self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\"","in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\")","are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self):","= None self.Status = None self.Progress = None self.LogStartTime =","= None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg =","= params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State =","None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is","AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product:","is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\")","self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name, value in","self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks = []","= None def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\")","= None self.Vip = None self.Vport = None self.Source =","ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。","TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize:","self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in",":param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type","SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括：","self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric","self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime","params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\")","None self.Values = None def _deserialize(self, params): self.Metric = params.get(\"Metric\")","params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\")","def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText","params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId =",":param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None","筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括：","\"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None","Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product:","self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count","self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\"","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel):","RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin:","InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。","_deserialize(self, params): if params.get(\"Data\") is not None: self.Data = HealthScoreInfo()","配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" -","params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。","利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class","class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。","健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" -","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId",":type RequestId: str \"\"\" self.Data = None self.RequestId = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\"","DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type","list of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","self.RequestId = None def _deserialize(self, params): self.Period = params.get(\"Period\") if","self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType","= params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup =","self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","None def _deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList","self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows","= MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in","InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads:","self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime","= params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name,","SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate:","= [] for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item)",":type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。","is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"):","__init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time:","None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\")","Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions:",":param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type","RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID，","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None:","self.Tasks = [] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo()","if params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for item","Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type",":param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions:","ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType:","obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel):","of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int","DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type","top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId:","use this file except in compliance with the License. #","None self.Product = None self.EventCount = None self.InstanceType = None","SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\"","self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class","are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self):",":param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type","ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type","\"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost:","Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\"","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\"","str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\"","params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if",":param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status:","表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema =","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem =",":type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName:","item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount =",":type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param",":param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo",":type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。","\"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType:","Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list",":param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\"","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel):","self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\"","偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list","Limited, a Tencent company. All Rights Reserved. # # Licensed","查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type","线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str",":type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups =","self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set","= params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value","self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName","% \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline","Names: list of str \"\"\" self.Product = None self.Names =","params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\")","InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list","None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None","DiagType: str :param EventId: 事件 ID 。 :type EventId: int","self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param","params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\")","params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value","self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self):",":param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type","self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit","params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","= None self.RequestId = None def _deserialize(self, params): if params.get(\"Data\")","DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","= None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId =","Metric: str :param Region: 地域。 :type Region: str \"\"\" self.DiagType","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status","self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize","手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int",":param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括：","\",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId:","self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for","= None self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\")","Info: 线程的操作语句。 :type Info: str \"\"\" self.ID = None self.User","。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime:",":param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId:","class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称","params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys())","% \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param","\"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list","= [] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item)","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime","params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\")","fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def","行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float","int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param","params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\")","AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName = None self.Region","Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport:","None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\")","Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list",":type IssueType: str :param Events: 异常事件。 :type Events: list of","执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求","for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set","Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info:","class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId =","Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count:","CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此","SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport:","硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id = None","vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0:","None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product:","if params.get(\"SchemaList\") is not None: self.SchemaList = [] for item","Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays:","= params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in vars(self).items():","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime","None self.Outline = None self.Problem = None self.Severity = None","self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag","None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj =","int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机）","= params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product =",":param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo:","None self.Rows = None self.RequestId = None def _deserialize(self, params):",":type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str","= None self.TimeSeries = None self.SeriesData = None self.RequestId =","__init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int","= params.get(\"Info\") memeber_set = set(params.keys()) for name, value in vars(self).items():","params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\")","None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\"Urls\")","params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel","class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关,","\"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\"",":type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount:","are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self):","__init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId:","self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value","= params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set =","class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求","MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type","_deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product =","= None self.Metric = None self.EndTime = None self.RequestId =",":type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\"","= None self.Product = None def _deserialize(self, params): self.StartTime =","None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None","None self.HealthScore = None self.Product = None self.EventCount = None","params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\")","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体","MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3",":param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type","str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。","\"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType:","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items =","params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events = [] for","params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\")","ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel:","self.Series = [] for item in params.get(\"Series\"): obj = MonitorMetric()","class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。","无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of","SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId:","fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def","= None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel):","\",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks:","联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type","useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\"","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def","= MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys())","str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C","。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int","params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\"))","None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries","item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount =","None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\")","SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID",":type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"-","None self.Source = None self.Progress = None self.CreateTime = None","params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self):","= params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name,","TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Contacts","= None self.RangeDays = None self.Product = None def _deserialize(self,","= params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus =","= None self.DB = None self.State = None self.Command =","InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip:","self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport","None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\")","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。",":param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type","None self.SortBy = None self.StartDate = None self.EndDate = None","float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。","of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None","__init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param Unit:","None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\")","None self.SqlText = None self.Schema = None def _deserialize(self, params):","self.Names = None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel):","self.ProcessList = [] for item in params.get(\"ProcessList\"): obj = MySqlProcess()",":param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type","are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self):","1, 是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。","None self.Unit = None self.Values = None def _deserialize(self, params):","ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回",":type ContactGroup: list of int \"\"\" self.SendMail = None self.Region","self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set","StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str","UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime:","None self.Product = None self.BindInstanceIds = None def _deserialize(self, params):","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads =","\"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int","= params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel):",":param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type","params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\")","Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int","str \"\"\" self.Name = None self.ContactInfo = None self.Product =","统计开始时间 :type Timestamp: int \"\"\" self.Count = None self.Timestamp =","def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of","ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime:","int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒","= None self.AsyncRequestIds = None self.Offset = None self.Limit =","fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def","\"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str",":param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type","params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product:","self.InstanceId = None self.RangeDays = None self.Product = None def","= params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName =","are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self):","useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\"","实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\")","self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate",":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体","= None self.ContactInfo = None self.Product = None def _deserialize(self,","= params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize =",":param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric:","MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items():","= params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","None self.StartTime = None self.EndTime = None self.CreateTime = None","def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress","None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId =","__init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type","分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str","None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\")","需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel):","self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag",":param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type","\"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str",":type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\" -","params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\")","self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup","StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate:","HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type","def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param","DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type","StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param","DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId","中风险；3 高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId =","self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set","MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate:","list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param","int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。","Mail: str \"\"\" self.Id = None self.Name = None self.Mail","in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\")","= params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set =","r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。","MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel):","self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for",":type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，",":param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type","None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\"Id\")","self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo =","params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\")","not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for","TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","SqlText: str :param Schema: 库名。 :type Schema: str :param Tables:","Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info:","useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys())","实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str","params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime:",":type Severity: int :param StartTime: 开始时间 :type StartTime: str :param","ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays:",":param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type","self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set","HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type","self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not","InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type","self.InstanceId = None self.Metric = None self.Region = None def",":type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param","MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\"","= params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in vars(self).items():","\"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None",":type CreateTime: str :param Status: 任务状态。 :type Status: str :param","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks","EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class","self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport","IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel","待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses:","RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin:",":param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem","接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str","Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio:","params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self):","\"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id:","UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag:","带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str",":type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None",":type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo:","None self.Severity = None self.ScoreLost = None self.Metric = None","params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events","= None self.HealthScore = None self.Product = None self.EventCount =",":param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括：","params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\")","params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\")",":param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type","保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int","数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float",":param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is","self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType","开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId:",":param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\"","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\")","params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for item in","= params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\")","class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名","are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self):","导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回","None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None","诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str","class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。","not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for","= params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime =",":type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None","class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求",":param Regions: 根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported","DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type","Tencent company. All Rights Reserved. # # Licensed under the","Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\"","self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\"","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\"","ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in","分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list","None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\")","obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name,","Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName","str \"\"\" self.InstanceId = None self.Stage = None self.Threads =","# You may obtain a copy of the License at","\"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\"","for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5:","params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\")","are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self):",":param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema","self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5","__init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric","str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not","= TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\")","实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int","__init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime:","int \"\"\" self.UserHost = None self.Ratio = None self.Count =","in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\")",":type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param","self.Advices = None self.Comments = None self.SqlText = None self.Schema","are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self):","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\"","DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type","r\"\"\" :param EventId: 事件 ID 。 :type EventId: int :param","self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost",":param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回","Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId","扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType =","self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength","None self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\") is","self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls","self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\"","数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\"","SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\"","= None self.Vip = None self.Vport = None self.Product =","\",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost:",":param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type","class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒","云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId =","self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not","params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","\"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\"","str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位%",":type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str","HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type","ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","self.Outline = None self.Severity = None self.ScoreLost = None self.Metric","= params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation =","self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId","\"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int","执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset:","params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for","\"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName:",":param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\")","HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in vars(self).items():","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。","self.InstanceId = None self.SqlText = None self.Schema = None def",":param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime:",":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11","\"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","% \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag:","01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。",":param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId:","需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time:","= None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength =","\",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName:","= params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost =","str \"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName =","\"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None","self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime",":type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param","健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","r\"\"\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间","= None self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\")",":param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp:","= None def _deserialize(self, params): if params.get(\"ProfileList\") is not None:","2.0 (the \"License\"); # you may not use this file","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息","self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class","DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type","params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\")","None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params):","任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Rows =","RequestId: str \"\"\" self.Events = None self.RequestId = None def","= [] for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item)",":param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type","RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin:","= None self.SortBy = None self.StartDate = None self.EndDate =","self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for",":param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None","r\"\"\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param","self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value","Id: 组id。 :type Id: int :param Name: 组名称。 :type Name:","fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def","self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent","Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series =","r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param","最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float","self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class","定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" -","self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName",":param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type","根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type","= params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set =","self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def","params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","\"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type","SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None self.StartTime =","DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","= params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name,","\"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list","风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list","中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative","int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" -","StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。","= HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in","_deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None:","+ {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId:","params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\")","self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\"","self.ReportUrl = None self.ExpireTime = None self.RequestId = None def","params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for","useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\"","指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list","self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\")","= params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\")","def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param","self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set","None self.Vip = None self.Vport = None self.Source = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体","组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type","obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData()",":type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param","r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson =",":type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param","\",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events:",":type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\"","self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime","= params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime =","MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list","= params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param","self.DiagItem = None self.InstanceId = None self.Metric = None self.Region","obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel):","class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。","params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set =","params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\")","= params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product =","= params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses =","int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。","self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command","self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not","See the License for the specific language governing permissions and","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time =","\"\"\" self.TotalCount = None self.Groups = None self.RequestId = None","self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity","to in writing, software # distributed under the License is","params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data = None","HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\"","RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime:","= None self.TableSchema = None self.Engine = None self.DataLength =","class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。","None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params):","params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","str \"\"\" self.InstanceId = None self.EventId = None self.Product =","HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"",":type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\")","compliance with the License. # You may obtain a copy","None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\")","_deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress =",":type InstanceIds: list of str \"\"\" self.InstanceConfs = None self.Regions","list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type","= None self.Product = None def _deserialize(self, params): self.InstanceId =","class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。",":type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param","params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts = [] for","StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag:",":type DiagType: str :param EventId: 事件 ID 。 :type EventId:","= params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product =","[] for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj)","self.Host = None self.DB = None self.State = None self.Command","实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int","Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param","库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float","指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str","\"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None","str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。","useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\"","。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int","if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if","params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\")","self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId","self.SortBy = None self.StartDate = None self.EndDate = None self.Product","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\"","= None self.Region = None self.HealthStatus = None self.ContactPerson =","int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param","= None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel):","Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg:","None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\")","int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit:","str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime:","self.Stage = None self.Threads = None self.SqlExecId = None self.Product",":param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。","self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported","str \"\"\" self.TotalCount = None self.Items = None self.RequestId =",":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\"","SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None self.LockTimeMax =","obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set =","self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit","\",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId:","= None self.SchemaList = None self.Product = None def _deserialize(self,","Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count:","= params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax =","None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params):","r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。","params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","= params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity =","Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity:","are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self):","SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\"",":param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。","CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\"","Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int","str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。","None self.SortBy = None self.OrderBy = None self.Limit = None","item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId =","params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\")","self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not","def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回","r\"\"\" :param Id: 组id。 :type Id: int :param Name: 组名称。",":type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param","DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio:","= None self.EventId = None self.Severity = None self.Outline =","self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation","None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj =","None self.HealthLevels = None self.TaskStatuses = None self.Offset = None","DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items:","not None: self.Series = [] for item in params.get(\"Series\"): obj","\",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime:","\"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。","Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId:","params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows = [] for","None def _deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks","r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28","None self.EndTime = None self.Outline = None self.Severity = None","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels","Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset:","None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None","self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode","params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\")","params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class","is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys())","= params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin =","TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求","= params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames =","params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\")","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\"","Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength:","not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId","in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\")","fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def","% \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None self.GroupName = None self.Status = None self.UniqSubnetId =","def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not","int non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime","DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。","= InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds",":type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.EventId =","self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus =","None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\")","导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus:","None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\")","= None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self,","邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" -",":type RequestId: str \"\"\" self.DiagItem = None self.DiagType = None","InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product:","= params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def","def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of","= params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo()","def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str","None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params):","IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int",":type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount:",":type RequestId: str \"\"\" self.ProcessList = None self.RequestId = None","self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg","= params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体","联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail =","= SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体","Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str","self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels","\"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount:","useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\"","SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","% \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param","= None self.Cpu = None self.Memory = None self.Volume =","self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree","self.RequestId = None def _deserialize(self, params): if params.get(\"Events\") is not","None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\")","= None def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\")","MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId =","obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def","12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","KIND, either express or implied. # See the License for","def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param","self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails",":type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param","str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param","% \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param","DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type","self.IssueType = None self.Events = None self.TotalCount = None def","None self.EndTime = None self.InstanceIds = None self.Sources = None","Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit:","注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength","MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","__init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups:","(the \"License\"); # you may not use this file except","if params.get(\"Events\") is not None: self.Events = [] for item",":type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type","返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\"","TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData =","\"\"\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params):","\"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None","Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。","str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。",":type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\"","# # Unless required by applicable law or agreed to","useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\"","异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type","= None self.InstanceIds = None self.Sources = None self.HealthLevels =","= params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None self.Schema = None def _deserialize(self, params): self.InstanceId =","params): if params.get(\"Series\") is not None: self.Series = [] for","self.Region = None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime","= None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin =","Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C","TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration =","of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product:",":type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param","\",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series:","= [] for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item)","= None self.Mail = None def _deserialize(self, params): self.Id =","self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value","int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param",":type Timestamp: list of int \"\"\" self.Series = None self.Timestamp","self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\"","实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。",":type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type","Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。","监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series = None","\"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data:","not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not","= [] for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item)","str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。","来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float","ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str","params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self):","RequestId。 :type RequestId: str \"\"\" self.Data = None self.RequestId =","\"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str","= None self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\")","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type","= params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel):","= params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels =","= None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined =","_deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime =",":param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" -","self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if","params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId:","服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for","= None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes =",":type RequestId: str \"\"\" self.Id = None self.RequestId = None",":type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric:","= None self.Product = None def _deserialize(self, params): self.WeekConfiguration =","LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\"","is not None: self.Items = [] for item in params.get(\"Items\"):","= params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId =","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period = None self.TimeSeries","params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\")","= None self.SqlText = None self.Schema = None def _deserialize(self,","= None self.AsyncRequestIds = None self.Product = None def _deserialize(self,","= None self.EngineVersion = None def _deserialize(self, params): self.InstanceId =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\"","fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def","self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\"","邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product:","self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId","self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def",":type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None","\"\"\" self.Urls = None self.RequestId = None def _deserialize(self, params):",":param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param","self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion","注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求","self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in","params.get(\"ProcessList\") is not None: self.ProcessList = [] for item in","任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int",":type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy:","InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件","RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" -","ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param","= None self.ProfileName = None self.ProfileInfo = None def _deserialize(self,","self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds",":param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type",":type Source: str :param GroupId: 分组ID。 :type GroupId: str :param","Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData:","fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def",":type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param","任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str","params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set","params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self):","MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list",":param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel):","__init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries","= params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。","params.get(\"Tasks\") is not None: self.Tasks = [] for item in","if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for item","_deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId =","def _deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel):","self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime",":param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None","self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson","self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus","= None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId =","obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel):","params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value","are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self):","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel):","useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\"","Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source:","注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId","are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self):","params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product:","EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType =","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items","self.EndTime = None self.StartTime = None self.EventId = None self.Severity","\"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str","Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp:",":param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type","\"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","= params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product =","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime","def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param","non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product:","= params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId =","= None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\")","= params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set =","SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库",":type Vport: int :param Product: 实例产品。 :type Product: str :param","= None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema =","params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime:","EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type","self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in","\"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration:","\"\"\" self.ProcessList = None self.RequestId = None def _deserialize(self, params):","Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan:","int \"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds =","\",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem:","= params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit =","分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int","self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel):","params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\")","SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None self.Engine",":param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\"","self.ProfileList = [] for item in params.get(\"ProfileList\"): obj = UserProfile()","non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。","class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\"","= params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","= params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime =","DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type","该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None self.Ratio =","None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None","- 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel):","str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName =","self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if","params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not","of float \"\"\" self.Metric = None self.Unit = None self.Values","ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId:","str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param","保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type","StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime:","for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId","\"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType:","of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\"","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\"","ContactGroup: list of int \"\"\" self.SendMail = None self.Region =","Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体","返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。","= None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg =","Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time:","RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId =","ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type","self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set","Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel):","params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList = [] for","_deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity =","None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\")","CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status:","= params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport =",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth","class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传","self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for","self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount","str \"\"\" self.Id = None self.Name = None self.Mail =","in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys())","DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","\"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices:","r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of",":type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param","if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for item","None self.StartTime = None self.EndTime = None self.SendMailFlag = None","None self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\") is","% \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type","TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求","self.Info = None self.Limit = None self.Product = None def","\",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema:",":type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\"",":type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param","str \"\"\" self.Data = None self.RequestId = None def _deserialize(self,","DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str","= None self.InstanceIds = None self.Regions = None def _deserialize(self,","def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param","params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\")","self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore","params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\")","= None self.Schema = None self.Tables = None self.SqlPlan =","EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName = None self.Vip",":param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值","of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData`",":param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF：","DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type","list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\")","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks = None","StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。","self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in","\"\"\" self.InstanceId = None self.Time = None self.Product = None","str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。","int \"\"\" self.Id = None self.Name = None self.MemberCount =","self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","for the specific language governing permissions and # limitations under",":type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set","TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength:","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0","self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\")","str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy:","self.Info = None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User","_deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail =","Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total:","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.ID","\"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period:","\"\"\" self.Id = None self.Name = None self.MemberCount = None","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None","OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset:","self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels","str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。",":param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Rows","list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","None self.EndTime = None self.SortBy = None self.OrderBy = None","r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求","params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items = [] for","self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit",":type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str","str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product:","self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus","EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip:","def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not","_deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程","HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def",":type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\"","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts =","obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name,","self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\"","useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\"","= None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\")","= None self.Product = None self.EngineVersion = None def _deserialize(self,","params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items","配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType =","params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\")","低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId","def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin","= None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region =","- 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。",":type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\"","= params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId =",":param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId:","RequestId: str \"\"\" self.Tasks = None self.TotalCount = None self.RequestId","__init__(self): r\"\"\" :param Id: 组id。 :type Id: int :param Name:","int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str","for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId","总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float","def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str","+ {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\"","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\")","MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration","异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\"",":type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param",":param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type","of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId:","% \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回","int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。","% \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus =","obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId =","ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\"",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem","self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\") is not","params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\")","are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self):","law or agreed to in writing, software # distributed under","= params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name,",":param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。","= params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param","EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel):","= None self.Product = None self.Md5 = None def _deserialize(self,","= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime =","Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost:","self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId","RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp =","= None self.Sources = None self.HealthLevels = None self.TaskStatuses =","ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count:","_deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel):","obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set =",":type MemberCount: int \"\"\" self.Id = None self.Name = None","int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate:","= params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel):","碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float","str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp","= [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item)","list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData:",":param Region: 地域。 :type Region: str \"\"\" self.DiagType = None","PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema = None self.Engine","params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is","\"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int","r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param",":type SqlText: str :param Schema: 数据库名 :type Schema: str :param","= params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\")","SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds:","self.DiagType = None self.EndTime = None self.StartTime = None self.EventId","self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds","新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel):","结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem","def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of","item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp =",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas","of str \"\"\" self.InstanceConfs = None self.Regions = None self.Product","= None self.Command = None self.Time = None self.Info =","are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self):","Region: str \"\"\" self.DiagType = None self.EndTime = None self.StartTime","None self.IndexLength = None self.DataFree = None self.TotalLength = None","self.TotalCount = None self.Contacts = None self.RequestId = None def","_deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None:","= params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in vars(self).items():",":param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type","Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources:","is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\")","self.EventId = None self.Explanation = None self.Outline = None self.Problem","or implied. # See the License for the specific language","Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip:","TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。","self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set","str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。","\"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str","= None self.DiagType = None self.StartTime = None self.EndTime =","self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId",":type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param","= params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu =","self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self):","if params.get(\"Contacts\") is not None: self.Contacts = [] for item","Product: str \"\"\" self.InstanceId = None self.Stage = None self.Threads","\",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data:","- 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。","params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class","def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param","self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self):","Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type","= None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime =","self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan","= params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name,","float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒","_deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name,","IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity:",":type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str",":param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays:","params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\")","params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail:","of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","\"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls:","int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\"","class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。","EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport:","self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in","= None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\")","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\"","= params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in vars(self).items():","None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None","= params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product =","查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","\"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int","\"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\"","__init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo","def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param","params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","_deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset =","\"\"\" self.Id = None self.RequestId = None def _deserialize(self, params):","self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg","params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self):","None self.Limit = None self.SortBy = None self.Product = None","str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\"","useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\"","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus =",":param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId:","DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的",":type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime:",":type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of","self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def","self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId","self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product","= params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions =","MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str",":type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus = None","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\")","str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。","self.Product = None self.Offset = None self.Limit = None self.ProfileName","class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。","EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline:","params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value","= None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay =","\"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\")","Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","= None self.ContactPerson = None self.ContactGroup = None def _deserialize(self,","Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id",":type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param","self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\")","None self.ProfileName = None self.ProfileType = None self.Product = None","r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10","int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\"","self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount","not None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj",":param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回","self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId","% \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy:","\"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas:","InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param","def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param","[] for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj)","self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in","str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON：","params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\")","self.Count = None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio","item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId =",":type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type",":type Vport: int :param Source: 接入来源。 :type Source: str :param","self.Schema = None self.Tables = None self.SqlPlan = None self.Cost","self.Product = None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo","self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class","str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。","def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param","params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\")","= params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 =","= None self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\")","None self.DataFree = None self.TotalLength = None self.FragRatio = None","ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type","= params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel):","= None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio =","self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\"","EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime:","EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product:","def _deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks =",":type RequestId: str \"\"\" self.TotalCount = None self.Rows = None","params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\")","_deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None:","None self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\") is",":type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param","the License for the specific language governing permissions and #","DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity:","Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。","item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp =","self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds","self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for","self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self):",":type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\"","= None self.Time = None self.Info = None self.Limit =","碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int","Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList:","str \"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore =","__init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str","= [] for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item)","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not","int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def",":type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type","= params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent =",":param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回","SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type","params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。","# distributed under the License is distributed on an \"AS","= MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in","int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。","self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj = TimeSlice()","float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。","_deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus =","None self.ContactPerson = None self.ContactGroup = None self.Product = None","params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\")","None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\")","__init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items:","线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str","= MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\"","KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type",":param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" +","None self.AsyncRequestId = None self.Product = None def _deserialize(self, params):","ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。",":param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type","params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self):","self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData()","def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds","% \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param","of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel):","self.InstanceName = None self.Vip = None self.Vport = None self.Product",":type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。","str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。","str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param","ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param","params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\"))","资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool","异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。","Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source:","联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。","\"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list",":type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId = None","-*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29","self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime","self.TimeSeries = None self.SeriesData = None self.RequestId = None def","self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\")","= params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg =","int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of","None self.IssueType = None self.TopSeverity = None self.Count = None","= params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize =",":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type","CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None","under the License is distributed on an \"AS IS\" BASIS,","None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params):",":type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param","self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if","_deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime =","params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList","None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None","list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self):","self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in","int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。","self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes",":type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of","实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int","\"\"\" self.TotalCount = None self.Rows = None self.RequestId = None","self.SqlPlan = None self.Cost = None self.RequestId = None def","None self.User = None self.Host = None self.DB = None","RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp =","= HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\"","params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self):","= params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in vars(self).items():","if params.get(\"Items\") is not None: self.Items = [] for item","None self.Problem = None self.Severity = None self.StartTime = None","str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。","are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self):","self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId","list of str \"\"\" self.InstanceConfs = None self.Regions = None","最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float","item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp =","- 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param","DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type","fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def","= None self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\")","Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId:","StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime:","亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。","int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括：","list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","_deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel):","= params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set =","\"\"\" self.ID = None self.User = None self.Host = None","__init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData","self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def","params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\")","self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime","params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str","= params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。","全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list","PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema =","float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。","SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost:","def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class","TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回","State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time:","self.StartTime = None self.EventId = None self.Severity = None self.Outline","the License. # You may obtain a copy of the","健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","= None self.StartTime = None self.EventId = None self.Severity =","InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime:","of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int","= None self.Engine = None self.DataLength = None self.IndexLength =",":type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions:","% \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration:","self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName","self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if","int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。","= None self.Regions = None self.Product = None self.InstanceIds =","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList = None self.TotalCount","实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type","params): if params.get(\"ProcessList\") is not None: self.ProcessList = [] for","params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set =","% \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param","null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId =",":param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type",":type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param","None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj =","params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体","10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type","地域。 :type Region: str \"\"\" self.DiagType = None self.EndTime =","null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class","ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType","= None self.TotalCount = None self.RequestId = None def _deserialize(self,","所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int","str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID","= params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items():","\"\"\" self.Count = None self.Timestamp = None def _deserialize(self, params):","params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys())","self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if","\",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId:","AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" -","- 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId","self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl","self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value",":type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of","Items: list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost =","\",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore:","Product: str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId","_deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime =","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices = None","def _deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host","r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。","self.Rows = [] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem()","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\"","% \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param",":type DB: str :param State: 线程的操作状态。 :type State: str :param",":param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type","self.Schema = None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel):","= params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set =","useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\"","= None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source =","self.Values = None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit","self.Region = None self.HealthScore = None self.Product = None self.EventCount",":type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region:","ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate:","None self.TotalLength = None self.FragRatio = None self.TableRows = None","Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list","useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\"",":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None","= params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name,",":type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str",":type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体","TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio:","= ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value","int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数","_deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product =","平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float","self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId:","useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\"","limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel","SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText:","Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric:",":param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28","int \"\"\" self.EventId = None self.DiagType = None self.StartTime =","高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId = None","Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","__init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str :param","注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2","_deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel):","if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for item","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\"","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if","r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\"","\"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。","A29 Limited, a Tencent company. All Rights Reserved. # #","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration","= None self.Source = None self.Progress = None self.CreateTime =","self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId","= params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set =","not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for","str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。","str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。","str :param Events: 异常事件。 :type Events: list of EventInfo :param","SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str","= None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel):","符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表","class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None","OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay = None def","= params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set =","params): if params.get(\"ProfileList\") is not None: self.ProfileList = [] for","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\"","str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。","第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type","self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set","= params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items = []","float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。","for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset:","in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\")","RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime =","Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None self.StartTime","Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined","self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据","= None self.TotalLength = None self.FragRatio = None self.TableRows =","self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for","CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","= params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set =","RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体",":param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type","= None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax =","= None self.Volume = None self.EngineVersion = None self.Vip =","params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys())","params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class","self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\"","InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs =","ScoreLost: int \"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity","\",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem:",":type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values:","= params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name,","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel):","\"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`","def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for",":type DangerLevels: list of int \"\"\" self.SecAuditGroupId = None self.StartTime","specific language governing permissions and # limitations under the License.","ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str","= None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\")","str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。","注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type","= params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set =","RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体","InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10","useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\"","self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup","self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items","None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel):","__init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str :param User:","= None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent =","fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def","Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy:","self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg","= None self.HealthLevels = None self.TaskStatuses = None self.Offset =","_deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def","Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set","None self.Explanation = None self.Outline = None self.Problem = None","线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str","= None self.BindInstanceId = None self.Product = None def _deserialize(self,","def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus",":type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId = None","None self.Timestamp = None self.RequestId = None def _deserialize(self, params):","params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\")","MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id = None self.Name","r\"\"\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。","\",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks:","扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int","\"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID 。","of str :param Regions: 根据地域条件查询。 :type Regions: list of str",":type Product: str \"\"\" self.InstanceId = None self.EventId = None","obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel):","None self.InstanceIds = None self.Regions = None def _deserialize(self, params):","诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str","str :param Count: 告警数目。 :type Count: int \"\"\" self.EventId =",":type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param","异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None self.Events =","DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command:","[] for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj)",":param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type","def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str","null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type","ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list","EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\"","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel):","params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set =",":type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\"","are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self):","self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost","= params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels =","params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId =","SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData","ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。","list of str \"\"\" self.IsSupported = None self.Product = None","DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength:","params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys())",":type Id: int :param Name: 组名称。 :type Name: str :param","GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\"","_deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel):","int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板","TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type","筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。","IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree:","事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:","item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId =","r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求","内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int","开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str",":param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime:","self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls","DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime:","- 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost:","= None self.RequestId = None def _deserialize(self, params): self.Period =",":type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay = None","str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product:","磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int","self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize","注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求","= None self.RequestId = None def _deserialize(self, params): if params.get(\"Events\")",":param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp:","\"\"\" self.TableName = None self.TableSchema = None self.Engine = None","is not None: self.Tasks = [] for item in params.get(\"Tasks\"):","params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name, value","\"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo:",":type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\"","DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type","= params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag =","= params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree =",":type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param","= params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset =",":type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel):","str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param","self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value",":type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of","str \"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId =","InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。","= params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema =","self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\"",":param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持","params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value","self.Tasks = [] for item in params.get(\"Tasks\"): obj = HealthReportTask()","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel):","None self.Status = None self.UniqSubnetId = None self.DeployMode = None","None self.Stage = None self.Threads = None self.SqlExecId = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\"","None self.EndTime = None self.Product = None self.Md5 = None","def _deserialize(self, params): if params.get(\"Series\") is not None: self.Series =","DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels:","= None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 =","\"\"\" self.DiagType = None self.EndTime = None self.StartTime = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。","RequestId: str \"\"\" self.Growth = None self.Remain = None self.Total","\"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID 。 :type",":param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag:","of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","= None self.SqlText = None self.Schema = None self.QueryTimeRatio =","in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\")","params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\")","无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \"\"\"","Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求","self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for","self.TopSeverity = None self.Count = None self.ScoreLost = None def","\"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str","int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of","None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId:","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None",":type ID: str :param User: 线程的操作账号名。 :type User: str :param","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\"","not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName","name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds","self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region","self.Offset = None self.Limit = None self.ProfileName = None def","r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。","None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel):","= params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel):","self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\"","\",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList:","= None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf =",":param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type","params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys())","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。",":param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data = None self.RequestId",":class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。","PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\"","StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param","否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\",","int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param","self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for","\"\"\" self.Id = None self.Name = None self.Mail = None",":param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type","任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId = None def","\",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\")","\"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:","\",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema:","self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for","= None self.Name = None self.MemberCount = None def _deserialize(self,","= None self.Md5 = None def _deserialize(self, params): self.InstanceId =","磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int","params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","= params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count =","list of str \"\"\" self.ProfileInfo = None self.ProfileLevel = None","class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。","None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")",":param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type",":param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回",":type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param","None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\")",":param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type","self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId","self.StartTime = None self.EndTime = None self.Product = None def","\"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount:","DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type","params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self):","RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio:","= params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符，","str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。","None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\")","- 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type","def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries =","= None self.TopSeverity = None self.Count = None self.ScoreLost =","str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。","% \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None self.InstanceName = None self.Vip = None self.Vport =","DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType:","Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel):","CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime:","InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId:","is not None: self.Contacts = [] for item in params.get(\"Contacts\"):","None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体","None self.DiagType = None self.EventId = None self.Explanation = None","\"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:","结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str","指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type","# limitations under the License. import warnings from tencentcloud.common.abstract_model import","EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type","StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo:","列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","None self.EndTime = None self.Product = None self.DangerLevels = None","self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric","[] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj)","obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def","software # distributed under the License is distributed on an","import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName =","self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore =","self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\"","线程的操作语句。 :type Info: str \"\"\" self.ID = None self.User =","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount =",":param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is","of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type","= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId =",":type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。","self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson","SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","None self.Groups = None self.RequestId = None def _deserialize(self, params):","params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items = [] for","not None: self.ProcessList = [] for item in params.get(\"ProcessList\"): obj","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None:","self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set","\",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count:","12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime:","Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param DangerLevels:","= params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time =","= params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy =","RequestId: str \"\"\" self.TotalCount = None self.Tasks = None self.RequestId","MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type","Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param","邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type",":param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type","r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒",":param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type","self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\"","DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type","if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s","= None self.StartDate = None self.EndDate = None self.Product =","= None self.Count = None def _deserialize(self, params): self.EventId =","params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\")","from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self):","= params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion =",":type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param","self.ProfileName = None self.BindInstanceId = None self.Product = None def",":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None","None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\")","= None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime =",":param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type","_deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total =","self.Command = None self.Time = None self.Info = None def","class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\"","class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。",":param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type","self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value",":type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type","__init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int :param Name:","None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported =","Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem","list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount:","are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self):","\"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID","= params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode =","None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None","fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def","HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\"",":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。","\"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1,",":param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId:","# Licensed under the Apache License, Version 2.0 (the \"License\");","AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name:","useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\"",":type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param","最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int","危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" -","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\"","= params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","self.TotalCount = None self.Tasks = None self.RequestId = None def","str \"\"\" self.InstanceConfs = None self.Regions = None self.Product =","self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds","IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type",":type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None:","EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库","class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。","_deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel =","self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag","DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime","None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\"Advices\")",":type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param","are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self):","- 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param","are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self):","int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param","等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str","are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self):","str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。","= None self.StartTime = None self.EndTime = None self.Outline =","Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names:",":param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime:","r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param","None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params):","str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。","总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type","\"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\")","= params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj =","self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set","self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax","= params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set =","str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection =",":param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type","None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None","self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments","Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName:","params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\")","\"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int","self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables","float \"\"\" self.Metric = None self.Unit = None self.Values =","TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求","self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus",":param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top","= params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio =","in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) >","HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\"",":param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources:","params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\")","params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\")","class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\")","Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info:",":type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None","None self.Info = None def _deserialize(self, params): self.ID = params.get(\"ID\")","class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。","None self.EventId = None self.Severity = None self.Outline = None","TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit:","__init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds:","= params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel):","def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param","params): if params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\"))","单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema =","None self.RequestId = None def _deserialize(self, params): if params.get(\"Events\") is","None self.DataLength = None self.IndexLength = None self.DataFree = None","Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。",":type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。",":type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName = None","params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","self.Vport = None self.Source = None self.GroupId = None self.GroupName","SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas","联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None","of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param","None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is","None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\")","self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel):","Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail:","class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。","= params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength =",":param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0","= None self.Offset = None self.Limit = None self.InstanceNames =","self.ProcessList = None self.RequestId = None def _deserialize(self, params): if","日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。","item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId =","self.TotalCount = None self.Rows = None self.RequestId = None def","= None self.Info = None self.Limit = None self.Product =","EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\"","SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\"))","= params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate =",":param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId:","RequestId: str \"\"\" self.TotalCount = None self.Rows = None self.RequestId","None self.Offset = None self.Limit = None self.Product = None","def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param","class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。","str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件:","params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys())","MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\"","None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None","self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema","% \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param","= None def _deserialize(self, params): if params.get(\"ProcessList\") is not None:","self.Metric = None self.Count = None def _deserialize(self, params): self.EventId","EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self):","self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy","EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined","Metric: str :param Unit: 指标单位。 :type Unit: str :param Values:","\"\"\" self.Events = None self.RequestId = None def _deserialize(self, params):","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime",":type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Time",":type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp:","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime =",":type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported:","class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","_deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList = []","None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params):","= None self.DeployMode = None self.InitFlag = None self.TaskStatus =","= params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None:","params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self):",":type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param",":param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type",":param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type","TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId:","\"\"\" self.InstanceId = None self.InstanceName = None self.Region = None","\"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list","None def _deserialize(self, params): if params.get(\"Series\") is not None: self.Series","_deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime =","self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory","= None self.Rows = None self.RequestId = None def _deserialize(self,","= None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name =","= SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体","self.Timestamp = None self.RequestId = None def _deserialize(self, params): if","= params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric =","self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items =","str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。","= params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name,","执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","None self.EventId = None self.Product = None def _deserialize(self, params):",":type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\"","InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds =","ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list","BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"",":type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param","self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for",":type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str","def __init__(self): r\"\"\" :param EventId: 事件 ID 。 :type EventId:","self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId","结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\"","MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\"","class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。",":param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product:","异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type","None self.ID = None self.User = None self.Host = None","int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str","% \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param","= params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset =",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data","SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None def","list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of","__init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength:","self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if","\"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type","of str \"\"\" self.IsSupported = None self.Product = None self.Offset","str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求","self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf","StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。","params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\")","DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list","useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\"","None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\")","% \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒","params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\"))","str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。","ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric:","日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int","= params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit =","str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity:","params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\")","= None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel):",":type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\"",":param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId:","[] for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj)","params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","str \"\"\" self.TotalCount = None self.DbScanStatus = None self.Items =","class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。","params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\")",":param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp:","Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit:","CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress:","params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\")",":type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of","None self.StartTime = None self.EndTime = None self.Outline = None","\"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product:","DB: str :param State: 线程的操作状态。 :type State: str :param Command:","= None self.Regions = None def _deserialize(self, params): self.IsSupported =","= params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio =",":param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode","= None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId =","for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls = None","class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。","Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost","SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit:","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.ID =","InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str","str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime =","str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param","def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime","= None self.RequestId = None def _deserialize(self, params): self.Id =",":param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type","StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric:",":type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param","= params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime =","= [] for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item)","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId =","= params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name,","self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio","params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for",":type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 -","= None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product =","诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str","None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name,","int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param","params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\")","str \"\"\" self.Urls = None self.RequestId = None def _deserialize(self,","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type","self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\"",":param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema = None","Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit:","self.IsSupported = None self.Product = None self.Offset = None self.Limit","LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio:","self.EndTime = None self.Product = None self.Md5 = None def",":type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None","str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。","SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays =","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None self.EndTime =","are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self):","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel):","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks =","obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def","实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str","self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses","None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params):","\"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list",":type Product: str \"\"\" self.InstanceId = None self.RangeDays = None","params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items = [] for","\"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp","int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数","self.RequestId = None def _deserialize(self, params): if params.get(\"Data\") is not","params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID:","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is","RequestId。 :type RequestId: str \"\"\" self.Threads = None self.SqlExecId =","self.Events = None self.RequestId = None def _deserialize(self, params): if","= None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType =","_deserialize(self, params): if params.get(\"Events\") is not None: self.Events = []","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList = None","Time: str :param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID","\"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","= None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp =","obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name,","= params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set =","Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求","\",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection:","\"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list","IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength:","= params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem =","= params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables =","self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels","__init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId =","str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。","self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem","未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。","= None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio =","list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list","in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\")","EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status:","= None self.Limit = None self.Product = None def _deserialize(self,","Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId:","TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName","RequestId。 :type RequestId: str \"\"\" self.Id = None self.RequestId =","params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\")","SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type","License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体","= [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item)","int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param",":param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series",":type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param","self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\")","list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","_deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None:","。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str",":param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\"","null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType = None","int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId =","_deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList = []","str \"\"\" self.DiagType = None self.EndTime = None self.StartTime =","params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括：","not None: self.SchemaList = [] for item in params.get(\"SchemaList\"): obj","安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND：","None self.InstanceType = None self.Cpu = None self.Memory = None","已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int","self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\"","list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of","事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames:","fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel):","\"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。","str \"\"\" self.ProcessList = None self.RequestId = None def _deserialize(self,","str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。","Reserved. # # Licensed under the Apache License, Version 2.0","= params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio =","线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str","= None self.Timestamp = None def _deserialize(self, params): self.Count =","str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。","obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices =",":type RequestId: str \"\"\" self.Tasks = None self.TotalCount = None","None self.DiagItem = None self.InstanceId = None self.Metric = None","int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。","线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str","= params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。","int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。","Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库","self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def","Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB:","Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost:",":type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param","params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self):","params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys())","params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\")","self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\"",":param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs","是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region:",":param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type","int :param Rows: 慢日志 top sql 列表 :type Rows: list","are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self):","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel):","SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product:","Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product =","联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str","Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str","Info: str \"\"\" self.ID = None self.User = None self.Host","self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText",":type Product: str \"\"\" self.StartTime = None self.EndTime = None","- 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress:",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList","self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName",":param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list","= params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set =",":param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type","服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list","None self.Limit = None self.Product = None def _deserialize(self, params):","筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括：","\"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str","params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\")","class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。","\"\"\" self.Growth = None self.Remain = None self.Total = None","self.Mail = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name","= params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set =","self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList","= params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio =","str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param","__init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int","= params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus =","self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation","Vport: int :param Source: 接入来源。 :type Source: str :param GroupId:","def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not","is not None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"):","useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\"","线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str","or agreed to in writing, software # distributed under the","= MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in",":type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration =","排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type","coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited,","- 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\"","str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product =",":type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\"",":type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str",":type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param","self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for","- 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str :param","欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName =","ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" -","__init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema","= params.get(\"Region\") memeber_set = set(params.keys()) for name, value in vars(self).items():",":type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\"","= [] for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item)","\"\"\" self.StartTime = None self.EndTime = None self.InstanceIds = None","None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\")","None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None:","None self.TaskStatuses = None self.Offset = None self.Limit = None","true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","= None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin =","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Time =","if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel","are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self):","list of int \"\"\" self.SecAuditGroupId = None self.StartTime = None","def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not","int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。","useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\"","Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice","str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。","= None self.Limit = None self.SortBy = None self.StartDate =","安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","None self.RangeDays = None self.Product = None def _deserialize(self, params):","self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\")","= None self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\")","= None self.EndTime = None self.InstanceInfo = None self.HealthStatus =","params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\")","DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type","params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\")","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries =","= None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self,","InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int","= None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None:","if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime","None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\"Count\")","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\"","CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type",":type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param","MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int","self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion","= params.get(\"Values\") memeber_set = set(params.keys()) for name, value in vars(self).items():","% \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.StartTime = None self.EndTime = None self.Product = None self.Md5","of int \"\"\" self.SendMail = None self.Region = None self.HealthStatus","params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self):","如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告,","list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None","self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\"","截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。","概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int","Metric: str :param Count: 告警数目。 :type Count: int \"\"\" self.EventId","params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体","= None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio =","MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\"","class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type","list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:",":type TotalCount: int \"\"\" self.IssueType = None self.Events = None","str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求","in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\")","None self.Product = None def _deserialize(self, params): self.Name = params.get(\"Name\")","None self.InstanceName = None self.Region = None self.HealthScore = None","Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList:","Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"",":param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo:","= params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","\"\"\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\"Schema\")",":type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\"","Schema: str \"\"\" self.InstanceId = None self.SqlText = None self.Schema","Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。","obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel):","params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\"))","self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId","注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks = None self.TotalCount","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset:","[] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj)","= params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set =","MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for","开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str","= params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema =","EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline:","r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。","DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type",":type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp = None",":type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param","Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId:","None self.SqlExecId = None self.Product = None def _deserialize(self, params):","\",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId:","useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\"","= params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays =","params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","_deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount =","\"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。","self.Id = None self.Name = None self.Mail = None def","are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self):","实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress:","self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product","= None self.Offset = None self.Limit = None self.Product =",":type Mail: str \"\"\" self.Id = None self.Name = None","params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId:","self.Total = None self.AvailableDays = None self.RequestId = None def","str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。","useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\"","UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param",":type Limit: int \"\"\" self.SecAuditGroupId = None self.Product = None","联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo:","self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks",":param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def","- 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type",":type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus:","self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg","None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\")","self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体","Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime:","self.Metric = None self.Unit = None self.Values = None def","= [] for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item)","InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type","self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline","SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product:","self.Name = None self.ContactInfo = None self.Product = None def","Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None self.Ratio","self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","self.Series = None self.Timestamp = None def _deserialize(self, params): if","params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","self.Limit = None self.SortBy = None self.Product = None def","TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int","language governing permissions and # limitations under the License. import","\"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore:","is not None: self.Series = [] for item in params.get(\"Series\"):","params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\")","= params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","= None self.ContactGroup = None def _deserialize(self, params): self.SendMail =",":type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param","class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。","- 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param","None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\")","params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\")","for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.RangeDays","params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\")","= params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None:","str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str","= TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData","= None self.Status = None self.UniqSubnetId = None self.DeployMode =","= None self.Severity = None self.Outline = None self.DiagItem =","params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is","= None def _deserialize(self, params): if params.get(\"Tasks\") is not None:","= UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\")","self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost","平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str","= params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\"","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo","class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。",":param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回","= None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId =","self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId","= params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def","最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds:","Schema: str \"\"\" self.Schema = None def _deserialize(self, params): self.Schema","\"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId:","self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\"",":param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type","SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product:","params.get(\"Groups\") is not None: self.Groups = [] for item in","\"\"\" self.UserHost = None self.Ratio = None self.Count = None","str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType:","def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param","DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\"","PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes",":type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param","InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory:","LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined:","ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel","\"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name:","params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys())",":type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel):","list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list","= params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId",":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data =","健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel:","params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks = [] for",":type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param",":type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset",":type Count: int \"\"\" self.UserHost = None self.Ratio = None","AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" -","params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name, value","of str \"\"\" self.Product = None self.Names = None def","时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText:","None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None","= params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit =","None self.Mail = None def _deserialize(self, params): self.Id = params.get(\"Id\")","[] for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj)","self.Threads = None self.SqlExecId = None self.RequestId = None def","self.Items = [] for item in params.get(\"Items\"): obj = InstanceInfo()","Unless required by applicable law or agreed to in writing,","\"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series:","self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId",":type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param","of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType","permissions and # limitations under the License. import warnings from","params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for","运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None","TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus:",":param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type","(c) 2017-2021 THL A29 Limited, a Tencent company. All Rights","params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class","self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId","= None self.Region = None self.HealthScore = None self.Product =","\"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str","RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg:","None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\")","Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求",":param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type","IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str","self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax","Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in vars(self).items():",":type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param","= None self.Source = None self.GroupId = None self.GroupName =","self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg","LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined:","InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。",":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel =","def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime",":param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None","self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self):","params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self):","\",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId:","self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime","AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","\"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id,","None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None",":param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type","self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\"Language\") if","def _deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList =","self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount","for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds:","\",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries:","class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。","str \"\"\" self.ProfileList = None self.TotalCount = None self.RequestId =","State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command:","服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None self.ContactInfo =","= params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory =","\",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs:","params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\")","_deserialize(self, params): if params.get(\"Series\") is not None: self.Series = []","is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys())","[] for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj)","磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。","params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value","\"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list","obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def","None self.Severity = None self.Outline = None self.DiagItem = None","ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。",":type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param","= None self.Time = None self.Product = None def _deserialize(self,","= None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId =","联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体","= None self.AsyncRequestId = None self.Product = None def _deserialize(self,","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls = None self.RequestId","self.Memory = None self.Volume = None self.EngineVersion = None self.Vip","_deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin =","for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel):","self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set","str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId =","not None: self.ProfileList = [] for item in params.get(\"ProfileList\"): obj","self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName","params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys())","params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType:","str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus:","MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param","None self.ContactGroup = None self.Product = None def _deserialize(self, params):","int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。",":type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails:","params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\")","= None def _deserialize(self, params): if params.get(\"Data\") is not None:","= None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None:","None: self.Groups = [] for item in params.get(\"Groups\"): obj =","class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。","% \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","\"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo`","= None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments =","list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\"","注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime:","ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User:","obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel):","str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\"","ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\"","You may obtain a copy of the License at #","Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries:","Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId","of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。","None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\")","% \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset","= None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId =","_deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId =","Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText:","= params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId","for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if","线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int","int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。","for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId",":type Timestamp: int \"\"\" self.Count = None self.Timestamp = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。","self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType","params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name, value","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","= params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None","int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C","fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def","self.Vport = None self.Product = None self.EngineVersion = None def","事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\"","RequestId: str \"\"\" self.TotalCount = None self.Groups = None self.RequestId","None self.AsyncRequestIds = None self.Offset = None self.Limit = None","r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。","ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in","self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB","总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int","useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\"",":class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None self.Engine =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体","接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type","None self.Items = None self.RequestId = None def _deserialize(self, params):","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。","None self.Status = None self.Progress = None self.LogStartTime = None","str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param","HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails:",":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" -","params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\")","- 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys())",":type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param","= None self.StartTime = None self.EndTime = None self.InstanceInfo =","RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId","None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj =","class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送:","= None self.Suggestions = None self.Metric = None self.EndTime =","__init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments:","class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。","self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels","StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param","TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine:","if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for item","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId","= None self.EndTime = None self.StartTime = None self.EventId =","obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore =","def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel","list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库","= params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name,",":param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type","- 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\"","params.get(\"Rows\") is not None: self.Rows = [] for item in","None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\"Threads\")",":type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param","params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\")","Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit:","self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit =","self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if","params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is","self.Command = None self.Time = None self.Info = None self.Limit","self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\")","self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId","self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\"","are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self):","State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command:",":type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param","\"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str","def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId","InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage:","str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。","Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None self.LockTimeMax","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\"",":type Regions: list of str \"\"\" self.IsSupported = None self.Product","self.InstanceId = None self.Time = None self.Product = None def","InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions:","\"\"\" self.Data = None self.RequestId = None def _deserialize(self, params):","str \"\"\" self.InstanceId = None self.InstanceName = None self.Region =","__init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType:","\",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id:","线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str","params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","distributed under the License is distributed on an \"AS IS\"","\"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId:","None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj =",":type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param","SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","None def _deserialize(self, params): if params.get(\"Events\") is not None: self.Events","Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName","是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type",":type User: str :param Host: 线程的操作主机地址。 :type Host: str :param","r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param","告警数目。 :type Count: int \"\"\" self.EventId = None self.DiagType =",":param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None",":type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param","= [] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item)","\"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" -","str :param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID =",":type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount:","self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio","class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。","of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of","params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData","r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param",":type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。",":type RequestId: str \"\"\" self.TotalCount = None self.Tasks = None","params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体","self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem","亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses:","params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class",":param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type","self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions","of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId:","Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline:","EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" -","Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None self.Product","params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\")","行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product =","LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax:","params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\")","ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param","用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName:","= None self.StartTime = None self.EndTime = None self.SortBy =","= params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric =","= None self.Problem = None self.Severity = None self.StartTime =","obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel =",":param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type","def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of",":param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type",":type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。",":type Items: list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost","self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def","= None self.Limit = None self.SortBy = None self.Product =","self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for","RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax:","self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime","self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value in",":param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type",":param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type",":param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type","__init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime:","self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\")","params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\")","SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int","云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product:","StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline:","def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param","self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId","if params.get(\"ProfileList\") is not None: self.ProfileList = [] for item","State: str :param Command: 线程的执行类型。 :type Command: str :param Time:","str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体","SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str","self.Vip = None self.Vport = None self.Source = None self.GroupId","self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events =","= params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name,",":param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type","ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup:","item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set =","= None self.Limit = None self.Offset = None self.SchemaList =","= params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity =","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage:","may obtain a copy of the License at # #","= params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def","str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位%","self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in",":type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param","None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None","self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product",":param EventId: 事件 ID 。 :type EventId: int :param DiagType:","params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","= None self.Items = None self.RequestId = None def _deserialize(self,","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows =","SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list","None self.RequestId = None def _deserialize(self, params): if params.get(\"Data\") is","Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language",":param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\"","int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of","= set(params.keys()) for name, value in vars(self).items(): if name in","r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail:","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","\"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id:","params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\")","\"\"\" self.IssueType = None self.Events = None self.TotalCount = None","None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName =","联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId:",":param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\"","params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for item in","are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self):","are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self):","list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param","self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId","QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio:","None self.DB = None self.State = None self.Command = None","None self.ScoreLostMax = None self.Items = None def _deserialize(self, params):",":param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID","params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if",":type RequestId: str \"\"\" self.Advices = None self.Comments = None","are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self):","str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。","MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。","\"\"\" self.EventId = None self.DiagType = None self.StartTime = None","SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT：","self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name","str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例","Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为","float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。","InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str",":param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type","self.Problem = None self.Severity = None self.StartTime = None self.Suggestions","DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type","核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int","\"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric:","self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo()","= params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts = []","= None self.Unit = None self.Values = None def _deserialize(self,","params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\")","_deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。","of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type","\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId =","返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","\"\"\" self.InstanceConfs = None self.Regions = None self.Product = None","StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param","non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime =","Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time:","self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId",":param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo =","TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type","int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。","= InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体",":type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param","= params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host =",":param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count = None","云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product:",":type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param","def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param","list of int \"\"\" self.Series = None self.Timestamp = None","0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置,","self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax","list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。","Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All","= params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def","= params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB =","TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param","QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg:","Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel):","self.Remain = None self.Total = None self.AvailableDays = None self.RequestId","None self.StartTime = None self.EventId = None self.Severity = None",":type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param","= params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline =","= SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\")","str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。","null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" -","ProfileName: str \"\"\" self.ProfileType = None self.Product = None self.Offset",":type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId:","GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status:","self.Items = [] for item in params.get(\"Items\"): obj = SlowLogHost()","def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo =","str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product =","params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\")","ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType","params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`","class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress","str \"\"\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self,","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId =","_deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set =",":type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\",","None self.Vip = None self.Vport = None self.Product = None","self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree","实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type","= params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in vars(self).items():","IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。",":type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param","params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param","\"\"\" self.TotalCount = None self.DbScanStatus = None self.Items = None",":type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\"","are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self):","params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\")","str \"\"\" self.ID = None self.User = None self.Host =","params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\")","str \"\"\" self.TotalCount = None self.Contacts = None self.RequestId =","EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime:","= None self.Product = None self.EventCount = None self.InstanceType =","None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\")",":param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type","r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求","\"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language:","None self.SchemaList = None self.Product = None def _deserialize(self, params):","= None self.Values = None def _deserialize(self, params): self.Metric =","params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel =","self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region","= params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product =","InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy:","Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost:","are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self):","Id: int :param Name: 联系人姓名。 :type Name: str :param Mail:","= None self.Items = None def _deserialize(self, params): self.IssueType =","TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\"","params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\")",":type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param","\"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None","Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","None self.Tables = None self.SqlPlan = None self.Cost = None","= ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value",":type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of","params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\")","InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip:","int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。","is not None: self.ProfileList = [] for item in params.get(\"ProfileList\"):","of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str",":type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param",":type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts:",":param Count: 告警数目。 :type Count: int \"\"\" self.EventId = None","。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int","\"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","= None self.SortBy = None self.Product = None def _deserialize(self,","class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。","memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\"","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList =","异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param","= None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names =",":type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" -","SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId:","__init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel:",":type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup:","None self.Memory = None self.Volume = None self.EngineVersion = None",":type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type","self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId",":type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel):","params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys())","obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def","int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel:","HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\"",":param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type","r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param","params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not","None self.Info = None self.Limit = None self.Product = None","= params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None self.Product = None self.InstanceIds = None def _deserialize(self,",":type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime = None","str \"\"\" self.InstanceId = None self.ID = None self.User =","预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None","useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\"","None self.ExpireTime = None self.RequestId = None def _deserialize(self, params):",":type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param","class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。","def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:","params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\")","self.TableName = None self.TableSchema = None self.Engine = None self.DataLength","None self.Tasks = None self.RequestId = None def _deserialize(self, params):",":type Schema: str \"\"\" self.InstanceId = None self.SqlText = None","self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language","_deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host =","= params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def","self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel):",":param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type","warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def","ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。","class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set","Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime:",":type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param","= None self.Memory = None self.Volume = None self.EngineVersion =","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Stage","= None self.ProfileName = None self.ProfileType = None self.Product =","结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\"","= params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData()","params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\")","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id = None self.RequestId","None self.Offset = None self.Limit = None self.ProfileName = None","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None",":param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds:","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\")","self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables","null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None","None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\")","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组","def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param","self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\"","来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list","总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float",":type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param","= params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio =","self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity",":param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type","self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info","self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set","\"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int","fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def","任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo`",":param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回",":param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId:","None self.TableSchema = None self.Engine = None self.DataLength = None","def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText =","12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","\"\"\" self.Product = None self.Names = None def _deserialize(self, params):","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None:","params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\")","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User =",":type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of","str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds:","self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength","ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"",":param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type","self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product","= params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set =","fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None","None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None",":param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel):",":type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param",":param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type",":type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds:","= None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit =","% \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param",":type RequestId: str \"\"\" self.Events = None self.RequestId = None",":type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param","RequestId。 :type RequestId: str \"\"\" self.ProfileList = None self.TotalCount =","\",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric:","r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\"","self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for","bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param","self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration","None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None",":param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type","ANY KIND, either express or implied. # See the License",":param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" -",":param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type","任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\"","\",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan:","# See the License for the specific language governing permissions","if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set",":type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param","useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\"","None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None","\"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount =",":param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None","None def _deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes","str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime:","= None self.Timestamp = None self.RequestId = None def _deserialize(self,","EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId:","None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is","MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel):","self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf =","self.ContactPerson = None self.ContactGroup = None self.Product = None def",":type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param","ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost =","= None self.SqlExecId = None self.Product = None def _deserialize(self,","None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型）","self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit","params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo:","Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:","not None: self.Rows = [] for item in params.get(\"Rows\"): obj","self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None:","= params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set =",":param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type","Licensed under the Apache License, Version 2.0 (the \"License\"); #","__init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo","None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None","RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg:","None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None","\"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity = None","params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\")","% \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param","int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param","def _deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes =","self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\")","self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax","= None self.LogEndTime = None self.TotalSize = None self.DangerLevels =",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events","params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\")","CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime:","None self.CreateTime = None self.Status = None self.Progress = None","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str","- 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset:","int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数","str \"\"\" self.TotalCount = None self.Tasks = None self.RequestId =","obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None:","ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None self.Product","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int","\"\"\" self.TotalCount = None self.Items = None self.RequestId = None","Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","= None self.Time = None self.Info = None def _deserialize(self,","_deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText =","\"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None",":type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items:","self.State = None self.Command = None self.Time = None self.Info","def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId","self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain",":param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type",":param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product","注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region:","_deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset =","Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param","MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None def","useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\"","Product: str \"\"\" self.Name = None self.ContactInfo = None self.Product","EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline:","params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\")","self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion",":param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type","are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self):","params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set =","None self.Name = None self.Mail = None def _deserialize(self, params):","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\"","None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\")","str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为",":type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param",":type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName:",":param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库",":type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\"","params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set","params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\")","class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求","联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id,","= params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime =",":type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param","self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体","class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。","= None self.Vport = None self.Product = None self.EngineVersion =","= params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set =","_deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost =","useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\"","RequestId: str \"\"\" self.Threads = None self.SqlExecId = None self.RequestId",":param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None",":type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param","RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax:","params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\")","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId","int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。","None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params):","RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def",":param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type","严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int","\",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id:","self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\"","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not","结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1","self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def","str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","= None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId =","DangerLevels: list of int \"\"\" self.SecAuditGroupId = None self.StartTime =","str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。","null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\")","AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str","= params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self):","= [] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item)",":param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","% \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param","= None self.ProfileType = None self.Product = None self.BindInstanceIds =","\"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount:","InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param",":type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount","is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is","\",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType:","fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def",":type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int :param","params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel):","Timestamp: int \"\"\" self.Count = None self.Timestamp = None def","RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate:","self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType","= params.get(\"Names\") memeber_set = set(params.keys()) for name, value in vars(self).items():","fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def","self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\"))","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth = None","诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed",":param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries","QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy:","监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type","self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for","\",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID:","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def",":param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount:","null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回","= params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set =","Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion:","def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class",":type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str","None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None","= params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime =",":class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","= [] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item)",":param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None","useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\"","self.Data = None self.RequestId = None def _deserialize(self, params): if","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。","实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","= params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime =",":param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type","for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount","# you may not use this file except in compliance","OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay","= None self.SeriesData = None def _deserialize(self, params): self.TableSchema =","InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName:",":type Vip: str :param Vport: 内网端口。 :type Vport: int :param","\",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。","for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp","= None self.Stage = None self.Threads = None self.SqlExecId =","WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`","self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices","ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type","self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays","User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB:","= MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体","Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int","异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type","线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str","= params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime =","of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost",":param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type",":param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","= params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of","注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric =",":param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId:","SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str",":param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10","ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求","for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId","params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value","任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list","AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId","useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\"","= params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set =","_deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set =","str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件","最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int","self.TotalCount = None self.Groups = None self.RequestId = None def","= params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product =","= None self.ProfileName = None def _deserialize(self, params): self.ProfileType =","\"\"\" self.Period = None self.TimeSeries = None self.SeriesData = None","self.SchemaList = [] for item in params.get(\"SchemaList\"): obj = SchemaItem()","None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name,","= params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int","Limit: int \"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds","- 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is","= None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain =","def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param","Md5: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime","__init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param","int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求","self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag",":type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\"","= params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength =","self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。",":type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param","are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self):","memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","None self.Name = None self.MemberCount = None def _deserialize(self, params):","= None self.Offset = None self.SchemaList = None self.Product =","None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\")","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\"",":param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type","异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int","线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str","[] for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj)","params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\")","Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames:","\"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime","def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set","is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys())","of int \"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime","for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId","None self.InstanceId = None self.Metric = None self.Region = None","params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys())","params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","\",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series:","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId =",":param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库","= params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None self.Metric = None self.Count = None def _deserialize(self,",":param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type","useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\"","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #",":class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host:","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId","= None self.Md5 = None def _deserialize(self, params): self.LockTime =","list of float \"\"\" self.Metric = None self.Unit = None","self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio","__init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows:","params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for item in","数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel:","r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。","_deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel):","__init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio:","self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def",":type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type",":type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param","Apache License, Version 2.0 (the \"License\"); # you may not","r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。","% \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param","int \"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity =",":param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float","None self.Product = None self.Offset = None self.Limit = None","语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration:","子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str","null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None","None self.ScoreLost = None self.Metric = None self.Count = None","not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj","str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product:","self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for","\",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"",":type BindInstanceIds: list of str \"\"\" self.ProfileInfo = None self.ProfileLevel",":type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount = None","None self.EventId = None self.Explanation = None self.Outline = None","LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int",":param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type","self.DiagType = None self.EventId = None self.Explanation = None self.Outline","int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。","in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\")","params.get(\"Series\") is not None: self.Series = [] for item in",":param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId:","UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count:","self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId","None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj =","Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount:","def __init__(self): r\"\"\" :param Count: 总数 :type Count: int :param","配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\")","self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if","__init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime:","DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime:","ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。","StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product:","None self.Vport = None self.Product = None self.EngineVersion = None","= None self.Total = None self.AvailableDays = None self.RequestId =","如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes =","数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str","= None self.Remain = None self.Total = None self.AvailableDays =","\"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str",":type Product: str \"\"\" self.InstanceId = None self.Time = None","not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj","params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\")","\"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。","class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int","ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。","HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type","RequestId。 :type RequestId: str \"\"\" self.Period = None self.TimeSeries =","self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not",":type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" -",":type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param","= params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration()","__init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names:","= params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name,","# -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL","params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\")","class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources =","RequestId: str \"\"\" self.DiagItem = None self.DiagType = None self.EventId","self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit","str :param Regions: 根据地域条件查询。 :type Regions: list of str \"\"\"","params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\"","RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg:","Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int","Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","\"\"\" self.Threads = None self.SqlExecId = None self.RequestId = None","= params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def",":param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type","= params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\")","self.UserHost = None self.Ratio = None self.Count = None def","= None self.EndTime = None self.Product = None self.Md5 =","if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for item","{instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str",":param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type",":type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\"","= None self.Name = None self.Mail = None def _deserialize(self,","None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\")","= None self.StartTime = None self.EndTime = None self.CreateTime =","self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId","self.TotalCount = None self.RequestId = None def _deserialize(self, params): if","None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product =","= params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def","Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str",":type Status: str :param Progress: 任务执行进度。 :type Progress: int :param","ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type","int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType =","HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\",",":type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param","TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。","float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数","= None self.EndTime = None self.Product = None def _deserialize(self,",":type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param","int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int","开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type","in compliance with the License. # You may obtain a","def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class","obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel):","params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name, value","def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId",":param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type","self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product","self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体","of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" -",":param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回","= None self.DbScanStatus = None self.Items = None self.RequestId =","params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name, value","params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\")","表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str","联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str","params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries","= None self.MailConfiguration = None def _deserialize(self, params): self.Language =","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy","fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def","Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion:","params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\")","_deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs()","EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo:","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\")",":type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None","StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param","StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。","r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param","平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float","params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","with the License. # You may obtain a copy of","MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0,","AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。","= params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo()","Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays:",":param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库","SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId","str \"\"\" self.Id = None self.RequestId = None def _deserialize(self,","params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","= None self.ScoreLost = None def _deserialize(self, params): self.DiagItem =","is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"):",":param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type","= None self.ID = None self.User = None self.Host =","self.Source = None self.Progress = None self.CreateTime = None self.StartTime","- 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels:","配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product:",":param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount:","None self.SqlText = None self.Schema = None self.QueryTimeRatio = None","params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value","定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str :param HealthLevels:","InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime:",":param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type","ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list","except in compliance with the License. # You may obtain","= None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin =","\"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID:","float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数","组id。 :type Id: int :param Name: 组名称。 :type Name: str","None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None","self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product","str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。","None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\")","def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product","params.get(\"ProfileList\") is not None: self.ProfileList = [] for item in","self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\") is not","params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\")","InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus()","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User","params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\")","CONDITIONS OF ANY KIND, either express or implied. # See",":param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str","str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" -","实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT：",":param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None","int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\"","HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson:","None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None","= ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType","obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def","useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\"","cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source","self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def","None self.Cost = None self.RequestId = None def _deserialize(self, params):","None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\"","[] for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj)","value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set)","= None self.EndDate = None self.Product = None def _deserialize(self,","int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒","if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId","实例 ID 。 :type InstanceId: str :param EventId: 事件 ID","self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set","str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。","注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。","None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name,","params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param","fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def","% \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param","诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type","= None self.SqlTemplate = None self.SqlText = None self.Schema =","= [] for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item)","Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema:","None self.Offset = None self.SchemaList = None self.Product = None","= params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items():","= params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set =","self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self):","None self.Time = None self.Info = None def _deserialize(self, params):","- 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。","\",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:",":param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type","int \"\"\" self.Count = None self.Timestamp = None def _deserialize(self,","params.get(\"Contacts\") is not None: self.Contacts = [] for item in","def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。","该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int","self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime","params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","= params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime =","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int","= None self.Progress = None self.LogStartTime = None self.LogEndTime =","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads =","12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads","IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events:","def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool","= params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for",":type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of","self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema","self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体","= None self.Metric = None self.Region = None def _deserialize(self,","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events = None","= params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus =","% \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"",":type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of","__init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks:","FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows:","None def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is","= params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate =","obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel):","DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","% \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source","= params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events = []","= params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson =","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product","接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\"",":type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\")","None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\"TableName\")","= ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in","健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\"","= None self.InstanceName = None self.Region = None self.HealthScore =","not None: self.Groups = [] for item in params.get(\"Groups\"): obj","__init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。","RequestId: str \"\"\" self.Id = None self.RequestId = None def","= None self.EndTime = None self.CreateTime = None self.Status =","= None self.Count = None def _deserialize(self, params): self.UserHost =","= params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name,","obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def",":type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param","self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product","RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId =","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product","- 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type","= params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name,","self.Contacts = [] for item in params.get(\"Contacts\"): obj = ContactItem()","self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\") is not","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel):","云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\"","None self.EventCount = None self.InstanceType = None self.Cpu = None","params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\")","str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。","None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys())","None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId",":type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param","= None self.ContactGroup = None self.Product = None def _deserialize(self,","def _deserialize(self, params): if params.get(\"Events\") is not None: self.Events =","self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo","RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax:","params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is",":param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type","TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows:","self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime","配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type","params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp =","self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for","self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value",":param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\"","None self.Cpu = None self.Memory = None self.Volume = None","= params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def","self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem","= None self.User = None self.Host = None self.DB =","params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\")","self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self):","useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\"","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit","by applicable law or agreed to in writing, software #","= None self.Offset = None self.Limit = None def _deserialize(self,","params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","if params.get(\"Tasks\") is not None: self.Tasks = [] for item",":type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId:","params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\")","单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu","ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel =","\"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\",","服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId","self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId","Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product","self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText","self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in","总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float","in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\")","self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength","class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求","item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体","健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str","self.DbScanStatus = None self.Items = None self.RequestId = None def",":param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None",":param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region:","None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\")","self.EventId = None self.Severity = None self.Outline = None self.DiagItem","\"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList =","params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","= None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\")","self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus","applicable law or agreed to in writing, software # distributed","self.Time = None self.Info = None self.Limit = None self.Product","\"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList:","= params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None:","Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime:","self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId","\"\"\" self.Series = None self.Timestamp = None def _deserialize(self, params):","None self.EndTime = None self.Product = None def _deserialize(self, params):","self.AsyncRequestIds = None self.Offset = None self.Limit = None def","self.Metric = None self.EndTime = None self.RequestId = None def","utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a","self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus","None self.DiagType = None self.StartTime = None self.EndTime = None","fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def","None self.Limit = None self.Offset = None self.SchemaList = None","扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str","分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int","TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None self.Events","= params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = []","DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime:","params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\")","TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0","\"\"\" self.InstanceId = None self.EventId = None self.Product = None","are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self):","None self.EndTime = None self.StartTime = None self.EventId = None","self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy =","返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type","= params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set =","for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp","= None self.Limit = None self.InstanceNames = None self.InstanceIds =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel):","params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\")","None self.Metric = None self.Region = None def _deserialize(self, params):","= [] for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item)",":param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type","str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId =","item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId =","= None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\")","def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds","int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。",":type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param","def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param","self.Vip = None self.Vport = None self.Product = None self.EngineVersion","= params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg =","= None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId =","= None self.Cost = None self.RequestId = None def _deserialize(self,","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel):","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。","None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\"Language\")",":type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength = None","单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData =","RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes:","= None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus =","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads","内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str","self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set","self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel","null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" -","item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set =","str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。","= params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName =","str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\"","ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体","None self.Outline = None self.DiagItem = None self.InstanceId = None","params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData","self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay","params.get(\"SchemaList\") is not None: self.SchemaList = [] for item in","= params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type","params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\")","if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName","\"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","= params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId =","诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str","= None self.Ratio = None self.Count = None def _deserialize(self,","\"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str","self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId","params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\")","= None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product =","否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type","self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set","ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product =","None: self.Events = [] for item in params.get(\"Events\"): obj =","int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\"","\"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type Count: int","\"License\"); # you may not use this file except in","Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type","ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。",":type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries =","None: self.Rows = [] for item in params.get(\"Rows\"): obj =","- 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost:","任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str","= params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList = []","\",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId:","= None self.ScoreLost = None self.Metric = None self.Count =","__init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\"","self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in","self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for","useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\"","Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit:","__init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts:","None self.ProfileName = None self.BindInstanceId = None self.Product = None","not None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel):","str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str","= params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set =","Product: str \"\"\" self.StartTime = None self.EndTime = None self.InstanceIds","self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax","None self.Time = None self.Info = None self.Limit = None","= None self.Count = None self.ScoreLost = None def _deserialize(self,","% \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param","None self.Engine = None self.SeriesData = None def _deserialize(self, params):",":type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength = None self.IndexLength","- 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。","is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\")","IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax:","str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name =","def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product","def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of","= None self.EventId = None self.Product = None def _deserialize(self,","= params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\")","= params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name,","= None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio =","self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent",":type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events = None self.RequestId","= params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport =","self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not","% \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param","None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None",":type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。","r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product:","params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\"))","偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int","= None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self,","= None self.Engine = None self.SeriesData = None def _deserialize(self,","self.InstanceId = None self.AsyncRequestId = None self.Product = None def","= params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count =","self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not","self.Events = [] for item in params.get(\"Events\"): obj = EventInfo()","云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds","None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体","DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of","fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def","fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def","str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self,","IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。","is not None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"):","Product: str \"\"\" self.InstanceId = None self.RangeDays = None self.Product","\"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:","AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","\"\"\" self.InstanceId = None self.RangeDays = None self.Product = None","采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","= [] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item)","def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str :param","RequestId。 :type RequestId: str \"\"\" self.Events = None self.RequestId =","None self.TimeSeries = None self.SeriesData = None self.RequestId = None","None self.DeployMode = None self.InitFlag = None self.TaskStatus = None","RequestId: str \"\"\" self.ProcessList = None self.RequestId = None def",":param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None","返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\"","私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs`","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit:","self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for","EndTime: str :param Outline: 概要。 :type Outline: str :param Severity:","\"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。","int \"\"\" self.SendMail = None self.Region = None self.HealthStatus =","[] for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj)","任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str","= None self.TableSchema = None self.Engine = None self.SeriesData =","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period = None","注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID =","[] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj)","None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据","self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self):","不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str","int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。","手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" -","None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\")",":param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。","= params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def","Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain:","self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio","params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys())","params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\")","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region","null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str","self.Count = None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType","None self.ScoreLost = None self.ScoreLostMax = None self.Items = None","InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param","= None self.HealthScore = None self.HealthLevel = None def _deserialize(self,",":type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param","str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime:","self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for","fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def","= None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails =",":param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type","[] for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj)","\"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str",":type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param","ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。",":type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime:","= params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items():","None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\")","\"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None","= None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\")","\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param","self.Tasks = None self.TotalCount = None self.RequestId = None def","None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def",":type RequestId: str \"\"\" self.Threads = None self.SqlExecId = None","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\")","params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\")","Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments:","self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set",":param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\"","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type",":param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime:","AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int","ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product:","= None self.EventId = None self.Explanation = None self.Outline =","class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。","SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus:","最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int","str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays","None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\")","HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。","None self.Regions = None self.Product = None self.InstanceIds = None","def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset","Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product:","self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime","MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def",":type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","\"\"\" self.SendMail = None self.Region = None self.HealthStatus = None","= None self.DataLength = None self.IndexLength = None self.DataFree =","params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\")","None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name,","= [] for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item)","you may not use this file except in compliance with","DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" -","- 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括：",":type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime:",":class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None def _deserialize(self,","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 =","class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。","\"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:","str \"\"\" self.Growth = None self.Remain = None self.Total =",":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type","InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime:","self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo","扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int","int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of","in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\")","返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","__init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type",":param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回","of int \"\"\" self.Series = None self.Timestamp = None def",":type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param","__init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list","= None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set =","def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param",":type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def",":type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param","= None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema =","MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type","Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。","self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax","\",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","company. All Rights Reserved. # # Licensed under the Apache","None self.Count = None def _deserialize(self, params): self.EventId = params.get(\"EventId\")","Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume:","None self.Limit = None self.ProfileName = None def _deserialize(self, params):","= params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name,","is not None: self.Rows = [] for item in params.get(\"Rows\"):","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Groups","fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def","self.EngineVersion = None self.Vip = None self.Vport = None self.Source","取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type","开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中；","ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup:","None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo","int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。","。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type","执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str","params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for","self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","- 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1","= None self.Outline = None self.Severity = None self.ScoreLost =","= params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType =","self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\"","self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","\"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel):","for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId","TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type",":param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp:",":type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId:","云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId =",":param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type","params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\")","InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy:",":param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type","StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param","SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema:","str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of","self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\") is not","item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId =","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Limit =","params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is","params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\")","\",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads:","RequestId: str \"\"\" self.Period = None self.TimeSeries = None self.SeriesData","% \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param","self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime","TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine:",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id","self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\"","list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param","= None self.DiagItem = None self.InstanceId = None self.Metric =","AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\"",":type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param","file except in compliance with the License. # You may","params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName =","__init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions:","params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name, value",":type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type","AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\"","TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。","class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求",":param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id = None","GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type","= None self.SqlText = None self.Schema = None self.Tables =","self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for","self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set","str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel):","str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self,","params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration:","in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is",":param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type",":param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type","self.StartTime = None self.EndTime = None self.Outline = None self.Severity",":param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId:","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels =",":type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param","self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema",":type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","= None self.Product = None self.AsyncRequestIds = None self.Offset =","int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName =","params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\")","list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None","单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\"","self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in",":param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\"","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel):","params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if",":type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of","self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\"Period\")","_deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = []","InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User:","str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括：","str \"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product =",":type RequestId: str \"\"\" self.TotalCount = None self.Items = None",":param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type","params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\")","= params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in","None self.SeriesData = None self.RequestId = None def _deserialize(self, params):","MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds =","InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit:","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID","import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\"","% \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param","def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values",":type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId = None","self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin","= None self.ScoreLostMax = None self.Items = None def _deserialize(self,","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime =",":type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of","开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str",":type Count: int \"\"\" self.EventId = None self.DiagType = None","= params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info =","= params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name,","导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回","% \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type","= None self.Groups = None self.RequestId = None def _deserialize(self,","= None self.CreateTime = None self.StartTime = None self.EndTime =","TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData:","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5:","_deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def","params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\")","are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self):",":type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product","params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for item in","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型）","相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str","\"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str","\"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type Id:","params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\")",":param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product:","params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value","= None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息","self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= None self.RequestId = None def _deserialize(self, params): self.Advices =","__init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime:","self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth","User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB:","self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId","params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime:","= MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys())","EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str","InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus =",":param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。",":type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" -","str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。","are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self):","None self.DbScanStatus = None self.Items = None self.RequestId = None","def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int","list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"","SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param","self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore","InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu:",":type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize:",":param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括：","\",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema:","获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\")","\"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema:","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\")","= params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set =",":type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str","= params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin =","obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel):","= params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit","Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName:","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\")","云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product:","RequestId。 :type RequestId: str \"\"\" self.ProcessList = None self.RequestId =","def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime","InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported:","self.EndTime = None self.CreateTime = None self.Status = None self.Progress","_deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def","class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。","InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore:","self.InstanceNames = None self.InstanceIds = None self.Regions = None def","self.InstanceName = None self.Region = None self.HealthScore = None self.Product","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl =",":type Severity: int :param Outline: 诊断概要。 :type Outline: str :param","self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel):","\"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str","= None self.DataFree = None self.TotalLength = None self.FragRatio =",":param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId:",":param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type",":param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type",":param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel):","int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。","kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。",":type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param","fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def",":type Region: str \"\"\" self.DiagType = None self.EndTime = None","= None self.Product = None def _deserialize(self, params): self.SecAuditGroupId =","self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\")","Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","\",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId:","监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type",":param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type","int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem =","健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int","添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys())","_deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds =","self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for","DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type","class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数",":param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list","self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail()","are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self):","数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float","\"\"\" self.TableSchema = None self.DataLength = None self.IndexLength = None","= params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source =","self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not","fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def",":type TotalCount: int :param Rows: 慢日志 top sql 列表 :type","None self.InstanceName = None self.Vip = None self.Vport = None","self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType","self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount","UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回","self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree","None self.State = None self.Command = None self.Time = None","DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","[] for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj)","ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回","useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\"",":param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type","_deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = []","DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType:","RequestId。 :type RequestId: str \"\"\" self.DiagItem = None self.DiagType =","= params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag =","事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type","= params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions =","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\")","= params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name,","self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\"","= None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax =","扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType","self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries()","r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。","self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin","异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int","def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param","IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\"",":type Host: str :param DB: 线程的操作数据库。 :type DB: str :param",":type RequestId: str \"\"\" self.Urls = None self.RequestId = None","str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。","SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema:","CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\")","None self.Region = None self.HealthScore = None self.Product = None","= params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion =","sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float","params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\")",":param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" -","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\"","= None self.Info = None def _deserialize(self, params): self.ID =","慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param","params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\")","EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 -","IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost:","AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus:","CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type","TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class","self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes","self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","None self.Region = None self.HealthStatus = None self.ContactPerson = None","License. # You may obtain a copy of the License","__init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain:","\"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl:","self.InstanceId = None self.ID = None self.User = None self.Host","诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type","None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None",":type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。","self.User = None self.Host = None self.DB = None self.State","params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value","self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime","the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel):","EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel:","params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","= None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore =","self.Groups = [] for item in params.get(\"Groups\"): obj = GroupItem()","= params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None:","定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type","None self.EndTime = None self.CreateTime = None self.Status = None","= None self.CreateTime = None self.Status = None self.Progress =","None self.StartDate = None self.EndDate = None self.Product = None","class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self):","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId = None","str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema =","fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def","= params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","= params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in vars(self).items():","str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。",":type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param","InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。","None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int","self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection",":param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\"","SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type","__init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值：","self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg",":param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type","self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if",":type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param","注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime:","def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class","def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param","fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def","\"\"\" self.DiagItem = None self.DiagType = None self.EventId = None","Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText:","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product =","fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId:","邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount:","are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self):","None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is",":param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel):",":type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of","Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit:","self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.",":type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\"","诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str",":type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param","params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\")","required by applicable law or agreed to in writing, software","= None self.SqlExecId = None self.RequestId = None def _deserialize(self,","= None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName =","BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" -",":type Product: str \"\"\" self.InstanceId = None self.ID = None","self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus","self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if","= [] for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item)",":param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type","def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries =","OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit:","\"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries:","RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId = None def","AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库","agreed to in writing, software # distributed under the License","Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set","self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for","\"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product = None",":type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None",":param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\",","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups","for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount","for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds:","null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3","配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo = None","r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type","User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host:","useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\"","Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int","导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type","= params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups = []","= params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset =","None self.Schema = None self.Tables = None self.SqlPlan = None","None self.Progress = None self.CreateTime = None self.StartTime = None","= None self.InstanceId = None self.Metric = None self.Region =","params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId:","are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self):","Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info:","\"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。","obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set =","\"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth:","= params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined =","self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product","are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self):",":type HealthScore: int :param Product: 所属产品。 :type Product: str :param","\"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\") is","params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\")","useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\")","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId","InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID:","params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo","None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\")","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema =","DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo","Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。","库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None",":param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize:","\"\"\" self.TotalCount = None self.Contacts = None self.RequestId = None","OR CONDITIONS OF ANY KIND, either express or implied. #","params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self):","class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。","r\"\"\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。","RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def","注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。","Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime:","str \"\"\" self.TotalCount = None self.Rows = None self.RequestId =","开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str",":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10","params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value","fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def","params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\")","Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求","self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost","in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\")",":type Product: str :param Offset: 分页偏移量。 :type Offset: int :param","= params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set =","ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit:","self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId","Md5: str \"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\"",":param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type","class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。","class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。","None self.EndTime = None self.RequestId = None def _deserialize(self, params):","__init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorMetric","\"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product:","str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。","self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\"","self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime",":param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type","params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set =",":param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem",":param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type","内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\"",":type Md5: str \"\"\" self.InstanceId = None self.StartTime = None","not None: self.Items = [] for item in params.get(\"Items\"): obj","self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","= None self.GroupId = None self.GroupName = None self.Status =",":param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type","in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\")","DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。","may not use this file except in compliance with the","self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State","None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name,","% \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param","EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType:","= params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity","Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime:","QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax:",":param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type","def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength","# # Licensed under the Apache License, Version 2.0 (the","% \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param","= None self.InstanceType = None self.Cpu = None self.Memory =","= params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None:","= None self.RequestId = None def _deserialize(self, params): self.Growth =","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels","self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions","线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str","useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\"","= params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。","self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。","Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str","of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in","= None self.Product = None self.Offset = None self.Limit =","平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product",":type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime:",":param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy:",":type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param",":param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup:","self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if","r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。","None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel):","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Limit","set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","% \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList = None","None self.CreateTime = None self.StartTime = None self.EndTime = None","None self.Time = None self.Product = None def _deserialize(self, params):","云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str","obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId =",":param Rows: 慢日志 top sql 列表 :type Rows: list of","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.RangeDays =","are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self):","useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\"","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region =","ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items:","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls =","of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str",":type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param","None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None","self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name, value in","self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport","r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。","ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\"","are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self):","% \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\"","params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value","params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId","self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId","# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company.","str :param Region: 地域。 :type Region: str \"\"\" self.DiagType =","健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int","self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax","0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson:","self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio","Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId","are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self):","库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float","if params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId","null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type","self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio","= None def _deserialize(self, params): if params.get(\"IssueTypes\") is not None:","MemberCount: int \"\"\" self.Id = None self.Name = None self.MemberCount","params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit:",":param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type","None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\")","注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType =","fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def","SqlText: str :param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId","__init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId:",":param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId = None","self.Unit = None self.Values = None def _deserialize(self, params): self.Metric","self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not",":type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param","fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def","self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product","\"\"\" self.InstanceId = None self.Stage = None self.Threads = None","- 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type","[] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj)","\"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str","__init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId:","str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。",":type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param","_deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product =","实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int","fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def","= params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def","= params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set =","ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText:",":type Time: str :param Info: 线程的操作语句。 :type Info: str \"\"\"","= params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds =",":param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","None def _deserialize(self, params): if params.get(\"Data\") is not None: self.Data","是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param","= params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items = []","self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin","params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\")","Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime","str \"\"\" self.InstanceId = None self.InstanceName = None self.Vip =","fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def","= params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status =","None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None",":type RequestId: str \"\"\" self.RequestId = None def _deserialize(self, params):","self.TotalCount = None self.Items = None self.RequestId = None def","params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())",":type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str","self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\"","in writing, software # distributed under the License is distributed","self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost","= params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set =","= None self.Vport = None self.Source = None self.GroupId =",":type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize:","self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType",":param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type","str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。","\"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type","None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\")","params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self):","float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。","params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys())","r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId =",":param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type","self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId",":type RequestId: str \"\"\" self.Growth = None self.Remain = None","null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric = None","ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit:","None self.Metric = None self.Count = None def _deserialize(self, params):","IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count:","= ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product","__init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType:","__init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param TableSchema:","ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type","IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo","CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体","class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。","params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\")","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore","高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\"","self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self):",":param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def","are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self):","= None self.Explanation = None self.Outline = None self.Problem =","DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId:","= None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus =","params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric:","self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def","self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name","None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None",":param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type","ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\"",":param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID = None","str \"\"\" self.Product = None self.Names = None def _deserialize(self,","def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param","该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int","self.Time = None self.Info = None def _deserialize(self, params): self.ID","None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy","None self.EndDate = None self.Product = None def _deserialize(self, params):","self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData","params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","= params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set =",":param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None","self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText","params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\")","LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str","r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param","\"\"\" self.InstanceId = None self.Limit = None self.SortBy = None","if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set","Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","# Unless required by applicable law or agreed to in","RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId","Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None self.Name","str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。","params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\")","= None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId =",":param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType:","InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" -","the Apache License, Version 2.0 (the \"License\"); # you may","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\"","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel):","= None self.EndTime = None self.InstanceIds = None self.Sources =","self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined","RequestId。 :type RequestId: str \"\"\" self.Advices = None self.Comments =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel):","= None self.ExecTimes = None self.SqlTemplate = None self.SqlText =","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem = None self.DiagType","params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys())","ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\"","None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\")","= params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId =","QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax:","self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds","= params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in vars(self).items():","None: self.ProfileList = [] for item in params.get(\"ProfileList\"): obj =","[] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj)","class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。","注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","= None self.ContactPerson = None self.ContactGroup = None self.Product =","未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。","params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys())","RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus = None self.Items",":param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type",":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param","\"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。",":param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type","诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str","float \"\"\" self.TableName = None self.TableSchema = None self.Engine =","\",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl:","None self.AvailableDays = None self.RequestId = None def _deserialize(self, params):","int \"\"\" self.Series = None self.Timestamp = None def _deserialize(self,","float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数","params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\")","None self.StartTime = None self.EndTime = None self.Product = None","of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","Region: 地域。 :type Region: str \"\"\" self.DiagType = None self.EndTime",":param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param",":type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups:","= None self.RequestId = None def _deserialize(self, params): self.Urls =","self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id","= None self.Comments = None self.SqlText = None self.Schema =","__init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData","r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay:","安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime:","\"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。","r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。","self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree","params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\")","if params.get(\"ProcessList\") is not None: self.ProcessList = [] for item","Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的",":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel:","实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回","\"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount:","fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def","None self.Product = None self.DangerLevels = None def _deserialize(self, params):","None self.Ratio = None self.Count = None def _deserialize(self, params):","self.Series = [] for item in params.get(\"Series\"): obj = MonitorFloatMetric()","None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体","obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId =","str \"\"\" self.InstanceId = None self.SqlText = None self.Schema =","HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product:","_deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values =","Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count = None self.Timestamp","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId =","= None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None:","InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus:","null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product","None self.OrderBy = None self.Limit = None self.Offset = None","item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId =","TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask","\"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric:","= None self.EndTime = None self.SendMailFlag = None self.ContactPerson =","= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds =","paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName","int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。","\",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId:",":param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str","\",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables:","str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。","in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys())","fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def","DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type","self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem","str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative","% \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。",":param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type","报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type","self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin","in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\")","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" %","self.InstanceType = None self.Cpu = None self.Memory = None self.Volume",":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11",":param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type","list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","\"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs`","self.TaskStatuses = None self.Offset = None self.Limit = None self.Product","\"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported:","危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel):","None self.TableSchema = None self.Engine = None self.SeriesData = None","DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","= params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg =","InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema:","DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。","None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\")","params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体","self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count","- 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type","\"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type Id: int","class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10","Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str",":type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param","InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product:","MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type","SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema:","params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type","self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio","params): if params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for","params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\")","实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str","= params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product =","DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported:","\"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema:",":type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param","AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus:","ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType:","\",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls:","are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self):","str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type","self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset",":type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\"","self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate","DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type","obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel):","None self.StartTime = None self.EndTime = None self.InstanceInfo = None","obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name,","def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax",":type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None","\",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList:","obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel):","\"\"\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params):","\"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否;","LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel):","def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime","self.Items = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost","= params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name,","for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp","TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items:","r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime:","CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type","= params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in vars(self).items():","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Items","are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self):","str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName =","class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。","DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int",":param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type","int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str","is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys())","= None self.EndTime = None self.Outline = None self.Severity =","实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId =","def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs =","self.Regions = None self.Product = None self.InstanceIds = None def","self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for","SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type","\"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str","\"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson:","str \"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId =","Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime:","self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体","Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType",":type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param","- 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime =","\",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel):","结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str","% \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\")","Count: int \"\"\" self.EventId = None self.DiagType = None self.StartTime",":param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type","params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\")","params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","None self.Contacts = None self.RequestId = None def _deserialize(self, params):","= params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name,","None self.Source = None self.GroupId = None self.GroupName = None","r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。","is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\")","None self.Limit = None self.InstanceNames = None self.InstanceIds = None","CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type","item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount =","int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param","list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of",":type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\"","self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set","Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param","Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads:","class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。","= None self.Severity = None self.ScoreLost = None self.Metric =","str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。","\"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes:","not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","None: self.SchemaList = [] for item in params.get(\"SchemaList\"): obj =","Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None self.ContactInfo","self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product","params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\")","str \"\"\" self.InstanceId = None self.Time = None self.Product =","DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus:","= params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name,","返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type","self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set","TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema","str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative","is not None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"):","高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int",":param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type","RequestId。 :type RequestId: str \"\"\" self.Urls = None self.RequestId =","params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Contacts =","int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count =","params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。","Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name,","list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param",":param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体",":param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type","- 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\"","% \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param","not None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj","params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys())","def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级,","__init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param","- 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds:","str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。","_deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength =","params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self):","int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。","实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\"","InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText:","self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set =","SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product:","str :param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId =","线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str","def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\")","TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" -","self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric","self.Threads = None self.SqlExecId = None self.Product = None def","= None self.Outline = None self.DiagItem = None self.InstanceId =","RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId =","None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\"Growth\")","item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId =","总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int","obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel):","MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list","None self.Host = None self.DB = None self.State = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。","params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\")","class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。","if params.get(\"Series\") is not None: self.Series = [] for item","扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type","LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio:","bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\"","float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。","配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" -","None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\")","params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\"))","= params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds =","self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail","ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" -",":type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","= params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items():","\"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float","= params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name,",":param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID","% \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\")","None self.Offset = None self.Limit = None def _deserialize(self, params):","None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries","Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\",","str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str","None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\")","EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。","% \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value","of ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax","self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId","用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" +","= params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip =","self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime","= None self.Threads = None self.SqlExecId = None self.Product =",":param Id: 组id。 :type Id: int :param Name: 组名称。 :type","Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId:","self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime","_deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks = []","ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in vars(self).items():",":type Product: str \"\"\" self.InstanceId = None self.Limit = None","r\"\"\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。","r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。","- 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type","self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName","LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。","DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\"","\",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices:","params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float","\"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str :param","= None self.SortBy = None self.OrderBy = None self.Limit =","None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\")","EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" -","= params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree =",":type RequestId: str \"\"\" self.ProfileList = None self.TotalCount = None","\"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None","= None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\")","params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\")","Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str",":type State: str :param Command: 线程的执行类型。 :type Command: str :param","- 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\"","= params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param","Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None self.EndTime","% \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\")","实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal：","总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float","None self.SortBy = None self.Product = None def _deserialize(self, params):","str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。","class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言,","如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration`","\",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","_deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None:","self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip","is not None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"):","self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin","= params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。","in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\")","= params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric =","__init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus:",":type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例","class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。","cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int","QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent:","ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host:","params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf","self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime","useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\")","Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\"","= None self.InstanceConf = None self.DeadlineTime = None self.IsSupported =","str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括：","ID: str :param User: 线程的操作账号名。 :type User: str :param Host:","MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel):","= [] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item)","\"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None","None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None","self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo","SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。",":param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int","params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for","params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\")","str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。","安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list","= params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup =","__init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId:",":param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product =","MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type","self.Offset = None self.SchemaList = None self.Product = None def","str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId =","= TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体","self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries =","None self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\") is","\"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str","StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。","\"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type","self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set","useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\"","\"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params):","QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体","name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if","= None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId =","= None self.ExpireTime = None self.RequestId = None def _deserialize(self,","任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus`","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Items =",":param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param","self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set","= params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows = []","self.Limit = None self.Offset = None self.SchemaList = None self.Product",":type RequestId: str \"\"\" self.TotalCount = None self.Groups = None","\"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None","Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost:","\"\"\" self.Language = None self.MailConfiguration = None def _deserialize(self, params):","线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str","int \"\"\" self.IssueType = None self.Events = None self.TotalCount =","\"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount:","item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product =","null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","RequestId: str \"\"\" self.TotalCount = None self.Items = None self.RequestId","self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in","指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs = None","list of int \"\"\" self.SendMail = None self.Region = None","邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\"","self.Limit = None self.SortBy = None self.StartDate = None self.EndDate","TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求","r\"\"\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。","self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set","= params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","= None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId =","PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo",":type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","= params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":type Product: str \"\"\" self.InstanceId = None self.StartTime = None","= InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus =","= params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs()","= params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set =","% \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","None self.GroupName = None self.Status = None self.UniqSubnetId = None","r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param","AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset:","int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param","__init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries","float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位%","r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。","def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost","governing permissions and # limitations under the License. import warnings","self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate","float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost =",":type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param","开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type","= None self.SqlPlan = None self.Cost = None self.RequestId =","= params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product =","= params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set =","def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of","Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。","SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int","None self.Names = None def _deserialize(self, params): self.Product = params.get(\"Product\")","_deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = []","useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\"","str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。","self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\"","list of str \"\"\" self.Product = None self.Names = None","is not None: self.ProcessList = [] for item in params.get(\"ProcessList\"):","self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。","KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type","self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg","self.Outline = None self.Problem = None self.Severity = None self.StartTime","_deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine =",":type Product: str \"\"\" self.Name = None self.ContactInfo = None","None self.Engine = None self.DataLength = None self.IndexLength = None","params.get(\"Region\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","Schema: 库名。 :type Schema: str \"\"\" self.InstanceId = None self.SqlText","服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for","Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem","TotalCount: int \"\"\" self.IssueType = None self.Events = None self.TotalCount","str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库","None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\")","InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\"","are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self):","% \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","\"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type","None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\"TableName\")","self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in","self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for","导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel):","None self.InstanceNames = None self.InstanceIds = None self.Regions = None","params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\")","。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str","is not None: self.SchemaList = [] for item in params.get(\"SchemaList\"):","DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection","生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param","= params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel):","DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None self.Product =",":param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type","Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product:","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None","self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema","self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set","self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit","self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for","指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric","class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体","self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType","params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\")","None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","not None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj","\"\"\" self.InstanceId = None self.ID = None self.User = None","配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type","= HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。","= None self.FragRatio = None self.TableRows = None self.PhysicalFileSize =","Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables:",":type Metric: str :param Unit: 指标单位。 :type Unit: str :param","str \"\"\" self.ProfileType = None self.Product = None self.Offset =","HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。","str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\"","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\")","express or implied. # See the License for the specific","DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type","MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\"","def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas =","InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport:","params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is","params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\")","None: self.Contacts = [] for item in params.get(\"Contacts\"): obj =","None self.Sources = None self.HealthLevels = None self.TaskStatuses = None","class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。",":param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type","params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\")","健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str","联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail = None","def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount","None self.Severity = None self.StartTime = None self.Suggestions = None","= None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime =",":param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" -","params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData`","str \"\"\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self,","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList = None self.RequestId","\"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","= InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus",":type ProfileName: str \"\"\" self.ProfileType = None self.Product = None","= [] for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item)","\"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。","邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。","self.ProfileType = None self.Product = None self.Offset = None self.Limit","\"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","self.DiagType = None self.StartTime = None self.EndTime = None self.Outline","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\"","= EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys())","None self.StartTime = None self.Suggestions = None self.Metric = None","params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","self.ScoreLost = None self.Metric = None self.Count = None def","= None self.RequestId = None def _deserialize(self, params): self.ReportUrl =","None self.ContactInfo = None self.Product = None def _deserialize(self, params):","= params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\")","= None def _deserialize(self, params): if params.get(\"Events\") is not None:","= params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin =","DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type","sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float","useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\"","self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList =","ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel):","- 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId","= None self.Product = None def _deserialize(self, params): self.Name =","= None self.Product = None self.DangerLevels = None def _deserialize(self,","self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData()","= params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName =","None self.TopSeverity = None self.Count = None self.ScoreLost = None","self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def","HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\"","are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self):","TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData:","UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio:","% \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param",":type Names: list of str \"\"\" self.Product = None self.Names",":type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of","RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5:","组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int","[] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj)","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel):",":param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Tasks","def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList:","DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type",":type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel","obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel):","= params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData()","日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\"","实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str","int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。",":param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\"","self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set","安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int","of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of","__init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax:","str \"\"\" self.StartTime = None self.EndTime = None self.InstanceIds =","params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for","= None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None:","def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param","实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int","EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。",":class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括：","self.InstanceId = None self.StartTime = None self.EndTime = None self.Product","= None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime =","\"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs:","str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。","for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name)",":type RequestId: str \"\"\" self.TotalCount = None self.Contacts = None","obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel):","useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\"","def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine",":type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param","- 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds:","\"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime:","RequestId: str \"\"\" self.TotalCount = None self.Contacts = None self.RequestId",":type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param","Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\"","kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。","class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。","Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product","str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。",":param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type","r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。","AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset:","null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str","= None self.Tasks = None self.RequestId = None def _deserialize(self,",":param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。","params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys())","self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit","class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括：","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体","= params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId =","params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId","not None: self.Events = [] for item in params.get(\"Events\"): obj","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据","[] for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj)","LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。","params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class","Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit:","useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\"","InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","Regions: list of str \"\"\" self.IsSupported = None self.Product =","params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\")","根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None self.Product =","12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime:","= None self.ProfileLevel = None self.ProfileName = None self.ProfileType =","fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def","云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。","None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is","str \"\"\" self.InstanceId = None self.Limit = None self.SortBy =","Values: list of float \"\"\" self.Metric = None self.Unit =","SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求","self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan","self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for","self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product","self.Product = None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime","Version 2.0 (the \"License\"); # you may not use this",":param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","None self.Product = None self.Md5 = None def _deserialize(self, params):","self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg","= SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\")",":class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None self.Progress =","fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def","params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\")",":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type","obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set =","def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity","self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup","= None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg =","def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\"","\"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str",":param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount:",":param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" -","self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType",":type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str","None: self.Tasks = [] for item in params.get(\"Tasks\"): obj =",":type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param","= params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items():","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip =","_deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds =","str \"\"\" self.Tasks = None self.TotalCount = None self.RequestId =","SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio:","if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set","def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\"","\"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。",":type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl","= None self.SeriesData = None self.RequestId = None def _deserialize(self,","str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id =","\",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:",":type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param","None def _deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList","定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库",":param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type","= None self.ProfileType = None self.ProfileLevel = None self.ProfileName =","None self.ProfileType = None self.Product = None self.BindInstanceIds = None","Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。","实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str","of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\"",":type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\"","params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set","self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\"",":param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId:","= params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit =","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip","self.Items = [] for item in params.get(\"Items\"): obj = ScoreItem()","params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\")","self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if","Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。","r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is","健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source =","= params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate =","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth = None self.Remain","Id: int :param Name: 组名称。 :type Name: str :param MemberCount:","def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not","= params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None:","诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type",":param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type","。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type","params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\")","[] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj)","AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type","self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name, value in","= None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User =","None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None",":type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\"",":param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type","self.Comments = None self.SqlText = None self.Schema = None self.Tables","MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type","params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id:","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem = None","= None self.Host = None self.DB = None self.State =","are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self):","self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup",":param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。","InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list","str \"\"\" self.Threads = None self.SqlExecId = None self.RequestId =","= None self.TotalCount = None def _deserialize(self, params): self.IssueType =","= None self.IndexLength = None self.DataFree = None self.TotalLength =","DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type",":param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type",":type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric:","联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None self.Name =","SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId:","sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求","params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")",":type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param","params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\")","ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","\"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None","params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys())","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel):","str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名","任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回","柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list","class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for",":type Values: list of float \"\"\" self.Metric = None self.Unit","params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status","r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param","self.RequestId = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId","= params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in vars(self).items():","StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions:","= None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime =","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int","根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported = None","% \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value","str \"\"\" self.TotalCount = None self.Groups = None self.RequestId =",":type Id: int :param Name: 联系人姓名。 :type Name: str :param",":type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","= None self.SeriesData = None def _deserialize(self, params): self.TableName =",":param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None","线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str"],"string":"[\n \"MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for\",\n \":param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"__init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost:\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host\",\n \"self.ID = None self.User = None self.Host = None self.DB\",\n \"12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime:\",\n \"params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self):\",\n \"self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema\",\n \"\\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress = None\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计\",\n \"\\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId:\",\n \"\\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount:\",\n \"str :param InstanceId: 实例 ID 。 :type InstanceId: str :param\",\n \"ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation:\",\n \"str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime:\",\n \"- 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None\",\n \"self.Product = None self.Names = None def _deserialize(self, params): self.Product\",\n \"返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy:\",\n \"None self.Events = None self.TotalCount = None def _deserialize(self, params):\",\n \"for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime\",\n \"保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param\",\n \"AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit:\",\n \"DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus:\",\n \"int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。\",\n \"MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param\",\n \"of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore:\",\n \"of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"- 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" -\",\n \"= params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name,\",\n \"str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset:\",\n \"params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\")\",\n \"def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set\",\n \"InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region:\",\n \"class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params):\",\n \":type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None\",\n \"float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数\",\n \"License for the specific language governing permissions and # limitations\",\n \"高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" -\",\n \":type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported =\",\n \"params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"\\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of\",\n \"实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str\",\n \"list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime =\",\n \"not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj\",\n \"-*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent\",\n \"None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\")\",\n \"= params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg =\",\n \"Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int\",\n \"\\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem:\",\n \"int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str\",\n \"= params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type\",\n \"params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\")\",\n \"- 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param\",\n \"str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。\",\n \"int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。\",\n \"def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\"\",\n \"= None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg =\",\n \"= params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\")\",\n \":param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type\",\n \":param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type\",\n \":type Info: str \\\"\\\"\\\" self.ID = None self.User = None\",\n \"DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"OF ANY KIND, either express or implied. # See the\",\n \"list of str :param Regions: 根据地域条件查询。 :type Regions: list of\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list\",\n \"float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒\",\n \"= None self.EndTime = None self.RequestId = None def _deserialize(self,\",\n \"= params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax =\",\n \"\\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset = None\",\n \"of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName\",\n \"= None self.StartTime = None self.Suggestions = None self.Metric =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\"\",\n \"None self.SqlTemplate = None self.SqlText = None self.Schema = None\",\n \"= params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name,\",\n \"self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime\",\n \"params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\")\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period\",\n \"params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list\",\n \"self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory\",\n \"None self.Vport = None self.Source = None self.GroupId = None\",\n \":type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param\",\n \"params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime =\",\n \"ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type\",\n \"All Rights Reserved. # # Licensed under the Apache License,\",\n \"= params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan =\",\n \"class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。\",\n \"str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param\",\n \"def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables =\",\n \"self.Offset = None self.Limit = None self.Product = None def\",\n \"not use this file except in compliance with the License.\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体\",\n \"class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"__init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem\",\n \"\\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId:\",\n \"self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param\",\n \"None self.StartTime = None self.EndTime = None self.SortBy = None\",\n \"params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\")\",\n \"def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set\",\n \"list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int\",\n \"self.StartDate = None self.EndDate = None self.Product = None def\",\n \"EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName\",\n \"self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId\",\n \"self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime\",\n \"None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None\",\n \"CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type\",\n \"ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId\",\n \"SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体\",\n \"list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount =\",\n \"float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime =\",\n \"RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId = None\",\n \"RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime\",\n \"Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self):\",\n \"ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType =\",\n \"= None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self,\",\n \"params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys())\",\n \"of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId:\",\n \":param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product:\",\n \":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type\",\n \"AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" -\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection:\",\n \"None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\")\",\n \"Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType\",\n \"InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。\",\n \"self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \"self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength\",\n \"params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\")\",\n \"SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求\",\n \"self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength\",\n \"class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \":param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\")\",\n \"TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\")\",\n \"TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count:\",\n \":param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param\",\n \"self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId\",\n \"GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName:\",\n \"InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region:\",\n \":param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type\",\n \"params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not\",\n \"= params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost =\",\n \"云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def\",\n \"not None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。\",\n \"_deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set =\",\n \"self.EventId = None self.DiagType = None self.StartTime = None self.EndTime\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks =\",\n \"\\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType:\",\n \"for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount\",\n \"item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId =\",\n \"params.get(\\\"Events\\\") is not None: self.Events = [] for item in\",\n \"self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def\",\n \"self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str\",\n \":param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param\",\n \":param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10\",\n \"obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId =\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.ID = None self.User\",\n \"str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"= None self.Limit = None self.ProfileName = None def _deserialize(self,\",\n \"DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type\",\n \"\\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language:\",\n \"self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"\\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip = None\",\n \":type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema = None\",\n \"str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。\",\n \"发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str\",\n \":param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list\",\n \"params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \":type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param\",\n \"= None self.AvailableDays = None self.RequestId = None def _deserialize(self,\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \":param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。\",\n \"TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int\",\n \"params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of\",\n \":type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param\",\n \"if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set\",\n \"obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def\",\n \"健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\",\",\n \"= params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set =\",\n \"def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total\",\n \"= None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None:\",\n \"DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param\",\n \"params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in\",\n \"str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\"\",\n \"= params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime =\",\n \"EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID\",\n \"None self.Metric = None self.EndTime = None self.RequestId = None\",\n \"self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not\",\n \"- 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product:\",\n \"None self.TotalCount = None self.RequestId = None def _deserialize(self, params):\",\n \":param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type\",\n \"str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\"\",\n \"str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for\",\n \"= params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost =\",\n \"r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema =\",\n \"\\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries:\",\n \"日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1\",\n \"\\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type\",\n \"None self.Product = None self.EngineVersion = None def _deserialize(self, params):\",\n \"\\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema:\",\n \"\\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params):\",\n \":type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行；\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth =\",\n \"= params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit =\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups = [] for\",\n \"任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体\",\n \"\\\"\\\"\\\" self.Metric = None self.Unit = None self.Values = None\",\n \"= None self.InstanceNames = None self.InstanceIds = None self.Regions =\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str\",\n \":param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type\",\n \"self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \"self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set\",\n \"params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\")\",\n \"self.SortBy = None self.OrderBy = None self.Limit = None self.Offset\",\n \"null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\")\",\n \"float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数\",\n \"= None self.Offset = None self.Limit = None self.ProfileName =\",\n \"None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\")\",\n \"= params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume\",\n \"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\"\",\n \"implied. # See the License for the specific language governing\",\n \"params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \":param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type\",\n \"if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set\",\n \"self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData =\",\n \"实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type\",\n \"None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None\",\n \"QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio:\",\n \"params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value\",\n \"分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str\",\n \"AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str\",\n \"= params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str\",\n \"EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str\",\n \"= params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def\",\n \"self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in\",\n \"线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups =\",\n \"params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId\",\n \":param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type\",\n \"params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\")\",\n \"CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product =\",\n \"self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\"\",\n \"% \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.Product = None self.InstanceIds = None def _deserialize(self, params): if\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries\",\n \":type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int\",\n \"Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress:\",\n \"self.Severity = None self.StartTime = None self.Suggestions = None self.Metric\",\n \"= None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType =\",\n \":type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\"\",\n \"params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength =\",\n \"self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \":param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData:\",\n \"float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒\",\n \"= params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText =\",\n \"r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。\",\n \"TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength:\",\n \"实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type\",\n \"the specific language governing permissions and # limitations under the\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads:\",\n \"Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\"\",\n \"DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for item in\",\n \"Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB:\",\n \"params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\")\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。\",\n \"None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"= params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit =\",\n \"实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int\",\n \"= None self.UniqSubnetId = None self.DeployMode = None self.InitFlag =\",\n \"obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def\",\n \"self.StartTime = None self.EndTime = None self.CreateTime = None self.Status\",\n \"str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId =\",\n \"None self.InstanceIds = None self.Sources = None self.HealthLevels = None\",\n \":param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \":param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type\",\n \"__init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel:\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int\",\n \"= params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo =\",\n \"\\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo =\",\n \"Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为\",\n \"params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events =\",\n \"self.Events = [] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem()\",\n \"str \\\"\\\"\\\" self.Events = None self.RequestId = None def _deserialize(self,\",\n \"self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit\",\n \"SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str\",\n \"TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。\",\n \"self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo =\",\n \"params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\")\",\n \"= None self.ProfileName = None self.BindInstanceId = None self.Product =\",\n \"UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode:\",\n \"None self.Suggestions = None self.Metric = None self.EndTime = None\",\n \":type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize:\",\n \"RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin:\",\n \"class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。\",\n \"Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem:\",\n \":type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of\",\n \"实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\"\",\n \"params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Threads =\",\n \":type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel):\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson\",\n \"params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\")\",\n \"BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo =\",\n \"= None self.ScoreLost = None self.ScoreLostMax = None self.Items =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self):\",\n \"ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"\\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId\",\n \"实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName =\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"= params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"[] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj)\",\n \"self.Name = None self.Mail = None def _deserialize(self, params): self.Id\",\n \":type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param\",\n \"Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength:\",\n \"params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails\",\n \"12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\"\",\n \"self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId\",\n \"self.TableSchema = None self.Engine = None self.SeriesData = None def\",\n \"self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体\",\n \"self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set\",\n \"\\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series:\",\n \"str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。\",\n \"None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\")\",\n \":type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。\",\n \"params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\")\",\n \"RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain =\",\n \"for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp\",\n \":param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type\",\n \"- 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param\",\n \"params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\")\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\")\",\n \"云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds:\",\n \"def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param\",\n \"params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId\",\n \"params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys())\",\n \"= params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def\",\n \"= SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体\",\n \"str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage =\",\n \"None self.BindInstanceId = None self.Product = None def _deserialize(self, params):\",\n \":type Metric: str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\"\",\n \":param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\"\",\n \"= None self.StartTime = None self.EndTime = None self.Product =\",\n \"None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\")\",\n \"params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。\",\n \"\\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries:\",\n \"\\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql\",\n \"of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str\",\n \"self.Explanation = None self.Outline = None self.Problem = None self.Severity\",\n \"UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf:\",\n \"self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value\",\n \"= params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def\",\n \"= params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set =\",\n \"params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value\",\n \"item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\")\",\n \"严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str\",\n \"params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。\",\n \"params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"% \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId:\",\n \":param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId:\",\n \"\\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None\",\n \"= None self.EndTime = None self.SortBy = None self.OrderBy =\",\n \"int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime =\",\n \"QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg:\",\n \"params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\")\",\n \"self.InstanceId = None self.EventId = None self.Product = None def\",\n \":param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type\",\n \"None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None\",\n \"params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value\",\n \"list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param\",\n \":type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param\",\n \"str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product:\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId\",\n \":type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of\",\n \"。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName:\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage =\",\n \"self.Growth = None self.Remain = None self.Total = None self.AvailableDays\",\n \"params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"__init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events:\",\n \"r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param\",\n \"12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime:\",\n \"= None def _deserialize(self, params): if params.get(\\\"Series\\\") is not None:\",\n \"各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"= params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline =\",\n \"_deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = []\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\"\",\n \"Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str\",\n \"self.Source = None self.GroupId = None self.GroupName = None self.Status\",\n \":type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" -\",\n \"self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength\",\n \"= None self.Tables = None self.SqlPlan = None self.Cost =\",\n \"None self.Total = None self.AvailableDays = None self.RequestId = None\",\n \"None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\")\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体\",\n \"EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion:\",\n \"self.Volume = None self.EngineVersion = None self.Vip = None self.Vport\",\n \"params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\")\",\n \"Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。\",\n \"str \\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset =\",\n \"= None self.Progress = None self.CreateTime = None self.StartTime =\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \":param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param\",\n \"class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。\",\n \"ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type\",\n \"list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str\",\n \"Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param\",\n \"None self.Count = None self.ScoreLost = None def _deserialize(self, params):\",\n \"- 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self,\",\n \"Vip: str :param Vport: 内网端口。 :type Vport: int :param Source:\",\n \"a Tencent company. All Rights Reserved. # # Licensed under\",\n \"= params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None:\",\n \"Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str\",\n \"库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText =\",\n \"% \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.Region = None def _deserialize(self, params): self.DiagType =\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \":param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime:\",\n \"Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name:\",\n \"= params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows =\",\n \"self.Severity = None self.ScoreLost = None self.Metric = None self.Count\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas =\",\n \"Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set))\",\n \"= None self.EndTime = None self.Product = None self.DangerLevels =\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus:\",\n \"= None self.TaskStatuses = None self.Offset = None self.Limit =\",\n \":param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。\",\n \"self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio\",\n \"Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" -\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。\",\n \"开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type\",\n \"of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \":param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId =\",\n \"= params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set =\",\n \"self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime\",\n \"SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type\",\n \"self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds\",\n \"= None self.RequestId = None def _deserialize(self, params): self.TotalCount =\",\n \":type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param\",\n \"Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"if params.get(\\\"Groups\\\") is not None: self.Groups = [] for item\",\n \"= None self.EventCount = None self.InstanceType = None self.Cpu =\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product\",\n \":type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param\",\n \"self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset\",\n \"= params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set =\",\n \":type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None\",\n \"= None self.State = None self.Command = None self.Time =\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset\",\n \"= None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax =\",\n \"int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\")\",\n \"库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str\",\n \"None self.EngineVersion = None self.Vip = None self.Vport = None\",\n \"\\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \"Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:\",\n \"class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。\",\n \"QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent:\",\n \"SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param\",\n \"params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\")\",\n \"配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName:\",\n \":param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。\",\n \":param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type\",\n \"\\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None\",\n \"None self.Threads = None self.SqlExecId = None self.Product = None\",\n \":type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。\",\n \":param EventId: 事件 ID 。 :type EventId: int :param Explanation:\",\n \"None self.Product = None self.AsyncRequestIds = None self.Offset = None\",\n \"self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio\",\n \":param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\"\",\n \":param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type\",\n \"_deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo()\",\n \":param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str\",\n \"EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu:\",\n \":param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId\",\n \"None self.Limit = None self.SortBy = None self.StartDate = None\",\n \"LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def\",\n \":type Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int\",\n \"= None self.HealthStatus = None self.ContactPerson = None self.ContactGroup =\",\n \"None self.Volume = None self.EngineVersion = None self.Vip = None\",\n \"Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory:\",\n \":type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None\",\n \"Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion:\",\n \":param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param\",\n \":type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param\",\n \"Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int\",\n \"TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\"\",\n \"= None self.EngineVersion = None self.Vip = None self.Vport =\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId:\",\n \":type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int\",\n \"this file except in compliance with the License. # You\",\n \"ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。\",\n \"返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。\",\n \"params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys())\",\n \"of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"__init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo:\",\n \"self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin\",\n \"SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \":type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of\",\n \":param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type\",\n \"配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str\",\n \":type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\"\",\n \"self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set\",\n \"THL A29 Limited, a Tencent company. All Rights Reserved. #\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None\",\n \"DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength:\",\n \"Host: str :param DB: 线程的操作数据库。 :type DB: str :param State:\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set\",\n \":type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int\",\n \"str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。\",\n \"EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for\",\n \"self.ProfileList = None self.TotalCount = None self.RequestId = None def\",\n \"self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio\",\n \"= params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength =\",\n \"RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId = None def\",\n \"= params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes =\",\n \"None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None\",\n \"None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\")\",\n \"self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads\",\n \"ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。\",\n \"params): if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for\",\n \"self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if\",\n \"DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State:\",\n \"class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件\",\n \"RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId = None def\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage\",\n \":type Metric: str :param Region: 地域。 :type Region: str \\\"\\\"\\\"\",\n \"params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置\",\n \"Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names:\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time\",\n \":type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体\",\n \"\\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId\",\n \"None: self.Series = [] for item in params.get(\\\"Series\\\"): obj =\",\n \"InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\"\",\n \"__init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param\",\n \"= None self.Product = None self.BindInstanceIds = None def _deserialize(self,\",\n \"r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\"\",\n \"= params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = []\",\n \":param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type\",\n \"self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime:\",\n \"str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language =\",\n \"self.Product = None self.Offset = None self.Limit = None self.InstanceNames\",\n \"None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\")\",\n \"self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId\",\n \":param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" -\",\n \"__init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries:\",\n \"筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate:\",\n \"self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is\",\n \"str :param EventId: 事件 ID 。 :type EventId: int :param\",\n \"self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product\",\n \":param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type\",\n \"self.Id = None self.RequestId = None def _deserialize(self, params): self.Id\",\n \"= GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体\",\n \"None self.Remain = None self.Total = None self.AvailableDays = None\",\n \":param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param\",\n \"InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId:\",\n \"self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries()\",\n \"None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs\",\n \"self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set\",\n \"\\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables:\",\n \":param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail\",\n \":type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus:\",\n \"self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list\",\n \"= None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId =\",\n \"None self.Offset = None self.Limit = None self.InstanceNames = None\",\n \"params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\")\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId\",\n \"库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData`\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product\",\n \"str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括：\",\n \"params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount:\",\n \"str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。\",\n \"self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体\",\n \"= None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection =\",\n \"= params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region =\",\n \"str \\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText =\",\n \"params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\")\",\n \":type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str\",\n \":param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None\",\n \"params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"\\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId = None\",\n \"int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\")\",\n \"= params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\")\",\n \"def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5\",\n \"= params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product =\",\n \"是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes:\",\n \"SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param\",\n \":class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId =\",\n \"DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State:\",\n \"= None self.IssueType = None self.TopSeverity = None self.Count =\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions =\",\n \":type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param\",\n \":param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type\",\n \"self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list\",\n \"self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus\",\n \"Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem:\",\n \"None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\")\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体\",\n \":param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType:\",\n \"{instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" -\",\n \"def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset\",\n \"not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product\",\n \"is not None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"):\",\n \"self.InstanceId = None self.Limit = None self.SortBy = None self.Product\",\n \"of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int\",\n \"params.get(\\\"Items\\\") is not None: self.Items = [] for item in\",\n \"in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\"))\",\n \"params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration\",\n \"ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail\",\n \"Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline\",\n \":class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def _deserialize(self,\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy =\",\n \"= params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline =\",\n \"\\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params):\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type\",\n \"% \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" -\",\n \"\\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period:\",\n \"__init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData:\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore =\",\n \"HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress\",\n \":param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None\",\n \"SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str\",\n \"= None self.Severity = None self.StartTime = None self.Suggestions =\",\n \"= params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime =\",\n \"str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels:\",\n \"if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions\",\n \"TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost\",\n \"StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def\",\n \"AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product:\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in\",\n \"int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。\",\n \"params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\")\",\n \"12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list\",\n \"self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses\",\n \"TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf:\",\n \"r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志\",\n \"InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int\",\n \"str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema =\",\n \"params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId\",\n \"= None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost =\",\n \"开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused：\",\n \"= params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product =\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity =\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not\",\n \"str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。\",\n \"实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int\",\n \"None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows\",\n \"def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel):\",\n \":type SqlText: str :param Schema: 库名。 :type Schema: str :param\",\n \":type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param\",\n \"LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax:\",\n \"self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for\",\n \"params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\")\",\n \"TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int\",\n \"r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source:\",\n \"self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows\",\n \"StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime:\",\n \"StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。\",\n \"of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName:\",\n \"查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \":param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回\",\n \"obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None:\",\n \"\\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId:\",\n \"self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId\",\n \"= None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime =\",\n \":type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param\",\n \"is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位%\",\n \"sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str\",\n \"Timestamp: list of int \\\"\\\"\\\" self.Series = None self.Timestamp =\",\n \"= None self.RequestId = None def _deserialize(self, params): self.DiagItem =\",\n \":param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail\",\n \"= None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel =\",\n \"= params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress =\",\n \"None self.Command = None self.Time = None self.Info = None\",\n \"= params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo()\",\n \"params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys())\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree:\",\n \"params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体\",\n \"[] for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj)\",\n \"StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param\",\n \"TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \":type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param\",\n \"= None self.InitFlag = None self.TaskStatus = None self.UniqVpcId =\",\n \"\\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem:\",\n \"= None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo =\",\n \"\\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None\",\n \"= None self.Names = None def _deserialize(self, params): self.Product =\",\n \"self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus\",\n \"= None self.TotalSize = None self.DangerLevels = None def _deserialize(self,\",\n \"= None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate =\",\n \"params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\")\",\n \":param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括：\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not\",\n \"\\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count:\",\n \"self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList\",\n \"= params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set =\",\n \"= params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float\",\n \"\\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type\",\n \"self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName\",\n \"None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\")\",\n \"任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list\",\n \"is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\")\",\n \"None: self.Items = [] for item in params.get(\\\"Items\\\"): obj =\",\n \"DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。\",\n \"__init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param Timestamp:\",\n \"RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime:\",\n \":type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param\",\n \"EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。\",\n \"数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay:\",\n \"self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus\",\n \":param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type\",\n \"_deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = []\",\n \"Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline:\",\n \"str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。\",\n \"self.Product = None self.EventCount = None self.InstanceType = None self.Cpu\",\n \"list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param\",\n \"实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is\",\n \":type SqlText: str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\"\",\n \"组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name =\",\n \"TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows:\",\n \"def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\"\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables =\",\n \"索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def\",\n \"__init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product:\",\n \"self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\")\",\n \":param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type\",\n \"QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin:\",\n \"None self.Comments = None self.SqlText = None self.Schema = None\",\n \"= params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem =\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None:\",\n \"ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\")\",\n \"__init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str\",\n \"\\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount\",\n \"实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName:\",\n \":type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param\",\n \"r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。\",\n \"HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount:\",\n \"writing, software # distributed under the License is distributed on\",\n \"is not None: self.Groups = [] for item in params.get(\\\"Groups\\\"):\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is\",\n \"= params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"not None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj\",\n \"= params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name,\",\n \"params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count\",\n \"params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore\",\n \"params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value\",\n \"InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions =\",\n \"BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel =\",\n \"not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate\",\n \"None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj =\",\n \"params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo:\",\n \"None self.SqlPlan = None self.Cost = None self.RequestId = None\",\n \"数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self,\",\n \"GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId:\",\n \"= None self.LogStartTime = None self.LogEndTime = None self.TotalSize =\",\n \"self.ScoreLost = None self.ScoreLostMax = None self.Items = None def\",\n \"None self.Product = None self.InstanceIds = None def _deserialize(self, params):\",\n \"InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId\",\n \"ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax =\",\n \"= params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \":param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type\",\n \"None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None\",\n \"= None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax =\",\n \"self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\"))\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\"\",\n \"None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\")\",\n \"params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= None self.Outline = None self.Problem = None self.Severity =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId:\",\n \"安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。\",\n \"self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if\",\n \"= params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax =\",\n \"HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of\",\n \"任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema\",\n \"= None self.Contacts = None self.RequestId = None def _deserialize(self,\",\n \"self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails =\",\n \":type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\"\",\n \":type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp:\",\n \"= params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume =\",\n \"UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume:\",\n \"TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"str \\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData =\",\n \":type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\"\",\n \"params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType:\",\n \"params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for item in\",\n \"None self.GroupId = None self.GroupName = None self.Status = None\",\n \"None self.Progress = None self.LogStartTime = None self.LogEndTime = None\",\n \"list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\"\",\n \"根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type\",\n \"params): if params.get(\\\"Events\\\") is not None: self.Events = [] for\",\n \"self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus\",\n \"健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param\",\n \":param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str\",\n \":param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type\",\n \"\\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText = None\",\n \"in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list\",\n \"= params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"\\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes:\",\n \"EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore:\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None\",\n \"self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def\",\n \"Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None def\",\n \"self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in\",\n \"is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys())\",\n \"params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\"))\",\n \"None self.SqlText = None self.Schema = None self.Tables = None\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param\",\n \"诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore\",\n \"def _deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data =\",\n \"params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode:\",\n \"self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId\",\n \"= None self.MemberCount = None def _deserialize(self, params): self.Id =\",\n \"Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str\",\n \"= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product =\",\n \"GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type\",\n \"None self.Outline = None self.Severity = None self.ScoreLost = None\",\n \":type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp:\",\n \"\\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId = None\",\n \"params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\")\",\n \":param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type\",\n \"self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType\",\n \"\\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product = None\",\n \"self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize\",\n \"self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId\",\n \"params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set\",\n \"def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\"\",\n \"DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type\",\n \"Rights Reserved. # # Licensed under the Apache License, Version\",\n \"None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\")\",\n \"def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of\",\n \"WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。\",\n \"if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for item\",\n \"\\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema = None\",\n \"r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。\",\n \"and # limitations under the License. import warnings from tencentcloud.common.abstract_model\",\n \":type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries = None\",\n \"= None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType =\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks =\",\n \"in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are\",\n \"= [] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item)\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def\",\n \"SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。\",\n \"% \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\")\",\n \":param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\")\",\n \"实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" -\",\n \"= params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def\",\n \"= None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel =\",\n \":param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items:\",\n \"= None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self,\",\n \":type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param\",\n \"事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status =\",\n \"None self.SqlExecId = None self.RequestId = None def _deserialize(self, params):\",\n \"self.Id = None self.Name = None self.MemberCount = None def\",\n \"__init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId: int\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\")\",\n \"= None self.Events = None self.TotalCount = None def _deserialize(self,\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product =\",\n \"= None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType =\",\n \"EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体\",\n \"% \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \"_deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId =\",\n \"Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName:\",\n \"= params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def\",\n \"self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time\",\n \"EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \":type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param\",\n \"安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type\",\n \"SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate:\",\n \"self.ProfileType = None self.Product = None self.BindInstanceIds = None def\",\n \"云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。\",\n \"= params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\")\",\n \"= params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items = []\",\n \"Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds:\",\n \"__init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str\",\n \":type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\"\",\n \"= params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\")\",\n \"= SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product:\",\n \"配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str\",\n \"str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId =\",\n \"None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\")\",\n \"for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql\",\n \"= params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"= DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体\",\n \"Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product:\",\n \"StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。\",\n \"list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is\",\n \"not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。\",\n \"params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value\",\n \"异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str\",\n \"= None self.StartTime = None self.EndTime = None self.SendMailFlag =\",\n \"self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema\",\n \"def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\"\",\n \"self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize\",\n \"\\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks:\",\n \"2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved.\",\n \"= None self.DiagType = None self.EventId = None self.Explanation =\",\n \"str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product:\",\n \"% \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值\",\n \"str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin =\",\n \"self.DB = None self.State = None self.Command = None self.Time\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy\",\n \"= params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name\",\n \"params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"[] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj)\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"if params.get(\\\"Rows\\\") is not None: self.Rows = [] for item\",\n \"params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys())\",\n \"TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength:\",\n \"Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total:\",\n \"ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type\",\n \"最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int\",\n \"SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求\",\n \"Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product =\",\n \"None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\")\",\n \"params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \":param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type\",\n \"self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product\",\n \"ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str\",\n \"\\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"\\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth:\",\n \"self.EndTime = None self.Product = None self.DangerLevels = None def\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage = None\",\n \"is not None: self.Events = [] for item in params.get(\\\"Events\\\"):\",\n \":type EndTime: str :param Outline: 概要。 :type Outline: str :param\",\n \"r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param\",\n \"null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength =\",\n \"= None self.OrderBy = None self.Limit = None self.Offset =\",\n \"DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type\",\n \"LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin:\",\n \"self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId\",\n \":type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp:\",\n \"self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items =\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in\",\n \"r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType:\",\n \"str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10\",\n \"\\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset = None\",\n \"for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId\",\n \"self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId\",\n \"self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp\",\n \"def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count\",\n \":param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\")\",\n \"实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime:\",\n \":type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param\",\n \"分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int\",\n \"either express or implied. # See the License for the\",\n \":param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。\",\n \":param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels:\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= None self.Status = None self.Progress = None self.LogStartTime =\",\n \"= None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg =\",\n \"= params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State =\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is\",\n \"AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product:\",\n \"is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\")\",\n \"self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks = []\",\n \"= None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\")\",\n \"= None self.Vip = None self.Vport = None self.Source =\",\n \"ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。\",\n \"TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize:\",\n \"self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in\",\n \":param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type\",\n \"SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括：\",\n \"self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime\",\n \"params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\")\",\n \"None self.Values = None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\")\",\n \"params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\")\",\n \"def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText\",\n \"params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId =\",\n \":param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None\",\n \"筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括：\",\n \"\\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None\",\n \"Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product:\",\n \"self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel):\",\n \"RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin:\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。\",\n \"_deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo()\",\n \"配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" -\",\n \"params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。\",\n \"利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。\",\n \"健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" -\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId\",\n \":type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\"\",\n \"DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type\",\n \"list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"self.RequestId = None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if\",\n \"self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType\",\n \"= params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup =\",\n \"self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList\",\n \"self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows\",\n \"= MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads:\",\n \"self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime\",\n \"= params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name,\",\n \"SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate:\",\n \"= [] for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item)\",\n \":type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。\",\n \"is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"):\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time:\",\n \"None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\")\",\n \"Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions:\",\n \":param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type\",\n \"RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID，\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None:\",\n \"self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo()\",\n \"if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for item\",\n \"Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type\",\n \":param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions:\",\n \"ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType:\",\n \"obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel):\",\n \"of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int\",\n \"DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type\",\n \"top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId:\",\n \"use this file except in compliance with the License. #\",\n \"None self.Product = None self.EventCount = None self.InstanceType = None\",\n \"SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\"\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self):\",\n \":param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type\",\n \"ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type\",\n \"\\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost:\",\n \"Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\"\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\"\",\n \"str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \":param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status:\",\n \"表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema =\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem =\",\n \":type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName:\",\n \"item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount =\",\n \":type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param\",\n \":param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo\",\n \":type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。\",\n \"\\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType:\",\n \"Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list\",\n \":param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel):\",\n \"self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\"\",\n \"偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list\",\n \"Limited, a Tencent company. All Rights Reserved. # # Licensed\",\n \"查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type\",\n \"线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str\",\n \":type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups =\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set\",\n \"= params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value\",\n \"self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName\",\n \"% \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline\",\n \"Names: list of str \\\"\\\"\\\" self.Product = None self.Names =\",\n \"params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\")\",\n \"InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list\",\n \"None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None\",\n \"DiagType: str :param EventId: 事件 ID 。 :type EventId: int\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\")\",\n \"params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value\",\n \"self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \":param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type\",\n \"self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit\",\n \"params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\")\",\n \"DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"= None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId =\",\n \"Metric: str :param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status\",\n \"self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize\",\n \"手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int\",\n \":param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括：\",\n \"\\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId:\",\n \"self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for\",\n \"= None self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\")\",\n \"Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None self.User\",\n \"。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime:\",\n \":param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId:\",\n \"class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称\",\n \"params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys())\",\n \"% \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list\",\n \"= [] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item)\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime\",\n \"params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\")\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def\",\n \"行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float\",\n \"int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param\",\n \"params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\")\",\n \"AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region\",\n \"Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport:\",\n \"None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\")\",\n \"Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list\",\n \":type IssueType: str :param Events: 异常事件。 :type Events: list of\",\n \"执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求\",\n \"for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set\",\n \"Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info:\",\n \"class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId =\",\n \"Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count:\",\n \"CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此\",\n \"SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport:\",\n \"硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None\",\n \"vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0:\",\n \"None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product:\",\n \"if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for item\",\n \"Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays:\",\n \"= params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime\",\n \"None self.Outline = None self.Problem = None self.Severity = None\",\n \"self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag\",\n \"None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj =\",\n \"int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机）\",\n \"= params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product =\",\n \":param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo:\",\n \"None self.Rows = None self.RequestId = None def _deserialize(self, params):\",\n \":type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str\",\n \"= None self.TimeSeries = None self.SeriesData = None self.RequestId =\",\n \"__init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int\",\n \"= params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\")\",\n \"None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\")\",\n \"params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel\",\n \"class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关,\",\n \"\\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\"\",\n \":type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self):\",\n \"__init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId:\",\n \"self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value\",\n \"= params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set =\",\n \"class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求\",\n \"MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type\",\n \"_deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product =\",\n \"= None self.Metric = None self.EndTime = None self.RequestId =\",\n \":type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\"\",\n \"= None self.Product = None def _deserialize(self, params): self.StartTime =\",\n \"None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None\",\n \"None self.HealthScore = None self.Product = None self.EventCount = None\",\n \"params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\")\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体\",\n \"MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3\",\n \":param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type\",\n \"str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。\",\n \"\\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType:\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items =\",\n \"params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events = [] for\",\n \"params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\")\",\n \"ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel:\",\n \"self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorMetric()\",\n \"class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。\",\n \"无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of\",\n \"SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def\",\n \"= None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel):\",\n \"\\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks:\",\n \"联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def\",\n \"= MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys())\",\n \"str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int\",\n \"params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\"))\",\n \"None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries\",\n \"item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount =\",\n \"None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \":type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"-\",\n \"None self.Source = None self.Progress = None self.CreateTime = None\",\n \"params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name,\",\n \"TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts\",\n \"= None self.RangeDays = None self.Product = None def _deserialize(self,\",\n \"= params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus =\",\n \"= None self.DB = None self.State = None self.Command =\",\n \"InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip:\",\n \"self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport\",\n \"None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\")\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。\",\n \":param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type\",\n \"None self.SortBy = None self.StartDate = None self.EndDate = None\",\n \"float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。\",\n \"of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None\",\n \"__init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param Unit:\",\n \"None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\")\",\n \"None self.SqlText = None self.Schema = None def _deserialize(self, params):\",\n \"self.Names = None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel):\",\n \"self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess()\",\n \":param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"1, 是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。\",\n \"None self.Unit = None self.Values = None def _deserialize(self, params):\",\n \"ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回\",\n \":type ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None self.Region\",\n \"self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set\",\n \"StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str\",\n \"UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime:\",\n \"None self.Product = None self.BindInstanceIds = None def _deserialize(self, params):\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int\",\n \"= params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel):\",\n \":param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type\",\n \"params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\")\",\n \"Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int\",\n \"str \\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product =\",\n \"统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp =\",\n \"def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of\",\n \"ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime:\",\n \"int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒\",\n \"= None self.AsyncRequestIds = None self.Offset = None self.Limit =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str\",\n \":param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type\",\n \"params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product:\",\n \"self.InstanceId = None self.RangeDays = None self.Product = None def\",\n \"= params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\")\",\n \"self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate\",\n \":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体\",\n \"= None self.ContactInfo = None self.Product = None def _deserialize(self,\",\n \"= params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize =\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric:\",\n \"MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"None self.StartTime = None self.EndTime = None self.CreateTime = None\",\n \"def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress\",\n \"None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId =\",\n \"__init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type\",\n \"分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str\",\n \"None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel):\",\n \"self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag\",\n \":param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str\",\n \":type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\")\",\n \"self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup\",\n \"StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate:\",\n \"HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param\",\n \"DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type\",\n \"StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param\",\n \"DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId\",\n \"中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId =\",\n \"self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set\",\n \"MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate:\",\n \"list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param\",\n \"int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。\",\n \"Mail: str \\\"\\\"\\\" self.Id = None self.Name = None self.Mail\",\n \"in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"= params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。\",\n \"MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel):\",\n \"self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for\",\n \":type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \":param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type\",\n \"None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\")\",\n \"self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo =\",\n \"params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\")\",\n \"not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for\",\n \"TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"SqlText: str :param Schema: 库名。 :type Schema: str :param Tables:\",\n \"Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys())\",\n \"实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str\",\n \"params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime:\",\n \":type Severity: int :param StartTime: 开始时间 :type StartTime: str :param\",\n \"ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays:\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type\",\n \"self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set\",\n \"HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type\",\n \"self.InstanceId = None self.Metric = None self.Region = None def\",\n \":type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param\",\n \"MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\"\",\n \"= params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"\\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None\",\n \":type CreateTime: str :param Status: 任务状态。 :type Status: str :param\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks\",\n \"EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport\",\n \"IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel\",\n \"待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses:\",\n \"RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin:\",\n \":param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem\",\n \"接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str\",\n \"Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio:\",\n \"params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id:\",\n \"UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag:\",\n \"带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str\",\n \":type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None\",\n \":type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo:\",\n \"None self.Severity = None self.ScoreLost = None self.Metric = None\",\n \"params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events\",\n \"= None self.HealthScore = None self.Product = None self.EventCount =\",\n \":param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括：\",\n \"params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\")\",\n \"params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\")\",\n \":param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type\",\n \"保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int\",\n \"数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float\",\n \":param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is\",\n \"self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType\",\n \"开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId:\",\n \":param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\"\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\")\",\n \"params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for item in\",\n \"= params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\")\",\n \"class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回\",\n \"None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None\",\n \"诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str\",\n \"class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。\",\n \"not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for\",\n \"= params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime =\",\n \":type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None\",\n \"class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求\",\n \":param Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported\",\n \"DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type\",\n \"Tencent company. All Rights Reserved. # # Licensed under the\",\n \"Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\"\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\"\",\n \"ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in\",\n \"分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list\",\n \"None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\")\",\n \"obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name,\",\n \"Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads =\",\n \"# You may obtain a copy of the License at\",\n \"\\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5:\",\n \"params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\")\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self):\",\n \":param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema\",\n \"self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5\",\n \"__init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric\",\n \"str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not\",\n \"= TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int\",\n \"__init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime:\",\n \"int \\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count =\",\n \"in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \":type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param\",\n \"self.Advices = None self.Comments = None self.SqlText = None self.Schema\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self):\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\"\",\n \"DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type\",\n \"r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId: int :param\",\n \"self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost\",\n \":param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回\",\n \"Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId\",\n \"扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType =\",\n \"self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength\",\n \"None self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\") is\",\n \"self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\"\",\n \"数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\"\",\n \"= None self.Vip = None self.Vport = None self.Product =\",\n \"\\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost:\",\n \":param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type\",\n \"class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒\",\n \"云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId =\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not\",\n \"params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"\\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\"\",\n \"str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位%\",\n \":type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str\",\n \"HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type\",\n \"ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"self.Outline = None self.Severity = None self.ScoreLost = None self.Metric\",\n \"= params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation =\",\n \"self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int\",\n \"执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset:\",\n \"params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for\",\n \"\\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName:\",\n \":param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。\",\n \"self.InstanceId = None self.SqlText = None self.Schema = None def\",\n \":param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime:\",\n \":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11\",\n \"\\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"% \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag:\",\n \"01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。\",\n \":param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId:\",\n \"需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time:\",\n \"= None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength =\",\n \"\\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName:\",\n \"= params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost =\",\n \"str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName =\",\n \"\\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None\",\n \"self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime\",\n \":type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param\",\n \"健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\")\",\n \":param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp:\",\n \"= None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None:\",\n \"2.0 (the \\\"License\\\"); # you may not use this file\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息\",\n \"self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type\",\n \"params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\")\",\n \"None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params):\",\n \"任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows =\",\n \"RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId = None def\",\n \"= [] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item)\",\n \":param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type\",\n \"RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin:\",\n \"= None self.SortBy = None self.StartDate = None self.EndDate =\",\n \"self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \":param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None\",\n \"r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param\",\n \"self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value\",\n \"Id: 组id。 :type Id: int :param Name: 组名称。 :type Name:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def\",\n \"self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent\",\n \"Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series =\",\n \"r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param\",\n \"最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float\",\n \"self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" -\",\n \"self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName\",\n \":param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type\",\n \"根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type\",\n \"= params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set =\",\n \"self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def\",\n \"params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"\\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type\",\n \"SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime =\",\n \"DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"= params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name,\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list\",\n \"风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list\",\n \"中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative\",\n \"int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" -\",\n \"StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。\",\n \"= HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"_deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None:\",\n \"+ {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId:\",\n \"params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\")\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.ReportUrl = None self.ExpireTime = None self.RequestId = None def\",\n \"params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list\",\n \"self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"= params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\")\",\n \"def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param\",\n \"self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set\",\n \"None self.Vip = None self.Vport = None self.Source = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体\",\n \"组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData()\",\n \":type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param\",\n \"r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson =\",\n \":type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param\",\n \"\\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events:\",\n \":type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\"\",\n \"self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime\",\n \"= params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \"MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list\",\n \"= params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.DiagItem = None self.InstanceId = None self.Metric = None self.Region\",\n \"obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel):\",\n \"class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。\",\n \"params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set =\",\n \"params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\")\",\n \"= params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product =\",\n \"= params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses =\",\n \"int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。\",\n \"self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not\",\n \"See the License for the specific language governing permissions and\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time =\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId = None\",\n \"self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity\",\n \"to in writing, software # distributed under the License is\",\n \"params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None\",\n \"HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\"\",\n \"RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime:\",\n \"= None self.TableSchema = None self.Engine = None self.DataLength =\",\n \"class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。\",\n \"None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params):\",\n \"params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product =\",\n \"HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \":type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\")\",\n \"compliance with the License. # You may obtain a copy\",\n \"None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\")\",\n \"_deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress =\",\n \":type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions\",\n \"list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。\",\n \":type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for\",\n \"StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag:\",\n \":type DiagType: str :param EventId: 事件 ID 。 :type EventId:\",\n \"= params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product =\",\n \"[] for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj)\",\n \"self.Host = None self.DB = None self.State = None self.Command\",\n \"实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int\",\n \"Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param\",\n \"库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float\",\n \"指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str\",\n \"\\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None\",\n \"str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int\",\n \"if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if\",\n \"params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\")\",\n \"self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId\",\n \"self.SortBy = None self.StartDate = None self.EndDate = None self.Product\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\"\",\n \"= None self.Region = None self.HealthStatus = None self.ContactPerson =\",\n \"int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param\",\n \"= None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel):\",\n \"Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg:\",\n \"None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\")\",\n \"int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit:\",\n \"str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime:\",\n \"self.Stage = None self.Threads = None self.SqlExecId = None self.Product\",\n \":param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。\",\n \"self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId =\",\n \":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\"\",\n \"SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax =\",\n \"obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set =\",\n \"self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit\",\n \"\\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId:\",\n \"= None self.SchemaList = None self.Product = None def _deserialize(self,\",\n \"Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count:\",\n \"= params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax =\",\n \"None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params):\",\n \"r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。\",\n \"params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"= params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity =\",\n \"Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\"\",\n \":param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。\",\n \"CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\"\",\n \"Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int\",\n \"str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。\",\n \"None self.SortBy = None self.OrderBy = None self.Limit = None\",\n \"item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId =\",\n \"params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\")\",\n \"self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not\",\n \"def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回\",\n \"r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param Name: 组名称。\",\n \":type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param\",\n \"DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio:\",\n \"= None self.EventId = None self.Severity = None self.Outline =\",\n \"self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation\",\n \"None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj =\",\n \"None self.HealthLevels = None self.TaskStatuses = None self.Offset = None\",\n \"DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items:\",\n \"not None: self.Series = [] for item in params.get(\\\"Series\\\"): obj\",\n \"\\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime:\",\n \"\\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。\",\n \"Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId:\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows = [] for\",\n \"None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks\",\n \"r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28\",\n \"None self.EndTime = None self.Outline = None self.Severity = None\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels\",\n \"Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset:\",\n \"None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None\",\n \"self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode\",\n \"params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\")\",\n \"params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys())\",\n \"= params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin =\",\n \"TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求\",\n \"= params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames =\",\n \"params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\")\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\"\",\n \"Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength:\",\n \"not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId\",\n \"in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\")\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def\",\n \"% \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.GroupName = None self.Status = None self.UniqSubnetId =\",\n \"def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not\",\n \"int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime\",\n \"DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。\",\n \"= InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds\",\n \":type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus =\",\n \"None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus:\",\n \"None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\")\",\n \"= None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self,\",\n \"邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" -\",\n \":type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None\",\n \"InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product:\",\n \"= params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def\",\n \"def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of\",\n \"= params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo()\",\n \"def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str\",\n \"None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params):\",\n \"IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int\",\n \":type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount:\",\n \":type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None\",\n \"self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg\",\n \"= params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体\",\n \"联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail =\",\n \"= SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体\",\n \"Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str\",\n \"self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels\",\n \"\\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"% \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.Cpu = None self.Memory = None self.Volume =\",\n \"self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\") is not\",\n \"None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\")\",\n \"= None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\")\",\n \"MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId =\",\n \"obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def\",\n \"12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"KIND, either express or implied. # See the License for\",\n \"def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param\",\n \"self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails\",\n \":type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param\",\n \"str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param\",\n \"% \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type\",\n \"self.IssueType = None self.Events = None self.TotalCount = None def\",\n \"None self.EndTime = None self.InstanceIds = None self.Sources = None\",\n \"Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit:\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength\",\n \"MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups:\",\n \"(the \\\"License\\\"); # you may not use this file except\",\n \"if params.get(\\\"Events\\\") is not None: self.Events = [] for item\",\n \":type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type\",\n \"返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\"\",\n \"TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData =\",\n \"\\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params):\",\n \"\\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None\",\n \"Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。\",\n \"str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。\",\n \":type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\"\",\n \"# # Unless required by applicable law or agreed to\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type\",\n \"= None self.InstanceIds = None self.Sources = None self.HealthLevels =\",\n \"= params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.Schema = None def _deserialize(self, params): self.InstanceId =\",\n \"params): if params.get(\\\"Series\\\") is not None: self.Series = [] for\",\n \"self.Region = None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime\",\n \"= None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin =\",\n \"Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration =\",\n \"of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product:\",\n \":type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param\",\n \"\\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series:\",\n \"= [] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item)\",\n \"= None self.Mail = None def _deserialize(self, params): self.Id =\",\n \"self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value\",\n \"int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param\",\n \":type Timestamp: list of int \\\"\\\"\\\" self.Series = None self.Timestamp\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。\",\n \":type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type\",\n \"Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。\",\n \"监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series = None\",\n \"\\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data:\",\n \"not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not\",\n \"= [] for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item)\",\n \"str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。\",\n \"来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float\",\n \"ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str\",\n \"params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\")\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \"= params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel):\",\n \"= params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels =\",\n \"= None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined =\",\n \"_deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \":param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if\",\n \"params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId:\",\n \"服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for\",\n \"= None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes =\",\n \":type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId = None\",\n \":type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric:\",\n \"= None self.Product = None def _deserialize(self, params): self.WeekConfiguration =\",\n \"LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\"\",\n \"is not None: self.Items = [] for item in params.get(\\\"Items\\\"):\",\n \"= params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId =\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries\",\n \"params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\")\",\n \"= None self.SqlText = None self.Schema = None def _deserialize(self,\",\n \"= None self.AsyncRequestIds = None self.Product = None def _deserialize(self,\",\n \"= None self.EngineVersion = None def _deserialize(self, params): self.InstanceId =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\"\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product:\",\n \"self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId\",\n \"self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def\",\n \":type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None\",\n \"\\\"\\\"\\\" self.Urls = None self.RequestId = None def _deserialize(self, params):\",\n \":param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param\",\n \"self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求\",\n \"self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for item in\",\n \"任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int\",\n \":type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy:\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件\",\n \"RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param\",\n \"= None self.ProfileName = None self.ProfileInfo = None def _deserialize(self,\",\n \"self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds\",\n \":param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \":type Source: str :param GroupId: 分组ID。 :type GroupId: str :param\",\n \"Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def\",\n \":type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param\",\n \"任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str\",\n \"params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set\",\n \"params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list\",\n \":param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel):\",\n \"__init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries\",\n \"= params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。\",\n \"params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item in\",\n \"if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for item\",\n \"_deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId =\",\n \"def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel):\",\n \"self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime\",\n \":param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None\",\n \"self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson\",\n \"self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus\",\n \"= None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId =\",\n \"obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel):\",\n \"params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self):\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source:\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product:\",\n \"EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType =\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items\",\n \"self.EndTime = None self.StartTime = None self.EventId = None self.Severity\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str\",\n \"Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp:\",\n \":param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type\",\n \"\\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"= params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product =\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime\",\n \"def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param\",\n \"non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product:\",\n \"= params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId =\",\n \"= None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\")\",\n \"= params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \":type Vport: int :param Product: 实例产品。 :type Product: str :param\",\n \"= None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema =\",\n \"params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime:\",\n \"EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type\",\n \"self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in\",\n \"\\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration:\",\n \"\\\"\\\"\\\" self.ProcessList = None self.RequestId = None def _deserialize(self, params):\",\n \"Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan:\",\n \"int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds =\",\n \"\\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem:\",\n \"= params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit =\",\n \"分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int\",\n \"self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel):\",\n \"params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\")\",\n \"SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine\",\n \":param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile()\",\n \"non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。\",\n \"class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\"\",\n \"= params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"= params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime =\",\n \"DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type\",\n \"该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio =\",\n \"None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None\",\n \"- 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel):\",\n \"str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName =\",\n \"self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if\",\n \"params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not\",\n \"of float \\\"\\\"\\\" self.Metric = None self.Unit = None self.Values\",\n \"ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId:\",\n \"str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param\",\n \"保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type\",\n \"StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime:\",\n \"for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId\",\n \"\\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType:\",\n \"of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\"\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\"\",\n \"ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None self.Region =\",\n \"Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体\",\n \"返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。\",\n \"= None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg =\",\n \"Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time:\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId =\",\n \"ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type\",\n \"self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set\",\n \"Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel):\",\n \"params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for\",\n \"_deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity =\",\n \"None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status:\",\n \"= params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport =\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth\",\n \"class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传\",\n \"self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for\",\n \"self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount\",\n \"str \\\"\\\"\\\" self.Id = None self.Name = None self.Mail =\",\n \"in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys())\",\n \"DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"\\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices:\",\n \"r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of\",\n \":type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param\",\n \"if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for item\",\n \"None self.StartTime = None self.EndTime = None self.SendMailFlag = None\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is\",\n \"% \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type\",\n \"TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求\",\n \"self.Info = None self.Limit = None self.Product = None def\",\n \"\\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema:\",\n \":type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\"\",\n \":type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param\",\n \"str \\\"\\\"\\\" self.Data = None self.RequestId = None def _deserialize(self,\",\n \"DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \"= None self.InstanceIds = None self.Regions = None def _deserialize(self,\",\n \"def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\")\",\n \"self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore\",\n \"params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"= None self.Schema = None self.Tables = None self.SqlPlan =\",\n \"EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip\",\n \":param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值\",\n \"of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData`\",\n \":param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF：\",\n \"DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type\",\n \"list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None\",\n \"StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。\",\n \"self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in\",\n \"\\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product = None\",\n \"str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。\",\n \"int \\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount =\",\n \"self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"for the specific language governing permissions and # limitations under\",\n \":type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength:\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0\",\n \"self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\")\",\n \"str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy:\",\n \"self.Info = None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User\",\n \"_deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail =\",\n \"Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total:\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID\",\n \"\\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period:\",\n \"\\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount = None\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None\",\n \"OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset:\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels\",\n \"str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。\",\n \":param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows\",\n \"list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"None self.EndTime = None self.SortBy = None self.OrderBy = None\",\n \"r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求\",\n \"params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for\",\n \"self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit\",\n \":type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str\",\n \"str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product:\",\n \"self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus\",\n \"EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip:\",\n \"def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not\",\n \"_deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程\",\n \"HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def\",\n \":type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\"\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts =\",\n \"obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name,\",\n \"self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\")\",\n \"= None self.Product = None self.EngineVersion = None def _deserialize(self,\",\n \"params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items\",\n \"配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType =\",\n \"params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId\",\n \"def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin\",\n \"= None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region =\",\n \"- 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。\",\n \":type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\"\",\n \"= params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId =\",\n \":param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId:\",\n \"RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId\",\n \"__init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param Name:\",\n \"int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str\",\n \"for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId\",\n \"总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float\",\n \"def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str\",\n \"+ {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\"\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\")\",\n \"MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration\",\n \"异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\"\",\n \":type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param\",\n \":param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type\",\n \"of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId:\",\n \"% \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回\",\n \"int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus =\",\n \"obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId =\",\n \"ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\"\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not\",\n \"params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\")\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self):\",\n \"law or agreed to in writing, software # distributed under\",\n \"= params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name,\",\n \":param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。\",\n \"= params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel):\",\n \"= None self.Product = None self.Md5 = None def _deserialize(self,\",\n \"= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime =\",\n \"Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost:\",\n \"self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp =\",\n \"= None self.Sources = None self.HealthLevels = None self.TaskStatuses =\",\n \"ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count:\",\n \"_deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel):\",\n \"obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set =\",\n \":type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name = None\",\n \"int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate:\",\n \"= params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel):\",\n \"碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float\",\n \"str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp\",\n \"= [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item)\",\n \"list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData:\",\n \":param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None\",\n \"PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine\",\n \"params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int\",\n \"r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param\",\n \":type SqlText: str :param Schema: 数据库名 :type Schema: str :param\",\n \"= params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\")\",\n \"SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds:\",\n \"self.DiagType = None self.EndTime = None self.StartTime = None self.EventId\",\n \"self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds\",\n \"新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel):\",\n \"结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem\",\n \"def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of\",\n \"item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp =\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas\",\n \"of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product\",\n \"= None self.Command = None self.Time = None self.Info =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self):\",\n \"Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime\",\n \"None self.IndexLength = None self.DataFree = None self.TotalLength = None\",\n \"self.TotalCount = None self.Contacts = None self.RequestId = None def\",\n \"_deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None:\",\n \"= params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type\",\n \"Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources:\",\n \"is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\")\",\n \"self.EventId = None self.Explanation = None self.Outline = None self.Problem\",\n \"or implied. # See the License for the specific language\",\n \"Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip:\",\n \"TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。\",\n \"\\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str\",\n \"= None self.DiagType = None self.StartTime = None self.EndTime =\",\n \"self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId\",\n \":type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param\",\n \"= params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu =\",\n \"self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"if params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for item\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads\",\n \"\\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data:\",\n \"- 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。\",\n \"params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param\",\n \"self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type\",\n \"= None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime =\",\n \"self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan\",\n \"= params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name,\",\n \"float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒\",\n \"_deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name,\",\n \"IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity:\",\n \":type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays:\",\n \"params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\")\",\n \"params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail:\",\n \"of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"\\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls:\",\n \"int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\"\",\n \"class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。\",\n \"EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport:\",\n \"self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\")\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\"\",\n \"= params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None\",\n \"= params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product =\",\n \"查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int\",\n \"\\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\"\",\n \"__init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo\",\n \"def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param\",\n \"params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"_deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset =\",\n \"\\\"\\\"\\\" self.Id = None self.RequestId = None def _deserialize(self, params):\",\n \"self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg\",\n \"params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"None self.Limit = None self.SortBy = None self.Product = None\",\n \"str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus =\",\n \":param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId:\",\n \"DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \":type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime:\",\n \":type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of\",\n \"self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def\",\n \"self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId\",\n \"self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product\",\n \"= params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions =\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\")\",\n \"str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。\",\n \"self.Product = None self.Offset = None self.Limit = None self.ProfileName\",\n \"class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。\",\n \"EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline:\",\n \"params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value\",\n \"= None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay =\",\n \"\\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\")\",\n \"Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"= None self.ContactPerson = None self.ContactGroup = None def _deserialize(self,\",\n \"Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id\",\n \":type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param\",\n \"self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\")\",\n \"None self.ProfileName = None self.ProfileType = None self.Product = None\",\n \"r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10\",\n \"int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\"\",\n \"self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \"not None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj\",\n \":param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回\",\n \"self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy:\",\n \"\\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas:\",\n \"InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param\",\n \"def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param\",\n \"[] for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj)\",\n \"self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in\",\n \"str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON：\",\n \"params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\")\",\n \"self.Count = None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio\",\n \"item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId =\",\n \":type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type\",\n \":type Vport: int :param Source: 接入来源。 :type Source: str :param\",\n \"self.Schema = None self.Tables = None self.SqlPlan = None self.Cost\",\n \"self.Product = None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo\",\n \"self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param\",\n \"params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\")\",\n \"= params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 =\",\n \"= None self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\")\",\n \"None self.DataFree = None self.TotalLength = None self.FragRatio = None\",\n \"ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type\",\n \"= params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel):\",\n \"= None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime:\",\n \"EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product:\",\n \"def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks =\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows = None\",\n \"params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\")\",\n \"_deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None:\",\n \"None self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is\",\n \":type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param\",\n \"the License for the specific language governing permissions and #\",\n \"DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity:\",\n \"Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。\",\n \"item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp =\",\n \"self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds\",\n \"self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for\",\n \"self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \":type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\"\",\n \"= None self.Time = None self.Info = None self.Limit =\",\n \"碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int\",\n \"Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList:\",\n \"str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore =\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \"= [] for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item)\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not\",\n \"int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def\",\n \":type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type\",\n \"= params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent =\",\n \":param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回\",\n \"SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type\",\n \"params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。\",\n \"# distributed under the License is distributed on an \\\"AS\",\n \"= MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。\",\n \"self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice()\",\n \"float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。\",\n \"_deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus =\",\n \"None self.ContactPerson = None self.ContactGroup = None self.Product = None\",\n \"params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\")\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items:\",\n \"线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str\",\n \"= MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\"\",\n \"KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \":param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" +\",\n \"None self.AsyncRequestId = None self.Product = None def _deserialize(self, params):\",\n \"ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。\",\n \":param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type\",\n \"params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData()\",\n \"def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds\",\n \"% \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel):\",\n \"self.InstanceName = None self.Vip = None self.Vport = None self.Product\",\n \":type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。\",\n \"str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。\",\n \"str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param\",\n \"ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param\",\n \"params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\"))\",\n \"资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool\",\n \"异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。\",\n \"Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source:\",\n \"联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list\",\n \":type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None\",\n \"-*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29\",\n \"self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"self.TimeSeries = None self.SeriesData = None self.RequestId = None def\",\n \"self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\")\",\n \"= params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg =\",\n \"int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of\",\n \"None self.IssueType = None self.TopSeverity = None self.Count = None\",\n \"= params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize =\",\n \":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type\",\n \"CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params):\",\n \":type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param\",\n \"self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if\",\n \"_deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \"params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList\",\n \"None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None\",\n \"list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self):\",\n \"self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in\",\n \"int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。\",\n \"self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes\",\n \":type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of\",\n \"实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId = None\",\n \"self.SqlPlan = None self.Cost = None self.RequestId = None def\",\n \"None self.User = None self.Host = None self.DB = None\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp =\",\n \"= HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\"\",\n \"params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self):\",\n \"= params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"if params.get(\\\"Items\\\") is not None: self.Items = [] for item\",\n \"None self.Problem = None self.Severity = None self.StartTime = None\",\n \"str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None\",\n \"最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float\",\n \"item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp =\",\n \"- 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param\",\n \"DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def\",\n \"= None self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\")\",\n \"Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId:\",\n \"StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime:\",\n \"亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。\",\n \"int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括：\",\n \"list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"_deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel):\",\n \"= params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set =\",\n \"\\\"\\\"\\\" self.ID = None self.User = None self.Host = None\",\n \"__init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData\",\n \"self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def\",\n \"params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\")\",\n \"self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime\",\n \"params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str\",\n \"= params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。\",\n \"全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list\",\n \"PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema =\",\n \"float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。\",\n \"SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost:\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class\",\n \"TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回\",\n \"State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time:\",\n \"self.StartTime = None self.EventId = None self.Severity = None self.Outline\",\n \"the License. # You may obtain a copy of the\",\n \"健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"= None self.StartTime = None self.EventId = None self.Severity =\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime:\",\n \"of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int\",\n \"= None self.Engine = None self.DataLength = None self.IndexLength =\",\n \":type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions:\",\n \"% \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration:\",\n \"self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName\",\n \"self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if\",\n \"int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。\",\n \"= None self.Regions = None self.Product = None self.InstanceIds =\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount\",\n \"实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type\",\n \"params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for\",\n \"params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set =\",\n \"% \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId =\",\n \":param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type\",\n \":type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param\",\n \"None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj =\",\n \"params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体\",\n \"10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type\",\n \"地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime =\",\n \"null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class\",\n \"ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType\",\n \"= None self.TotalCount = None self.RequestId = None def _deserialize(self,\",\n \"所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int\",\n \"str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID\",\n \"= params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"\\\"\\\"\\\" self.Count = None self.Timestamp = None def _deserialize(self, params):\",\n \"params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys())\",\n \"self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if\",\n \"\\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId:\",\n \"AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" -\",\n \"- 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId\",\n \"self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl\",\n \"self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value\",\n \":type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of\",\n \"Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost =\",\n \"\\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore:\",\n \"Product: str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId\",\n \"_deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime =\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None\",\n \"def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host\",\n \"r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。\",\n \"self.Rows = [] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem()\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\"\",\n \"% \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":type DB: str :param State: 线程的操作状态。 :type State: str :param\",\n \":param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type\",\n \"self.Schema = None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel):\",\n \"= params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source =\",\n \"self.Values = None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit\",\n \"self.Region = None self.HealthScore = None self.Product = None self.EventCount\",\n \":type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region:\",\n \"ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate:\",\n \"None self.TotalLength = None self.FragRatio = None self.TableRows = None\",\n \"Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None\",\n \"= params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name,\",\n \":type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str\",\n \":type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体\",\n \"TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio:\",\n \"= ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value\",\n \"int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数\",\n \"_deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product =\",\n \"平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float\",\n \"self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel\",\n \"SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText:\",\n \"Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric:\",\n \":param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28\",\n \"int \\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime =\",\n \"高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None\",\n \"Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"__init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2\",\n \"_deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel):\",\n \"if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for item\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\"\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if\",\n \"r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"\\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"A29 Limited, a Tencent company. All Rights Reserved. # #\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration\",\n \"= None self.Source = None self.Progress = None self.CreateTime =\",\n \"self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId\",\n \"= params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set =\",\n \"not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for\",\n \"str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。\",\n \"str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。\",\n \"str :param Events: 异常事件。 :type Events: list of EventInfo :param\",\n \"SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str\",\n \"= None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel):\",\n \"符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表\",\n \"class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None\",\n \"OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def\",\n \"= params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set =\",\n \"params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\"\",\n \"str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。\",\n \"第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items = []\",\n \"float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset:\",\n \"in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime =\",\n \"Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime\",\n \"Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined\",\n \"self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据\",\n \"= None self.TotalLength = None self.FragRatio = None self.TableRows =\",\n \"self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for\",\n \"CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"= params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set =\",\n \"RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体\",\n \":param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type\",\n \"= None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax =\",\n \"= None self.Volume = None self.EngineVersion = None self.Vip =\",\n \"params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys())\",\n \"params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs =\",\n \"ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity\",\n \"\\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem:\",\n \":type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values:\",\n \"= params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name,\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`\",\n \"def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for\",\n \":type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime\",\n \"specific language governing permissions and # limitations under the License.\",\n \"ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\")\",\n \"str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type\",\n \"= params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup\",\n \"self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items\",\n \"None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel):\",\n \"__init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param User:\",\n \"= None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def\",\n \"Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy:\",\n \"self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg\",\n \"= None self.HealthLevels = None self.TaskStatuses = None self.Offset =\",\n \"_deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def\",\n \"Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"None self.Explanation = None self.Outline = None self.Problem = None\",\n \"线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str\",\n \"= None self.BindInstanceId = None self.Product = None def _deserialize(self,\",\n \"def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus\",\n \":type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None\",\n \"None self.Timestamp = None self.RequestId = None def _deserialize(self, params):\",\n \"params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\")\",\n \"MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name\",\n \"r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。\",\n \"\\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks:\",\n \"扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int\",\n \"\\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。\",\n \"of str :param Regions: 根据地域条件查询。 :type Regions: list of str\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId = None\",\n \"obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel):\",\n \"None self.InstanceIds = None self.Regions = None def _deserialize(self, params):\",\n \"诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str\",\n \"str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId =\",\n \":type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param\",\n \"异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events =\",\n \"DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command:\",\n \"[] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj)\",\n \":param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str\",\n \"null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list\",\n \"EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel):\",\n \"params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set =\",\n \":type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost\",\n \"= params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels =\",\n \"params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId =\",\n \"SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData\",\n \"ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。\",\n \"list of str \\\"\\\"\\\" self.IsSupported = None self.Product = None\",\n \"DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength:\",\n \"params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys())\",\n \":type Id: int :param Name: 组名称。 :type Name: str :param\",\n \"GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\"\",\n \"_deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel):\",\n \"int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板\",\n \"TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type\",\n \"筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。\",\n \"IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree:\",\n \"事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:\",\n \"item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId =\",\n \"r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求\",\n \"内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int\",\n \"开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime:\",\n \"self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls\",\n \"DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime:\",\n \"- 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost:\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Period =\",\n \":type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None\",\n \"str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product:\",\n \"磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int\",\n \"self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\")\",\n \":param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp:\",\n \"\\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None\",\n \"is not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"):\",\n \"params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value\",\n \"\\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo:\",\n \":type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\"\",\n \"DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type\",\n \"= params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag =\",\n \"= params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree =\",\n \":type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param\",\n \"= params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset =\",\n \":type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel):\",\n \"str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param\",\n \"self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value\",\n \":type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of\",\n \"str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId =\",\n \"InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。\",\n \"= params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema =\",\n \"self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\"\",\n \":param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持\",\n \"params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value\",\n \"self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask()\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel):\",\n \"None self.Status = None self.UniqSubnetId = None self.DeployMode = None\",\n \"None self.Stage = None self.Threads = None self.SqlExecId = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\"\",\n \"None self.EndTime = None self.Product = None self.Md5 = None\",\n \"def _deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series =\",\n \"DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels:\",\n \"= None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 =\",\n \"\\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。\",\n \"RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain = None self.Total\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type\",\n \":param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag:\",\n \"of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"= None self.SqlText = None self.Schema = None self.QueryTimeRatio =\",\n \"in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\")\",\n \"params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\")\",\n \"无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\"\",\n \"Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求\",\n \"self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for\",\n \"self.TopSeverity = None self.Count = None self.ScoreLost = None def\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str\",\n \"int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId:\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None\",\n \":type ID: str :param User: 线程的操作账号名。 :type User: str :param\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\"\",\n \"not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName\",\n \"name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds\",\n \"self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region\",\n \"self.Offset = None self.Limit = None self.ProfileName = None def\",\n \"r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。\",\n \"None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel):\",\n \"= params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel):\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList:\",\n \"= None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf =\",\n \":param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type\",\n \"params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys())\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。\",\n \":param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId\",\n \":class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。\",\n \"PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\"\",\n \"StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param\",\n \"否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\",\",\n \"int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param\",\n \"self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for\",\n \"\\\"\\\"\\\" self.Id = None self.Name = None self.Mail = None\",\n \":param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type\",\n \"任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None def\",\n \"\\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\")\",\n \"\\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:\",\n \"\\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema:\",\n \"self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for\",\n \"= None self.Name = None self.MemberCount = None def _deserialize(self,\",\n \"= None self.Md5 = None def _deserialize(self, params): self.InstanceId =\",\n \"磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int\",\n \"params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"= params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count =\",\n \"list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None\",\n \"class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。\",\n \"None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \":param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type\",\n \":param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回\",\n \":type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param\",\n \"None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\")\",\n \":param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type\",\n \"self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId\",\n \"self.StartTime = None self.EndTime = None self.Product = None def\",\n \"\\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount:\",\n \"DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type\",\n \"params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio:\",\n \"= params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符，\",\n \"str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。\",\n \"None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type\",\n \"def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries =\",\n \"= None self.TopSeverity = None self.Count = None self.ScoreLost =\",\n \"str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.InstanceName = None self.Vip = None self.Vport =\",\n \"DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType:\",\n \"Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel):\",\n \"CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime:\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId:\",\n \"is not None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"):\",\n \"None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体\",\n \"None self.DiagType = None self.EventId = None self.Explanation = None\",\n \"\\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:\",\n \"结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str\",\n \"指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"# limitations under the License. import warnings from tencentcloud.common.abstract_model import\",\n \"EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type\",\n \"StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo:\",\n \"列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"None self.EndTime = None self.Product = None self.DangerLevels = None\",\n \"self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric\",\n \"[] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj)\",\n \"obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def\",\n \"software # distributed under the License is distributed on an\",\n \"import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName =\",\n \"self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore =\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\"\",\n \"线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None self.User =\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount =\",\n \":param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is\",\n \"of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type\",\n \"= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId =\",\n \":type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。\",\n \"self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson\",\n \"SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"None self.Groups = None self.RequestId = None def _deserialize(self, params):\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for\",\n \"not None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None:\",\n \"self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"\\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count:\",\n \"12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime:\",\n \"Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param DangerLevels:\",\n \"= params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time =\",\n \"= params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy =\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId\",\n \"MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type\",\n \"Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param\",\n \"邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type\",\n \":param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type\",\n \"r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒\",\n \":param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type\",\n \"self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\"\",\n \"DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type\",\n \"if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s\",\n \"= None self.StartDate = None self.EndDate = None self.Product =\",\n \"= None self.Count = None def _deserialize(self, params): self.EventId =\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\")\",\n \"from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion =\",\n \":type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param\",\n \"self.ProfileName = None self.BindInstanceId = None self.Product = None def\",\n \":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None\",\n \"None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"= None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime =\",\n \":param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type\",\n \"_deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total =\",\n \"self.Command = None self.Time = None self.Info = None def\",\n \"class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\"\",\n \"class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。\",\n \":param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type\",\n \"self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value\",\n \":type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type\",\n \"__init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param Name:\",\n \"None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported =\",\n \"Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem\",\n \"list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID\",\n \"= params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode =\",\n \"None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def\",\n \"HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\"\",\n \":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1,\",\n \":param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId:\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param\",\n \"最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int\",\n \"危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" -\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\"\",\n \"= params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"self.TotalCount = None self.Tasks = None self.RequestId = None def\",\n \"str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product =\",\n \"self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds\",\n \"IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type\",\n \":type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None:\",\n \"EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库\",\n \"class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。\",\n \"_deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel =\",\n \"self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag\",\n \"DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime\",\n \"None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\")\",\n \":type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self):\",\n \"- 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param\",\n \"等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self):\",\n \"str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。\",\n \"= None self.StartTime = None self.EndTime = None self.Outline =\",\n \"Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names:\",\n \":param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime:\",\n \"r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param\",\n \"None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params):\",\n \"str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。\",\n \"总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"\\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\")\",\n \"= params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj =\",\n \"self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set\",\n \"self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax\",\n \"= params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection =\",\n \":param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type\",\n \"None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None\",\n \"self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments\",\n \"Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName:\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\")\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int\",\n \"self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables\",\n \"float \\\"\\\"\\\" self.Metric = None self.Unit = None self.Values =\",\n \"TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求\",\n \"self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus\",\n \":param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top\",\n \"= params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio =\",\n \"in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) >\",\n \"HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\"\",\n \":param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources:\",\n \"params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\")\",\n \"class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\")\",\n \"Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info:\",\n \":type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None\",\n \"None self.Info = None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\")\",\n \"class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。\",\n \"None self.EventId = None self.Severity = None self.Outline = None\",\n \"TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit:\",\n \"__init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds:\",\n \"= params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel):\",\n \"def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param\",\n \"params): if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\"))\",\n \"单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema =\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\") is\",\n \"None self.DataLength = None self.IndexLength = None self.DataFree = None\",\n \"Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。\",\n \":type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。\",\n \":type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None\",\n \"params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"self.Vport = None self.Source = None self.GroupId = None self.GroupName\",\n \"SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas\",\n \"联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None\",\n \"of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param\",\n \"None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is\",\n \"None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\")\",\n \"self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel):\",\n \"Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail:\",\n \"class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。\",\n \"= params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength =\",\n \":param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0\",\n \"= None self.Offset = None self.Limit = None self.InstanceNames =\",\n \"self.ProcessList = None self.RequestId = None def _deserialize(self, params): if\",\n \"日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。\",\n \"item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId =\",\n \"self.TotalCount = None self.Rows = None self.RequestId = None def\",\n \"= None self.Info = None self.Limit = None self.Product =\",\n \"EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\"))\",\n \"= params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate =\",\n \":param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId:\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId\",\n \"None self.Offset = None self.Limit = None self.Product = None\",\n \"def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param\",\n \"class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。\",\n \"str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件:\",\n \"params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys())\",\n \"MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None\",\n \"self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema\",\n \"% \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None:\",\n \"self.Metric = None self.Count = None def _deserialize(self, params): self.EventId\",\n \"EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy\",\n \"EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined\",\n \"Metric: str :param Unit: 指标单位。 :type Unit: str :param Values:\",\n \"\\\"\\\"\\\" self.Events = None self.RequestId = None def _deserialize(self, params):\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime\",\n \":type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time\",\n \":type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp:\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \":type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported:\",\n \"class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"_deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = []\",\n \"None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params):\",\n \"= None self.DeployMode = None self.InitFlag = None self.TaskStatus =\",\n \"= params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None:\",\n \"params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self):\",\n \":type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param\",\n \":param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type\",\n \":param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type\",\n \"TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId:\",\n \"\\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region = None\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list\",\n \"None def _deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series\",\n \"_deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime =\",\n \"self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory\",\n \"= None self.Rows = None self.RequestId = None def _deserialize(self,\",\n \"= None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name =\",\n \"= SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体\",\n \"self.Timestamp = None self.RequestId = None def _deserialize(self, params): if\",\n \"= params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric =\",\n \"self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items =\",\n \"str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。\",\n \"= params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name,\",\n \"执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"None self.EventId = None self.Product = None def _deserialize(self, params):\",\n \":type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds =\",\n \"ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list\",\n \"BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \":type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param\",\n \"self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \":type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str\",\n \"def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId:\",\n \"self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId\",\n \"结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\"\",\n \"MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\"\",\n \"class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。\",\n \":param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product:\",\n \"异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type\",\n \"None self.ID = None self.User = None self.Host = None\",\n \"int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str\",\n \"% \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset =\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data\",\n \"SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def\",\n \"list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of\",\n \"__init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength:\",\n \"self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if\",\n \"\\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type\",\n \"of str \\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset\",\n \"str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求\",\n \"self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf\",\n \"StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。\",\n \"params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\")\",\n \"DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\")\",\n \"% \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒\",\n \"params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\"))\",\n \"str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。\",\n \"ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric:\",\n \"日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int\",\n \"= params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit =\",\n \"str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity:\",\n \"params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\")\",\n \"= None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel):\",\n \":type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\"\",\n \":param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId:\",\n \"[] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj)\",\n \"params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items =\",\n \"class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。\",\n \"params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\")\",\n \":param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp:\",\n \"Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit:\",\n \"CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress:\",\n \"params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\")\",\n \":type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of\",\n \"None self.StartTime = None self.EndTime = None self.Outline = None\",\n \"\\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product:\",\n \"DB: str :param State: 线程的操作状态。 :type State: str :param Command:\",\n \"= None self.Regions = None def _deserialize(self, params): self.IsSupported =\",\n \"= params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio =\",\n \":param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode\",\n \"= None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId =\",\n \"for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None\",\n \"class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。\",\n \"Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost\",\n \"SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit:\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID =\",\n \"InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime =\",\n \"str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param\",\n \"def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Id =\",\n \":param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type\",\n \"StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric:\",\n \":type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param\",\n \"= params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime =\",\n \"= [] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item)\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId =\",\n \"= params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name,\",\n \"self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio\",\n \"params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for\",\n \":type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 -\",\n \"= None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product =\",\n \"诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str\",\n \"None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name,\",\n \"int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param\",\n \"params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"str \\\"\\\"\\\" self.Urls = None self.RequestId = None def _deserialize(self,\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None\",\n \"Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit:\",\n \"self.IsSupported = None self.Product = None self.Offset = None self.Limit\",\n \"LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio:\",\n \"self.EndTime = None self.Product = None self.Md5 = None def\",\n \":type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None\",\n \"str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。\",\n \"SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays =\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self):\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel):\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks =\",\n \"obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def\",\n \"实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str\",\n \"self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses\",\n \"None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None\",\n \"params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for\",\n \"\\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp\",\n \"int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\") is not\",\n \"params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID:\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId =\",\n \"self.Events = None self.RequestId = None def _deserialize(self, params): if\",\n \"= None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType =\",\n \"_deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events = []\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None\",\n \"Time: str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID\",\n \"\\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"= None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp =\",\n \"obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name,\",\n \"= params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set =\",\n \"Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求\",\n \"\\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list\",\n \"IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength:\",\n \"= params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem =\",\n \"= params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables =\",\n \"self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels\",\n \"__init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId =\",\n \"str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。\",\n \"self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem\",\n \"未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。\",\n \"= None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio =\",\n \"list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list\",\n \"in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status:\",\n \"= None self.Limit = None self.Product = None def _deserialize(self,\",\n \"Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId:\",\n \"TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId =\",\n \"params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type\",\n \"License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体\",\n \"= [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item)\",\n \"int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param\",\n \":param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series\",\n \":type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param\",\n \"self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\")\",\n \"list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"_deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None:\",\n \"。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str\",\n \":param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\"\",\n \"null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None\",\n \"int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId =\",\n \"_deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = []\",\n \"str \\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime =\",\n \"params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括：\",\n \"not None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj\",\n \"安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND：\",\n \"None self.InstanceType = None self.Cpu = None self.Memory = None\",\n \"已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of\",\n \"事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel):\",\n \"\\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None def _deserialize(self,\",\n \"str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。\",\n \"Reserved. # # Licensed under the Apache License, Version 2.0\",\n \"= params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio =\",\n \"线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str\",\n \"= None self.Timestamp = None def _deserialize(self, params): self.Count =\",\n \"str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。\",\n \"obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices =\",\n \":type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None\",\n \"None self.DiagItem = None self.InstanceId = None self.Metric = None\",\n \"int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str\",\n \"= params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。\",\n \"Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库\",\n \"self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def\",\n \"Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB:\",\n \"Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost:\",\n \":type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param\",\n \"params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys())\",\n \"params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\"\",\n \":param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs\",\n \"是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region:\",\n \":param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type\",\n \"int :param Rows: 慢日志 top sql 列表 :type Rows: list\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self):\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel):\",\n \"SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product:\",\n \"Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product =\",\n \"联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str\",\n \"Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str\",\n \"Info: str \\\"\\\"\\\" self.ID = None self.User = None self.Host\",\n \"self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText\",\n \":type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime = None\",\n \"- 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress:\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList\",\n \"self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName\",\n \":param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list\",\n \"= params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set =\",\n \":param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type\",\n \"服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list\",\n \"None self.Limit = None self.Product = None def _deserialize(self, params):\",\n \"筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括：\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str\",\n \"params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\")\",\n \"class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。\",\n \"\\\"\\\"\\\" self.Growth = None self.Remain = None self.Total = None\",\n \"self.Mail = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name\",\n \"= params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList\",\n \"= params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio =\",\n \"str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param\",\n \"__init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int\",\n \"= params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus =\",\n \"self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation\",\n \"Vport: int :param Source: 接入来源。 :type Source: str :param GroupId:\",\n \"def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not\",\n \"is not None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str\",\n \"or agreed to in writing, software # distributed under the\",\n \"= MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in\",\n \":type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration =\",\n \"排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type\",\n \"coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited,\",\n \"- 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\"\",\n \"str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product =\",\n \":type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\"\",\n \":type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str\",\n \":type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param\",\n \"self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for\",\n \"- 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str :param\",\n \"欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName =\",\n \"ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"__init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema\",\n \"= params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\"\",\n \"= [] for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item)\",\n \"\\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds = None\",\n \"None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\")\",\n \"None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None:\",\n \"None self.TaskStatuses = None self.Offset = None self.Limit = None\",\n \"true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"= None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin =\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time =\",\n \"if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None\",\n \"def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not\",\n \"int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice\",\n \"str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。\",\n \"= None self.Limit = None self.SortBy = None self.StartDate =\",\n \"安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"None self.RangeDays = None self.Product = None def _deserialize(self, params):\",\n \"self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\")\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\")\",\n \"= None self.EndTime = None self.InstanceInfo = None self.HealthStatus =\",\n \"params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\")\",\n \"DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type\",\n \"params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries =\",\n \"= None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self,\",\n \"InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int\",\n \"= None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None:\",\n \"if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime\",\n \"None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\")\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\"\",\n \"CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type\",\n \":type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int\",\n \"self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion\",\n \"= params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"% \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.StartTime = None self.EndTime = None self.Product = None self.Md5\",\n \"of int \\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus\",\n \"params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告,\",\n \"list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。\",\n \"概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int\",\n \"Metric: str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId\",\n \"params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体\",\n \"= None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio =\",\n \"MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\"\",\n \"class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type\",\n \"list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \":type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events = None\",\n \"str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求\",\n \"in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \"None self.Product = None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\")\",\n \"None self.InstanceName = None self.Region = None self.HealthScore = None\",\n \"Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList:\",\n \"Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \":param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo:\",\n \"= params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"\\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\")\",\n \":type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\"\",\n \"Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema\",\n \"Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel):\",\n \"params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\"))\",\n \"self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset:\",\n \"[] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj)\",\n \"= params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set =\",\n \"MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for\",\n \"开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str\",\n \"= params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema =\",\n \"EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline:\",\n \"r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。\",\n \"DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type\",\n \":type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None\",\n \":type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param\",\n \"Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId:\",\n \"None self.SqlExecId = None self.Product = None def _deserialize(self, params):\",\n \"\\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays =\",\n \"params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"_deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount =\",\n \"\\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"self.Id = None self.Name = None self.Mail = None def\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress:\",\n \"self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product\",\n \"= None self.Offset = None self.Limit = None self.Product =\",\n \":type Mail: str \\\"\\\"\\\" self.Id = None self.Name = None\",\n \"params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId:\",\n \"self.Total = None self.AvailableDays = None self.RequestId = None def\",\n \"str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param\",\n \":type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None\",\n \"联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo:\",\n \"self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks\",\n \":param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def\",\n \"- 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type\",\n \":type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus:\",\n \"self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg\",\n \"None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体\",\n \"Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime:\",\n \"self.Metric = None self.Unit = None self.Values = None def\",\n \"= [] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item)\",\n \"InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type\",\n \"self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline\",\n \"SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product:\",\n \"self.Name = None self.ContactInfo = None self.Product = None def\",\n \"Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio\",\n \"self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"self.Series = None self.Timestamp = None def _deserialize(self, params): if\",\n \"params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"self.Limit = None self.SortBy = None self.Product = None def\",\n \"TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int\",\n \"language governing permissions and # limitations under the License. import\",\n \"\\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore:\",\n \"is not None: self.Series = [] for item in params.get(\\\"Series\\\"):\",\n \"params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\")\",\n \"= params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"= None self.ContactGroup = None def _deserialize(self, params): self.SendMail =\",\n \":type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param\",\n \"class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。\",\n \"- 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param\",\n \"None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays\",\n \"params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\")\",\n \"= params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None:\",\n \"str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str\",\n \"= TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData\",\n \"= None self.Status = None self.UniqSubnetId = None self.DeployMode =\",\n \"= None self.Severity = None self.Outline = None self.DiagItem =\",\n \"params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is\",\n \"= None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None:\",\n \"= UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost\",\n \"平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str\",\n \"= params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo\",\n \"class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。\",\n \":param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回\",\n \"= None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId =\",\n \"self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId\",\n \"= params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def\",\n \"最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds:\",\n \"Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema\",\n \"\\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId:\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type\",\n \"SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product:\",\n \"params.get(\\\"Groups\\\") is not None: self.Groups = [] for item in\",\n \"\\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count = None\",\n \"str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType:\",\n \"def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param\",\n \"DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\"\",\n \"PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes\",\n \":type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param\",\n \"InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory:\",\n \"LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined:\",\n \"ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel\",\n \"\\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name:\",\n \"params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys())\",\n \":type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel):\",\n \"list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list\",\n \"= params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId\",\n \":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data =\",\n \"健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel:\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for\",\n \":type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param\",\n \":type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset\",\n \":type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio = None\",\n \"AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" -\",\n \"params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value\",\n \"of str \\\"\\\"\\\" self.Product = None self.Names = None def\",\n \"时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText:\",\n \"None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None\",\n \"= params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit =\",\n \"None self.Mail = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\")\",\n \"[] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj)\",\n \"self.Threads = None self.SqlExecId = None self.RequestId = None def\",\n \"self.Items = [] for item in params.get(\\\"Items\\\"): obj = InstanceInfo()\",\n \"Unless required by applicable law or agreed to in writing,\",\n \"\\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series:\",\n \"self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId\",\n \":type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param\",\n \"of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType\",\n \"permissions and # limitations under the License. import warnings from\",\n \"params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for\",\n \"运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None\",\n \"TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus:\",\n \":param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type\",\n \"(c) 2017-2021 THL A29 Limited, a Tencent company. All Rights\",\n \"params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId\",\n \"= None self.Region = None self.HealthScore = None self.Product =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str\",\n \"RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg:\",\n \"None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\")\",\n \"Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求\",\n \":param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str\",\n \"self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax\",\n \"Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param\",\n \"= None self.Source = None self.GroupId = None self.GroupName =\",\n \"self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg\",\n \"LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined:\",\n \"InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。\",\n \":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel =\",\n \"def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime\",\n \":param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None\",\n \"self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId:\",\n \"self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime\",\n \"AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"\\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id,\",\n \"None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type\",\n \"self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if\",\n \"def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList =\",\n \"self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \"for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds:\",\n \"\\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries:\",\n \"class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。\",\n \"str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId =\",\n \"State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command:\",\n \"服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo =\",\n \"= params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory =\",\n \"\\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs:\",\n \"params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\")\",\n \"_deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series = []\",\n \"is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys())\",\n \"[] for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj)\",\n \"磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list\",\n \"obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def\",\n \"None self.Severity = None self.Outline = None self.DiagItem = None\",\n \"ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。\",\n \":type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param\",\n \"= None self.Time = None self.Product = None def _deserialize(self,\",\n \"= None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId =\",\n \"联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体\",\n \"= None self.AsyncRequestId = None self.Product = None def _deserialize(self,\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId\",\n \"self.Memory = None self.Volume = None self.EngineVersion = None self.Vip\",\n \"_deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin =\",\n \"for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel):\",\n \"self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set\",\n \"str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId =\",\n \"not None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj\",\n \"self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName\",\n \"params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys())\",\n \"params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType:\",\n \"str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus:\",\n \"MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param\",\n \"None self.ContactGroup = None self.Product = None def _deserialize(self, params):\",\n \"int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。\",\n \":type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails:\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\")\",\n \"= None def _deserialize(self, params): if params.get(\\\"Data\\\") is not None:\",\n \"= None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None:\",\n \"None: self.Groups = [] for item in params.get(\\\"Groups\\\"): obj =\",\n \"class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。\",\n \"% \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo`\",\n \"= None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments =\",\n \"list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\"\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime:\",\n \"ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User:\",\n \"obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel):\",\n \"str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\"\",\n \"ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\"\",\n \"You may obtain a copy of the License at #\",\n \"Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries:\",\n \"Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId\",\n \"of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。\",\n \"None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\")\",\n \"% \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset\",\n \"= None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId =\",\n \"_deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId =\",\n \"Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText:\",\n \"= params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId\",\n \"for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if\",\n \"线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int\",\n \"int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。\",\n \"for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId\",\n \":type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。\",\n \"self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType\",\n \"params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"= params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None\",\n \"int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def\",\n \"self.Vport = None self.Product = None self.EngineVersion = None def\",\n \"事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId\",\n \"None self.AsyncRequestIds = None self.Offset = None self.Limit = None\",\n \"r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。\",\n \"ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in\",\n \"self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB\",\n \"总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体\",\n \"接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type\",\n \"None self.Items = None self.RequestId = None def _deserialize(self, params):\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。\",\n \"None self.Status = None self.Progress = None self.LogStartTime = None\",\n \"str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param\",\n \"HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails:\",\n \":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\")\",\n \"- 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys())\",\n \":type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param\",\n \"= None self.StartTime = None self.EndTime = None self.InstanceInfo =\",\n \"RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId\",\n \"None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj =\",\n \"class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送:\",\n \"= None self.Suggestions = None self.Metric = None self.EndTime =\",\n \"__init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments:\",\n \"class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。\",\n \"self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels\",\n \"StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param\",\n \"TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine:\",\n \"if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for item\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId\",\n \"= None self.EndTime = None self.StartTime = None self.EventId =\",\n \"obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore =\",\n \"def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel\",\n \"list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库\",\n \"= params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name,\",\n \":param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type\",\n \"- 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\"\",\n \"params.get(\\\"Rows\\\") is not None: self.Rows = [] for item in\",\n \"None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\")\",\n \":type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param\",\n \"params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\")\",\n \"Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit:\",\n \"self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit =\",\n \"self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if\",\n \"params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is\",\n \"self.Command = None self.Time = None self.Info = None self.Limit\",\n \"self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\")\",\n \"self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command:\",\n \":type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str\",\n \"def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage:\",\n \"str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。\",\n \"Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\"\",\n \":type Regions: list of str \\\"\\\"\\\" self.IsSupported = None self.Product\",\n \"self.InstanceId = None self.Time = None self.Product = None def\",\n \"InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions:\",\n \"\\\"\\\"\\\" self.Data = None self.RequestId = None def _deserialize(self, params):\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region =\",\n \"__init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType:\",\n \"\\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id:\",\n \"线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str\",\n \"params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"\\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId:\",\n \"None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj =\",\n \":type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param\",\n \"SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"None def _deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events\",\n \"Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName\",\n \"是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type\",\n \":type User: str :param Host: 线程的操作主机地址。 :type Host: str :param\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param\",\n \"告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType =\",\n \":param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None\",\n \":type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param\",\n \"= [] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item)\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" -\",\n \"str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID =\",\n \":type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount:\",\n \"self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio\",\n \"class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。\",\n \"of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of\",\n \"params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData\",\n \"r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param\",\n \":type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None\",\n \"params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体\",\n \"self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem\",\n \"亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses:\",\n \"params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \":param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type\",\n \"self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions\",\n \"of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId:\",\n \"Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline:\",\n \"EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product\",\n \"params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\")\",\n \"行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product =\",\n \"LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax:\",\n \"params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\")\",\n \"ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param\",\n \"用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName:\",\n \"= None self.StartTime = None self.EndTime = None self.SortBy =\",\n \"= params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric =\",\n \"= None self.Problem = None self.Severity = None self.StartTime =\",\n \"obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel =\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of\",\n \":param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type\",\n \":type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \":type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost\",\n \"self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def\",\n \"= None self.Limit = None self.SortBy = None self.Product =\",\n \"self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for\",\n \"RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax:\",\n \"self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime\",\n \"self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in\",\n \":param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type\",\n \":param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type\",\n \":param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type\",\n \"__init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime:\",\n \"self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\")\",\n \"params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\")\",\n \"SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product:\",\n \"StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline:\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param\",\n \"self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for item\",\n \"State: str :param Command: 线程的执行类型。 :type Command: str :param Time:\",\n \"str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体\",\n \"SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str\",\n \"self.Vip = None self.Vport = None self.Source = None self.GroupId\",\n \"self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events =\",\n \"= params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name,\",\n \":param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type\",\n \"ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup:\",\n \"item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set =\",\n \"= None self.Limit = None self.Offset = None self.SchemaList =\",\n \"= params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity =\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage:\",\n \"may obtain a copy of the License at # #\",\n \"= params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def\",\n \"str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位%\",\n \"self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in\",\n \":type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param\",\n \"None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None\",\n \"self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product\",\n \":param EventId: 事件 ID 。 :type EventId: int :param DiagType:\",\n \"params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"= None self.Items = None self.RequestId = None def _deserialize(self,\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows =\",\n \"SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\") is\",\n \"Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language\",\n \":param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of\",\n \"= set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail:\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"\\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id:\",\n \"params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\")\",\n \"\\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount = None\",\n \"None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName =\",\n \"联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId:\",\n \":param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for item in\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self):\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param\",\n \"self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio:\",\n \"None self.DB = None self.State = None self.Command = None\",\n \"None self.ScoreLostMax = None self.Items = None def _deserialize(self, params):\",\n \":param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID\",\n \"params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \":type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments = None\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。\",\n \"MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。\",\n \"\\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime = None\",\n \"SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT：\",\n \"self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name\",\n \"str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例\",\n \"Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为\",\n \"float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。\",\n \"InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type\",\n \"self.Problem = None self.Severity = None self.StartTime = None self.Suggestions\",\n \"DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type\",\n \"核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int\",\n \"\\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric:\",\n \"self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo()\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts = []\",\n \"= None self.Unit = None self.Values = None def _deserialize(self,\",\n \"params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"_deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。\",\n \"of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type\",\n \"\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId =\",\n \"返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"\\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product = None\",\n \"StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param\",\n \"non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime =\",\n \"Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time:\",\n \"self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \":param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo =\",\n \"TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type\",\n \"int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。\",\n \"= InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体\",\n \":type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param\",\n \"= params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host =\",\n \":param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product:\",\n \":type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param\",\n \"def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param\",\n \"list of int \\\"\\\"\\\" self.Series = None self.Timestamp = None\",\n \"0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置,\",\n \"self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax\",\n \"list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。\",\n \"Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All\",\n \"= params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def\",\n \"= params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB =\",\n \"TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param\",\n \"QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg:\",\n \"Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel):\",\n \"self.Remain = None self.Total = None self.AvailableDays = None self.RequestId\",\n \"None self.StartTime = None self.EventId = None self.Severity = None\",\n \":type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param\",\n \"= params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline =\",\n \"= SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。\",\n \"null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" -\",\n \"ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset\",\n \":type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status:\",\n \"self.Items = [] for item in params.get(\\\"Items\\\"): obj = SlowLogHost()\",\n \"def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo =\",\n \"str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product =\",\n \"params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\")\",\n \"ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType\",\n \"params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`\",\n \"class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress\",\n \"str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self,\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId =\",\n \"_deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set =\",\n \":type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\",\",\n \"None self.Vip = None self.Vport = None self.Product = None\",\n \"self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree\",\n \"实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type\",\n \"= params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。\",\n \":type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param\",\n \"params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param\",\n \"\\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items = None\",\n \":type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"str \\\"\\\"\\\" self.ID = None self.User = None self.Host =\",\n \"params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\")\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId =\",\n \"EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime:\",\n \"= None self.Product = None self.EventCount = None self.InstanceType =\",\n \"None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\")\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type\",\n \"r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language:\",\n \"None self.SchemaList = None self.Product = None def _deserialize(self, params):\",\n \"= None self.Values = None def _deserialize(self, params): self.Metric =\",\n \"params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel =\",\n \"self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region\",\n \"= params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product =\",\n \"InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy:\",\n \"Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"Id: int :param Name: 联系人姓名。 :type Name: str :param Mail:\",\n \"= None self.Items = None def _deserialize(self, params): self.IssueType =\",\n \"TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\"\",\n \"params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\")\",\n \":type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param\",\n \"\\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None\",\n \"Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"None self.Tables = None self.SqlPlan = None self.Cost = None\",\n \"= ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value\",\n \":type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of\",\n \"params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\")\",\n \"InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip:\",\n \"int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。\",\n \"is not None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"):\",\n \"of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str\",\n \":type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param\",\n \":type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts:\",\n \":param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None\",\n \"。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int\",\n \"\\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"= None self.SortBy = None self.Product = None def _deserialize(self,\",\n \"class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。\",\n \"memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\"\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList =\",\n \"异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param\",\n \"= None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names =\",\n \":type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId:\",\n \"__init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel:\",\n \":type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup:\",\n \"None self.Memory = None self.Volume = None self.EngineVersion = None\",\n \":type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type\",\n \"self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \":type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel):\",\n \"params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys())\",\n \"obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def\",\n \"int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel:\",\n \"HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\"\",\n \":param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type\",\n \"r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param\",\n \"params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not\",\n \"None self.Info = None self.Limit = None self.Product = None\",\n \"= params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.Product = None self.InstanceIds = None def _deserialize(self,\",\n \":type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.ID = None self.User =\",\n \"预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"None self.ExpireTime = None self.RequestId = None def _deserialize(self, params):\",\n \":type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param\",\n \"class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\")\",\n \"self.TableName = None self.TableSchema = None self.Engine = None self.DataLength\",\n \"None self.Tasks = None self.RequestId = None def _deserialize(self, params):\",\n \":type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None\",\n \"self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language\",\n \"_deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host =\",\n \"= params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def\",\n \"self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel):\",\n \":param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type\",\n \"warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def\",\n \"ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。\",\n \"class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set\",\n \"Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime:\",\n \":type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param\",\n \"= None self.Memory = None self.Volume = None self.EngineVersion =\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage\",\n \"= None self.ProfileName = None self.ProfileType = None self.Product =\",\n \"结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \"= params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData()\",\n \"params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\")\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId\",\n \"None self.Offset = None self.Limit = None self.ProfileName = None\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None\",\n \":param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds:\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\")\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables\",\n \"null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None\",\n \"None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组\",\n \"def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param\",\n \"self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\"\",\n \"来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list\",\n \"总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float\",\n \":type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param\",\n \"= params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio =\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity\",\n \":param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type\",\n \"self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info\",\n \"self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def\",\n \"任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo`\",\n \":param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回\",\n \":param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId:\",\n \"None self.TableSchema = None self.Engine = None self.DataLength = None\",\n \"def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText =\",\n \"12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"\\\"\\\"\\\" self.Product = None self.Names = None def _deserialize(self, params):\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None:\",\n \"params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\")\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User =\",\n \":type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of\",\n \"str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds:\",\n \"self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength\",\n \"ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type\",\n \"self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product\",\n \"= params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None\",\n \"None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None\",\n \":param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel):\",\n \":type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param\",\n \":param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type\",\n \":type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds:\",\n \"= None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit =\",\n \"% \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId = None\",\n \":type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount =\",\n \"\\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric:\",\n \"r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\"\",\n \"self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for\",\n \"bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param\",\n \"self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration\",\n \"None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None\",\n \":param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type\",\n \"ANY KIND, either express or implied. # See the License\",\n \":param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" -\",\n \":param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type\",\n \"任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\"\",\n \"\\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan:\",\n \"# See the License for the specific language governing permissions\",\n \"if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set\",\n \":type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None\",\n \"\\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount =\",\n \":param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None\",\n \"None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes\",\n \"str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime:\",\n \"= None self.Timestamp = None self.RequestId = None def _deserialize(self,\",\n \"EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId:\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel):\",\n \"self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf =\",\n \"self.ContactPerson = None self.ContactGroup = None self.Product = None def\",\n \":type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param\",\n \"ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost =\",\n \"= None self.SqlExecId = None self.Product = None def _deserialize(self,\",\n \"None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型）\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit\",\n \"params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo:\",\n \"Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:\",\n \"not None: self.Rows = [] for item in params.get(\\\"Rows\\\"): obj\",\n \"self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None:\",\n \"= params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set =\",\n \":param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"__init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo\",\n \"None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None\",\n \"RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg:\",\n \"None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None\",\n \"\\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity = None\",\n \"params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\")\",\n \"% \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param\",\n \"def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes =\",\n \"self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\")\",\n \"self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax\",\n \"= None self.LogEndTime = None self.TotalSize = None self.DangerLevels =\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events\",\n \"params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\")\",\n \"CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime:\",\n \"None self.CreateTime = None self.Status = None self.Progress = None\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \"- 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset:\",\n \"int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId =\",\n \"obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None:\",\n \"ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId = None\",\n \"Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"= None self.Time = None self.Info = None def _deserialize(self,\",\n \"_deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText =\",\n \"\\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None\",\n \":type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items:\",\n \"self.State = None self.Command = None self.Time = None self.Info\",\n \"def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId\",\n \"self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain\",\n \":param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type\",\n \":param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region:\",\n \"_deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset =\",\n \"Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param\",\n \"MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None def\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product\",\n \"EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline:\",\n \"params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion\",\n \":param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set =\",\n \"None self.Name = None self.Mail = None def _deserialize(self, params):\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\"\",\n \"None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\")\",\n \"str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为\",\n \":type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param\",\n \":type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName:\",\n \":param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \":type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\"\",\n \"params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\")\",\n \"class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求\",\n \"联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id,\",\n \"= params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime =\",\n \":type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param\",\n \"self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体\",\n \"class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。\",\n \"= None self.Vport = None self.Product = None self.EngineVersion =\",\n \"= params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"_deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId\",\n \":param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None\",\n \":type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param\",\n \"RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax:\",\n \"params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\")\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId\",\n \"int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。\",\n \"None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params):\",\n \"RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def\",\n \":param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type\",\n \"严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int\",\n \"\\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id:\",\n \"self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\"\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not\",\n \"结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1\",\n \"self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def\",\n \"str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"= None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId =\",\n \"DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime =\",\n \"str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。\",\n \"null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\")\",\n \"AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str\",\n \"= params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= [] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item)\",\n \":param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"% \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.ProfileType = None self.Product = None self.BindInstanceIds =\",\n \"\\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount:\",\n \"InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param\",\n \":type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount\",\n \"is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is\",\n \"\\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def\",\n \":type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param\",\n \"params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel):\",\n \"Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp = None def\",\n \"RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate:\",\n \"self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType\",\n \"= params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def\",\n \"self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\"))\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None\",\n \"诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \":param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries\",\n \"QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy:\",\n \"监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type\",\n \"self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for\",\n \"\\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def\",\n \":param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount:\",\n \"null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回\",\n \"= params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set =\",\n \"Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion:\",\n \"def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \":type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str\",\n \"None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None\",\n \"= params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime =\",\n \":class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"= [] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item)\",\n \":param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.Data = None self.RequestId = None def _deserialize(self, params): if\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。\",\n \"实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"= params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \":param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type\",\n \"for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount\",\n \"# you may not use this file except in compliance\",\n \"OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay\",\n \"= None self.SeriesData = None def _deserialize(self, params): self.TableSchema =\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName:\",\n \":type Vip: str :param Vport: 内网端口。 :type Vport: int :param\",\n \"\\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。\",\n \"for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp\",\n \"= None self.Stage = None self.Threads = None self.SqlExecId =\",\n \"WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`\",\n \"self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices\",\n \"ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays\",\n \"User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB:\",\n \"= MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体\",\n \"Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int\",\n \"异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str\",\n \"= params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime =\",\n \"of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost\",\n \":param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type\",\n \":param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"= params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric =\",\n \":param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId:\",\n \"SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \":param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10\",\n \"ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求\",\n \"for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId\",\n \"params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value\",\n \"任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list\",\n \"AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"_deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set =\",\n \"str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件\",\n \"最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int\",\n \"self.TotalCount = None self.Groups = None self.RequestId = None def\",\n \"= params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product =\",\n \"= None self.ProfileName = None def _deserialize(self, params): self.ProfileType =\",\n \"\\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData = None\",\n \"self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem()\",\n \"None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name,\",\n \"= params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int\",\n \"Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds\",\n \"- 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is\",\n \"= None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain =\",\n \"def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param\",\n \"Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime\",\n \"__init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param\",\n \"int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag\",\n \":type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\"\",\n \"= params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength =\",\n \"self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。\",\n \":type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"None self.Name = None self.MemberCount = None def _deserialize(self, params):\",\n \"= None self.Offset = None self.SchemaList = None self.Product =\",\n \"None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\")\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\"\",\n \":param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type\",\n \"异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int\",\n \"线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str\",\n \"[] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj)\",\n \"params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\")\",\n \"Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames:\",\n \"\\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime\",\n \"def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set\",\n \"is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys())\",\n \"of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime\",\n \"for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId\",\n \"None self.InstanceId = None self.Metric = None self.Region = None\",\n \"params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys())\",\n \"params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"\\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series:\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId =\",\n \":param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库\",\n \"= params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.Metric = None self.Count = None def _deserialize(self,\",\n \":param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \":class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host:\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId\",\n \"= None self.Md5 = None def _deserialize(self, params): self.LockTime =\",\n \"list of float \\\"\\\"\\\" self.Metric = None self.Unit = None\",\n \"self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows:\",\n \"params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for item in\",\n \"数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel:\",\n \"r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。\",\n \"_deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel):\",\n \"__init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio:\",\n \"self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def\",\n \":type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type\",\n \":type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。\",\n \"% \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity =\",\n \":param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float\",\n \"None self.Product = None self.Offset = None self.Limit = None\",\n \"语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration:\",\n \"子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str\",\n \"null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None\",\n \"None self.ScoreLost = None self.Metric = None self.Count = None\",\n \"not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj\",\n \"str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product:\",\n \"self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for\",\n \"\\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \":type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel\",\n \":type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None\",\n \"None self.EventId = None self.Explanation = None self.Outline = None\",\n \"LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int\",\n \":param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type\",\n \"self.DiagType = None self.EventId = None self.Explanation = None self.Outline\",\n \"int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。\",\n \"in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"params.get(\\\"Series\\\") is not None: self.Series = [] for item in\",\n \":param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId:\",\n \"UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count:\",\n \"self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj =\",\n \"Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount:\",\n \"def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param\",\n \"配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\")\",\n \"self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if\",\n \"__init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime:\",\n \"DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime:\",\n \"ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。\",\n \"StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product:\",\n \"None self.Vport = None self.Product = None self.EngineVersion = None\",\n \"= None self.Total = None self.AvailableDays = None self.RequestId =\",\n \"如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes =\",\n \"数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str\",\n \"= None self.Remain = None self.Total = None self.AvailableDays =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time = None\",\n \"not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj\",\n \"params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\")\",\n \"\\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。\",\n \"class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int\",\n \"ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries =\",\n \"self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not\",\n \":type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" -\",\n \":type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param\",\n \"= params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration()\",\n \"__init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names:\",\n \"= params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name,\",\n \"# -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL\",\n \"params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\")\",\n \"class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources =\",\n \"RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId\",\n \"self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit\",\n \"str :param Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\"\",\n \"params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\"\",\n \"RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg:\",\n \"Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int\",\n \"Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"\\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId = None\",\n \"= params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def\",\n \":param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type\",\n \"= params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\")\",\n \"self.UserHost = None self.Ratio = None self.Count = None def\",\n \"= None self.EndTime = None self.Product = None self.Md5 =\",\n \"if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for item\",\n \"{instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str\",\n \":param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type\",\n \":type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\"\",\n \"= None self.Name = None self.Mail = None def _deserialize(self,\",\n \"None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\")\",\n \"= None self.StartTime = None self.EndTime = None self.CreateTime =\",\n \"self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"self.TotalCount = None self.RequestId = None def _deserialize(self, params): if\",\n \"None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product =\",\n \"= params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def\",\n \"Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str\",\n \":type Status: str :param Progress: 任务执行进度。 :type Progress: int :param\",\n \"ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type\",\n \"int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType =\",\n \"HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\",\",\n \":type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param\",\n \"TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数\",\n \"= None self.EndTime = None self.Product = None def _deserialize(self,\",\n \":type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param\",\n \"int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int\",\n \"开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type\",\n \"in compliance with the License. # You may obtain a\",\n \"def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel):\",\n \"params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value\",\n \"def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId\",\n \":param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product\",\n \"self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体\",\n \"of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" -\",\n \":param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回\",\n \"= None self.DbScanStatus = None self.Items = None self.RequestId =\",\n \"params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value\",\n \"params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\")\",\n \"表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str\",\n \"联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str\",\n \"params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries\",\n \"= None self.MailConfiguration = None def _deserialize(self, params): self.Language =\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def\",\n \"Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion:\",\n \"params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\")\",\n \"_deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs()\",\n \"EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo:\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\")\",\n \":type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None\",\n \"StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param\",\n \"StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。\",\n \"r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param\",\n \"平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float\",\n \"params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"with the License. # You may obtain a copy of\",\n \"MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0,\",\n \"AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"= params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo()\",\n \"Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays:\",\n \":param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库\",\n \"SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId\",\n \"str \\\"\\\"\\\" self.Id = None self.RequestId = None def _deserialize(self,\",\n \"params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"= None self.ScoreLost = None def _deserialize(self, params): self.DiagItem =\",\n \"is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"):\",\n \":param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type\",\n \"= None self.ID = None self.User = None self.Host =\",\n \"self.Source = None self.Progress = None self.CreateTime = None self.StartTime\",\n \"- 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels:\",\n \"配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product:\",\n \":param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount:\",\n \"None self.SqlText = None self.Schema = None self.QueryTimeRatio = None\",\n \"params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value\",\n \"定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str :param HealthLevels:\",\n \"InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime:\",\n \":param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type\",\n \"ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list\",\n \"except in compliance with the License. # You may obtain\",\n \"= None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin =\",\n \"\\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID:\",\n \"float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数\",\n \"组id。 :type Id: int :param Name: 组名称。 :type Name: str\",\n \"None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None\",\n \"self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product\",\n \"str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。\",\n \"None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\")\",\n \"def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product\",\n \"params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for item in\",\n \"self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\") is not\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus()\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User\",\n \"params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\")\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See\",\n \":param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str\",\n \"str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" -\",\n \"实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT：\",\n \":param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None\",\n \"int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson:\",\n \"None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None\",\n \"= ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType\",\n \"obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source\",\n \"self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def\",\n \"None self.Cost = None self.RequestId = None def _deserialize(self, params):\",\n \"None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\"\",\n \"[] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj)\",\n \"value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set)\",\n \"= None self.EndDate = None self.Product = None def _deserialize(self,\",\n \"int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒\",\n \"if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId\",\n \"实例 ID 。 :type InstanceId: str :param EventId: 事件 ID\",\n \"self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name,\",\n \"params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def\",\n \"% \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type\",\n \"= None self.SqlTemplate = None self.SqlText = None self.Schema =\",\n \"= [] for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item)\",\n \"Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema:\",\n \"None self.Offset = None self.SchemaList = None self.Product = None\",\n \"= params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"None self.Time = None self.Info = None def _deserialize(self, params):\",\n \"- 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。\",\n \"\\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \":param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type\",\n \"int \\\"\\\"\\\" self.Count = None self.Timestamp = None def _deserialize(self,\",\n \"params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for item in\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。\",\n \"该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int\",\n \"self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime\",\n \"params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"= params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int\",\n \"= None self.Progress = None self.LogStartTime = None self.LogEndTime =\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads =\",\n \"12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads\",\n \"IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events:\",\n \"def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool\",\n \"= params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for\",\n \":type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of\",\n \"self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema\",\n \"self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体\",\n \"= None self.Metric = None self.Region = None def _deserialize(self,\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None\",\n \"= params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus =\",\n \"% \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \":type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks:\",\n \"FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows:\",\n \"None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is\",\n \"= params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate =\",\n \"obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel):\",\n \"DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"% \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source\",\n \"= params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events = []\",\n \"= params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson =\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product\",\n \"接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \":type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\")\",\n \"None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\")\",\n \"= ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\"\",\n \"= None self.InstanceName = None self.Region = None self.HealthScore =\",\n \"not None: self.Groups = [] for item in params.get(\\\"Groups\\\"): obj\",\n \"__init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId = None def\",\n \"= None self.EndTime = None self.CreateTime = None self.Status =\",\n \"= None self.Count = None def _deserialize(self, params): self.UserHost =\",\n \"= params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name,\",\n \"obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def\",\n \":type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param\",\n \"self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId =\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type\",\n \"= params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name,\",\n \"self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj = ContactItem()\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel):\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\"\",\n \"None self.EventCount = None self.InstanceType = None self.Cpu = None\",\n \"params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。\",\n \"None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys())\",\n \"None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId\",\n \":type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param\",\n \"= None self.ContactGroup = None self.Product = None def _deserialize(self,\",\n \"def _deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo\",\n \"RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax:\",\n \"params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is\",\n \":param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type\",\n \"TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows:\",\n \"self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime\",\n \"配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type\",\n \"params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp =\",\n \"self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for\",\n \"self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \":param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"None self.Cpu = None self.Memory = None self.Volume = None\",\n \"= params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def\",\n \"self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem\",\n \"= None self.User = None self.Host = None self.DB =\",\n \"params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\")\",\n \"self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit\",\n \"by applicable law or agreed to in writing, software #\",\n \"= None self.Offset = None self.Limit = None def _deserialize(self,\",\n \"params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item\",\n \":type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId:\",\n \"params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\")\",\n \"单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu\",\n \"ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel =\",\n \"\\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\",\",\n \"服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId\",\n \"self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId\",\n \"Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product\",\n \"self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText\",\n \"self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in\",\n \"总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float\",\n \"in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength\",\n \"class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求\",\n \"item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体\",\n \"健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str\",\n \"self.DbScanStatus = None self.Items = None self.RequestId = None def\",\n \":param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None\",\n \":param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region:\",\n \"None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\")\",\n \"self.EventId = None self.Severity = None self.Outline = None self.DiagItem\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList =\",\n \"params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"= None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\")\",\n \"self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus\",\n \"applicable law or agreed to in writing, software # distributed\",\n \"self.Time = None self.Info = None self.Limit = None self.Product\",\n \"\\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList:\",\n \"= params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None:\",\n \"Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime:\",\n \"self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId\",\n \"\\\"\\\"\\\" self.Series = None self.Timestamp = None def _deserialize(self, params):\",\n \"None self.EndTime = None self.Product = None def _deserialize(self, params):\",\n \"self.AsyncRequestIds = None self.Offset = None self.Limit = None def\",\n \"self.Metric = None self.EndTime = None self.RequestId = None def\",\n \"utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a\",\n \"self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus\",\n \"None self.DiagType = None self.StartTime = None self.EndTime = None\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def\",\n \"None self.Limit = None self.Offset = None self.SchemaList = None\",\n \"扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str\",\n \"分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int\",\n \"TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events\",\n \"= params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = []\",\n \"DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime:\",\n \"params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\")\",\n \"TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0\",\n \"\\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product = None\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"None self.EndTime = None self.StartTime = None self.EventId = None\",\n \"self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy =\",\n \"返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type\",\n \"= params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp\",\n \"= None self.Limit = None self.InstanceNames = None self.InstanceIds =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel):\",\n \"params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\")\",\n \"None self.Metric = None self.Region = None def _deserialize(self, params):\",\n \"= [] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item)\",\n \":param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type\",\n \"str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId =\",\n \"item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId =\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\")\",\n \"def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds\",\n \"int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。\",\n \":type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param\",\n \"def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param\",\n \"self.Vip = None self.Vport = None self.Product = None self.EngineVersion\",\n \"= params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg =\",\n \"= None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId =\",\n \"= None self.Cost = None self.RequestId = None def _deserialize(self,\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel):\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。\",\n \"None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\")\",\n \":type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None\",\n \"单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData =\",\n \"RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes:\",\n \"= None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus =\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads\",\n \"内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str\",\n \"self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set\",\n \"self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel\",\n \"null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" -\",\n \"item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set =\",\n \"str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。\",\n \"= params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName =\",\n \"str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\"\",\n \"ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体\",\n \"None self.Outline = None self.DiagItem = None self.InstanceId = None\",\n \"params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData\",\n \"self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay\",\n \"params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for item in\",\n \"= params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type\",\n \"params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\")\",\n \"if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName\",\n \"\\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"= params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId =\",\n \"诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str\",\n \"= None self.Ratio = None self.Count = None def _deserialize(self,\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str\",\n \"self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId\",\n \"params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\")\",\n \"= None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product =\",\n \"否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type\",\n \"self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product =\",\n \"None: self.Events = [] for item in params.get(\\\"Events\\\"): obj =\",\n \"int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\"\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int\",\n \"\\\"License\\\"); # you may not use this file except in\",\n \"Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type\",\n \"ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。\",\n \":type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries =\",\n \"None: self.Rows = [] for item in params.get(\\\"Rows\\\"): obj =\",\n \"- 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost:\",\n \"任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str\",\n \"= params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = []\",\n \"\\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId:\",\n \"= None self.ScoreLost = None self.Metric = None self.Count =\",\n \"__init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\"\",\n \"self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in\",\n \"self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit:\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts:\",\n \"None self.ProfileName = None self.BindInstanceId = None self.Product = None\",\n \"not None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel):\",\n \"str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str\",\n \"= params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set =\",\n \"Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds\",\n \"self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax\",\n \"None self.Time = None self.Info = None self.Limit = None\",\n \"= None self.Count = None self.ScoreLost = None def _deserialize(self,\",\n \"% \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"None self.Engine = None self.SeriesData = None def _deserialize(self, params):\",\n \":type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength\",\n \"- 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。\",\n \"is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\")\",\n \"IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax:\",\n \"str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name =\",\n \"def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product\",\n \"def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of\",\n \"= None self.EventId = None self.Product = None def _deserialize(self,\",\n \"= params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\")\",\n \"= params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name,\",\n \"= None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio =\",\n \"self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent\",\n \":type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId\",\n \"= params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport =\",\n \"self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not\",\n \"% \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None\",\n \":type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product:\",\n \"params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\"))\",\n \"偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int\",\n \"= None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self,\",\n \"= None self.Engine = None self.SeriesData = None def _deserialize(self,\",\n \"self.InstanceId = None self.AsyncRequestId = None self.Product = None def\",\n \"= params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count =\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not\",\n \"self.Events = [] for item in params.get(\\\"Events\\\"): obj = EventInfo()\",\n \"云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds\",\n \"None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体\",\n \"DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def\",\n \"str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self,\",\n \"IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。\",\n \"is not None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"):\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product\",\n \"\\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:\",\n \"AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"\\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product = None\",\n \"采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"= [] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item)\",\n \"def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId =\",\n \"None self.TimeSeries = None self.SeriesData = None self.RequestId = None\",\n \"None self.DeployMode = None self.InitFlag = None self.TaskStatus = None\",\n \"RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None def\",\n \":param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None\",\n \"返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\"\",\n \"私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs`\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit:\",\n \"self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for\",\n \"EndTime: str :param Outline: 概要。 :type Outline: str :param Severity:\",\n \"\\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。\",\n \"int \\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus =\",\n \"[] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj)\",\n \"任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str\",\n \"= None self.TableSchema = None self.Engine = None self.SeriesData =\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID =\",\n \"[] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj)\",\n \"None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据\",\n \"self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str\",\n \"int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。\",\n \"手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" -\",\n \"None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \":param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。\",\n \"= params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def\",\n \"Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain:\",\n \"self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio\",\n \"params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys())\",\n \"params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\")\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region\",\n \"null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str\",\n \"self.Count = None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType\",\n \"None self.ScoreLost = None self.ScoreLostMax = None self.Items = None\",\n \"InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param\",\n \"= None self.HealthScore = None self.HealthLevel = None def _deserialize(self,\",\n \":type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param\",\n \"str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime:\",\n \"self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def\",\n \"= None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails =\",\n \":param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type\",\n \"[] for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj)\",\n \"\\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str\",\n \":type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param\",\n \"ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。\",\n \":type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime:\",\n \"= params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\")\",\n \"\\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\")\",\n \"\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param\",\n \"self.Tasks = None self.TotalCount = None self.RequestId = None def\",\n \"None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def\",\n \":type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\")\",\n \"params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\")\",\n \"Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments:\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \":param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\"\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type\",\n \":param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime:\",\n \"AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int\",\n \"ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product:\",\n \"= None self.EventId = None self.Explanation = None self.Outline =\",\n \"class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。\",\n \"SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus:\",\n \"最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int\",\n \"str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays\",\n \"None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\")\",\n \"HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。\",\n \"None self.Regions = None self.Product = None self.InstanceIds = None\",\n \"def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset\",\n \"Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product:\",\n \"self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime\",\n \"MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def\",\n \":type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"\\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus = None\",\n \"= None self.DataLength = None self.IndexLength = None self.DataFree =\",\n \"params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name,\",\n \"= [] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item)\",\n \"you may not use this file except in compliance with\",\n \"DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" -\",\n \"- 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括：\",\n \":type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime:\",\n \":class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None def _deserialize(self,\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 =\",\n \"class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。\",\n \"\\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:\",\n \"str \\\"\\\"\\\" self.Growth = None self.Remain = None self.Total =\",\n \":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type\",\n \"InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime:\",\n \"self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo\",\n \"扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int\",\n \"int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of\",\n \"in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \"返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"__init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type\",\n \":param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回\",\n \"of int \\\"\\\"\\\" self.Series = None self.Timestamp = None def\",\n \":type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param\",\n \"__init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list\",\n \"= None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set =\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param\",\n \":type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def\",\n \":type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param\",\n \"= None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema =\",\n \"MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type\",\n \"Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。\",\n \"self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax\",\n \"\\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"company. All Rights Reserved. # # Licensed under the Apache\",\n \"None self.Count = None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\")\",\n \"Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume:\",\n \"None self.Limit = None self.ProfileName = None def _deserialize(self, params):\",\n \"= params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name,\",\n \"is not None: self.Rows = [] for item in params.get(\\\"Rows\\\"):\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def\",\n \"self.EngineVersion = None self.Vip = None self.Vport = None self.Source\",\n \"取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type\",\n \"开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中；\",\n \"ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup:\",\n \"None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo\",\n \"int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。\",\n \"。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type\",\n \"执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str\",\n \"params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for\",\n \"self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"- 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1\",\n \"= None self.Outline = None self.Severity = None self.ScoreLost =\",\n \"= params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"\\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel):\",\n \"for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId\",\n \"TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type\",\n \":param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp:\",\n \":type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId:\",\n \"云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId =\",\n \":param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type\",\n \"params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\")\",\n \"InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy:\",\n \":param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type\",\n \"StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param\",\n \"SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema:\",\n \"str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of\",\n \"self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not\",\n \"item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit =\",\n \"params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is\",\n \"params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\")\",\n \"\\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads:\",\n \"RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData\",\n \"% \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime\",\n \"TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine:\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param\",\n \"= None self.DiagItem = None self.InstanceId = None self.Metric =\",\n \"AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\"\",\n \":type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param\",\n \"file except in compliance with the License. # You may\",\n \"params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName =\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions:\",\n \"params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value\",\n \":type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type\",\n \"AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\"\",\n \"TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求\",\n \":param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None\",\n \"GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type\",\n \"= None self.SqlText = None self.Schema = None self.Tables =\",\n \"self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for\",\n \"self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel):\",\n \"str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self,\",\n \"params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration:\",\n \"in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is\",\n \":param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type\",\n \":param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type\",\n \"self.StartTime = None self.EndTime = None self.Outline = None self.Severity\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId:\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels =\",\n \":type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param\",\n \"self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema\",\n \":type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"= None self.Product = None self.AsyncRequestIds = None self.Offset =\",\n \"int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName =\",\n \"params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\")\",\n \"list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None\",\n \"单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\"\",\n \"self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in\",\n \":param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\"\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel):\",\n \"params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \":type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of\",\n \"self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\")\",\n \"_deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = []\",\n \"InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User:\",\n \"str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括：\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product =\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items = None\",\n \":param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type\",\n \"params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\")\",\n \"= params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in\",\n \"None self.SeriesData = None self.RequestId = None def _deserialize(self, params):\",\n \"MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds =\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit:\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID\",\n \"import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\"\",\n \"% \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None\",\n \"self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin\",\n \"= None self.ScoreLostMax = None self.Items = None def _deserialize(self,\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime =\",\n \":type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of\",\n \"开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str\",\n \":type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType = None\",\n \"= params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info =\",\n \"= params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name,\",\n \"导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回\",\n \"% \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type\",\n \"= None self.Groups = None self.RequestId = None def _deserialize(self,\",\n \"= None self.CreateTime = None self.StartTime = None self.EndTime =\",\n \"TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData:\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5:\",\n \"_deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def\",\n \"params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\")\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self):\",\n \":type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product\",\n \"params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for item in\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型）\",\n \"相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str\",\n \"\\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id:\",\n \"params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\")\",\n \":param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product:\",\n \"params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value\",\n \"= None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Advices =\",\n \"__init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime:\",\n \"self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth\",\n \"User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB:\",\n \"self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId\",\n \"params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime:\",\n \"= MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys())\",\n \"EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str\",\n \"InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus =\",\n \":param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。\",\n \":type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" -\",\n \"str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"None self.DbScanStatus = None self.Items = None self.RequestId = None\",\n \"def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int\",\n \"list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"\",\n \"SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param\",\n \"self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore\",\n \"InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu:\",\n \":type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize:\",\n \":param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括：\",\n \"\\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema:\",\n \"获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\")\",\n \"\\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema:\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\")\",\n \"= params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set =\",\n \":type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str\",\n \"= params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin =\",\n \"obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel):\",\n \"= params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit\",\n \"Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName:\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\")\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product:\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId =\",\n \"def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime\",\n \"InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported:\",\n \"self.EndTime = None self.CreateTime = None self.Status = None self.Progress\",\n \"_deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def\",\n \"class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。\",\n \"InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore:\",\n \"self.InstanceNames = None self.InstanceIds = None self.Regions = None def\",\n \"self.InstanceName = None self.Region = None self.HealthScore = None self.Product\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl =\",\n \":type Severity: int :param Outline: 诊断概要。 :type Outline: str :param\",\n \"self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str\",\n \"= None self.DataFree = None self.TotalLength = None self.FragRatio =\",\n \":param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId:\",\n \":param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type\",\n \":param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type\",\n \":param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel):\",\n \"int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。\",\n \"kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。\",\n \":type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def\",\n \":type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime = None\",\n \"= None self.Product = None def _deserialize(self, params): self.SecAuditGroupId =\",\n \"self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\")\",\n \"Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"\\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId:\",\n \"监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type\",\n \":param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type\",\n \"int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem =\",\n \"健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int\",\n \"添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys())\",\n \"_deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds =\",\n \"self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for\",\n \"DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type\",\n \"class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数\",\n \":param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list\",\n \"self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail()\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float\",\n \"\\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength = None\",\n \"= params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source =\",\n \"self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def\",\n \":type TotalCount: int :param Rows: 慢日志 top sql 列表 :type\",\n \"None self.InstanceName = None self.Vip = None self.Vport = None\",\n \"self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType\",\n \"self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \"UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回\",\n \"self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree\",\n \"None self.State = None self.Command = None self.Time = None\",\n \"DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"[] for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj)\",\n \"ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type\",\n \"_deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = []\",\n \"DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType:\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType =\",\n \"= params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag =\",\n \"事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type\",\n \"= params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions =\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\")\",\n \"= params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name,\",\n \"self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\"\",\n \"= None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax =\",\n \"扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType\",\n \"self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries()\",\n \"r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。\",\n \"self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin\",\n \"异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param\",\n \"IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \":type Host: str :param DB: 线程的操作数据库。 :type DB: str :param\",\n \":type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId = None\",\n \"str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。\",\n \"SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema:\",\n \"CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\")\",\n \"None self.Region = None self.HealthScore = None self.Product = None\",\n \"= params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion =\",\n \"sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float\",\n \"params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\")\",\n \":param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\"\",\n \"= None self.Info = None def _deserialize(self, params): self.ID =\",\n \"慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param\",\n \"params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\")\",\n \"EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 -\",\n \"IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost:\",\n \"AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus:\",\n \"CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type\",\n \"TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes\",\n \"self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"None self.Region = None self.HealthStatus = None self.ContactPerson = None\",\n \"License. # You may obtain a copy of the License\",\n \"__init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain:\",\n \"\\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl:\",\n \"self.InstanceId = None self.ID = None self.User = None self.Host\",\n \"诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type\",\n \"None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None\",\n \":type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。\",\n \"self.User = None self.Host = None self.DB = None self.State\",\n \"params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value\",\n \"self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime\",\n \"the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel):\",\n \"EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel:\",\n \"params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"= None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore =\",\n \"self.Groups = [] for item in params.get(\\\"Groups\\\"): obj = GroupItem()\",\n \"= params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None:\",\n \"定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type\",\n \"None self.EndTime = None self.CreateTime = None self.Status = None\",\n \"= None self.CreateTime = None self.Status = None self.Progress =\",\n \"None self.StartDate = None self.EndDate = None self.Product = None\",\n \"class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self):\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None\",\n \"str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def\",\n \"= params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"= params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。\",\n \":type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。\",\n \"None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int\",\n \"self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection\",\n \":param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type\",\n \"__init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值：\",\n \"self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg\",\n \":param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type\",\n \"self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if\",\n \":type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime:\",\n \"def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def\",\n \"\\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId = None\",\n \"Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText:\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId:\",\n \"邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self):\",\n \"None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is\",\n \":param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel):\",\n \":type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of\",\n \"Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit:\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \":type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \"诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str\",\n \":type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param\",\n \"params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\")\",\n \"required by applicable law or agreed to in writing, software\",\n \"= None self.SqlExecId = None self.RequestId = None def _deserialize(self,\",\n \"= None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName =\",\n \"BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID = None\",\n \"self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus\",\n \"self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if\",\n \"= [] for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item)\",\n \":param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type\",\n \"def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries =\",\n \"OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit:\",\n \"\\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries:\",\n \"RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def\",\n \"AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库\",\n \"agreed to in writing, software # distributed under the License\",\n \"Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for\",\n \"\\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product = None\",\n \":type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None\",\n \":param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\",\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups\",\n \"for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount\",\n \"for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds:\",\n \"null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3\",\n \"配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None\",\n \"r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int\",\n \"导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups = []\",\n \"= params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset =\",\n \"None self.Schema = None self.Tables = None self.SqlPlan = None\",\n \"None self.Progress = None self.CreateTime = None self.StartTime = None\",\n \"= None self.InstanceId = None self.Metric = None self.Region =\",\n \"params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info:\",\n \"\\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。\",\n \"obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set =\",\n \"\\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth:\",\n \"= params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined =\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self):\",\n \":type HealthScore: int :param Product: 所属产品。 :type Product: str :param\",\n \"\\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is\",\n \"params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\")\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID:\",\n \"params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo\",\n \"None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\")\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema =\",\n \"DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo\",\n \"Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。\",\n \"库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None\",\n \":param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize:\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId = None\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。\",\n \"r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。\",\n \"RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime:\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId =\",\n \"开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str\",\n \":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10\",\n \"params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def\",\n \"params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求\",\n \"self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost\",\n \"in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \":type Product: str :param Offset: 分页偏移量。 :type Offset: int :param\",\n \"= params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set =\",\n \"ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit:\",\n \"self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId\",\n \"Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\"\",\n \":param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type\",\n \"class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。\",\n \"class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。\",\n \"None self.EndTime = None self.RequestId = None def _deserialize(self, params):\",\n \"__init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorMetric\",\n \"\\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product:\",\n \"str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime\",\n \":param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set =\",\n \":param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem\",\n \":param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type\",\n \"内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\"\",\n \":type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None\",\n \"not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj\",\n \"self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"= None self.GroupId = None self.GroupName = None self.Status =\",\n \":param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type\",\n \"in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。\",\n \"may not use this file except in compliance with the\",\n \"self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State\",\n \"None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name,\",\n \"% \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType:\",\n \"= params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity\",\n \"Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime:\",\n \"QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax:\",\n \":param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type\",\n \"def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength\",\n \"# # Licensed under the Apache License, Version 2.0 (the\",\n \"% \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.InstanceType = None self.Cpu = None self.Memory =\",\n \"= params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None:\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Growth =\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels\",\n \"self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions\",\n \"线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。\",\n \"self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。\",\n \"Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str\",\n \"of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in\",\n \"= None self.Product = None self.Offset = None self.Limit =\",\n \"平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product\",\n \":type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime:\",\n \":param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy:\",\n \":type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param\",\n \":param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup:\",\n \"self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if\",\n \"r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。\",\n \"None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel):\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit\",\n \"set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"% \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None\",\n \"None self.CreateTime = None self.StartTime = None self.EndTime = None\",\n \"None self.Time = None self.Product = None def _deserialize(self, params):\",\n \"云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str\",\n \"obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId =\",\n \":param Rows: 慢日志 top sql 列表 :type Rows: list of\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region =\",\n \"ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items:\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls =\",\n \"of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \":type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param\",\n \"None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None\",\n \"self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport\",\n \"r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。\",\n \"ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\"\",\n \"params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value\",\n \"params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId\",\n \"self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId\",\n \"# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company.\",\n \"str :param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType =\",\n \"健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int\",\n \"self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax\",\n \"0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson:\",\n \"self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio\",\n \"Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float\",\n \"if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId\",\n \"null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio\",\n \"= None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None:\",\n \"MemberCount: int \\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit:\",\n \":param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type\",\n \"None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\")\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def\",\n \"SqlText: str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId\",\n \"__init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId:\",\n \":param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None\",\n \"self.Unit = None self.Values = None def _deserialize(self, params): self.Metric\",\n \"self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not\",\n \":type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def\",\n \"self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product\",\n \"\\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads = None\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type\",\n \"[] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj)\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str\",\n \"__init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId:\",\n \"str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。\",\n \":type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param\",\n \"_deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product =\",\n \"实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def\",\n \"= params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def\",\n \"= params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set =\",\n \"ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText:\",\n \":type Time: str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\"\",\n \"= params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds =\",\n \":param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"None def _deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data\",\n \"是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param\",\n \"= params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items = []\",\n \"self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin\",\n \"params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\")\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def\",\n \"= params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status =\",\n \"None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None\",\n \":type RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params):\",\n \"self.TotalCount = None self.Items = None self.RequestId = None def\",\n \"params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \":type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"in writing, software # distributed under the License is distributed\",\n \"self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost\",\n \"= params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set =\",\n \"= None self.Vport = None self.Source = None self.GroupId =\",\n \":type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize:\",\n \"self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType\",\n \":param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type\",\n \"str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。\",\n \"\\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type\",\n \"None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\")\",\n \"params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self):\",\n \"float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。\",\n \"params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys())\",\n \"r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId =\",\n \":param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type\",\n \"self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId\",\n \":type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain = None\",\n \"null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric = None\",\n \"ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit:\",\n \"None self.Metric = None self.Count = None def _deserialize(self, params):\",\n \"IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count:\",\n \"= ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product\",\n \"__init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType:\",\n \"__init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param TableSchema:\",\n \"ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type\",\n \"IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo\",\n \"CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体\",\n \"class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。\",\n \"params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\")\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore\",\n \"高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\"\",\n \"self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \":param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self):\",\n \"= None self.Explanation = None self.Outline = None self.Problem =\",\n \"DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId:\",\n \"= None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus =\",\n \"params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric:\",\n \"self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def\",\n \"self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name\",\n \"None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None\",\n \":param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type\",\n \"ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\"\",\n \":param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None\",\n \"str \\\"\\\"\\\" self.Product = None self.Names = None def _deserialize(self,\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param\",\n \"该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int\",\n \"self.Time = None self.Info = None def _deserialize(self, params): self.ID\",\n \"None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy\",\n \"None self.EndDate = None self.Product = None def _deserialize(self, params):\",\n \"self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData\",\n \"params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"= params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \":param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None\",\n \"self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText\",\n \"params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\")\",\n \"LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str\",\n \"r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param\",\n \"\\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy = None\",\n \"if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set\",\n \"Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"# Unless required by applicable law or agreed to in\",\n \"RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId\",\n \"Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None self.Name\",\n \"str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。\",\n \"params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"= None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId =\",\n \":param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType:\",\n \"InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" -\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\"\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel):\",\n \"= None self.EndTime = None self.InstanceIds = None self.Sources =\",\n \"self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel):\",\n \"= None self.ExecTimes = None self.SqlTemplate = None self.SqlText =\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType\",\n \"params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys())\",\n \"ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\"\",\n \"None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"= params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId =\",\n \"QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax:\",\n \"self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds\",\n \"= params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj =\",\n \"[] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj)\",\n \"class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"= None self.ContactPerson = None self.ContactGroup = None self.Product =\",\n \"未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。\",\n \"params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys())\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items\",\n \":param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type\",\n \":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param\",\n \"\\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \":param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type\",\n \"诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str\",\n \"float \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine =\",\n \"\\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl:\",\n \"None self.AvailableDays = None self.RequestId = None def _deserialize(self, params):\",\n \"int \\\"\\\"\\\" self.Series = None self.Timestamp = None def _deserialize(self,\",\n \"float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数\",\n \"params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\")\",\n \"None self.StartTime = None self.EndTime = None self.Product = None\",\n \"of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime\",\n \":param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param\",\n \":type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups:\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Urls =\",\n \"self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id\",\n \"= None self.Comments = None self.SqlText = None self.Schema =\",\n \"__init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData\",\n \"r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay:\",\n \"安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime:\",\n \"\\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。\",\n \"r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。\",\n \"self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree\",\n \"params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\")\",\n \"if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for item\",\n \"Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel:\",\n \"实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回\",\n \"\\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def\",\n \"None self.Product = None self.DangerLevels = None def _deserialize(self, params):\",\n \"None self.Ratio = None self.Count = None def _deserialize(self, params):\",\n \"self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric()\",\n \"None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体\",\n \"obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId =\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema =\",\n \"HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product:\",\n \"_deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values =\",\n \"Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId =\",\n \"= None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None:\",\n \"InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus:\",\n \"null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product\",\n \"None self.OrderBy = None self.Limit = None self.Offset = None\",\n \"item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId =\",\n \"TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask\",\n \"\\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric:\",\n \"= None self.EndTime = None self.SendMailFlag = None self.ContactPerson =\",\n \"= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds =\",\n \"paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName\",\n \"int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。\",\n \"\\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId:\",\n \":param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str\",\n \"\\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables:\",\n \"str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。\",\n \"in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys())\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def\",\n \"DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type\",\n \"self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem\",\n \"str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。\",\n \":param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type\",\n \"报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type\",\n \"self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin\",\n \"in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" %\",\n \"self.InstanceType = None self.Cpu = None self.Memory = None self.Volume\",\n \":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11\",\n \":param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type\",\n \"list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs`\",\n \"self.TaskStatuses = None self.Offset = None self.Limit = None self.Product\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported:\",\n \"危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel):\",\n \"None self.TableSchema = None self.Engine = None self.SeriesData = None\",\n \"DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"= params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg =\",\n \"InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema:\",\n \"DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。\",\n \"None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\")\",\n \"params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体\",\n \"self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count\",\n \"- 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int\",\n \"class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10\",\n \"Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str\",\n \":type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param\",\n \"InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product:\",\n \"MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type\",\n \"SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema:\",\n \"params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type\",\n \"self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio\",\n \"params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for\",\n \"params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\")\",\n \"实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str\",\n \"= params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product =\",\n \"DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported:\",\n \"\\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema:\",\n \":type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param\",\n \"AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus:\",\n \"ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType:\",\n \"\\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self):\",\n \"str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type\",\n \"self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset\",\n \":type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\"\",\n \"self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate\",\n \"DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type\",\n \"obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel):\",\n \"None self.StartTime = None self.EndTime = None self.InstanceInfo = None\",\n \"obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name,\",\n \"def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax\",\n \":type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None\",\n \"\\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList:\",\n \"obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel):\",\n \"\\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params):\",\n \"\\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否;\",\n \"LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel):\",\n \"def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"self.Items = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost\",\n \"= params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name,\",\n \"for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp\",\n \"TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items:\",\n \"r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime:\",\n \"CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type\",\n \"= params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName =\",\n \"class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。\",\n \"DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int\",\n \":param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type\",\n \"int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str\",\n \"is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys())\",\n \"= None self.EndTime = None self.Outline = None self.Severity =\",\n \"实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId =\",\n \"def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs =\",\n \"self.Regions = None self.Product = None self.InstanceIds = None def\",\n \"self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for\",\n \"SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str\",\n \"\\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson:\",\n \"str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId =\",\n \"Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime:\",\n \"self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体\",\n \"Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType\",\n \":type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param\",\n \"- 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime =\",\n \"\\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel):\",\n \"结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str\",\n \"% \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"Count: int \\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime\",\n \":param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type\",\n \"params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\")\",\n \"params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"None self.Contacts = None self.RequestId = None def _deserialize(self, params):\",\n \"= params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name,\",\n \"None self.Source = None self.GroupId = None self.GroupName = None\",\n \"r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。\",\n \"is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"None self.Limit = None self.InstanceNames = None self.InstanceIds = None\",\n \"CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type\",\n \"item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount =\",\n \"int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param\",\n \"list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of\",\n \":type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\"\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param\",\n \"Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads:\",\n \"class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。\",\n \"= None self.Severity = None self.ScoreLost = None self.Metric =\",\n \"str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。\",\n \"\\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes:\",\n \"not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj =\",\n \"Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product\",\n \"params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\")\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product =\",\n \"DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus:\",\n \"= params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name,\",\n \"返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type\",\n \"self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set\",\n \"TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema\",\n \"str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative\",\n \"is not None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"):\",\n \"高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int\",\n \":param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId =\",\n \"params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts =\",\n \"int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count =\",\n \"params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。\",\n \"Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name,\",\n \"list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param\",\n \":param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体\",\n \":param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type\",\n \"- 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\"\",\n \"% \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"not None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj\",\n \"params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys())\",\n \"def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级,\",\n \"__init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param\",\n \"- 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds:\",\n \"str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。\",\n \"_deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength =\",\n \"params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。\",\n \"实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\"\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText:\",\n \"self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product:\",\n \"str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId =\",\n \"线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\")\",\n \"TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" -\",\n \"self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric\",\n \"self.Threads = None self.SqlExecId = None self.Product = None def\",\n \"= None self.Outline = None self.DiagItem = None self.InstanceId =\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId =\",\n \"None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\")\",\n \"item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId =\",\n \"总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int\",\n \"obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel):\",\n \"MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list\",\n \"None self.Host = None self.DB = None self.State = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。\",\n \"params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\")\",\n \"class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。\",\n \"if params.get(\\\"Series\\\") is not None: self.Series = [] for item\",\n \"扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio:\",\n \"bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\"\",\n \"float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。\",\n \"配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" -\",\n \"None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \"params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\"))\",\n \"= params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds =\",\n \"self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail\",\n \"ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" -\",\n \":type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"= params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float\",\n \"= params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name,\",\n \":param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID\",\n \"% \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\")\",\n \"None self.Offset = None self.Limit = None def _deserialize(self, params):\",\n \"None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries\",\n \"Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\",\",\n \"str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str\",\n \"None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\")\",\n \"EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。\",\n \"% \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value\",\n \"of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax\",\n \"self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" +\",\n \"= params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip =\",\n \"self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime\",\n \"= None self.Threads = None self.SqlExecId = None self.Product =\",\n \":param Id: 组id。 :type Id: int :param Name: 组名称。 :type\",\n \"Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId:\",\n \"self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime\",\n \"_deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks = []\",\n \"ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit = None\",\n \"r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。\",\n \"r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type\",\n \"self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName\",\n \"LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。\",\n \"DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\"\",\n \"\\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices:\",\n \"params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float\",\n \"\\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str :param\",\n \"= None self.SortBy = None self.OrderBy = None self.Limit =\",\n \"None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\")\",\n \"EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"= params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree =\",\n \":type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None\",\n \"\\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None\",\n \"= None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\")\",\n \"params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\")\",\n \"Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \":type State: str :param Command: 线程的执行类型。 :type Command: str :param\",\n \"- 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\"\",\n \"= params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime\",\n \"% \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\")\",\n \"实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal：\",\n \"总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float\",\n \"None self.SortBy = None self.Product = None def _deserialize(self, params):\",\n \"str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。\",\n \"class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言,\",\n \"如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration`\",\n \"\\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"_deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None:\",\n \"self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip\",\n \"is not None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"):\",\n \"self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin\",\n \"= params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。\",\n \"in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"= params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric =\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus:\",\n \":type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例\",\n \"class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。\",\n \"cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int\",\n \"QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent:\",\n \"ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host:\",\n \"params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf\",\n \"self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\")\",\n \"Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\"\",\n \"= None self.InstanceConf = None self.DeadlineTime = None self.IsSupported =\",\n \"str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括：\",\n \"ID: str :param User: 线程的操作账号名。 :type User: str :param Host:\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel):\",\n \"= [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item)\",\n \"\\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None\",\n \"None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None\",\n \"self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo\",\n \"SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。\",\n \":param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int\",\n \"params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for\",\n \"params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\")\",\n \"str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。\",\n \"安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list\",\n \"= params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup =\",\n \"__init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId:\",\n \":param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product =\",\n \"MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type\",\n \"self.Offset = None self.SchemaList = None self.Product = None def\",\n \"str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId =\",\n \"= TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体\",\n \"self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries =\",\n \"None self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str\",\n \"StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。\",\n \"\\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type\",\n \"self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params):\",\n \"QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体\",\n \"name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if\",\n \"= None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId =\",\n \"= None self.ExpireTime = None self.RequestId = None def _deserialize(self,\",\n \"任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus`\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items =\",\n \":param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param\",\n \"self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows = []\",\n \"self.Limit = None self.Offset = None self.SchemaList = None self.Product\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups = None\",\n \"\\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None\",\n \"Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost:\",\n \"\\\"\\\"\\\" self.Language = None self.MailConfiguration = None def _deserialize(self, params):\",\n \"线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str\",\n \"int \\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount =\",\n \"\\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount:\",\n \"item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product =\",\n \"null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId\",\n \"self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in\",\n \"指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None\",\n \"list of int \\\"\\\"\\\" self.SendMail = None self.Region = None\",\n \"邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\"\",\n \"self.Limit = None self.SortBy = None self.StartDate = None self.EndDate\",\n \"TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求\",\n \"r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。\",\n \"self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set\",\n \"= params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"= None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId =\",\n \"PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo\",\n \":type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"= params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None\",\n \"= InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus =\",\n \"= params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs()\",\n \"= params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"% \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"None self.GroupName = None self.Status = None self.UniqSubnetId = None\",\n \"r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param\",\n \"AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset:\",\n \"int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param\",\n \"__init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries\",\n \"float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位%\",\n \"r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。\",\n \"def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost\",\n \"governing permissions and # limitations under the License. import warnings\",\n \"self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate\",\n \"float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost =\",\n \":type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param\",\n \"开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type\",\n \"= None self.SqlPlan = None self.Cost = None self.RequestId =\",\n \"= params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product =\",\n \"= params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of\",\n \"Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int\",\n \"None self.Names = None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\")\",\n \"_deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = []\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"list of str \\\"\\\"\\\" self.Product = None self.Names = None\",\n \"is not None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"):\",\n \"self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。\",\n \"KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type\",\n \"self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg\",\n \"self.Outline = None self.Problem = None self.Severity = None self.StartTime\",\n \"_deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine =\",\n \":type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo = None\",\n \"None self.Engine = None self.DataLength = None self.IndexLength = None\",\n \"params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText\",\n \"服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for\",\n \"Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem\",\n \"TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount\",\n \"str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库\",\n \"None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\")\",\n \"InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self):\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\")\",\n \"self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in\",\n \"self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for\",\n \"导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel):\",\n \"None self.InstanceNames = None self.InstanceIds = None self.Regions = None\",\n \"params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\")\",\n \"。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str\",\n \"is not None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"):\",\n \"DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection\",\n \"生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param\",\n \"= params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel):\",\n \"DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product =\",\n \":param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type\",\n \"Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product:\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None\",\n \"self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit\",\n \"self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for\",\n \"指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric\",\n \"class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体\",\n \"self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType\",\n \"params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\")\",\n \"None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"not None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj\",\n \"\\\"\\\"\\\" self.InstanceId = None self.ID = None self.User = None\",\n \"配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type\",\n \"= HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。\",\n \"= None self.FragRatio = None self.TableRows = None self.PhysicalFileSize =\",\n \"Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables:\",\n \":type Metric: str :param Unit: 指标单位。 :type Unit: str :param\",\n \"str \\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset =\",\n \"HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。\",\n \"str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\")\",\n \"express or implied. # See the License for the specific\",\n \"DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type\",\n \"MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \"def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas =\",\n \"InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport:\",\n \"params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is\",\n \"params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\")\",\n \"None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj =\",\n \"None self.Sources = None self.HealthLevels = None self.TaskStatuses = None\",\n \"class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。\",\n \":param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type\",\n \"params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\")\",\n \"健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str\",\n \"联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None\",\n \"def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount\",\n \"None self.Severity = None self.StartTime = None self.Suggestions = None\",\n \"= None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \":param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" -\",\n \"params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData`\",\n \"str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self,\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId\",\n \"\\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"= InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus\",\n \":type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product = None\",\n \"= [] for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item)\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。\",\n \"邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。\",\n \"self.ProfileType = None self.Product = None self.Offset = None self.Limit\",\n \"\\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"self.DiagType = None self.StartTime = None self.EndTime = None self.Outline\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\"\",\n \"= EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys())\",\n \"None self.StartTime = None self.Suggestions = None self.Metric = None\",\n \"params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"self.ScoreLost = None self.Metric = None self.Count = None def\",\n \"= None self.RequestId = None def _deserialize(self, params): self.ReportUrl =\",\n \"None self.ContactInfo = None self.Product = None def _deserialize(self, params):\",\n \"= params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\")\",\n \"= None def _deserialize(self, params): if params.get(\\\"Events\\\") is not None:\",\n \"= params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin =\",\n \"DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type\",\n \"sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList =\",\n \"ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel):\",\n \"- 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId\",\n \"= None self.Product = None def _deserialize(self, params): self.Name =\",\n \"= None self.Product = None self.DangerLevels = None def _deserialize(self,\",\n \"self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData()\",\n \"= params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName =\",\n \"None self.TopSeverity = None self.Count = None self.ScoreLost = None\",\n \"self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def\",\n \"HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData:\",\n \"UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio:\",\n \"% \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":type Names: list of str \\\"\\\"\\\" self.Product = None self.Names\",\n \":type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of\",\n \"RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5:\",\n \"组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int\",\n \"[] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj)\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel):\",\n \":param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList:\",\n \"DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type\",\n \":type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel\",\n \"obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel):\",\n \"= params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData()\",\n \"日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str\",\n \"int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。\",\n \":param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\"\",\n \"self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set\",\n \"安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int\",\n \"of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of\",\n \"__init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax:\",\n \"str \\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds =\",\n \"params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for\",\n \"= None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None:\",\n \"def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param\",\n \"实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int\",\n \"EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。\",\n \":class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括：\",\n \"self.InstanceId = None self.StartTime = None self.EndTime = None self.Product\",\n \"= None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime =\",\n \"\\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs:\",\n \"str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。\",\n \"for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name)\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None\",\n \"obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine\",\n \":type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param\",\n \"- 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds:\",\n \"\\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime:\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId\",\n \":type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param\",\n \"Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\"\",\n \"kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。\",\n \"class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。\",\n \"Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product\",\n \"str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。\",\n \":param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type\",\n \"r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。\",\n \"AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset:\",\n \"null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str\",\n \"= None self.Tasks = None self.RequestId = None def _deserialize(self,\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。\",\n \"params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys())\",\n \"self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit\",\n \"class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括：\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体\",\n \"= params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId =\",\n \"params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId\",\n \"not None: self.Events = [] for item in params.get(\\\"Events\\\"): obj\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据\",\n \"[] for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj)\",\n \"LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。\",\n \"params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"Regions: list of str \\\"\\\"\\\" self.IsSupported = None self.Product =\",\n \"params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\")\",\n \"根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product =\",\n \"12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime:\",\n \"= None self.ProfileLevel = None self.ProfileName = None self.ProfileType =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def\",\n \"云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。\",\n \"None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy =\",\n \"Values: list of float \\\"\\\"\\\" self.Metric = None self.Unit =\",\n \"SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求\",\n \"self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan\",\n \"self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for\",\n \"self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product\",\n \"self.Product = None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \":param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"None self.Product = None self.Md5 = None def _deserialize(self, params):\",\n \"self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg\",\n \"= SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \":class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def\",\n \"params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\")\",\n \":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type\",\n \"obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity\",\n \"self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup\",\n \"= None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg =\",\n \"def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\"\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str\",\n \":param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount:\",\n \":param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType\",\n \":type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str\",\n \"None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj =\",\n \":type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param\",\n \"= params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip =\",\n \"_deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds =\",\n \"str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId =\",\n \"SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio:\",\n \"if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set\",\n \"def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\"\",\n \"\\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \":type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl\",\n \"= None self.SeriesData = None self.RequestId = None def _deserialize(self,\",\n \"str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id =\",\n \"\\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \":type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param\",\n \"None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList\",\n \"定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \":param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type\",\n \"= None self.ProfileType = None self.ProfileLevel = None self.ProfileName =\",\n \"None self.ProfileType = None self.Product = None self.BindInstanceIds = None\",\n \"Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。\",\n \"实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str\",\n \"of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\"\",\n \"params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set\",\n \"self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\"\",\n \":param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId:\",\n \"= params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit =\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip\",\n \"self.Items = [] for item in params.get(\\\"Items\\\"): obj = ScoreItem()\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\")\",\n \"self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if\",\n \"Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。\",\n \"r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is\",\n \"健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source =\",\n \"= params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate =\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain\",\n \"Id: int :param Name: 组名称。 :type Name: str :param MemberCount:\",\n \"def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not\",\n \"= params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None:\",\n \"诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \":param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type\",\n \"。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\")\",\n \"[] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj)\",\n \"AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type\",\n \"self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in\",\n \"= None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User =\",\n \"None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None\",\n \":type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\"\",\n \":param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type\",\n \"self.Comments = None self.SqlText = None self.Schema = None self.Tables\",\n \"MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type\",\n \"params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id:\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None\",\n \"= None self.Host = None self.DB = None self.State =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self):\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup\",\n \":param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。\",\n \"InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list\",\n \"str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId =\",\n \"= None self.TotalCount = None def _deserialize(self, params): self.IssueType =\",\n \"= None self.IndexLength = None self.DataFree = None self.TotalLength =\",\n \"DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type\",\n \":param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type\",\n \":type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric:\",\n \"联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None self.Name =\",\n \"SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId:\",\n \"sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求\",\n \"params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \":type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param\",\n \"params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\")\",\n \"ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"\\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None\",\n \"params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys())\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel):\",\n \"str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名\",\n \"任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回\",\n \"柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list\",\n \"class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for\",\n \":type Values: list of float \\\"\\\"\\\" self.Metric = None self.Unit\",\n \"params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status\",\n \"r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param\",\n \"self.RequestId = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId\",\n \"= params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions:\",\n \"= None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int\",\n \"根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported = None\",\n \"% \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId =\",\n \":type Id: int :param Name: 联系人姓名。 :type Name: str :param\",\n \":type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"= None self.SeriesData = None def _deserialize(self, params): self.TableName =\",\n \":param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None\",\n \"线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str\"\n]","isConversational":false}}},{"rowIdx":795,"cells":{"ngram":{"kind":"list like","value":["include in the requests. :type headers: dict :param status_code: HTTP","= self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check","code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions","code for x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise","err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def","missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0","(is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not","def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self,","code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect =","type. Must be \"refresh_token\". :type grant_type: str :param client_id: Client","requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"authorization_code\":","response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"]","response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return","= \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err =","generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to","): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id,","or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\")","invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or",":rtype: int \"\"\" return 40 @property def token_type(self): \"\"\"Property method","time in seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self):","def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object from","def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str \"\"\"","= params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError","grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions","= \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return","expires_in = None error = None def raise_error_if_invalid(self): if not","response. :param grant_type: Desired grant type. Must be \"authorization_code\". :type","int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization","# Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import","scope) is_valid_refresh_token = data is not None # Return proper","incoming request and authenticate resource access. Certain methods MUST be","= \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code","providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception that was","discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token)","method to get the length used to generate tokens. :rtype:","\"\"\"Generate a random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length)","cannot be directly used as a provider. These are the","Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token,","err = \"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"]","authorization if authorization was successful. # Return value is ignored","get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token,","not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate","err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def","later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data,","HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" response_headers","scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) #","\"refresh_token\" in data: return self.refresh_token(**data) # Handle get token from","\" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in,","must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement","not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id,","params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} )","2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not","domain and path of the request, instead automatically parsing the","validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def","return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original","if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id","may be overridden to acheive desired behavior: @property token_length(self) @property","to get the length used to generate tokens. :rtype: int","\"\"\"Property method to get the length used to generate tokens.","a JSON-encoded response object representing the error. :param err: OAuth","persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return","client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized):","Return proper error responses on invalid conditions if not is_valid_client_id:","method will ignore the domain and path of the request,","authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class","scope) is_valid_grant = data is not None # Return proper","**params): \"\"\"Generate access token HTTP response from a refresh token.","user # Return True or False from_authorization_code(self, client_id, code, scope)","self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0","redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id,","\"\"\"Generate access token HTTP response. :param grant_type: Desired grant type.",":type uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try:","exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\"server_error\")","expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret,","method to get the access token type. :rtype: str \"\"\"","JSON-encode. :type data: mixed :param headers: Dict of headers to","directly used as a provider. These are the methods that","try: # Verify OAuth 2.0 Parameters for x in [\"grant_type\",","\" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement",":rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method","object representing status of authentication.\"\"\" auth = self.authorization_class() header =","methods that must be implemented in a subclass: get_authorization_header(self) #","return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token:","self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\" return auth","header.split: return auth header = header.split() if len(header) > 1","= None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth","def token_type(self): \"\"\"Property method to get the access token type.","client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token.","get_authorization_header(self) # Return header string for key \"Authorization\" or None","validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret)",") def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate","token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri):","access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes #","type. Must be \"authorization_code\". :type grant_type: str :param client_id: Client","get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\" auth =","authorization information. :type data: dict :rtype: requests.Response \"\"\" try: #","Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored","must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses","string parameters. :param uri: URI to parse for authorization information.","tokens. :rtype: int \"\"\" return 40 @property def token_type(self): \"\"\"Property","request err = \"invalid_request\" if \"redirect_uri\" in params: u =","NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise","str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype:",":type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str","self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token()","code. :type status_code: int :rtype: requests.Response \"\"\" response_headers = {}",":type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri:","requests.Response \"\"\" # Ensure proper response_type if response_type != \"code\":","\"\"\" # Ensure proper grant_type if grant_type != \"authorization_code\": return","implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth","\"\"\"Get authorization code response from a URI. This method will","information. :type data: dict :rtype: requests.Response \"\"\" try: # Verify","not header or not header.split: return auth header = header.split()","scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id,","res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw","None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri,","be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token,","\"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization","err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) #","\"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self,","status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access","string for key \"Authorization\" or None validate_access_token(self, access_token, authorization) #","return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing","self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch all other","TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except","and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri:","client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri)",":type code: str :rtype: requests.Response \"\"\" # Ensure proper grant_type","str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh","from io import StringIO try: from werkzeug.exceptions import Unauthorized except","self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0","access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response",":rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type !=","\"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200):","proper response_type if response_type != \"code\": err = \"unsupported_response_type\" return","code: Authorization code. :type code: str :rtype: requests.Response \"\"\" #","get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a URI. This","Client redirect URI. :type redirect_uri: str :param code: Authorization code.","query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch","body: Buffer/string containing the response body. :type body: str :param","Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True","value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self,","is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self):","headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] =","data containing authorization information. :type data: dict :rtype: requests.Response \"\"\"","redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization","message. :type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err},","!= \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id)","if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if","authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status","AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages authorization codes","refresh_token, scope) is_valid_refresh_token = data is not None # Return","else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch","cannot be directly used as a resource provider. These are","a URI. This method will ignore the domain and path","Certain methods MUST be overridden in a subclass, thus this","= False is_valid = None token = None client_id =","code = self.generate_authorization_code() # Save information to be used to",":type data: dict :rtype: requests.Response \"\"\" try: # Verify OAuth","method to get the token expiration time in seconds. :rtype:","expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to","OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\" def __init__(self,","# Ensure proper response_type if response_type != \"code\": err =","True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error","\"\"\" response_headers = {} if headers is not None: response_headers.update(headers)","from the given parameters. :param body: Buffer/string containing the response","in data: return self.refresh_token(**data) # Handle get token from authorization","authorization code for x in [\"redirect_uri\", \"code\"]: if not data.get(x):","in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return","raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class","params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token","error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason = reason","# Ensure proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\")","int :rtype: requests.Response \"\"\" res = Response() res.status_code = status_code","not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth","object from the given parameters. :param body: Buffer/string containing the","return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token. :rtype:","Buffer/string containing the response body. :type body: str :param headers:","_make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object from the","in request err = \"invalid_request\" if \"redirect_uri\" in params: u","params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200):","a subclass, thus this class cannot be directly used as","Return value ignored Optionally, the following may be overridden to","grant type. Must be \"refresh_token\". :type grant_type: str :param client_id:","= self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope","code code = self.generate_authorization_code() # Save information to be used","ignored Optionally, the following may be overridden to acheive desired","HTTP 302 redirect response object containing the error. :param redirect_uri:","code=code, scope=scope) # Return redirection response params.update( {\"code\": code, \"response_type\":","a random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def","redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self,","utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str","# Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not","raise TypeError(\"Missing parameter response_type in URL query\") if \"client_id\" not","self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate","parse for authorization information. :type uri: str :rtype: requests.Response \"\"\"","validate your app session user # Return True or False","(is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\")","2.0 resource provider. This class provides an interface to validate","errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement","conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope =","\"\"\"Property method to get the access token type. :rtype: str","return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id,",") redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def","get token from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data)","in params: raise TypeError(\"Missing parameter response_type in URL query\") if","\"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \"","# Catch missing parameters in request err = \"invalid_request\" if","or False validate_access(self) # Use this to validate your app","scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self,","\" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\")","return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing","type. :rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property","for x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing","requests import Response from io import StringIO try: from werkzeug.exceptions","logging from requests import Response from io import StringIO try:","validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id,","import Unauthorized except ImportError: Unauthorized = Exception from oauth import","is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope:","str :param client_id: Client ID. :type client_id: str :param client_secret:","params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response()","exc: Exception to process. :type exc: Exception \"\"\" logger =","and header[0] == \"Bearer\": auth.is_oauth = True access_token = header[1]","POST param: {0}\".format(x)) # Handle get token from refresh_token if","Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token,","= utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type,","class Provider(object): \"\"\"Base provider class for different types of OAuth","class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides an","Return True or False from_authorization_code(self, client_id, code, scope) # Return","implemented in a subclass: validate_client_id(self, client_id) # Return True or","Return header string for key \"Authorization\" or None validate_access_token(self, access_token,","**kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A","2.0 POST param: {0}\".format(x)) # Handle get token from refresh_token","Authorization code. :type code: str :rtype: requests.Response \"\"\" # Ensure","to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope)",":rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random","ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) #","= self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token =","requests. :type headers: dict :param status_code: HTTP status code. :type","status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object","True or False validate_client_secret(self, client_id, client_secret) # Return True or","# Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value","status_code=200): \"\"\"Return a response object from the given parameters. :param","= self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\",","Client secret. :type client_secret: str :param redirect_uri: Client redirect URI.","representing the error. :param err: OAuth error message. :type err:","err) def get_token_from_post_data(self, data): \"\"\"Get a token response from POST","a HTTP 302 redirect response object containing the error. :param","header.split() if len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth","status_code: HTTP status code. :type status_code: int :rtype: requests.Response \"\"\"","access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error =","code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a","client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope,","refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type,","\"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri =","other server errors err = \"server_error\" u = params[\"redirect_uri\"] return","exc: self._handle_exception(exc) # Catch all other server errors err =","return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\" return","suppressed. :param exc: Exception to process. :type exc: Exception \"\"\"","{0}\".format(x)) # Handle get token from refresh_token if \"refresh_token\" in","is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization","Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None,","class manages authorization codes and access tokens. Certain methods MUST","scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is","information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code,","err: str :rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\":","is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope =",":rtype: requests.Response \"\"\" res = Response() res.status_code = status_code if","token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property","logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response",":param grant_type: Desired grant type. Must be \"refresh_token\". :type grant_type:","self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token response from","err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code","data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not","required OAuth 2.0 POST param: {0}\".format(x)) # Handle get token","given JSON data. :param data: Data to JSON-encode. :type data:","Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json","missing parameters in request err = \"invalid_request\" if \"redirect_uri\" in","\"\"\"Get a token response from POST data. :param data: POST","utils class Provider(object): \"\"\"Base provider class for different types of","\"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate","\"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token.","\"\"\"OAuth 2.0 authorization provider. This class manages authorization codes and","from authorization code for x in [\"redirect_uri\", \"code\"]: if not","str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access",":param response_type: Desired response type. Must be exactly \"code\". :type","\"\"\" @property def token_length(self): \"\"\"Property method to get the length","redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth","ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the",":param uri: URI to parse for authorization information. :type uri:","used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return","status_code=200): \"\"\"Return a response object from the given JSON data.","is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access","must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise","is not None: res.headers.update(headers) res.raw = StringIO(body) return res def","def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses must implement \" \"validate_token.\")","if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not","self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params):","not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id)","the given parameters. :param body: Buffer/string containing the response body.","# Verify OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\",","types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an","return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype:","URL query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter","\"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0","True or False validate_access(self) # Use this to validate your","\"\"\" # Ensure proper response_type if response_type != \"code\": err","OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if","return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status of","scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id,","representing status of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header()","class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth","self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class","if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if","This class manages authorization codes and access tokens. Certain methods","return when the redirect_uri parameter is missing. :rtype: requests.Response \"\"\"","a resource provider. These are the methods that must be",":param data: POST data containing authorization information. :type data: dict","this to validate your app session user # Return True","token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \"","\"\"\" # Ensure proper grant_type if grant_type != \"refresh_token\": return","if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant","self.get_authorization_header() if not header or not header.split: return auth header","an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid = None","class provides an interface to validate an incoming request and","def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect response","access tokens once all conditions have been met access_token =","parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc)","used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type,","requests.Response \"\"\" response_headers = {} if headers is not None:","this class cannot be directly used as a provider. These","Client redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\" #","a provider. These are the methods that must be implemented","res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect","redirect_uri, code, **params): \"\"\"Generate access token HTTP response. :param grant_type:","err) if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err)","response from POST data. :param data: POST data containing authorization","in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth","class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages authorization","= self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be","\"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses","err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri,","self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate","be \"refresh_token\". :type grant_type: str :param client_id: Client ID. :type","exc: self._handle_exception(exc) # Catch missing parameters in request err =","return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class","Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens","exc): \"\"\"Handle an internal exception that was caught and suppressed.","\"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not in params:","# Catch all other server errors err = \"server_error\" u","# Save information to be used to validate later requests","\"authorization_code\". :type grant_type: str :param client_id: Client ID. :type client_id:","self._handle_exception(exc) # Catch all other server errors err = \"server_error\"","\"client_id\" not in params: raise TypeError(\"Missing parameter client_id in URL","return self.refresh_token(**data) # Handle get token from authorization code for","raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code,","refresh_token, scope) # Return mixed data or None on invalid","original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once",":param redirect_uri: Client redirect URI. :type redirect_uri: str :param err:","Use this to validate your app session user # Return","# Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError","header = header.split() if len(header) > 1 and header[0] ==","be directly used as a provider. These are the methods",") def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a","token response from POST data. :param data: POST data containing","\" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement","utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token. :rtype: str","from a refresh token. :param grant_type: Desired grant type. Must","tokens once all conditions have been met access_token = self.generate_access_token()","self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other","client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses","params = {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None}","self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None #","\"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope)","if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider):","= self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id,","\"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a","self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access()","redirect_uri) # Return True or False validate_access(self) # Use this","the redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\")","token_expires_in(self): \"\"\"Property method to get the token expiration time in","= self.get_authorization_header() if not header or not header.split: return auth","self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data","implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must","URI. :type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper","parameters in request err = \"invalid_request\" if \"redirect_uri\" in params:","self._handle_exception(exc) # Catch missing parameters in request err = \"invalid_request\"","token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self):","\"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code.","return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access =","object from the given JSON data. :param data: Data to","data. :param data: Data to JSON-encode. :type data: mixed :param","client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP response. :param","type. Must be exactly \"code\". :type response_type: str :param client_id:","data) # Return value ignored discard_authorization_code(self, client_id, code) # Return","if not auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self):","err) # Generate authorization code code = self.generate_authorization_code() # Save","raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri):","expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code)","ID. :type client_id: str :param client_secret: Client secret. :type client_secret:","= self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save","required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError","data or None on invalid persist_authorization_code(self, client_id, code, scope) #","= \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri","to parse for authorization information. :type uri: str :rtype: requests.Response","NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope):","used as a resource provider. These are the methods that","= Exception from oauth import utils class Provider(object): \"\"\"Base provider","params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code,",") # Return json response return self._make_json_response( { \"access_token\": access_token,","to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection",":rtype: requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters for","u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except","data. :param data: POST data containing authorization information. :type data:","on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored","client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data","be overridden in a subclass, thus this class cannot be","# Return value ignored Optionally, the following may be overridden","acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self)","containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri:","OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason =","= {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect","# Generate access tokens once all conditions have been met","parameter client_id in URL query\") if \"redirect_uri\" not in params:","class containing an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid","Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id,","get the access token type. :rtype: str \"\"\" return \"Bearer\"","<filename>oauth/provider.py<gh_stars>1000+ # Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py","on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data","data: dict :rtype: requests.Response \"\"\" try: # Verify OAuth 2.0","get the token expiration time in seconds. :rtype: int \"\"\"","access token HTTP response. :param grant_type: Desired grant type. Must","_handle_exception(self, exc): \"\"\"Handle an internal exception that was caught and","scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is","# Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access","URI. :type redirect_uri: str :param err: OAuth error message. :type","conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\",","This method will ignore the domain and path of the","client_id) # Return True or False validate_client_secret(self, client_id, client_secret) #","\"\"\"Generate access token HTTP response from a refresh token. :param","\"response_type\" not in params: raise TypeError(\"Missing parameter response_type in URL",":type status_code: int :rtype: requests.Response \"\"\" res = Response() res.status_code","str :param headers: Dict of headers to include in the","persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id,","message. :type err: str :rtype: requests.Response \"\"\" params = {\"error\":","\"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get the token","response_type if response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri,","provider. This class manages authorization codes and access tokens. Certain","Return proper error responses on invalid conditions if not (is_valid_client_id","proper error responses on invalid conditions if not (is_valid_client_id and","if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope:","return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get the","\"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret","True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or","@property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property","ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get","code) # Generate access tokens once all conditions have been","attributes # on authorization if authorization was successful. # Return","Client redirect URI. :type redirect_uri: str :param err: OAuth error","access tokens. Certain methods MUST be overridden in a subclass,","self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None #","\"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def","token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return","werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth","response. :param response_type: Desired response type. Must be exactly \"code\".","# on authorization if authorization was successful. # Return value","None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def","subclass: get_authorization_header(self) # Return header string for key \"Authorization\" or","return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original","= self.generate_refresh_token() # Save information to be used to validate","client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response from a","res = Response() res.status_code = status_code if headers is not","self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\"code\": code,","HTTP response. :param grant_type: Desired grant type. Must be \"authorization_code\".","your app session user # Return True or False from_authorization_code(self,","\" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses must implement","access token type. :rtype: str \"\"\" return \"Bearer\" @property def","if \"client_id\" not in params: raise TypeError(\"Missing parameter client_id in","the requests. :type headers: dict :param status_code: HTTP status code.","OAuth error message. :type err: str :rtype: requests.Response \"\"\" params","is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return","authorization provider. This class manages authorization codes and access tokens.","generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str \"\"\" return","self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the","the domain and path of the request, instead automatically parsing","Client secret. :type client_secret: str :param refresh_token: Refresh token. :type","1 and header[0] == \"Bearer\": auth.is_oauth = True access_token =","return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return","= self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope)","= self.validate_scope(client_id, scope) # Return proper error responses on invalid","redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response","scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data =","Desired grant type. Must be \"authorization_code\". :type grant_type: str :param","containing an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid =","str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self):","response type. Must be exactly \"code\". :type response_type: str :param","Client ID. :type client_id: str :param redirect_uri: Client redirect URI.","response_type in URL query\") if \"client_id\" not in params: raise","conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not","error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param","redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return","in a subclass: validate_client_id(self, client_id) # Return True or False","def token_expires_in(self): \"\"\"Property method to get the token expiration time","\"\"\"Return a response object from the given parameters. :param body:","expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response(","return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch all","been met access_token = self.generate_access_token() token_type = self.token_type expires_in =","self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except","\" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement","redirect URI. :type redirect_uri: str :param code: Authorization code. :type","to generate tokens. :rtype: int \"\"\" return 40 @property def","token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method","!= \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id)","\"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope)","self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise","following may be overridden to acheive desired behavior: @property token_length(self)","\"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret","auth.error = \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must","\"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self,","= None error = None def raise_error_if_invalid(self): if not self.is_valid:",":type status_code: int :rtype: requests.Response \"\"\" response_headers = {} if","\"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } )","except ImportError: Unauthorized = Exception from oauth import utils class",":type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri:","error, including the OAuth error reason.\"\"\" def __init__(self, reason, *args,","= utils.url_query_params(uri) try: if \"response_type\" not in params: raise TypeError(\"Missing","\"\"\" res = Response() res.status_code = status_code if headers is","{} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\"","\"\"\" try: # Verify OAuth 2.0 Parameters for x in","tokens. Certain methods MUST be overridden in a subclass, thus","client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self):","not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") #","query\") if \"client_id\" not in params: raise TypeError(\"Missing parameter client_id","process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def","Generate authorization code code = self.generate_authorization_code() # Save information to","authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all","None expires_in = None error = None def raise_error_if_invalid(self): if","\"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \"","code response from a URI. This method will ignore the","2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception that","client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str","to JSON-encode. :type data: mixed :param headers: Dict of headers","raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data)","of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal","\"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\"","Client ID. :type client_id: str :param client_secret: Client secret. :type","refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code,","requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\"code\":","as exc: self._handle_exception(exc) # Catch missing parameters in request return","= {} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] =","from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from","a response object from the given JSON data. :param data:","\"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get","provides an interface to validate an incoming request and authenticate","not header.split: return auth header = header.split() if len(header) >","be \"authorization_code\". :type grant_type: str :param client_id: Client ID. :type","refresh_token, **params): \"\"\"Generate access token HTTP response from a refresh","# Return True or False validate_client_secret(self, client_id, client_secret) # Return","None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return","Catch all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id):","response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object","TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) # Handle get","} ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from","return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \"","def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access","generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to get the","from oauth import utils class Provider(object): \"\"\"Base provider class for","\"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302)","False from_authorization_code(self, client_id, code, scope) # Return mixed data or","access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token","None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in","is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token","client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return","\"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This","str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response","client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self,","later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update(","reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an","TypeError(\"Missing parameter response_type in URL query\") if \"client_id\" not in","err): \"\"\"Return a HTTP 302 redirect response object containing the","grant_type: Desired grant type. Must be \"authorization_code\". :type grant_type: str","is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope =","err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI","err: OAuth error message. :type err: str :rtype: requests.Response \"\"\"","code HTTP response. :param response_type: Desired response type. Must be","302 redirect response object containing the error. :param redirect_uri: Client","all conditions have been met access_token = self.generate_access_token() token_type =",":rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\":","all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise","implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses","must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token,","# Return header string for key \"Authorization\" or None validate_access_token(self,","behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self)","raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret):","in a subclass, thus this class cannot be directly used","header or not header.split: return auth header = header.split() if","# Generate authorization code code = self.generate_authorization_code() # Save information","= self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token =","def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args,","to get the token expiration time in seconds. :rtype: int","response_type: str :param client_id: Client ID. :type client_id: str :param","a random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def","Verify OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]:","def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\")","raise TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\" not","redirect_uri: str :param err: OAuth error message. :type err: str","param: {0}\".format(x)) # Handle get token from refresh_token if \"refresh_token\"","code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information(","is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() #","URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response()","be implemented in a subclass: validate_client_id(self, client_id) # Return True","if response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err)","# Return json response return self._make_json_response( { \"access_token\": access_token, \"token_type\":","on invalid conditions if not is_valid_client_id: err = \"unauthorized_client\" return","response from a refresh token. :param grant_type: Desired grant type.",":type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self,","body. :type body: str :param headers: Dict of headers to","def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter is","self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if","utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id,","error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides","self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope)","expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\")","Save information to be used to validate later requests self.persist_token_information(","def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\")","\"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \"",":rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random","is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on","is_oauth = False is_valid = None token = None client_id","data: mixed :param headers: Dict of headers to include in","not in params: raise TypeError(\"Missing parameter client_id in URL query\")","secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token:","status of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if","_make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object from the","to validate your app session user # Return True or","provider. This class provides an interface to validate an incoming","parameters. :param uri: URI to parse for authorization information. :type","self.generate_authorization_code() # Save information to be used to validate later","status code. :type status_code: int :rtype: requests.Response \"\"\" response_headers =","@property def token_expires_in(self): \"\"\"Property method to get the token expiration",":param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response","data: Data to JSON-encode. :type data: mixed :param headers: Dict","False validate_access(self) # Use this to validate your app session","\"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\"","refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) #","except StandardError as exc: self._handle_exception(exc) # Catch all other server","is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not","{ \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, }","data: POST data containing authorization information. :type data: dict :rtype:","a refresh token. :param grant_type: Desired grant type. Must be","self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\")","generate_access_token(self): \"\"\"Generate a random access token. :rtype: str \"\"\" return","redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data","# Return proper error responses on invalid conditions if not","all other server errors err = \"server_error\" u = params[\"redirect_uri\"]","\"\"\"Return a response object from the given JSON data. :param","as exc: self._handle_exception(exc) # Catch all other server errors err",":param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client","caught and suppressed. :param exc: Exception to process. :type exc:",":type refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper grant_type","raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id,","= \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement","Return value is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization","must be implemented in a subclass: validate_client_id(self, client_id) # Return","or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False","# Return True or False from_authorization_code(self, client_id, code, scope) #","\"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST","the error. :param err: OAuth error message. :type err: str","reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class","scope) # Return proper error responses on invalid conditions if","NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must","\"\"\"Return a HTTP 302 redirect response object containing the error.","in URL query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing","validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id,","to include in the requests. :type headers: dict :param status_code:","used as a provider. These are the methods that must","the request, instead automatically parsing the query string parameters. :param","that must be implemented in a subclass: validate_client_id(self, client_id) #","= StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a","is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access:","\" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement","self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc)","\"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement","code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id,",":type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400)","requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not in","from POST data. :param data: POST data containing authorization information.","def get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\" auth","grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id =","redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\"","raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code):","auth header = header.split() if len(header) > 1 and header[0]","ImportError: Unauthorized = Exception from oauth import utils class Provider(object):","Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x):","params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token,","if \"response_type\" not in params: raise TypeError(\"Missing parameter response_type in","in seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate","scope) # Return mixed data or None on invalid from_refresh_token(self,","False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self)","auth = self.authorization_class() header = self.get_authorization_header() if not header or","error. :param err: OAuth error message. :type err: str :rtype:","not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not","self.generate_refresh_token() # Save information to be used to validate later","str :param client_id: Client ID. :type client_id: str :param redirect_uri:","return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302","must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses",":param body: Buffer/string containing the response body. :type body: str","from requests import Response from io import StringIO try: from","subclass, thus this class cannot be directly used as a","status_code: int :rtype: requests.Response \"\"\" res = Response() res.status_code =","self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have","err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if","in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required","Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging","err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri","client_id: str :param client_secret: Client secret. :type client_secret: str :param","def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \"","int \"\"\" return 40 @property def token_type(self): \"\"\"Property method to","be overridden to acheive desired behavior: @property token_length(self) @property token_type(self)","object containing the error. :param redirect_uri: Client redirect URI. :type","body=\"\", headers=None, status_code=200): \"\"\"Return a response object from the given","self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used","auth) if not auth.is_valid: auth.error = \"access_denied\" return auth def","\"code\". :type response_type: str :param client_id: Client ID. :type client_id:","token. :type refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper","invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self,","Data to JSON-encode. :type data: mixed :param headers: Dict of","headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res","client_id in URL query\") if \"redirect_uri\" not in params: raise","header[0] == \"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token,","original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once","return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded","header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\" return","random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self):","return auth header = header.split() if len(header) > 1 and",":param grant_type: Desired grant type. Must be \"authorization_code\". :type grant_type:","self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope","expires_in attributes # on authorization if authorization was successful. #","@property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\"","ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth =","\"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return","must be implemented in a subclass: get_authorization_header(self) # Return header","token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions","scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return","def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing","data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self,","client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def",":type err: str :rtype: requests.Response \"\"\" params = {\"error\": err,","or not header.split: return auth header = header.split() if len(header)","mixed data or None on invalid persist_authorization_code(self, client_id, code, scope)","from_authorization_code(self, client_id, code, scope) # Return mixed data or None","token_type(self): \"\"\"Property method to get the access token type. :rtype:","= header.split() if len(header) > 1 and header[0] == \"Bearer\":","generate tokens. :rtype: int \"\"\" return 40 @property def token_type(self):","on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\")","False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self,","self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters","or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and","proper error responses on invalid conditions if not is_valid_client_id: err","\"\"\"Return a JSON-encoded response object representing the error. :param err:","def _handle_exception(self, exc): \"\"\"Handle an internal exception that was caught","app session user # Return True or False from_authorization_code(self, client_id,","Optionally, the following may be overridden to acheive desired behavior:","dict :param status_code: HTTP status code. :type status_code: int :rtype:","Return True or False validate_client_secret(self, client_id, client_secret) # Return True","if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err)","# Set is_valid=True, client_id, and expires_in attributes # on authorization","containing the response body. :type body: str :param headers: Dict","resource access. Certain methods MUST be overridden in a subclass,","redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate","for different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc):","Ensure proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") #","in URL query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc)","body: str :param headers: Dict of headers to include in","internal exception that was caught and suppressed. :param exc: Exception","used to generate tokens. :rtype: int \"\"\" return 40 @property","@property def token_type(self): \"\"\"Property method to get the access token","https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from","raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource","refresh token. :param grant_type: Desired grant type. Must be \"refresh_token\".","parsing the query string parameters. :param uri: URI to parse","Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import","seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a","are the methods that must be implemented in a subclass:","token type. :rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self):","code: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if","err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err","refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def","for authorization information. :type uri: str :rtype: requests.Response \"\"\" params","def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \"","error responses on invalid conditions if not is_valid_client_id: err =","code. :type status_code: int :rtype: requests.Response \"\"\" res = Response()","return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) #","authorization information. :type uri: str :rtype: requests.Response \"\"\" params =","self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization","Catch all other server errors err = \"server_error\" u =","= True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid:","to process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc)","token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id,","params: raise TypeError(\"Missing parameter response_type in URL query\") if \"client_id\"","a response object from the given parameters. :param body: Buffer/string","invalid conditions if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri,","# Ensure proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\")","\"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth = False","desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self)","\"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else:","validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id,","as exc: self._handle_exception(exc) # Catch all other server errors return","of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if not","client_id, and expires_in attributes # on authorization if authorization was","grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP","= params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a","authorization.\"\"\" is_oauth = False is_valid = None token = None",":param exc: Exception to process. :type exc: Exception \"\"\" logger","authenticate resource access. Certain methods MUST be overridden in a","Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\" # Ensure",":rtype: requests.Response \"\"\" response_headers = {} if headers is not","auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def","**params): \"\"\"Generate authorization code HTTP response. :param response_type: Desired response","int :rtype: requests.Response \"\"\" response_headers = {} if headers is","scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored","to validate an incoming request and authenticate resource access. Certain","URI to parse for authorization information. :type uri: str :rtype:","or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return","_invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter is missing.","client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype:","OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider.","implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \"","other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses","\"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement","if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) #","if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param:","an internal exception that was caught and suppressed. :param exc:","responses on invalid conditions if not is_valid_client_id: err = \"unauthorized_client\"","must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise","\"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \"","value ignored Optionally, the following may be overridden to acheive","as a provider. These are the methods that must be","scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type,","\"Authorization\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id,","refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) # Handle get","params: raise TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\"","self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri,","code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token,","\" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must","!= \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check",":param client_id: Client ID. :type client_id: str :param client_secret: Client","have been met access_token = self.generate_access_token() token_type = self.token_type expires_in","= self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant =","\"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri,","def get_token_from_post_data(self, data): \"\"\"Get a token response from POST data.","= self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None","headers to include in the requests. :type headers: dict :param","= self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id,","params = utils.url_query_params(uri) try: if \"response_type\" not in params: raise","client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response from","must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses","client_id: Client ID. :type client_id: str :param client_secret: Client secret.","invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if","not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope:","requests.Response \"\"\" res = Response() res.status_code = status_code if headers","self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response","@property def token_length(self): \"\"\"Property method to get the length used","{\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect =","error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret):",":param err: OAuth error message. :type err: str :rtype: requests.Response","not in params: raise TypeError(\"Missing parameter redirect_uri in URL query\")",":rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization","return 40 @property def token_type(self): \"\"\"Property method to get the","ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id,","self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id,","data=data, ) # Return json response return self._make_json_response( { \"access_token\":","path of the request, instead automatically parsing the query string","from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\")","self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions","get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token","is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\",","\" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must","# Handle get token from authorization code for x in","TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError","err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err","implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses must","the following may be overridden to acheive desired behavior: @property","Handle get token from authorization code for x in [\"redirect_uri\",","URL query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) #","validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def","Exception from oauth import utils class Provider(object): \"\"\"Base provider class","Exception to process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__)","False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self,","resource provider. These are the methods that must be implemented","persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ):","or False validate_client_secret(self, client_id, client_secret) # Return True or False","\" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement","@property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def","client_id, refresh_token, scope) # Return mixed data or None on","def token_length(self): \"\"\"Property method to get the length used to","conditions if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err)","errors err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err)","\"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri,","and path of the request, instead automatically parsing the query","refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\" #","query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri","\" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must","POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc)","refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all","is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return","data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) #","utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None,","provider. These are the methods that must be implemented in","authorization code code = self.generate_authorization_code() # Save information to be","token from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) #","Must be \"refresh_token\". :type grant_type: str :param client_id: Client ID.","JSON-encoded response object representing the error. :param err: OAuth error","URI. This method will ignore the domain and path of","return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token response","= self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri)","proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check","access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def","not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") #","response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param","= status_code if headers is not None: res.headers.update(headers) res.raw =","authorization object representing status of authentication.\"\"\" auth = self.authorization_class() header","a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self,","return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc:","is_valid=True, client_id, and expires_in attributes # on authorization if authorization","StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP","discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following","raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses","overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property","def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \"","authorization was successful. # Return value is ignored \"\"\" @property","self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri,","data: return self.refresh_token(**data) # Handle get token from authorization code","\"\"\"Base provider class for different types of OAuth 2.0 providers.\"\"\"","validate an incoming request and authenticate resource access. Certain methods","NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope):",":type headers: dict :param status_code: HTTP status code. :type status_code:","None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed","requests.Response \"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\": None,",":rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random","\"\"\"OAuth error, including the OAuth error reason.\"\"\" def __init__(self, reason,","Must be exactly \"code\". :type response_type: str :param client_id: Client","from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None","self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information","server errors err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u,","generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to get","self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope =","raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope):",":rtype: requests.Response \"\"\" # Ensure proper response_type if response_type !=","conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri =","an incoming request and authenticate resource access. Certain methods MUST","code, **params): \"\"\"Generate access token HTTP response. :param grant_type: Desired","self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh","= logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a","Set is_valid=True, client_id, and expires_in attributes # on authorization if","headers: dict :param status_code: HTTP status code. :type status_code: int","if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri in","not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or","of headers to include in the requests. :type headers: dict","err) if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err)","res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err):","client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value","be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) #","2.0 authorization.\"\"\" is_oauth = False is_valid = None token =","validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes","*args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object):","is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code)","return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret =","Dict of headers to include in the requests. :type headers:","dict :rtype: requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters","\"\"\"Get authorization object representing status of authentication.\"\"\" auth = self.authorization_class()","None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization","is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant","Unauthorized except ImportError: Unauthorized = Exception from oauth import utils","str :param code: Authorization code. :type code: str :rtype: requests.Response","# Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests","not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return","validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token,","secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type","NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope):","be exactly \"code\". :type response_type: str :param client_id: Client ID.","\"\"\"Generate authorization code HTTP response. :param response_type: Desired response type.","refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP","if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return","is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard","refresh_token) # Generate access tokens once all conditions have been","if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code","raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token):","\"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\":","response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err):","will ignore the domain and path of the request, instead","get_token_from_post_data(self, data): \"\"\"Get a token response from POST data. :param","grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id =","2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc:","request, instead automatically parsing the query string parameters. :param uri:","value is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def","None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] =","= self.generate_authorization_code() # Save information to be used to validate","not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"]","Return json response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type,","= None token = None client_id = None expires_in =","scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must","== \"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth)","Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope =","str :param client_secret: Client secret. :type client_secret: str :param refresh_token:","data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not","conditions have been met access_token = self.generate_access_token() token_type = self.token_type","code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self,","if len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth =","utils.url_query_params(uri) try: if \"response_type\" not in params: raise TypeError(\"Missing parameter","res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return","\"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement","return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype:","implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must","\"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\":","def generate_access_token(self): \"\"\"Generate a random access token. :rtype: str \"\"\"","# Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return","ignore the domain and path of the request, instead automatically","Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as","\"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token.","str :rtype: requests.Response \"\"\" # Ensure proper response_type if response_type","class cannot be directly used as a provider. These are","not auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self): raise","raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code,","json response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\":","session user # Return True or False from_authorization_code(self, client_id, code,","\"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST","not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id,","def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\")","return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all","self.refresh_token(**data) # Handle get token from authorization code for x","params: raise TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params)","as a resource provider. These are the methods that must","x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing","to return when the redirect_uri parameter is missing. :rtype: requests.Response","thus this class cannot be directly used as a provider.","the length used to generate tokens. :rtype: int \"\"\" return","redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self,","requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider.","None # Return proper error responses on invalid conditions if","scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json","# Return True or False validate_scope(self, client_id, scope) # Return","not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not","self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() #","interface to validate an incoming request and authenticate resource access.","client_secret) # Return True or False validate_scope(self, client_id, scope) #","Desired response type. Must be exactly \"code\". :type response_type: str","try: if \"response_type\" not in params: raise TypeError(\"Missing parameter response_type","JSON data. :param data: Data to JSON-encode. :type data: mixed","= \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def","def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\")","len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth = True","code, scope) # Return mixed data or None on invalid","client_id, code, scope) # Return mixed data or None on","must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the","requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters for x","if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id","once all conditions have been met access_token = self.generate_access_token() token_type","URL query\") if \"client_id\" not in params: raise TypeError(\"Missing parameter","import Response from io import StringIO try: from werkzeug.exceptions import","response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in,","# Return redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\":","must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses","token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id,","logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object","is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id,","Response from io import StringIO try: from werkzeug.exceptions import Unauthorized","import logging from requests import Response from io import StringIO","utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code","client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect","class for different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self,","self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope","TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\" not in","except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in","client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def","return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token,","This class provides an interface to validate an incoming request","raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization):",":type client_id: str :param client_secret: Client secret. :type client_secret: str","3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from","value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally,","OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as","status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body)","response body. :type body: str :param headers: Dict of headers",":param status_code: HTTP status code. :type status_code: int :rtype: requests.Response","from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\")","client_id, client_secret) # Return True or False validate_scope(self, client_id, scope)","was successful. # Return value is ignored \"\"\" @property def","parameters. :param body: Buffer/string containing the response body. :type body:","redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id","successful. # Return value is ignored \"\"\" @property def authorization_class(self):","import json import logging from requests import Response from io","POST data containing authorization information. :type data: dict :rtype: requests.Response","resource provider. This class provides an interface to validate an","must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses","instead automatically parsing the query string parameters. :param uri: URI","response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) #","as exc: self._handle_exception(exc) # Catch missing parameters in request err","\"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses must implement \"","Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri","headers=None, status_code=200): \"\"\"Return a response object from the given JSON","header = self.get_authorization_header() if not header or not header.split: return","params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret,","implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must","None, \"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params)","StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized =","is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard","= Response() res.status_code = status_code if headers is not None:","Must be \"authorization_code\". :type grant_type: str :param client_id: Client ID.","\"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\"","def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\")","HTTP response. :param response_type: Desired response type. Must be exactly","str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param","access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate","x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required","self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have","None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302)","Response() res.status_code = status_code if headers is not None: res.headers.update(headers)","\"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get","reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError,","\"\"\"Generate a random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length)","validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response","exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\"invalid_request\")","**kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\"","token. :param grant_type: Desired grant type. Must be \"refresh_token\". :type","io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError:","None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect},","is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope =","if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"]","__init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs)","of the request, instead automatically parsing the query string parameters.","self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) #","\"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params)","requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to",":rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not","param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) #","\"\"\" return 40 @property def token_type(self): \"\"\"Property method to get","not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x))",":type response_type: str :param client_id: Client ID. :type client_id: str","client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id,","self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri)","is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth","error message. :type err: str :rtype: requests.Response \"\"\" params =","is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\")","validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def","discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class","params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error","if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token","request and authenticate resource access. Certain methods MUST be overridden","headers=None, status_code=200): \"\"\"Return a response object from the given parameters.","redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure","= utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data,","return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when","parameter response_type in URL query\") if \"client_id\" not in params:",":type data: mixed :param headers: Dict of headers to include","that must be implemented in a subclass: get_authorization_header(self) # Return","key \"Authorization\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True,","different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle","in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) #",":param client_id: Client ID. :type client_id: str :param redirect_uri: Client","the response body. :type body: str :param headers: Dict of","None on invalid persist_authorization_code(self, client_id, code, scope) # Return value",":type redirect_uri: str :param code: Authorization code. :type code: str","uri): \"\"\"Get authorization code response from a URI. This method","implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type,","methods that must be implemented in a subclass: validate_client_id(self, client_id)","[\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth","request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch","3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str","\"\"\"What to return when the redirect_uri parameter is missing. :rtype:","import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized","implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must","self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a","return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\" return","token HTTP response. :param grant_type: Desired grant type. Must be","for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise","self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token,","Generate access tokens once all conditions have been met access_token","# Return True or False validate_access(self) # Use this to","\"\"\"Handle an internal exception that was caught and suppressed. :param","True or False from_authorization_code(self, client_id, code, scope) # Return mixed","\" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error","= header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\"","the token expiration time in seconds. :rtype: int \"\"\" return","Return True or False validate_access(self) # Use this to validate","including the OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs):","that was caught and suppressed. :param exc: Exception to process.","str :rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\": None,","the access token type. :rtype: str \"\"\" return \"Bearer\" @property","StandardError as exc: self._handle_exception(exc) # Catch all other server errors","met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in","redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class","grant type. Must be \"authorization_code\". :type grant_type: str :param client_id:","_make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing the error.","grant_type: str :param client_id: Client ID. :type client_id: str :param","URI. :type redirect_uri: str :param code: Authorization code. :type code:","containing authorization information. :type data: dict :rtype: requests.Response \"\"\" try:","None error = None def raise_error_if_invalid(self): if not self.is_valid: raise","expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization","= None client_id = None expires_in = None error =","information to be used to validate later requests self.persist_token_information( client_id=client_id,","= None expires_in = None error = None def raise_error_if_invalid(self):","Return redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None,","def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP","str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to","refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( {","Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri:","def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a URI.","= params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id,","NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise",":type grant_type: str :param client_id: Client ID. :type client_id: str","HTTP response from a refresh token. :param grant_type: Desired grant","from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response","implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must","code, scope) is_valid_grant = data is not None # Return","\"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This","def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def","Ensure proper response_type if response_type != \"code\": err = \"unsupported_response_type\"","query string parameters. :param uri: URI to parse for authorization","self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope)","# Use this to validate your app session user #",":rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri,","40 @property def token_type(self): \"\"\"Property method to get the access","exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\",",":rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What","client_id, refresh_token) # Return value ignored Optionally, the following may","self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return","response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None}",":param redirect_uri: Client redirect URI. :type redirect_uri: str :param code:","client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self,","None client_id = None expires_in = None error = None","\"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self,","raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error,","refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self,","def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing the","or None on invalid persist_authorization_code(self, client_id, code, scope) # Return","code. :type code: str :rtype: requests.Response \"\"\" # Ensure proper","and authenticate resource access. Certain methods MUST be overridden in","was caught and suppressed. :param exc: Exception to process. :type","response from a URI. This method will ignore the domain","response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\"","this class cannot be directly used as a resource provider.","redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper response_type if","{0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch","refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth","data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return","return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization","access. Certain methods MUST be overridden in a subclass, thus","methods MUST be overridden in a subclass, thus this class","token expiration time in seconds. :rtype: int \"\"\" return 3600","implemented in a subclass: get_authorization_header(self) # Return header string for","must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise","\"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers,","TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request","implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses","Desired grant type. Must be \"refresh_token\". :type grant_type: str :param","validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) #","for key \"Authorization\" or None validate_access_token(self, access_token, authorization) # Set","self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\")","server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must","# Return value is ignored \"\"\" @property def authorization_class(self): return","is_valid = None token = None client_id = None expires_in","} ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params):","an interface to validate an incoming request and authenticate resource","client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self,","super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth","the OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason","refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response","manages authorization codes and access tokens. Certain methods MUST be","given parameters. :param body: Buffer/string containing the response body. :type","Return True or False validate_scope(self, client_id, scope) # Return True",":param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh","client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope","# Catch all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self,","oauth import utils class Provider(object): \"\"\"Base provider class for different","self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) #","\"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \"","raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token,","client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def","str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params):","self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\"server_error\") def","False is_valid = None token = None client_id = None","redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError as exc:","# Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access","authorization code HTTP response. :param response_type: Desired response type. Must","and expires_in attributes # on authorization if authorization was successful.","def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data","exception that was caught and suppressed. :param exc: Exception to","\"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code =","\"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if","overridden in a subclass, thus this class cannot be directly","uri: URI to parse for authorization information. :type uri: str","if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\")","Handle get token from refresh_token if \"refresh_token\" in data: return","the query string parameters. :param uri: URI to parse for","2.0 authorization provider. This class manages authorization codes and access","to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope,","json import logging from requests import Response from io import",":type body: str :param headers: Dict of headers to include","OAuth error message. :type err: str :rtype: requests.Response \"\"\" return","= \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self,","\"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u,","automatically parsing the query string parameters. :param uri: URI to","= self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\")","persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\")","Unauthorized = Exception from oauth import utils class Provider(object): \"\"\"Base","return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code()","the methods that must be implemented in a subclass: get_authorization_header(self)","in the requests. :type headers: dict :param status_code: HTTP status","is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\"","status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter","and suppressed. :param exc: Exception to process. :type exc: Exception","Ensure proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") #","scope) # Return mixed data or None on invalid persist_authorization_code(self,","authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate","self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data","def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object from","[\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0","OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception","def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str \"\"\"","# Return mixed data or None on invalid persist_authorization_code(self, client_id,","err): \"\"\"Return a JSON-encoded response object representing the error. :param","NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise","client_id, redirect_uri) # Return True or False validate_access(self) # Use","ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\"","random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self):","mixed :param headers: Dict of headers to include in the","is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token)","generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str \"\"\" return","Catch missing parameters in request err = \"invalid_request\" if \"redirect_uri\"","\"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return","to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import","authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if not header","from the given JSON data. :param data: Data to JSON-encode.",":type redirect_uri: str :param err: OAuth error message. :type err:","scope=scope) # Return redirection response params.update( {\"code\": code, \"response_type\": None,","exactly \"code\". :type response_type: str :param client_id: Client ID. :type","when the redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return","in a subclass: get_authorization_header(self) # Return header string for key","def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self,","response_type: Desired response type. Must be exactly \"code\". :type response_type:","Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope","client_id = None expires_in = None error = None def","Return mixed data or None on invalid persist_authorization_code(self, client_id, code,","token = None client_id = None expires_in = None error","in params: raise TypeError(\"Missing parameter redirect_uri in URL query\") return","from a URI. This method will ignore the domain and","mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope)","is not None # Return proper error responses on invalid","return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\")","thus this class cannot be directly used as a resource","provider class for different types of OAuth 2.0 providers.\"\"\" def","subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id,","redirect_uri, err): \"\"\"Return a HTTP 302 redirect response object containing","a token response from POST data. :param data: POST data","uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if","try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception","is_valid_refresh_token = data is not None # Return proper error","# Handle get token from refresh_token if \"refresh_token\" in data:","length used to generate tokens. :rtype: int \"\"\" return 40","return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\":","to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in,","raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) # Handle","> 1 and header[0] == \"Bearer\": auth.is_oauth = True access_token","Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens","\"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id,","NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise",":param data: Data to JSON-encode. :type data: mixed :param headers:","\"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \"","response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code)","is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id,","missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc:","logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return","client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) #","headers: Dict of headers to include in the requests. :type",":param code: Authorization code. :type code: str :rtype: requests.Response \"\"\"","directly used as a resource provider. These are the methods","_make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect response object","None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\":","response object representing the error. :param err: OAuth error message.","parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider):","get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response.","in URL query\") if \"client_id\" not in params: raise TypeError(\"Missing","access token HTTP response from a refresh token. :param grant_type:","code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return","object representing the error. :param err: OAuth error message. :type","\"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect","redirect URI. :type redirect_uri: str :param err: OAuth error message.","None token = None client_id = None expires_in = None","client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect","grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response","HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" res","client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP response.","redirect_uri: str :param code: Authorization code. :type code: str :rtype:","token_length(self): \"\"\"Property method to get the length used to generate","\"\"\"Generate a random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length)","not in params: raise TypeError(\"Missing parameter response_type in URL query\")","access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self,","requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"refresh_token\":","a random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def","\"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri in URL","data is not None # Return proper error responses on","client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str","import utils class Provider(object): \"\"\"Base provider class for different types","validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self,","self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions","error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error,","not None # Return proper error responses on invalid conditions","redirect response object containing the error. :param redirect_uri: Client redirect","POST data. :param data: POST data containing authorization information. :type","token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type,","return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code) #","These are the methods that must be implemented in a","grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions","str :param client_secret: Client secret. :type client_secret: str :param redirect_uri:","client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param response_type:","str :param err: OAuth error message. :type err: str :rtype:","= \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err =","{\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect","discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def","Provider(object): \"\"\"Base provider class for different types of OAuth 2.0","auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses","in params: raise TypeError(\"Missing parameter client_id in URL query\") if","data): \"\"\"Get a token response from POST data. :param data:","refresh_token) # Return value ignored Optionally, the following may be","the methods that must be implemented in a subclass: validate_client_id(self,","**params): \"\"\"Generate access token HTTP response. :param grant_type: Desired grant","status_code: int :rtype: requests.Response \"\"\" response_headers = {} if headers","self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters","= params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id,","scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise","must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses","authorization codes and access tokens. Certain methods MUST be overridden","response object from the given JSON data. :param data: Data","NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise","client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id,","expiration time in seconds. :rtype: int \"\"\" return 3600 def","\"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect},","the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str","redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\":","True or False validate_scope(self, client_id, scope) # Return True or","token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a","str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\"","error message. :type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\":","be directly used as a resource provider. These are the","u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get","and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if","= reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing","response object from the given parameters. :param body: Buffer/string containing","self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages","requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, )","\"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token,",":type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper response_type","Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored","raise TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except","params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as","status code. :type status_code: int :rtype: requests.Response \"\"\" res =","def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token","grant_type: Desired grant type. Must be \"refresh_token\". :type grant_type: str","implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses","token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() #","status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing","\"\"\"OAuth 2.0 resource provider. This class provides an interface to","\"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code","refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if","access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement","proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check","not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self,","the given JSON data. :param data: Data to JSON-encode. :type","= \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data),","\"\"\"Property method to get the token expiration time in seconds.","# Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in,","class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\" def","OAuth 2.0 POST param: {0}\".format(x)) # Handle get token from","def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\")","MUST be overridden in a subclass, thus this class cannot","# Return value ignored discard_authorization_code(self, client_id, code) # Return value","ID. :type client_id: str :param redirect_uri: Client redirect URI. :type","from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) # Handle","authorization) # Set is_valid=True, client_id, and expires_in attributes # on","data, headers=None, status_code=200): \"\"\"Return a response object from the given","codes and access tokens. Certain methods MUST be overridden in","= self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None","if \"refresh_token\" in data: return self.refresh_token(**data) # Handle get token","refresh_token = self.generate_refresh_token() # Save information to be used to","data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) #","response object containing the error. :param redirect_uri: Client redirect URI.","if authorization was successful. # Return value is ignored \"\"\"","self.authorization_class() header = self.get_authorization_header() if not header or not header.split:","NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope,","on authorization if authorization was successful. # Return value is","OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid = None token",":param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\"","header string for key \"Authorization\" or None validate_access_token(self, access_token, authorization)","be implemented in a subclass: get_authorization_header(self) # Return header string","and access tokens. Certain methods MUST be overridden in a","NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise","= \"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return","is_valid_grant = data is not None # Return proper error","str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type","return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\")","# Return mixed data or None on invalid from_refresh_token(self, client_id,","NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including","= params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper","token from authorization code for x in [\"redirect_uri\", \"code\"]: if","= self.authorization_class() header = self.get_authorization_header() if not header or not","or False validate_scope(self, client_id, scope) # Return True or False","= data is not None # Return proper error responses","if not header or not header.split: return auth header =","value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data)","# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope","\"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data):","ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides an interface","token HTTP response from a refresh token. :param grant_type: Desired","authorization code response from a URI. This method will ignore","a subclass: get_authorization_header(self) # Return header string for key \"Authorization\"","\"refresh_token\". :type grant_type: str :param client_id: Client ID. :type client_id:","get the length used to generate tokens. :rtype: int \"\"\"","auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not","if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id =","or False from_authorization_code(self, client_id, code, scope) # Return mixed data",":param headers: Dict of headers to include in the requests.","validate_access(self) # Use this to validate your app session user","to get the access token type. :rtype: str \"\"\" return","responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return","class cannot be directly used as a resource provider. These","random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self,","to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self)","information. :type uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri)","parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError as","@property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object","redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param response_type: Desired","get token from authorization code for x in [\"redirect_uri\", \"code\"]:","# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret)"],"string":"[\n \"include in the requests. :type headers: dict :param status_code: HTTP\",\n \"= self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check\",\n \"code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions\",\n \"code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise\",\n \"err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def\",\n \"missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0\",\n \"(is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not\",\n \"def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self,\",\n \"code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect =\",\n \"type. Must be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client\",\n \"requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"authorization_code\\\":\",\n \"response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"]\",\n \"response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return\",\n \"= \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err =\",\n \"generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to\",\n \"): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id,\",\n \"or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\")\",\n \"invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or\",\n \":rtype: int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method\",\n \"time in seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self):\",\n \"def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from\",\n \"def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\"\",\n \"= params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError\",\n \"grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions\",\n \"= \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return\",\n \"expires_in = None error = None def raise_error_if_invalid(self): if not\",\n \"response. :param grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type\",\n \"int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization\",\n \"# Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import\",\n \"scope) is_valid_refresh_token = data is not None # Return proper\",\n \"incoming request and authenticate resource access. Certain methods MUST be\",\n \"= \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code\",\n \"providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was\",\n \"discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token)\",\n \"method to get the length used to generate tokens. :rtype:\",\n \"\\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length)\",\n \"cannot be directly used as a provider. These are the\",\n \"Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token,\",\n \"err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"]\",\n \"authorization if authorization was successful. # Return value is ignored\",\n \"get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token,\",\n \"not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate\",\n \"err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def\",\n \"later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data,\",\n \"HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers\",\n \"scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) #\",\n \"\\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get token from\",\n \"\\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in,\",\n \"must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement\",\n \"not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id,\",\n \"params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} )\",\n \"2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not\",\n \"domain and path of the request, instead automatically parsing the\",\n \"validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def\",\n \"return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original\",\n \"if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id\",\n \"may be overridden to acheive desired behavior: @property token_length(self) @property\",\n \"to get the length used to generate tokens. :rtype: int\",\n \"\\\"\\\"\\\"Property method to get the length used to generate tokens.\",\n \"a JSON-encoded response object representing the error. :param err: OAuth\",\n \"persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return\",\n \"client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized):\",\n \"Return proper error responses on invalid conditions if not is_valid_client_id:\",\n \"method will ignore the domain and path of the request,\",\n \"authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class\",\n \"scope) is_valid_grant = data is not None # Return proper\",\n \"**params): \\\"\\\"\\\"Generate access token HTTP response from a refresh token.\",\n \"user # Return True or False from_authorization_code(self, client_id, code, scope)\",\n \"self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0\",\n \"redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id,\",\n \"\\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired grant type.\",\n \":type uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try:\",\n \"exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\\\"server_error\\\")\",\n \"expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret,\",\n \"method to get the access token type. :rtype: str \\\"\\\"\\\"\",\n \"JSON-encode. :type data: mixed :param headers: Dict of headers to\",\n \"directly used as a provider. These are the methods that\",\n \"try: # Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\",\",\n \"\\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement\",\n \":rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method\",\n \"object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header =\",\n \"methods that must be implemented in a subclass: get_authorization_header(self) #\",\n \"return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token:\",\n \"self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth\",\n \"header.split: return auth header = header.split() if len(header) > 1\",\n \"= None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth\",\n \"def token_type(self): \\\"\\\"\\\"Property method to get the access token type.\",\n \"client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token.\",\n \"get_authorization_header(self) # Return header string for key \\\"Authorization\\\" or None\",\n \"validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret)\",\n \") def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate\",\n \"token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri):\",\n \"access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes #\",\n \"type. Must be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client\",\n \"get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth =\",\n \"authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try: #\",\n \"Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored\",\n \"must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses\",\n \"string parameters. :param uri: URI to parse for authorization information.\",\n \"tokens. :rtype: int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property\",\n \"request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u =\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise\",\n \"str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype:\",\n \":type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str\",\n \"self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token()\",\n \"code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {}\",\n \":type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri:\",\n \"requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type != \\\"code\\\":\",\n \"\\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return\",\n \"implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth\",\n \"\\\"\\\"\\\"Get authorization code response from a URI. This method will\",\n \"information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify\",\n \"not header or not header.split: return auth header = header.split()\",\n \"scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id,\",\n \"res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw\",\n \"None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri,\",\n \"be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token,\",\n \"\\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization\",\n \"err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) #\",\n \"\\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self,\",\n \"status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access\",\n \"string for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) #\",\n \"return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing\",\n \"self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch all other\",\n \"TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except\",\n \"and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri:\",\n \"client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri)\",\n \":type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type\",\n \"str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh\",\n \"from io import StringIO try: from werkzeug.exceptions import Unauthorized except\",\n \"self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0\",\n \"access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response\",\n \":rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type !=\",\n \"\\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200):\",\n \"proper response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return\",\n \"code: Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\" #\",\n \"get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a URI. This\",\n \"Client redirect URI. :type redirect_uri: str :param code: Authorization code.\",\n \"query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch\",\n \"body: Buffer/string containing the response body. :type body: str :param\",\n \"Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True\",\n \"value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self,\",\n \"is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self):\",\n \"headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] =\",\n \"data containing authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\"\",\n \"redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization\",\n \"message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err},\",\n \"!= \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id)\",\n \"if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if\",\n \"authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status\",\n \"AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization codes\",\n \"refresh_token, scope) is_valid_refresh_token = data is not None # Return\",\n \"else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch\",\n \"cannot be directly used as a resource provider. These are\",\n \"a URI. This method will ignore the domain and path\",\n \"Certain methods MUST be overridden in a subclass, thus this\",\n \"= False is_valid = None token = None client_id =\",\n \"code = self.generate_authorization_code() # Save information to be used to\",\n \":type data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth\",\n \"method to get the token expiration time in seconds. :rtype:\",\n \"expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to\",\n \"OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self,\",\n \"# Ensure proper response_type if response_type != \\\"code\\\": err =\",\n \"True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error\",\n \"\\\"\\\"\\\" response_headers = {} if headers is not None: response_headers.update(headers)\",\n \"from the given parameters. :param body: Buffer/string containing the response\",\n \"in data: return self.refresh_token(**data) # Handle get token from authorization\",\n \"authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x):\",\n \"in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return\",\n \"raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class\",\n \"params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token\",\n \"error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason = reason\",\n \"# Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\")\",\n \"int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code\",\n \"not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth\",\n \"object from the given parameters. :param body: Buffer/string containing the\",\n \"return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype:\",\n \"Buffer/string containing the response body. :type body: str :param headers:\",\n \"_make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the\",\n \"in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u\",\n \"params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200):\",\n \"a subclass, thus this class cannot be directly used as\",\n \"Return value ignored Optionally, the following may be overridden to\",\n \"grant type. Must be \\\"refresh_token\\\". :type grant_type: str :param client_id:\",\n \"= self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope\",\n \"code code = self.generate_authorization_code() # Save information to be used\",\n \"ignored Optionally, the following may be overridden to acheive desired\",\n \"HTTP 302 redirect response object containing the error. :param redirect_uri:\",\n \"code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\":\",\n \"a random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def\",\n \"redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self,\",\n \"utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str\",\n \"# Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not\",\n \"raise TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\" not\",\n \"self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate\",\n \"parse for authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"validate your app session user # Return True or False\",\n \"(is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\")\",\n \"2.0 resource provider. This class provides an interface to validate\",\n \"errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement\",\n \"conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope =\",\n \"\\\"\\\"\\\"Property method to get the access token type. :rtype: str\",\n \"return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id,\",\n \") redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def\",\n \"get token from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data)\",\n \"in params: raise TypeError(\\\"Missing parameter response_type in URL query\\\") if\",\n \"\\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"# Catch missing parameters in request err = \\\"invalid_request\\\" if\",\n \"or False validate_access(self) # Use this to validate your app\",\n \"scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self,\",\n \"\\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\")\",\n \"return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing\",\n \"type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property\",\n \"for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing\",\n \"requests import Response from io import StringIO try: from werkzeug.exceptions\",\n \"logging from requests import Response from io import StringIO try:\",\n \"validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id,\",\n \"import Unauthorized except ImportError: Unauthorized = Exception from oauth import\",\n \"is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope:\",\n \"str :param client_id: Client ID. :type client_id: str :param client_secret:\",\n \"params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response()\",\n \"exc: Exception to process. :type exc: Exception \\\"\\\"\\\" logger =\",\n \"and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token = header[1]\",\n \"POST param: {0}\\\".format(x)) # Handle get token from refresh_token if\",\n \"Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token,\",\n \"= utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type,\",\n \"class Provider(object): \\\"\\\"\\\"Base provider class for different types of OAuth\",\n \"class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an\",\n \"Return True or False from_authorization_code(self, client_id, code, scope) # Return\",\n \"implemented in a subclass: validate_client_id(self, client_id) # Return True or\",\n \"Return header string for key \\\"Authorization\\\" or None validate_access_token(self, access_token,\",\n \"**kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A\",\n \"2.0 POST param: {0}\\\".format(x)) # Handle get token from refresh_token\",\n \"Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure\",\n \"to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope)\",\n \":rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random\",\n \"ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) #\",\n \"= self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token =\",\n \"requests. :type headers: dict :param status_code: HTTP status code. :type\",\n \"status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object\",\n \"True or False validate_client_secret(self, client_id, client_secret) # Return True or\",\n \"# Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value\",\n \"status_code=200): \\\"\\\"\\\"Return a response object from the given parameters. :param\",\n \"= self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\",\",\n \"Client secret. :type client_secret: str :param redirect_uri: Client redirect URI.\",\n \"representing the error. :param err: OAuth error message. :type err:\",\n \"err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST\",\n \"a HTTP 302 redirect response object containing the error. :param\",\n \"header.split() if len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth\",\n \"status_code: HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\"\",\n \"access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error =\",\n \"code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a\",\n \"client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope,\",\n \"refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type,\",\n \"\\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri =\",\n \"other server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return\",\n \"exc: self._handle_exception(exc) # Catch all other server errors err =\",\n \"return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\" return\",\n \"suppressed. :param exc: Exception to process. :type exc: Exception \\\"\\\"\\\"\",\n \"{0}\\\".format(x)) # Handle get token from refresh_token if \\\"refresh_token\\\" in\",\n \"is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization\",\n \"Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None,\",\n \"class manages authorization codes and access tokens. Certain methods MUST\",\n \"scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is\",\n \"information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code,\",\n \"err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\":\",\n \"is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope =\",\n \":rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code if\",\n \"token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property\",\n \"logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response\",\n \":param grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type grant_type:\",\n \"self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from\",\n \"err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code\",\n \"data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not\",\n \"required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get token\",\n \"given JSON data. :param data: Data to JSON-encode. :type data:\",\n \"Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json\",\n \"missing parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in\",\n \"\\\"\\\"\\\"Get a token response from POST data. :param data: POST\",\n \"utils class Provider(object): \\\"\\\"\\\"Base provider class for different types of\",\n \"\\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate\",\n \"\\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token.\",\n \"\\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization codes and\",\n \"from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not\",\n \"str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access\",\n \":param response_type: Desired response type. Must be exactly \\\"code\\\". :type\",\n \"\\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get the length\",\n \"redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth\",\n \"ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the\",\n \":param uri: URI to parse for authorization information. :type uri:\",\n \"used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return\",\n \"status_code=200): \\\"\\\"\\\"Return a response object from the given JSON data.\",\n \"is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access\",\n \"must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise\",\n \"is not None: res.headers.update(headers) res.raw = StringIO(body) return res def\",\n \"def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_token.\\\")\",\n \"if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not\",\n \"self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params):\",\n \"not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id)\",\n \"the given parameters. :param body: Buffer/string containing the response body.\",\n \"# Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\",\",\n \"types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an\",\n \"return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype:\",\n \"URL query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter\",\n \"\\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0\",\n \"True or False validate_access(self) # Use this to validate your\",\n \"\\\"\\\"\\\" # Ensure proper response_type if response_type != \\\"code\\\": err\",\n \"OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if\",\n \"return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of\",\n \"scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id,\",\n \"representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header()\",\n \"class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth\",\n \"self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class\",\n \"if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if\",\n \"This class manages authorization codes and access tokens. Certain methods\",\n \"return when the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\"\",\n \"a resource provider. These are the methods that must be\",\n \":param data: POST data containing authorization information. :type data: dict\",\n \"this to validate your app session user # Return True\",\n \"token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"\\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return\",\n \"if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant\",\n \"self.get_authorization_header() if not header or not header.split: return auth header\",\n \"an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None\",\n \"class provides an interface to validate an incoming request and\",\n \"def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response\",\n \"access tokens once all conditions have been met access_token =\",\n \"parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc)\",\n \"used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type,\",\n \"requests.Response \\\"\\\"\\\" response_headers = {} if headers is not None:\",\n \"this class cannot be directly used as a provider. These\",\n \"Client redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" #\",\n \"a provider. These are the methods that must be implemented\",\n \"res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect\",\n \"redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type:\",\n \"err) if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err)\",\n \"response from POST data. :param data: POST data containing authorization\",\n \"in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth\",\n \"class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization\",\n \"= self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be\",\n \"\\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses\",\n \"err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri,\",\n \"self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate\",\n \"be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID. :type\",\n \"exc: self._handle_exception(exc) # Catch missing parameters in request err =\",\n \"return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class\",\n \"Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens\",\n \"exc): \\\"\\\"\\\"Handle an internal exception that was caught and suppressed.\",\n \"\\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in params:\",\n \"# Catch all other server errors err = \\\"server_error\\\" u\",\n \"# Save information to be used to validate later requests\",\n \"\\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID. :type client_id:\",\n \"self._handle_exception(exc) # Catch all other server errors err = \\\"server_error\\\"\",\n \"\\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id in URL\",\n \"return self.refresh_token(**data) # Handle get token from authorization code for\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code,\",\n \"refresh_token, scope) # Return mixed data or None on invalid\",\n \"original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once\",\n \":param redirect_uri: Client redirect URI. :type redirect_uri: str :param err:\",\n \"Use this to validate your app session user # Return\",\n \"# Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError\",\n \"header = header.split() if len(header) > 1 and header[0] ==\",\n \"be directly used as a provider. These are the methods\",\n \") def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a\",\n \"token response from POST data. :param data: POST data containing\",\n \"\\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement\",\n \"utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str\",\n \"from a refresh token. :param grant_type: Desired grant type. Must\",\n \"tokens once all conditions have been met access_token = self.generate_access_token()\",\n \"self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other\",\n \"client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses\",\n \"params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None}\",\n \"self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None #\",\n \"\\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope)\",\n \"if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider):\",\n \"= self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id,\",\n \"\\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a\",\n \"self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access()\",\n \"redirect_uri) # Return True or False validate_access(self) # Use this\",\n \"the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\")\",\n \"token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration time in\",\n \"= self.get_authorization_header() if not header or not header.split: return auth\",\n \"self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data\",\n \"implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must\",\n \"URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper\",\n \"parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params:\",\n \"self._handle_exception(exc) # Catch missing parameters in request err = \\\"invalid_request\\\"\",\n \"token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self):\",\n \"\\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code.\",\n \"return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access =\",\n \"object from the given JSON data. :param data: Data to\",\n \"data. :param data: Data to JSON-encode. :type data: mixed :param\",\n \"client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param\",\n \"type. Must be exactly \\\"code\\\". :type response_type: str :param client_id:\",\n \"data) # Return value ignored discard_authorization_code(self, client_id, code) # Return\",\n \"if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self):\",\n \"err) # Generate authorization code code = self.generate_authorization_code() # Save\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri):\",\n \"expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code)\",\n \"ID. :type client_id: str :param client_secret: Client secret. :type client_secret:\",\n \"= self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save\",\n \"required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError\",\n \"data or None on invalid persist_authorization_code(self, client_id, code, scope) #\",\n \"= \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri\",\n \"to parse for authorization information. :type uri: str :rtype: requests.Response\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope):\",\n \"used as a resource provider. These are the methods that\",\n \"= Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider\",\n \"params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code,\",\n \") # Return json response return self._make_json_response( { \\\"access_token\\\": access_token,\",\n \"to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection\",\n \":rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for\",\n \"u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except\",\n \"data. :param data: POST data containing authorization information. :type data:\",\n \"on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored\",\n \"client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data\",\n \"be overridden in a subclass, thus this class cannot be\",\n \"# Return value ignored Optionally, the following may be overridden\",\n \"acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self)\",\n \"containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri:\",\n \"OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason =\",\n \"= {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect\",\n \"# Generate access tokens once all conditions have been met\",\n \"parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not in params:\",\n \"class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid\",\n \"Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id,\",\n \"get the access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\"\",\n \"<filename>oauth/provider.py<gh_stars>1000+ # Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py\",\n \"on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data\",\n \"data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0\",\n \"get the token expiration time in seconds. :rtype: int \\\"\\\"\\\"\",\n \"access token HTTP response. :param grant_type: Desired grant type. Must\",\n \"_handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was caught and\",\n \"scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is\",\n \"# Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access\",\n \"URI. :type redirect_uri: str :param err: OAuth error message. :type\",\n \"conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\",\",\n \"This method will ignore the domain and path of the\",\n \"client_id) # Return True or False validate_client_secret(self, client_id, client_secret) #\",\n \"\\\"\\\"\\\"Generate access token HTTP response from a refresh token. :param\",\n \"\\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type in URL\",\n \":type status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code\",\n \"str :param headers: Dict of headers to include in the\",\n \"persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id,\",\n \"message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\":\",\n \"\\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get the token\",\n \"response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri,\",\n \"provider. This class manages authorization codes and access tokens. Certain\",\n \"Return proper error responses on invalid conditions if not (is_valid_client_id\",\n \"proper error responses on invalid conditions if not (is_valid_client_id and\",\n \"if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope:\",\n \"return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get the\",\n \"\\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret\",\n \"True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or\",\n \"@property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property\",\n \"ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get\",\n \"code) # Generate access tokens once all conditions have been\",\n \"attributes # on authorization if authorization was successful. # Return\",\n \"Client redirect URI. :type redirect_uri: str :param err: OAuth error\",\n \"access tokens. Certain methods MUST be overridden in a subclass,\",\n \"self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None #\",\n \"\\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def\",\n \"token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return\",\n \"werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth\",\n \"response. :param response_type: Desired response type. Must be exactly \\\"code\\\".\",\n \"# on authorization if authorization was successful. # Return value\",\n \"None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def\",\n \"subclass: get_authorization_header(self) # Return header string for key \\\"Authorization\\\" or\",\n \"return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original\",\n \"= self.generate_refresh_token() # Save information to be used to validate\",\n \"client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from a\",\n \"res = Response() res.status_code = status_code if headers is not\",\n \"self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\": code,\",\n \"HTTP response. :param grant_type: Desired grant type. Must be \\\"authorization_code\\\".\",\n \"your app session user # Return True or False from_authorization_code(self,\",\n \"\\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses must implement\",\n \"access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def\",\n \"if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id in\",\n \"the requests. :type headers: dict :param status_code: HTTP status code.\",\n \"OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params\",\n \"is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return\",\n \"authorization provider. This class manages authorization codes and access tokens.\",\n \"generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\" return\",\n \"self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the\",\n \"the domain and path of the request, instead automatically parsing\",\n \"Client secret. :type client_secret: str :param refresh_token: Refresh token. :type\",\n \"1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token =\",\n \"return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return\",\n \"= self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope)\",\n \"= self.validate_scope(client_id, scope) # Return proper error responses on invalid\",\n \"redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response\",\n \"scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data =\",\n \"Desired grant type. Must be \\\"authorization_code\\\". :type grant_type: str :param\",\n \"containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid =\",\n \"str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self):\",\n \"response type. Must be exactly \\\"code\\\". :type response_type: str :param\",\n \"Client ID. :type client_id: str :param redirect_uri: Client redirect URI.\",\n \"response_type in URL query\\\") if \\\"client_id\\\" not in params: raise\",\n \"conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not\",\n \"error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param\",\n \"redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return\",\n \"in a subclass: validate_client_id(self, client_id) # Return True or False\",\n \"def token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration time\",\n \"\\\"\\\"\\\"Return a response object from the given parameters. :param body:\",\n \"expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response(\",\n \"return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch all\",\n \"been met access_token = self.generate_access_token() token_type = self.token_type expires_in =\",\n \"self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except\",\n \"\\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement\",\n \"redirect URI. :type redirect_uri: str :param code: Authorization code. :type\",\n \"to generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property def\",\n \"token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method\",\n \"!= \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id)\",\n \"\\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope)\",\n \"self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise\",\n \"following may be overridden to acheive desired behavior: @property token_length(self)\",\n \"\\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret\",\n \"auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must\",\n \"\\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self,\",\n \"= None error = None def raise_error_if_invalid(self): if not self.is_valid:\",\n \":type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if\",\n \"\\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } )\",\n \"except ImportError: Unauthorized = Exception from oauth import utils class\",\n \":type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri:\",\n \"error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args,\",\n \"= utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing\",\n \"\\\"\\\"\\\" res = Response() res.status_code = status_code if headers is\",\n \"{} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\"\",\n \"\\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for x in\",\n \"tokens. Certain methods MUST be overridden in a subclass, thus\",\n \"client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self):\",\n \"not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") #\",\n \"query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id\",\n \"process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def\",\n \"Generate authorization code code = self.generate_authorization_code() # Save information to\",\n \"authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all\",\n \"None expires_in = None error = None def raise_error_if_invalid(self): if\",\n \"\\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"code response from a URI. This method will ignore the\",\n \"2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that\",\n \"client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str\",\n \"to JSON-encode. :type data: mixed :param headers: Dict of headers\",\n \"raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data)\",\n \"of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal\",\n \"\\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\"\",\n \"Client ID. :type client_id: str :param client_secret: Client secret. :type\",\n \"refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code,\",\n \"requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\":\",\n \"as exc: self._handle_exception(exc) # Catch missing parameters in request return\",\n \"= {} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] =\",\n \"from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from\",\n \"a response object from the given JSON data. :param data:\",\n \"\\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get\",\n \"provides an interface to validate an incoming request and authenticate\",\n \"not header.split: return auth header = header.split() if len(header) >\",\n \"be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID. :type\",\n \"refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from a refresh\",\n \"# Return True or False validate_client_secret(self, client_id, client_secret) # Return\",\n \"None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return\",\n \"Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id):\",\n \"response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object\",\n \"TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get\",\n \"} ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from\",\n \"return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access\",\n \"generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get the\",\n \"from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class for\",\n \"\\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302)\",\n \"False from_authorization_code(self, client_id, code, scope) # Return mixed data or\",\n \"access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token\",\n \"None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in\",\n \"is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token\",\n \"client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return\",\n \"\\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This\",\n \"str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response\",\n \"client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self,\",\n \"later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update(\",\n \"reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an\",\n \"TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\" not in\",\n \"err): \\\"\\\"\\\"Return a HTTP 302 redirect response object containing the\",\n \"grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type grant_type: str\",\n \"is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope =\",\n \"err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI\",\n \"err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"code HTTP response. :param response_type: Desired response type. Must be\",\n \"302 redirect response object containing the error. :param redirect_uri: Client\",\n \"all conditions have been met access_token = self.generate_access_token() token_type =\",\n \":rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\":\",\n \"all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise\",\n \"implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses\",\n \"must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token,\",\n \"# Return header string for key \\\"Authorization\\\" or None validate_access_token(self,\",\n \"behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self)\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret):\",\n \"in a subclass, thus this class cannot be directly used\",\n \"header or not header.split: return auth header = header.split() if\",\n \"# Generate authorization code code = self.generate_authorization_code() # Save information\",\n \"= self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token =\",\n \"def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args,\",\n \"to get the token expiration time in seconds. :rtype: int\",\n \"response_type: str :param client_id: Client ID. :type client_id: str :param\",\n \"a random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def\",\n \"Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]:\",\n \"def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\")\",\n \"raise TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not\",\n \"redirect_uri: str :param err: OAuth error message. :type err: str\",\n \"param: {0}\\\".format(x)) # Handle get token from refresh_token if \\\"refresh_token\\\"\",\n \"code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information(\",\n \"is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() #\",\n \"URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response()\",\n \"be implemented in a subclass: validate_client_id(self, client_id) # Return True\",\n \"if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err)\",\n \"# Return json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\":\",\n \"on invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return\",\n \"response from a refresh token. :param grant_type: Desired grant type.\",\n \":type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self,\",\n \"body. :type body: str :param headers: Dict of headers to\",\n \"def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter is\",\n \"self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if\",\n \"utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id,\",\n \"error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides\",\n \"self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope)\",\n \"expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\")\",\n \"Save information to be used to validate later requests self.persist_token_information(\",\n \"def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\")\",\n \"\\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \":rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random\",\n \"is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on\",\n \"is_oauth = False is_valid = None token = None client_id\",\n \"data: mixed :param headers: Dict of headers to include in\",\n \"not in params: raise TypeError(\\\"Missing parameter client_id in URL query\\\")\",\n \"secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token:\",\n \"status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if\",\n \"_make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the\",\n \"to validate your app session user # Return True or\",\n \"provider. This class provides an interface to validate an incoming\",\n \"parameters. :param uri: URI to parse for authorization information. :type\",\n \"self.generate_authorization_code() # Save information to be used to validate later\",\n \"status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers =\",\n \"@property def token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration\",\n \":param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response\",\n \"data: Data to JSON-encode. :type data: mixed :param headers: Dict\",\n \"False validate_access(self) # Use this to validate your app session\",\n \"\\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\"\",\n \"refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) #\",\n \"except StandardError as exc: self._handle_exception(exc) # Catch all other server\",\n \"is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not\",\n \"{ \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, }\",\n \"data: POST data containing authorization information. :type data: dict :rtype:\",\n \"a refresh token. :param grant_type: Desired grant type. Must be\",\n \"self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\")\",\n \"generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\" return\",\n \"redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data\",\n \"# Return proper error responses on invalid conditions if not\",\n \"all other server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"]\",\n \"\\\"\\\"\\\"Return a response object from the given JSON data. :param\",\n \"as exc: self._handle_exception(exc) # Catch all other server errors err\",\n \":param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client\",\n \"caught and suppressed. :param exc: Exception to process. :type exc:\",\n \":type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id,\",\n \"= \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement\",\n \"Return value is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization\",\n \"must be implemented in a subclass: validate_client_id(self, client_id) # Return\",\n \"or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False\",\n \"# Return True or False from_authorization_code(self, client_id, code, scope) #\",\n \"\\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST\",\n \"the error. :param err: OAuth error message. :type err: str\",\n \"reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class\",\n \"scope) # Return proper error responses on invalid conditions if\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must\",\n \"\\\"\\\"\\\"Return a HTTP 302 redirect response object containing the error.\",\n \"in URL query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing\",\n \"validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id,\",\n \"to include in the requests. :type headers: dict :param status_code:\",\n \"used as a provider. These are the methods that must\",\n \"the request, instead automatically parsing the query string parameters. :param\",\n \"that must be implemented in a subclass: validate_client_id(self, client_id) #\",\n \"= StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a\",\n \"is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access:\",\n \"\\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement\",\n \"self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc)\",\n \"\\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement\",\n \"code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id,\",\n \":type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400)\",\n \"requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in\",\n \"from POST data. :param data: POST data containing authorization information.\",\n \"def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth\",\n \"grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id =\",\n \"redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code):\",\n \"auth header = header.split() if len(header) > 1 and header[0]\",\n \"ImportError: Unauthorized = Exception from oauth import utils class Provider(object):\",\n \"Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x):\",\n \"params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token,\",\n \"if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type in\",\n \"in seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate\",\n \"scope) # Return mixed data or None on invalid from_refresh_token(self,\",\n \"False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self)\",\n \"auth = self.authorization_class() header = self.get_authorization_header() if not header or\",\n \"error. :param err: OAuth error message. :type err: str :rtype:\",\n \"not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not\",\n \"self.generate_refresh_token() # Save information to be used to validate later\",\n \"str :param client_id: Client ID. :type client_id: str :param redirect_uri:\",\n \"return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302\",\n \"must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses\",\n \":param body: Buffer/string containing the response body. :type body: str\",\n \"from requests import Response from io import StringIO try: from\",\n \"subclass, thus this class cannot be directly used as a\",\n \"status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code =\",\n \"self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have\",\n \"err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if\",\n \"in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required\",\n \"Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging\",\n \"err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri\",\n \"client_id: str :param client_secret: Client secret. :type client_secret: str :param\",\n \"def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method to\",\n \"be overridden to acheive desired behavior: @property token_length(self) @property token_type(self)\",\n \"object containing the error. :param redirect_uri: Client redirect URI. :type\",\n \"body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given\",\n \"self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used\",\n \"auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def\",\n \"\\\"code\\\". :type response_type: str :param client_id: Client ID. :type client_id:\",\n \"token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper\",\n \"invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self,\",\n \"Data to JSON-encode. :type data: mixed :param headers: Dict of\",\n \"headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res\",\n \"client_id in URL query\\\") if \\\"redirect_uri\\\" not in params: raise\",\n \"header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token,\",\n \"original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once\",\n \"return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded\",\n \"header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return\",\n \"random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self):\",\n \"return auth header = header.split() if len(header) > 1 and\",\n \":param grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type grant_type:\",\n \"self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope\",\n \"expires_in attributes # on authorization if authorization was successful. #\",\n \"@property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\"\",\n \"ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth =\",\n \"\\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return\",\n \"must be implemented in a subclass: get_authorization_header(self) # Return header\",\n \"token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions\",\n \"scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return\",\n \"def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing\",\n \"data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self,\",\n \"client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def\",\n \":type err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err,\",\n \"or not header.split: return auth header = header.split() if len(header)\",\n \"mixed data or None on invalid persist_authorization_code(self, client_id, code, scope)\",\n \"from_authorization_code(self, client_id, code, scope) # Return mixed data or None\",\n \"token_type(self): \\\"\\\"\\\"Property method to get the access token type. :rtype:\",\n \"= header.split() if len(header) > 1 and header[0] == \\\"Bearer\\\":\",\n \"generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property def token_type(self):\",\n \"on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\")\",\n \"False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self,\",\n \"self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters\",\n \"or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and\",\n \"proper error responses on invalid conditions if not is_valid_client_id: err\",\n \"\\\"\\\"\\\"Return a JSON-encoded response object representing the error. :param err:\",\n \"def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was caught\",\n \"app session user # Return True or False from_authorization_code(self, client_id,\",\n \"Optionally, the following may be overridden to acheive desired behavior:\",\n \"dict :param status_code: HTTP status code. :type status_code: int :rtype:\",\n \"Return True or False validate_client_secret(self, client_id, client_secret) # Return True\",\n \"if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err)\",\n \"# Set is_valid=True, client_id, and expires_in attributes # on authorization\",\n \"containing the response body. :type body: str :param headers: Dict\",\n \"resource access. Certain methods MUST be overridden in a subclass,\",\n \"redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate\",\n \"for different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc):\",\n \"Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") #\",\n \"in URL query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc)\",\n \"body: str :param headers: Dict of headers to include in\",\n \"internal exception that was caught and suppressed. :param exc: Exception\",\n \"used to generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property\",\n \"@property def token_type(self): \\\"\\\"\\\"Property method to get the access token\",\n \"https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from\",\n \"raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource\",\n \"refresh token. :param grant_type: Desired grant type. Must be \\\"refresh_token\\\".\",\n \"parsing the query string parameters. :param uri: URI to parse\",\n \"Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import\",\n \"seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a\",\n \"are the methods that must be implemented in a subclass:\",\n \"token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self):\",\n \"code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if\",\n \"err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err\",\n \"refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def\",\n \"for authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params\",\n \"def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"error responses on invalid conditions if not is_valid_client_id: err =\",\n \"code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response()\",\n \"return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) #\",\n \"authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params =\",\n \"self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization\",\n \"Catch all other server errors err = \\\"server_error\\\" u =\",\n \"= True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid:\",\n \"to process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc)\",\n \"token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id,\",\n \"params: raise TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\"\",\n \"a response object from the given parameters. :param body: Buffer/string\",\n \"invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri,\",\n \"# Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\")\",\n \"\\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False\",\n \"desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self)\",\n \"\\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else:\",\n \"validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id,\",\n \"as exc: self._handle_exception(exc) # Catch all other server errors return\",\n \"of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if not\",\n \"client_id, and expires_in attributes # on authorization if authorization was\",\n \"grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP\",\n \"= params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a\",\n \"authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token = None\",\n \":param exc: Exception to process. :type exc: Exception \\\"\\\"\\\" logger\",\n \"authenticate resource access. Certain methods MUST be overridden in a\",\n \"Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure\",\n \":rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers is not\",\n \"auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def\",\n \"**params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired response\",\n \"int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers is\",\n \"scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored\",\n \"to validate an incoming request and authenticate resource access. Certain\",\n \"URI to parse for authorization information. :type uri: str :rtype:\",\n \"or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return\",\n \"_invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter is missing.\",\n \"client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype:\",\n \"OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider.\",\n \"implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses\",\n \"\\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement\",\n \"if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) #\",\n \"if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param:\",\n \"an internal exception that was caught and suppressed. :param exc:\",\n \"responses on invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\"\",\n \"must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise\",\n \"\\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"value ignored Optionally, the following may be overridden to acheive\",\n \"as a provider. These are the methods that must be\",\n \"scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type,\",\n \"\\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id,\",\n \"refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get\",\n \"params: raise TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\"\",\n \"self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri,\",\n \"code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token,\",\n \"\\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must\",\n \"!= \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check\",\n \":param client_id: Client ID. :type client_id: str :param client_secret: Client\",\n \"have been met access_token = self.generate_access_token() token_type = self.token_type expires_in\",\n \"= self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant =\",\n \"\\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri,\",\n \"def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST data.\",\n \"= self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None\",\n \"headers to include in the requests. :type headers: dict :param\",\n \"= self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id,\",\n \"params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise\",\n \"client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from\",\n \"must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses\",\n \"client_id: Client ID. :type client_id: str :param client_secret: Client secret.\",\n \"invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if\",\n \"not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope:\",\n \"requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code if headers\",\n \"self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response\",\n \"@property def token_length(self): \\\"\\\"\\\"Property method to get the length used\",\n \"{\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect =\",\n \"error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret):\",\n \":param err: OAuth error message. :type err: str :rtype: requests.Response\",\n \"not in params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\")\",\n \":rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization\",\n \"return 40 @property def token_type(self): \\\"\\\"\\\"Property method to get the\",\n \"ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id,\",\n \"self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id,\",\n \"data=data, ) # Return json response return self._make_json_response( { \\\"access_token\\\":\",\n \"path of the request, instead automatically parsing the query string\",\n \"from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\")\",\n \"self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions\",\n \"get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token\",\n \"is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\",\",\n \"\\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must\",\n \"# Handle get token from authorization code for x in\",\n \"TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError\",\n \"err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err\",\n \"implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses must\",\n \"the following may be overridden to acheive desired behavior: @property\",\n \"Handle get token from authorization code for x in [\\\"redirect_uri\\\",\",\n \"URL query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) #\",\n \"validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def\",\n \"Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class\",\n \"Exception to process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__)\",\n \"False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self,\",\n \"resource provider. These are the methods that must be implemented\",\n \"persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ):\",\n \"or False validate_client_secret(self, client_id, client_secret) # Return True or False\",\n \"\\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement\",\n \"@property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def\",\n \"client_id, refresh_token, scope) # Return mixed data or None on\",\n \"def token_length(self): \\\"\\\"\\\"Property method to get the length used to\",\n \"conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err)\",\n \"errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err)\",\n \"\\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri,\",\n \"and path of the request, instead automatically parsing the query\",\n \"refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" #\",\n \"query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri\",\n \"\\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must\",\n \"POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc)\",\n \"refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all\",\n \"is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return\",\n \"data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) #\",\n \"utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None,\",\n \"provider. These are the methods that must be implemented in\",\n \"authorization code code = self.generate_authorization_code() # Save information to be\",\n \"token from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) #\",\n \"Must be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID.\",\n \"JSON-encoded response object representing the error. :param err: OAuth error\",\n \"URI. This method will ignore the domain and path of\",\n \"return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response\",\n \"= self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri)\",\n \"proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check\",\n \"access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def\",\n \"not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") #\",\n \"response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param\",\n \"= status_code if headers is not None: res.headers.update(headers) res.raw =\",\n \"authorization object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header\",\n \"a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self,\",\n \"return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc:\",\n \"is_valid=True, client_id, and expires_in attributes # on authorization if authorization\",\n \"StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP\",\n \"discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses\",\n \"overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property\",\n \"def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"authorization was successful. # Return value is ignored \\\"\\\"\\\" @property\",\n \"self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri,\",\n \"data: return self.refresh_token(**data) # Handle get token from authorization code\",\n \"\\\"\\\"\\\"Base provider class for different types of OAuth 2.0 providers.\\\"\\\"\\\"\",\n \"validate an incoming request and authenticate resource access. Certain methods\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope):\",\n \":type headers: dict :param status_code: HTTP status code. :type status_code:\",\n \"None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed\",\n \"requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None,\",\n \":rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random\",\n \"\\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason,\",\n \"Must be exactly \\\"code\\\". :type response_type: str :param client_id: Client\",\n \"from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None\",\n \"self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information\",\n \"server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u,\",\n \"generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get\",\n \"self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope =\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope):\",\n \":rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type !=\",\n \"conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri =\",\n \"an incoming request and authenticate resource access. Certain methods MUST\",\n \"code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired\",\n \"self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh\",\n \"= logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a\",\n \"Set is_valid=True, client_id, and expires_in attributes # on authorization if\",\n \"headers: dict :param status_code: HTTP status code. :type status_code: int\",\n \"if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri in\",\n \"not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or\",\n \"of headers to include in the requests. :type headers: dict\",\n \"err) if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err)\",\n \"res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err):\",\n \"client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value\",\n \"be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) #\",\n \"2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token =\",\n \"validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes\",\n \"*args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object):\",\n \"is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code)\",\n \"return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret =\",\n \"Dict of headers to include in the requests. :type headers:\",\n \"dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters\",\n \"\\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class()\",\n \"None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization\",\n \"is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant\",\n \"Unauthorized except ImportError: Unauthorized = Exception from oauth import utils\",\n \"str :param code: Authorization code. :type code: str :rtype: requests.Response\",\n \"# Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests\",\n \"not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return\",\n \"validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token,\",\n \"secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope):\",\n \"be exactly \\\"code\\\". :type response_type: str :param client_id: Client ID.\",\n \"\\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired response type.\",\n \"refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP\",\n \"if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return\",\n \"is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard\",\n \"refresh_token) # Generate access tokens once all conditions have been\",\n \"if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token):\",\n \"\\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\":\",\n \"response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err):\",\n \"will ignore the domain and path of the request, instead\",\n \"get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST data. :param\",\n \"grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id =\",\n \"2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc:\",\n \"request, instead automatically parsing the query string parameters. :param uri:\",\n \"value is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def\",\n \"None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] =\",\n \"= self.generate_authorization_code() # Save information to be used to validate\",\n \"not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"]\",\n \"Return json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type,\",\n \"= None token = None client_id = None expires_in =\",\n \"scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must\",\n \"== \\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth)\",\n \"Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope =\",\n \"str :param client_secret: Client secret. :type client_secret: str :param refresh_token:\",\n \"data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not\",\n \"conditions have been met access_token = self.generate_access_token() token_type = self.token_type\",\n \"code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self,\",\n \"if len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth =\",\n \"utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter\",\n \"res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return\",\n \"\\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement\",\n \"return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype:\",\n \"implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must\",\n \"\\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\":\",\n \"def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\"\",\n \"# Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return\",\n \"ignore the domain and path of the request, instead automatically\",\n \"Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as\",\n \"\\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token.\",\n \"str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type\",\n \"class cannot be directly used as a provider. These are\",\n \"not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code,\",\n \"json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\":\",\n \"session user # Return True or False from_authorization_code(self, client_id, code,\",\n \"\\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST\",\n \"not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id,\",\n \"def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\")\",\n \"return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all\",\n \"self.refresh_token(**data) # Handle get token from authorization code for x\",\n \"params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params)\",\n \"as a resource provider. These are the methods that must\",\n \"x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing\",\n \"to return when the redirect_uri parameter is missing. :rtype: requests.Response\",\n \"thus this class cannot be directly used as a provider.\",\n \"the length used to generate tokens. :rtype: int \\\"\\\"\\\" return\",\n \"redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self,\",\n \"requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider.\",\n \"None # Return proper error responses on invalid conditions if\",\n \"scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json\",\n \"# Return True or False validate_scope(self, client_id, scope) # Return\",\n \"not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not\",\n \"self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() #\",\n \"interface to validate an incoming request and authenticate resource access.\",\n \"client_secret) # Return True or False validate_scope(self, client_id, scope) #\",\n \"Desired response type. Must be exactly \\\"code\\\". :type response_type: str\",\n \"try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type\",\n \"JSON data. :param data: Data to JSON-encode. :type data: mixed\",\n \"= \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def\",\n \"def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\")\",\n \"len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True\",\n \"code, scope) # Return mixed data or None on invalid\",\n \"client_id, code, scope) # Return mixed data or None on\",\n \"must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the\",\n \"requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for x\",\n \"if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id\",\n \"once all conditions have been met access_token = self.generate_access_token() token_type\",\n \"URL query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter\",\n \"import Response from io import StringIO try: from werkzeug.exceptions import\",\n \"response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in,\",\n \"# Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\":\",\n \"must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses\",\n \"token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id,\",\n \"logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object\",\n \"is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id,\",\n \"Response from io import StringIO try: from werkzeug.exceptions import Unauthorized\",\n \"import logging from requests import Response from io import StringIO\",\n \"utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code\",\n \"client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect\",\n \"class for different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self,\",\n \"self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope\",\n \"TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not in\",\n \"except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in\",\n \"client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def\",\n \"return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token,\",\n \"This class provides an interface to validate an incoming request\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization):\",\n \":type client_id: str :param client_secret: Client secret. :type client_secret: str\",\n \"3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from\",\n \"value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally,\",\n \"OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as\",\n \"status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body)\",\n \"response body. :type body: str :param headers: Dict of headers\",\n \":param status_code: HTTP status code. :type status_code: int :rtype: requests.Response\",\n \"from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\")\",\n \"client_id, client_secret) # Return True or False validate_scope(self, client_id, scope)\",\n \"was successful. # Return value is ignored \\\"\\\"\\\" @property def\",\n \"parameters. :param body: Buffer/string containing the response body. :type body:\",\n \"redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id\",\n \"successful. # Return value is ignored \\\"\\\"\\\" @property def authorization_class(self):\",\n \"import json import logging from requests import Response from io\",\n \"POST data containing authorization information. :type data: dict :rtype: requests.Response\",\n \"resource provider. This class provides an interface to validate an\",\n \"must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses\",\n \"instead automatically parsing the query string parameters. :param uri: URI\",\n \"response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) #\",\n \"as exc: self._handle_exception(exc) # Catch missing parameters in request err\",\n \"\\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri\",\n \"headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given JSON\",\n \"header = self.get_authorization_header() if not header or not header.split: return\",\n \"params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret,\",\n \"implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must\",\n \"None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params)\",\n \"StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized =\",\n \"is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard\",\n \"= Response() res.status_code = status_code if headers is not None:\",\n \"Must be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID.\",\n \"\\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\"\",\n \"def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\")\",\n \"HTTP response. :param response_type: Desired response type. Must be exactly\",\n \"str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param\",\n \"access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate\",\n \"x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required\",\n \"self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have\",\n \"None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302)\",\n \"Response() res.status_code = status_code if headers is not None: res.headers.update(headers)\",\n \"\\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get\",\n \"reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError,\",\n \"\\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length)\",\n \"validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response\",\n \"exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\")\",\n \"**kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\"\",\n \"token. :param grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type\",\n \"io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError:\",\n \"None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect},\",\n \"is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope =\",\n \"if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"]\",\n \"__init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs)\",\n \"of the request, instead automatically parsing the query string parameters.\",\n \"self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) #\",\n \"\\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params)\",\n \"requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to\",\n \":rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not\",\n \"param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) #\",\n \"\\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method to get\",\n \"not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x))\",\n \":type response_type: str :param client_id: Client ID. :type client_id: str\",\n \"client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id,\",\n \"self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri)\",\n \"is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth\",\n \"error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params =\",\n \"is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\")\",\n \"validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def\",\n \"discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class\",\n \"params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error\",\n \"if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token\",\n \"request and authenticate resource access. Certain methods MUST be overridden\",\n \"headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given parameters.\",\n \"redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure\",\n \"= utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data,\",\n \"return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when\",\n \"parameter response_type in URL query\\\") if \\\"client_id\\\" not in params:\",\n \":type data: mixed :param headers: Dict of headers to include\",\n \"that must be implemented in a subclass: get_authorization_header(self) # Return\",\n \"key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True,\",\n \"different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle\",\n \"in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) #\",\n \":param client_id: Client ID. :type client_id: str :param redirect_uri: Client\",\n \"the response body. :type body: str :param headers: Dict of\",\n \"None on invalid persist_authorization_code(self, client_id, code, scope) # Return value\",\n \":type redirect_uri: str :param code: Authorization code. :type code: str\",\n \"uri): \\\"\\\"\\\"Get authorization code response from a URI. This method\",\n \"implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type,\",\n \"methods that must be implemented in a subclass: validate_client_id(self, client_id)\",\n \"[\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth\",\n \"request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch\",\n \"3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str\",\n \"\\\"\\\"\\\"What to return when the redirect_uri parameter is missing. :rtype:\",\n \"import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized\",\n \"implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must\",\n \"self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a\",\n \"return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\" return\",\n \"token HTTP response. :param grant_type: Desired grant type. Must be\",\n \"for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise\",\n \"self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token,\",\n \"Generate access tokens once all conditions have been met access_token\",\n \"# Return True or False validate_access(self) # Use this to\",\n \"\\\"\\\"\\\"Handle an internal exception that was caught and suppressed. :param\",\n \"True or False from_authorization_code(self, client_id, code, scope) # Return mixed\",\n \"\\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error\",\n \"= header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\"\",\n \"the token expiration time in seconds. :rtype: int \\\"\\\"\\\" return\",\n \"Return True or False validate_access(self) # Use this to validate\",\n \"including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs):\",\n \"that was caught and suppressed. :param exc: Exception to process.\",\n \"str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None,\",\n \"the access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property\",\n \"StandardError as exc: self._handle_exception(exc) # Catch all other server errors\",\n \"met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in\",\n \"redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class\",\n \"grant type. Must be \\\"authorization_code\\\". :type grant_type: str :param client_id:\",\n \"_make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing the error.\",\n \"grant_type: str :param client_id: Client ID. :type client_id: str :param\",\n \"URI. :type redirect_uri: str :param code: Authorization code. :type code:\",\n \"containing authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try:\",\n \"None error = None def raise_error_if_invalid(self): if not self.is_valid: raise\",\n \"expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization\",\n \"= None client_id = None expires_in = None error =\",\n \"information to be used to validate later requests self.persist_token_information( client_id=client_id,\",\n \"= None expires_in = None error = None def raise_error_if_invalid(self):\",\n \"Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None,\",\n \"def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP\",\n \"str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to\",\n \"refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( {\",\n \"Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri:\",\n \"def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a URI.\",\n \"= params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id,\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise\",\n \":type grant_type: str :param client_id: Client ID. :type client_id: str\",\n \"HTTP response from a refresh token. :param grant_type: Desired grant\",\n \"from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response\",\n \"implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must\",\n \"code, scope) is_valid_grant = data is not None # Return\",\n \"\\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This\",\n \"def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def\",\n \"Ensure proper response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\"\",\n \"query string parameters. :param uri: URI to parse for authorization\",\n \"self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope)\",\n \"# Use this to validate your app session user #\",\n \":rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri,\",\n \"40 @property def token_type(self): \\\"\\\"\\\"Property method to get the access\",\n \"exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\",\",\n \":rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What\",\n \"client_id, refresh_token) # Return value ignored Optionally, the following may\",\n \"self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return\",\n \"response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None}\",\n \":param redirect_uri: Client redirect URI. :type redirect_uri: str :param code:\",\n \"client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self,\",\n \"None client_id = None expires_in = None error = None\",\n \"\\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self,\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error,\",\n \"refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self,\",\n \"def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing the\",\n \"or None on invalid persist_authorization_code(self, client_id, code, scope) # Return\",\n \"code. :type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper\",\n \"and authenticate resource access. Certain methods MUST be overridden in\",\n \"was caught and suppressed. :param exc: Exception to process. :type\",\n \"response from a URI. This method will ignore the domain\",\n \"response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\"\",\n \"this class cannot be directly used as a resource provider.\",\n \"redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if\",\n \"{0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch\",\n \"refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth\",\n \"data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return\",\n \"return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization\",\n \"access. Certain methods MUST be overridden in a subclass, thus\",\n \"methods MUST be overridden in a subclass, thus this class\",\n \"token expiration time in seconds. :rtype: int \\\"\\\"\\\" return 3600\",\n \"implemented in a subclass: get_authorization_header(self) # Return header string for\",\n \"must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise\",\n \"\\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers,\",\n \"TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request\",\n \"implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses\",\n \"Desired grant type. Must be \\\"refresh_token\\\". :type grant_type: str :param\",\n \"validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) #\",\n \"for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set\",\n \"self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\")\",\n \"server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must\",\n \"# Return value is ignored \\\"\\\"\\\" @property def authorization_class(self): return\",\n \"is_valid = None token = None client_id = None expires_in\",\n \"} ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params):\",\n \"an interface to validate an incoming request and authenticate resource\",\n \"client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self,\",\n \"super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth\",\n \"the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason\",\n \"refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response\",\n \"manages authorization codes and access tokens. Certain methods MUST be\",\n \"given parameters. :param body: Buffer/string containing the response body. :type\",\n \"Return True or False validate_scope(self, client_id, scope) # Return True\",\n \":param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh\",\n \"client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope\",\n \"# Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self,\",\n \"oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class for different\",\n \"self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) #\",\n \"\\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token,\",\n \"client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def\",\n \"str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params):\",\n \"self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def\",\n \"False is_valid = None token = None client_id = None\",\n \"redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError as exc:\",\n \"# Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access\",\n \"authorization code HTTP response. :param response_type: Desired response type. Must\",\n \"and expires_in attributes # on authorization if authorization was successful.\",\n \"def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data\",\n \"exception that was caught and suppressed. :param exc: Exception to\",\n \"\\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code =\",\n \"\\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if\",\n \"overridden in a subclass, thus this class cannot be directly\",\n \"uri: URI to parse for authorization information. :type uri: str\",\n \"if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\")\",\n \"Handle get token from refresh_token if \\\"refresh_token\\\" in data: return\",\n \"the query string parameters. :param uri: URI to parse for\",\n \"2.0 authorization provider. This class manages authorization codes and access\",\n \"to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope,\",\n \"json import logging from requests import Response from io import\",\n \":type body: str :param headers: Dict of headers to include\",\n \"OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return\",\n \"= \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self,\",\n \"\\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u,\",\n \"automatically parsing the query string parameters. :param uri: URI to\",\n \"= self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\")\",\n \"persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\")\",\n \"Unauthorized = Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base\",\n \"return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code()\",\n \"the methods that must be implemented in a subclass: get_authorization_header(self)\",\n \"in the requests. :type headers: dict :param status_code: HTTP status\",\n \"is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\"\",\n \"status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter\",\n \"and suppressed. :param exc: Exception to process. :type exc: Exception\",\n \"Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") #\",\n \"scope) # Return mixed data or None on invalid persist_authorization_code(self,\",\n \"authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate\",\n \"self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data\",\n \"def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from\",\n \"[\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0\",\n \"OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception\",\n \"def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\"\",\n \"# Return mixed data or None on invalid persist_authorization_code(self, client_id,\",\n \"err): \\\"\\\"\\\"Return a JSON-encoded response object representing the error. :param\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise\",\n \"client_id, redirect_uri) # Return True or False validate_access(self) # Use\",\n \"ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\"\",\n \"random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self):\",\n \"mixed :param headers: Dict of headers to include in the\",\n \"is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token)\",\n \"generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\" return\",\n \"Catch missing parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\"\",\n \"\\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return\",\n \"to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import\",\n \"authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if not header\",\n \"from the given JSON data. :param data: Data to JSON-encode.\",\n \":type redirect_uri: str :param err: OAuth error message. :type err:\",\n \"scope=scope) # Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None,\",\n \"exactly \\\"code\\\". :type response_type: str :param client_id: Client ID. :type\",\n \"when the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return\",\n \"in a subclass: get_authorization_header(self) # Return header string for key\",\n \"def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self,\",\n \"response_type: Desired response type. Must be exactly \\\"code\\\". :type response_type:\",\n \"Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope\",\n \"client_id = None expires_in = None error = None def\",\n \"Return mixed data or None on invalid persist_authorization_code(self, client_id, code,\",\n \"token = None client_id = None expires_in = None error\",\n \"in params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return\",\n \"from a URI. This method will ignore the domain and\",\n \"mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope)\",\n \"is not None # Return proper error responses on invalid\",\n \"return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\")\",\n \"thus this class cannot be directly used as a resource\",\n \"provider class for different types of OAuth 2.0 providers.\\\"\\\"\\\" def\",\n \"subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id,\",\n \"redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response object containing\",\n \"a token response from POST data. :param data: POST data\",\n \"uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if\",\n \"try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception\",\n \"is_valid_refresh_token = data is not None # Return proper error\",\n \"# Handle get token from refresh_token if \\\"refresh_token\\\" in data:\",\n \"length used to generate tokens. :rtype: int \\\"\\\"\\\" return 40\",\n \"return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\":\",\n \"to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in,\",\n \"raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle\",\n \"> 1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token\",\n \"Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens\",\n \"\\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id,\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise\",\n \":param data: Data to JSON-encode. :type data: mixed :param headers:\",\n \"\\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code)\",\n \"is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id,\",\n \"missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc:\",\n \"logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return\",\n \"client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) #\",\n \"headers: Dict of headers to include in the requests. :type\",\n \":param code: Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"directly used as a resource provider. These are the methods\",\n \"_make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response object\",\n \"None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\":\",\n \"response object representing the error. :param err: OAuth error message.\",\n \"parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider):\",\n \"get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response.\",\n \"in URL query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing\",\n \"access token HTTP response from a refresh token. :param grant_type:\",\n \"code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return\",\n \"object representing the error. :param err: OAuth error message. :type\",\n \"\\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect\",\n \"redirect URI. :type redirect_uri: str :param err: OAuth error message.\",\n \"None token = None client_id = None expires_in = None\",\n \"client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect\",\n \"grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response\",\n \"HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res\",\n \"client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response.\",\n \"redirect_uri: str :param code: Authorization code. :type code: str :rtype:\",\n \"token_length(self): \\\"\\\"\\\"Property method to get the length used to generate\",\n \"\\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length)\",\n \"not in params: raise TypeError(\\\"Missing parameter response_type in URL query\\\")\",\n \"access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self,\",\n \"requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"refresh_token\\\":\",\n \"a random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def\",\n \"\\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri in URL\",\n \"data is not None # Return proper error responses on\",\n \"client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str\",\n \"import utils class Provider(object): \\\"\\\"\\\"Base provider class for different types\",\n \"validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self,\",\n \"self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions\",\n \"error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error,\",\n \"not None # Return proper error responses on invalid conditions\",\n \"redirect response object containing the error. :param redirect_uri: Client redirect\",\n \"POST data. :param data: POST data containing authorization information. :type\",\n \"token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type,\",\n \"return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code) #\",\n \"These are the methods that must be implemented in a\",\n \"grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions\",\n \"str :param client_secret: Client secret. :type client_secret: str :param redirect_uri:\",\n \"client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type:\",\n \"str :param err: OAuth error message. :type err: str :rtype:\",\n \"= \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err =\",\n \"{\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect\",\n \"discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def\",\n \"Provider(object): \\\"\\\"\\\"Base provider class for different types of OAuth 2.0\",\n \"auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses\",\n \"in params: raise TypeError(\\\"Missing parameter client_id in URL query\\\") if\",\n \"data): \\\"\\\"\\\"Get a token response from POST data. :param data:\",\n \"refresh_token) # Return value ignored Optionally, the following may be\",\n \"the methods that must be implemented in a subclass: validate_client_id(self,\",\n \"**params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired grant\",\n \"status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers\",\n \"self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters\",\n \"= params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id,\",\n \"scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise\",\n \"must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses\",\n \"authorization codes and access tokens. Certain methods MUST be overridden\",\n \"response object from the given JSON data. :param data: Data\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise\",\n \"client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id,\",\n \"expiration time in seconds. :rtype: int \\\"\\\"\\\" return 3600 def\",\n \"\\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect},\",\n \"the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str\",\n \"redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\":\",\n \"True or False validate_scope(self, client_id, scope) # Return True or\",\n \"token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a\",\n \"str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\"\",\n \"error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\":\",\n \"be directly used as a resource provider. These are the\",\n \"u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get\",\n \"and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if\",\n \"= reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing\",\n \"response object from the given parameters. :param body: Buffer/string containing\",\n \"self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages\",\n \"requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, )\",\n \"\\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token,\",\n \":type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type\",\n \"Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored\",\n \"raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except\",\n \"params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as\",\n \"status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res =\",\n \"def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token\",\n \"grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type grant_type: str\",\n \"implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses\",\n \"token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() #\",\n \"status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing\",\n \"\\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an interface to\",\n \"\\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code\",\n \"refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if\",\n \"access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement\",\n \"proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check\",\n \"not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self,\",\n \"the given JSON data. :param data: Data to JSON-encode. :type\",\n \"= \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data),\",\n \"\\\"\\\"\\\"Property method to get the token expiration time in seconds.\",\n \"# Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in,\",\n \"class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def\",\n \"OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get token from\",\n \"def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\")\",\n \"MUST be overridden in a subclass, thus this class cannot\",\n \"# Return value ignored discard_authorization_code(self, client_id, code) # Return value\",\n \"ID. :type client_id: str :param redirect_uri: Client redirect URI. :type\",\n \"from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle\",\n \"authorization) # Set is_valid=True, client_id, and expires_in attributes # on\",\n \"data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given\",\n \"codes and access tokens. Certain methods MUST be overridden in\",\n \"= self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None\",\n \"if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get token\",\n \"refresh_token = self.generate_refresh_token() # Save information to be used to\",\n \"data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) #\",\n \"response object containing the error. :param redirect_uri: Client redirect URI.\",\n \"if authorization was successful. # Return value is ignored \\\"\\\"\\\"\",\n \"self.authorization_class() header = self.get_authorization_header() if not header or not header.split:\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope,\",\n \"on authorization if authorization was successful. # Return value is\",\n \"OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token\",\n \":param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"header string for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization)\",\n \"be implemented in a subclass: get_authorization_header(self) # Return header string\",\n \"and access tokens. Certain methods MUST be overridden in a\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise\",\n \"= \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return\",\n \"is_valid_grant = data is not None # Return proper error\",\n \"str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type\",\n \"return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\")\",\n \"# Return mixed data or None on invalid from_refresh_token(self, client_id,\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including\",\n \"= params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper\",\n \"token from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if\",\n \"= self.authorization_class() header = self.get_authorization_header() if not header or not\",\n \"or False validate_scope(self, client_id, scope) # Return True or False\",\n \"= data is not None # Return proper error responses\",\n \"if not header or not header.split: return auth header =\",\n \"value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data)\",\n \"# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope\",\n \"\\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data):\",\n \"ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an interface\",\n \"token HTTP response from a refresh token. :param grant_type: Desired\",\n \"authorization code response from a URI. This method will ignore\",\n \"a subclass: get_authorization_header(self) # Return header string for key \\\"Authorization\\\"\",\n \"\\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID. :type client_id:\",\n \"get the length used to generate tokens. :rtype: int \\\"\\\"\\\"\",\n \"auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not\",\n \"if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id =\",\n \"or False from_authorization_code(self, client_id, code, scope) # Return mixed data\",\n \":param headers: Dict of headers to include in the requests.\",\n \"validate_access(self) # Use this to validate your app session user\",\n \"to get the access token type. :rtype: str \\\"\\\"\\\" return\",\n \"responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return\",\n \"class cannot be directly used as a resource provider. These\",\n \"random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self,\",\n \"to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self)\",\n \"information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri)\",\n \"parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError as\",\n \"@property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object\",\n \"redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired\",\n \"get token from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]:\",\n \"# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret)\"\n]","isConversational":false}}},{"rowIdx":796,"cells":{"ngram":{"kind":"list like","value":["(w,h) a tuple for resizing the input images to the","base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images","we can see, 21 may be the best cluster number",") # #clustering for feature maps # m.imagecluster() #As we","model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the","for feature maps # m.imagecluster() #As we can see, 21","calculates every k in range(2,30+1) ) # calculate the feature","maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for","k in range(2,30+1) ) # calculate the feature maps #","a tuple for resizing the input images to the same","call the resorted_img function to label the images under different","clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is","the best cluster number for this dataset. #So,we can call","dataset. #So,we can call the resorted_img function to label the","same shape # ) # #clustering for feature maps #","maps # m.imagecluster() #As we can see, 21 may be","# ) # #clustering for feature maps # m.imagecluster() #As","maxK=150,#the max k num is 30, which means ImageCluster calculates","images under different folders m.resorted_img( selected_k_num=100# a int number in","feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple","algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means","different folders m.resorted_img( selected_k_num=100# a int number in range[2,maxK] )","map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm","label the images under different folders m.resorted_img( selected_k_num=100# a int","cluster number for this dataset. #So,we can call the resorted_img","under different folders m.resorted_img( selected_k_num=100# a int number in range[2,maxK]","tuple for resizing the input images to the same shape","the same shape # ) # #clustering for feature maps","resizing the input images to the same shape # )","# #clustering for feature maps # m.imagecluster() #As we can","every k in range(2,30+1) ) # calculate the feature maps","input images to the same shape # ) # #clustering","see, 21 may be the best cluster number for this","# calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) #","num is 30, which means ImageCluster calculates every k in","in range(2,30+1) ) # calculate the feature maps # m.get_feature_map(","to label the images under different folders m.resorted_img( selected_k_num=100# a","is 30, which means ImageCluster calculates every k in range(2,30+1)","import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder","can see, 21 may be the best cluster number for","ImageCluster calculates every k in range(2,30+1) ) # calculate the","ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for","#As we can see, 21 may be the best cluster","base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster","from model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model","cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which","# resize_shape=(224,224) # (w,h) a tuple for resizing the input","# m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing","be the best cluster number for this dataset. #So,we can","the resorted_img function to label the images under different folders","the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a","<reponame>TomHacker/ImageCluster from model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor","for resizing the input images to the same shape #","#So,we can call the resorted_img function to label the images","calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h)","# m.imagecluster() #As we can see, 21 may be the","feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster","means ImageCluster calculates every k in range(2,30+1) ) # calculate","feature maps # m.imagecluster() #As we can see, 21 may","21 may be the best cluster number for this dataset.","which means ImageCluster calculates every k in range(2,30+1) ) #","number for this dataset. #So,we can call the resorted_img function","function to label the images under different folders m.resorted_img( selected_k_num=100#","k num is 30, which means ImageCluster calculates every k",") # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224)","resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max","resorted_img function to label the images under different folders m.resorted_img(","m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered","range(2,30+1) ) # calculate the feature maps # m.get_feature_map( #","best cluster number for this dataset. #So,we can call the","for this dataset. #So,we can call the resorted_img function to","this dataset. #So,we can call the resorted_img function to label","the images under different folders m.resorted_img( selected_k_num=100# a int number","to the same shape # ) # #clustering for feature","resize_shape=(224,224) # (w,h) a tuple for resizing the input images","#clustering for feature maps # m.imagecluster() #As we can see,","folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k","images to the same shape # ) # #clustering for","images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30,","extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data',","shape # ) # #clustering for feature maps # m.imagecluster()","the input images to the same shape # ) #","30, which means ImageCluster calculates every k in range(2,30+1) )","may be the best cluster number for this dataset. #So,we","m.imagecluster() #As we can see, 21 may be the best","can call the resorted_img function to label the images under","# (w,h) a tuple for resizing the input images to","m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the","max k num is 30, which means ImageCluster calculates every","model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the","for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num"],"string":"[\n \"(w,h) a tuple for resizing the input images to the\",\n \"base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images\",\n \"we can see, 21 may be the best cluster number\",\n \") # #clustering for feature maps # m.imagecluster() #As we\",\n \"model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the\",\n \"for feature maps # m.imagecluster() #As we can see, 21\",\n \"calculates every k in range(2,30+1) ) # calculate the feature\",\n \"maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for\",\n \"k in range(2,30+1) ) # calculate the feature maps #\",\n \"a tuple for resizing the input images to the same\",\n \"call the resorted_img function to label the images under different\",\n \"clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is\",\n \"the best cluster number for this dataset. #So,we can call\",\n \"dataset. #So,we can call the resorted_img function to label the\",\n \"same shape # ) # #clustering for feature maps #\",\n \"maps # m.imagecluster() #As we can see, 21 may be\",\n \"# ) # #clustering for feature maps # m.imagecluster() #As\",\n \"maxK=150,#the max k num is 30, which means ImageCluster calculates\",\n \"images under different folders m.resorted_img( selected_k_num=100# a int number in\",\n \"feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple\",\n \"algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means\",\n \"different folders m.resorted_img( selected_k_num=100# a int number in range[2,maxK] )\",\n \"map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm\",\n \"label the images under different folders m.resorted_img( selected_k_num=100# a int\",\n \"cluster number for this dataset. #So,we can call the resorted_img\",\n \"under different folders m.resorted_img( selected_k_num=100# a int number in range[2,maxK]\",\n \"tuple for resizing the input images to the same shape\",\n \"the same shape # ) # #clustering for feature maps\",\n \"resizing the input images to the same shape # )\",\n \"# #clustering for feature maps # m.imagecluster() #As we can\",\n \"every k in range(2,30+1) ) # calculate the feature maps\",\n \"input images to the same shape # ) # #clustering\",\n \"see, 21 may be the best cluster number for this\",\n \"# calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) #\",\n \"num is 30, which means ImageCluster calculates every k in\",\n \"in range(2,30+1) ) # calculate the feature maps # m.get_feature_map(\",\n \"to label the images under different folders m.resorted_img( selected_k_num=100# a\",\n \"is 30, which means ImageCluster calculates every k in range(2,30+1)\",\n \"import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder\",\n \"can see, 21 may be the best cluster number for\",\n \"ImageCluster calculates every k in range(2,30+1) ) # calculate the\",\n \"ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for\",\n \"#As we can see, 21 may be the best cluster\",\n \"base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster\",\n \"from model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model\",\n \"cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which\",\n \"# resize_shape=(224,224) # (w,h) a tuple for resizing the input\",\n \"# m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing\",\n \"be the best cluster number for this dataset. #So,we can\",\n \"the resorted_img function to label the images under different folders\",\n \"the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a\",\n \"<reponame>TomHacker/ImageCluster from model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor\",\n \"for resizing the input images to the same shape #\",\n \"#So,we can call the resorted_img function to label the images\",\n \"calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h)\",\n \"# m.imagecluster() #As we can see, 21 may be the\",\n \"feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster\",\n \"means ImageCluster calculates every k in range(2,30+1) ) # calculate\",\n \"feature maps # m.imagecluster() #As we can see, 21 may\",\n \"21 may be the best cluster number for this dataset.\",\n \"which means ImageCluster calculates every k in range(2,30+1) ) #\",\n \"number for this dataset. #So,we can call the resorted_img function\",\n \"function to label the images under different folders m.resorted_img( selected_k_num=100#\",\n \"k num is 30, which means ImageCluster calculates every k\",\n \") # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224)\",\n \"resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max\",\n \"resorted_img function to label the images under different folders m.resorted_img(\",\n \"m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered\",\n \"range(2,30+1) ) # calculate the feature maps # m.get_feature_map( #\",\n \"best cluster number for this dataset. #So,we can call the\",\n \"for this dataset. #So,we can call the resorted_img function to\",\n \"this dataset. #So,we can call the resorted_img function to label\",\n \"the images under different folders m.resorted_img( selected_k_num=100# a int number\",\n \"to the same shape # ) # #clustering for feature\",\n \"resize_shape=(224,224) # (w,h) a tuple for resizing the input images\",\n \"#clustering for feature maps # m.imagecluster() #As we can see,\",\n \"folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k\",\n \"images to the same shape # ) # #clustering for\",\n \"images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30,\",\n \"extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data',\",\n \"shape # ) # #clustering for feature maps # m.imagecluster()\",\n \"the input images to the same shape # ) #\",\n \"30, which means ImageCluster calculates every k in range(2,30+1) )\",\n \"may be the best cluster number for this dataset. #So,we\",\n \"m.imagecluster() #As we can see, 21 may be the best\",\n \"can call the resorted_img function to label the images under\",\n \"# (w,h) a tuple for resizing the input images to\",\n \"m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the\",\n \"max k num is 30, which means ImageCluster calculates every\",\n \"model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the\",\n \"for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num\"\n]","isConversational":false}}},{"rowIdx":797,"cells":{"ngram":{"kind":"list like","value":["# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","# # Licensed under the Apache License, Version 2.0 (the","compliance with the License. # You may obtain a copy","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","2.0 (the \"License\"); # you may not use this file","agreed to in writing, software # distributed under the License","file except in compliance with the License. # You may","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","Unless required by applicable law or agreed to in writing,","import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self):","torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return {\"loss\": torch.as_tensor(1),","distributed under the License is distributed on an \"AS IS\"","permissions and # limitations under the License. import torch from","the specific language governing permissions and # limitations under the","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","express or implied. # See the License for the specific","applicable law or agreed to in writing, software # distributed","except in compliance with the License. # You may obtain","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","1}} def val_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}}","Licensed under the Apache License, Version 2.0 (the \"License\"); #","not use this file except in compliance with the License.","rights reserved. # # Licensed under the Apache License, Version","writing, software # distributed under the License is distributed on","in writing, software # distributed under the License is distributed","you may not use this file except in compliance with","super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch):","# Licensed under the Apache License, Version 2.0 (the \"License\");","language governing permissions and # limitations under the License. import","DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self,","use this file except in compliance with the License. #","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","# Copyright (c) 2021 GradsFlow. All rights reserved. # #","reserved. # # Licensed under the Apache License, Version 2.0","CONDITIONS OF ANY KIND, either express or implied. # See","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","or implied. # See the License for the specific language","License is distributed on an \"AS IS\" BASIS, # WITHOUT","# limitations under the License. import torch from gradsflow.models import","License. # You may obtain a copy of the License","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","License, Version 2.0 (the \"License\"); # you may not use","{\"accuracy\": 1}} def val_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\":","# You may obtain a copy of the License at","KIND, either express or implied. # See the License for","specific language governing permissions and # limitations under the License.","under the License is distributed on an \"AS IS\" BASIS,","torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","License for the specific language governing permissions and # limitations","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","Copyright (c) 2021 GradsFlow. All rights reserved. # # Licensed","License. import torch from gradsflow.models import Model class DummyModel(Model): def","governing permissions and # limitations under the License. import torch","__init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor):","the License for the specific language governing permissions and #","and # limitations under the License. import torch from gradsflow.models","(the \"License\"); # you may not use this file except","Apache License, Version 2.0 (the \"License\"); # you may not","# you may not use this file except in compliance","either express or implied. # See the License for the","under the License. import torch from gradsflow.models import Model class","OR CONDITIONS OF ANY KIND, either express or implied. #","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}}","the License is distributed on an \"AS IS\" BASIS, #","in compliance with the License. # You may obtain a","the License. import torch from gradsflow.models import Model class DummyModel(Model):","gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1,","learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return","software # distributed under the License is distributed on an","limitations under the License. import torch from gradsflow.models import Model","# # Unless required by applicable law or agreed to","= torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None","train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self,","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss:","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def","Version 2.0 (the \"License\"); # you may not use this","law or agreed to in writing, software # distributed under","4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self,","Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner)","implied. # See the License for the specific language governing","from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner =","under the Apache License, Version 2.0 (the \"License\"); # you","\"License\"); # you may not use this file except in","\"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\":","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch):","All rights reserved. # # Licensed under the Apache License,","return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\":","by applicable law or agreed to in writing, software #","# distributed under the License is distributed on an \"AS","OF ANY KIND, either express or implied. # See the","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","may obtain a copy of the License at # #","# Unless required by applicable law or agreed to in","2021 GradsFlow. All rights reserved. # # Licensed under the","ANY KIND, either express or implied. # See the License","See the License for the specific language governing permissions and","the License. # You may obtain a copy of the","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","for the specific language governing permissions and # limitations under","GradsFlow. All rights reserved. # # Licensed under the Apache","backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\"loss\":","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","to in writing, software # distributed under the License is","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","# See the License for the specific language governing permissions","import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4)","You may obtain a copy of the License at #","torch.Tensor): return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\":","may not use this file except in compliance with the","(c) 2021 GradsFlow. All rights reserved. # # Licensed under","or agreed to in writing, software # distributed under the","def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def","required by applicable law or agreed to in writing, software","return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","with the License. # You may obtain a copy of","this file except in compliance with the License. # You","class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def","the Apache License, Version 2.0 (the \"License\"); # you may","{\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return {\"loss\":","def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return","loss: torch.Tensor): return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1),"],"string":"[\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"# # Licensed under the Apache License, Version 2.0 (the\",\n \"compliance with the License. # You may obtain a copy\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"2.0 (the \\\"License\\\"); # you may not use this file\",\n \"agreed to in writing, software # distributed under the License\",\n \"file except in compliance with the License. # You may\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"Unless required by applicable law or agreed to in writing,\",\n \"import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self):\",\n \"torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1),\",\n \"distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"permissions and # limitations under the License. import torch from\",\n \"the specific language governing permissions and # limitations under the\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"express or implied. # See the License for the specific\",\n \"applicable law or agreed to in writing, software # distributed\",\n \"except in compliance with the License. # You may obtain\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"1}} def val_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}}\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"not use this file except in compliance with the License.\",\n \"rights reserved. # # Licensed under the Apache License, Version\",\n \"writing, software # distributed under the License is distributed on\",\n \"in writing, software # distributed under the License is distributed\",\n \"you may not use this file except in compliance with\",\n \"super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch):\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"language governing permissions and # limitations under the License. import\",\n \"DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self,\",\n \"use this file except in compliance with the License. #\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"# Copyright (c) 2021 GradsFlow. All rights reserved. # #\",\n \"reserved. # # Licensed under the Apache License, Version 2.0\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"or implied. # See the License for the specific language\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"# limitations under the License. import torch from gradsflow.models import\",\n \"License. # You may obtain a copy of the License\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"{\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\":\",\n \"# You may obtain a copy of the License at\",\n \"KIND, either express or implied. # See the License for\",\n \"specific language governing permissions and # limitations under the License.\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"License for the specific language governing permissions and # limitations\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"Copyright (c) 2021 GradsFlow. All rights reserved. # # Licensed\",\n \"License. import torch from gradsflow.models import Model class DummyModel(Model): def\",\n \"governing permissions and # limitations under the License. import torch\",\n \"__init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor):\",\n \"the License for the specific language governing permissions and #\",\n \"and # limitations under the License. import torch from gradsflow.models\",\n \"(the \\\"License\\\"); # you may not use this file except\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"# you may not use this file except in compliance\",\n \"either express or implied. # See the License for the\",\n \"under the License. import torch from gradsflow.models import Model class\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}}\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"in compliance with the License. # You may obtain a\",\n \"the License. import torch from gradsflow.models import Model class DummyModel(Model):\",\n \"gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1,\",\n \"learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return\",\n \"software # distributed under the License is distributed on an\",\n \"limitations under the License. import torch from gradsflow.models import Model\",\n \"# # Unless required by applicable law or agreed to\",\n \"= torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None\",\n \"train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self,\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss:\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"law or agreed to in writing, software # distributed under\",\n \"4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self,\",\n \"Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner)\",\n \"implied. # See the License for the specific language governing\",\n \"from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner =\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"\\\"License\\\"); # you may not use this file except in\",\n \"\\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\":\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch):\",\n \"All rights reserved. # # Licensed under the Apache License,\",\n \"return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\":\",\n \"by applicable law or agreed to in writing, software #\",\n \"# distributed under the License is distributed on an \\\"AS\",\n \"OF ANY KIND, either express or implied. # See the\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"may obtain a copy of the License at # #\",\n \"# Unless required by applicable law or agreed to in\",\n \"2021 GradsFlow. All rights reserved. # # Licensed under the\",\n \"ANY KIND, either express or implied. # See the License\",\n \"See the License for the specific language governing permissions and\",\n \"the License. # You may obtain a copy of the\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"for the specific language governing permissions and # limitations under\",\n \"GradsFlow. All rights reserved. # # Licensed under the Apache\",\n \"backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\":\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"to in writing, software # distributed under the License is\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"# See the License for the specific language governing permissions\",\n \"import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4)\",\n \"You may obtain a copy of the License at #\",\n \"torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\":\",\n \"may not use this file except in compliance with the\",\n \"(c) 2021 GradsFlow. All rights reserved. # # Licensed under\",\n \"or agreed to in writing, software # distributed under the\",\n \"def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def\",\n \"required by applicable law or agreed to in writing, software\",\n \"return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"with the License. # You may obtain a copy of\",\n \"this file except in compliance with the License. # You\",\n \"class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"{\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\":\",\n \"def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return\",\n \"loss: torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1),\"\n]","isConversational":false}}},{"rowIdx":798,"cells":{"ngram":{"kind":"list like","value":["over console cable but you can use underlaying method to","def __repr__(self): return \"Executor serial: %s\" % (self.device) __str__ =","to recognize a device with cisco like commands. \"\"\" def","= parity self.stopbits = stopbits self.bytesize = bytesize self.timeout =","0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input","self.baudrate = baudrate self.type = type self.parity = parity self.stopbits",".ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor","j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\"","JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class","primary made to communicate with devices (routers, switch, ...) over","self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity,","timeout=self.timeout, ) return True @property def id(self): if self._id is","self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def","stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if","if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\",","fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command)","checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True):","Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import *","return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\",","self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate,","import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made","baudrate self.type = type self.parity = parity self.stopbits = stopbits","def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize,","execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\"","= baudrate self.type = type self.parity = parity self.stopbits =","switch, ...) over console cable but you can use underlaying","any serial device. Please note that default mode attempt to","timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type","device with cisco like commands. \"\"\" def __init__(self, device, baudrate=9600,","serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to","with any serial device. Please note that default mode attempt","timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console","send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\")","def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self,","reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout,","serial device. Please note that default mode attempt to recognize","die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\",","__init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False)","to communicate with devices (routers, switch, ...) over console cable","enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None):","made to communicate with devices (routers, switch, ...) over console","createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise","None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device,","cisco like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\",","with devices (routers, switch, ...) over console cable but you","self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id","baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def","self.type = type self.parity = parity self.stopbits = stopbits self.bytesize","def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self,","default mode attempt to recognize a device with cisco like","not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\"","stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate =","command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise","input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\")","from Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import","j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented()","showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True,",") return True @property def id(self): if self._id is None:","commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8,","serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True","timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"):","upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self,","parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout","% cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return","raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise","% (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True,","a device with cisco like commands. \"\"\" def __init__(self, device,","import j JSBASE = j.baseclasses.object from .ExecutorBase import * import","bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch()","communicate with any serial device. Please note that default mode","def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def","= stopbits self.bytesize = bytesize self.timeout = timeout self._id =","True @property def id(self): if self._id is None: self._id =","raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented()","executor is primary made to communicate with devices (routers, switch,","= self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def","...) over console cable but you can use underlaying method","self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self,","that default mode attempt to recognize a device with cisco","to communicate with any serial device. Please note that default","input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True,","Please note that default mode attempt to recognize a device","(self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0,","use underlaying method to communicate with any serial device. Please","def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command:","self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, )","def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command):","is None: self._id = \"serial.%s\" % (self.device) return self._id def","return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self):","you can use underlaying method to communicate with any serial","cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" %","self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits,","but you can use underlaying method to communicate with any","_execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source,","with cisco like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\",","can use underlaying method to communicate with any serial device.","type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize","def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True,","@property def id(self): if self._id is None: self._id = \"serial.%s\"","cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0,","mode attempt to recognize a device with cisco like commands.","command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\"","j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def","None: self._id = \"serial.%s\" % (self.device) return self._id def execute(self,","j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial","self.send(cmds) return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def","= j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase):","cable but you can use underlaying method to communicate with","return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}):","\"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1):","__repr__(self): return \"Executor serial: %s\" % (self.device) __str__ = __repr__","= timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self):","recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\" %","= bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect()","= type self.parity = parity self.stopbits = stopbits self.bytesize =","data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def","self._id = \"serial.%s\" % (self.device) return self._id def execute(self, cmds,","self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented()","console cable but you can use underlaying method to communicate","\"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input =","self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout","return True @property def id(self): if self._id is None: self._id","\"\"\" This executor is primary made to communicate with devices","= serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return","device self.baudrate = baudrate self.type = type self.parity = parity","underlaying method to communicate with any serial device. Please note","ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to communicate with","= device self.baudrate = baudrate self.type = type self.parity =","self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def","parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self):","checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if","self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self,","self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds +=","def id(self): if self._id is None: self._id = \"serial.%s\" %","cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self,","import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is","dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\",","dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial:","download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return","attempt to recognize a device with cisco like commands. \"\"\"","j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\" % (self.device) __str__","%s\" % cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds)","from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This","bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id","id(self): if self._id is None: self._id = \"serial.%s\" % (self.device)","bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate","\"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all()","source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source,","dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest,","\"serial.%s\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None,","class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to communicate","showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if not","* import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary","like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1,","self.device = device self.baudrate = baudrate self.type = type self.parity","method to communicate with any serial device. Please note that","port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property","def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self):","+= \"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self, data):","raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\" % (self.device)","cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\" def","env={}): self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds","<reponame>gneumann333/jumpscaleX_core from Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase","baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device =","communicate with devices (routers, switch, ...) over console cable but","parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate","recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True):","This executor is primary made to communicate with devices (routers,","= \"serial.%s\" % (self.device) return self._id def execute(self, cmds, die=True,","is primary made to communicate with devices (routers, switch, ...)","stopbits self.bytesize = bytesize self.timeout = timeout self._id = None","die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds)","source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor","device. Please note that default mode attempt to recognize a","\"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\"))","note that default mode attempt to recognize a device with","self._id is None: self._id = \"serial.%s\" % (self.device) return self._id","self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial","self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\")","devices (routers, switch, ...) over console cable but you can","type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device","def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return","device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device","source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\"","= None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial(","ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type =","content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest,","if self._id is None: self._id = \"serial.%s\" % (self.device) return","checkok=False) self.device = device self.baudrate = baudrate self.type = type","recognize a device with cisco like commands. \"\"\" def __init__(self,","self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console =","(routers, switch, ...) over console cable but you can use"],"string":"[\n \"over console cable but you can use underlaying method to\",\n \"def __repr__(self): return \\\"Executor serial: %s\\\" % (self.device) __str__ =\",\n \"to recognize a device with cisco like commands. \\\"\\\"\\\" def\",\n \"= parity self.stopbits = stopbits self.bytesize = bytesize self.timeout =\",\n \"0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input\",\n \"self.baudrate = baudrate self.type = type self.parity = parity self.stopbits\",\n \".ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor\",\n \"j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\"\",\n \"JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class\",\n \"primary made to communicate with devices (routers, switch, ...) over\",\n \"self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity,\",\n \"timeout=self.timeout, ) return True @property def id(self): if self._id is\",\n \"self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def\",\n \"stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if\",\n \"if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\",\",\n \"fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command)\",\n \"checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True):\",\n \"Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import *\",\n \"return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\",\",\n \"self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate,\",\n \"import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made\",\n \"baudrate self.type = type self.parity = parity self.stopbits = stopbits\",\n \"def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize,\",\n \"execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\"\",\n \"= baudrate self.type = type self.parity = parity self.stopbits =\",\n \"switch, ...) over console cable but you can use underlaying\",\n \"any serial device. Please note that default mode attempt to\",\n \"timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type\",\n \"device with cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600,\",\n \"serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to\",\n \"with any serial device. Please note that default mode attempt\",\n \"timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console\",\n \"send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\")\",\n \"def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self,\",\n \"reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout,\",\n \"serial device. Please note that default mode attempt to recognize\",\n \"die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\",\",\n \"__init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False)\",\n \"to communicate with devices (routers, switch, ...) over console cable\",\n \"enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None):\",\n \"made to communicate with devices (routers, switch, ...) over console\",\n \"createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise\",\n \"None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device,\",\n \"cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\",\",\n \"with devices (routers, switch, ...) over console cable but you\",\n \"self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id\",\n \"baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def\",\n \"self.type = type self.parity = parity self.stopbits = stopbits self.bytesize\",\n \"def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self,\",\n \"default mode attempt to recognize a device with cisco like\",\n \"not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\"\",\n \"stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate =\",\n \"command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise\",\n \"input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\")\",\n \"from Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import\",\n \"j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented()\",\n \"showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True,\",\n \") return True @property def id(self): if self._id is None:\",\n \"commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8,\",\n \"serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True\",\n \"timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"):\",\n \"upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self,\",\n \"parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout\",\n \"% cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return\",\n \"raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise\",\n \"% (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True,\",\n \"a device with cisco like commands. \\\"\\\"\\\" def __init__(self, device,\",\n \"import j JSBASE = j.baseclasses.object from .ExecutorBase import * import\",\n \"bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch()\",\n \"communicate with any serial device. Please note that default mode\",\n \"def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def\",\n \"= stopbits self.bytesize = bytesize self.timeout = timeout self._id =\",\n \"True @property def id(self): if self._id is None: self._id =\",\n \"raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented()\",\n \"executor is primary made to communicate with devices (routers, switch,\",\n \"= self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def\",\n \"...) over console cable but you can use underlaying method\",\n \"self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self,\",\n \"that default mode attempt to recognize a device with cisco\",\n \"to communicate with any serial device. Please note that default\",\n \"input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True,\",\n \"Please note that default mode attempt to recognize a device\",\n \"(self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0,\",\n \"use underlaying method to communicate with any serial device. Please\",\n \"def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command:\",\n \"self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, )\",\n \"def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command):\",\n \"is None: self._id = \\\"serial.%s\\\" % (self.device) return self._id def\",\n \"return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self):\",\n \"you can use underlaying method to communicate with any serial\",\n \"cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" %\",\n \"self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits,\",\n \"but you can use underlaying method to communicate with any\",\n \"_execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source,\",\n \"with cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\",\",\n \"can use underlaying method to communicate with any serial device.\",\n \"type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize\",\n \"def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True,\",\n \"@property def id(self): if self._id is None: self._id = \\\"serial.%s\\\"\",\n \"cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0,\",\n \"mode attempt to recognize a device with cisco like commands.\",\n \"command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\"\",\n \"j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def\",\n \"None: self._id = \\\"serial.%s\\\" % (self.device) return self._id def execute(self,\",\n \"j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial\",\n \"self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def\",\n \"= j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase):\",\n \"cable but you can use underlaying method to communicate with\",\n \"return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}):\",\n \"\\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1):\",\n \"__repr__(self): return \\\"Executor serial: %s\\\" % (self.device) __str__ = __repr__\",\n \"= timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self):\",\n \"recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\" %\",\n \"= bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect()\",\n \"= type self.parity = parity self.stopbits = stopbits self.bytesize =\",\n \"data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def\",\n \"self._id = \\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds,\",\n \"self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented()\",\n \"console cable but you can use underlaying method to communicate\",\n \"\\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input =\",\n \"self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout\",\n \"return True @property def id(self): if self._id is None: self._id\",\n \"\\\"\\\"\\\" This executor is primary made to communicate with devices\",\n \"= serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return\",\n \"device self.baudrate = baudrate self.type = type self.parity = parity\",\n \"underlaying method to communicate with any serial device. Please note\",\n \"ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to communicate with\",\n \"= device self.baudrate = baudrate self.type = type self.parity =\",\n \"self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def\",\n \"parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self):\",\n \"checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if\",\n \"self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self,\",\n \"self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds +=\",\n \"def id(self): if self._id is None: self._id = \\\"serial.%s\\\" %\",\n \"cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self,\",\n \"import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is\",\n \"dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\",\",\n \"dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial:\",\n \"download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return\",\n \"attempt to recognize a device with cisco like commands. \\\"\\\"\\\"\",\n \"j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\" % (self.device) __str__\",\n \"%s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds)\",\n \"from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This\",\n \"bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id\",\n \"id(self): if self._id is None: self._id = \\\"serial.%s\\\" % (self.device)\",\n \"bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate\",\n \"\\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all()\",\n \"source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source,\",\n \"dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest,\",\n \"\\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None,\",\n \"class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to communicate\",\n \"showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not\",\n \"* import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary\",\n \"like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1,\",\n \"self.device = device self.baudrate = baudrate self.type = type self.parity\",\n \"method to communicate with any serial device. Please note that\",\n \"port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property\",\n \"def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self):\",\n \"+= \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data):\",\n \"raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\" % (self.device)\",\n \"cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def\",\n \"env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds\",\n \"<reponame>gneumann333/jumpscaleX_core from Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase\",\n \"baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device =\",\n \"communicate with devices (routers, switch, ...) over console cable but\",\n \"parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate\",\n \"recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True):\",\n \"This executor is primary made to communicate with devices (routers,\",\n \"= \\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds, die=True,\",\n \"is primary made to communicate with devices (routers, switch, ...)\",\n \"stopbits self.bytesize = bytesize self.timeout = timeout self._id = None\",\n \"die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds)\",\n \"source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor\",\n \"device. Please note that default mode attempt to recognize a\",\n \"\\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\"))\",\n \"note that default mode attempt to recognize a device with\",\n \"self._id is None: self._id = \\\"serial.%s\\\" % (self.device) return self._id\",\n \"self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial\",\n \"self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\")\",\n \"devices (routers, switch, ...) over console cable but you can\",\n \"type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device\",\n \"def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return\",\n \"device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device\",\n \"source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\"\",\n \"= None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial(\",\n \"ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type =\",\n \"content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest,\",\n \"if self._id is None: self._id = \\\"serial.%s\\\" % (self.device) return\",\n \"checkok=False) self.device = device self.baudrate = baudrate self.type = type\",\n \"recognize a device with cisco like commands. \\\"\\\"\\\" def __init__(self,\",\n \"self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console =\",\n \"(routers, switch, ...) over console cable but you can use\"\n]","isConversational":false}}},{"rowIdx":799,"cells":{"ngram":{"kind":"list like","value":["(self >> 17) % 16 @property def process_id(self) -> int:","number is incremented\"\"\" return self % 2048 @property def unix(self)","always returned as strings in the HTTP API to prevent","1420070400000. \"\"\" return self >> 22 @property def worker_id(self) ->","bits in size (e.g. a uint64), they are always returned","return self >> 22 @property def worker_id(self) -> int: \"\"\"Internal","Discord, except in some unique scenarios in which child objects","def from_string(cls, string: str): \"\"\"Initialize a new Snowflake from a","root. from __future__ import annotations class Snowflake(int): \"\"\" Discord utilizes","a new Snowflake from a string. Parameters ---------- string: :class:`str`","that process, this number is incremented\"\"\" return self % 2048","Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds since Discord","descriptors (IDs). These IDs are guaranteed to be unique across","@property def timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch,","returned as strings in the HTTP API to prevent integer","ETF/JSON for more information regarding Gateway encoding. Read more here:","def increment(self) -> int: \"\"\"For every ID that is generated","or 1420070400000. \"\"\" return self >> 22 @property def worker_id(self)","MIT License can be found in `LICENSE.txt` at the project","should be less than or equal to 9223372036854775807.\" ) @classmethod","here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int =","is generated on that process, this number is incremented\"\"\" return","in `LICENSE.txt` at the project root. from __future__ import annotations","self < self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than","size (e.g. a uint64), they are always returned as strings","be greater than or equal to 0.\") if self >","self >> 22 @property def worker_id(self) -> int: \"\"\"Internal worker","increment(self) -> int: \"\"\"For every ID that is generated on","raise ValueError(\"snowflake value should be greater than or equal to","in some unique scenarios in which child objects share their","Copyright MelisaDev 2022 - Present # Full MIT License can","% 16 @property def increment(self) -> int: \"\"\"For every ID","__factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls,","% 2048 @property def unix(self) -> int: return self.timestamp +","first second of 2015 or 1420070400000. \"\"\" return self >>","str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str):","str): \"\"\"Initialize a new Snowflake from a string. Parameters ----------","0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake value should","process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self >> 12)","parent's ID. Because Snowflake IDs are up to 64 bits","__init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value","-> int: \"\"\"For every ID that is generated on that","be less than or equal to 9223372036854775807.\" ) @classmethod def","def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def","more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int","\"\"\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors","\"\"\" Milliseconds since Discord Epoch, the first second of 2015","or equal to 0.\") if self > self._MAX_VALUE: raise ValueError(","from_string(cls, string: str): \"\"\"Initialize a new Snowflake from a string.","the first second of 2015 or 1420070400000. \"\"\" return self","at the project root. from __future__ import annotations class Snowflake(int):","to be unique across all of Discord, except in some","Snowflake IDs are up to 64 bits in size (e.g.","_MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self,","`LICENSE.txt` at the project root. from __future__ import annotations class","strings in the HTTP API to prevent integer overflows in",":class:`str` The snowflake as a string. \"\"\" return Snowflake(int(string)) @property","def timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch, the","ID\"\"\" return (self >> 12) % 16 @property def increment(self)","guaranteed to be unique across all of Discord, except in","These IDs are guaranteed to be unique across all of","as a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) ->","-> int: \"\"\"Internal process ID\"\"\" return (self >> 12) %","Gateway ETF/JSON for more information regarding Gateway encoding. Read more","64 bits in size (e.g. a uint64), they are always","to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) -> Snowflake:","API to prevent integer overflows in some languages. See Gateway","languages. See Gateway ETF/JSON for more information regarding Gateway encoding.","_MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self","be found in `LICENSE.txt` at the project root. from __future__","which child objects share their parent's ID. Because Snowflake IDs","ValueError( \"snowflake value should be less than or equal to","across all of Discord, except in some unique scenarios in","string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string:","self > self._MAX_VALUE: raise ValueError( \"snowflake value should be less","22 @property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return","generated on that process, this number is incremented\"\"\" return self","16 @property def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return","that is generated on that process, this number is incremented\"\"\"","# Copyright MelisaDev 2022 - Present # Full MIT License","for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes","int: \"\"\" Milliseconds since Discord Epoch, the first second of","2015 or 1420070400000. \"\"\" return self >> 22 @property def","% 16 @property def process_id(self) -> int: \"\"\"Internal process ID\"\"\"","ID that is generated on that process, this number is","some unique scenarios in which child objects share their parent's","Milliseconds since Discord Epoch, the first second of 2015 or","(e.g. a uint64), they are always returned as strings in","return (self >> 12) % 16 @property def increment(self) ->","int: \"\"\"Internal worker ID\"\"\" return (self >> 17) % 16","regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int","-> int: \"\"\" Milliseconds since Discord Epoch, the first second","ID. Because Snowflake IDs are up to 64 bits in","in some languages. See Gateway ETF/JSON for more information regarding","ID\"\"\" return (self >> 17) % 16 @property def process_id(self)","some languages. See Gateway ETF/JSON for more information regarding Gateway","information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE:","value should be less than or equal to 9223372036854775807.\" )","worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self >> 17)","self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than or equal","12) % 16 @property def increment(self) -> int: \"\"\"For every","to prevent integer overflows in some languages. See Gateway ETF/JSON","Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE:","than or equal to 0.\") if self > self._MAX_VALUE: raise","Full MIT License can be found in `LICENSE.txt` at the","Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for uniquely identifiable","-> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize","IDs are guaranteed to be unique across all of Discord,","should be greater than or equal to 0.\") if self","class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for uniquely","> self._MAX_VALUE: raise ValueError( \"snowflake value should be less than","\"\"\"For every ID that is generated on that process, this","from __future__ import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's","annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for","process, this number is incremented\"\"\" return self % 2048 @property","Because Snowflake IDs are up to 64 bits in size","Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake","2022 - Present # Full MIT License can be found","# Full MIT License can be found in `LICENSE.txt` at","unique scenarios in which child objects share their parent's ID.","second of 2015 or 1420070400000. \"\"\" return self >> 22","of Discord, except in some unique scenarios in which child","9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if","\"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def","return self % 2048 @property def unix(self) -> int: return","return (self >> 17) % 16 @property def process_id(self) ->","See Gateway ETF/JSON for more information regarding Gateway encoding. Read","worker ID\"\"\" return (self >> 17) % 16 @property def","integer overflows in some languages. See Gateway ETF/JSON for more","scenarios in which child objects share their parent's ID. Because","are up to 64 bits in size (e.g. a uint64),","project root. from __future__ import annotations class Snowflake(int): \"\"\" Discord","utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These","found in `LICENSE.txt` at the project root. from __future__ import","are always returned as strings in the HTTP API to","uniquely identifiable descriptors (IDs). These IDs are guaranteed to be","they are always returned as strings in the HTTP API","new Snowflake from a string. Parameters ---------- string: :class:`str` The","---------- string: :class:`str` The snowflake as a string. \"\"\" return","License can be found in `LICENSE.txt` at the project root.","super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value should be","\"\"\"Initialize a new Snowflake from a string. Parameters ---------- string:","can be found in `LICENSE.txt` at the project root. from","= 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__()","\"snowflake value should be less than or equal to 9223372036854775807.\"","\"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds","\"\"\" return self >> 22 @property def worker_id(self) -> int:","return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a new","less than or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls,",">> 17) % 16 @property def process_id(self) -> int: \"\"\"Internal",">> 12) % 16 @property def increment(self) -> int: \"\"\"For","self % 2048 @property def unix(self) -> int: return self.timestamp","to 64 bits in size (e.g. a uint64), they are","def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake","def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self >>","def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self >>","IDs are up to 64 bits in size (e.g. a","be unique across all of Discord, except in some unique","are guaranteed to be unique across all of Discord, except","Epoch, the first second of 2015 or 1420070400000. \"\"\" return","child objects share their parent's ID. Because Snowflake IDs are","(self >> 12) % 16 @property def increment(self) -> int:","identifiable descriptors (IDs). These IDs are guaranteed to be unique",">> 22 @property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\"","the project root. from __future__ import annotations class Snowflake(int): \"\"\"","(IDs). These IDs are guaranteed to be unique across all","_): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value should","int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _):","than or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string:","overflows in some languages. See Gateway ETF/JSON for more information","unique across all of Discord, except in some unique scenarios","in which child objects share their parent's ID. Because Snowflake","- Present # Full MIT License can be found in",") @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string)","17) % 16 @property def process_id(self) -> int: \"\"\"Internal process","snowflake as a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self)","< self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than or","or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str)","int = 0 def __init__(self, _): super().__init__() if self <","HTTP API to prevent integer overflows in some languages. See","on that process, this number is incremented\"\"\" return self %","import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format","int: \"\"\"Internal process ID\"\"\" return (self >> 12) % 16","more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\"","value should be greater than or equal to 0.\") if","up to 64 bits in size (e.g. a uint64), they","Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs).","uint64), they are always returned as strings in the HTTP","MelisaDev 2022 - Present # Full MIT License can be","return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds since","@property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self","greater than or equal to 0.\") if self > self._MAX_VALUE:","16 @property def increment(self) -> int: \"\"\"For every ID that","encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807","for uniquely identifiable descriptors (IDs). These IDs are guaranteed to","Parameters ---------- string: :class:`str` The snowflake as a string. \"\"\"","\"\"\"Internal worker ID\"\"\" return (self >> 17) % 16 @property","a uint64), they are always returned as strings in the","of 2015 or 1420070400000. \"\"\" return self >> 22 @property","as strings in the HTTP API to prevent integer overflows","Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int =","ValueError(\"snowflake value should be greater than or equal to 0.\")","string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\"","if self < self._MIN_VALUE: raise ValueError(\"snowflake value should be greater","the HTTP API to prevent integer overflows in some languages.","a string. Parameters ---------- string: :class:`str` The snowflake as a","__future__ import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake","every ID that is generated on that process, this number","incremented\"\"\" return self % 2048 @property def unix(self) -> int:","raise ValueError( \"snowflake value should be less than or equal","9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return","string. Parameters ---------- string: :class:`str` The snowflake as a string.","string: :class:`str` The snowflake as a string. \"\"\" return Snowflake(int(string))","to 0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake value","Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs","all of Discord, except in some unique scenarios in which","self._MAX_VALUE: raise ValueError( \"snowflake value should be less than or","prevent integer overflows in some languages. See Gateway ETF/JSON for","int: \"\"\"For every ID that is generated on that process,","process ID\"\"\" return (self >> 12) % 16 @property def","https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0","string: str): \"\"\"Initialize a new Snowflake from a string. Parameters","Discord Epoch, the first second of 2015 or 1420070400000. \"\"\"","@property def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self","= 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE:","cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a new Snowflake","a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int:","in size (e.g. a uint64), they are always returned as","in the HTTP API to prevent integer overflows in some","0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise","from a string. Parameters ---------- string: :class:`str` The snowflake as","@classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod","equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) ->","share their parent's ID. Because Snowflake IDs are up to","Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a","equal to 0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake","-> int: \"\"\"Internal worker ID\"\"\" return (self >> 17) %","is incremented\"\"\" return self % 2048 @property def unix(self) ->","since Discord Epoch, the first second of 2015 or 1420070400000.","The snowflake as a string. \"\"\" return Snowflake(int(string)) @property def","2048 @property def unix(self) -> int: return self.timestamp + 1420070400000","\"\"\"Internal process ID\"\"\" return (self >> 12) % 16 @property","their parent's ID. Because Snowflake IDs are up to 64","@classmethod def from_string(cls, string: str): \"\"\"Initialize a new Snowflake from","timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch, the first","this number is incremented\"\"\" return self % 2048 @property def","@property def increment(self) -> int: \"\"\"For every ID that is","snowflake format for uniquely identifiable descriptors (IDs). These IDs are","if self > self._MAX_VALUE: raise ValueError( \"snowflake value should be","format for uniquely identifiable descriptors (IDs). These IDs are guaranteed","objects share their parent's ID. Because Snowflake IDs are up","except in some unique scenarios in which child objects share","Present # Full MIT License can be found in `LICENSE.txt`"],"string":"[\n \"(self >> 17) % 16 @property def process_id(self) -> int:\",\n \"number is incremented\\\"\\\"\\\" return self % 2048 @property def unix(self)\",\n \"always returned as strings in the HTTP API to prevent\",\n \"1420070400000. \\\"\\\"\\\" return self >> 22 @property def worker_id(self) ->\",\n \"bits in size (e.g. a uint64), they are always returned\",\n \"return self >> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal\",\n \"Discord, except in some unique scenarios in which child objects\",\n \"def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from a\",\n \"root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes\",\n \"a new Snowflake from a string. Parameters ---------- string: :class:`str`\",\n \"that process, this number is incremented\\\"\\\"\\\" return self % 2048\",\n \"Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord\",\n \"descriptors (IDs). These IDs are guaranteed to be unique across\",\n \"@property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch,\",\n \"returned as strings in the HTTP API to prevent integer\",\n \"ETF/JSON for more information regarding Gateway encoding. Read more here:\",\n \"def increment(self) -> int: \\\"\\\"\\\"For every ID that is generated\",\n \"or 1420070400000. \\\"\\\"\\\" return self >> 22 @property def worker_id(self)\",\n \"MIT License can be found in `LICENSE.txt` at the project\",\n \"should be less than or equal to 9223372036854775807.\\\" ) @classmethod\",\n \"here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int =\",\n \"is generated on that process, this number is incremented\\\"\\\"\\\" return\",\n \"in `LICENSE.txt` at the project root. from __future__ import annotations\",\n \"self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than\",\n \"size (e.g. a uint64), they are always returned as strings\",\n \"be greater than or equal to 0.\\\") if self >\",\n \"self >> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker\",\n \"increment(self) -> int: \\\"\\\"\\\"For every ID that is generated on\",\n \"raise ValueError(\\\"snowflake value should be greater than or equal to\",\n \"in some unique scenarios in which child objects share their\",\n \"Copyright MelisaDev 2022 - Present # Full MIT License can\",\n \"% 16 @property def increment(self) -> int: \\\"\\\"\\\"For every ID\",\n \"__factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls,\",\n \"% 2048 @property def unix(self) -> int: return self.timestamp +\",\n \"first second of 2015 or 1420070400000. \\\"\\\"\\\" return self >>\",\n \"str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str):\",\n \"str): \\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters ----------\",\n \"0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should\",\n \"process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12)\",\n \"parent's ID. Because Snowflake IDs are up to 64 bits\",\n \"__init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value\",\n \"-> int: \\\"\\\"\\\"For every ID that is generated on that\",\n \"be less than or equal to 9223372036854775807.\\\" ) @classmethod def\",\n \"def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def\",\n \"more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int\",\n \"\\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors\",\n \"\\\"\\\"\\\" Milliseconds since Discord Epoch, the first second of 2015\",\n \"or equal to 0.\\\") if self > self._MAX_VALUE: raise ValueError(\",\n \"from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from a string.\",\n \"the first second of 2015 or 1420070400000. \\\"\\\"\\\" return self\",\n \"at the project root. from __future__ import annotations class Snowflake(int):\",\n \"to be unique across all of Discord, except in some\",\n \"Snowflake IDs are up to 64 bits in size (e.g.\",\n \"_MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self,\",\n \"`LICENSE.txt` at the project root. from __future__ import annotations class\",\n \"strings in the HTTP API to prevent integer overflows in\",\n \":class:`str` The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property\",\n \"def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the\",\n \"ID\\\"\\\"\\\" return (self >> 12) % 16 @property def increment(self)\",\n \"guaranteed to be unique across all of Discord, except in\",\n \"These IDs are guaranteed to be unique across all of\",\n \"as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) ->\",\n \"-> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) %\",\n \"Gateway ETF/JSON for more information regarding Gateway encoding. Read more\",\n \"64 bits in size (e.g. a uint64), they are always\",\n \"to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) -> Snowflake:\",\n \"API to prevent integer overflows in some languages. See Gateway\",\n \"languages. See Gateway ETF/JSON for more information regarding Gateway encoding.\",\n \"_MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self\",\n \"be found in `LICENSE.txt` at the project root. from __future__\",\n \"which child objects share their parent's ID. Because Snowflake IDs\",\n \"ValueError( \\\"snowflake value should be less than or equal to\",\n \"across all of Discord, except in some unique scenarios in\",\n \"string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string:\",\n \"self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less\",\n \"22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return\",\n \"generated on that process, this number is incremented\\\"\\\"\\\" return self\",\n \"16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return\",\n \"that is generated on that process, this number is incremented\\\"\\\"\\\"\",\n \"# Copyright MelisaDev 2022 - Present # Full MIT License\",\n \"for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes\",\n \"int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first second of\",\n \"2015 or 1420070400000. \\\"\\\"\\\" return self >> 22 @property def\",\n \"% 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\"\",\n \"ID that is generated on that process, this number is\",\n \"some unique scenarios in which child objects share their parent's\",\n \"Milliseconds since Discord Epoch, the first second of 2015 or\",\n \"(e.g. a uint64), they are always returned as strings in\",\n \"return (self >> 12) % 16 @property def increment(self) ->\",\n \"int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) % 16\",\n \"regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int\",\n \"-> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first second\",\n \"ID. Because Snowflake IDs are up to 64 bits in\",\n \"in some languages. See Gateway ETF/JSON for more information regarding\",\n \"ID\\\"\\\"\\\" return (self >> 17) % 16 @property def process_id(self)\",\n \"some languages. See Gateway ETF/JSON for more information regarding Gateway\",\n \"information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE:\",\n \"value should be less than or equal to 9223372036854775807.\\\" )\",\n \"worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17)\",\n \"self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than or equal\",\n \"12) % 16 @property def increment(self) -> int: \\\"\\\"\\\"For every\",\n \"to prevent integer overflows in some languages. See Gateway ETF/JSON\",\n \"Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE:\",\n \"than or equal to 0.\\\") if self > self._MAX_VALUE: raise\",\n \"Full MIT License can be found in `LICENSE.txt` at the\",\n \"Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely identifiable\",\n \"-> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize\",\n \"IDs are guaranteed to be unique across all of Discord,\",\n \"should be greater than or equal to 0.\\\") if self\",\n \"class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely\",\n \"> self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less than\",\n \"\\\"\\\"\\\"For every ID that is generated on that process, this\",\n \"from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's\",\n \"annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for\",\n \"process, this number is incremented\\\"\\\"\\\" return self % 2048 @property\",\n \"Because Snowflake IDs are up to 64 bits in size\",\n \"Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake\",\n \"2022 - Present # Full MIT License can be found\",\n \"# Full MIT License can be found in `LICENSE.txt` at\",\n \"unique scenarios in which child objects share their parent's ID.\",\n \"second of 2015 or 1420070400000. \\\"\\\"\\\" return self >> 22\",\n \"of Discord, except in some unique scenarios in which child\",\n \"9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if\",\n \"\\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def\",\n \"return self % 2048 @property def unix(self) -> int: return\",\n \"return (self >> 17) % 16 @property def process_id(self) ->\",\n \"See Gateway ETF/JSON for more information regarding Gateway encoding. Read\",\n \"worker ID\\\"\\\"\\\" return (self >> 17) % 16 @property def\",\n \"integer overflows in some languages. See Gateway ETF/JSON for more\",\n \"scenarios in which child objects share their parent's ID. Because\",\n \"are up to 64 bits in size (e.g. a uint64),\",\n \"project root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord\",\n \"utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These\",\n \"found in `LICENSE.txt` at the project root. from __future__ import\",\n \"are always returned as strings in the HTTP API to\",\n \"uniquely identifiable descriptors (IDs). These IDs are guaranteed to be\",\n \"they are always returned as strings in the HTTP API\",\n \"new Snowflake from a string. Parameters ---------- string: :class:`str` The\",\n \"---------- string: :class:`str` The snowflake as a string. \\\"\\\"\\\" return\",\n \"License can be found in `LICENSE.txt` at the project root.\",\n \"super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be\",\n \"\\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters ---------- string:\",\n \"can be found in `LICENSE.txt` at the project root. from\",\n \"= 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__()\",\n \"\\\"snowflake value should be less than or equal to 9223372036854775807.\\\"\",\n \"\\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds\",\n \"\\\"\\\"\\\" return self >> 22 @property def worker_id(self) -> int:\",\n \"return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new\",\n \"less than or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls,\",\n \">> 17) % 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal\",\n \">> 12) % 16 @property def increment(self) -> int: \\\"\\\"\\\"For\",\n \"self % 2048 @property def unix(self) -> int: return self.timestamp\",\n \"to 64 bits in size (e.g. a uint64), they are\",\n \"def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake\",\n \"def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >>\",\n \"def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >>\",\n \"IDs are up to 64 bits in size (e.g. a\",\n \"be unique across all of Discord, except in some unique\",\n \"are guaranteed to be unique across all of Discord, except\",\n \"Epoch, the first second of 2015 or 1420070400000. \\\"\\\"\\\" return\",\n \"child objects share their parent's ID. Because Snowflake IDs are\",\n \"(self >> 12) % 16 @property def increment(self) -> int:\",\n \"identifiable descriptors (IDs). These IDs are guaranteed to be unique\",\n \">> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\"\",\n \"the project root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\"\",\n \"(IDs). These IDs are guaranteed to be unique across all\",\n \"_): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should\",\n \"int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _):\",\n \"than or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string:\",\n \"overflows in some languages. See Gateway ETF/JSON for more information\",\n \"unique across all of Discord, except in some unique scenarios\",\n \"in which child objects share their parent's ID. Because Snowflake\",\n \"- Present # Full MIT License can be found in\",\n \") @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string)\",\n \"17) % 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process\",\n \"snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self)\",\n \"< self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than or\",\n \"or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str)\",\n \"int = 0 def __init__(self, _): super().__init__() if self <\",\n \"HTTP API to prevent integer overflows in some languages. See\",\n \"on that process, this number is incremented\\\"\\\"\\\" return self %\",\n \"import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format\",\n \"int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) % 16\",\n \"more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\"\",\n \"value should be greater than or equal to 0.\\\") if\",\n \"up to 64 bits in size (e.g. a uint64), they\",\n \"Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs).\",\n \"uint64), they are always returned as strings in the HTTP\",\n \"MelisaDev 2022 - Present # Full MIT License can be\",\n \"return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since\",\n \"@property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self\",\n \"greater than or equal to 0.\\\") if self > self._MAX_VALUE:\",\n \"16 @property def increment(self) -> int: \\\"\\\"\\\"For every ID that\",\n \"encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807\",\n \"for uniquely identifiable descriptors (IDs). These IDs are guaranteed to\",\n \"Parameters ---------- string: :class:`str` The snowflake as a string. \\\"\\\"\\\"\",\n \"\\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) % 16 @property\",\n \"a uint64), they are always returned as strings in the\",\n \"of 2015 or 1420070400000. \\\"\\\"\\\" return self >> 22 @property\",\n \"as strings in the HTTP API to prevent integer overflows\",\n \"Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int =\",\n \"ValueError(\\\"snowflake value should be greater than or equal to 0.\\\")\",\n \"string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\"\",\n \"if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater\",\n \"the HTTP API to prevent integer overflows in some languages.\",\n \"a string. Parameters ---------- string: :class:`str` The snowflake as a\",\n \"__future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake\",\n \"every ID that is generated on that process, this number\",\n \"incremented\\\"\\\"\\\" return self % 2048 @property def unix(self) -> int:\",\n \"raise ValueError( \\\"snowflake value should be less than or equal\",\n \"9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return\",\n \"string. Parameters ---------- string: :class:`str` The snowflake as a string.\",\n \"string: :class:`str` The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string))\",\n \"to 0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value\",\n \"Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs\",\n \"all of Discord, except in some unique scenarios in which\",\n \"self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less than or\",\n \"prevent integer overflows in some languages. See Gateway ETF/JSON for\",\n \"int: \\\"\\\"\\\"For every ID that is generated on that process,\",\n \"process ID\\\"\\\"\\\" return (self >> 12) % 16 @property def\",\n \"https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0\",\n \"string: str): \\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters\",\n \"Discord Epoch, the first second of 2015 or 1420070400000. \\\"\\\"\\\"\",\n \"@property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self\",\n \"= 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE:\",\n \"cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake\",\n \"a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int:\",\n \"in size (e.g. a uint64), they are always returned as\",\n \"in the HTTP API to prevent integer overflows in some\",\n \"0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise\",\n \"from a string. Parameters ---------- string: :class:`str` The snowflake as\",\n \"@classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod\",\n \"equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) ->\",\n \"share their parent's ID. Because Snowflake IDs are up to\",\n \"Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a\",\n \"equal to 0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake\",\n \"-> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) %\",\n \"is incremented\\\"\\\"\\\" return self % 2048 @property def unix(self) ->\",\n \"since Discord Epoch, the first second of 2015 or 1420070400000.\",\n \"The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def\",\n \"2048 @property def unix(self) -> int: return self.timestamp + 1420070400000\",\n \"\\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) % 16 @property\",\n \"their parent's ID. Because Snowflake IDs are up to 64\",\n \"@classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from\",\n \"timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first\",\n \"this number is incremented\\\"\\\"\\\" return self % 2048 @property def\",\n \"@property def increment(self) -> int: \\\"\\\"\\\"For every ID that is\",\n \"snowflake format for uniquely identifiable descriptors (IDs). These IDs are\",\n \"if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should be\",\n \"format for uniquely identifiable descriptors (IDs). These IDs are guaranteed\",\n \"objects share their parent's ID. Because Snowflake IDs are up\",\n \"except in some unique scenarios in which child objects share\",\n \"Present # Full MIT License can be found in `LICENSE.txt`\"\n]","isConversational":false}}}],"truncated":false,"partial":false},"paginationData":{"pageIndex":7,"numItemsPerPage":100,"numTotalItems":12866649,"offset":700,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3NTU4NjM5OSwic3ViIjoiL2RhdGFzZXRzL3RlcnJ5eXovc3RhcmNvZGVyZGF0YV9uZ3JhbV8xMCIsImV4cCI6MTc3NTU4OTk5OSwiaXNzIjoiaHR0cHM6Ly9odWdnaW5nZmFjZS5jbyJ9.cP35Ki59dHK1ysN8UpEjCKE3m3orcvHp6aVtQDEktn0bfKrXJo7h1_8Zxc8XM3wRy26tvHHFgBBMN9o3TpFhAw","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":12866649,"numBytesParquet":126831957853}]},"discussionsStats":{"closed":0,"open":0,"total":0},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
ngram listlengths 0 82k |
|---|
[
"return self._encoding def __str__(self): return \"<%s %s>\" % (self.method, self.url)",
"attributes except for those given new values. \"\"\" for x",
"well as having :ref:`downloader middlewares <topics-downloader-middleware>` and :ref:`spider middlewares <topics-spider-middleware>`",
"Scrapy. See documentat... |
[
"class Game(object): class Rules(): def __init__(self, shoe_size=4, min_bet=1, max_bet=10): self.shoe_size",
"print(\"YOU CAN'T DOUBLE DOWN!!! double down is only available on",
"not self.done: turn += 1 hits = 0 for p",
"o+=\"{!s:^35}\".format(p.player) return o def __str__(self): return (\\ \"{:^30}\\n\"\\ ... |
[
"i % 7 == 0: total = total+i print(\"Sumatoria de",
"todos los múltiplos de 7 encontrados entre el 0 y",
"to 100. total = 0 for i in range(101): if",
"100. total = 0 for i in range(101): if i",
"i in range(101): if i % 7 == 0: total",
"= 0 for i in range(101): if i % 7",
"el 100. # Summing all the multi... |
[
"None) self.msgRateInSeconds = self.configHASS.get(\"msgRateInSeconds\", 60) self.resendRateInSeconds = self.configHASS.get(\"resendRateInSeconds\", 3600) self.retryRateInSeconds",
"import time from ww import f logger = logging.getLogger(__name__.rsplit(\".\")[-1]) class",
"= threading.Lock() backgroundTasksThr... |
[
"import Blueprint, jsonify, request, render_template home_routes = Blueprint(\"home_routes\", __name__) @home_routes.route(\"/\")",
"= Blueprint(\"home_routes\", __name__) @home_routes.route(\"/\") def index(): users = User.query.all() return",
"reset(): DB.drop_all() DB.create_all() return render_template('bas... |
[
"== len(gold_tokens): print(\"LENGTH OF SEQUENCE IS MISMATCHED\") continue gold_sents.append(gold_tokens) eval_sents.append(tag_tokens)",
"inst in dev_xc: # word_align(inst.gloss, inst.lang) # inst.project_lang_to_gloss(tagmap = './data/tagset_mappings/ctn.txt')",
"# Fix the tags... # fix_ctn_gloss_line(to_tag,... |
[
"str(row[0]) #覆盖取值 rpiname = 'raspberrypi' # 获取指针并赋值 path = r'/root/video/realtime/%s'",
"# 可能存在类型问题 # cursor.execute(sql) # row = cursor.fetchone() # #",
"= r'/root/video/realtime/%s/%s.jpg' % (rpiname, picturecounter) image = cv2.imread(picpath) bs =",
"= db.cursor() # # sql = \"select rpiname from user",
... |
[
"matrix for float ambiguities ## ## - ncands : number",
"# Get the float mu mu_dec = mu%1 # Get",
"for # computational efficiency) # L,D : LtDL-decomposition of the",
"float solution, so that all values are # between -1",
"of a given variance or # covariance matrix. # #",
"Z = np.round(np.linalg.inv(iZt.t... |
[
"<filename>summarizer/test_summarizer.py from summarizer.summarizer import summarize def test_summarize_whenPassedEmptyString_ReturnsEmpty(): assert summarize(\"\") ==",
"from summarizer.summarizer import summarize def test_summarize_whenPassedEmptyString_ReturnsEmpty(): assert summarize(\"\") == \"\""
] |
[
"hex to unicode string for i in range(len(hex_to_uni)): # Comparing",
"to the length of message for i in range(0, len(msg),",
"of message for i in range(0, len(msg), 2): # Decoding",
"used, repeat the key iteration = 0 # Returning the",
"= '' iteration = 0 # Running for loop in",
"in range(len(msg)): temp... |
[
"random def rename_files(path): file_list = os.listdir(path) print(file_list) for file_name in",
"= os.listdir(path) print(file_list) for file_name in file_list: # Remove numbers",
"new_file_name file_name.translation(None, \"0123456789\") # Add random numbers to beginning of",
"file_name + \" to \" + new_fil... |
[
"Parameters ---------- pad_width : mapping of hashable to tuple of",
"values): self.data = values def to_base_variable(self): \"\"\"Return this variable as",
"unmodified. \"\"\" if isinstance(data, pd.Index): return PandasIndexAdapter(data) return data def",
"triggered by using an array indexer, in which case... |
[
"number_of_pens, number_of_notebooks = map(int, input().split()) if number_of_pens >= number_of_participants and",
"number_of_participants, number_of_pens, number_of_notebooks = map(int, input().split()) if number_of_pens >= number_of_participants",
"number_of_pens >= number_of_participants and number_of_notebo... |
[
"DLA import main_single d = main_single(1, gotosize=[1e4, 5e4]) d.plot_particles() d.plot_mass_distribution()",
"<reponame>StanczakDominik/DLA from DLA import main_single d = main_single(1, gotosize=[1e4, 5e4])",
"from DLA import main_single d = main_single(1, gotosize=[1e4, 5e4]) d.plot_particles()"
] |
[
"util.BufferedByteStream() x.write('*' * 6000) x.seek(100) self.assertRaises(IOError, x.read, -345) def test_peek(self):",
") def test_nan(self): x = util.BufferedByteStream(b'\\xff\\xf8\\x00\\x00\\x00\\x00\\x00\\x00') self.assertTrue(isNaN(x.read_double())) x = util.BufferedByteStream(b'\\xff\\xf0\\x00\\x00\\x00... |
[
"(Fore.RED +'[+] Result: No condition is set for \"all\"! Domain",
"Record...') try: obj_answer = dns.resolver.resolve(Domain, 'TXT') except: sys.exit(Fore.RED + \"\\n[+]",
"(answer[spf_pos:].find(\"\\n\"))-1 spf_end= answer[spf_pos:spf_pos+spf_end_tmp] print (Fore.GREEN + '[+] Domain: ' +",
"= str(obj2_answe... |
[
"speech = '。'.join([ 'それは {adjective} 質問ですね'.format(adjective=adjective[0]), 'きっと, {0} や {1}",
"self.finish( dumps( answers, ensure_ascii=False, indent=4, sort_keys=True, separators=(',', ': ') )",
"{2} のことです'.format(*nouns) ]) else: speech = 'それはきっと, {0} や {1}",
"speech = 'それはきっと, {0} や {1} あるいは {2} のことです'.f... |
[
"and self.state != chunkParserStates.COMPLETE: more, raw = self.process(raw) return raw",
"chunkParserStates.COMPLETE: more, raw = self.process(raw) return raw def process(self, raw:",
"ChunkParserStates = NamedTuple( 'ChunkParserStates', [ ('WAITING_FOR_SIZE', int), ('WAITING_FOR_DATA', int), ('COMPLETE',",
... |
[
"managed device pools are present on a host. The check",
"We might want to use TypedDict here. Refer to #",
"alloc_devices: ty.List[objects.PciDevice] = [] for request in pci_requests: count =",
"performance reason. return all( self._filter_pools(self.pools, r, numa_cells) for r in",
"strutils.bool_from_str... |
[
"renames all the files of the folder Desktop to 'new_name'",
"to 'new_name' and count starts from 33 to further (we",
"is given '.exe' hence the files will be renamed like",
"renamed like : 1. new_name33.exe 2. new_name34.exe and so on",
"starts from 33 to further (we can also provide 1",
"folder Desktop ... |
[
"not (os.path.islink(l)): return None p = os.readlink(l) if os.path.isabs(p): return",
"import os def readlinkabs(l): \"\"\" Return an absolute path for",
"for the destination of a symlink \"\"\" if not (os.path.islink(l)):",
"readlinkabs(l): \"\"\" Return an absolute path for the destination of",
"None p =... |
[
"0 while True: cur = picam2.capture_buffer(\"lores\") cur = cur[:w *",
"None: # Measure pixels differences between current and # previous",
"mse > 7: if not encoding: epoch = int(time.time()) encoder.output.fileoutput",
"encoder.output = CircularOutput() picam2.encoder = encoder picam2.start() picam2.start_en... |
[
"two tuples, where the first element is the number of",
"only add it if it is not already present new_pattern_info",
"of the list. o bottom_num - The number of patterns",
"self._pattern_list[-bottom_num:]: all_patterns.append(pattern_info[1]) return all_patterns def remove_polyA(self, at_percentage = .9): \"\... |
[] |
[
"dialog.setModal(True) result = dialog.exec_() if result == QtGui.QDialog.Rejected: return self.servo_model",
"Add a new one. servo_id = len(self.servo_controls) label = QtGui.QLabel()",
"control = self.servo_controls[ident] control['slider'].setSliderPosition(int(angle_deg)) control['doublespin'].setValue(angl... |
[
"it (earlier) if # it isn't self.dispatchCommand(self, cmd, box).addCallbacks(sendAnswer, sendError",
"self).__init__(**kw) self.certificate = __certificate self.verify = __verify self.sslstarted = __sslstarted",
"is not None: self.sslstarted() class QuitBox(JuiceBox): def __repr__(self): return 'Quit(**%s)'",
... |
[
"unregister_simulator(self, session_id: str): url = \"{}/v2/workspaces/{}/simulatorSessions/{}\".format( self._config.server, self._config.workspace, session_id )",
"SimulatorInterface): reg_url = \"{}/v2/workspaces/{}/simulatorSessions\".format( config.server, config.workspace ) log.debug(\"Sending registration ... |
[
"/ 100]) # perturbed_v = np.array([random.randint(-16000, 16000) / 100, random.randint(-16000,",
"f.write(pickle_perturbed_data) # with open(self.save_path+'grey/'+perfix_+'_'+fold_curve+'.gw', 'wb') as f: # pickle_perturbed_data =",
"fiducial_points, 'relativeShift_v2')) except BaseException as err: print(err)... |
[
"data; take input from stdin if not present\") parser.add_argument('-o','--output-dir',dest='output_directory',default=os.environ['HOME'] +",
"datetime.datetime.now() output_directory = '{0}/{1:04d}/{2:02d}/{3:02d}/'.format(args.output_directory.rstrip('/') ,time_now.year ,time_now.month ,time_now.day ) # get",
... |
[
"from flask import Flask, request import os from twilio.twiml.messaging_response import",
"error msg for TPC commands pass else: # Checking for",
"'TPC -w -d': utils.portalLogin(os.environ.get('TPC_EMAIL'),os.environ.get('TPC_PWD')) utils.getWillingness() elif incoming_msg[:15] == 'TPC -experience'",
"✉ : <EM... |
[
"\"\"\" Custom exceptions for nflfastpy module \"\"\" class SeasonNotFoundError(Exception): pass"
] |
[
"data point to the class with the highest score Inputs:",
"array of shape (N,) giving predicted labels for each of",
"layer biases; has shape (H,) W2: Second layer weights; has",
"a ReLU nonlinearity after the first fully connected layer. In",
"y] -= 1 d_scores /= N # W2 were multiplied",
"score Inputs: -... |
[
"self.assertEqual(setting.__str__(), name) self.assertEqual(setting.data, data) def test_delete_setting(self): \"\"\" Test Deleting a",
"Setting class SettingTestCase(TestCase): def _create_setting(self, name, **kwargs): return Setting.objects.create(name=name, **kwargs)",
"\"\"\" Test Getting a setting object.... |
[
"error from ZAMG: %s\", err) return add_entities([ZamgWeather(probe, name)], True) class",
"current condition.\"\"\" return None @property def attribution(self): \"\"\"Return the attribution.\"\"\"",
"and API logic from the sensor implementation from .sensor import",
"def temperature_unit(self): \"\"\"Return ... |
[
"= copy.deepcopy(config) for key in [\"pipeline\", \"policies\"]: if copied_config.get(key): for",
"\"config\" FINGERPRINT_CONFIG_CORE_KEY = \"core-config\" FINGERPRINT_CONFIG_NLU_KEY = \"nlu-config\" FINGERPRINT_CONFIG_WITHOUT_EPOCHS_KEY = \"config-without-epochs\"",
"to be created. fingerprint: A unique finge... |
[
"if not self.position and price > self.sma[-1]: # market entry",
"import Backtest, Strategy from backtesting.lib import crossover, cross from backtesting.test",
"backtesting and set options import backtesting # Set notebook False",
"- FAQ - License - API Reference Documentation source :",
"import SMA, GOOG ... |
[
"nomes = ['Carlos', 'Camila', 'Carla', 'Cristiana', 'Cristina', 'Vanessa'] print(any8[nomes[0] ==",
"Comprehension; - Dictionary Comprehension; - Set Comprehension. Não foi abordado:",
"print(res2) # O que faz a função de getsizeof()? ->",
"de números com List Comprehension list_comp = getsizeof([x * 10",
"... |
[
"o terceiro número: \")) if (numero1 < numero2 and numero2",
"int(input(\"Digite o segundo número: \")) numero3 = int(input(\"Digite o terceiro",
"if (numero1 < numero2 and numero2 < numero3): print(\"crescente\") else:",
"segundo número: \")) numero3 = int(input(\"Digite o terceiro número: \"))",
"terceiro... |
[
"range(2): tina.forward(lengte) tina.right(60) tina.forward(lengte) tina.right(120) def sneeuwvlok(lengte, num): for i",
"i in range(num): parallellogram(lengte) tina.right(360.0/num) # 360.0 zorgt voor cast",
"tina.right(120) def sneeuwvlok(lengte, num): for i in range(num): parallellogram(lengte) tina.right(3... |
[
"WARRANTY OF ANY # KIND, EXPRESS OR IMPLIED, INCLUDING BUT",
"'basename': self.name, 'name': out_name, 'file_dep': template_deps, 'targets': [out_name], 'actions': [(render_listing,",
"# This is necessary to reflect changes in blog title,",
"folders, 'files': files, 'description': title, } self.site.render_te... |
[
"= pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options",
"of the resource. :param pulumi.ResourceOptions opts: Options for the resource.",
"if account_name is None and not opts.urn: raise TypeError(\"Missing required",
"the resource. :param pulu... |
[
"All Rights Reserved. # # This file is licensed under",
"snippet-sourcedescription:[s3-python-example-get-bucket-policy.py demonstrates how to list the Amazon S3 Buckets in",
"under the License. import boto3 # Create an S3 client",
"# License is located at # # http://aws.amazon.com/apache2.0/ # #",
"at # # ... |
[
"sys import aingle.codecs import aingle.datafile import aingle.io import aingle.schema NULL_CODEC",
"License. import os import sys import aingle.codecs import aingle.datafile import",
"as schema_file: interop_schema = aingle.schema.parse(schema_file.read()) for codec in CODECS_TO_VALIDATE: filename",
"CODECS_... |
[
"= array == unique_value if unique_value in values_to_ignore: all_entries_to_keep =",
"unique_values: entries_of_this_value = array == unique_value if unique_value in values_to_ignore:",
"result = array * all_entries_to_keep if new_value != 0: eroded_entries",
"all_entries_to_keep if new_value != 0: eroded_en... |
[
"t2 == lu2.function_unit with u.set_enabled_equivalencies(u.logarithmic()): assert_allclose(t2.to(u.dimensionless_unscaled, np.arange(3.)), lu2.to(lu2.physical_unit, np.arange(3.))) @pytest.mark.parametrize('other',",
"4.)*u.Jy) lq2 = u.Magnitude(2.*u.Jy) assert np.all((lq1 > lq2) == np.array([True,",
"test_uni... |
[
"system_api_get_members_call(return_value): method_name = 'djconnectwise.api.SystemAPIClient.get_members' return create_mock_call(method_name, return_value) def system_api_get_member_image_by_photo_id_call(return_value): method_name",
"def sales_api_get_opportunities_call(return_value, raised=None): method_name =... |
[
"to the directory of pose file :param fivepoint: Whether to",
"print(\"MSE Error: \", np.linalg.norm(estimated_coordinates - true_coordinates)) print(\"x: {}, y: {},",
"255, 0)), 4) cv2.putText( trajectory, \"Actual Position:\", (140, 90), cv2.FONT_HERSHEY_SIMPLEX,",
"Odometry Position:\", (30, 120), cv2.FONT... |
[
"tensorflow as tf def get_train_data(train_dir, batch_size): train_images = np.load(os.path.join(train_dir, 'train_images.npy'))",
"np import tensorflow as tf def get_train_data(train_dir, batch_size): train_images =",
"train_images = np.load(os.path.join(train_dir, 'train_images.npy')) train_labels = np.load(o... |
[
"model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W = rbf_model.sess.run(rbf_model.params)[0] # Then load weights into",
"np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name) # train = DataSet(train_f['inception_features_val'], train_f['labels']) # test_f",
"= dataset.find_distances... |
[
"in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for",
"in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g:",
"find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....]",
"data_path=sys.argv[2] xid=pickle.loa... |
[] |
[
"Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text),",
"Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name = 'TrafficScript' aliases",
"(r'\"', String, 'escapable-string'), (r'(0x[0-9a... |
[
"not index._can_hold_na: pytest.skip(\"Skip na-check if index cannot hold na\") if",
"first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected",
"unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates",
... |
[
"with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]",
"= np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape,",
"nlp.control_typ... |
[
"return [event_type for event_type, event in self.items if event.get_event_action() ==",
"subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type)",
"* CREATED * UPDATED * DELETED * RESUMED * COPIED",
"on an ob... |
[
"# convert dict to json by json.dumps() for body data.",
"import * def test_f_login_andy(): url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\":",
"contents, e.g. status code. assert response.status_code == 200 # print",
"payload = json.dumps(raw_payload) headers = {'Content-Ty... |
[
"* q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family",
"phi_l = q_l[0,:] * u_l**2 + 0.5 * g *",
"cbar) * delta_h ) / cbar a2 = 0.5 *",
"(-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2",
"ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l -",
"apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-a... |
[
"False return True elif constant_type in (tuple, list): for element_value",
"(tuple, list): for element_value in constant: if not isConstant(element_value): return",
"key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value)",
"if type(a) is dict: if len(a) != len(... |
[
"is not None and \\ 'ResponseMetadata' in success_response[1]: # We",
"threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory =",
"governing permissions and limitations under the License. import os import",
"before attemptin... |
[
"small number). [1] This isn’t really the full picture, since",
"the form of (use the correct numbers, do not round",
"and those who know did not. This function should return",
"Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder",
"num_not_have_cpox_boy_injected ratio_girl ... |
[
"open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2]))",
"range(finish - start): # Below filtering is valid for eurusd.csv",
"for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig",
"z: # decision = \"buy\" sma = convolve_sma(close, 5... |
[
"data_flag = False reader = open(file_path, \"r\") for line in",
"in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = []",
"attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i]",
"attributes_min_max[i] = [min_value, ... |
[
"import numpy as np from keras import backend as K",
"import backend as K from evolution import Evolution from genome_handler",
"GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) =",
"= Evolution(genome_handler, da... |
[
"en cada lado. for agent in self.schedule.agents: if agent.agent_type ==",
"tienen más automóviles. count_left = 0 count_right = 0 #Loop",
"agent.direction = (0, -1) elif row > height // 2",
"self.model.height and position[0] >= 0 and position[1] >= 0: if",
"1: return agent.light return True #Función para c... |
[
"contents + '</style>')) else: # default to html. Anything else?",
"for distributable packages, pkg_resources.resource_string is the # best way to",
"content stored in a file to a jupyter notebook.\"\"\" import",
"import resource_string from IPython.display import display, Javascript, HTML # Originally",
"t... |
[
"hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox()",
"%-12s %-10s\" % (i, decoded_name, sl['size'], modified, project, type)) print((\"Storage",
"= PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = Pro... |
[
"TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model",
"model = Task context_object_name = 'task' class TaskCreate(CreateView): model =",
"TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model",
"Create your views h... |
[
"assert np.all(result >= (y - TOL)) assert np.all(result <= (y",
"Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple)",
"np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ =",
"* from dnnv.nn.operations... |
[
"to instantiate a remote agent. The protocal is as follows:",
"LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A",
"THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \"\"\"",
"pid({os.getpid()}): Received interrupt signal.\" ) # Catch keyboard interrupt and",
"for mod in modules: try: importlib.impor... |
[
"(Minimum fixed monthly payment) Updated balance each month = (Monthly",
"balance is not 0... while month <= 12 and updatedBalance",
"12 months and while balance is not 0... while month",
"Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3:",
"310 Test Case 2: balance = 4773 annualInt... |
[
"for c, t in collections.Counter(s).most_common()) # V1 # IDEA :",
"v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) ==",
"V2' # Time: O(n) # Space: O(n) import collections class",
"Solution(object): def frequencySort(self, s): return ''.join(c * t for c,",
"return ''.join(... |
[
"+ str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else {",
"= 'worst' else: tag = '' html += '<th align=\"center\">%s<br>%s</th>'",
"<td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td>",
"of radio buttons used for ranking... |
[
"\"\"\" returns the parameter multiplied by a value @param mul",
"= myclass(0) @endcode @endexample **FAQ** .. faqref:: :title: How to",
".. exref:: :title: an example of use Just for documentation",
"first parameter \"\"\" self.pa = pa def get_value(self, mul): \"\"\"",
"to add a question ? Just look a thi... |
[
"= 1024 # Number of time steps num_ex = 10000",
"\"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\",",
"control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states =",... |
[] |
[
"-*- coding: utf-8 -*- \"\"\" API definition module. \"\"\" from",
".resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related",
"from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an",
"api = Api(api_bp) api.add_resource(UserList, '/users') api.add_reso... |
[
"#!usr/bin/env python3 import itertools # itertools is a module that's",
"infinite iterators # Joe # John # Mike # Joe",
"John # Mike # Joe # John # 100 #",
"function is true and then returns the rest of values",
"python3 import itertools # itertools is a module that's not",
"it is part of the standard li... |
[
"self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode",
"nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco",
"de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa",
"int(codigo) s... |
[
"<filename>examples/plain_text_response.py from starlette.responses import PlainTextResponse async def serve(req): return PlainTextResponse(\"Hello",
"from starlette.responses import PlainTextResponse async def serve(req): return PlainTextResponse(\"Hello World!\")"
] |
[
"Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message,",
": bool, optional The argument is used to filter critical",
"= f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=e... |
[
"Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose",
"* 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128",
"2020, Oracle and/or its affiliates. All rights reserved. # This",
"= 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_... |
[
"next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page, callback=self.parse)",
"{'class': 'infinite-post'}) for post in posts: try: yield { 'image_url':",
"Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class",
"= 'millardayo' allowed_urls =... |
[
"return ( pcoll | beam.Filter( lambda elem, target: elem <=",
"import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline",
"the License. # # pytype: skip-file from __future__ import absolute_import",
"apache_beam.runners.portability import expansi... |
[
"sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI))",
"create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from",
"sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker ... |
[
"= tvm.gpu(0).compute_version else: if target is None or \"arch\" not",
"'-arch=sm_xx' to your target.\" ) return False compute_version = target.attrs[\"arch\"]",
"------- path : str Path to libdevice. \"\"\" cuda_path =",
"to invoke nvcc compiler in the system\"\"\" from __future__ import",
"Path to cuda r... |
[
"Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific calculation from",
"\"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def",
"Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculat... |
[
"valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma",
"digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}')",
"print(f'O valor 5 foi digitado e está na {valores.index(... |
[
"migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ),",
"] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', ... |
[
"from .bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc",
".misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import",
".bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import",
"ABN,... |
[
"None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result",
"5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(),",
"OF ANY # KIND, either express or implied. See the",
"('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3,",
"type=arrow_type) asser... |
[
"noqa: E501 header_params = {} form_params = [] local_var_files =",
"locals() for key, val in six.iteritems(params['kwargs']): if key not in",
"noqa: E501 # verify the required parameter 'cluster' is set",
"timestamps: :return: None If the method is called asynchronously, returns",
"None If the method is ca... |
[
"header = prefix + \"\\n\" header += prefix + nchar",
"class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from",
"system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self):",
"mu... |
[
"absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import",
"x: x for x, predicate_1 in enumerate(filters): for y, predicate_2",
"n: (n, x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap],",
"for predicate in predicates: if isinst... |
[
"function if one exists. \"\"\" def __init__(self): self.channel = None",
"self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode",
"0 self.distance_y = 0 if self.finish_state: # In finished all",
"data self.operation = \"blo... |
[
"MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for",
":param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的",
"__init__(se... |
[
"include in the requests. :type headers: dict :param status_code: HTTP",
"= self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check",
"code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions... |
[
"(w,h) a tuple for resizing the input images to the",
"base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images",
"we can see, 21 may be the best cluster number",
") # #clustering for feature maps # m.imagecluster() #As we",
"model import Imag... |
[
"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law",
"# # Licensed under the Apache License, Version 2.0 (the",
"compliance with the License. # You may obtain a copy",
"an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF",
"2.0 (the \"License\"); # you may not use th... |
[
"over console cable but you can use underlaying method to",
"def __repr__(self): return \"Executor serial: %s\" % (self.device) __str__ =",
"to recognize a device with cisco like commands. \"\"\" def",
"= parity self.stopbits = stopbits self.bytesize = bytesize self.timeout =",
"0, \"\", \"\" def send(self,... |
[
"(self >> 17) % 16 @property def process_id(self) -> int:",
"number is incremented\"\"\" return self % 2048 @property def unix(self)",
"always returned as strings in the HTTP API to prevent",
"1420070400000. \"\"\" return self >> 22 @property def worker_id(self) ->",
"bits in size (e.g. a uint64), they are ... |