partition stringclasses 3
values | func_name stringlengths 1 134 | docstring stringlengths 1 46.9k | path stringlengths 4 223 | original_string stringlengths 75 104k | code stringlengths 75 104k | docstring_tokens listlengths 1 1.97k | repo stringlengths 7 55 | language stringclasses 1
value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|
train | SplitBuffer | Parses the buffer as a prototypes.
Args:
buff: The buffer to parse.
index: The position to start parsing.
length: Optional length to parse until.
Yields:
Splits the buffer into tuples of strings:
(encoded_tag, encoded_length, wire_format). | grr/core/grr_response_core/lib/rdfvalues/structs.py | def SplitBuffer(buff, index=0, length=None):
"""Parses the buffer as a prototypes.
Args:
buff: The buffer to parse.
index: The position to start parsing.
length: Optional length to parse until.
Yields:
Splits the buffer into tuples of strings:
(encoded_tag, encoded_length, wire_format).
... | def SplitBuffer(buff, index=0, length=None):
"""Parses the buffer as a prototypes.
Args:
buff: The buffer to parse.
index: The position to start parsing.
length: Optional length to parse until.
Yields:
Splits the buffer into tuples of strings:
(encoded_tag, encoded_length, wire_format).
... | [
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train | _GetOrderedEntries | Gets entries of `RDFProtoStruct` in a well-defined order.
Args:
data: A raw data dictionary of `RDFProtoStruct`.
Yields:
Entries of the structured in a well-defined order. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def _GetOrderedEntries(data):
"""Gets entries of `RDFProtoStruct` in a well-defined order.
Args:
data: A raw data dictionary of `RDFProtoStruct`.
Yields:
Entries of the structured in a well-defined order.
"""
# The raw data dictionary has two kinds of keys: strings (which correspond to
# field na... | def _GetOrderedEntries(data):
"""Gets entries of `RDFProtoStruct` in a well-defined order.
Args:
data: A raw data dictionary of `RDFProtoStruct`.
Yields:
Entries of the structured in a well-defined order.
"""
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train | _SerializeEntries | Serializes given triplets of python and wire values and a descriptor. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def _SerializeEntries(entries):
"""Serializes given triplets of python and wire values and a descriptor."""
output = []
for python_format, wire_format, type_descriptor in entries:
if wire_format is None or (python_format and
type_descriptor.IsDirty(python_format)):
wire_... | def _SerializeEntries(entries):
"""Serializes given triplets of python and wire values and a descriptor."""
output = []
for python_format, wire_format, type_descriptor in entries:
if wire_format is None or (python_format and
type_descriptor.IsDirty(python_format)):
wire_... | [
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train | ReadIntoObject | Reads all tags until the next end group and store in the value_obj. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def ReadIntoObject(buff, index, value_obj, length=0):
"""Reads all tags until the next end group and store in the value_obj."""
raw_data = value_obj.GetRawData()
count = 0
# Split the buffer into tags and wire_format representations, then collect
# these into the raw data cache.
for (encoded_tag, encoded_l... | def ReadIntoObject(buff, index, value_obj, length=0):
"""Reads all tags until the next end group and store in the value_obj."""
raw_data = value_obj.GetRawData()
count = 0
# Split the buffer into tags and wire_format representations, then collect
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for (encoded_tag, encoded_l... | [
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train | ProtoString.Validate | Validates a python format representation of the value. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def Validate(self, value, **_):
"""Validates a python format representation of the value."""
if isinstance(value, rdfvalue.RDFString):
# TODO(hanuszczak): Use `str` here.
return Text(value)
if isinstance(value, Text):
return value
if isinstance(value, bytes):
return value.decod... | def Validate(self, value, **_):
"""Validates a python format representation of the value."""
if isinstance(value, rdfvalue.RDFString):
# TODO(hanuszczak): Use `str` here.
return Text(value)
if isinstance(value, Text):
return value
if isinstance(value, bytes):
return value.decod... | [
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train | ProtoString.ConvertToWireFormat | Internally strings are utf8 encoded. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def ConvertToWireFormat(self, value):
"""Internally strings are utf8 encoded."""
value = value.encode("utf8")
return (self.encoded_tag, VarintEncode(len(value)), value) | def ConvertToWireFormat(self, value):
"""Internally strings are utf8 encoded."""
value = value.encode("utf8")
return (self.encoded_tag, VarintEncode(len(value)), value) | [
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train | ProtoEnum.Validate | Check that value is a valid enum. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def Validate(self, value, **_):
"""Check that value is a valid enum."""
# None is a valid value - it means the field is not set.
if value is None:
return
# If the value is a string we need to try to convert it to an integer.
checked_value = value
if isinstance(value, string_types):
... | def Validate(self, value, **_):
"""Check that value is a valid enum."""
# None is a valid value - it means the field is not set.
if value is None:
return
# If the value is a string we need to try to convert it to an integer.
checked_value = value
if isinstance(value, string_types):
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train | ProtoEnum.Definition | Return a string with the definition of this field. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def Definition(self):
"""Return a string with the definition of this field."""
result = self._FormatDescriptionComment()
result += " enum %s {\n" % self.enum_name
for k, v in sorted(iteritems(self.reverse_enum)):
result += " %s = %s;\n" % (v, k)
result += " }\n"
result += self._For... | def Definition(self):
"""Return a string with the definition of this field."""
result = self._FormatDescriptionComment()
result += " enum %s {\n" % self.enum_name
for k, v in sorted(iteritems(self.reverse_enum)):
result += " %s = %s;\n" % (v, k)
result += " }\n"
result += self._For... | [
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train | ProtoBoolean.GetDefault | Return boolean value. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def GetDefault(self, container=None):
"""Return boolean value."""
return rdfvalue.RDFBool(
super(ProtoBoolean, self).GetDefault(container=container)) | def GetDefault(self, container=None):
"""Return boolean value."""
return rdfvalue.RDFBool(
super(ProtoBoolean, self).GetDefault(container=container)) | [
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train | ProtoBoolean.Validate | Check that value is a valid enum. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def Validate(self, value, **_):
"""Check that value is a valid enum."""
if value is None:
return
return rdfvalue.RDFBool(super(ProtoBoolean, self).Validate(value)) | def Validate(self, value, **_):
"""Check that value is a valid enum."""
if value is None:
return
return rdfvalue.RDFBool(super(ProtoBoolean, self).Validate(value)) | [
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train | ProtoEmbedded.ConvertFromWireFormat | The wire format is simply a string. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def ConvertFromWireFormat(self, value, container=None):
"""The wire format is simply a string."""
result = self.type()
ReadIntoObject(value[2], 0, result)
return result | def ConvertFromWireFormat(self, value, container=None):
"""The wire format is simply a string."""
result = self.type()
ReadIntoObject(value[2], 0, result)
return result | [
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train | ProtoEmbedded.ConvertToWireFormat | Encode the nested protobuf into wire format. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def ConvertToWireFormat(self, value):
"""Encode the nested protobuf into wire format."""
output = _SerializeEntries(_GetOrderedEntries(value.GetRawData()))
return (self.encoded_tag, VarintEncode(len(output)), output) | def ConvertToWireFormat(self, value):
"""Encode the nested protobuf into wire format."""
output = _SerializeEntries(_GetOrderedEntries(value.GetRawData()))
return (self.encoded_tag, VarintEncode(len(output)), output) | [
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train | ProtoEmbedded.LateBind | Late binding callback.
This method is called on this field descriptor when the target RDFValue
class is finally defined. It gives the field descriptor an opportunity to
initialize after the point of definition.
Args:
target: The target nested class.
Raises:
TypeError: If the target cl... | grr/core/grr_response_core/lib/rdfvalues/structs.py | def LateBind(self, target=None):
"""Late binding callback.
This method is called on this field descriptor when the target RDFValue
class is finally defined. It gives the field descriptor an opportunity to
initialize after the point of definition.
Args:
target: The target nested class.
R... | def LateBind(self, target=None):
"""Late binding callback.
This method is called on this field descriptor when the target RDFValue
class is finally defined. It gives the field descriptor an opportunity to
initialize after the point of definition.
Args:
target: The target nested class.
R... | [
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train | ProtoEmbedded.IsDirty | Return and clear the dirty state of the python object. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def IsDirty(self, proto):
"""Return and clear the dirty state of the python object."""
if proto.dirty:
return True
for python_format, _, type_descriptor in itervalues(proto.GetRawData()):
if python_format is not None and type_descriptor.IsDirty(python_format):
proto.dirty = True
... | def IsDirty(self, proto):
"""Return and clear the dirty state of the python object."""
if proto.dirty:
return True
for python_format, _, type_descriptor in itervalues(proto.GetRawData()):
if python_format is not None and type_descriptor.IsDirty(python_format):
proto.dirty = True
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train | ProtoDynamicEmbedded.ConvertToWireFormat | Encode the nested protobuf into wire format. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def ConvertToWireFormat(self, value):
"""Encode the nested protobuf into wire format."""
data = value.SerializeToString()
return (self.encoded_tag, VarintEncode(len(data)), data) | def ConvertToWireFormat(self, value):
"""Encode the nested protobuf into wire format."""
data = value.SerializeToString()
return (self.encoded_tag, VarintEncode(len(data)), data) | [
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train | ProtoDynamicAnyValueEmbedded.ConvertFromWireFormat | The wire format is an AnyValue message. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def ConvertFromWireFormat(self, value, container=None):
"""The wire format is an AnyValue message."""
result = AnyValue()
ReadIntoObject(value[2], 0, result)
if self._type is not None:
converted_value = self._type(container)
else:
converted_value = self._TypeFromAnyValue(result)
# I... | def ConvertFromWireFormat(self, value, container=None):
"""The wire format is an AnyValue message."""
result = AnyValue()
ReadIntoObject(value[2], 0, result)
if self._type is not None:
converted_value = self._type(container)
else:
converted_value = self._TypeFromAnyValue(result)
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train | ProtoDynamicAnyValueEmbedded.ConvertToWireFormat | Encode the nested protobuf into wire format. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def ConvertToWireFormat(self, value):
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train | ProtoList.Validate | Check that value is a list of the required type. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def Validate(self, value, **_):
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train | ProtoList.ConvertToWireFormat | Convert to the wire format.
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train | ProtoList.AddDescriptor | This method will be called by our delegate during late binding. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def AddDescriptor(self, field_desc):
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train | ProtoRDFValue.LateBind | Bind the field descriptor to the owner once the target is defined. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def LateBind(self, target=None):
"""Bind the field descriptor to the owner once the target is defined."""
self.type = target
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# Now re-add the descriptor to the owner protobuf.
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train | ProtoRDFValue._GetPrimitiveEncoder | Finds the primitive encoder according to the type's data_store_type. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def _GetPrimitiveEncoder(self):
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train | ProtoRDFValue.Copy | Returns descriptor copy, optionally changing field number. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def Copy(self, field_number=None):
"""Returns descriptor copy, optionally changing field number."""
new_args = self._kwargs.copy()
if field_number is not None:
new_args["field_number"] = field_number
return ProtoRDFValue(
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train | RDFProtoStruct.AsPrimitiveProto | Return an old style protocol buffer object. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def AsPrimitiveProto(self):
"""Return an old style protocol buffer object."""
if self.protobuf:
result = self.protobuf()
result.ParseFromString(self.SerializeToString())
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train | RDFProtoStruct.FromDict | Initializes itself from a given dictionary. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def FromDict(self, dictionary):
"""Initializes itself from a given dictionary."""
dynamic_fields = []
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field_type_info = self.type_infos.get(key)
if isinstance(field_type_info, ProtoEmbedded):
nested_value = field_type_info.GetDefault(container=se... | def FromDict(self, dictionary):
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train | RDFProtoStruct.EmitProto | Emits .proto file definitions. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def EmitProto(cls):
"""Emits .proto file definitions."""
result = "message %s {\n" % cls.__name__
for _, desc in sorted(iteritems(cls.type_infos_by_field_number)):
result += desc.Definition()
result += "}\n"
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"""Emits .proto file definitions."""
result = "message %s {\n" % cls.__name__
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train | RDFProtoStruct.FromTextFormat | Parse this object from a text representation. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def FromTextFormat(cls, text):
"""Parse this object from a text representation."""
tmp = cls.protobuf() # pylint: disable=not-callable
text_format.Merge(text, tmp)
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train | RDFProtoStruct.AddDescriptor | Register this descriptor with the Proto Struct. | grr/core/grr_response_core/lib/rdfvalues/structs.py | def AddDescriptor(cls, field_desc):
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train | RunInstaller | Run all registered installers.
Run all the current installers and then exit the process. | grr/client/grr_response_client/installer.py | def RunInstaller():
"""Run all registered installers.
Run all the current installers and then exit the process.
"""
try:
os.makedirs(os.path.dirname(config.CONFIG["Installer.logfile"]))
except OSError:
pass
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"""Run all registered installers.
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train | MapItemsIterator | Maps ItemsIterator via given function. | api_client/python/grr_api_client/utils.py | def MapItemsIterator(function, items):
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train | Poll | Periodically calls generator function until a condition is satisfied. | api_client/python/grr_api_client/utils.py | def Poll(generator=None, condition=None, interval=None, timeout=None):
"""Periodically calls generator function until a condition is satisfied."""
if not generator:
raise ValueError("generator has to be a lambda")
if not condition:
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train | UrnStringToClientId | Converts given URN string to a client id string. | api_client/python/grr_api_client/utils.py | def UrnStringToClientId(urn):
"""Converts given URN string to a client id string."""
if urn.startswith(AFF4_PREFIX):
urn = urn[len(AFF4_PREFIX):]
components = urn.split("/")
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train | UrnStringToHuntId | Converts given URN string to a flow id string. | api_client/python/grr_api_client/utils.py | def UrnStringToHuntId(urn):
"""Converts given URN string to a flow id string."""
if urn.startswith(AFF4_PREFIX):
urn = urn[len(AFF4_PREFIX):]
components = urn.split("/")
if len(components) != 2 or components[0] != "hunts":
raise ValueError("Invalid hunt URN: %s" % urn)
return components[-1] | def UrnStringToHuntId(urn):
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urn = urn[len(AFF4_PREFIX):]
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train | TypeUrlToMessage | Returns a message instance corresponding to a given type URL. | api_client/python/grr_api_client/utils.py | def TypeUrlToMessage(type_url):
"""Returns a message instance corresponding to a given type URL."""
if not type_url.startswith(TYPE_URL_PREFIX):
raise ValueError("Type URL has to start with a prefix %s: %s" %
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full_name = type_url[len(TYPE_URL_PREFIX):]
try... | def TypeUrlToMessage(type_url):
"""Returns a message instance corresponding to a given type URL."""
if not type_url.startswith(TYPE_URL_PREFIX):
raise ValueError("Type URL has to start with a prefix %s: %s" %
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train | RegisterProtoDescriptors | Registers all API-releated descriptors in a given symbol DB. | api_client/python/grr_api_client/utils.py | def RegisterProtoDescriptors(db, *additional_descriptors):
"""Registers all API-releated descriptors in a given symbol DB."""
db.RegisterFileDescriptor(artifact_pb2.DESCRIPTOR)
db.RegisterFileDescriptor(client_pb2.DESCRIPTOR)
db.RegisterFileDescriptor(config_pb2.DESCRIPTOR)
db.RegisterFileDescriptor(cron_pb2.... | def RegisterProtoDescriptors(db, *additional_descriptors):
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db.RegisterFileDescriptor(artifact_pb2.DESCRIPTOR)
db.RegisterFileDescriptor(client_pb2.DESCRIPTOR)
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train | _DateToEpoch | Converts python datetime to epoch microseconds. | grr/core/grr_response_core/lib/parsers/osx_file_parser.py | def _DateToEpoch(date):
"""Converts python datetime to epoch microseconds."""
tz_zero = datetime.datetime.utcfromtimestamp(0)
diff_sec = int((date - tz_zero).total_seconds())
return diff_sec * 1000000 | def _DateToEpoch(date):
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tz_zero = datetime.datetime.utcfromtimestamp(0)
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train | OSXUsersParser.ParseMultiple | Parse the StatEntry objects. | grr/core/grr_response_core/lib/parsers/osx_file_parser.py | def ParseMultiple(self, stat_entries, knowledge_base):
"""Parse the StatEntry objects."""
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train | OSXSPHardwareDataTypeParser.Parse | Parse the system profiler output. We get it in the form of a plist. | grr/core/grr_response_core/lib/parsers/osx_file_parser.py | def Parse(self, cmd, args, stdout, stderr, return_val, time_taken,
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_ = stderr, time_taken, args, knowledge_base # Unused
self.CheckReturn(cmd, return_val)
plist = biplist.readPlist(io.BytesIO(stdout)... | def Parse(self, cmd, args, stdout, stderr, return_val, time_taken,
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"""Parse the system profiler output. We get it in the form of a plist."""
_ = stderr, time_taken, args, knowledge_base # Unused
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train | OSXLaunchdPlistParser.Parse | Parse the Plist file. | grr/core/grr_response_core/lib/parsers/osx_file_parser.py | def Parse(self, statentry, file_object, knowledge_base):
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_ = knowledge_base
kwargs = {}
try:
kwargs["aff4path"] = file_object.urn
except AttributeError:
pass
direct_copy_items = [
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train | OSXInstallHistoryPlistParser.Parse | Parse the Plist file. | grr/core/grr_response_core/lib/parsers/osx_file_parser.py | def Parse(self, statentry, file_object, knowledge_base):
"""Parse the Plist file."""
plist = biplist.readPlist(file_object)
if not isinstance(plist, list):
raise parser.ParseError(
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packages = []
for sw in plist:
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"""Parse the Plist file."""
plist = biplist.readPlist(file_object)
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raise parser.ParseError(
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packages = []
for sw in plist:
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train | SetPlatformArchContext | Add the running contexts to the config system. | grr/core/grr_response_core/lib/config_lib.py | def SetPlatformArchContext():
"""Add the running contexts to the config system."""
# Initialize the running platform context:
_CONFIG.AddContext("Platform:%s" % platform.system().title())
machine = platform.uname()[4]
if machine in ["x86_64", "AMD64", "i686"]:
# 32 bit binaries running on AMD64 will sti... | def SetPlatformArchContext():
"""Add the running contexts to the config system."""
# Initialize the running platform context:
_CONFIG.AddContext("Platform:%s" % platform.system().title())
machine = platform.uname()[4]
if machine in ["x86_64", "AMD64", "i686"]:
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train | _ParseYamlFromFile | Parses given YAML file. | grr/core/grr_response_core/lib/config_lib.py | def _ParseYamlFromFile(filedesc):
"""Parses given YAML file."""
content = filedesc.read()
return yaml.Parse(content) or collections.OrderedDict() | def _ParseYamlFromFile(filedesc):
"""Parses given YAML file."""
content = filedesc.read()
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train | DEFINE_choice | A helper for defining choice string options. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_choice(name, default, choices, help):
"""A helper for defining choice string options."""
_CONFIG.DEFINE_choice(name, default, choices, help) | def DEFINE_choice(name, default, choices, help):
"""A helper for defining choice string options."""
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train | DEFINE_multichoice | Choose multiple options from a list. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_multichoice(name, default, choices, help):
"""Choose multiple options from a list."""
_CONFIG.DEFINE_multichoice(name, default, choices, help) | def DEFINE_multichoice(name, default, choices, help):
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train | LoadConfig | Initialize a ConfigManager with the specified options.
Args:
config_obj: The ConfigManager object to use and update. If None, one will be
created.
config_file: Filename to read the config from.
config_fd: A file-like object to read config data from.
secondary_configs: A list of secondary config... | grr/core/grr_response_core/lib/config_lib.py | def LoadConfig(config_obj,
config_file=None,
config_fd=None,
secondary_configs=None,
contexts=None,
reset=False,
parser=ConfigFileParser):
"""Initialize a ConfigManager with the specified options.
Args:
config_obj: The Co... | def LoadConfig(config_obj,
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config_fd=None,
secondary_configs=None,
contexts=None,
reset=False,
parser=ConfigFileParser):
"""Initialize a ConfigManager with the specified options.
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train | ParseConfigCommandLine | Parse all the command line options which control the config system. | grr/core/grr_response_core/lib/config_lib.py | def ParseConfigCommandLine():
"""Parse all the command line options which control the config system."""
# The user may specify the primary config file on the command line.
if flags.FLAGS.config:
_CONFIG.Initialize(filename=flags.FLAGS.config, must_exist=True)
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raise RuntimeError("A config file is n... | def ParseConfigCommandLine():
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train | Resource.Filter | Use pkg_resources to find the path to the required resource. | grr/core/grr_response_core/lib/config_lib.py | def Filter(self, filename_spec):
"""Use pkg_resources to find the path to the required resource."""
if "@" in filename_spec:
file_path, package_name = filename_spec.split("@")
else:
file_path, package_name = filename_spec, Resource.default_package
resource_path = package.ResourcePath(packag... | def Filter(self, filename_spec):
"""Use pkg_resources to find the path to the required resource."""
if "@" in filename_spec:
file_path, package_name = filename_spec.split("@")
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file_path, package_name = filename_spec, Resource.default_package
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train | ConfigFileParser.SaveDataToFD | Merge the raw data with the config file and store it. | grr/core/grr_response_core/lib/config_lib.py | def SaveDataToFD(self, raw_data, fd):
"""Merge the raw data with the config file and store it."""
for key, value in iteritems(raw_data):
# TODO(hanuszczak): Incorrect type specification for `set`.
# pytype: disable=wrong-arg-types
self.set("", key, value=value)
# pytype: enable=wrong-arg... | def SaveDataToFD(self, raw_data, fd):
"""Merge the raw data with the config file and store it."""
for key, value in iteritems(raw_data):
# TODO(hanuszczak): Incorrect type specification for `set`.
# pytype: disable=wrong-arg-types
self.set("", key, value=value)
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train | YamlParser.SaveData | Store the raw data as our configuration. | grr/core/grr_response_core/lib/config_lib.py | def SaveData(self, raw_data):
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train | YamlParser.SaveDataToFD | Merge the raw data with the config file and store it. | grr/core/grr_response_core/lib/config_lib.py | def SaveDataToFD(self, raw_data, fd):
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train | StringInterpolator.Escape | Support standard string escaping. | grr/core/grr_response_core/lib/config_lib.py | def Escape(self, string="", **_):
"""Support standard string escaping."""
# Translate special escapes:
self.stack[-1] += self.STRING_ESCAPES.get(string, string) | def Escape(self, string="", **_):
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train | StringInterpolator.Filter | Filter the current expression. | grr/core/grr_response_core/lib/config_lib.py | def Filter(self, match=None, **_):
"""Filter the current expression."""
arg = self.stack.pop(-1)
# Filters can be specified as a comma separated list.
for filter_name in match.group(1).split(","):
filter_object = ConfigFilter.classes_by_name.get(filter_name)
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"""Filter the current expression."""
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train | StringInterpolator.ExpandArg | Expand the args as a section.parameter from the config. | grr/core/grr_response_core/lib/config_lib.py | def ExpandArg(self, **_):
"""Expand the args as a section.parameter from the config."""
# This function is called when we see close ) and the stack depth has to
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"""Expand the args as a section.parameter from the config."""
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train | GrrConfigManager.MakeNewConfig | Creates a new configuration option based on this one.
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descriptors (i.e. no config options will be defined). Config
options are normally defined at import time, and then they get
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train | GrrConfigManager.CopyConfig | Make a complete new copy of the current config.
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Returns:
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A new config object with the same data as self.
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train | GrrConfigManager.SetWriteBack | Sets the config file which will receive any modifications.
The main config file can be made writable, but directing all Set()
operations into a secondary location. This secondary location will
receive any updates and will override the options for this file.
Args:
filename: A filename which will ... | grr/core/grr_response_core/lib/config_lib.py | def SetWriteBack(self, filename):
"""Sets the config file which will receive any modifications.
The main config file can be made writable, but directing all Set()
operations into a secondary location. This secondary location will
receive any updates and will override the options for this file.
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"""Sets the config file which will receive any modifications.
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train | GrrConfigManager.Validate | Validate sections or individual parameters.
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The GRR configuration file contains several sections, used by different
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Note that the configuration file may specify conflicting options for
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"""Adds a context string to the global configuration.
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train | GrrConfigManager.SetRaw | Set the raw string without verification or escaping. | grr/core/grr_response_core/lib/config_lib.py | def SetRaw(self, name, value):
"""Set the raw string without verification or escaping."""
if self.writeback is None:
logging.warning("Attempting to modify a read only config object.")
if name in self.constants:
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Args:
name: The name of the parameter to set.
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Args:
name: The name of the parameter to set.
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train | GrrConfigManager.Write | Write out the updated configuration to the fd. | grr/core/grr_response_core/lib/config_lib.py | def Write(self):
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self.writeback.SaveData(self.writeback_data)
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train | GrrConfigManager.WriteToFD | Write out the updated configuration to the fd. | grr/core/grr_response_core/lib/config_lib.py | def WriteToFD(self, fd):
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train | GrrConfigManager.Persist | Stores <config_option> in the writeback. | grr/core/grr_response_core/lib/config_lib.py | def Persist(self, config_option):
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train | GrrConfigManager.AddOption | Registers an option with the configuration system.
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constant: If this is set, the option is treated as a constant - it can be
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train | GrrConfigManager.MergeData | Merges data read from a config file into the current config. | grr/core/grr_response_core/lib/config_lib.py | def MergeData(self, merge_data, raw_data=None):
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raw_data = self.raw_data
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train | GrrConfigManager.GetParserFromFilename | Returns the appropriate parser class from the filename. | grr/core/grr_response_core/lib/config_lib.py | def GetParserFromFilename(self, path):
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train | GrrConfigManager.LoadSecondaryConfig | Loads an additional configuration file.
The configuration system has the concept of a single Primary configuration
file, and multiple secondary files. The primary configuration file is the
main file that is used by the program. Any writebacks will only be made to
the primary configuration file. Seconda... | grr/core/grr_response_core/lib/config_lib.py | def LoadSecondaryConfig(self, filename=None, parser=None):
"""Loads an additional configuration file.
The configuration system has the concept of a single Primary configuration
file, and multiple secondary files. The primary configuration file is the
main file that is used by the program. Any writeback... | def LoadSecondaryConfig(self, filename=None, parser=None):
"""Loads an additional configuration file.
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train | GrrConfigManager.Initialize | Initializes the config manager.
This method is used to add more config options to the manager. The config
can be given as one of the parameters as described in the Args section.
Args:
filename: The name of the configuration file to use.
data: The configuration given directly as a long string o... | grr/core/grr_response_core/lib/config_lib.py | def Initialize(self,
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fd=None,
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train | GrrConfigManager.GetRaw | Get the raw value without interpolations. | grr/core/grr_response_core/lib/config_lib.py | def GetRaw(self, name, context=None, default=utils.NotAValue):
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context = self.context
# Getting a raw value is pretty cheap so we wont bother with the cache here.
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# Getting a raw value is pretty cheap so we wont bother with the cache here.
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train | GrrConfigManager.Get | Get the value contained by the named parameter.
This method applies interpolation/escaping of the named parameter and
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Args:
name: The name of the parameter to retrieve. This should be in the format
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default: If retrieving the value re... | grr/core/grr_response_core/lib/config_lib.py | def Get(self, name, default=utils.NotAValue, context=None):
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This method applies interpolation/escaping of the named parameter and
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Args:
name: The name of the parameter to retrieve. This should be in the format
... | def Get(self, name, default=utils.NotAValue, context=None):
"""Get the value contained by the named parameter.
This method applies interpolation/escaping of the named parameter and
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name: The name of the parameter to retrieve. This should be in the format
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train | GrrConfigManager._ResolveContext | Returns the config options active under this context. | grr/core/grr_response_core/lib/config_lib.py | def _ResolveContext(self, context, name, raw_data, path=None):
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path = []
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train | GrrConfigManager._GetValue | Search for the value based on the context. | grr/core/grr_response_core/lib/config_lib.py | def _GetValue(self, name, context, default=utils.NotAValue):
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train | GrrConfigManager.FindTypeInfo | Search for a type_info instance which describes this key. | grr/core/grr_response_core/lib/config_lib.py | def FindTypeInfo(self, name):
"""Search for a type_info instance which describes this key."""
result = self.type_infos.get(name)
if result is None:
# Not found, assume string.
result = type_info.String(name=name, default="")
return result | def FindTypeInfo(self, name):
"""Search for a type_info instance which describes this key."""
result = self.type_infos.get(name)
if result is None:
# Not found, assume string.
result = type_info.String(name=name, default="")
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train | GrrConfigManager.InterpolateValue | Interpolate the value and parse it with the appropriate type. | grr/core/grr_response_core/lib/config_lib.py | def InterpolateValue(self,
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default_section=None,
context=None):
"""Interpolate the value and parse it with the appropriate type."""
# It is only possible to interpolate strings...... | def InterpolateValue(self,
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train | GrrConfigManager.MatchBuildContext | Return true if target_platforms matches the supplied parameters.
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Args:
target_os: which os we are building for in this run (linux, windows,
darwin)
target_arch: which arch we are building for in this run (i386, amd64)
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context=None):
"""Return true if target_platforms matches the supplied parameters.
Used by buildanddeploy to determine what clients need to be buil... | def MatchBuildContext(self,
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train | GrrConfigManager.DEFINE_bool | A helper for defining boolean options. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_bool(self, name, default, help, constant=False):
"""A helper for defining boolean options."""
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train | GrrConfigManager.DEFINE_float | A helper for defining float options. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_float(self, name, default, help, constant=False):
"""A helper for defining float options."""
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train | GrrConfigManager.DEFINE_integer | A helper for defining integer options. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_integer(self, name, default, help, constant=False):
"""A helper for defining integer options."""
self.AddOption(
type_info.Integer(name=name, default=default, description=help),
constant=constant) | def DEFINE_integer(self, name, default, help, constant=False):
"""A helper for defining integer options."""
self.AddOption(
type_info.Integer(name=name, default=default, description=help),
constant=constant) | [
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train | GrrConfigManager.DEFINE_string | A helper for defining string options. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_string(self, name, default, help, constant=False):
"""A helper for defining string options."""
self.AddOption(
type_info.String(name=name, default=default or "", description=help),
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train | GrrConfigManager.DEFINE_choice | A helper for defining choice string options. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_choice(self, name, default, choices, help, constant=False):
"""A helper for defining choice string options."""
self.AddOption(
type_info.Choice(
name=name, default=default, choices=choices, description=help),
constant=constant) | def DEFINE_choice(self, name, default, choices, help, constant=False):
"""A helper for defining choice string options."""
self.AddOption(
type_info.Choice(
name=name, default=default, choices=choices, description=help),
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train | GrrConfigManager.DEFINE_multichoice | Choose multiple options from a list. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_multichoice(self, name, default, choices, help, constant=False):
"""Choose multiple options from a list."""
self.AddOption(
type_info.MultiChoice(
name=name, default=default, choices=choices, description=help),
constant=constant) | def DEFINE_multichoice(self, name, default, choices, help, constant=False):
"""Choose multiple options from a list."""
self.AddOption(
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train | GrrConfigManager.DEFINE_integer_list | A helper for defining lists of integer options. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_integer_list(self, name, default, help, constant=False):
"""A helper for defining lists of integer options."""
self.AddOption(
type_info.List(
name=name,
default=default,
description=help,
validator=type_info.Integer()),
constant=constan... | def DEFINE_integer_list(self, name, default, help, constant=False):
"""A helper for defining lists of integer options."""
self.AddOption(
type_info.List(
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default=default,
description=help,
validator=type_info.Integer()),
constant=constan... | [
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train | GrrConfigManager.DEFINE_list | A helper for defining lists of strings options. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_list(self, name, default, help, constant=False):
"""A helper for defining lists of strings options."""
self.AddOption(
type_info.List(
name=name,
default=default,
description=help,
validator=type_info.String()),
constant=constant) | def DEFINE_list(self, name, default, help, constant=False):
"""A helper for defining lists of strings options."""
self.AddOption(
type_info.List(
name=name,
default=default,
description=help,
validator=type_info.String()),
constant=constant) | [
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train | GrrConfigManager.DEFINE_constant_string | A helper for defining constant strings. | grr/core/grr_response_core/lib/config_lib.py | def DEFINE_constant_string(self, name, default, help):
"""A helper for defining constant strings."""
self.AddOption(
type_info.String(name=name, default=default or "", description=help),
constant=True) | def DEFINE_constant_string(self, name, default, help):
"""A helper for defining constant strings."""
self.AddOption(
type_info.String(name=name, default=default or "", description=help),
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train | RegistryConfigParser.RawData | Yields the valus in each section. | grr/client/grr_response_client/windows/regconfig.py | def RawData(self):
"""Yields the valus in each section."""
result = collections.OrderedDict()
i = 0
while True:
try:
name, value, value_type = winreg.EnumValue(self._AccessRootKey(), i)
# Only support strings here.
if value_type == winreg.REG_SZ:
precondition.Ass... | def RawData(self):
"""Yields the valus in each section."""
result = collections.OrderedDict()
i = 0
while True:
try:
name, value, value_type = winreg.EnumValue(self._AccessRootKey(), i)
# Only support strings here.
if value_type == winreg.REG_SZ:
precondition.Ass... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/client/grr_response_client/windows/regconfig.py#L59-L76 | [
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train | MySQLDBEventMixin.ReadAPIAuditEntries | Returns audit entries stored in the database. | grr/server/grr_response_server/databases/mysql_events.py | def ReadAPIAuditEntries(self,
username=None,
router_method_names=None,
min_timestamp=None,
max_timestamp=None,
cursor=None):
"""Returns audit entries stored in the database."""
quer... | def ReadAPIAuditEntries(self,
username=None,
router_method_names=None,
min_timestamp=None,
max_timestamp=None,
cursor=None):
"""Returns audit entries stored in the database."""
quer... | [
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train | MySQLDBEventMixin.CountAPIAuditEntriesByUserAndDay | Returns audit entry counts grouped by user and calendar day. | grr/server/grr_response_server/databases/mysql_events.py | def CountAPIAuditEntriesByUserAndDay(self,
min_timestamp=None,
max_timestamp=None,
cursor=None):
"""Returns audit entry counts grouped by user and calendar day."""
query = """
-- Timestam... | def CountAPIAuditEntriesByUserAndDay(self,
min_timestamp=None,
max_timestamp=None,
cursor=None):
"""Returns audit entry counts grouped by user and calendar day."""
query = """
-- Timestam... | [
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train | MySQLDBEventMixin.WriteAPIAuditEntry | Writes an audit entry to the database. | grr/server/grr_response_server/databases/mysql_events.py | def WriteAPIAuditEntry(self, entry, cursor=None):
"""Writes an audit entry to the database."""
args = {
"username":
entry.username,
"router_method_name":
entry.router_method_name,
"details":
entry.SerializeToString(),
"timestamp":
m... | def WriteAPIAuditEntry(self, entry, cursor=None):
"""Writes an audit entry to the database."""
args = {
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entry.username,
"router_method_name":
entry.router_method_name,
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"timestamp":
m... | [
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train | LastActiveReportPlugin.GetReportData | Show how the last active breakdown evolved over time. | grr/server/grr_response_server/gui/api_plugins/report_plugins/client_report_plugins.py | def GetReportData(self, get_report_args, token):
"""Show how the last active breakdown evolved over time."""
report = rdf_report_plugins.ApiReportData(
representation_type=rdf_report_plugins.ApiReportData.RepresentationType
.LINE_CHART)
series_with_timestamps = client_report_utils.FetchAllG... | def GetReportData(self, get_report_args, token):
"""Show how the last active breakdown evolved over time."""
report = rdf_report_plugins.ApiReportData(
representation_type=rdf_report_plugins.ApiReportData.RepresentationType
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series_with_timestamps = client_report_utils.FetchAllG... | [
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train | OSBreakdown1ReportPlugin.GetReportData | Extract only the operating system type from the active histogram. | grr/server/grr_response_server/gui/api_plugins/report_plugins/client_report_plugins.py | def GetReportData(self, get_report_args, token):
"""Extract only the operating system type from the active histogram."""
report = rdf_report_plugins.ApiReportData(
representation_type=rdf_report_plugins.ApiReportData.RepresentationType
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graph_series = client_report_utils.FetchMos... | def GetReportData(self, get_report_args, token):
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report = rdf_report_plugins.ApiReportData(
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train | StartService | Start a Windows service with the given name.
Args:
service_name: string The name of the service to be started. | grr/client/grr_response_client/windows/installers.py | def StartService(service_name):
"""Start a Windows service with the given name.
Args:
service_name: string The name of the service to be started.
"""
try:
win32serviceutil.StartService(service_name)
logging.info("Service '%s' started.", service_name)
except pywintypes.error as e:
if getattr(e... | def StartService(service_name):
"""Start a Windows service with the given name.
Args:
service_name: string The name of the service to be started.
"""
try:
win32serviceutil.StartService(service_name)
logging.info("Service '%s' started.", service_name)
except pywintypes.error as e:
if getattr(e... | [
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train | StopService | Stop a Windows service with the given name.
Args:
service_name: string The name of the service to be stopped.
service_binary_name: string If given, also kill this binary as a best effort
fallback solution. | grr/client/grr_response_client/windows/installers.py | def StopService(service_name, service_binary_name=None):
"""Stop a Windows service with the given name.
Args:
service_name: string The name of the service to be stopped.
service_binary_name: string If given, also kill this binary as a best effort
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"""
# QueryServiceStatus retu... | def StopService(service_name, service_binary_name=None):
"""Stop a Windows service with the given name.
Args:
service_name: string The name of the service to be stopped.
service_binary_name: string If given, also kill this binary as a best effort
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train | CopyToSystemDir.StopPreviousService | Stops the Windows service hosting the GRR process. | grr/client/grr_response_client/windows/installers.py | def StopPreviousService(self):
"""Stops the Windows service hosting the GRR process."""
StopService(
service_name=config.CONFIG["Nanny.service_name"],
service_binary_name=config.CONFIG["Nanny.service_binary_name"])
if not config.CONFIG["Client.fleetspeak_enabled"]:
return
StopSer... | def StopPreviousService(self):
"""Stops the Windows service hosting the GRR process."""
StopService(
service_name=config.CONFIG["Nanny.service_name"],
service_binary_name=config.CONFIG["Nanny.service_binary_name"])
if not config.CONFIG["Client.fleetspeak_enabled"]:
return
StopSer... | [
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train | CopyToSystemDir.RunOnce | Copy the binaries from the temporary unpack location.
We need to first stop the running service or we might not be able to write
on the binary. We then copy the entire directory where we are running from
into the location indicated by "Client.install_path". | grr/client/grr_response_client/windows/installers.py | def RunOnce(self):
"""Copy the binaries from the temporary unpack location.
We need to first stop the running service or we might not be able to write
on the binary. We then copy the entire directory where we are running from
into the location indicated by "Client.install_path".
"""
self.StopPr... | def RunOnce(self):
"""Copy the binaries from the temporary unpack location.
We need to first stop the running service or we might not be able to write
on the binary. We then copy the entire directory where we are running from
into the location indicated by "Client.install_path".
"""
self.StopPr... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/client/grr_response_client/windows/installers.py#L167-L219 | [
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train | WindowsInstaller.InstallNanny | Install the nanny program. | grr/client/grr_response_client/windows/installers.py | def InstallNanny(self):
"""Install the nanny program."""
# We need to copy the nanny sections to the registry to ensure the
# service is correctly configured.
new_config = config.CONFIG.MakeNewConfig()
new_config.SetWriteBack(config.CONFIG["Config.writeback"])
for option in self.nanny_options:
... | def InstallNanny(self):
"""Install the nanny program."""
# We need to copy the nanny sections to the registry to ensure the
# service is correctly configured.
new_config = config.CONFIG.MakeNewConfig()
new_config.SetWriteBack(config.CONFIG["Config.writeback"])
for option in self.nanny_options:
... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/client/grr_response_client/windows/installers.py#L235-L255 | [
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train | BuildLegacySubject | Builds a legacy AFF4 urn string for a given subject and approval type. | grr/server/grr_response_server/gui/approval_checks.py | def BuildLegacySubject(subject_id, approval_type):
"""Builds a legacy AFF4 urn string for a given subject and approval type."""
at = rdf_objects.ApprovalRequest.ApprovalType
if approval_type == at.APPROVAL_TYPE_CLIENT:
return "aff4:/%s" % subject_id
elif approval_type == at.APPROVAL_TYPE_HUNT:
return "... | def BuildLegacySubject(subject_id, approval_type):
"""Builds a legacy AFF4 urn string for a given subject and approval type."""
at = rdf_objects.ApprovalRequest.ApprovalType
if approval_type == at.APPROVAL_TYPE_CLIENT:
return "aff4:/%s" % subject_id
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return "... | [
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train | CheckClientApprovalRequest | Checks if a client approval request is granted. | grr/server/grr_response_server/gui/approval_checks.py | def CheckClientApprovalRequest(approval_request):
"""Checks if a client approval request is granted."""
_CheckExpired(approval_request)
_CheckHasEnoughGrants(approval_request)
if not client_approval_auth.CLIENT_APPROVAL_AUTH_MGR.IsActive():
return True
token = access_control.ACLToken(username=approval_... | def CheckClientApprovalRequest(approval_request):
"""Checks if a client approval request is granted."""
_CheckExpired(approval_request)
_CheckHasEnoughGrants(approval_request)
if not client_approval_auth.CLIENT_APPROVAL_AUTH_MGR.IsActive():
return True
token = access_control.ACLToken(username=approval_... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/gui/approval_checks.py#L64-L84 | [
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train | CheckApprovalRequest | Checks if an approval request is granted. | grr/server/grr_response_server/gui/approval_checks.py | def CheckApprovalRequest(approval_request):
"""Checks if an approval request is granted."""
at = rdf_objects.ApprovalRequest.ApprovalType
if approval_request.approval_type == at.APPROVAL_TYPE_CLIENT:
return CheckClientApprovalRequest(approval_request)
elif approval_request.approval_type == at.APPROVAL_TYP... | def CheckApprovalRequest(approval_request):
"""Checks if an approval request is granted."""
at = rdf_objects.ApprovalRequest.ApprovalType
if approval_request.approval_type == at.APPROVAL_TYPE_CLIENT:
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/gui/approval_checks.py#L103-L116 | [
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train | APIAuthorization.ParseYAMLAuthorizationsList | Parses YAML data into a list of APIAuthorization objects. | grr/server/grr_response_server/gui/api_auth_manager.py | def ParseYAMLAuthorizationsList(yaml_data):
"""Parses YAML data into a list of APIAuthorization objects."""
try:
raw_list = yaml.ParseMany(yaml_data)
except (ValueError, pyyaml.YAMLError) as e:
raise InvalidAPIAuthorization("Invalid YAML: %s" % e)
result = []
for auth_src in raw_list:
... | def ParseYAMLAuthorizationsList(yaml_data):
"""Parses YAML data into a list of APIAuthorization objects."""
try:
raw_list = yaml.ParseMany(yaml_data)
except (ValueError, pyyaml.YAMLError) as e:
raise InvalidAPIAuthorization("Invalid YAML: %s" % e)
result = []
for auth_src in raw_list:
... | [
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"."
] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/gui/api_auth_manager.py#L48-L65 | [
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"InvalidAPIAuthorization... | 5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74 |
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