repo
stringlengths 7
55
| path
stringlengths 4
223
| func_name
stringlengths 1
134
| original_string
stringlengths 75
104k
| language
stringclasses 1
value | code
stringlengths 75
104k
| code_tokens
listlengths 19
28.4k
| docstring
stringlengths 1
46.9k
| docstring_tokens
listlengths 1
1.97k
| sha
stringlengths 40
40
| url
stringlengths 87
315
| partition
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|
awslabs/serverless-application-model
|
samtranslator/model/intrinsics.py
|
make_combined_condition
|
def make_combined_condition(conditions_list, condition_name):
"""
Makes a combined condition using Fn::Or. Since Fn::Or only accepts up to 10 conditions,
this method optionally creates multiple conditions. These conditions are named based on
the condition_name parameter that is passed into the method.
:param list conditions_list: list of conditions
:param string condition_name: base name desired for new condition
:return: dictionary of condition_name: condition_value
"""
if len(conditions_list) < 2:
# Can't make a condition if <2 conditions provided.
return None
# Total number of conditions allows in an Fn::Or statement. See docs:
# https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference-conditions.html#intrinsic-function-reference-conditions-or
max_conditions = 10
conditions = {}
conditions_length = len(conditions_list)
# Get number of conditions needed, then minus one to use them as 0-based indices
zero_based_num_conditions = calculate_number_of_conditions(conditions_length, max_conditions) - 1
while len(conditions_list) > 1:
new_condition_name = condition_name
# If more than 1 new condition is needed, add a number to the end of the name
if zero_based_num_conditions > 0:
new_condition_name = '{}{}'.format(condition_name, zero_based_num_conditions)
zero_based_num_conditions -= 1
new_condition_content = make_or_condition(conditions_list[:max_conditions])
conditions_list = conditions_list[max_conditions:]
conditions_list.append(new_condition_name)
conditions[new_condition_name] = new_condition_content
return conditions
|
python
|
def make_combined_condition(conditions_list, condition_name):
"""
Makes a combined condition using Fn::Or. Since Fn::Or only accepts up to 10 conditions,
this method optionally creates multiple conditions. These conditions are named based on
the condition_name parameter that is passed into the method.
:param list conditions_list: list of conditions
:param string condition_name: base name desired for new condition
:return: dictionary of condition_name: condition_value
"""
if len(conditions_list) < 2:
# Can't make a condition if <2 conditions provided.
return None
# Total number of conditions allows in an Fn::Or statement. See docs:
# https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference-conditions.html#intrinsic-function-reference-conditions-or
max_conditions = 10
conditions = {}
conditions_length = len(conditions_list)
# Get number of conditions needed, then minus one to use them as 0-based indices
zero_based_num_conditions = calculate_number_of_conditions(conditions_length, max_conditions) - 1
while len(conditions_list) > 1:
new_condition_name = condition_name
# If more than 1 new condition is needed, add a number to the end of the name
if zero_based_num_conditions > 0:
new_condition_name = '{}{}'.format(condition_name, zero_based_num_conditions)
zero_based_num_conditions -= 1
new_condition_content = make_or_condition(conditions_list[:max_conditions])
conditions_list = conditions_list[max_conditions:]
conditions_list.append(new_condition_name)
conditions[new_condition_name] = new_condition_content
return conditions
|
[
"def",
"make_combined_condition",
"(",
"conditions_list",
",",
"condition_name",
")",
":",
"if",
"len",
"(",
"conditions_list",
")",
"<",
"2",
":",
"# Can't make a condition if <2 conditions provided.",
"return",
"None",
"# Total number of conditions allows in an Fn::Or statement. See docs:",
"# https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference-conditions.html#intrinsic-function-reference-conditions-or",
"max_conditions",
"=",
"10",
"conditions",
"=",
"{",
"}",
"conditions_length",
"=",
"len",
"(",
"conditions_list",
")",
"# Get number of conditions needed, then minus one to use them as 0-based indices",
"zero_based_num_conditions",
"=",
"calculate_number_of_conditions",
"(",
"conditions_length",
",",
"max_conditions",
")",
"-",
"1",
"while",
"len",
"(",
"conditions_list",
")",
">",
"1",
":",
"new_condition_name",
"=",
"condition_name",
"# If more than 1 new condition is needed, add a number to the end of the name",
"if",
"zero_based_num_conditions",
">",
"0",
":",
"new_condition_name",
"=",
"'{}{}'",
".",
"format",
"(",
"condition_name",
",",
"zero_based_num_conditions",
")",
"zero_based_num_conditions",
"-=",
"1",
"new_condition_content",
"=",
"make_or_condition",
"(",
"conditions_list",
"[",
":",
"max_conditions",
"]",
")",
"conditions_list",
"=",
"conditions_list",
"[",
"max_conditions",
":",
"]",
"conditions_list",
".",
"append",
"(",
"new_condition_name",
")",
"conditions",
"[",
"new_condition_name",
"]",
"=",
"new_condition_content",
"return",
"conditions"
] |
Makes a combined condition using Fn::Or. Since Fn::Or only accepts up to 10 conditions,
this method optionally creates multiple conditions. These conditions are named based on
the condition_name parameter that is passed into the method.
:param list conditions_list: list of conditions
:param string condition_name: base name desired for new condition
:return: dictionary of condition_name: condition_value
|
[
"Makes",
"a",
"combined",
"condition",
"using",
"Fn",
"::",
"Or",
".",
"Since",
"Fn",
"::",
"Or",
"only",
"accepts",
"up",
"to",
"10",
"conditions",
"this",
"method",
"optionally",
"creates",
"multiple",
"conditions",
".",
"These",
"conditions",
"are",
"named",
"based",
"on",
"the",
"condition_name",
"parameter",
"that",
"is",
"passed",
"into",
"the",
"method",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/intrinsics.py#L66-L99
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/intrinsics.py
|
is_instrinsic
|
def is_instrinsic(input):
"""
Checks if the given input is an intrinsic function dictionary. Intrinsic function is a dictionary with single
key that is the name of the intrinsics.
:param input: Input value to check if it is an intrinsic
:return: True, if yes
"""
if input is not None \
and isinstance(input, dict) \
and len(input) == 1:
key = list(input.keys())[0]
return key == "Ref" or key == "Condition" or key.startswith("Fn::")
return False
|
python
|
def is_instrinsic(input):
"""
Checks if the given input is an intrinsic function dictionary. Intrinsic function is a dictionary with single
key that is the name of the intrinsics.
:param input: Input value to check if it is an intrinsic
:return: True, if yes
"""
if input is not None \
and isinstance(input, dict) \
and len(input) == 1:
key = list(input.keys())[0]
return key == "Ref" or key == "Condition" or key.startswith("Fn::")
return False
|
[
"def",
"is_instrinsic",
"(",
"input",
")",
":",
"if",
"input",
"is",
"not",
"None",
"and",
"isinstance",
"(",
"input",
",",
"dict",
")",
"and",
"len",
"(",
"input",
")",
"==",
"1",
":",
"key",
"=",
"list",
"(",
"input",
".",
"keys",
"(",
")",
")",
"[",
"0",
"]",
"return",
"key",
"==",
"\"Ref\"",
"or",
"key",
"==",
"\"Condition\"",
"or",
"key",
".",
"startswith",
"(",
"\"Fn::\"",
")",
"return",
"False"
] |
Checks if the given input is an intrinsic function dictionary. Intrinsic function is a dictionary with single
key that is the name of the intrinsics.
:param input: Input value to check if it is an intrinsic
:return: True, if yes
|
[
"Checks",
"if",
"the",
"given",
"input",
"is",
"an",
"intrinsic",
"function",
"dictionary",
".",
"Intrinsic",
"function",
"is",
"a",
"dictionary",
"with",
"single",
"key",
"that",
"is",
"the",
"name",
"of",
"the",
"intrinsics",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/intrinsics.py#L124-L140
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
Action.can_handle
|
def can_handle(self, input_dict):
"""
Validates that the input dictionary contains only one key and is of the given intrinsic_name
:param input_dict: Input dictionary representing the intrinsic function
:return: True if it matches expected structure, False otherwise
"""
return input_dict is not None \
and isinstance(input_dict, dict) \
and len(input_dict) == 1 \
and self.intrinsic_name in input_dict
|
python
|
def can_handle(self, input_dict):
"""
Validates that the input dictionary contains only one key and is of the given intrinsic_name
:param input_dict: Input dictionary representing the intrinsic function
:return: True if it matches expected structure, False otherwise
"""
return input_dict is not None \
and isinstance(input_dict, dict) \
and len(input_dict) == 1 \
and self.intrinsic_name in input_dict
|
[
"def",
"can_handle",
"(",
"self",
",",
"input_dict",
")",
":",
"return",
"input_dict",
"is",
"not",
"None",
"and",
"isinstance",
"(",
"input_dict",
",",
"dict",
")",
"and",
"len",
"(",
"input_dict",
")",
"==",
"1",
"and",
"self",
".",
"intrinsic_name",
"in",
"input_dict"
] |
Validates that the input dictionary contains only one key and is of the given intrinsic_name
:param input_dict: Input dictionary representing the intrinsic function
:return: True if it matches expected structure, False otherwise
|
[
"Validates",
"that",
"the",
"input",
"dictionary",
"contains",
"only",
"one",
"key",
"and",
"is",
"of",
"the",
"given",
"intrinsic_name"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L41-L52
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
Action._parse_resource_reference
|
def _parse_resource_reference(cls, ref_value):
"""
Splits a resource reference of structure "LogicalId.Property" and returns the "LogicalId" and "Property"
separately.
:param string ref_value: Input reference value which *may* contain the structure "LogicalId.Property"
:return string, string: Returns two values - logical_id, property. If the input does not contain the structure,
then both `logical_id` and property will be None
"""
no_result = (None, None)
if not isinstance(ref_value, string_types):
return no_result
splits = ref_value.split(cls._resource_ref_separator, 1)
# Either there is no 'dot' (or) one of the values is empty string (Ex: when you split "LogicalId.")
if len(splits) != 2 or not all(splits):
return no_result
return splits[0], splits[1]
|
python
|
def _parse_resource_reference(cls, ref_value):
"""
Splits a resource reference of structure "LogicalId.Property" and returns the "LogicalId" and "Property"
separately.
:param string ref_value: Input reference value which *may* contain the structure "LogicalId.Property"
:return string, string: Returns two values - logical_id, property. If the input does not contain the structure,
then both `logical_id` and property will be None
"""
no_result = (None, None)
if not isinstance(ref_value, string_types):
return no_result
splits = ref_value.split(cls._resource_ref_separator, 1)
# Either there is no 'dot' (or) one of the values is empty string (Ex: when you split "LogicalId.")
if len(splits) != 2 or not all(splits):
return no_result
return splits[0], splits[1]
|
[
"def",
"_parse_resource_reference",
"(",
"cls",
",",
"ref_value",
")",
":",
"no_result",
"=",
"(",
"None",
",",
"None",
")",
"if",
"not",
"isinstance",
"(",
"ref_value",
",",
"string_types",
")",
":",
"return",
"no_result",
"splits",
"=",
"ref_value",
".",
"split",
"(",
"cls",
".",
"_resource_ref_separator",
",",
"1",
")",
"# Either there is no 'dot' (or) one of the values is empty string (Ex: when you split \"LogicalId.\")",
"if",
"len",
"(",
"splits",
")",
"!=",
"2",
"or",
"not",
"all",
"(",
"splits",
")",
":",
"return",
"no_result",
"return",
"splits",
"[",
"0",
"]",
",",
"splits",
"[",
"1",
"]"
] |
Splits a resource reference of structure "LogicalId.Property" and returns the "LogicalId" and "Property"
separately.
:param string ref_value: Input reference value which *may* contain the structure "LogicalId.Property"
:return string, string: Returns two values - logical_id, property. If the input does not contain the structure,
then both `logical_id` and property will be None
|
[
"Splits",
"a",
"resource",
"reference",
"of",
"structure",
"LogicalId",
".",
"Property",
"and",
"returns",
"the",
"LogicalId",
"and",
"Property",
"separately",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L55-L76
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
RefAction.resolve_parameter_refs
|
def resolve_parameter_refs(self, input_dict, parameters):
"""
Resolves references that are present in the parameters and returns the value. If it is not in parameters,
this method simply returns the input unchanged.
:param input_dict: Dictionary representing the Ref function. Must contain only one key and it should be "Ref".
Ex: {Ref: "foo"}
:param parameters: Dictionary of parameter values for resolution
:return:
"""
if not self.can_handle(input_dict):
return input_dict
param_name = input_dict[self.intrinsic_name]
if not isinstance(param_name, string_types):
return input_dict
if param_name in parameters:
return parameters[param_name]
else:
return input_dict
|
python
|
def resolve_parameter_refs(self, input_dict, parameters):
"""
Resolves references that are present in the parameters and returns the value. If it is not in parameters,
this method simply returns the input unchanged.
:param input_dict: Dictionary representing the Ref function. Must contain only one key and it should be "Ref".
Ex: {Ref: "foo"}
:param parameters: Dictionary of parameter values for resolution
:return:
"""
if not self.can_handle(input_dict):
return input_dict
param_name = input_dict[self.intrinsic_name]
if not isinstance(param_name, string_types):
return input_dict
if param_name in parameters:
return parameters[param_name]
else:
return input_dict
|
[
"def",
"resolve_parameter_refs",
"(",
"self",
",",
"input_dict",
",",
"parameters",
")",
":",
"if",
"not",
"self",
".",
"can_handle",
"(",
"input_dict",
")",
":",
"return",
"input_dict",
"param_name",
"=",
"input_dict",
"[",
"self",
".",
"intrinsic_name",
"]",
"if",
"not",
"isinstance",
"(",
"param_name",
",",
"string_types",
")",
":",
"return",
"input_dict",
"if",
"param_name",
"in",
"parameters",
":",
"return",
"parameters",
"[",
"param_name",
"]",
"else",
":",
"return",
"input_dict"
] |
Resolves references that are present in the parameters and returns the value. If it is not in parameters,
this method simply returns the input unchanged.
:param input_dict: Dictionary representing the Ref function. Must contain only one key and it should be "Ref".
Ex: {Ref: "foo"}
:param parameters: Dictionary of parameter values for resolution
:return:
|
[
"Resolves",
"references",
"that",
"are",
"present",
"in",
"the",
"parameters",
"and",
"returns",
"the",
"value",
".",
"If",
"it",
"is",
"not",
"in",
"parameters",
"this",
"method",
"simply",
"returns",
"the",
"input",
"unchanged",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L82-L104
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
RefAction.resolve_resource_refs
|
def resolve_resource_refs(self, input_dict, supported_resource_refs):
"""
Resolves references to some property of a resource. These are runtime properties which can't be converted
to a value here. Instead we output another reference that will more actually resolve to the value when
executed via CloudFormation
Example:
{"Ref": "LogicalId.Property"} => {"Ref": "SomeOtherLogicalId"}
:param dict input_dict: Dictionary representing the Ref function to be resolved.
:param samtranslator.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return dict: Dictionary with resource references resolved.
"""
if not self.can_handle(input_dict):
return input_dict
ref_value = input_dict[self.intrinsic_name]
logical_id, property = self._parse_resource_reference(ref_value)
# ref_value could not be parsed
if not logical_id:
return input_dict
resolved_value = supported_resource_refs.get(logical_id, property)
if not resolved_value:
return input_dict
return {
self.intrinsic_name: resolved_value
}
|
python
|
def resolve_resource_refs(self, input_dict, supported_resource_refs):
"""
Resolves references to some property of a resource. These are runtime properties which can't be converted
to a value here. Instead we output another reference that will more actually resolve to the value when
executed via CloudFormation
Example:
{"Ref": "LogicalId.Property"} => {"Ref": "SomeOtherLogicalId"}
:param dict input_dict: Dictionary representing the Ref function to be resolved.
:param samtranslator.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return dict: Dictionary with resource references resolved.
"""
if not self.can_handle(input_dict):
return input_dict
ref_value = input_dict[self.intrinsic_name]
logical_id, property = self._parse_resource_reference(ref_value)
# ref_value could not be parsed
if not logical_id:
return input_dict
resolved_value = supported_resource_refs.get(logical_id, property)
if not resolved_value:
return input_dict
return {
self.intrinsic_name: resolved_value
}
|
[
"def",
"resolve_resource_refs",
"(",
"self",
",",
"input_dict",
",",
"supported_resource_refs",
")",
":",
"if",
"not",
"self",
".",
"can_handle",
"(",
"input_dict",
")",
":",
"return",
"input_dict",
"ref_value",
"=",
"input_dict",
"[",
"self",
".",
"intrinsic_name",
"]",
"logical_id",
",",
"property",
"=",
"self",
".",
"_parse_resource_reference",
"(",
"ref_value",
")",
"# ref_value could not be parsed",
"if",
"not",
"logical_id",
":",
"return",
"input_dict",
"resolved_value",
"=",
"supported_resource_refs",
".",
"get",
"(",
"logical_id",
",",
"property",
")",
"if",
"not",
"resolved_value",
":",
"return",
"input_dict",
"return",
"{",
"self",
".",
"intrinsic_name",
":",
"resolved_value",
"}"
] |
Resolves references to some property of a resource. These are runtime properties which can't be converted
to a value here. Instead we output another reference that will more actually resolve to the value when
executed via CloudFormation
Example:
{"Ref": "LogicalId.Property"} => {"Ref": "SomeOtherLogicalId"}
:param dict input_dict: Dictionary representing the Ref function to be resolved.
:param samtranslator.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return dict: Dictionary with resource references resolved.
|
[
"Resolves",
"references",
"to",
"some",
"property",
"of",
"a",
"resource",
".",
"These",
"are",
"runtime",
"properties",
"which",
"can",
"t",
"be",
"converted",
"to",
"a",
"value",
"here",
".",
"Instead",
"we",
"output",
"another",
"reference",
"that",
"will",
"more",
"actually",
"resolve",
"to",
"the",
"value",
"when",
"executed",
"via",
"CloudFormation"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L106-L137
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
RefAction.resolve_resource_id_refs
|
def resolve_resource_id_refs(self, input_dict, supported_resource_id_refs):
"""
Updates references to the old logical id of a resource to the new (generated) logical id.
Example:
{"Ref": "MyLayer"} => {"Ref": "MyLayerABC123"}
:param dict input_dict: Dictionary representing the Ref function to be resolved.
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return dict: Dictionary with resource references resolved.
"""
if not self.can_handle(input_dict):
return input_dict
ref_value = input_dict[self.intrinsic_name]
if not isinstance(ref_value, string_types) or self._resource_ref_separator in ref_value:
return input_dict
logical_id = ref_value
resolved_value = supported_resource_id_refs.get(logical_id)
if not resolved_value:
return input_dict
return {
self.intrinsic_name: resolved_value
}
|
python
|
def resolve_resource_id_refs(self, input_dict, supported_resource_id_refs):
"""
Updates references to the old logical id of a resource to the new (generated) logical id.
Example:
{"Ref": "MyLayer"} => {"Ref": "MyLayerABC123"}
:param dict input_dict: Dictionary representing the Ref function to be resolved.
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return dict: Dictionary with resource references resolved.
"""
if not self.can_handle(input_dict):
return input_dict
ref_value = input_dict[self.intrinsic_name]
if not isinstance(ref_value, string_types) or self._resource_ref_separator in ref_value:
return input_dict
logical_id = ref_value
resolved_value = supported_resource_id_refs.get(logical_id)
if not resolved_value:
return input_dict
return {
self.intrinsic_name: resolved_value
}
|
[
"def",
"resolve_resource_id_refs",
"(",
"self",
",",
"input_dict",
",",
"supported_resource_id_refs",
")",
":",
"if",
"not",
"self",
".",
"can_handle",
"(",
"input_dict",
")",
":",
"return",
"input_dict",
"ref_value",
"=",
"input_dict",
"[",
"self",
".",
"intrinsic_name",
"]",
"if",
"not",
"isinstance",
"(",
"ref_value",
",",
"string_types",
")",
"or",
"self",
".",
"_resource_ref_separator",
"in",
"ref_value",
":",
"return",
"input_dict",
"logical_id",
"=",
"ref_value",
"resolved_value",
"=",
"supported_resource_id_refs",
".",
"get",
"(",
"logical_id",
")",
"if",
"not",
"resolved_value",
":",
"return",
"input_dict",
"return",
"{",
"self",
".",
"intrinsic_name",
":",
"resolved_value",
"}"
] |
Updates references to the old logical id of a resource to the new (generated) logical id.
Example:
{"Ref": "MyLayer"} => {"Ref": "MyLayerABC123"}
:param dict input_dict: Dictionary representing the Ref function to be resolved.
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return dict: Dictionary with resource references resolved.
|
[
"Updates",
"references",
"to",
"the",
"old",
"logical",
"id",
"of",
"a",
"resource",
"to",
"the",
"new",
"(",
"generated",
")",
"logical",
"id",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L139-L166
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
SubAction.resolve_parameter_refs
|
def resolve_parameter_refs(self, input_dict, parameters):
"""
Substitute references found within the string of `Fn::Sub` intrinsic function
:param input_dict: Dictionary representing the Fn::Sub function. Must contain only one key and it should be
`Fn::Sub`. Ex: {"Fn::Sub": ...}
:param parameters: Dictionary of parameter values for substitution
:return: Resolved
"""
def do_replacement(full_ref, prop_name):
"""
Replace parameter references with actual value. Return value of this method is directly replaces the
reference structure
:param full_ref: => ${logicalId.property}
:param prop_name: => logicalId.property
:return: Either the value it resolves to. If not the original reference
"""
return parameters.get(prop_name, full_ref)
return self._handle_sub_action(input_dict, do_replacement)
|
python
|
def resolve_parameter_refs(self, input_dict, parameters):
"""
Substitute references found within the string of `Fn::Sub` intrinsic function
:param input_dict: Dictionary representing the Fn::Sub function. Must contain only one key and it should be
`Fn::Sub`. Ex: {"Fn::Sub": ...}
:param parameters: Dictionary of parameter values for substitution
:return: Resolved
"""
def do_replacement(full_ref, prop_name):
"""
Replace parameter references with actual value. Return value of this method is directly replaces the
reference structure
:param full_ref: => ${logicalId.property}
:param prop_name: => logicalId.property
:return: Either the value it resolves to. If not the original reference
"""
return parameters.get(prop_name, full_ref)
return self._handle_sub_action(input_dict, do_replacement)
|
[
"def",
"resolve_parameter_refs",
"(",
"self",
",",
"input_dict",
",",
"parameters",
")",
":",
"def",
"do_replacement",
"(",
"full_ref",
",",
"prop_name",
")",
":",
"\"\"\"\n Replace parameter references with actual value. Return value of this method is directly replaces the\n reference structure\n\n :param full_ref: => ${logicalId.property}\n :param prop_name: => logicalId.property\n :return: Either the value it resolves to. If not the original reference\n \"\"\"",
"return",
"parameters",
".",
"get",
"(",
"prop_name",
",",
"full_ref",
")",
"return",
"self",
".",
"_handle_sub_action",
"(",
"input_dict",
",",
"do_replacement",
")"
] |
Substitute references found within the string of `Fn::Sub` intrinsic function
:param input_dict: Dictionary representing the Fn::Sub function. Must contain only one key and it should be
`Fn::Sub`. Ex: {"Fn::Sub": ...}
:param parameters: Dictionary of parameter values for substitution
:return: Resolved
|
[
"Substitute",
"references",
"found",
"within",
"the",
"string",
"of",
"Fn",
"::",
"Sub",
"intrinsic",
"function"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L172-L194
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
SubAction.resolve_resource_refs
|
def resolve_resource_refs(self, input_dict, supported_resource_refs):
"""
Resolves reference to some property of a resource. Inside string to be substituted, there could be either a
"Ref" or a "GetAtt" usage of this property. They have to be handled differently.
Ref usages are directly converted to a Ref on the resolved value. GetAtt usages are split under the assumption
that there can be only one property of resource referenced here. Everything else is an attribute reference.
Example:
Let's say `LogicalId.Property` will be resolved to `ResolvedValue`
Ref usage:
${LogicalId.Property} => ${ResolvedValue}
GetAtt usage:
${LogicalId.Property.Arn} => ${ResolvedValue.Arn}
${LogicalId.Property.Attr1.Attr2} => {ResolvedValue.Attr1.Attr2}
:param input_dict: Dictionary to be resolved
:param samtranslator.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return: Resolved dictionary
"""
def do_replacement(full_ref, ref_value):
"""
Perform the appropriate replacement to handle ${LogicalId.Property} type references inside a Sub.
This method is called to get the replacement string for each reference within Sub's value
:param full_ref: Entire reference string such as "${LogicalId.Property}"
:param ref_value: Just the value of the reference such as "LogicalId.Property"
:return: Resolved reference of the structure "${SomeOtherLogicalId}". Result should always include the
${} structure since we are not resolving to final value, but just converting one reference to another
"""
# Split the value by separator, expecting to separate out LogicalId.Property
splits = ref_value.split(self._resource_ref_separator)
# If we don't find at least two parts, there is nothing to resolve
if len(splits) < 2:
return full_ref
logical_id = splits[0]
property = splits[1]
resolved_value = supported_resource_refs.get(logical_id, property)
if not resolved_value:
# This ID/property combination is not in the supported references
return full_ref
# We found a LogicalId.Property combination that can be resolved. Construct the output by replacing
# the part of the reference string and not constructing a new ref. This allows us to support GetAtt-like
# syntax and retain other attributes. Ex: ${LogicalId.Property.Arn} => ${SomeOtherLogicalId.Arn}
replacement = self._resource_ref_separator.join([logical_id, property])
return full_ref.replace(replacement, resolved_value)
return self._handle_sub_action(input_dict, do_replacement)
|
python
|
def resolve_resource_refs(self, input_dict, supported_resource_refs):
"""
Resolves reference to some property of a resource. Inside string to be substituted, there could be either a
"Ref" or a "GetAtt" usage of this property. They have to be handled differently.
Ref usages are directly converted to a Ref on the resolved value. GetAtt usages are split under the assumption
that there can be only one property of resource referenced here. Everything else is an attribute reference.
Example:
Let's say `LogicalId.Property` will be resolved to `ResolvedValue`
Ref usage:
${LogicalId.Property} => ${ResolvedValue}
GetAtt usage:
${LogicalId.Property.Arn} => ${ResolvedValue.Arn}
${LogicalId.Property.Attr1.Attr2} => {ResolvedValue.Attr1.Attr2}
:param input_dict: Dictionary to be resolved
:param samtranslator.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return: Resolved dictionary
"""
def do_replacement(full_ref, ref_value):
"""
Perform the appropriate replacement to handle ${LogicalId.Property} type references inside a Sub.
This method is called to get the replacement string for each reference within Sub's value
:param full_ref: Entire reference string such as "${LogicalId.Property}"
:param ref_value: Just the value of the reference such as "LogicalId.Property"
:return: Resolved reference of the structure "${SomeOtherLogicalId}". Result should always include the
${} structure since we are not resolving to final value, but just converting one reference to another
"""
# Split the value by separator, expecting to separate out LogicalId.Property
splits = ref_value.split(self._resource_ref_separator)
# If we don't find at least two parts, there is nothing to resolve
if len(splits) < 2:
return full_ref
logical_id = splits[0]
property = splits[1]
resolved_value = supported_resource_refs.get(logical_id, property)
if not resolved_value:
# This ID/property combination is not in the supported references
return full_ref
# We found a LogicalId.Property combination that can be resolved. Construct the output by replacing
# the part of the reference string and not constructing a new ref. This allows us to support GetAtt-like
# syntax and retain other attributes. Ex: ${LogicalId.Property.Arn} => ${SomeOtherLogicalId.Arn}
replacement = self._resource_ref_separator.join([logical_id, property])
return full_ref.replace(replacement, resolved_value)
return self._handle_sub_action(input_dict, do_replacement)
|
[
"def",
"resolve_resource_refs",
"(",
"self",
",",
"input_dict",
",",
"supported_resource_refs",
")",
":",
"def",
"do_replacement",
"(",
"full_ref",
",",
"ref_value",
")",
":",
"\"\"\"\n Perform the appropriate replacement to handle ${LogicalId.Property} type references inside a Sub.\n This method is called to get the replacement string for each reference within Sub's value\n\n :param full_ref: Entire reference string such as \"${LogicalId.Property}\"\n :param ref_value: Just the value of the reference such as \"LogicalId.Property\"\n :return: Resolved reference of the structure \"${SomeOtherLogicalId}\". Result should always include the\n ${} structure since we are not resolving to final value, but just converting one reference to another\n \"\"\"",
"# Split the value by separator, expecting to separate out LogicalId.Property",
"splits",
"=",
"ref_value",
".",
"split",
"(",
"self",
".",
"_resource_ref_separator",
")",
"# If we don't find at least two parts, there is nothing to resolve",
"if",
"len",
"(",
"splits",
")",
"<",
"2",
":",
"return",
"full_ref",
"logical_id",
"=",
"splits",
"[",
"0",
"]",
"property",
"=",
"splits",
"[",
"1",
"]",
"resolved_value",
"=",
"supported_resource_refs",
".",
"get",
"(",
"logical_id",
",",
"property",
")",
"if",
"not",
"resolved_value",
":",
"# This ID/property combination is not in the supported references",
"return",
"full_ref",
"# We found a LogicalId.Property combination that can be resolved. Construct the output by replacing",
"# the part of the reference string and not constructing a new ref. This allows us to support GetAtt-like",
"# syntax and retain other attributes. Ex: ${LogicalId.Property.Arn} => ${SomeOtherLogicalId.Arn}",
"replacement",
"=",
"self",
".",
"_resource_ref_separator",
".",
"join",
"(",
"[",
"logical_id",
",",
"property",
"]",
")",
"return",
"full_ref",
".",
"replace",
"(",
"replacement",
",",
"resolved_value",
")",
"return",
"self",
".",
"_handle_sub_action",
"(",
"input_dict",
",",
"do_replacement",
")"
] |
Resolves reference to some property of a resource. Inside string to be substituted, there could be either a
"Ref" or a "GetAtt" usage of this property. They have to be handled differently.
Ref usages are directly converted to a Ref on the resolved value. GetAtt usages are split under the assumption
that there can be only one property of resource referenced here. Everything else is an attribute reference.
Example:
Let's say `LogicalId.Property` will be resolved to `ResolvedValue`
Ref usage:
${LogicalId.Property} => ${ResolvedValue}
GetAtt usage:
${LogicalId.Property.Arn} => ${ResolvedValue.Arn}
${LogicalId.Property.Attr1.Attr2} => {ResolvedValue.Attr1.Attr2}
:param input_dict: Dictionary to be resolved
:param samtranslator.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return: Resolved dictionary
|
[
"Resolves",
"reference",
"to",
"some",
"property",
"of",
"a",
"resource",
".",
"Inside",
"string",
"to",
"be",
"substituted",
"there",
"could",
"be",
"either",
"a",
"Ref",
"or",
"a",
"GetAtt",
"usage",
"of",
"this",
"property",
".",
"They",
"have",
"to",
"be",
"handled",
"differently",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L196-L253
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
SubAction.resolve_resource_id_refs
|
def resolve_resource_id_refs(self, input_dict, supported_resource_id_refs):
"""
Resolves reference to some property of a resource. Inside string to be substituted, there could be either a
"Ref" or a "GetAtt" usage of this property. They have to be handled differently.
Ref usages are directly converted to a Ref on the resolved value. GetAtt usages are split under the assumption
that there can be only one property of resource referenced here. Everything else is an attribute reference.
Example:
Let's say `LogicalId` will be resolved to `NewLogicalId`
Ref usage:
${LogicalId} => ${NewLogicalId}
GetAtt usage:
${LogicalId.Arn} => ${NewLogicalId.Arn}
${LogicalId.Attr1.Attr2} => {NewLogicalId.Attr1.Attr2}
:param input_dict: Dictionary to be resolved
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Resolved dictionary
"""
def do_replacement(full_ref, ref_value):
"""
Perform the appropriate replacement to handle ${LogicalId} type references inside a Sub.
This method is called to get the replacement string for each reference within Sub's value
:param full_ref: Entire reference string such as "${LogicalId.Property}"
:param ref_value: Just the value of the reference such as "LogicalId.Property"
:return: Resolved reference of the structure "${SomeOtherLogicalId}". Result should always include the
${} structure since we are not resolving to final value, but just converting one reference to another
"""
# Split the value by separator, expecting to separate out LogicalId
splits = ref_value.split(self._resource_ref_separator)
# If we don't find at least one part, there is nothing to resolve
if len(splits) < 1:
return full_ref
logical_id = splits[0]
resolved_value = supported_resource_id_refs.get(logical_id)
if not resolved_value:
# This ID/property combination is not in the supported references
return full_ref
# We found a LogicalId.Property combination that can be resolved. Construct the output by replacing
# the part of the reference string and not constructing a new ref. This allows us to support GetAtt-like
# syntax and retain other attributes. Ex: ${LogicalId.Property.Arn} => ${SomeOtherLogicalId.Arn}
return full_ref.replace(logical_id, resolved_value)
return self._handle_sub_action(input_dict, do_replacement)
|
python
|
def resolve_resource_id_refs(self, input_dict, supported_resource_id_refs):
"""
Resolves reference to some property of a resource. Inside string to be substituted, there could be either a
"Ref" or a "GetAtt" usage of this property. They have to be handled differently.
Ref usages are directly converted to a Ref on the resolved value. GetAtt usages are split under the assumption
that there can be only one property of resource referenced here. Everything else is an attribute reference.
Example:
Let's say `LogicalId` will be resolved to `NewLogicalId`
Ref usage:
${LogicalId} => ${NewLogicalId}
GetAtt usage:
${LogicalId.Arn} => ${NewLogicalId.Arn}
${LogicalId.Attr1.Attr2} => {NewLogicalId.Attr1.Attr2}
:param input_dict: Dictionary to be resolved
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Resolved dictionary
"""
def do_replacement(full_ref, ref_value):
"""
Perform the appropriate replacement to handle ${LogicalId} type references inside a Sub.
This method is called to get the replacement string for each reference within Sub's value
:param full_ref: Entire reference string such as "${LogicalId.Property}"
:param ref_value: Just the value of the reference such as "LogicalId.Property"
:return: Resolved reference of the structure "${SomeOtherLogicalId}". Result should always include the
${} structure since we are not resolving to final value, but just converting one reference to another
"""
# Split the value by separator, expecting to separate out LogicalId
splits = ref_value.split(self._resource_ref_separator)
# If we don't find at least one part, there is nothing to resolve
if len(splits) < 1:
return full_ref
logical_id = splits[0]
resolved_value = supported_resource_id_refs.get(logical_id)
if not resolved_value:
# This ID/property combination is not in the supported references
return full_ref
# We found a LogicalId.Property combination that can be resolved. Construct the output by replacing
# the part of the reference string and not constructing a new ref. This allows us to support GetAtt-like
# syntax and retain other attributes. Ex: ${LogicalId.Property.Arn} => ${SomeOtherLogicalId.Arn}
return full_ref.replace(logical_id, resolved_value)
return self._handle_sub_action(input_dict, do_replacement)
|
[
"def",
"resolve_resource_id_refs",
"(",
"self",
",",
"input_dict",
",",
"supported_resource_id_refs",
")",
":",
"def",
"do_replacement",
"(",
"full_ref",
",",
"ref_value",
")",
":",
"\"\"\"\n Perform the appropriate replacement to handle ${LogicalId} type references inside a Sub.\n This method is called to get the replacement string for each reference within Sub's value\n\n :param full_ref: Entire reference string such as \"${LogicalId.Property}\"\n :param ref_value: Just the value of the reference such as \"LogicalId.Property\"\n :return: Resolved reference of the structure \"${SomeOtherLogicalId}\". Result should always include the\n ${} structure since we are not resolving to final value, but just converting one reference to another\n \"\"\"",
"# Split the value by separator, expecting to separate out LogicalId",
"splits",
"=",
"ref_value",
".",
"split",
"(",
"self",
".",
"_resource_ref_separator",
")",
"# If we don't find at least one part, there is nothing to resolve",
"if",
"len",
"(",
"splits",
")",
"<",
"1",
":",
"return",
"full_ref",
"logical_id",
"=",
"splits",
"[",
"0",
"]",
"resolved_value",
"=",
"supported_resource_id_refs",
".",
"get",
"(",
"logical_id",
")",
"if",
"not",
"resolved_value",
":",
"# This ID/property combination is not in the supported references",
"return",
"full_ref",
"# We found a LogicalId.Property combination that can be resolved. Construct the output by replacing",
"# the part of the reference string and not constructing a new ref. This allows us to support GetAtt-like",
"# syntax and retain other attributes. Ex: ${LogicalId.Property.Arn} => ${SomeOtherLogicalId.Arn}",
"return",
"full_ref",
".",
"replace",
"(",
"logical_id",
",",
"resolved_value",
")",
"return",
"self",
".",
"_handle_sub_action",
"(",
"input_dict",
",",
"do_replacement",
")"
] |
Resolves reference to some property of a resource. Inside string to be substituted, there could be either a
"Ref" or a "GetAtt" usage of this property. They have to be handled differently.
Ref usages are directly converted to a Ref on the resolved value. GetAtt usages are split under the assumption
that there can be only one property of resource referenced here. Everything else is an attribute reference.
Example:
Let's say `LogicalId` will be resolved to `NewLogicalId`
Ref usage:
${LogicalId} => ${NewLogicalId}
GetAtt usage:
${LogicalId.Arn} => ${NewLogicalId.Arn}
${LogicalId.Attr1.Attr2} => {NewLogicalId.Attr1.Attr2}
:param input_dict: Dictionary to be resolved
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Resolved dictionary
|
[
"Resolves",
"reference",
"to",
"some",
"property",
"of",
"a",
"resource",
".",
"Inside",
"string",
"to",
"be",
"substituted",
"there",
"could",
"be",
"either",
"a",
"Ref",
"or",
"a",
"GetAtt",
"usage",
"of",
"this",
"property",
".",
"They",
"have",
"to",
"be",
"handled",
"differently",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L255-L309
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
SubAction._handle_sub_action
|
def _handle_sub_action(self, input_dict, handler):
"""
Handles resolving replacements in the Sub action based on the handler that is passed as an input.
:param input_dict: Dictionary to be resolved
:param supported_values: One of several different objects that contain the supported values that
need to be changed. See each method above for specifics on these objects.
:param handler: handler that is specific to each implementation.
:return: Resolved value of the Sub dictionary
"""
if not self.can_handle(input_dict):
return input_dict
key = self.intrinsic_name
sub_value = input_dict[key]
input_dict[key] = self._handle_sub_value(sub_value, handler)
return input_dict
|
python
|
def _handle_sub_action(self, input_dict, handler):
"""
Handles resolving replacements in the Sub action based on the handler that is passed as an input.
:param input_dict: Dictionary to be resolved
:param supported_values: One of several different objects that contain the supported values that
need to be changed. See each method above for specifics on these objects.
:param handler: handler that is specific to each implementation.
:return: Resolved value of the Sub dictionary
"""
if not self.can_handle(input_dict):
return input_dict
key = self.intrinsic_name
sub_value = input_dict[key]
input_dict[key] = self._handle_sub_value(sub_value, handler)
return input_dict
|
[
"def",
"_handle_sub_action",
"(",
"self",
",",
"input_dict",
",",
"handler",
")",
":",
"if",
"not",
"self",
".",
"can_handle",
"(",
"input_dict",
")",
":",
"return",
"input_dict",
"key",
"=",
"self",
".",
"intrinsic_name",
"sub_value",
"=",
"input_dict",
"[",
"key",
"]",
"input_dict",
"[",
"key",
"]",
"=",
"self",
".",
"_handle_sub_value",
"(",
"sub_value",
",",
"handler",
")",
"return",
"input_dict"
] |
Handles resolving replacements in the Sub action based on the handler that is passed as an input.
:param input_dict: Dictionary to be resolved
:param supported_values: One of several different objects that contain the supported values that
need to be changed. See each method above for specifics on these objects.
:param handler: handler that is specific to each implementation.
:return: Resolved value of the Sub dictionary
|
[
"Handles",
"resolving",
"replacements",
"in",
"the",
"Sub",
"action",
"based",
"on",
"the",
"handler",
"that",
"is",
"passed",
"as",
"an",
"input",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L311-L329
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
SubAction._handle_sub_value
|
def _handle_sub_value(self, sub_value, handler_method):
"""
Generic method to handle value to Fn::Sub key. We are interested in parsing the ${} syntaxes inside
the string portion of the value.
:param sub_value: Value of the Sub function
:param handler_method: Method to be called on every occurrence of `${LogicalId}` structure within the string.
Implementation could resolve and replace this structure with whatever they seem fit
:return: Resolved value of the Sub dictionary
"""
# Just handle known references within the string to be substituted and return the whole dictionary
# because that's the best we can do here.
if isinstance(sub_value, string_types):
# Ex: {Fn::Sub: "some string"}
sub_value = self._sub_all_refs(sub_value, handler_method)
elif isinstance(sub_value, list) and len(sub_value) > 0 and isinstance(sub_value[0], string_types):
# Ex: {Fn::Sub: ["some string", {a:b}] }
sub_value[0] = self._sub_all_refs(sub_value[0], handler_method)
return sub_value
|
python
|
def _handle_sub_value(self, sub_value, handler_method):
"""
Generic method to handle value to Fn::Sub key. We are interested in parsing the ${} syntaxes inside
the string portion of the value.
:param sub_value: Value of the Sub function
:param handler_method: Method to be called on every occurrence of `${LogicalId}` structure within the string.
Implementation could resolve and replace this structure with whatever they seem fit
:return: Resolved value of the Sub dictionary
"""
# Just handle known references within the string to be substituted and return the whole dictionary
# because that's the best we can do here.
if isinstance(sub_value, string_types):
# Ex: {Fn::Sub: "some string"}
sub_value = self._sub_all_refs(sub_value, handler_method)
elif isinstance(sub_value, list) and len(sub_value) > 0 and isinstance(sub_value[0], string_types):
# Ex: {Fn::Sub: ["some string", {a:b}] }
sub_value[0] = self._sub_all_refs(sub_value[0], handler_method)
return sub_value
|
[
"def",
"_handle_sub_value",
"(",
"self",
",",
"sub_value",
",",
"handler_method",
")",
":",
"# Just handle known references within the string to be substituted and return the whole dictionary",
"# because that's the best we can do here.",
"if",
"isinstance",
"(",
"sub_value",
",",
"string_types",
")",
":",
"# Ex: {Fn::Sub: \"some string\"}",
"sub_value",
"=",
"self",
".",
"_sub_all_refs",
"(",
"sub_value",
",",
"handler_method",
")",
"elif",
"isinstance",
"(",
"sub_value",
",",
"list",
")",
"and",
"len",
"(",
"sub_value",
")",
">",
"0",
"and",
"isinstance",
"(",
"sub_value",
"[",
"0",
"]",
",",
"string_types",
")",
":",
"# Ex: {Fn::Sub: [\"some string\", {a:b}] }",
"sub_value",
"[",
"0",
"]",
"=",
"self",
".",
"_sub_all_refs",
"(",
"sub_value",
"[",
"0",
"]",
",",
"handler_method",
")",
"return",
"sub_value"
] |
Generic method to handle value to Fn::Sub key. We are interested in parsing the ${} syntaxes inside
the string portion of the value.
:param sub_value: Value of the Sub function
:param handler_method: Method to be called on every occurrence of `${LogicalId}` structure within the string.
Implementation could resolve and replace this structure with whatever they seem fit
:return: Resolved value of the Sub dictionary
|
[
"Generic",
"method",
"to",
"handle",
"value",
"to",
"Fn",
"::",
"Sub",
"key",
".",
"We",
"are",
"interested",
"in",
"parsing",
"the",
"$",
"{}",
"syntaxes",
"inside",
"the",
"string",
"portion",
"of",
"the",
"value",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L331-L352
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
SubAction._sub_all_refs
|
def _sub_all_refs(self, text, handler_method):
"""
Substitute references within a string that is using ${key} syntax by calling the `handler_method` on every
occurrence of this structure. The value returned by this method directly replaces the reference structure.
Ex:
text = "${key1}-hello-${key2}
def handler_method(full_ref, ref_value):
return "foo"
_sub_all_refs(text, handler_method) will output "foo-hello-foo"
:param string text: Input text
:param handler_method: Method to be called to handle each occurrence of ${blah} reference structure.
First parameter to this method is the full reference structure Ex: ${LogicalId.Property}.
Second parameter is just the value of the reference such as "LogicalId.Property"
:return string: Text with all reference structures replaced as necessary
"""
# RegExp to find pattern "${logicalId.property}" and return the word inside bracket
logical_id_regex = '[A-Za-z0-9\.]+|AWS::[A-Z][A-Za-z]*'
ref_pattern = re.compile(r'\$\{(' + logical_id_regex + ')\}')
# Find all the pattern, and call the handler to decide how to substitute them.
# Do the substitution and return the final text
return re.sub(ref_pattern,
# Pass the handler entire string ${logicalId.property} as first parameter and "logicalId.property"
# as second parameter. Return value will be substituted
lambda match: handler_method(match.group(0), match.group(1)),
text)
|
python
|
def _sub_all_refs(self, text, handler_method):
"""
Substitute references within a string that is using ${key} syntax by calling the `handler_method` on every
occurrence of this structure. The value returned by this method directly replaces the reference structure.
Ex:
text = "${key1}-hello-${key2}
def handler_method(full_ref, ref_value):
return "foo"
_sub_all_refs(text, handler_method) will output "foo-hello-foo"
:param string text: Input text
:param handler_method: Method to be called to handle each occurrence of ${blah} reference structure.
First parameter to this method is the full reference structure Ex: ${LogicalId.Property}.
Second parameter is just the value of the reference such as "LogicalId.Property"
:return string: Text with all reference structures replaced as necessary
"""
# RegExp to find pattern "${logicalId.property}" and return the word inside bracket
logical_id_regex = '[A-Za-z0-9\.]+|AWS::[A-Z][A-Za-z]*'
ref_pattern = re.compile(r'\$\{(' + logical_id_regex + ')\}')
# Find all the pattern, and call the handler to decide how to substitute them.
# Do the substitution and return the final text
return re.sub(ref_pattern,
# Pass the handler entire string ${logicalId.property} as first parameter and "logicalId.property"
# as second parameter. Return value will be substituted
lambda match: handler_method(match.group(0), match.group(1)),
text)
|
[
"def",
"_sub_all_refs",
"(",
"self",
",",
"text",
",",
"handler_method",
")",
":",
"# RegExp to find pattern \"${logicalId.property}\" and return the word inside bracket",
"logical_id_regex",
"=",
"'[A-Za-z0-9\\.]+|AWS::[A-Z][A-Za-z]*'",
"ref_pattern",
"=",
"re",
".",
"compile",
"(",
"r'\\$\\{('",
"+",
"logical_id_regex",
"+",
"')\\}'",
")",
"# Find all the pattern, and call the handler to decide how to substitute them.",
"# Do the substitution and return the final text",
"return",
"re",
".",
"sub",
"(",
"ref_pattern",
",",
"# Pass the handler entire string ${logicalId.property} as first parameter and \"logicalId.property\"",
"# as second parameter. Return value will be substituted",
"lambda",
"match",
":",
"handler_method",
"(",
"match",
".",
"group",
"(",
"0",
")",
",",
"match",
".",
"group",
"(",
"1",
")",
")",
",",
"text",
")"
] |
Substitute references within a string that is using ${key} syntax by calling the `handler_method` on every
occurrence of this structure. The value returned by this method directly replaces the reference structure.
Ex:
text = "${key1}-hello-${key2}
def handler_method(full_ref, ref_value):
return "foo"
_sub_all_refs(text, handler_method) will output "foo-hello-foo"
:param string text: Input text
:param handler_method: Method to be called to handle each occurrence of ${blah} reference structure.
First parameter to this method is the full reference structure Ex: ${LogicalId.Property}.
Second parameter is just the value of the reference such as "LogicalId.Property"
:return string: Text with all reference structures replaced as necessary
|
[
"Substitute",
"references",
"within",
"a",
"string",
"that",
"is",
"using",
"$",
"{",
"key",
"}",
"syntax",
"by",
"calling",
"the",
"handler_method",
"on",
"every",
"occurrence",
"of",
"this",
"structure",
".",
"The",
"value",
"returned",
"by",
"this",
"method",
"directly",
"replaces",
"the",
"reference",
"structure",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L354-L384
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
GetAttAction.resolve_resource_refs
|
def resolve_resource_refs(self, input_dict, supported_resource_refs):
"""
Resolve resource references within a GetAtt dict.
Example:
{ "Fn::GetAtt": ["LogicalId.Property", "Arn"] } => {"Fn::GetAtt": ["ResolvedLogicalId", "Arn"]}
Theoretically, only the first element of the array can contain reference to SAM resources. The second element
is name of an attribute (like Arn) of the resource.
However tools like AWS CLI apply the assumption that first element of the array is a LogicalId and cannot
contain a 'dot'. So they break at the first dot to convert YAML tag to JSON map like this:
`!GetAtt LogicalId.Property.Arn` => {"Fn::GetAtt": [ "LogicalId", "Property.Arn" ] }
Therefore to resolve the reference, we join the array into a string, break it back up to check if it contains
a known reference, and resolve it if we can.
:param input_dict: Dictionary to be resolved
:param samtransaltor.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return: Resolved dictionary
"""
if not self.can_handle(input_dict):
return input_dict
key = self.intrinsic_name
value = input_dict[key]
# Value must be an array with *at least* two elements. If not, this is invalid GetAtt syntax. We just pass along
# the input to CFN for it to do the "official" validation.
if not isinstance(value, list) or len(value) < 2:
return input_dict
if (not all(isinstance(entry, string_types) for entry in value)):
raise InvalidDocumentException(
[InvalidTemplateException('Invalid GetAtt value {}. GetAtt expects an array with 2 strings.'
.format(value))])
# Value of GetAtt is an array. It can contain any number of elements, with first being the LogicalId of
# resource and rest being the attributes. In a SAM template, a reference to a resource can be used in the
# first parameter. However tools like AWS CLI might break them down as well. So let's just concatenate
# all elements, and break them into separate parts in a more standard way.
#
# Example:
# { Fn::GetAtt: ["LogicalId.Property", "Arn"] } is equivalent to { Fn::GetAtt: ["LogicalId", "Property.Arn"] }
# Former is the correct notation. However tools like AWS CLI can construct the later style.
# Let's normalize the value into "LogicalId.Property.Arn" to handle both scenarios
value_str = self._resource_ref_separator.join(value)
splits = value_str.split(self._resource_ref_separator)
logical_id = splits[0]
property = splits[1]
remaining = splits[2:] # if any
resolved_value = supported_resource_refs.get(logical_id, property)
return self._get_resolved_dictionary(input_dict, key, resolved_value, remaining)
|
python
|
def resolve_resource_refs(self, input_dict, supported_resource_refs):
"""
Resolve resource references within a GetAtt dict.
Example:
{ "Fn::GetAtt": ["LogicalId.Property", "Arn"] } => {"Fn::GetAtt": ["ResolvedLogicalId", "Arn"]}
Theoretically, only the first element of the array can contain reference to SAM resources. The second element
is name of an attribute (like Arn) of the resource.
However tools like AWS CLI apply the assumption that first element of the array is a LogicalId and cannot
contain a 'dot'. So they break at the first dot to convert YAML tag to JSON map like this:
`!GetAtt LogicalId.Property.Arn` => {"Fn::GetAtt": [ "LogicalId", "Property.Arn" ] }
Therefore to resolve the reference, we join the array into a string, break it back up to check if it contains
a known reference, and resolve it if we can.
:param input_dict: Dictionary to be resolved
:param samtransaltor.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return: Resolved dictionary
"""
if not self.can_handle(input_dict):
return input_dict
key = self.intrinsic_name
value = input_dict[key]
# Value must be an array with *at least* two elements. If not, this is invalid GetAtt syntax. We just pass along
# the input to CFN for it to do the "official" validation.
if not isinstance(value, list) or len(value) < 2:
return input_dict
if (not all(isinstance(entry, string_types) for entry in value)):
raise InvalidDocumentException(
[InvalidTemplateException('Invalid GetAtt value {}. GetAtt expects an array with 2 strings.'
.format(value))])
# Value of GetAtt is an array. It can contain any number of elements, with first being the LogicalId of
# resource and rest being the attributes. In a SAM template, a reference to a resource can be used in the
# first parameter. However tools like AWS CLI might break them down as well. So let's just concatenate
# all elements, and break them into separate parts in a more standard way.
#
# Example:
# { Fn::GetAtt: ["LogicalId.Property", "Arn"] } is equivalent to { Fn::GetAtt: ["LogicalId", "Property.Arn"] }
# Former is the correct notation. However tools like AWS CLI can construct the later style.
# Let's normalize the value into "LogicalId.Property.Arn" to handle both scenarios
value_str = self._resource_ref_separator.join(value)
splits = value_str.split(self._resource_ref_separator)
logical_id = splits[0]
property = splits[1]
remaining = splits[2:] # if any
resolved_value = supported_resource_refs.get(logical_id, property)
return self._get_resolved_dictionary(input_dict, key, resolved_value, remaining)
|
[
"def",
"resolve_resource_refs",
"(",
"self",
",",
"input_dict",
",",
"supported_resource_refs",
")",
":",
"if",
"not",
"self",
".",
"can_handle",
"(",
"input_dict",
")",
":",
"return",
"input_dict",
"key",
"=",
"self",
".",
"intrinsic_name",
"value",
"=",
"input_dict",
"[",
"key",
"]",
"# Value must be an array with *at least* two elements. If not, this is invalid GetAtt syntax. We just pass along",
"# the input to CFN for it to do the \"official\" validation.",
"if",
"not",
"isinstance",
"(",
"value",
",",
"list",
")",
"or",
"len",
"(",
"value",
")",
"<",
"2",
":",
"return",
"input_dict",
"if",
"(",
"not",
"all",
"(",
"isinstance",
"(",
"entry",
",",
"string_types",
")",
"for",
"entry",
"in",
"value",
")",
")",
":",
"raise",
"InvalidDocumentException",
"(",
"[",
"InvalidTemplateException",
"(",
"'Invalid GetAtt value {}. GetAtt expects an array with 2 strings.'",
".",
"format",
"(",
"value",
")",
")",
"]",
")",
"# Value of GetAtt is an array. It can contain any number of elements, with first being the LogicalId of",
"# resource and rest being the attributes. In a SAM template, a reference to a resource can be used in the",
"# first parameter. However tools like AWS CLI might break them down as well. So let's just concatenate",
"# all elements, and break them into separate parts in a more standard way.",
"#",
"# Example:",
"# { Fn::GetAtt: [\"LogicalId.Property\", \"Arn\"] } is equivalent to { Fn::GetAtt: [\"LogicalId\", \"Property.Arn\"] }",
"# Former is the correct notation. However tools like AWS CLI can construct the later style.",
"# Let's normalize the value into \"LogicalId.Property.Arn\" to handle both scenarios",
"value_str",
"=",
"self",
".",
"_resource_ref_separator",
".",
"join",
"(",
"value",
")",
"splits",
"=",
"value_str",
".",
"split",
"(",
"self",
".",
"_resource_ref_separator",
")",
"logical_id",
"=",
"splits",
"[",
"0",
"]",
"property",
"=",
"splits",
"[",
"1",
"]",
"remaining",
"=",
"splits",
"[",
"2",
":",
"]",
"# if any",
"resolved_value",
"=",
"supported_resource_refs",
".",
"get",
"(",
"logical_id",
",",
"property",
")",
"return",
"self",
".",
"_get_resolved_dictionary",
"(",
"input_dict",
",",
"key",
",",
"resolved_value",
",",
"remaining",
")"
] |
Resolve resource references within a GetAtt dict.
Example:
{ "Fn::GetAtt": ["LogicalId.Property", "Arn"] } => {"Fn::GetAtt": ["ResolvedLogicalId", "Arn"]}
Theoretically, only the first element of the array can contain reference to SAM resources. The second element
is name of an attribute (like Arn) of the resource.
However tools like AWS CLI apply the assumption that first element of the array is a LogicalId and cannot
contain a 'dot'. So they break at the first dot to convert YAML tag to JSON map like this:
`!GetAtt LogicalId.Property.Arn` => {"Fn::GetAtt": [ "LogicalId", "Property.Arn" ] }
Therefore to resolve the reference, we join the array into a string, break it back up to check if it contains
a known reference, and resolve it if we can.
:param input_dict: Dictionary to be resolved
:param samtransaltor.intrinsics.resource_refs.SupportedResourceReferences supported_resource_refs: Instance of
an `SupportedResourceReferences` object that contain value of the property.
:return: Resolved dictionary
|
[
"Resolve",
"resource",
"references",
"within",
"a",
"GetAtt",
"dict",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L394-L452
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
GetAttAction.resolve_resource_id_refs
|
def resolve_resource_id_refs(self, input_dict, supported_resource_id_refs):
"""
Resolve resource references within a GetAtt dict.
Example:
{ "Fn::GetAtt": ["LogicalId", "Arn"] } => {"Fn::GetAtt": ["ResolvedLogicalId", "Arn"]}
Theoretically, only the first element of the array can contain reference to SAM resources. The second element
is name of an attribute (like Arn) of the resource.
However tools like AWS CLI apply the assumption that first element of the array is a LogicalId and cannot
contain a 'dot'. So they break at the first dot to convert YAML tag to JSON map like this:
`!GetAtt LogicalId.Arn` => {"Fn::GetAtt": [ "LogicalId", "Arn" ] }
Therefore to resolve the reference, we join the array into a string, break it back up to check if it contains
a known reference, and resolve it if we can.
:param input_dict: Dictionary to be resolved
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Resolved dictionary
"""
if not self.can_handle(input_dict):
return input_dict
key = self.intrinsic_name
value = input_dict[key]
# Value must be an array with *at least* two elements. If not, this is invalid GetAtt syntax. We just pass along
# the input to CFN for it to do the "official" validation.
if not isinstance(value, list) or len(value) < 2:
return input_dict
value_str = self._resource_ref_separator.join(value)
splits = value_str.split(self._resource_ref_separator)
logical_id = splits[0]
remaining = splits[1:] # if any
resolved_value = supported_resource_id_refs.get(logical_id)
return self._get_resolved_dictionary(input_dict, key, resolved_value, remaining)
|
python
|
def resolve_resource_id_refs(self, input_dict, supported_resource_id_refs):
"""
Resolve resource references within a GetAtt dict.
Example:
{ "Fn::GetAtt": ["LogicalId", "Arn"] } => {"Fn::GetAtt": ["ResolvedLogicalId", "Arn"]}
Theoretically, only the first element of the array can contain reference to SAM resources. The second element
is name of an attribute (like Arn) of the resource.
However tools like AWS CLI apply the assumption that first element of the array is a LogicalId and cannot
contain a 'dot'. So they break at the first dot to convert YAML tag to JSON map like this:
`!GetAtt LogicalId.Arn` => {"Fn::GetAtt": [ "LogicalId", "Arn" ] }
Therefore to resolve the reference, we join the array into a string, break it back up to check if it contains
a known reference, and resolve it if we can.
:param input_dict: Dictionary to be resolved
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Resolved dictionary
"""
if not self.can_handle(input_dict):
return input_dict
key = self.intrinsic_name
value = input_dict[key]
# Value must be an array with *at least* two elements. If not, this is invalid GetAtt syntax. We just pass along
# the input to CFN for it to do the "official" validation.
if not isinstance(value, list) or len(value) < 2:
return input_dict
value_str = self._resource_ref_separator.join(value)
splits = value_str.split(self._resource_ref_separator)
logical_id = splits[0]
remaining = splits[1:] # if any
resolved_value = supported_resource_id_refs.get(logical_id)
return self._get_resolved_dictionary(input_dict, key, resolved_value, remaining)
|
[
"def",
"resolve_resource_id_refs",
"(",
"self",
",",
"input_dict",
",",
"supported_resource_id_refs",
")",
":",
"if",
"not",
"self",
".",
"can_handle",
"(",
"input_dict",
")",
":",
"return",
"input_dict",
"key",
"=",
"self",
".",
"intrinsic_name",
"value",
"=",
"input_dict",
"[",
"key",
"]",
"# Value must be an array with *at least* two elements. If not, this is invalid GetAtt syntax. We just pass along",
"# the input to CFN for it to do the \"official\" validation.",
"if",
"not",
"isinstance",
"(",
"value",
",",
"list",
")",
"or",
"len",
"(",
"value",
")",
"<",
"2",
":",
"return",
"input_dict",
"value_str",
"=",
"self",
".",
"_resource_ref_separator",
".",
"join",
"(",
"value",
")",
"splits",
"=",
"value_str",
".",
"split",
"(",
"self",
".",
"_resource_ref_separator",
")",
"logical_id",
"=",
"splits",
"[",
"0",
"]",
"remaining",
"=",
"splits",
"[",
"1",
":",
"]",
"# if any",
"resolved_value",
"=",
"supported_resource_id_refs",
".",
"get",
"(",
"logical_id",
")",
"return",
"self",
".",
"_get_resolved_dictionary",
"(",
"input_dict",
",",
"key",
",",
"resolved_value",
",",
"remaining",
")"
] |
Resolve resource references within a GetAtt dict.
Example:
{ "Fn::GetAtt": ["LogicalId", "Arn"] } => {"Fn::GetAtt": ["ResolvedLogicalId", "Arn"]}
Theoretically, only the first element of the array can contain reference to SAM resources. The second element
is name of an attribute (like Arn) of the resource.
However tools like AWS CLI apply the assumption that first element of the array is a LogicalId and cannot
contain a 'dot'. So they break at the first dot to convert YAML tag to JSON map like this:
`!GetAtt LogicalId.Arn` => {"Fn::GetAtt": [ "LogicalId", "Arn" ] }
Therefore to resolve the reference, we join the array into a string, break it back up to check if it contains
a known reference, and resolve it if we can.
:param input_dict: Dictionary to be resolved
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Resolved dictionary
|
[
"Resolve",
"resource",
"references",
"within",
"a",
"GetAtt",
"dict",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L454-L495
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
GetAttAction._get_resolved_dictionary
|
def _get_resolved_dictionary(self, input_dict, key, resolved_value, remaining):
"""
Resolves the function and returns the updated dictionary
:param input_dict: Dictionary to be resolved
:param key: Name of this intrinsic.
:param resolved_value: Resolved or updated value for this action.
:param remaining: Remaining sections for the GetAtt action.
"""
if resolved_value:
# We resolved to a new resource logicalId. Use this as the first element and keep remaining elements intact
# This is the new value of Fn::GetAtt
input_dict[key] = [resolved_value] + remaining
return input_dict
|
python
|
def _get_resolved_dictionary(self, input_dict, key, resolved_value, remaining):
"""
Resolves the function and returns the updated dictionary
:param input_dict: Dictionary to be resolved
:param key: Name of this intrinsic.
:param resolved_value: Resolved or updated value for this action.
:param remaining: Remaining sections for the GetAtt action.
"""
if resolved_value:
# We resolved to a new resource logicalId. Use this as the first element and keep remaining elements intact
# This is the new value of Fn::GetAtt
input_dict[key] = [resolved_value] + remaining
return input_dict
|
[
"def",
"_get_resolved_dictionary",
"(",
"self",
",",
"input_dict",
",",
"key",
",",
"resolved_value",
",",
"remaining",
")",
":",
"if",
"resolved_value",
":",
"# We resolved to a new resource logicalId. Use this as the first element and keep remaining elements intact",
"# This is the new value of Fn::GetAtt",
"input_dict",
"[",
"key",
"]",
"=",
"[",
"resolved_value",
"]",
"+",
"remaining",
"return",
"input_dict"
] |
Resolves the function and returns the updated dictionary
:param input_dict: Dictionary to be resolved
:param key: Name of this intrinsic.
:param resolved_value: Resolved or updated value for this action.
:param remaining: Remaining sections for the GetAtt action.
|
[
"Resolves",
"the",
"function",
"and",
"returns",
"the",
"updated",
"dictionary"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L497-L511
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/actions.py
|
FindInMapAction.resolve_parameter_refs
|
def resolve_parameter_refs(self, input_dict, parameters):
"""
Recursively resolves "Fn::FindInMap"references that are present in the mappings and returns the value.
If it is not in mappings, this method simply returns the input unchanged.
:param input_dict: Dictionary representing the FindInMap function. Must contain only one key and it
should be "Fn::FindInMap".
:param parameters: Dictionary of mappings from the SAM template
"""
if not self.can_handle(input_dict):
return input_dict
value = input_dict[self.intrinsic_name]
# FindInMap expects an array with 3 values
if not isinstance(value, list) or len(value) != 3:
raise InvalidDocumentException(
[InvalidTemplateException('Invalid FindInMap value {}. FindInMap expects an array with 3 values.'
.format(value))])
map_name = self.resolve_parameter_refs(value[0], parameters)
top_level_key = self.resolve_parameter_refs(value[1], parameters)
second_level_key = self.resolve_parameter_refs(value[2], parameters)
if not isinstance(map_name, string_types) or \
not isinstance(top_level_key, string_types) or \
not isinstance(second_level_key, string_types):
return input_dict
if map_name not in parameters or \
top_level_key not in parameters[map_name] or \
second_level_key not in parameters[map_name][top_level_key]:
return input_dict
return parameters[map_name][top_level_key][second_level_key]
|
python
|
def resolve_parameter_refs(self, input_dict, parameters):
"""
Recursively resolves "Fn::FindInMap"references that are present in the mappings and returns the value.
If it is not in mappings, this method simply returns the input unchanged.
:param input_dict: Dictionary representing the FindInMap function. Must contain only one key and it
should be "Fn::FindInMap".
:param parameters: Dictionary of mappings from the SAM template
"""
if not self.can_handle(input_dict):
return input_dict
value = input_dict[self.intrinsic_name]
# FindInMap expects an array with 3 values
if not isinstance(value, list) or len(value) != 3:
raise InvalidDocumentException(
[InvalidTemplateException('Invalid FindInMap value {}. FindInMap expects an array with 3 values.'
.format(value))])
map_name = self.resolve_parameter_refs(value[0], parameters)
top_level_key = self.resolve_parameter_refs(value[1], parameters)
second_level_key = self.resolve_parameter_refs(value[2], parameters)
if not isinstance(map_name, string_types) or \
not isinstance(top_level_key, string_types) or \
not isinstance(second_level_key, string_types):
return input_dict
if map_name not in parameters or \
top_level_key not in parameters[map_name] or \
second_level_key not in parameters[map_name][top_level_key]:
return input_dict
return parameters[map_name][top_level_key][second_level_key]
|
[
"def",
"resolve_parameter_refs",
"(",
"self",
",",
"input_dict",
",",
"parameters",
")",
":",
"if",
"not",
"self",
".",
"can_handle",
"(",
"input_dict",
")",
":",
"return",
"input_dict",
"value",
"=",
"input_dict",
"[",
"self",
".",
"intrinsic_name",
"]",
"# FindInMap expects an array with 3 values",
"if",
"not",
"isinstance",
"(",
"value",
",",
"list",
")",
"or",
"len",
"(",
"value",
")",
"!=",
"3",
":",
"raise",
"InvalidDocumentException",
"(",
"[",
"InvalidTemplateException",
"(",
"'Invalid FindInMap value {}. FindInMap expects an array with 3 values.'",
".",
"format",
"(",
"value",
")",
")",
"]",
")",
"map_name",
"=",
"self",
".",
"resolve_parameter_refs",
"(",
"value",
"[",
"0",
"]",
",",
"parameters",
")",
"top_level_key",
"=",
"self",
".",
"resolve_parameter_refs",
"(",
"value",
"[",
"1",
"]",
",",
"parameters",
")",
"second_level_key",
"=",
"self",
".",
"resolve_parameter_refs",
"(",
"value",
"[",
"2",
"]",
",",
"parameters",
")",
"if",
"not",
"isinstance",
"(",
"map_name",
",",
"string_types",
")",
"or",
"not",
"isinstance",
"(",
"top_level_key",
",",
"string_types",
")",
"or",
"not",
"isinstance",
"(",
"second_level_key",
",",
"string_types",
")",
":",
"return",
"input_dict",
"if",
"map_name",
"not",
"in",
"parameters",
"or",
"top_level_key",
"not",
"in",
"parameters",
"[",
"map_name",
"]",
"or",
"second_level_key",
"not",
"in",
"parameters",
"[",
"map_name",
"]",
"[",
"top_level_key",
"]",
":",
"return",
"input_dict",
"return",
"parameters",
"[",
"map_name",
"]",
"[",
"top_level_key",
"]",
"[",
"second_level_key",
"]"
] |
Recursively resolves "Fn::FindInMap"references that are present in the mappings and returns the value.
If it is not in mappings, this method simply returns the input unchanged.
:param input_dict: Dictionary representing the FindInMap function. Must contain only one key and it
should be "Fn::FindInMap".
:param parameters: Dictionary of mappings from the SAM template
|
[
"Recursively",
"resolves",
"Fn",
"::",
"FindInMap",
"references",
"that",
"are",
"present",
"in",
"the",
"mappings",
"and",
"returns",
"the",
"value",
".",
"If",
"it",
"is",
"not",
"in",
"mappings",
"this",
"method",
"simply",
"returns",
"the",
"input",
"unchanged",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/actions.py#L520-L555
|
train
|
awslabs/serverless-application-model
|
examples/apps/datadog-process-rds-metrics/lambda_function.py
|
lambda_handler
|
def lambda_handler(event, context):
''' Process a RDS enhenced monitoring DATA_MESSAGE,
coming from CLOUDWATCH LOGS
'''
# event is a dict containing a base64 string gzipped
event = json.loads(gzip.GzipFile(fileobj=StringIO(event['awslogs']['data'].decode('base64'))).read())
account = event['owner']
region = context.invoked_function_arn.split(':', 4)[3]
log_events = event['logEvents']
for log_event in log_events:
message = json.loads(log_event['message'])
ts = log_event['timestamp'] / 1000
_process_rds_enhanced_monitoring_message(ts, message, account, region)
stats.flush()
return {'Status': 'OK'}
|
python
|
def lambda_handler(event, context):
''' Process a RDS enhenced monitoring DATA_MESSAGE,
coming from CLOUDWATCH LOGS
'''
# event is a dict containing a base64 string gzipped
event = json.loads(gzip.GzipFile(fileobj=StringIO(event['awslogs']['data'].decode('base64'))).read())
account = event['owner']
region = context.invoked_function_arn.split(':', 4)[3]
log_events = event['logEvents']
for log_event in log_events:
message = json.loads(log_event['message'])
ts = log_event['timestamp'] / 1000
_process_rds_enhanced_monitoring_message(ts, message, account, region)
stats.flush()
return {'Status': 'OK'}
|
[
"def",
"lambda_handler",
"(",
"event",
",",
"context",
")",
":",
"# event is a dict containing a base64 string gzipped",
"event",
"=",
"json",
".",
"loads",
"(",
"gzip",
".",
"GzipFile",
"(",
"fileobj",
"=",
"StringIO",
"(",
"event",
"[",
"'awslogs'",
"]",
"[",
"'data'",
"]",
".",
"decode",
"(",
"'base64'",
")",
")",
")",
".",
"read",
"(",
")",
")",
"account",
"=",
"event",
"[",
"'owner'",
"]",
"region",
"=",
"context",
".",
"invoked_function_arn",
".",
"split",
"(",
"':'",
",",
"4",
")",
"[",
"3",
"]",
"log_events",
"=",
"event",
"[",
"'logEvents'",
"]",
"for",
"log_event",
"in",
"log_events",
":",
"message",
"=",
"json",
".",
"loads",
"(",
"log_event",
"[",
"'message'",
"]",
")",
"ts",
"=",
"log_event",
"[",
"'timestamp'",
"]",
"/",
"1000",
"_process_rds_enhanced_monitoring_message",
"(",
"ts",
",",
"message",
",",
"account",
",",
"region",
")",
"stats",
".",
"flush",
"(",
")",
"return",
"{",
"'Status'",
":",
"'OK'",
"}"
] |
Process a RDS enhenced monitoring DATA_MESSAGE,
coming from CLOUDWATCH LOGS
|
[
"Process",
"a",
"RDS",
"enhenced",
"monitoring",
"DATA_MESSAGE",
"coming",
"from",
"CLOUDWATCH",
"LOGS"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/examples/apps/datadog-process-rds-metrics/lambda_function.py#L104-L122
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._construct_rest_api
|
def _construct_rest_api(self):
"""Constructs and returns the ApiGateway RestApi.
:returns: the RestApi to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayRestApi
"""
rest_api = ApiGatewayRestApi(self.logical_id, depends_on=self.depends_on, attributes=self.resource_attributes)
rest_api.BinaryMediaTypes = self.binary_media
rest_api.MinimumCompressionSize = self.minimum_compression_size
if self.endpoint_configuration:
self._set_endpoint_configuration(rest_api, self.endpoint_configuration)
elif not RegionConfiguration.is_apigw_edge_configuration_supported():
# Since this region does not support EDGE configuration, we explicitly set the endpoint type
# to Regional which is the only supported config.
self._set_endpoint_configuration(rest_api, "REGIONAL")
if self.definition_uri and self.definition_body:
raise InvalidResourceException(self.logical_id,
"Specify either 'DefinitionUri' or 'DefinitionBody' property and not both")
self._add_cors()
self._add_auth()
self._add_gateway_responses()
if self.definition_uri:
rest_api.BodyS3Location = self._construct_body_s3_dict()
elif self.definition_body:
rest_api.Body = self.definition_body
if self.name:
rest_api.Name = self.name
return rest_api
|
python
|
def _construct_rest_api(self):
"""Constructs and returns the ApiGateway RestApi.
:returns: the RestApi to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayRestApi
"""
rest_api = ApiGatewayRestApi(self.logical_id, depends_on=self.depends_on, attributes=self.resource_attributes)
rest_api.BinaryMediaTypes = self.binary_media
rest_api.MinimumCompressionSize = self.minimum_compression_size
if self.endpoint_configuration:
self._set_endpoint_configuration(rest_api, self.endpoint_configuration)
elif not RegionConfiguration.is_apigw_edge_configuration_supported():
# Since this region does not support EDGE configuration, we explicitly set the endpoint type
# to Regional which is the only supported config.
self._set_endpoint_configuration(rest_api, "REGIONAL")
if self.definition_uri and self.definition_body:
raise InvalidResourceException(self.logical_id,
"Specify either 'DefinitionUri' or 'DefinitionBody' property and not both")
self._add_cors()
self._add_auth()
self._add_gateway_responses()
if self.definition_uri:
rest_api.BodyS3Location = self._construct_body_s3_dict()
elif self.definition_body:
rest_api.Body = self.definition_body
if self.name:
rest_api.Name = self.name
return rest_api
|
[
"def",
"_construct_rest_api",
"(",
"self",
")",
":",
"rest_api",
"=",
"ApiGatewayRestApi",
"(",
"self",
".",
"logical_id",
",",
"depends_on",
"=",
"self",
".",
"depends_on",
",",
"attributes",
"=",
"self",
".",
"resource_attributes",
")",
"rest_api",
".",
"BinaryMediaTypes",
"=",
"self",
".",
"binary_media",
"rest_api",
".",
"MinimumCompressionSize",
"=",
"self",
".",
"minimum_compression_size",
"if",
"self",
".",
"endpoint_configuration",
":",
"self",
".",
"_set_endpoint_configuration",
"(",
"rest_api",
",",
"self",
".",
"endpoint_configuration",
")",
"elif",
"not",
"RegionConfiguration",
".",
"is_apigw_edge_configuration_supported",
"(",
")",
":",
"# Since this region does not support EDGE configuration, we explicitly set the endpoint type",
"# to Regional which is the only supported config.",
"self",
".",
"_set_endpoint_configuration",
"(",
"rest_api",
",",
"\"REGIONAL\"",
")",
"if",
"self",
".",
"definition_uri",
"and",
"self",
".",
"definition_body",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Specify either 'DefinitionUri' or 'DefinitionBody' property and not both\"",
")",
"self",
".",
"_add_cors",
"(",
")",
"self",
".",
"_add_auth",
"(",
")",
"self",
".",
"_add_gateway_responses",
"(",
")",
"if",
"self",
".",
"definition_uri",
":",
"rest_api",
".",
"BodyS3Location",
"=",
"self",
".",
"_construct_body_s3_dict",
"(",
")",
"elif",
"self",
".",
"definition_body",
":",
"rest_api",
".",
"Body",
"=",
"self",
".",
"definition_body",
"if",
"self",
".",
"name",
":",
"rest_api",
".",
"Name",
"=",
"self",
".",
"name",
"return",
"rest_api"
] |
Constructs and returns the ApiGateway RestApi.
:returns: the RestApi to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayRestApi
|
[
"Constructs",
"and",
"returns",
"the",
"ApiGateway",
"RestApi",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L74-L108
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._construct_body_s3_dict
|
def _construct_body_s3_dict(self):
"""Constructs the RestApi's `BodyS3Location property`_, from the SAM Api's DefinitionUri property.
:returns: a BodyS3Location dict, containing the S3 Bucket, Key, and Version of the Swagger definition
:rtype: dict
"""
if isinstance(self.definition_uri, dict):
if not self.definition_uri.get("Bucket", None) or not self.definition_uri.get("Key", None):
# DefinitionUri is a dictionary but does not contain Bucket or Key property
raise InvalidResourceException(self.logical_id,
"'DefinitionUri' requires Bucket and Key properties to be specified")
s3_pointer = self.definition_uri
else:
# DefinitionUri is a string
s3_pointer = parse_s3_uri(self.definition_uri)
if s3_pointer is None:
raise InvalidResourceException(self.logical_id,
'\'DefinitionUri\' is not a valid S3 Uri of the form '
'"s3://bucket/key" with optional versionId query parameter.')
body_s3 = {
'Bucket': s3_pointer['Bucket'],
'Key': s3_pointer['Key']
}
if 'Version' in s3_pointer:
body_s3['Version'] = s3_pointer['Version']
return body_s3
|
python
|
def _construct_body_s3_dict(self):
"""Constructs the RestApi's `BodyS3Location property`_, from the SAM Api's DefinitionUri property.
:returns: a BodyS3Location dict, containing the S3 Bucket, Key, and Version of the Swagger definition
:rtype: dict
"""
if isinstance(self.definition_uri, dict):
if not self.definition_uri.get("Bucket", None) or not self.definition_uri.get("Key", None):
# DefinitionUri is a dictionary but does not contain Bucket or Key property
raise InvalidResourceException(self.logical_id,
"'DefinitionUri' requires Bucket and Key properties to be specified")
s3_pointer = self.definition_uri
else:
# DefinitionUri is a string
s3_pointer = parse_s3_uri(self.definition_uri)
if s3_pointer is None:
raise InvalidResourceException(self.logical_id,
'\'DefinitionUri\' is not a valid S3 Uri of the form '
'"s3://bucket/key" with optional versionId query parameter.')
body_s3 = {
'Bucket': s3_pointer['Bucket'],
'Key': s3_pointer['Key']
}
if 'Version' in s3_pointer:
body_s3['Version'] = s3_pointer['Version']
return body_s3
|
[
"def",
"_construct_body_s3_dict",
"(",
"self",
")",
":",
"if",
"isinstance",
"(",
"self",
".",
"definition_uri",
",",
"dict",
")",
":",
"if",
"not",
"self",
".",
"definition_uri",
".",
"get",
"(",
"\"Bucket\"",
",",
"None",
")",
"or",
"not",
"self",
".",
"definition_uri",
".",
"get",
"(",
"\"Key\"",
",",
"None",
")",
":",
"# DefinitionUri is a dictionary but does not contain Bucket or Key property",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"'DefinitionUri' requires Bucket and Key properties to be specified\"",
")",
"s3_pointer",
"=",
"self",
".",
"definition_uri",
"else",
":",
"# DefinitionUri is a string",
"s3_pointer",
"=",
"parse_s3_uri",
"(",
"self",
".",
"definition_uri",
")",
"if",
"s3_pointer",
"is",
"None",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"'\\'DefinitionUri\\' is not a valid S3 Uri of the form '",
"'\"s3://bucket/key\" with optional versionId query parameter.'",
")",
"body_s3",
"=",
"{",
"'Bucket'",
":",
"s3_pointer",
"[",
"'Bucket'",
"]",
",",
"'Key'",
":",
"s3_pointer",
"[",
"'Key'",
"]",
"}",
"if",
"'Version'",
"in",
"s3_pointer",
":",
"body_s3",
"[",
"'Version'",
"]",
"=",
"s3_pointer",
"[",
"'Version'",
"]",
"return",
"body_s3"
] |
Constructs the RestApi's `BodyS3Location property`_, from the SAM Api's DefinitionUri property.
:returns: a BodyS3Location dict, containing the S3 Bucket, Key, and Version of the Swagger definition
:rtype: dict
|
[
"Constructs",
"the",
"RestApi",
"s",
"BodyS3Location",
"property",
"_",
"from",
"the",
"SAM",
"Api",
"s",
"DefinitionUri",
"property",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L110-L138
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._construct_deployment
|
def _construct_deployment(self, rest_api):
"""Constructs and returns the ApiGateway Deployment.
:param model.apigateway.ApiGatewayRestApi rest_api: the RestApi for this Deployment
:returns: the Deployment to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayDeployment
"""
deployment = ApiGatewayDeployment(self.logical_id + 'Deployment',
attributes=self.passthrough_resource_attributes)
deployment.RestApiId = rest_api.get_runtime_attr('rest_api_id')
deployment.StageName = 'Stage'
return deployment
|
python
|
def _construct_deployment(self, rest_api):
"""Constructs and returns the ApiGateway Deployment.
:param model.apigateway.ApiGatewayRestApi rest_api: the RestApi for this Deployment
:returns: the Deployment to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayDeployment
"""
deployment = ApiGatewayDeployment(self.logical_id + 'Deployment',
attributes=self.passthrough_resource_attributes)
deployment.RestApiId = rest_api.get_runtime_attr('rest_api_id')
deployment.StageName = 'Stage'
return deployment
|
[
"def",
"_construct_deployment",
"(",
"self",
",",
"rest_api",
")",
":",
"deployment",
"=",
"ApiGatewayDeployment",
"(",
"self",
".",
"logical_id",
"+",
"'Deployment'",
",",
"attributes",
"=",
"self",
".",
"passthrough_resource_attributes",
")",
"deployment",
".",
"RestApiId",
"=",
"rest_api",
".",
"get_runtime_attr",
"(",
"'rest_api_id'",
")",
"deployment",
".",
"StageName",
"=",
"'Stage'",
"return",
"deployment"
] |
Constructs and returns the ApiGateway Deployment.
:param model.apigateway.ApiGatewayRestApi rest_api: the RestApi for this Deployment
:returns: the Deployment to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayDeployment
|
[
"Constructs",
"and",
"returns",
"the",
"ApiGateway",
"Deployment",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L140-L152
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._construct_stage
|
def _construct_stage(self, deployment, swagger):
"""Constructs and returns the ApiGateway Stage.
:param model.apigateway.ApiGatewayDeployment deployment: the Deployment for this Stage
:returns: the Stage to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayStage
"""
# If StageName is some intrinsic function, then don't prefix the Stage's logical ID
# This will NOT create duplicates because we allow only ONE stage per API resource
stage_name_prefix = self.stage_name if isinstance(self.stage_name, string_types) else ""
stage = ApiGatewayStage(self.logical_id + stage_name_prefix + 'Stage',
attributes=self.passthrough_resource_attributes)
stage.RestApiId = ref(self.logical_id)
stage.update_deployment_ref(deployment.logical_id)
stage.StageName = self.stage_name
stage.CacheClusterEnabled = self.cache_cluster_enabled
stage.CacheClusterSize = self.cache_cluster_size
stage.Variables = self.variables
stage.MethodSettings = self.method_settings
stage.AccessLogSetting = self.access_log_setting
stage.CanarySetting = self.canary_setting
stage.TracingEnabled = self.tracing_enabled
if swagger is not None:
deployment.make_auto_deployable(stage, swagger)
return stage
|
python
|
def _construct_stage(self, deployment, swagger):
"""Constructs and returns the ApiGateway Stage.
:param model.apigateway.ApiGatewayDeployment deployment: the Deployment for this Stage
:returns: the Stage to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayStage
"""
# If StageName is some intrinsic function, then don't prefix the Stage's logical ID
# This will NOT create duplicates because we allow only ONE stage per API resource
stage_name_prefix = self.stage_name if isinstance(self.stage_name, string_types) else ""
stage = ApiGatewayStage(self.logical_id + stage_name_prefix + 'Stage',
attributes=self.passthrough_resource_attributes)
stage.RestApiId = ref(self.logical_id)
stage.update_deployment_ref(deployment.logical_id)
stage.StageName = self.stage_name
stage.CacheClusterEnabled = self.cache_cluster_enabled
stage.CacheClusterSize = self.cache_cluster_size
stage.Variables = self.variables
stage.MethodSettings = self.method_settings
stage.AccessLogSetting = self.access_log_setting
stage.CanarySetting = self.canary_setting
stage.TracingEnabled = self.tracing_enabled
if swagger is not None:
deployment.make_auto_deployable(stage, swagger)
return stage
|
[
"def",
"_construct_stage",
"(",
"self",
",",
"deployment",
",",
"swagger",
")",
":",
"# If StageName is some intrinsic function, then don't prefix the Stage's logical ID",
"# This will NOT create duplicates because we allow only ONE stage per API resource",
"stage_name_prefix",
"=",
"self",
".",
"stage_name",
"if",
"isinstance",
"(",
"self",
".",
"stage_name",
",",
"string_types",
")",
"else",
"\"\"",
"stage",
"=",
"ApiGatewayStage",
"(",
"self",
".",
"logical_id",
"+",
"stage_name_prefix",
"+",
"'Stage'",
",",
"attributes",
"=",
"self",
".",
"passthrough_resource_attributes",
")",
"stage",
".",
"RestApiId",
"=",
"ref",
"(",
"self",
".",
"logical_id",
")",
"stage",
".",
"update_deployment_ref",
"(",
"deployment",
".",
"logical_id",
")",
"stage",
".",
"StageName",
"=",
"self",
".",
"stage_name",
"stage",
".",
"CacheClusterEnabled",
"=",
"self",
".",
"cache_cluster_enabled",
"stage",
".",
"CacheClusterSize",
"=",
"self",
".",
"cache_cluster_size",
"stage",
".",
"Variables",
"=",
"self",
".",
"variables",
"stage",
".",
"MethodSettings",
"=",
"self",
".",
"method_settings",
"stage",
".",
"AccessLogSetting",
"=",
"self",
".",
"access_log_setting",
"stage",
".",
"CanarySetting",
"=",
"self",
".",
"canary_setting",
"stage",
".",
"TracingEnabled",
"=",
"self",
".",
"tracing_enabled",
"if",
"swagger",
"is",
"not",
"None",
":",
"deployment",
".",
"make_auto_deployable",
"(",
"stage",
",",
"swagger",
")",
"return",
"stage"
] |
Constructs and returns the ApiGateway Stage.
:param model.apigateway.ApiGatewayDeployment deployment: the Deployment for this Stage
:returns: the Stage to which this SAM Api corresponds
:rtype: model.apigateway.ApiGatewayStage
|
[
"Constructs",
"and",
"returns",
"the",
"ApiGateway",
"Stage",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L154-L182
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator.to_cloudformation
|
def to_cloudformation(self):
"""Generates CloudFormation resources from a SAM API resource
:returns: a tuple containing the RestApi, Deployment, and Stage for an empty Api.
:rtype: tuple
"""
rest_api = self._construct_rest_api()
deployment = self._construct_deployment(rest_api)
swagger = None
if rest_api.Body is not None:
swagger = rest_api.Body
elif rest_api.BodyS3Location is not None:
swagger = rest_api.BodyS3Location
stage = self._construct_stage(deployment, swagger)
permissions = self._construct_authorizer_lambda_permission()
return rest_api, deployment, stage, permissions
|
python
|
def to_cloudformation(self):
"""Generates CloudFormation resources from a SAM API resource
:returns: a tuple containing the RestApi, Deployment, and Stage for an empty Api.
:rtype: tuple
"""
rest_api = self._construct_rest_api()
deployment = self._construct_deployment(rest_api)
swagger = None
if rest_api.Body is not None:
swagger = rest_api.Body
elif rest_api.BodyS3Location is not None:
swagger = rest_api.BodyS3Location
stage = self._construct_stage(deployment, swagger)
permissions = self._construct_authorizer_lambda_permission()
return rest_api, deployment, stage, permissions
|
[
"def",
"to_cloudformation",
"(",
"self",
")",
":",
"rest_api",
"=",
"self",
".",
"_construct_rest_api",
"(",
")",
"deployment",
"=",
"self",
".",
"_construct_deployment",
"(",
"rest_api",
")",
"swagger",
"=",
"None",
"if",
"rest_api",
".",
"Body",
"is",
"not",
"None",
":",
"swagger",
"=",
"rest_api",
".",
"Body",
"elif",
"rest_api",
".",
"BodyS3Location",
"is",
"not",
"None",
":",
"swagger",
"=",
"rest_api",
".",
"BodyS3Location",
"stage",
"=",
"self",
".",
"_construct_stage",
"(",
"deployment",
",",
"swagger",
")",
"permissions",
"=",
"self",
".",
"_construct_authorizer_lambda_permission",
"(",
")",
"return",
"rest_api",
",",
"deployment",
",",
"stage",
",",
"permissions"
] |
Generates CloudFormation resources from a SAM API resource
:returns: a tuple containing the RestApi, Deployment, and Stage for an empty Api.
:rtype: tuple
|
[
"Generates",
"CloudFormation",
"resources",
"from",
"a",
"SAM",
"API",
"resource"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L184-L203
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._add_cors
|
def _add_cors(self):
"""
Add CORS configuration to the Swagger file, if necessary
"""
INVALID_ERROR = "Invalid value for 'Cors' property"
if not self.cors:
return
if self.cors and not self.definition_body:
raise InvalidResourceException(self.logical_id,
"Cors works only with inline Swagger specified in "
"'DefinitionBody' property")
if isinstance(self.cors, string_types) or is_instrinsic(self.cors):
# Just set Origin property. Others will be defaults
properties = CorsProperties(AllowOrigin=self.cors)
elif isinstance(self.cors, dict):
# Make sure keys in the dict are recognized
if not all(key in CorsProperties._fields for key in self.cors.keys()):
raise InvalidResourceException(self.logical_id, INVALID_ERROR)
properties = CorsProperties(**self.cors)
else:
raise InvalidResourceException(self.logical_id, INVALID_ERROR)
if not SwaggerEditor.is_valid(self.definition_body):
raise InvalidResourceException(self.logical_id, "Unable to add Cors configuration because "
"'DefinitionBody' does not contain a valid Swagger")
if properties.AllowCredentials is True and properties.AllowOrigin == _CORS_WILDCARD:
raise InvalidResourceException(self.logical_id, "Unable to add Cors configuration because "
"'AllowCredentials' can not be true when "
"'AllowOrigin' is \"'*'\" or not set")
editor = SwaggerEditor(self.definition_body)
for path in editor.iter_on_path():
editor.add_cors(path, properties.AllowOrigin, properties.AllowHeaders, properties.AllowMethods,
max_age=properties.MaxAge, allow_credentials=properties.AllowCredentials)
# Assign the Swagger back to template
self.definition_body = editor.swagger
|
python
|
def _add_cors(self):
"""
Add CORS configuration to the Swagger file, if necessary
"""
INVALID_ERROR = "Invalid value for 'Cors' property"
if not self.cors:
return
if self.cors and not self.definition_body:
raise InvalidResourceException(self.logical_id,
"Cors works only with inline Swagger specified in "
"'DefinitionBody' property")
if isinstance(self.cors, string_types) or is_instrinsic(self.cors):
# Just set Origin property. Others will be defaults
properties = CorsProperties(AllowOrigin=self.cors)
elif isinstance(self.cors, dict):
# Make sure keys in the dict are recognized
if not all(key in CorsProperties._fields for key in self.cors.keys()):
raise InvalidResourceException(self.logical_id, INVALID_ERROR)
properties = CorsProperties(**self.cors)
else:
raise InvalidResourceException(self.logical_id, INVALID_ERROR)
if not SwaggerEditor.is_valid(self.definition_body):
raise InvalidResourceException(self.logical_id, "Unable to add Cors configuration because "
"'DefinitionBody' does not contain a valid Swagger")
if properties.AllowCredentials is True and properties.AllowOrigin == _CORS_WILDCARD:
raise InvalidResourceException(self.logical_id, "Unable to add Cors configuration because "
"'AllowCredentials' can not be true when "
"'AllowOrigin' is \"'*'\" or not set")
editor = SwaggerEditor(self.definition_body)
for path in editor.iter_on_path():
editor.add_cors(path, properties.AllowOrigin, properties.AllowHeaders, properties.AllowMethods,
max_age=properties.MaxAge, allow_credentials=properties.AllowCredentials)
# Assign the Swagger back to template
self.definition_body = editor.swagger
|
[
"def",
"_add_cors",
"(",
"self",
")",
":",
"INVALID_ERROR",
"=",
"\"Invalid value for 'Cors' property\"",
"if",
"not",
"self",
".",
"cors",
":",
"return",
"if",
"self",
".",
"cors",
"and",
"not",
"self",
".",
"definition_body",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Cors works only with inline Swagger specified in \"",
"\"'DefinitionBody' property\"",
")",
"if",
"isinstance",
"(",
"self",
".",
"cors",
",",
"string_types",
")",
"or",
"is_instrinsic",
"(",
"self",
".",
"cors",
")",
":",
"# Just set Origin property. Others will be defaults",
"properties",
"=",
"CorsProperties",
"(",
"AllowOrigin",
"=",
"self",
".",
"cors",
")",
"elif",
"isinstance",
"(",
"self",
".",
"cors",
",",
"dict",
")",
":",
"# Make sure keys in the dict are recognized",
"if",
"not",
"all",
"(",
"key",
"in",
"CorsProperties",
".",
"_fields",
"for",
"key",
"in",
"self",
".",
"cors",
".",
"keys",
"(",
")",
")",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"INVALID_ERROR",
")",
"properties",
"=",
"CorsProperties",
"(",
"*",
"*",
"self",
".",
"cors",
")",
"else",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"INVALID_ERROR",
")",
"if",
"not",
"SwaggerEditor",
".",
"is_valid",
"(",
"self",
".",
"definition_body",
")",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Unable to add Cors configuration because \"",
"\"'DefinitionBody' does not contain a valid Swagger\"",
")",
"if",
"properties",
".",
"AllowCredentials",
"is",
"True",
"and",
"properties",
".",
"AllowOrigin",
"==",
"_CORS_WILDCARD",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Unable to add Cors configuration because \"",
"\"'AllowCredentials' can not be true when \"",
"\"'AllowOrigin' is \\\"'*'\\\" or not set\"",
")",
"editor",
"=",
"SwaggerEditor",
"(",
"self",
".",
"definition_body",
")",
"for",
"path",
"in",
"editor",
".",
"iter_on_path",
"(",
")",
":",
"editor",
".",
"add_cors",
"(",
"path",
",",
"properties",
".",
"AllowOrigin",
",",
"properties",
".",
"AllowHeaders",
",",
"properties",
".",
"AllowMethods",
",",
"max_age",
"=",
"properties",
".",
"MaxAge",
",",
"allow_credentials",
"=",
"properties",
".",
"AllowCredentials",
")",
"# Assign the Swagger back to template",
"self",
".",
"definition_body",
"=",
"editor",
".",
"swagger"
] |
Add CORS configuration to the Swagger file, if necessary
|
[
"Add",
"CORS",
"configuration",
"to",
"the",
"Swagger",
"file",
"if",
"necessary"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L205-L249
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._add_auth
|
def _add_auth(self):
"""
Add Auth configuration to the Swagger file, if necessary
"""
if not self.auth:
return
if self.auth and not self.definition_body:
raise InvalidResourceException(self.logical_id,
"Auth works only with inline Swagger specified in "
"'DefinitionBody' property")
# Make sure keys in the dict are recognized
if not all(key in AuthProperties._fields for key in self.auth.keys()):
raise InvalidResourceException(
self.logical_id, "Invalid value for 'Auth' property")
if not SwaggerEditor.is_valid(self.definition_body):
raise InvalidResourceException(self.logical_id, "Unable to add Auth configuration because "
"'DefinitionBody' does not contain a valid Swagger")
swagger_editor = SwaggerEditor(self.definition_body)
auth_properties = AuthProperties(**self.auth)
authorizers = self._get_authorizers(auth_properties.Authorizers, auth_properties.DefaultAuthorizer)
if authorizers:
swagger_editor.add_authorizers(authorizers)
self._set_default_authorizer(swagger_editor, authorizers, auth_properties.DefaultAuthorizer)
# Assign the Swagger back to template
self.definition_body = swagger_editor.swagger
|
python
|
def _add_auth(self):
"""
Add Auth configuration to the Swagger file, if necessary
"""
if not self.auth:
return
if self.auth and not self.definition_body:
raise InvalidResourceException(self.logical_id,
"Auth works only with inline Swagger specified in "
"'DefinitionBody' property")
# Make sure keys in the dict are recognized
if not all(key in AuthProperties._fields for key in self.auth.keys()):
raise InvalidResourceException(
self.logical_id, "Invalid value for 'Auth' property")
if not SwaggerEditor.is_valid(self.definition_body):
raise InvalidResourceException(self.logical_id, "Unable to add Auth configuration because "
"'DefinitionBody' does not contain a valid Swagger")
swagger_editor = SwaggerEditor(self.definition_body)
auth_properties = AuthProperties(**self.auth)
authorizers = self._get_authorizers(auth_properties.Authorizers, auth_properties.DefaultAuthorizer)
if authorizers:
swagger_editor.add_authorizers(authorizers)
self._set_default_authorizer(swagger_editor, authorizers, auth_properties.DefaultAuthorizer)
# Assign the Swagger back to template
self.definition_body = swagger_editor.swagger
|
[
"def",
"_add_auth",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"auth",
":",
"return",
"if",
"self",
".",
"auth",
"and",
"not",
"self",
".",
"definition_body",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Auth works only with inline Swagger specified in \"",
"\"'DefinitionBody' property\"",
")",
"# Make sure keys in the dict are recognized",
"if",
"not",
"all",
"(",
"key",
"in",
"AuthProperties",
".",
"_fields",
"for",
"key",
"in",
"self",
".",
"auth",
".",
"keys",
"(",
")",
")",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Invalid value for 'Auth' property\"",
")",
"if",
"not",
"SwaggerEditor",
".",
"is_valid",
"(",
"self",
".",
"definition_body",
")",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Unable to add Auth configuration because \"",
"\"'DefinitionBody' does not contain a valid Swagger\"",
")",
"swagger_editor",
"=",
"SwaggerEditor",
"(",
"self",
".",
"definition_body",
")",
"auth_properties",
"=",
"AuthProperties",
"(",
"*",
"*",
"self",
".",
"auth",
")",
"authorizers",
"=",
"self",
".",
"_get_authorizers",
"(",
"auth_properties",
".",
"Authorizers",
",",
"auth_properties",
".",
"DefaultAuthorizer",
")",
"if",
"authorizers",
":",
"swagger_editor",
".",
"add_authorizers",
"(",
"authorizers",
")",
"self",
".",
"_set_default_authorizer",
"(",
"swagger_editor",
",",
"authorizers",
",",
"auth_properties",
".",
"DefaultAuthorizer",
")",
"# Assign the Swagger back to template",
"self",
".",
"definition_body",
"=",
"swagger_editor",
".",
"swagger"
] |
Add Auth configuration to the Swagger file, if necessary
|
[
"Add",
"Auth",
"configuration",
"to",
"the",
"Swagger",
"file",
"if",
"necessary"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L251-L281
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._add_gateway_responses
|
def _add_gateway_responses(self):
"""
Add Gateway Response configuration to the Swagger file, if necessary
"""
if not self.gateway_responses:
return
if self.gateway_responses and not self.definition_body:
raise InvalidResourceException(
self.logical_id, "GatewayResponses works only with inline Swagger specified in "
"'DefinitionBody' property")
# Make sure keys in the dict are recognized
for responses_key, responses_value in self.gateway_responses.items():
for response_key in responses_value.keys():
if response_key not in GatewayResponseProperties:
raise InvalidResourceException(
self.logical_id,
"Invalid property '{}' in 'GatewayResponses' property '{}'".format(response_key, responses_key))
if not SwaggerEditor.is_valid(self.definition_body):
raise InvalidResourceException(
self.logical_id, "Unable to add Auth configuration because "
"'DefinitionBody' does not contain a valid Swagger")
swagger_editor = SwaggerEditor(self.definition_body)
gateway_responses = {}
for response_type, response in self.gateway_responses.items():
gateway_responses[response_type] = ApiGatewayResponse(
api_logical_id=self.logical_id,
response_parameters=response.get('ResponseParameters', {}),
response_templates=response.get('ResponseTemplates', {}),
status_code=response.get('StatusCode', None)
)
if gateway_responses:
swagger_editor.add_gateway_responses(gateway_responses)
# Assign the Swagger back to template
self.definition_body = swagger_editor.swagger
|
python
|
def _add_gateway_responses(self):
"""
Add Gateway Response configuration to the Swagger file, if necessary
"""
if not self.gateway_responses:
return
if self.gateway_responses and not self.definition_body:
raise InvalidResourceException(
self.logical_id, "GatewayResponses works only with inline Swagger specified in "
"'DefinitionBody' property")
# Make sure keys in the dict are recognized
for responses_key, responses_value in self.gateway_responses.items():
for response_key in responses_value.keys():
if response_key not in GatewayResponseProperties:
raise InvalidResourceException(
self.logical_id,
"Invalid property '{}' in 'GatewayResponses' property '{}'".format(response_key, responses_key))
if not SwaggerEditor.is_valid(self.definition_body):
raise InvalidResourceException(
self.logical_id, "Unable to add Auth configuration because "
"'DefinitionBody' does not contain a valid Swagger")
swagger_editor = SwaggerEditor(self.definition_body)
gateway_responses = {}
for response_type, response in self.gateway_responses.items():
gateway_responses[response_type] = ApiGatewayResponse(
api_logical_id=self.logical_id,
response_parameters=response.get('ResponseParameters', {}),
response_templates=response.get('ResponseTemplates', {}),
status_code=response.get('StatusCode', None)
)
if gateway_responses:
swagger_editor.add_gateway_responses(gateway_responses)
# Assign the Swagger back to template
self.definition_body = swagger_editor.swagger
|
[
"def",
"_add_gateway_responses",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"gateway_responses",
":",
"return",
"if",
"self",
".",
"gateway_responses",
"and",
"not",
"self",
".",
"definition_body",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"GatewayResponses works only with inline Swagger specified in \"",
"\"'DefinitionBody' property\"",
")",
"# Make sure keys in the dict are recognized",
"for",
"responses_key",
",",
"responses_value",
"in",
"self",
".",
"gateway_responses",
".",
"items",
"(",
")",
":",
"for",
"response_key",
"in",
"responses_value",
".",
"keys",
"(",
")",
":",
"if",
"response_key",
"not",
"in",
"GatewayResponseProperties",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Invalid property '{}' in 'GatewayResponses' property '{}'\"",
".",
"format",
"(",
"response_key",
",",
"responses_key",
")",
")",
"if",
"not",
"SwaggerEditor",
".",
"is_valid",
"(",
"self",
".",
"definition_body",
")",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Unable to add Auth configuration because \"",
"\"'DefinitionBody' does not contain a valid Swagger\"",
")",
"swagger_editor",
"=",
"SwaggerEditor",
"(",
"self",
".",
"definition_body",
")",
"gateway_responses",
"=",
"{",
"}",
"for",
"response_type",
",",
"response",
"in",
"self",
".",
"gateway_responses",
".",
"items",
"(",
")",
":",
"gateway_responses",
"[",
"response_type",
"]",
"=",
"ApiGatewayResponse",
"(",
"api_logical_id",
"=",
"self",
".",
"logical_id",
",",
"response_parameters",
"=",
"response",
".",
"get",
"(",
"'ResponseParameters'",
",",
"{",
"}",
")",
",",
"response_templates",
"=",
"response",
".",
"get",
"(",
"'ResponseTemplates'",
",",
"{",
"}",
")",
",",
"status_code",
"=",
"response",
".",
"get",
"(",
"'StatusCode'",
",",
"None",
")",
")",
"if",
"gateway_responses",
":",
"swagger_editor",
".",
"add_gateway_responses",
"(",
"gateway_responses",
")",
"# Assign the Swagger back to template",
"self",
".",
"definition_body",
"=",
"swagger_editor",
".",
"swagger"
] |
Add Gateway Response configuration to the Swagger file, if necessary
|
[
"Add",
"Gateway",
"Response",
"configuration",
"to",
"the",
"Swagger",
"file",
"if",
"necessary"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L283-L324
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._get_permission
|
def _get_permission(self, authorizer_name, authorizer_lambda_function_arn):
"""Constructs and returns the Lambda Permission resource allowing the Authorizer to invoke the function.
:returns: the permission resource
:rtype: model.lambda_.LambdaPermission
"""
rest_api = ApiGatewayRestApi(self.logical_id, depends_on=self.depends_on, attributes=self.resource_attributes)
api_id = rest_api.get_runtime_attr('rest_api_id')
partition = ArnGenerator.get_partition_name()
resource = '${__ApiId__}/authorizers/*'
source_arn = fnSub(ArnGenerator.generate_arn(partition=partition, service='execute-api', resource=resource),
{"__ApiId__": api_id})
lambda_permission = LambdaPermission(self.logical_id + authorizer_name + 'AuthorizerPermission',
attributes=self.passthrough_resource_attributes)
lambda_permission.Action = 'lambda:invokeFunction'
lambda_permission.FunctionName = authorizer_lambda_function_arn
lambda_permission.Principal = 'apigateway.amazonaws.com'
lambda_permission.SourceArn = source_arn
return lambda_permission
|
python
|
def _get_permission(self, authorizer_name, authorizer_lambda_function_arn):
"""Constructs and returns the Lambda Permission resource allowing the Authorizer to invoke the function.
:returns: the permission resource
:rtype: model.lambda_.LambdaPermission
"""
rest_api = ApiGatewayRestApi(self.logical_id, depends_on=self.depends_on, attributes=self.resource_attributes)
api_id = rest_api.get_runtime_attr('rest_api_id')
partition = ArnGenerator.get_partition_name()
resource = '${__ApiId__}/authorizers/*'
source_arn = fnSub(ArnGenerator.generate_arn(partition=partition, service='execute-api', resource=resource),
{"__ApiId__": api_id})
lambda_permission = LambdaPermission(self.logical_id + authorizer_name + 'AuthorizerPermission',
attributes=self.passthrough_resource_attributes)
lambda_permission.Action = 'lambda:invokeFunction'
lambda_permission.FunctionName = authorizer_lambda_function_arn
lambda_permission.Principal = 'apigateway.amazonaws.com'
lambda_permission.SourceArn = source_arn
return lambda_permission
|
[
"def",
"_get_permission",
"(",
"self",
",",
"authorizer_name",
",",
"authorizer_lambda_function_arn",
")",
":",
"rest_api",
"=",
"ApiGatewayRestApi",
"(",
"self",
".",
"logical_id",
",",
"depends_on",
"=",
"self",
".",
"depends_on",
",",
"attributes",
"=",
"self",
".",
"resource_attributes",
")",
"api_id",
"=",
"rest_api",
".",
"get_runtime_attr",
"(",
"'rest_api_id'",
")",
"partition",
"=",
"ArnGenerator",
".",
"get_partition_name",
"(",
")",
"resource",
"=",
"'${__ApiId__}/authorizers/*'",
"source_arn",
"=",
"fnSub",
"(",
"ArnGenerator",
".",
"generate_arn",
"(",
"partition",
"=",
"partition",
",",
"service",
"=",
"'execute-api'",
",",
"resource",
"=",
"resource",
")",
",",
"{",
"\"__ApiId__\"",
":",
"api_id",
"}",
")",
"lambda_permission",
"=",
"LambdaPermission",
"(",
"self",
".",
"logical_id",
"+",
"authorizer_name",
"+",
"'AuthorizerPermission'",
",",
"attributes",
"=",
"self",
".",
"passthrough_resource_attributes",
")",
"lambda_permission",
".",
"Action",
"=",
"'lambda:invokeFunction'",
"lambda_permission",
".",
"FunctionName",
"=",
"authorizer_lambda_function_arn",
"lambda_permission",
".",
"Principal",
"=",
"'apigateway.amazonaws.com'",
"lambda_permission",
".",
"SourceArn",
"=",
"source_arn",
"return",
"lambda_permission"
] |
Constructs and returns the Lambda Permission resource allowing the Authorizer to invoke the function.
:returns: the permission resource
:rtype: model.lambda_.LambdaPermission
|
[
"Constructs",
"and",
"returns",
"the",
"Lambda",
"Permission",
"resource",
"allowing",
"the",
"Authorizer",
"to",
"invoke",
"the",
"function",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L360-L381
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/api/api_generator.py
|
ApiGenerator._set_endpoint_configuration
|
def _set_endpoint_configuration(self, rest_api, value):
"""
Sets endpoint configuration property of AWS::ApiGateway::RestApi resource
:param rest_api: RestApi resource
:param string/dict value: Value to be set
"""
rest_api.EndpointConfiguration = {"Types": [value]}
rest_api.Parameters = {"endpointConfigurationTypes": value}
|
python
|
def _set_endpoint_configuration(self, rest_api, value):
"""
Sets endpoint configuration property of AWS::ApiGateway::RestApi resource
:param rest_api: RestApi resource
:param string/dict value: Value to be set
"""
rest_api.EndpointConfiguration = {"Types": [value]}
rest_api.Parameters = {"endpointConfigurationTypes": value}
|
[
"def",
"_set_endpoint_configuration",
"(",
"self",
",",
"rest_api",
",",
"value",
")",
":",
"rest_api",
".",
"EndpointConfiguration",
"=",
"{",
"\"Types\"",
":",
"[",
"value",
"]",
"}",
"rest_api",
".",
"Parameters",
"=",
"{",
"\"endpointConfigurationTypes\"",
":",
"value",
"}"
] |
Sets endpoint configuration property of AWS::ApiGateway::RestApi resource
:param rest_api: RestApi resource
:param string/dict value: Value to be set
|
[
"Sets",
"endpoint",
"configuration",
"property",
"of",
"AWS",
"::",
"ApiGateway",
"::",
"RestApi",
"resource",
":",
"param",
"rest_api",
":",
"RestApi",
"resource",
":",
"param",
"string",
"/",
"dict",
"value",
":",
"Value",
"to",
"be",
"set"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/api/api_generator.py#L416-L424
|
train
|
awslabs/serverless-application-model
|
examples/apps/greengrass-hello-world/greengrass_ipc_python_sdk/utils/exponential_backoff.py
|
retry
|
def retry(time_unit, multiplier, backoff_coefficient, max_delay, max_attempts, expiration_duration, enable_jitter):
"""
The retry function will keep retrying `task_to_try` until either:
(1) it returns None, then retry() finishes
(2) `max_attempts` is reached, then retry() raises an exception.
(3) if retrying one more time will cause total wait time to go above: `expiration_duration`, then
retry() raises an exception
Beware that any exception raised by task_to_try won't get surfaced until (2) or (3) is satisfied.
At step n, it sleeps for [0, delay), where delay is defined as the following:
`delay = min(max_delay, multiplier * (backoff_coefficient ** (n - 1))) * time_unit` seconds
Additionally, if you enable jitter, for each retry, the function will instead sleep for:
random.random() * sleep, that is [0, sleep) seconds.
:param time_unit: This field represents a fraction of a second, which is used as a
multiplier to compute the amount of time to sleep.
:type time_unit: float
:param multiplier: The initial wait duration for the first retry.
:type multiplier: float
:param backoff_coefficient: the base value for exponential retry.
:type backoff_coefficient: float
:param max_delay: The maximum amount of time to wait per try.
:type max_delay: float
:param max_attempts: This method will retry up to this value.
:type max_attempts: int
:param expiration_duration: the maximum amount of time retry can wait.
:type expiration_duration: float
:param enable_jitter: Setting this to true will add jitter.
:type enable_jitter: bool
"""
def deco_retry(task_to_try):
@wraps(task_to_try)
def retry_impl(*args, **kwargs):
total_wait_time = 0
have_tried = 0
retry_errors = []
while have_tried < max_attempts:
try:
task_to_try(*args, **kwargs)
return
except Exception as e:
retry_errors.append(e)
going_to_sleep_for = min(max_delay, multiplier * (backoff_coefficient ** have_tried))
if enable_jitter:
going_to_sleep_for = random.random() * going_to_sleep_for
duration = going_to_sleep_for * time_unit
if total_wait_time + duration > expiration_duration:
raise RetryTimeoutException(task_to_try.__name__, have_tried, max_attempts, total_wait_time,
multiplier, backoff_coefficient, enable_jitter, retry_errors)
runtime_logger.warn('Retrying [{0}], going to sleep for {1} seconds, exception stacktrace:\n{2}'
.format(task_to_try.__name__, duration, traceback.format_exc()))
time.sleep(duration)
total_wait_time += duration
have_tried += 1
raise RetryTimeoutException(task_to_try.__name__, have_tried, max_attempts, total_wait_time, multiplier,
backoff_coefficient, enable_jitter, retry_errors)
return retry_impl
return deco_retry
|
python
|
def retry(time_unit, multiplier, backoff_coefficient, max_delay, max_attempts, expiration_duration, enable_jitter):
"""
The retry function will keep retrying `task_to_try` until either:
(1) it returns None, then retry() finishes
(2) `max_attempts` is reached, then retry() raises an exception.
(3) if retrying one more time will cause total wait time to go above: `expiration_duration`, then
retry() raises an exception
Beware that any exception raised by task_to_try won't get surfaced until (2) or (3) is satisfied.
At step n, it sleeps for [0, delay), where delay is defined as the following:
`delay = min(max_delay, multiplier * (backoff_coefficient ** (n - 1))) * time_unit` seconds
Additionally, if you enable jitter, for each retry, the function will instead sleep for:
random.random() * sleep, that is [0, sleep) seconds.
:param time_unit: This field represents a fraction of a second, which is used as a
multiplier to compute the amount of time to sleep.
:type time_unit: float
:param multiplier: The initial wait duration for the first retry.
:type multiplier: float
:param backoff_coefficient: the base value for exponential retry.
:type backoff_coefficient: float
:param max_delay: The maximum amount of time to wait per try.
:type max_delay: float
:param max_attempts: This method will retry up to this value.
:type max_attempts: int
:param expiration_duration: the maximum amount of time retry can wait.
:type expiration_duration: float
:param enable_jitter: Setting this to true will add jitter.
:type enable_jitter: bool
"""
def deco_retry(task_to_try):
@wraps(task_to_try)
def retry_impl(*args, **kwargs):
total_wait_time = 0
have_tried = 0
retry_errors = []
while have_tried < max_attempts:
try:
task_to_try(*args, **kwargs)
return
except Exception as e:
retry_errors.append(e)
going_to_sleep_for = min(max_delay, multiplier * (backoff_coefficient ** have_tried))
if enable_jitter:
going_to_sleep_for = random.random() * going_to_sleep_for
duration = going_to_sleep_for * time_unit
if total_wait_time + duration > expiration_duration:
raise RetryTimeoutException(task_to_try.__name__, have_tried, max_attempts, total_wait_time,
multiplier, backoff_coefficient, enable_jitter, retry_errors)
runtime_logger.warn('Retrying [{0}], going to sleep for {1} seconds, exception stacktrace:\n{2}'
.format(task_to_try.__name__, duration, traceback.format_exc()))
time.sleep(duration)
total_wait_time += duration
have_tried += 1
raise RetryTimeoutException(task_to_try.__name__, have_tried, max_attempts, total_wait_time, multiplier,
backoff_coefficient, enable_jitter, retry_errors)
return retry_impl
return deco_retry
|
[
"def",
"retry",
"(",
"time_unit",
",",
"multiplier",
",",
"backoff_coefficient",
",",
"max_delay",
",",
"max_attempts",
",",
"expiration_duration",
",",
"enable_jitter",
")",
":",
"def",
"deco_retry",
"(",
"task_to_try",
")",
":",
"@",
"wraps",
"(",
"task_to_try",
")",
"def",
"retry_impl",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"total_wait_time",
"=",
"0",
"have_tried",
"=",
"0",
"retry_errors",
"=",
"[",
"]",
"while",
"have_tried",
"<",
"max_attempts",
":",
"try",
":",
"task_to_try",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"return",
"except",
"Exception",
"as",
"e",
":",
"retry_errors",
".",
"append",
"(",
"e",
")",
"going_to_sleep_for",
"=",
"min",
"(",
"max_delay",
",",
"multiplier",
"*",
"(",
"backoff_coefficient",
"**",
"have_tried",
")",
")",
"if",
"enable_jitter",
":",
"going_to_sleep_for",
"=",
"random",
".",
"random",
"(",
")",
"*",
"going_to_sleep_for",
"duration",
"=",
"going_to_sleep_for",
"*",
"time_unit",
"if",
"total_wait_time",
"+",
"duration",
">",
"expiration_duration",
":",
"raise",
"RetryTimeoutException",
"(",
"task_to_try",
".",
"__name__",
",",
"have_tried",
",",
"max_attempts",
",",
"total_wait_time",
",",
"multiplier",
",",
"backoff_coefficient",
",",
"enable_jitter",
",",
"retry_errors",
")",
"runtime_logger",
".",
"warn",
"(",
"'Retrying [{0}], going to sleep for {1} seconds, exception stacktrace:\\n{2}'",
".",
"format",
"(",
"task_to_try",
".",
"__name__",
",",
"duration",
",",
"traceback",
".",
"format_exc",
"(",
")",
")",
")",
"time",
".",
"sleep",
"(",
"duration",
")",
"total_wait_time",
"+=",
"duration",
"have_tried",
"+=",
"1",
"raise",
"RetryTimeoutException",
"(",
"task_to_try",
".",
"__name__",
",",
"have_tried",
",",
"max_attempts",
",",
"total_wait_time",
",",
"multiplier",
",",
"backoff_coefficient",
",",
"enable_jitter",
",",
"retry_errors",
")",
"return",
"retry_impl",
"return",
"deco_retry"
] |
The retry function will keep retrying `task_to_try` until either:
(1) it returns None, then retry() finishes
(2) `max_attempts` is reached, then retry() raises an exception.
(3) if retrying one more time will cause total wait time to go above: `expiration_duration`, then
retry() raises an exception
Beware that any exception raised by task_to_try won't get surfaced until (2) or (3) is satisfied.
At step n, it sleeps for [0, delay), where delay is defined as the following:
`delay = min(max_delay, multiplier * (backoff_coefficient ** (n - 1))) * time_unit` seconds
Additionally, if you enable jitter, for each retry, the function will instead sleep for:
random.random() * sleep, that is [0, sleep) seconds.
:param time_unit: This field represents a fraction of a second, which is used as a
multiplier to compute the amount of time to sleep.
:type time_unit: float
:param multiplier: The initial wait duration for the first retry.
:type multiplier: float
:param backoff_coefficient: the base value for exponential retry.
:type backoff_coefficient: float
:param max_delay: The maximum amount of time to wait per try.
:type max_delay: float
:param max_attempts: This method will retry up to this value.
:type max_attempts: int
:param expiration_duration: the maximum amount of time retry can wait.
:type expiration_duration: float
:param enable_jitter: Setting this to true will add jitter.
:type enable_jitter: bool
|
[
"The",
"retry",
"function",
"will",
"keep",
"retrying",
"task_to_try",
"until",
"either",
":",
"(",
"1",
")",
"it",
"returns",
"None",
"then",
"retry",
"()",
"finishes",
"(",
"2",
")",
"max_attempts",
"is",
"reached",
"then",
"retry",
"()",
"raises",
"an",
"exception",
".",
"(",
"3",
")",
"if",
"retrying",
"one",
"more",
"time",
"will",
"cause",
"total",
"wait",
"time",
"to",
"go",
"above",
":",
"expiration_duration",
"then",
"retry",
"()",
"raises",
"an",
"exception"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/examples/apps/greengrass-hello-world/greengrass_ipc_python_sdk/utils/exponential_backoff.py#L47-L116
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
to_cloudformation
|
def to_cloudformation(self, **kwargs):
"""Returns the Lambda function, role, and event resources to which this SAM Function corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
"""
resources = []
intrinsics_resolver = kwargs["intrinsics_resolver"]
if self.DeadLetterQueue:
self._validate_dlq()
lambda_function = self._construct_lambda_function()
resources.append(lambda_function)
lambda_alias = None
if self.AutoPublishAlias:
alias_name = self._get_resolved_alias_name("AutoPublishAlias", self.AutoPublishAlias, intrinsics_resolver)
lambda_version = self._construct_version(lambda_function, intrinsics_resolver=intrinsics_resolver)
lambda_alias = self._construct_alias(alias_name, lambda_function, lambda_version)
resources.append(lambda_version)
resources.append(lambda_alias)
if self.DeploymentPreference:
self._validate_deployment_preference_and_add_update_policy(kwargs.get('deployment_preference_collection',
None),
lambda_alias, intrinsics_resolver)
managed_policy_map = kwargs.get('managed_policy_map', {})
if not managed_policy_map:
raise Exception('Managed policy map is empty, but should not be.')
execution_role = None
if lambda_function.Role is None:
execution_role = self._construct_role(managed_policy_map)
lambda_function.Role = execution_role.get_runtime_attr('arn')
resources.append(execution_role)
try:
resources += self._generate_event_resources(lambda_function, execution_role, kwargs['event_resources'],
lambda_alias=lambda_alias)
except InvalidEventException as e:
raise InvalidResourceException(self.logical_id, e.message)
return resources
|
python
|
def to_cloudformation(self, **kwargs):
"""Returns the Lambda function, role, and event resources to which this SAM Function corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
"""
resources = []
intrinsics_resolver = kwargs["intrinsics_resolver"]
if self.DeadLetterQueue:
self._validate_dlq()
lambda_function = self._construct_lambda_function()
resources.append(lambda_function)
lambda_alias = None
if self.AutoPublishAlias:
alias_name = self._get_resolved_alias_name("AutoPublishAlias", self.AutoPublishAlias, intrinsics_resolver)
lambda_version = self._construct_version(lambda_function, intrinsics_resolver=intrinsics_resolver)
lambda_alias = self._construct_alias(alias_name, lambda_function, lambda_version)
resources.append(lambda_version)
resources.append(lambda_alias)
if self.DeploymentPreference:
self._validate_deployment_preference_and_add_update_policy(kwargs.get('deployment_preference_collection',
None),
lambda_alias, intrinsics_resolver)
managed_policy_map = kwargs.get('managed_policy_map', {})
if not managed_policy_map:
raise Exception('Managed policy map is empty, but should not be.')
execution_role = None
if lambda_function.Role is None:
execution_role = self._construct_role(managed_policy_map)
lambda_function.Role = execution_role.get_runtime_attr('arn')
resources.append(execution_role)
try:
resources += self._generate_event_resources(lambda_function, execution_role, kwargs['event_resources'],
lambda_alias=lambda_alias)
except InvalidEventException as e:
raise InvalidResourceException(self.logical_id, e.message)
return resources
|
[
"def",
"to_cloudformation",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"resources",
"=",
"[",
"]",
"intrinsics_resolver",
"=",
"kwargs",
"[",
"\"intrinsics_resolver\"",
"]",
"if",
"self",
".",
"DeadLetterQueue",
":",
"self",
".",
"_validate_dlq",
"(",
")",
"lambda_function",
"=",
"self",
".",
"_construct_lambda_function",
"(",
")",
"resources",
".",
"append",
"(",
"lambda_function",
")",
"lambda_alias",
"=",
"None",
"if",
"self",
".",
"AutoPublishAlias",
":",
"alias_name",
"=",
"self",
".",
"_get_resolved_alias_name",
"(",
"\"AutoPublishAlias\"",
",",
"self",
".",
"AutoPublishAlias",
",",
"intrinsics_resolver",
")",
"lambda_version",
"=",
"self",
".",
"_construct_version",
"(",
"lambda_function",
",",
"intrinsics_resolver",
"=",
"intrinsics_resolver",
")",
"lambda_alias",
"=",
"self",
".",
"_construct_alias",
"(",
"alias_name",
",",
"lambda_function",
",",
"lambda_version",
")",
"resources",
".",
"append",
"(",
"lambda_version",
")",
"resources",
".",
"append",
"(",
"lambda_alias",
")",
"if",
"self",
".",
"DeploymentPreference",
":",
"self",
".",
"_validate_deployment_preference_and_add_update_policy",
"(",
"kwargs",
".",
"get",
"(",
"'deployment_preference_collection'",
",",
"None",
")",
",",
"lambda_alias",
",",
"intrinsics_resolver",
")",
"managed_policy_map",
"=",
"kwargs",
".",
"get",
"(",
"'managed_policy_map'",
",",
"{",
"}",
")",
"if",
"not",
"managed_policy_map",
":",
"raise",
"Exception",
"(",
"'Managed policy map is empty, but should not be.'",
")",
"execution_role",
"=",
"None",
"if",
"lambda_function",
".",
"Role",
"is",
"None",
":",
"execution_role",
"=",
"self",
".",
"_construct_role",
"(",
"managed_policy_map",
")",
"lambda_function",
".",
"Role",
"=",
"execution_role",
".",
"get_runtime_attr",
"(",
"'arn'",
")",
"resources",
".",
"append",
"(",
"execution_role",
")",
"try",
":",
"resources",
"+=",
"self",
".",
"_generate_event_resources",
"(",
"lambda_function",
",",
"execution_role",
",",
"kwargs",
"[",
"'event_resources'",
"]",
",",
"lambda_alias",
"=",
"lambda_alias",
")",
"except",
"InvalidEventException",
"as",
"e",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"e",
".",
"message",
")",
"return",
"resources"
] |
Returns the Lambda function, role, and event resources to which this SAM Function corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
|
[
"Returns",
"the",
"Lambda",
"function",
"role",
"and",
"event",
"resources",
"to",
"which",
"this",
"SAM",
"Function",
"corresponds",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L80-L126
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
_get_resolved_alias_name
|
def _get_resolved_alias_name(self, property_name, original_alias_value, intrinsics_resolver):
"""
Alias names can be supplied as an intrinsic function. This method tries to extract alias name from a reference
to a parameter. If it cannot completely resolve (ie. if a complex intrinsic function was used), then this
method raises an exception. If alias name is just a plain string, it will return as is
:param dict or string original_alias_value: Value of Alias property as provided by the customer
:param samtranslator.intrinsics.resolver.IntrinsicsResolver intrinsics_resolver: Instance of the resolver that
knows how to resolve parameter references
:return string: Alias name
:raises InvalidResourceException: If the value is a complex intrinsic function that cannot be resolved
"""
# Try to resolve.
resolved_alias_name = intrinsics_resolver.resolve_parameter_refs(original_alias_value)
if not isinstance(resolved_alias_name, string_types):
# This is still a dictionary which means we are not able to completely resolve intrinsics
raise InvalidResourceException(self.logical_id,
"'{}' must be a string or a Ref to a template parameter"
.format(property_name))
return resolved_alias_name
|
python
|
def _get_resolved_alias_name(self, property_name, original_alias_value, intrinsics_resolver):
"""
Alias names can be supplied as an intrinsic function. This method tries to extract alias name from a reference
to a parameter. If it cannot completely resolve (ie. if a complex intrinsic function was used), then this
method raises an exception. If alias name is just a plain string, it will return as is
:param dict or string original_alias_value: Value of Alias property as provided by the customer
:param samtranslator.intrinsics.resolver.IntrinsicsResolver intrinsics_resolver: Instance of the resolver that
knows how to resolve parameter references
:return string: Alias name
:raises InvalidResourceException: If the value is a complex intrinsic function that cannot be resolved
"""
# Try to resolve.
resolved_alias_name = intrinsics_resolver.resolve_parameter_refs(original_alias_value)
if not isinstance(resolved_alias_name, string_types):
# This is still a dictionary which means we are not able to completely resolve intrinsics
raise InvalidResourceException(self.logical_id,
"'{}' must be a string or a Ref to a template parameter"
.format(property_name))
return resolved_alias_name
|
[
"def",
"_get_resolved_alias_name",
"(",
"self",
",",
"property_name",
",",
"original_alias_value",
",",
"intrinsics_resolver",
")",
":",
"# Try to resolve.",
"resolved_alias_name",
"=",
"intrinsics_resolver",
".",
"resolve_parameter_refs",
"(",
"original_alias_value",
")",
"if",
"not",
"isinstance",
"(",
"resolved_alias_name",
",",
"string_types",
")",
":",
"# This is still a dictionary which means we are not able to completely resolve intrinsics",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"'{}' must be a string or a Ref to a template parameter\"",
".",
"format",
"(",
"property_name",
")",
")",
"return",
"resolved_alias_name"
] |
Alias names can be supplied as an intrinsic function. This method tries to extract alias name from a reference
to a parameter. If it cannot completely resolve (ie. if a complex intrinsic function was used), then this
method raises an exception. If alias name is just a plain string, it will return as is
:param dict or string original_alias_value: Value of Alias property as provided by the customer
:param samtranslator.intrinsics.resolver.IntrinsicsResolver intrinsics_resolver: Instance of the resolver that
knows how to resolve parameter references
:return string: Alias name
:raises InvalidResourceException: If the value is a complex intrinsic function that cannot be resolved
|
[
"Alias",
"names",
"can",
"be",
"supplied",
"as",
"an",
"intrinsic",
"function",
".",
"This",
"method",
"tries",
"to",
"extract",
"alias",
"name",
"from",
"a",
"reference",
"to",
"a",
"parameter",
".",
"If",
"it",
"cannot",
"completely",
"resolve",
"(",
"ie",
".",
"if",
"a",
"complex",
"intrinsic",
"function",
"was",
"used",
")",
"then",
"this",
"method",
"raises",
"an",
"exception",
".",
"If",
"alias",
"name",
"is",
"just",
"a",
"plain",
"string",
"it",
"will",
"return",
"as",
"is"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L128-L150
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
_construct_lambda_function
|
def _construct_lambda_function(self):
"""Constructs and returns the Lambda function.
:returns: a list containing the Lambda function and execution role resources
:rtype: list
"""
lambda_function = LambdaFunction(self.logical_id, depends_on=self.depends_on,
attributes=self.resource_attributes)
if self.FunctionName:
lambda_function.FunctionName = self.FunctionName
lambda_function.Handler = self.Handler
lambda_function.Runtime = self.Runtime
lambda_function.Description = self.Description
lambda_function.MemorySize = self.MemorySize
lambda_function.Timeout = self.Timeout
lambda_function.VpcConfig = self.VpcConfig
lambda_function.Role = self.Role
lambda_function.Environment = self.Environment
lambda_function.Code = self._construct_code_dict()
lambda_function.KmsKeyArn = self.KmsKeyArn
lambda_function.ReservedConcurrentExecutions = self.ReservedConcurrentExecutions
lambda_function.Tags = self._construct_tag_list(self.Tags)
lambda_function.Layers = self.Layers
if self.Tracing:
lambda_function.TracingConfig = {"Mode": self.Tracing}
if self.DeadLetterQueue:
lambda_function.DeadLetterConfig = {"TargetArn": self.DeadLetterQueue['TargetArn']}
return lambda_function
|
python
|
def _construct_lambda_function(self):
"""Constructs and returns the Lambda function.
:returns: a list containing the Lambda function and execution role resources
:rtype: list
"""
lambda_function = LambdaFunction(self.logical_id, depends_on=self.depends_on,
attributes=self.resource_attributes)
if self.FunctionName:
lambda_function.FunctionName = self.FunctionName
lambda_function.Handler = self.Handler
lambda_function.Runtime = self.Runtime
lambda_function.Description = self.Description
lambda_function.MemorySize = self.MemorySize
lambda_function.Timeout = self.Timeout
lambda_function.VpcConfig = self.VpcConfig
lambda_function.Role = self.Role
lambda_function.Environment = self.Environment
lambda_function.Code = self._construct_code_dict()
lambda_function.KmsKeyArn = self.KmsKeyArn
lambda_function.ReservedConcurrentExecutions = self.ReservedConcurrentExecutions
lambda_function.Tags = self._construct_tag_list(self.Tags)
lambda_function.Layers = self.Layers
if self.Tracing:
lambda_function.TracingConfig = {"Mode": self.Tracing}
if self.DeadLetterQueue:
lambda_function.DeadLetterConfig = {"TargetArn": self.DeadLetterQueue['TargetArn']}
return lambda_function
|
[
"def",
"_construct_lambda_function",
"(",
"self",
")",
":",
"lambda_function",
"=",
"LambdaFunction",
"(",
"self",
".",
"logical_id",
",",
"depends_on",
"=",
"self",
".",
"depends_on",
",",
"attributes",
"=",
"self",
".",
"resource_attributes",
")",
"if",
"self",
".",
"FunctionName",
":",
"lambda_function",
".",
"FunctionName",
"=",
"self",
".",
"FunctionName",
"lambda_function",
".",
"Handler",
"=",
"self",
".",
"Handler",
"lambda_function",
".",
"Runtime",
"=",
"self",
".",
"Runtime",
"lambda_function",
".",
"Description",
"=",
"self",
".",
"Description",
"lambda_function",
".",
"MemorySize",
"=",
"self",
".",
"MemorySize",
"lambda_function",
".",
"Timeout",
"=",
"self",
".",
"Timeout",
"lambda_function",
".",
"VpcConfig",
"=",
"self",
".",
"VpcConfig",
"lambda_function",
".",
"Role",
"=",
"self",
".",
"Role",
"lambda_function",
".",
"Environment",
"=",
"self",
".",
"Environment",
"lambda_function",
".",
"Code",
"=",
"self",
".",
"_construct_code_dict",
"(",
")",
"lambda_function",
".",
"KmsKeyArn",
"=",
"self",
".",
"KmsKeyArn",
"lambda_function",
".",
"ReservedConcurrentExecutions",
"=",
"self",
".",
"ReservedConcurrentExecutions",
"lambda_function",
".",
"Tags",
"=",
"self",
".",
"_construct_tag_list",
"(",
"self",
".",
"Tags",
")",
"lambda_function",
".",
"Layers",
"=",
"self",
".",
"Layers",
"if",
"self",
".",
"Tracing",
":",
"lambda_function",
".",
"TracingConfig",
"=",
"{",
"\"Mode\"",
":",
"self",
".",
"Tracing",
"}",
"if",
"self",
".",
"DeadLetterQueue",
":",
"lambda_function",
".",
"DeadLetterConfig",
"=",
"{",
"\"TargetArn\"",
":",
"self",
".",
"DeadLetterQueue",
"[",
"'TargetArn'",
"]",
"}",
"return",
"lambda_function"
] |
Constructs and returns the Lambda function.
:returns: a list containing the Lambda function and execution role resources
:rtype: list
|
[
"Constructs",
"and",
"returns",
"the",
"Lambda",
"function",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L152-L184
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
_construct_role
|
def _construct_role(self, managed_policy_map):
"""Constructs a Lambda execution role based on this SAM function's Policies property.
:returns: the generated IAM Role
:rtype: model.iam.IAMRole
"""
execution_role = IAMRole(self.logical_id + 'Role', attributes=self.get_passthrough_resource_attributes())
execution_role.AssumeRolePolicyDocument = IAMRolePolicies.lambda_assume_role_policy()
managed_policy_arns = [ArnGenerator.generate_aws_managed_policy_arn('service-role/AWSLambdaBasicExecutionRole')]
if self.Tracing:
managed_policy_arns.append(ArnGenerator.generate_aws_managed_policy_arn('AWSXrayWriteOnlyAccess'))
function_policies = FunctionPolicies({"Policies": self.Policies},
# No support for policy templates in the "core"
policy_template_processor=None)
policy_documents = []
if self.DeadLetterQueue:
policy_documents.append(IAMRolePolicies.dead_letter_queue_policy(
self.dead_letter_queue_policy_actions[self.DeadLetterQueue['Type']],
self.DeadLetterQueue['TargetArn']))
for index, policy_entry in enumerate(function_policies.get()):
if policy_entry.type is PolicyTypes.POLICY_STATEMENT:
policy_documents.append({
'PolicyName': execution_role.logical_id + 'Policy' + str(index),
'PolicyDocument': policy_entry.data
})
elif policy_entry.type is PolicyTypes.MANAGED_POLICY:
# There are three options:
# Managed Policy Name (string): Try to convert to Managed Policy ARN
# Managed Policy Arn (string): Insert it directly into the list
# Intrinsic Function (dict): Insert it directly into the list
#
# When you insert into managed_policy_arns list, de-dupe to prevent same ARN from showing up twice
#
policy_arn = policy_entry.data
if isinstance(policy_entry.data, string_types) and policy_entry.data in managed_policy_map:
policy_arn = managed_policy_map[policy_entry.data]
# De-Duplicate managed policy arns before inserting. Mainly useful
# when customer specifies a managed policy which is already inserted
# by SAM, such as AWSLambdaBasicExecutionRole
if policy_arn not in managed_policy_arns:
managed_policy_arns.append(policy_arn)
else:
# Policy Templates are not supported here in the "core"
raise InvalidResourceException(
self.logical_id,
"Policy at index {} in the 'Policies' property is not valid".format(index))
execution_role.ManagedPolicyArns = list(managed_policy_arns)
execution_role.Policies = policy_documents or None
execution_role.PermissionsBoundary = self.PermissionsBoundary
return execution_role
|
python
|
def _construct_role(self, managed_policy_map):
"""Constructs a Lambda execution role based on this SAM function's Policies property.
:returns: the generated IAM Role
:rtype: model.iam.IAMRole
"""
execution_role = IAMRole(self.logical_id + 'Role', attributes=self.get_passthrough_resource_attributes())
execution_role.AssumeRolePolicyDocument = IAMRolePolicies.lambda_assume_role_policy()
managed_policy_arns = [ArnGenerator.generate_aws_managed_policy_arn('service-role/AWSLambdaBasicExecutionRole')]
if self.Tracing:
managed_policy_arns.append(ArnGenerator.generate_aws_managed_policy_arn('AWSXrayWriteOnlyAccess'))
function_policies = FunctionPolicies({"Policies": self.Policies},
# No support for policy templates in the "core"
policy_template_processor=None)
policy_documents = []
if self.DeadLetterQueue:
policy_documents.append(IAMRolePolicies.dead_letter_queue_policy(
self.dead_letter_queue_policy_actions[self.DeadLetterQueue['Type']],
self.DeadLetterQueue['TargetArn']))
for index, policy_entry in enumerate(function_policies.get()):
if policy_entry.type is PolicyTypes.POLICY_STATEMENT:
policy_documents.append({
'PolicyName': execution_role.logical_id + 'Policy' + str(index),
'PolicyDocument': policy_entry.data
})
elif policy_entry.type is PolicyTypes.MANAGED_POLICY:
# There are three options:
# Managed Policy Name (string): Try to convert to Managed Policy ARN
# Managed Policy Arn (string): Insert it directly into the list
# Intrinsic Function (dict): Insert it directly into the list
#
# When you insert into managed_policy_arns list, de-dupe to prevent same ARN from showing up twice
#
policy_arn = policy_entry.data
if isinstance(policy_entry.data, string_types) and policy_entry.data in managed_policy_map:
policy_arn = managed_policy_map[policy_entry.data]
# De-Duplicate managed policy arns before inserting. Mainly useful
# when customer specifies a managed policy which is already inserted
# by SAM, such as AWSLambdaBasicExecutionRole
if policy_arn not in managed_policy_arns:
managed_policy_arns.append(policy_arn)
else:
# Policy Templates are not supported here in the "core"
raise InvalidResourceException(
self.logical_id,
"Policy at index {} in the 'Policies' property is not valid".format(index))
execution_role.ManagedPolicyArns = list(managed_policy_arns)
execution_role.Policies = policy_documents or None
execution_role.PermissionsBoundary = self.PermissionsBoundary
return execution_role
|
[
"def",
"_construct_role",
"(",
"self",
",",
"managed_policy_map",
")",
":",
"execution_role",
"=",
"IAMRole",
"(",
"self",
".",
"logical_id",
"+",
"'Role'",
",",
"attributes",
"=",
"self",
".",
"get_passthrough_resource_attributes",
"(",
")",
")",
"execution_role",
".",
"AssumeRolePolicyDocument",
"=",
"IAMRolePolicies",
".",
"lambda_assume_role_policy",
"(",
")",
"managed_policy_arns",
"=",
"[",
"ArnGenerator",
".",
"generate_aws_managed_policy_arn",
"(",
"'service-role/AWSLambdaBasicExecutionRole'",
")",
"]",
"if",
"self",
".",
"Tracing",
":",
"managed_policy_arns",
".",
"append",
"(",
"ArnGenerator",
".",
"generate_aws_managed_policy_arn",
"(",
"'AWSXrayWriteOnlyAccess'",
")",
")",
"function_policies",
"=",
"FunctionPolicies",
"(",
"{",
"\"Policies\"",
":",
"self",
".",
"Policies",
"}",
",",
"# No support for policy templates in the \"core\"",
"policy_template_processor",
"=",
"None",
")",
"policy_documents",
"=",
"[",
"]",
"if",
"self",
".",
"DeadLetterQueue",
":",
"policy_documents",
".",
"append",
"(",
"IAMRolePolicies",
".",
"dead_letter_queue_policy",
"(",
"self",
".",
"dead_letter_queue_policy_actions",
"[",
"self",
".",
"DeadLetterQueue",
"[",
"'Type'",
"]",
"]",
",",
"self",
".",
"DeadLetterQueue",
"[",
"'TargetArn'",
"]",
")",
")",
"for",
"index",
",",
"policy_entry",
"in",
"enumerate",
"(",
"function_policies",
".",
"get",
"(",
")",
")",
":",
"if",
"policy_entry",
".",
"type",
"is",
"PolicyTypes",
".",
"POLICY_STATEMENT",
":",
"policy_documents",
".",
"append",
"(",
"{",
"'PolicyName'",
":",
"execution_role",
".",
"logical_id",
"+",
"'Policy'",
"+",
"str",
"(",
"index",
")",
",",
"'PolicyDocument'",
":",
"policy_entry",
".",
"data",
"}",
")",
"elif",
"policy_entry",
".",
"type",
"is",
"PolicyTypes",
".",
"MANAGED_POLICY",
":",
"# There are three options:",
"# Managed Policy Name (string): Try to convert to Managed Policy ARN",
"# Managed Policy Arn (string): Insert it directly into the list",
"# Intrinsic Function (dict): Insert it directly into the list",
"#",
"# When you insert into managed_policy_arns list, de-dupe to prevent same ARN from showing up twice",
"#",
"policy_arn",
"=",
"policy_entry",
".",
"data",
"if",
"isinstance",
"(",
"policy_entry",
".",
"data",
",",
"string_types",
")",
"and",
"policy_entry",
".",
"data",
"in",
"managed_policy_map",
":",
"policy_arn",
"=",
"managed_policy_map",
"[",
"policy_entry",
".",
"data",
"]",
"# De-Duplicate managed policy arns before inserting. Mainly useful",
"# when customer specifies a managed policy which is already inserted",
"# by SAM, such as AWSLambdaBasicExecutionRole",
"if",
"policy_arn",
"not",
"in",
"managed_policy_arns",
":",
"managed_policy_arns",
".",
"append",
"(",
"policy_arn",
")",
"else",
":",
"# Policy Templates are not supported here in the \"core\"",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Policy at index {} in the 'Policies' property is not valid\"",
".",
"format",
"(",
"index",
")",
")",
"execution_role",
".",
"ManagedPolicyArns",
"=",
"list",
"(",
"managed_policy_arns",
")",
"execution_role",
".",
"Policies",
"=",
"policy_documents",
"or",
"None",
"execution_role",
".",
"PermissionsBoundary",
"=",
"self",
".",
"PermissionsBoundary",
"return",
"execution_role"
] |
Constructs a Lambda execution role based on this SAM function's Policies property.
:returns: the generated IAM Role
:rtype: model.iam.IAMRole
|
[
"Constructs",
"a",
"Lambda",
"execution",
"role",
"based",
"on",
"this",
"SAM",
"function",
"s",
"Policies",
"property",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L186-L246
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
_validate_dlq
|
def _validate_dlq(self):
"""Validates whether the DeadLetterQueue LogicalId is validation
:raise: InvalidResourceException
"""
# Validate required logical ids
valid_dlq_types = str(list(self.dead_letter_queue_policy_actions.keys()))
if not self.DeadLetterQueue.get('Type') or not self.DeadLetterQueue.get('TargetArn'):
raise InvalidResourceException(self.logical_id,
"'DeadLetterQueue' requires Type and TargetArn properties to be specified"
.format(valid_dlq_types))
# Validate required Types
if not self.DeadLetterQueue['Type'] in self.dead_letter_queue_policy_actions:
raise InvalidResourceException(self.logical_id,
"'DeadLetterQueue' requires Type of {}".format(valid_dlq_types))
|
python
|
def _validate_dlq(self):
"""Validates whether the DeadLetterQueue LogicalId is validation
:raise: InvalidResourceException
"""
# Validate required logical ids
valid_dlq_types = str(list(self.dead_letter_queue_policy_actions.keys()))
if not self.DeadLetterQueue.get('Type') or not self.DeadLetterQueue.get('TargetArn'):
raise InvalidResourceException(self.logical_id,
"'DeadLetterQueue' requires Type and TargetArn properties to be specified"
.format(valid_dlq_types))
# Validate required Types
if not self.DeadLetterQueue['Type'] in self.dead_letter_queue_policy_actions:
raise InvalidResourceException(self.logical_id,
"'DeadLetterQueue' requires Type of {}".format(valid_dlq_types))
|
[
"def",
"_validate_dlq",
"(",
"self",
")",
":",
"# Validate required logical ids",
"valid_dlq_types",
"=",
"str",
"(",
"list",
"(",
"self",
".",
"dead_letter_queue_policy_actions",
".",
"keys",
"(",
")",
")",
")",
"if",
"not",
"self",
".",
"DeadLetterQueue",
".",
"get",
"(",
"'Type'",
")",
"or",
"not",
"self",
".",
"DeadLetterQueue",
".",
"get",
"(",
"'TargetArn'",
")",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"'DeadLetterQueue' requires Type and TargetArn properties to be specified\"",
".",
"format",
"(",
"valid_dlq_types",
")",
")",
"# Validate required Types",
"if",
"not",
"self",
".",
"DeadLetterQueue",
"[",
"'Type'",
"]",
"in",
"self",
".",
"dead_letter_queue_policy_actions",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"'DeadLetterQueue' requires Type of {}\"",
".",
"format",
"(",
"valid_dlq_types",
")",
")"
] |
Validates whether the DeadLetterQueue LogicalId is validation
:raise: InvalidResourceException
|
[
"Validates",
"whether",
"the",
"DeadLetterQueue",
"LogicalId",
"is",
"validation",
":",
"raise",
":",
"InvalidResourceException"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L248-L262
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
_generate_event_resources
|
def _generate_event_resources(self, lambda_function, execution_role, event_resources, lambda_alias=None):
"""Generates and returns the resources associated with this function's events.
:param model.lambda_.LambdaFunction lambda_function: generated Lambda function
:param iam.IAMRole execution_role: generated Lambda execution role
:param implicit_api: Global Implicit API resource where the implicit APIs get attached to, if necessary
:param implicit_api_stage: Global implicit API stage resource where implicit APIs get attached to, if necessary
:param event_resources: All the event sources associated with this Lambda function
:param model.lambda_.LambdaAlias lambda_alias: Optional Lambda Alias resource if we want to connect the
event sources to this alias
:returns: a list containing the function's event resources
:rtype: list
"""
resources = []
if self.Events:
for logical_id, event_dict in self.Events.items():
try:
eventsource = self.event_resolver.resolve_resource_type(event_dict).from_dict(
lambda_function.logical_id + logical_id, event_dict, logical_id)
except TypeError as e:
raise InvalidEventException(logical_id, "{}".format(e))
kwargs = {
# When Alias is provided, connect all event sources to the alias and *not* the function
'function': lambda_alias or lambda_function,
'role': execution_role,
}
for name, resource in event_resources[logical_id].items():
kwargs[name] = resource
resources += eventsource.to_cloudformation(**kwargs)
return resources
|
python
|
def _generate_event_resources(self, lambda_function, execution_role, event_resources, lambda_alias=None):
"""Generates and returns the resources associated with this function's events.
:param model.lambda_.LambdaFunction lambda_function: generated Lambda function
:param iam.IAMRole execution_role: generated Lambda execution role
:param implicit_api: Global Implicit API resource where the implicit APIs get attached to, if necessary
:param implicit_api_stage: Global implicit API stage resource where implicit APIs get attached to, if necessary
:param event_resources: All the event sources associated with this Lambda function
:param model.lambda_.LambdaAlias lambda_alias: Optional Lambda Alias resource if we want to connect the
event sources to this alias
:returns: a list containing the function's event resources
:rtype: list
"""
resources = []
if self.Events:
for logical_id, event_dict in self.Events.items():
try:
eventsource = self.event_resolver.resolve_resource_type(event_dict).from_dict(
lambda_function.logical_id + logical_id, event_dict, logical_id)
except TypeError as e:
raise InvalidEventException(logical_id, "{}".format(e))
kwargs = {
# When Alias is provided, connect all event sources to the alias and *not* the function
'function': lambda_alias or lambda_function,
'role': execution_role,
}
for name, resource in event_resources[logical_id].items():
kwargs[name] = resource
resources += eventsource.to_cloudformation(**kwargs)
return resources
|
[
"def",
"_generate_event_resources",
"(",
"self",
",",
"lambda_function",
",",
"execution_role",
",",
"event_resources",
",",
"lambda_alias",
"=",
"None",
")",
":",
"resources",
"=",
"[",
"]",
"if",
"self",
".",
"Events",
":",
"for",
"logical_id",
",",
"event_dict",
"in",
"self",
".",
"Events",
".",
"items",
"(",
")",
":",
"try",
":",
"eventsource",
"=",
"self",
".",
"event_resolver",
".",
"resolve_resource_type",
"(",
"event_dict",
")",
".",
"from_dict",
"(",
"lambda_function",
".",
"logical_id",
"+",
"logical_id",
",",
"event_dict",
",",
"logical_id",
")",
"except",
"TypeError",
"as",
"e",
":",
"raise",
"InvalidEventException",
"(",
"logical_id",
",",
"\"{}\"",
".",
"format",
"(",
"e",
")",
")",
"kwargs",
"=",
"{",
"# When Alias is provided, connect all event sources to the alias and *not* the function",
"'function'",
":",
"lambda_alias",
"or",
"lambda_function",
",",
"'role'",
":",
"execution_role",
",",
"}",
"for",
"name",
",",
"resource",
"in",
"event_resources",
"[",
"logical_id",
"]",
".",
"items",
"(",
")",
":",
"kwargs",
"[",
"name",
"]",
"=",
"resource",
"resources",
"+=",
"eventsource",
".",
"to_cloudformation",
"(",
"*",
"*",
"kwargs",
")",
"return",
"resources"
] |
Generates and returns the resources associated with this function's events.
:param model.lambda_.LambdaFunction lambda_function: generated Lambda function
:param iam.IAMRole execution_role: generated Lambda execution role
:param implicit_api: Global Implicit API resource where the implicit APIs get attached to, if necessary
:param implicit_api_stage: Global implicit API stage resource where implicit APIs get attached to, if necessary
:param event_resources: All the event sources associated with this Lambda function
:param model.lambda_.LambdaAlias lambda_alias: Optional Lambda Alias resource if we want to connect the
event sources to this alias
:returns: a list containing the function's event resources
:rtype: list
|
[
"Generates",
"and",
"returns",
"the",
"resources",
"associated",
"with",
"this",
"function",
"s",
"events",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L276-L309
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
_construct_version
|
def _construct_version(self, function, intrinsics_resolver):
"""Constructs a Lambda Version resource that will be auto-published when CodeUri of the function changes.
Old versions will not be deleted without a direct reference from the CloudFormation template.
:param model.lambda_.LambdaFunction function: Lambda function object that is being connected to a version
:param model.intrinsics.resolver.IntrinsicsResolver intrinsics_resolver: Class that can help resolve
references to parameters present in CodeUri. It is a common usecase to set S3Key of Code to be a
template parameter. Need to resolve the values otherwise we will never detect a change in Code dict
:return: Lambda function Version resource
"""
code_dict = function.Code
if not code_dict:
raise ValueError("Lambda function code must be a valid non-empty dictionary")
if not intrinsics_resolver:
raise ValueError("intrinsics_resolver is required for versions creation")
# Resolve references to template parameters before creating hash. This will *not* resolve all intrinsics
# because we cannot resolve runtime values like Arn of a resource. For purposes of detecting changes, this
# is good enough. Here is why:
#
# When using intrinsic functions there are two cases when has must change:
# - Value of the template parameter changes
# - (or) LogicalId of a referenced resource changes ie. !GetAtt NewResource.Arn
#
# Later case will already change the hash because some value in the Code dictionary changes. We handle the
# first case by resolving references to template parameters. It is okay even if these references are
# present inside another intrinsic such as !Join. The resolver will replace the reference with the parameter's
# value and keep all other parts of !Join identical. This will still trigger a change in the hash.
code_dict = intrinsics_resolver.resolve_parameter_refs(code_dict)
# Construct the LogicalID of Lambda version by appending 10 characters of SHA of CodeUri. This is necessary
# to trigger creation of a new version every time code location changes. Since logicalId changes, CloudFormation
# will drop the old version and create a new one for us. We set a DeletionPolicy on the version resource to
# prevent CloudFormation from actually deleting the underlying version resource
#
# SHA Collisions: For purposes of triggering a new update, we are concerned about just the difference previous
# and next hashes. The chances that two subsequent hashes collide is fairly low.
prefix = "{id}Version".format(id=self.logical_id)
logical_id = logical_id_generator.LogicalIdGenerator(prefix, code_dict).gen()
attributes = self.get_passthrough_resource_attributes()
if attributes is None:
attributes = {}
attributes["DeletionPolicy"] = "Retain"
lambda_version = LambdaVersion(logical_id=logical_id, attributes=attributes)
lambda_version.FunctionName = function.get_runtime_attr('name')
lambda_version.Description = self.VersionDescription
return lambda_version
|
python
|
def _construct_version(self, function, intrinsics_resolver):
"""Constructs a Lambda Version resource that will be auto-published when CodeUri of the function changes.
Old versions will not be deleted without a direct reference from the CloudFormation template.
:param model.lambda_.LambdaFunction function: Lambda function object that is being connected to a version
:param model.intrinsics.resolver.IntrinsicsResolver intrinsics_resolver: Class that can help resolve
references to parameters present in CodeUri. It is a common usecase to set S3Key of Code to be a
template parameter. Need to resolve the values otherwise we will never detect a change in Code dict
:return: Lambda function Version resource
"""
code_dict = function.Code
if not code_dict:
raise ValueError("Lambda function code must be a valid non-empty dictionary")
if not intrinsics_resolver:
raise ValueError("intrinsics_resolver is required for versions creation")
# Resolve references to template parameters before creating hash. This will *not* resolve all intrinsics
# because we cannot resolve runtime values like Arn of a resource. For purposes of detecting changes, this
# is good enough. Here is why:
#
# When using intrinsic functions there are two cases when has must change:
# - Value of the template parameter changes
# - (or) LogicalId of a referenced resource changes ie. !GetAtt NewResource.Arn
#
# Later case will already change the hash because some value in the Code dictionary changes. We handle the
# first case by resolving references to template parameters. It is okay even if these references are
# present inside another intrinsic such as !Join. The resolver will replace the reference with the parameter's
# value and keep all other parts of !Join identical. This will still trigger a change in the hash.
code_dict = intrinsics_resolver.resolve_parameter_refs(code_dict)
# Construct the LogicalID of Lambda version by appending 10 characters of SHA of CodeUri. This is necessary
# to trigger creation of a new version every time code location changes. Since logicalId changes, CloudFormation
# will drop the old version and create a new one for us. We set a DeletionPolicy on the version resource to
# prevent CloudFormation from actually deleting the underlying version resource
#
# SHA Collisions: For purposes of triggering a new update, we are concerned about just the difference previous
# and next hashes. The chances that two subsequent hashes collide is fairly low.
prefix = "{id}Version".format(id=self.logical_id)
logical_id = logical_id_generator.LogicalIdGenerator(prefix, code_dict).gen()
attributes = self.get_passthrough_resource_attributes()
if attributes is None:
attributes = {}
attributes["DeletionPolicy"] = "Retain"
lambda_version = LambdaVersion(logical_id=logical_id, attributes=attributes)
lambda_version.FunctionName = function.get_runtime_attr('name')
lambda_version.Description = self.VersionDescription
return lambda_version
|
[
"def",
"_construct_version",
"(",
"self",
",",
"function",
",",
"intrinsics_resolver",
")",
":",
"code_dict",
"=",
"function",
".",
"Code",
"if",
"not",
"code_dict",
":",
"raise",
"ValueError",
"(",
"\"Lambda function code must be a valid non-empty dictionary\"",
")",
"if",
"not",
"intrinsics_resolver",
":",
"raise",
"ValueError",
"(",
"\"intrinsics_resolver is required for versions creation\"",
")",
"# Resolve references to template parameters before creating hash. This will *not* resolve all intrinsics",
"# because we cannot resolve runtime values like Arn of a resource. For purposes of detecting changes, this",
"# is good enough. Here is why:",
"#",
"# When using intrinsic functions there are two cases when has must change:",
"# - Value of the template parameter changes",
"# - (or) LogicalId of a referenced resource changes ie. !GetAtt NewResource.Arn",
"#",
"# Later case will already change the hash because some value in the Code dictionary changes. We handle the",
"# first case by resolving references to template parameters. It is okay even if these references are",
"# present inside another intrinsic such as !Join. The resolver will replace the reference with the parameter's",
"# value and keep all other parts of !Join identical. This will still trigger a change in the hash.",
"code_dict",
"=",
"intrinsics_resolver",
".",
"resolve_parameter_refs",
"(",
"code_dict",
")",
"# Construct the LogicalID of Lambda version by appending 10 characters of SHA of CodeUri. This is necessary",
"# to trigger creation of a new version every time code location changes. Since logicalId changes, CloudFormation",
"# will drop the old version and create a new one for us. We set a DeletionPolicy on the version resource to",
"# prevent CloudFormation from actually deleting the underlying version resource",
"#",
"# SHA Collisions: For purposes of triggering a new update, we are concerned about just the difference previous",
"# and next hashes. The chances that two subsequent hashes collide is fairly low.",
"prefix",
"=",
"\"{id}Version\"",
".",
"format",
"(",
"id",
"=",
"self",
".",
"logical_id",
")",
"logical_id",
"=",
"logical_id_generator",
".",
"LogicalIdGenerator",
"(",
"prefix",
",",
"code_dict",
")",
".",
"gen",
"(",
")",
"attributes",
"=",
"self",
".",
"get_passthrough_resource_attributes",
"(",
")",
"if",
"attributes",
"is",
"None",
":",
"attributes",
"=",
"{",
"}",
"attributes",
"[",
"\"DeletionPolicy\"",
"]",
"=",
"\"Retain\"",
"lambda_version",
"=",
"LambdaVersion",
"(",
"logical_id",
"=",
"logical_id",
",",
"attributes",
"=",
"attributes",
")",
"lambda_version",
".",
"FunctionName",
"=",
"function",
".",
"get_runtime_attr",
"(",
"'name'",
")",
"lambda_version",
".",
"Description",
"=",
"self",
".",
"VersionDescription",
"return",
"lambda_version"
] |
Constructs a Lambda Version resource that will be auto-published when CodeUri of the function changes.
Old versions will not be deleted without a direct reference from the CloudFormation template.
:param model.lambda_.LambdaFunction function: Lambda function object that is being connected to a version
:param model.intrinsics.resolver.IntrinsicsResolver intrinsics_resolver: Class that can help resolve
references to parameters present in CodeUri. It is a common usecase to set S3Key of Code to be a
template parameter. Need to resolve the values otherwise we will never detect a change in Code dict
:return: Lambda function Version resource
|
[
"Constructs",
"a",
"Lambda",
"Version",
"resource",
"that",
"will",
"be",
"auto",
"-",
"published",
"when",
"CodeUri",
"of",
"the",
"function",
"changes",
".",
"Old",
"versions",
"will",
"not",
"be",
"deleted",
"without",
"a",
"direct",
"reference",
"from",
"the",
"CloudFormation",
"template",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L321-L371
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
_construct_alias
|
def _construct_alias(self, name, function, version):
"""Constructs a Lambda Alias for the given function and pointing to the given version
:param string name: Name of the alias
:param model.lambda_.LambdaFunction function: Lambda function object to associate the alias with
:param model.lambda_.LambdaVersion version: Lambda version object to associate the alias with
:return: Lambda alias object
:rtype model.lambda_.LambdaAlias
"""
if not name:
raise InvalidResourceException(self.logical_id, "Alias name is required to create an alias")
logical_id = "{id}Alias{suffix}".format(id=function.logical_id, suffix=name)
alias = LambdaAlias(logical_id=logical_id, attributes=self.get_passthrough_resource_attributes())
alias.Name = name
alias.FunctionName = function.get_runtime_attr('name')
alias.FunctionVersion = version.get_runtime_attr("version")
return alias
|
python
|
def _construct_alias(self, name, function, version):
"""Constructs a Lambda Alias for the given function and pointing to the given version
:param string name: Name of the alias
:param model.lambda_.LambdaFunction function: Lambda function object to associate the alias with
:param model.lambda_.LambdaVersion version: Lambda version object to associate the alias with
:return: Lambda alias object
:rtype model.lambda_.LambdaAlias
"""
if not name:
raise InvalidResourceException(self.logical_id, "Alias name is required to create an alias")
logical_id = "{id}Alias{suffix}".format(id=function.logical_id, suffix=name)
alias = LambdaAlias(logical_id=logical_id, attributes=self.get_passthrough_resource_attributes())
alias.Name = name
alias.FunctionName = function.get_runtime_attr('name')
alias.FunctionVersion = version.get_runtime_attr("version")
return alias
|
[
"def",
"_construct_alias",
"(",
"self",
",",
"name",
",",
"function",
",",
"version",
")",
":",
"if",
"not",
"name",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"Alias name is required to create an alias\"",
")",
"logical_id",
"=",
"\"{id}Alias{suffix}\"",
".",
"format",
"(",
"id",
"=",
"function",
".",
"logical_id",
",",
"suffix",
"=",
"name",
")",
"alias",
"=",
"LambdaAlias",
"(",
"logical_id",
"=",
"logical_id",
",",
"attributes",
"=",
"self",
".",
"get_passthrough_resource_attributes",
"(",
")",
")",
"alias",
".",
"Name",
"=",
"name",
"alias",
".",
"FunctionName",
"=",
"function",
".",
"get_runtime_attr",
"(",
"'name'",
")",
"alias",
".",
"FunctionVersion",
"=",
"version",
".",
"get_runtime_attr",
"(",
"\"version\"",
")",
"return",
"alias"
] |
Constructs a Lambda Alias for the given function and pointing to the given version
:param string name: Name of the alias
:param model.lambda_.LambdaFunction function: Lambda function object to associate the alias with
:param model.lambda_.LambdaVersion version: Lambda version object to associate the alias with
:return: Lambda alias object
:rtype model.lambda_.LambdaAlias
|
[
"Constructs",
"a",
"Lambda",
"Alias",
"for",
"the",
"given",
"function",
"and",
"pointing",
"to",
"the",
"given",
"version"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L373-L392
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
SamApi.to_cloudformation
|
def to_cloudformation(self, **kwargs):
"""Returns the API Gateway RestApi, Deployment, and Stage to which this SAM Api corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
"""
resources = []
api_generator = ApiGenerator(self.logical_id,
self.CacheClusterEnabled,
self.CacheClusterSize,
self.Variables,
self.depends_on,
self.DefinitionBody,
self.DefinitionUri,
self.Name,
self.StageName,
endpoint_configuration=self.EndpointConfiguration,
method_settings=self.MethodSettings,
binary_media=self.BinaryMediaTypes,
minimum_compression_size=self.MinimumCompressionSize,
cors=self.Cors,
auth=self.Auth,
gateway_responses=self.GatewayResponses,
access_log_setting=self.AccessLogSetting,
canary_setting=self.CanarySetting,
tracing_enabled=self.TracingEnabled,
resource_attributes=self.resource_attributes,
passthrough_resource_attributes=self.get_passthrough_resource_attributes())
rest_api, deployment, stage, permissions = api_generator.to_cloudformation()
resources.extend([rest_api, deployment, stage])
resources.extend(permissions)
return resources
|
python
|
def to_cloudformation(self, **kwargs):
"""Returns the API Gateway RestApi, Deployment, and Stage to which this SAM Api corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
"""
resources = []
api_generator = ApiGenerator(self.logical_id,
self.CacheClusterEnabled,
self.CacheClusterSize,
self.Variables,
self.depends_on,
self.DefinitionBody,
self.DefinitionUri,
self.Name,
self.StageName,
endpoint_configuration=self.EndpointConfiguration,
method_settings=self.MethodSettings,
binary_media=self.BinaryMediaTypes,
minimum_compression_size=self.MinimumCompressionSize,
cors=self.Cors,
auth=self.Auth,
gateway_responses=self.GatewayResponses,
access_log_setting=self.AccessLogSetting,
canary_setting=self.CanarySetting,
tracing_enabled=self.TracingEnabled,
resource_attributes=self.resource_attributes,
passthrough_resource_attributes=self.get_passthrough_resource_attributes())
rest_api, deployment, stage, permissions = api_generator.to_cloudformation()
resources.extend([rest_api, deployment, stage])
resources.extend(permissions)
return resources
|
[
"def",
"to_cloudformation",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"resources",
"=",
"[",
"]",
"api_generator",
"=",
"ApiGenerator",
"(",
"self",
".",
"logical_id",
",",
"self",
".",
"CacheClusterEnabled",
",",
"self",
".",
"CacheClusterSize",
",",
"self",
".",
"Variables",
",",
"self",
".",
"depends_on",
",",
"self",
".",
"DefinitionBody",
",",
"self",
".",
"DefinitionUri",
",",
"self",
".",
"Name",
",",
"self",
".",
"StageName",
",",
"endpoint_configuration",
"=",
"self",
".",
"EndpointConfiguration",
",",
"method_settings",
"=",
"self",
".",
"MethodSettings",
",",
"binary_media",
"=",
"self",
".",
"BinaryMediaTypes",
",",
"minimum_compression_size",
"=",
"self",
".",
"MinimumCompressionSize",
",",
"cors",
"=",
"self",
".",
"Cors",
",",
"auth",
"=",
"self",
".",
"Auth",
",",
"gateway_responses",
"=",
"self",
".",
"GatewayResponses",
",",
"access_log_setting",
"=",
"self",
".",
"AccessLogSetting",
",",
"canary_setting",
"=",
"self",
".",
"CanarySetting",
",",
"tracing_enabled",
"=",
"self",
".",
"TracingEnabled",
",",
"resource_attributes",
"=",
"self",
".",
"resource_attributes",
",",
"passthrough_resource_attributes",
"=",
"self",
".",
"get_passthrough_resource_attributes",
"(",
")",
")",
"rest_api",
",",
"deployment",
",",
"stage",
",",
"permissions",
"=",
"api_generator",
".",
"to_cloudformation",
"(",
")",
"resources",
".",
"extend",
"(",
"[",
"rest_api",
",",
"deployment",
",",
"stage",
"]",
")",
"resources",
".",
"extend",
"(",
"permissions",
")",
"return",
"resources"
] |
Returns the API Gateway RestApi, Deployment, and Stage to which this SAM Api corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
|
[
"Returns",
"the",
"API",
"Gateway",
"RestApi",
"Deployment",
"and",
"Stage",
"to",
"which",
"this",
"SAM",
"Api",
"corresponds",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L456-L493
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
SamApplication._construct_nested_stack
|
def _construct_nested_stack(self):
"""Constructs a AWS::CloudFormation::Stack resource
"""
nested_stack = NestedStack(self.logical_id, depends_on=self.depends_on,
attributes=self.get_passthrough_resource_attributes())
nested_stack.Parameters = self.Parameters
nested_stack.NotificationArns = self.NotificationArns
application_tags = self._get_application_tags()
nested_stack.Tags = self._construct_tag_list(self.Tags, application_tags)
nested_stack.TimeoutInMinutes = self.TimeoutInMinutes
nested_stack.TemplateURL = self.TemplateUrl if self.TemplateUrl else ""
return nested_stack
|
python
|
def _construct_nested_stack(self):
"""Constructs a AWS::CloudFormation::Stack resource
"""
nested_stack = NestedStack(self.logical_id, depends_on=self.depends_on,
attributes=self.get_passthrough_resource_attributes())
nested_stack.Parameters = self.Parameters
nested_stack.NotificationArns = self.NotificationArns
application_tags = self._get_application_tags()
nested_stack.Tags = self._construct_tag_list(self.Tags, application_tags)
nested_stack.TimeoutInMinutes = self.TimeoutInMinutes
nested_stack.TemplateURL = self.TemplateUrl if self.TemplateUrl else ""
return nested_stack
|
[
"def",
"_construct_nested_stack",
"(",
"self",
")",
":",
"nested_stack",
"=",
"NestedStack",
"(",
"self",
".",
"logical_id",
",",
"depends_on",
"=",
"self",
".",
"depends_on",
",",
"attributes",
"=",
"self",
".",
"get_passthrough_resource_attributes",
"(",
")",
")",
"nested_stack",
".",
"Parameters",
"=",
"self",
".",
"Parameters",
"nested_stack",
".",
"NotificationArns",
"=",
"self",
".",
"NotificationArns",
"application_tags",
"=",
"self",
".",
"_get_application_tags",
"(",
")",
"nested_stack",
".",
"Tags",
"=",
"self",
".",
"_construct_tag_list",
"(",
"self",
".",
"Tags",
",",
"application_tags",
")",
"nested_stack",
".",
"TimeoutInMinutes",
"=",
"self",
".",
"TimeoutInMinutes",
"nested_stack",
".",
"TemplateURL",
"=",
"self",
".",
"TemplateUrl",
"if",
"self",
".",
"TemplateUrl",
"else",
"\"\"",
"return",
"nested_stack"
] |
Constructs a AWS::CloudFormation::Stack resource
|
[
"Constructs",
"a",
"AWS",
"::",
"CloudFormation",
"::",
"Stack",
"resource"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L583-L595
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
SamApplication._get_application_tags
|
def _get_application_tags(self):
"""Adds tags to the stack if this resource is using the serverless app repo
"""
application_tags = {}
if isinstance(self.Location, dict):
if (self.APPLICATION_ID_KEY in self.Location.keys() and
self.Location[self.APPLICATION_ID_KEY] is not None):
application_tags[self._SAR_APP_KEY] = self.Location[self.APPLICATION_ID_KEY]
if (self.SEMANTIC_VERSION_KEY in self.Location.keys() and
self.Location[self.SEMANTIC_VERSION_KEY] is not None):
application_tags[self._SAR_SEMVER_KEY] = self.Location[self.SEMANTIC_VERSION_KEY]
return application_tags
|
python
|
def _get_application_tags(self):
"""Adds tags to the stack if this resource is using the serverless app repo
"""
application_tags = {}
if isinstance(self.Location, dict):
if (self.APPLICATION_ID_KEY in self.Location.keys() and
self.Location[self.APPLICATION_ID_KEY] is not None):
application_tags[self._SAR_APP_KEY] = self.Location[self.APPLICATION_ID_KEY]
if (self.SEMANTIC_VERSION_KEY in self.Location.keys() and
self.Location[self.SEMANTIC_VERSION_KEY] is not None):
application_tags[self._SAR_SEMVER_KEY] = self.Location[self.SEMANTIC_VERSION_KEY]
return application_tags
|
[
"def",
"_get_application_tags",
"(",
"self",
")",
":",
"application_tags",
"=",
"{",
"}",
"if",
"isinstance",
"(",
"self",
".",
"Location",
",",
"dict",
")",
":",
"if",
"(",
"self",
".",
"APPLICATION_ID_KEY",
"in",
"self",
".",
"Location",
".",
"keys",
"(",
")",
"and",
"self",
".",
"Location",
"[",
"self",
".",
"APPLICATION_ID_KEY",
"]",
"is",
"not",
"None",
")",
":",
"application_tags",
"[",
"self",
".",
"_SAR_APP_KEY",
"]",
"=",
"self",
".",
"Location",
"[",
"self",
".",
"APPLICATION_ID_KEY",
"]",
"if",
"(",
"self",
".",
"SEMANTIC_VERSION_KEY",
"in",
"self",
".",
"Location",
".",
"keys",
"(",
")",
"and",
"self",
".",
"Location",
"[",
"self",
".",
"SEMANTIC_VERSION_KEY",
"]",
"is",
"not",
"None",
")",
":",
"application_tags",
"[",
"self",
".",
"_SAR_SEMVER_KEY",
"]",
"=",
"self",
".",
"Location",
"[",
"self",
".",
"SEMANTIC_VERSION_KEY",
"]",
"return",
"application_tags"
] |
Adds tags to the stack if this resource is using the serverless app repo
|
[
"Adds",
"tags",
"to",
"the",
"stack",
"if",
"this",
"resource",
"is",
"using",
"the",
"serverless",
"app",
"repo"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L597-L608
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
SamLayerVersion.to_cloudformation
|
def to_cloudformation(self, **kwargs):
"""Returns the Lambda layer to which this SAM Layer corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
"""
resources = []
# Append any CFN resources:
intrinsics_resolver = kwargs["intrinsics_resolver"]
resources.append(self._construct_lambda_layer(intrinsics_resolver))
return resources
|
python
|
def to_cloudformation(self, **kwargs):
"""Returns the Lambda layer to which this SAM Layer corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
"""
resources = []
# Append any CFN resources:
intrinsics_resolver = kwargs["intrinsics_resolver"]
resources.append(self._construct_lambda_layer(intrinsics_resolver))
return resources
|
[
"def",
"to_cloudformation",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"resources",
"=",
"[",
"]",
"# Append any CFN resources:",
"intrinsics_resolver",
"=",
"kwargs",
"[",
"\"intrinsics_resolver\"",
"]",
"resources",
".",
"append",
"(",
"self",
".",
"_construct_lambda_layer",
"(",
"intrinsics_resolver",
")",
")",
"return",
"resources"
] |
Returns the Lambda layer to which this SAM Layer corresponds.
:param dict kwargs: already-converted resources that may need to be modified when converting this \
macro to pure CloudFormation
:returns: a list of vanilla CloudFormation Resources, to which this Function expands
:rtype: list
|
[
"Returns",
"the",
"Lambda",
"layer",
"to",
"which",
"this",
"SAM",
"Layer",
"corresponds",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L628-L642
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
SamLayerVersion._construct_lambda_layer
|
def _construct_lambda_layer(self, intrinsics_resolver):
"""Constructs and returns the Lambda function.
:returns: a list containing the Lambda function and execution role resources
:rtype: list
"""
# Resolve intrinsics if applicable:
self.LayerName = self._resolve_string_parameter(intrinsics_resolver, self.LayerName, 'LayerName')
self.LicenseInfo = self._resolve_string_parameter(intrinsics_resolver, self.LicenseInfo, 'LicenseInfo')
self.Description = self._resolve_string_parameter(intrinsics_resolver, self.Description, 'Description')
self.RetentionPolicy = self._resolve_string_parameter(intrinsics_resolver, self.RetentionPolicy,
'RetentionPolicy')
retention_policy_value = self._get_retention_policy_value()
attributes = self.get_passthrough_resource_attributes()
if attributes is None:
attributes = {}
attributes['DeletionPolicy'] = retention_policy_value
old_logical_id = self.logical_id
new_logical_id = logical_id_generator.LogicalIdGenerator(old_logical_id, self.to_dict()).gen()
self.logical_id = new_logical_id
lambda_layer = LambdaLayerVersion(self.logical_id, depends_on=self.depends_on, attributes=attributes)
# Changing the LayerName property: when a layer is published, it is given an Arn
# example: arn:aws:lambda:us-west-2:123456789012:layer:MyLayer:1
# where MyLayer is the LayerName property if it exists; otherwise, it is the
# LogicalId of this resource. Since a LayerVersion is an immutable resource, when
# CloudFormation updates this resource, it will ALWAYS create a new version then
# delete the old version if the logical ids match. What this does is change the
# logical id of every layer (so a `DeletionPolicy: Retain` can work) and set the
# LayerName property of the layer so that the Arn will still always be the same
# with the exception of an incrementing version number.
if not self.LayerName:
self.LayerName = old_logical_id
lambda_layer.LayerName = self.LayerName
lambda_layer.Description = self.Description
lambda_layer.Content = construct_s3_location_object(self.ContentUri, self.logical_id, 'ContentUri')
lambda_layer.CompatibleRuntimes = self.CompatibleRuntimes
lambda_layer.LicenseInfo = self.LicenseInfo
return lambda_layer
|
python
|
def _construct_lambda_layer(self, intrinsics_resolver):
"""Constructs and returns the Lambda function.
:returns: a list containing the Lambda function and execution role resources
:rtype: list
"""
# Resolve intrinsics if applicable:
self.LayerName = self._resolve_string_parameter(intrinsics_resolver, self.LayerName, 'LayerName')
self.LicenseInfo = self._resolve_string_parameter(intrinsics_resolver, self.LicenseInfo, 'LicenseInfo')
self.Description = self._resolve_string_parameter(intrinsics_resolver, self.Description, 'Description')
self.RetentionPolicy = self._resolve_string_parameter(intrinsics_resolver, self.RetentionPolicy,
'RetentionPolicy')
retention_policy_value = self._get_retention_policy_value()
attributes = self.get_passthrough_resource_attributes()
if attributes is None:
attributes = {}
attributes['DeletionPolicy'] = retention_policy_value
old_logical_id = self.logical_id
new_logical_id = logical_id_generator.LogicalIdGenerator(old_logical_id, self.to_dict()).gen()
self.logical_id = new_logical_id
lambda_layer = LambdaLayerVersion(self.logical_id, depends_on=self.depends_on, attributes=attributes)
# Changing the LayerName property: when a layer is published, it is given an Arn
# example: arn:aws:lambda:us-west-2:123456789012:layer:MyLayer:1
# where MyLayer is the LayerName property if it exists; otherwise, it is the
# LogicalId of this resource. Since a LayerVersion is an immutable resource, when
# CloudFormation updates this resource, it will ALWAYS create a new version then
# delete the old version if the logical ids match. What this does is change the
# logical id of every layer (so a `DeletionPolicy: Retain` can work) and set the
# LayerName property of the layer so that the Arn will still always be the same
# with the exception of an incrementing version number.
if not self.LayerName:
self.LayerName = old_logical_id
lambda_layer.LayerName = self.LayerName
lambda_layer.Description = self.Description
lambda_layer.Content = construct_s3_location_object(self.ContentUri, self.logical_id, 'ContentUri')
lambda_layer.CompatibleRuntimes = self.CompatibleRuntimes
lambda_layer.LicenseInfo = self.LicenseInfo
return lambda_layer
|
[
"def",
"_construct_lambda_layer",
"(",
"self",
",",
"intrinsics_resolver",
")",
":",
"# Resolve intrinsics if applicable:",
"self",
".",
"LayerName",
"=",
"self",
".",
"_resolve_string_parameter",
"(",
"intrinsics_resolver",
",",
"self",
".",
"LayerName",
",",
"'LayerName'",
")",
"self",
".",
"LicenseInfo",
"=",
"self",
".",
"_resolve_string_parameter",
"(",
"intrinsics_resolver",
",",
"self",
".",
"LicenseInfo",
",",
"'LicenseInfo'",
")",
"self",
".",
"Description",
"=",
"self",
".",
"_resolve_string_parameter",
"(",
"intrinsics_resolver",
",",
"self",
".",
"Description",
",",
"'Description'",
")",
"self",
".",
"RetentionPolicy",
"=",
"self",
".",
"_resolve_string_parameter",
"(",
"intrinsics_resolver",
",",
"self",
".",
"RetentionPolicy",
",",
"'RetentionPolicy'",
")",
"retention_policy_value",
"=",
"self",
".",
"_get_retention_policy_value",
"(",
")",
"attributes",
"=",
"self",
".",
"get_passthrough_resource_attributes",
"(",
")",
"if",
"attributes",
"is",
"None",
":",
"attributes",
"=",
"{",
"}",
"attributes",
"[",
"'DeletionPolicy'",
"]",
"=",
"retention_policy_value",
"old_logical_id",
"=",
"self",
".",
"logical_id",
"new_logical_id",
"=",
"logical_id_generator",
".",
"LogicalIdGenerator",
"(",
"old_logical_id",
",",
"self",
".",
"to_dict",
"(",
")",
")",
".",
"gen",
"(",
")",
"self",
".",
"logical_id",
"=",
"new_logical_id",
"lambda_layer",
"=",
"LambdaLayerVersion",
"(",
"self",
".",
"logical_id",
",",
"depends_on",
"=",
"self",
".",
"depends_on",
",",
"attributes",
"=",
"attributes",
")",
"# Changing the LayerName property: when a layer is published, it is given an Arn",
"# example: arn:aws:lambda:us-west-2:123456789012:layer:MyLayer:1",
"# where MyLayer is the LayerName property if it exists; otherwise, it is the",
"# LogicalId of this resource. Since a LayerVersion is an immutable resource, when",
"# CloudFormation updates this resource, it will ALWAYS create a new version then",
"# delete the old version if the logical ids match. What this does is change the",
"# logical id of every layer (so a `DeletionPolicy: Retain` can work) and set the",
"# LayerName property of the layer so that the Arn will still always be the same",
"# with the exception of an incrementing version number.",
"if",
"not",
"self",
".",
"LayerName",
":",
"self",
".",
"LayerName",
"=",
"old_logical_id",
"lambda_layer",
".",
"LayerName",
"=",
"self",
".",
"LayerName",
"lambda_layer",
".",
"Description",
"=",
"self",
".",
"Description",
"lambda_layer",
".",
"Content",
"=",
"construct_s3_location_object",
"(",
"self",
".",
"ContentUri",
",",
"self",
".",
"logical_id",
",",
"'ContentUri'",
")",
"lambda_layer",
".",
"CompatibleRuntimes",
"=",
"self",
".",
"CompatibleRuntimes",
"lambda_layer",
".",
"LicenseInfo",
"=",
"self",
".",
"LicenseInfo",
"return",
"lambda_layer"
] |
Constructs and returns the Lambda function.
:returns: a list containing the Lambda function and execution role resources
:rtype: list
|
[
"Constructs",
"and",
"returns",
"the",
"Lambda",
"function",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L644-L688
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/sam_resources.py
|
SamLayerVersion._get_retention_policy_value
|
def _get_retention_policy_value(self):
"""
Sets the deletion policy on this resource. The default is 'Retain'.
:return: value for the DeletionPolicy attribute.
"""
if self.RetentionPolicy is None or self.RetentionPolicy.lower() == self.RETAIN.lower():
return self.RETAIN
elif self.RetentionPolicy.lower() == self.DELETE.lower():
return self.DELETE
elif self.RetentionPolicy.lower() not in self.retention_policy_options:
raise InvalidResourceException(self.logical_id,
"'{}' must be one of the following options: {}."
.format('RetentionPolicy', [self.RETAIN, self.DELETE]))
|
python
|
def _get_retention_policy_value(self):
"""
Sets the deletion policy on this resource. The default is 'Retain'.
:return: value for the DeletionPolicy attribute.
"""
if self.RetentionPolicy is None or self.RetentionPolicy.lower() == self.RETAIN.lower():
return self.RETAIN
elif self.RetentionPolicy.lower() == self.DELETE.lower():
return self.DELETE
elif self.RetentionPolicy.lower() not in self.retention_policy_options:
raise InvalidResourceException(self.logical_id,
"'{}' must be one of the following options: {}."
.format('RetentionPolicy', [self.RETAIN, self.DELETE]))
|
[
"def",
"_get_retention_policy_value",
"(",
"self",
")",
":",
"if",
"self",
".",
"RetentionPolicy",
"is",
"None",
"or",
"self",
".",
"RetentionPolicy",
".",
"lower",
"(",
")",
"==",
"self",
".",
"RETAIN",
".",
"lower",
"(",
")",
":",
"return",
"self",
".",
"RETAIN",
"elif",
"self",
".",
"RetentionPolicy",
".",
"lower",
"(",
")",
"==",
"self",
".",
"DELETE",
".",
"lower",
"(",
")",
":",
"return",
"self",
".",
"DELETE",
"elif",
"self",
".",
"RetentionPolicy",
".",
"lower",
"(",
")",
"not",
"in",
"self",
".",
"retention_policy_options",
":",
"raise",
"InvalidResourceException",
"(",
"self",
".",
"logical_id",
",",
"\"'{}' must be one of the following options: {}.\"",
".",
"format",
"(",
"'RetentionPolicy'",
",",
"[",
"self",
".",
"RETAIN",
",",
"self",
".",
"DELETE",
"]",
")",
")"
] |
Sets the deletion policy on this resource. The default is 'Retain'.
:return: value for the DeletionPolicy attribute.
|
[
"Sets",
"the",
"deletion",
"policy",
"on",
"this",
"resource",
".",
"The",
"default",
"is",
"Retain",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/sam_resources.py#L690-L704
|
train
|
awslabs/serverless-application-model
|
examples/apps/lex-order-flowers-python/lambda_function.py
|
order_flowers
|
def order_flowers(intent_request):
"""
Performs dialog management and fulfillment for ordering flowers.
Beyond fulfillment, the implementation of this intent demonstrates the use of the elicitSlot dialog action
in slot validation and re-prompting.
"""
flower_type = get_slots(intent_request)["FlowerType"]
date = get_slots(intent_request)["PickupDate"]
time = get_slots(intent_request)["PickupTime"]
source = intent_request['invocationSource']
if source == 'DialogCodeHook':
# Perform basic validation on the supplied input slots.
# Use the elicitSlot dialog action to re-prompt for the first violation detected.
slots = get_slots(intent_request)
validation_result = validate_order_flowers(flower_type, date, time)
if not validation_result['isValid']:
slots[validation_result['violatedSlot']] = None
return elicit_slot(intent_request['sessionAttributes'],
intent_request['currentIntent']['name'],
slots,
validation_result['violatedSlot'],
validation_result['message'])
# Pass the price of the flowers back through session attributes to be used in various prompts defined
# on the bot model.
output_session_attributes = intent_request['sessionAttributes']
if flower_type is not None:
output_session_attributes['Price'] = len(flower_type) * 5 # Elegant pricing model
return delegate(output_session_attributes, get_slots(intent_request))
# Order the flowers, and rely on the goodbye message of the bot to define the message to the end user.
# In a real bot, this would likely involve a call to a backend service.
return close(intent_request['sessionAttributes'],
'Fulfilled',
{'contentType': 'PlainText',
'content': 'Thanks, your order for {} has been placed and will be ready for pickup by {} on {}'.format(flower_type, time, date)})
|
python
|
def order_flowers(intent_request):
"""
Performs dialog management and fulfillment for ordering flowers.
Beyond fulfillment, the implementation of this intent demonstrates the use of the elicitSlot dialog action
in slot validation and re-prompting.
"""
flower_type = get_slots(intent_request)["FlowerType"]
date = get_slots(intent_request)["PickupDate"]
time = get_slots(intent_request)["PickupTime"]
source = intent_request['invocationSource']
if source == 'DialogCodeHook':
# Perform basic validation on the supplied input slots.
# Use the elicitSlot dialog action to re-prompt for the first violation detected.
slots = get_slots(intent_request)
validation_result = validate_order_flowers(flower_type, date, time)
if not validation_result['isValid']:
slots[validation_result['violatedSlot']] = None
return elicit_slot(intent_request['sessionAttributes'],
intent_request['currentIntent']['name'],
slots,
validation_result['violatedSlot'],
validation_result['message'])
# Pass the price of the flowers back through session attributes to be used in various prompts defined
# on the bot model.
output_session_attributes = intent_request['sessionAttributes']
if flower_type is not None:
output_session_attributes['Price'] = len(flower_type) * 5 # Elegant pricing model
return delegate(output_session_attributes, get_slots(intent_request))
# Order the flowers, and rely on the goodbye message of the bot to define the message to the end user.
# In a real bot, this would likely involve a call to a backend service.
return close(intent_request['sessionAttributes'],
'Fulfilled',
{'contentType': 'PlainText',
'content': 'Thanks, your order for {} has been placed and will be ready for pickup by {} on {}'.format(flower_type, time, date)})
|
[
"def",
"order_flowers",
"(",
"intent_request",
")",
":",
"flower_type",
"=",
"get_slots",
"(",
"intent_request",
")",
"[",
"\"FlowerType\"",
"]",
"date",
"=",
"get_slots",
"(",
"intent_request",
")",
"[",
"\"PickupDate\"",
"]",
"time",
"=",
"get_slots",
"(",
"intent_request",
")",
"[",
"\"PickupTime\"",
"]",
"source",
"=",
"intent_request",
"[",
"'invocationSource'",
"]",
"if",
"source",
"==",
"'DialogCodeHook'",
":",
"# Perform basic validation on the supplied input slots.",
"# Use the elicitSlot dialog action to re-prompt for the first violation detected.",
"slots",
"=",
"get_slots",
"(",
"intent_request",
")",
"validation_result",
"=",
"validate_order_flowers",
"(",
"flower_type",
",",
"date",
",",
"time",
")",
"if",
"not",
"validation_result",
"[",
"'isValid'",
"]",
":",
"slots",
"[",
"validation_result",
"[",
"'violatedSlot'",
"]",
"]",
"=",
"None",
"return",
"elicit_slot",
"(",
"intent_request",
"[",
"'sessionAttributes'",
"]",
",",
"intent_request",
"[",
"'currentIntent'",
"]",
"[",
"'name'",
"]",
",",
"slots",
",",
"validation_result",
"[",
"'violatedSlot'",
"]",
",",
"validation_result",
"[",
"'message'",
"]",
")",
"# Pass the price of the flowers back through session attributes to be used in various prompts defined",
"# on the bot model.",
"output_session_attributes",
"=",
"intent_request",
"[",
"'sessionAttributes'",
"]",
"if",
"flower_type",
"is",
"not",
"None",
":",
"output_session_attributes",
"[",
"'Price'",
"]",
"=",
"len",
"(",
"flower_type",
")",
"*",
"5",
"# Elegant pricing model",
"return",
"delegate",
"(",
"output_session_attributes",
",",
"get_slots",
"(",
"intent_request",
")",
")",
"# Order the flowers, and rely on the goodbye message of the bot to define the message to the end user.",
"# In a real bot, this would likely involve a call to a backend service.",
"return",
"close",
"(",
"intent_request",
"[",
"'sessionAttributes'",
"]",
",",
"'Fulfilled'",
",",
"{",
"'contentType'",
":",
"'PlainText'",
",",
"'content'",
":",
"'Thanks, your order for {} has been placed and will be ready for pickup by {} on {}'",
".",
"format",
"(",
"flower_type",
",",
"time",
",",
"date",
")",
"}",
")"
] |
Performs dialog management and fulfillment for ordering flowers.
Beyond fulfillment, the implementation of this intent demonstrates the use of the elicitSlot dialog action
in slot validation and re-prompting.
|
[
"Performs",
"dialog",
"management",
"and",
"fulfillment",
"for",
"ordering",
"flowers",
".",
"Beyond",
"fulfillment",
"the",
"implementation",
"of",
"this",
"intent",
"demonstrates",
"the",
"use",
"of",
"the",
"elicitSlot",
"dialog",
"action",
"in",
"slot",
"validation",
"and",
"re",
"-",
"prompting",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/examples/apps/lex-order-flowers-python/lambda_function.py#L119-L158
|
train
|
awslabs/serverless-application-model
|
examples/apps/lex-order-flowers-python/lambda_function.py
|
dispatch
|
def dispatch(intent_request):
"""
Called when the user specifies an intent for this bot.
"""
logger.debug('dispatch userId={}, intentName={}'.format(intent_request['userId'], intent_request['currentIntent']['name']))
intent_name = intent_request['currentIntent']['name']
# Dispatch to your bot's intent handlers
if intent_name == 'OrderFlowers':
return order_flowers(intent_request)
raise Exception('Intent with name ' + intent_name + ' not supported')
|
python
|
def dispatch(intent_request):
"""
Called when the user specifies an intent for this bot.
"""
logger.debug('dispatch userId={}, intentName={}'.format(intent_request['userId'], intent_request['currentIntent']['name']))
intent_name = intent_request['currentIntent']['name']
# Dispatch to your bot's intent handlers
if intent_name == 'OrderFlowers':
return order_flowers(intent_request)
raise Exception('Intent with name ' + intent_name + ' not supported')
|
[
"def",
"dispatch",
"(",
"intent_request",
")",
":",
"logger",
".",
"debug",
"(",
"'dispatch userId={}, intentName={}'",
".",
"format",
"(",
"intent_request",
"[",
"'userId'",
"]",
",",
"intent_request",
"[",
"'currentIntent'",
"]",
"[",
"'name'",
"]",
")",
")",
"intent_name",
"=",
"intent_request",
"[",
"'currentIntent'",
"]",
"[",
"'name'",
"]",
"# Dispatch to your bot's intent handlers",
"if",
"intent_name",
"==",
"'OrderFlowers'",
":",
"return",
"order_flowers",
"(",
"intent_request",
")",
"raise",
"Exception",
"(",
"'Intent with name '",
"+",
"intent_name",
"+",
"' not supported'",
")"
] |
Called when the user specifies an intent for this bot.
|
[
"Called",
"when",
"the",
"user",
"specifies",
"an",
"intent",
"for",
"this",
"bot",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/examples/apps/lex-order-flowers-python/lambda_function.py#L164-L177
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
PushEventSource._construct_permission
|
def _construct_permission(self, function, source_arn=None, source_account=None, suffix="", event_source_token=None):
"""Constructs the Lambda Permission resource allowing the source service to invoke the function this event
source triggers.
:returns: the permission resource
:rtype: model.lambda_.LambdaPermission
"""
lambda_permission = LambdaPermission(self.logical_id + 'Permission' + suffix,
attributes=function.get_passthrough_resource_attributes())
try:
# Name will not be available for Alias resources
function_name_or_arn = function.get_runtime_attr("name")
except NotImplementedError:
function_name_or_arn = function.get_runtime_attr("arn")
lambda_permission.Action = 'lambda:invokeFunction'
lambda_permission.FunctionName = function_name_or_arn
lambda_permission.Principal = self.principal
lambda_permission.SourceArn = source_arn
lambda_permission.SourceAccount = source_account
lambda_permission.EventSourceToken = event_source_token
return lambda_permission
|
python
|
def _construct_permission(self, function, source_arn=None, source_account=None, suffix="", event_source_token=None):
"""Constructs the Lambda Permission resource allowing the source service to invoke the function this event
source triggers.
:returns: the permission resource
:rtype: model.lambda_.LambdaPermission
"""
lambda_permission = LambdaPermission(self.logical_id + 'Permission' + suffix,
attributes=function.get_passthrough_resource_attributes())
try:
# Name will not be available for Alias resources
function_name_or_arn = function.get_runtime_attr("name")
except NotImplementedError:
function_name_or_arn = function.get_runtime_attr("arn")
lambda_permission.Action = 'lambda:invokeFunction'
lambda_permission.FunctionName = function_name_or_arn
lambda_permission.Principal = self.principal
lambda_permission.SourceArn = source_arn
lambda_permission.SourceAccount = source_account
lambda_permission.EventSourceToken = event_source_token
return lambda_permission
|
[
"def",
"_construct_permission",
"(",
"self",
",",
"function",
",",
"source_arn",
"=",
"None",
",",
"source_account",
"=",
"None",
",",
"suffix",
"=",
"\"\"",
",",
"event_source_token",
"=",
"None",
")",
":",
"lambda_permission",
"=",
"LambdaPermission",
"(",
"self",
".",
"logical_id",
"+",
"'Permission'",
"+",
"suffix",
",",
"attributes",
"=",
"function",
".",
"get_passthrough_resource_attributes",
"(",
")",
")",
"try",
":",
"# Name will not be available for Alias resources",
"function_name_or_arn",
"=",
"function",
".",
"get_runtime_attr",
"(",
"\"name\"",
")",
"except",
"NotImplementedError",
":",
"function_name_or_arn",
"=",
"function",
".",
"get_runtime_attr",
"(",
"\"arn\"",
")",
"lambda_permission",
".",
"Action",
"=",
"'lambda:invokeFunction'",
"lambda_permission",
".",
"FunctionName",
"=",
"function_name_or_arn",
"lambda_permission",
".",
"Principal",
"=",
"self",
".",
"principal",
"lambda_permission",
".",
"SourceArn",
"=",
"source_arn",
"lambda_permission",
".",
"SourceAccount",
"=",
"source_account",
"lambda_permission",
".",
"EventSourceToken",
"=",
"event_source_token",
"return",
"lambda_permission"
] |
Constructs the Lambda Permission resource allowing the source service to invoke the function this event
source triggers.
:returns: the permission resource
:rtype: model.lambda_.LambdaPermission
|
[
"Constructs",
"the",
"Lambda",
"Permission",
"resource",
"allowing",
"the",
"source",
"service",
"to",
"invoke",
"the",
"function",
"this",
"event",
"source",
"triggers",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L43-L66
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
Schedule.to_cloudformation
|
def to_cloudformation(self, **kwargs):
"""Returns the CloudWatch Events Rule and Lambda Permission to which this Schedule event source corresponds.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this pull event expands
:rtype: list
"""
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
resources = []
events_rule = EventsRule(self.logical_id)
resources.append(events_rule)
events_rule.ScheduleExpression = self.Schedule
events_rule.Targets = [self._construct_target(function)]
source_arn = events_rule.get_runtime_attr("arn")
if CONDITION in function.resource_attributes:
events_rule.set_resource_attribute(CONDITION, function.resource_attributes[CONDITION])
resources.append(self._construct_permission(function, source_arn=source_arn))
return resources
|
python
|
def to_cloudformation(self, **kwargs):
"""Returns the CloudWatch Events Rule and Lambda Permission to which this Schedule event source corresponds.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this pull event expands
:rtype: list
"""
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
resources = []
events_rule = EventsRule(self.logical_id)
resources.append(events_rule)
events_rule.ScheduleExpression = self.Schedule
events_rule.Targets = [self._construct_target(function)]
source_arn = events_rule.get_runtime_attr("arn")
if CONDITION in function.resource_attributes:
events_rule.set_resource_attribute(CONDITION, function.resource_attributes[CONDITION])
resources.append(self._construct_permission(function, source_arn=source_arn))
return resources
|
[
"def",
"to_cloudformation",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"function",
"=",
"kwargs",
".",
"get",
"(",
"'function'",
")",
"if",
"not",
"function",
":",
"raise",
"TypeError",
"(",
"\"Missing required keyword argument: function\"",
")",
"resources",
"=",
"[",
"]",
"events_rule",
"=",
"EventsRule",
"(",
"self",
".",
"logical_id",
")",
"resources",
".",
"append",
"(",
"events_rule",
")",
"events_rule",
".",
"ScheduleExpression",
"=",
"self",
".",
"Schedule",
"events_rule",
".",
"Targets",
"=",
"[",
"self",
".",
"_construct_target",
"(",
"function",
")",
"]",
"source_arn",
"=",
"events_rule",
".",
"get_runtime_attr",
"(",
"\"arn\"",
")",
"if",
"CONDITION",
"in",
"function",
".",
"resource_attributes",
":",
"events_rule",
".",
"set_resource_attribute",
"(",
"CONDITION",
",",
"function",
".",
"resource_attributes",
"[",
"CONDITION",
"]",
")",
"resources",
".",
"append",
"(",
"self",
".",
"_construct_permission",
"(",
"function",
",",
"source_arn",
"=",
"source_arn",
")",
")",
"return",
"resources"
] |
Returns the CloudWatch Events Rule and Lambda Permission to which this Schedule event source corresponds.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this pull event expands
:rtype: list
|
[
"Returns",
"the",
"CloudWatch",
"Events",
"Rule",
"and",
"Lambda",
"Permission",
"to",
"which",
"this",
"Schedule",
"event",
"source",
"corresponds",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L78-L103
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
CloudWatchEvent._construct_target
|
def _construct_target(self, function):
"""Constructs the Target property for the CloudWatch Events Rule.
:returns: the Target property
:rtype: dict
"""
target = {
'Arn': function.get_runtime_attr("arn"),
'Id': self.logical_id + 'LambdaTarget'
}
if self.Input is not None:
target['Input'] = self.Input
if self.InputPath is not None:
target['InputPath'] = self.InputPath
return target
|
python
|
def _construct_target(self, function):
"""Constructs the Target property for the CloudWatch Events Rule.
:returns: the Target property
:rtype: dict
"""
target = {
'Arn': function.get_runtime_attr("arn"),
'Id': self.logical_id + 'LambdaTarget'
}
if self.Input is not None:
target['Input'] = self.Input
if self.InputPath is not None:
target['InputPath'] = self.InputPath
return target
|
[
"def",
"_construct_target",
"(",
"self",
",",
"function",
")",
":",
"target",
"=",
"{",
"'Arn'",
":",
"function",
".",
"get_runtime_attr",
"(",
"\"arn\"",
")",
",",
"'Id'",
":",
"self",
".",
"logical_id",
"+",
"'LambdaTarget'",
"}",
"if",
"self",
".",
"Input",
"is",
"not",
"None",
":",
"target",
"[",
"'Input'",
"]",
"=",
"self",
".",
"Input",
"if",
"self",
".",
"InputPath",
"is",
"not",
"None",
":",
"target",
"[",
"'InputPath'",
"]",
"=",
"self",
".",
"InputPath",
"return",
"target"
] |
Constructs the Target property for the CloudWatch Events Rule.
:returns: the Target property
:rtype: dict
|
[
"Constructs",
"the",
"Target",
"property",
"for",
"the",
"CloudWatch",
"Events",
"Rule",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L159-L174
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
S3.to_cloudformation
|
def to_cloudformation(self, **kwargs):
"""Returns the Lambda Permission resource allowing S3 to invoke the function this event source triggers.
:param dict kwargs: S3 bucket resource
:returns: a list of vanilla CloudFormation Resources, to which this S3 event expands
:rtype: list
"""
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
if 'bucket' not in kwargs or kwargs['bucket'] is None:
raise TypeError("Missing required keyword argument: bucket")
if 'bucket_id' not in kwargs or kwargs['bucket_id'] is None:
raise TypeError("Missing required keyword argument: bucket_id")
bucket = kwargs['bucket']
bucket_id = kwargs['bucket_id']
resources = []
source_account = ref('AWS::AccountId')
permission = self._construct_permission(function, source_account=source_account)
if CONDITION in permission.resource_attributes:
self._depend_on_lambda_permissions_using_tag(bucket, permission)
else:
self._depend_on_lambda_permissions(bucket, permission)
resources.append(permission)
# NOTE: `bucket` here is a dictionary representing the S3 Bucket resource in your SAM template. If there are
# multiple S3 Events attached to the same bucket, we will update the Bucket resource with notification
# configuration for each event. This is the reason why we continue to use existing bucket dict and append onto
# it.
#
# NOTE: There is some fragile logic here where we will append multiple resources to output
# SAM template but de-dupe them when merging into output CFN template. This is scary because the order of
# merging is literally "last one wins", which works fine because we linearly loop through the template once.
# The de-dupe happens inside `samtranslator.translator.Translator.translate` method when merging results of
# to_cloudformation() to output template.
self._inject_notification_configuration(function, bucket)
resources.append(S3Bucket.from_dict(bucket_id, bucket))
return resources
|
python
|
def to_cloudformation(self, **kwargs):
"""Returns the Lambda Permission resource allowing S3 to invoke the function this event source triggers.
:param dict kwargs: S3 bucket resource
:returns: a list of vanilla CloudFormation Resources, to which this S3 event expands
:rtype: list
"""
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
if 'bucket' not in kwargs or kwargs['bucket'] is None:
raise TypeError("Missing required keyword argument: bucket")
if 'bucket_id' not in kwargs or kwargs['bucket_id'] is None:
raise TypeError("Missing required keyword argument: bucket_id")
bucket = kwargs['bucket']
bucket_id = kwargs['bucket_id']
resources = []
source_account = ref('AWS::AccountId')
permission = self._construct_permission(function, source_account=source_account)
if CONDITION in permission.resource_attributes:
self._depend_on_lambda_permissions_using_tag(bucket, permission)
else:
self._depend_on_lambda_permissions(bucket, permission)
resources.append(permission)
# NOTE: `bucket` here is a dictionary representing the S3 Bucket resource in your SAM template. If there are
# multiple S3 Events attached to the same bucket, we will update the Bucket resource with notification
# configuration for each event. This is the reason why we continue to use existing bucket dict and append onto
# it.
#
# NOTE: There is some fragile logic here where we will append multiple resources to output
# SAM template but de-dupe them when merging into output CFN template. This is scary because the order of
# merging is literally "last one wins", which works fine because we linearly loop through the template once.
# The de-dupe happens inside `samtranslator.translator.Translator.translate` method when merging results of
# to_cloudformation() to output template.
self._inject_notification_configuration(function, bucket)
resources.append(S3Bucket.from_dict(bucket_id, bucket))
return resources
|
[
"def",
"to_cloudformation",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"function",
"=",
"kwargs",
".",
"get",
"(",
"'function'",
")",
"if",
"not",
"function",
":",
"raise",
"TypeError",
"(",
"\"Missing required keyword argument: function\"",
")",
"if",
"'bucket'",
"not",
"in",
"kwargs",
"or",
"kwargs",
"[",
"'bucket'",
"]",
"is",
"None",
":",
"raise",
"TypeError",
"(",
"\"Missing required keyword argument: bucket\"",
")",
"if",
"'bucket_id'",
"not",
"in",
"kwargs",
"or",
"kwargs",
"[",
"'bucket_id'",
"]",
"is",
"None",
":",
"raise",
"TypeError",
"(",
"\"Missing required keyword argument: bucket_id\"",
")",
"bucket",
"=",
"kwargs",
"[",
"'bucket'",
"]",
"bucket_id",
"=",
"kwargs",
"[",
"'bucket_id'",
"]",
"resources",
"=",
"[",
"]",
"source_account",
"=",
"ref",
"(",
"'AWS::AccountId'",
")",
"permission",
"=",
"self",
".",
"_construct_permission",
"(",
"function",
",",
"source_account",
"=",
"source_account",
")",
"if",
"CONDITION",
"in",
"permission",
".",
"resource_attributes",
":",
"self",
".",
"_depend_on_lambda_permissions_using_tag",
"(",
"bucket",
",",
"permission",
")",
"else",
":",
"self",
".",
"_depend_on_lambda_permissions",
"(",
"bucket",
",",
"permission",
")",
"resources",
".",
"append",
"(",
"permission",
")",
"# NOTE: `bucket` here is a dictionary representing the S3 Bucket resource in your SAM template. If there are",
"# multiple S3 Events attached to the same bucket, we will update the Bucket resource with notification",
"# configuration for each event. This is the reason why we continue to use existing bucket dict and append onto",
"# it.",
"#",
"# NOTE: There is some fragile logic here where we will append multiple resources to output",
"# SAM template but de-dupe them when merging into output CFN template. This is scary because the order of",
"# merging is literally \"last one wins\", which works fine because we linearly loop through the template once.",
"# The de-dupe happens inside `samtranslator.translator.Translator.translate` method when merging results of",
"# to_cloudformation() to output template.",
"self",
".",
"_inject_notification_configuration",
"(",
"function",
",",
"bucket",
")",
"resources",
".",
"append",
"(",
"S3Bucket",
".",
"from_dict",
"(",
"bucket_id",
",",
"bucket",
")",
")",
"return",
"resources"
] |
Returns the Lambda Permission resource allowing S3 to invoke the function this event source triggers.
:param dict kwargs: S3 bucket resource
:returns: a list of vanilla CloudFormation Resources, to which this S3 event expands
:rtype: list
|
[
"Returns",
"the",
"Lambda",
"Permission",
"resource",
"allowing",
"S3",
"to",
"invoke",
"the",
"function",
"this",
"event",
"source",
"triggers",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L197-L241
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
S3._depend_on_lambda_permissions
|
def _depend_on_lambda_permissions(self, bucket, permission):
"""
Make the S3 bucket depends on Lambda Permissions resource because when S3 adds a Notification Configuration,
it will check whether it has permissions to access Lambda. This will fail if the Lambda::Permissions is not
already applied for this bucket to invoke the Lambda.
:param dict bucket: Dictionary representing the bucket in SAM template. This is a raw dictionary and not a
"resource" object
:param model.lambda_.lambda_permission permission: Lambda Permission resource that needs to be created before
the bucket.
:return: Modified Bucket dictionary
"""
depends_on = bucket.get("DependsOn", [])
# DependsOn can be either a list of strings or a scalar string
if isinstance(depends_on, string_types):
depends_on = [depends_on]
depends_on_set = set(depends_on)
depends_on_set.add(permission.logical_id)
bucket["DependsOn"] = list(depends_on_set)
return bucket
|
python
|
def _depend_on_lambda_permissions(self, bucket, permission):
"""
Make the S3 bucket depends on Lambda Permissions resource because when S3 adds a Notification Configuration,
it will check whether it has permissions to access Lambda. This will fail if the Lambda::Permissions is not
already applied for this bucket to invoke the Lambda.
:param dict bucket: Dictionary representing the bucket in SAM template. This is a raw dictionary and not a
"resource" object
:param model.lambda_.lambda_permission permission: Lambda Permission resource that needs to be created before
the bucket.
:return: Modified Bucket dictionary
"""
depends_on = bucket.get("DependsOn", [])
# DependsOn can be either a list of strings or a scalar string
if isinstance(depends_on, string_types):
depends_on = [depends_on]
depends_on_set = set(depends_on)
depends_on_set.add(permission.logical_id)
bucket["DependsOn"] = list(depends_on_set)
return bucket
|
[
"def",
"_depend_on_lambda_permissions",
"(",
"self",
",",
"bucket",
",",
"permission",
")",
":",
"depends_on",
"=",
"bucket",
".",
"get",
"(",
"\"DependsOn\"",
",",
"[",
"]",
")",
"# DependsOn can be either a list of strings or a scalar string",
"if",
"isinstance",
"(",
"depends_on",
",",
"string_types",
")",
":",
"depends_on",
"=",
"[",
"depends_on",
"]",
"depends_on_set",
"=",
"set",
"(",
"depends_on",
")",
"depends_on_set",
".",
"add",
"(",
"permission",
".",
"logical_id",
")",
"bucket",
"[",
"\"DependsOn\"",
"]",
"=",
"list",
"(",
"depends_on_set",
")",
"return",
"bucket"
] |
Make the S3 bucket depends on Lambda Permissions resource because when S3 adds a Notification Configuration,
it will check whether it has permissions to access Lambda. This will fail if the Lambda::Permissions is not
already applied for this bucket to invoke the Lambda.
:param dict bucket: Dictionary representing the bucket in SAM template. This is a raw dictionary and not a
"resource" object
:param model.lambda_.lambda_permission permission: Lambda Permission resource that needs to be created before
the bucket.
:return: Modified Bucket dictionary
|
[
"Make",
"the",
"S3",
"bucket",
"depends",
"on",
"Lambda",
"Permissions",
"resource",
"because",
"when",
"S3",
"adds",
"a",
"Notification",
"Configuration",
"it",
"will",
"check",
"whether",
"it",
"has",
"permissions",
"to",
"access",
"Lambda",
".",
"This",
"will",
"fail",
"if",
"the",
"Lambda",
"::",
"Permissions",
"is",
"not",
"already",
"applied",
"for",
"this",
"bucket",
"to",
"invoke",
"the",
"Lambda",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L243-L266
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
S3._depend_on_lambda_permissions_using_tag
|
def _depend_on_lambda_permissions_using_tag(self, bucket, permission):
"""
Since conditional DependsOn is not supported this undocumented way of
implicitely making dependency through tags is used.
See https://stackoverflow.com/questions/34607476/cloudformation-apply-condition-on-dependson
It is done by using Ref wrapped in a conditional Fn::If. Using Ref implies a
dependency, so CloudFormation will automatically wait once it reaches that function, the same
as if you were using a DependsOn.
"""
properties = bucket.get('Properties', None)
if properties is None:
properties = {}
bucket['Properties'] = properties
tags = properties.get('Tags', None)
if tags is None:
tags = []
properties['Tags'] = tags
dep_tag = {
'sam:ConditionalDependsOn:' + permission.logical_id: {
'Fn::If': [
permission.resource_attributes[CONDITION],
ref(permission.logical_id),
'no dependency'
]
}
}
properties['Tags'] = tags + get_tag_list(dep_tag)
return bucket
|
python
|
def _depend_on_lambda_permissions_using_tag(self, bucket, permission):
"""
Since conditional DependsOn is not supported this undocumented way of
implicitely making dependency through tags is used.
See https://stackoverflow.com/questions/34607476/cloudformation-apply-condition-on-dependson
It is done by using Ref wrapped in a conditional Fn::If. Using Ref implies a
dependency, so CloudFormation will automatically wait once it reaches that function, the same
as if you were using a DependsOn.
"""
properties = bucket.get('Properties', None)
if properties is None:
properties = {}
bucket['Properties'] = properties
tags = properties.get('Tags', None)
if tags is None:
tags = []
properties['Tags'] = tags
dep_tag = {
'sam:ConditionalDependsOn:' + permission.logical_id: {
'Fn::If': [
permission.resource_attributes[CONDITION],
ref(permission.logical_id),
'no dependency'
]
}
}
properties['Tags'] = tags + get_tag_list(dep_tag)
return bucket
|
[
"def",
"_depend_on_lambda_permissions_using_tag",
"(",
"self",
",",
"bucket",
",",
"permission",
")",
":",
"properties",
"=",
"bucket",
".",
"get",
"(",
"'Properties'",
",",
"None",
")",
"if",
"properties",
"is",
"None",
":",
"properties",
"=",
"{",
"}",
"bucket",
"[",
"'Properties'",
"]",
"=",
"properties",
"tags",
"=",
"properties",
".",
"get",
"(",
"'Tags'",
",",
"None",
")",
"if",
"tags",
"is",
"None",
":",
"tags",
"=",
"[",
"]",
"properties",
"[",
"'Tags'",
"]",
"=",
"tags",
"dep_tag",
"=",
"{",
"'sam:ConditionalDependsOn:'",
"+",
"permission",
".",
"logical_id",
":",
"{",
"'Fn::If'",
":",
"[",
"permission",
".",
"resource_attributes",
"[",
"CONDITION",
"]",
",",
"ref",
"(",
"permission",
".",
"logical_id",
")",
",",
"'no dependency'",
"]",
"}",
"}",
"properties",
"[",
"'Tags'",
"]",
"=",
"tags",
"+",
"get_tag_list",
"(",
"dep_tag",
")",
"return",
"bucket"
] |
Since conditional DependsOn is not supported this undocumented way of
implicitely making dependency through tags is used.
See https://stackoverflow.com/questions/34607476/cloudformation-apply-condition-on-dependson
It is done by using Ref wrapped in a conditional Fn::If. Using Ref implies a
dependency, so CloudFormation will automatically wait once it reaches that function, the same
as if you were using a DependsOn.
|
[
"Since",
"conditional",
"DependsOn",
"is",
"not",
"supported",
"this",
"undocumented",
"way",
"of",
"implicitely",
"making",
"dependency",
"through",
"tags",
"is",
"used",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L268-L297
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
SNS.to_cloudformation
|
def to_cloudformation(self, **kwargs):
"""Returns the Lambda Permission resource allowing SNS to invoke the function this event source triggers.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this SNS event expands
:rtype: list
"""
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
return [self._construct_permission(function, source_arn=self.Topic),
self._inject_subscription(function, self.Topic, self.FilterPolicy)]
|
python
|
def to_cloudformation(self, **kwargs):
"""Returns the Lambda Permission resource allowing SNS to invoke the function this event source triggers.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this SNS event expands
:rtype: list
"""
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
return [self._construct_permission(function, source_arn=self.Topic),
self._inject_subscription(function, self.Topic, self.FilterPolicy)]
|
[
"def",
"to_cloudformation",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"function",
"=",
"kwargs",
".",
"get",
"(",
"'function'",
")",
"if",
"not",
"function",
":",
"raise",
"TypeError",
"(",
"\"Missing required keyword argument: function\"",
")",
"return",
"[",
"self",
".",
"_construct_permission",
"(",
"function",
",",
"source_arn",
"=",
"self",
".",
"Topic",
")",
",",
"self",
".",
"_inject_subscription",
"(",
"function",
",",
"self",
".",
"Topic",
",",
"self",
".",
"FilterPolicy",
")",
"]"
] |
Returns the Lambda Permission resource allowing SNS to invoke the function this event source triggers.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this SNS event expands
:rtype: list
|
[
"Returns",
"the",
"Lambda",
"Permission",
"resource",
"allowing",
"SNS",
"to",
"invoke",
"the",
"function",
"this",
"event",
"source",
"triggers",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L350-L363
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
Api.resources_to_link
|
def resources_to_link(self, resources):
"""
If this API Event Source refers to an explicit API resource, resolve the reference and grab
necessary data from the explicit API
"""
rest_api_id = self.RestApiId
if isinstance(rest_api_id, dict) and "Ref" in rest_api_id:
rest_api_id = rest_api_id["Ref"]
# If RestApiId is a resource in the same template, then we try find the StageName by following the reference
# Otherwise we default to a wildcard. This stage name is solely used to construct the permission to
# allow this stage to invoke the Lambda function. If we are unable to resolve the stage name, we will
# simply permit all stages to invoke this Lambda function
# This hack is necessary because customers could use !ImportValue, !Ref or other intrinsic functions which
# can be sometimes impossible to resolve (ie. when it has cross-stack references)
permitted_stage = "*"
stage_suffix = "AllStages"
explicit_api = None
if isinstance(rest_api_id, string_types):
if rest_api_id in resources \
and "Properties" in resources[rest_api_id] \
and "StageName" in resources[rest_api_id]["Properties"]:
explicit_api = resources[rest_api_id]["Properties"]
permitted_stage = explicit_api["StageName"]
# Stage could be a intrinsic, in which case leave the suffix to default value
if isinstance(permitted_stage, string_types):
if not permitted_stage:
raise InvalidResourceException(rest_api_id, 'StageName cannot be empty.')
stage_suffix = permitted_stage
else:
stage_suffix = "Stage"
else:
# RestApiId is a string, not an intrinsic, but we did not find a valid API resource for this ID
raise InvalidEventException(self.relative_id, "RestApiId property of Api event must reference a valid "
"resource in the same template.")
return {
'explicit_api': explicit_api,
'explicit_api_stage': {
'permitted_stage': permitted_stage,
'suffix': stage_suffix
}
}
|
python
|
def resources_to_link(self, resources):
"""
If this API Event Source refers to an explicit API resource, resolve the reference and grab
necessary data from the explicit API
"""
rest_api_id = self.RestApiId
if isinstance(rest_api_id, dict) and "Ref" in rest_api_id:
rest_api_id = rest_api_id["Ref"]
# If RestApiId is a resource in the same template, then we try find the StageName by following the reference
# Otherwise we default to a wildcard. This stage name is solely used to construct the permission to
# allow this stage to invoke the Lambda function. If we are unable to resolve the stage name, we will
# simply permit all stages to invoke this Lambda function
# This hack is necessary because customers could use !ImportValue, !Ref or other intrinsic functions which
# can be sometimes impossible to resolve (ie. when it has cross-stack references)
permitted_stage = "*"
stage_suffix = "AllStages"
explicit_api = None
if isinstance(rest_api_id, string_types):
if rest_api_id in resources \
and "Properties" in resources[rest_api_id] \
and "StageName" in resources[rest_api_id]["Properties"]:
explicit_api = resources[rest_api_id]["Properties"]
permitted_stage = explicit_api["StageName"]
# Stage could be a intrinsic, in which case leave the suffix to default value
if isinstance(permitted_stage, string_types):
if not permitted_stage:
raise InvalidResourceException(rest_api_id, 'StageName cannot be empty.')
stage_suffix = permitted_stage
else:
stage_suffix = "Stage"
else:
# RestApiId is a string, not an intrinsic, but we did not find a valid API resource for this ID
raise InvalidEventException(self.relative_id, "RestApiId property of Api event must reference a valid "
"resource in the same template.")
return {
'explicit_api': explicit_api,
'explicit_api_stage': {
'permitted_stage': permitted_stage,
'suffix': stage_suffix
}
}
|
[
"def",
"resources_to_link",
"(",
"self",
",",
"resources",
")",
":",
"rest_api_id",
"=",
"self",
".",
"RestApiId",
"if",
"isinstance",
"(",
"rest_api_id",
",",
"dict",
")",
"and",
"\"Ref\"",
"in",
"rest_api_id",
":",
"rest_api_id",
"=",
"rest_api_id",
"[",
"\"Ref\"",
"]",
"# If RestApiId is a resource in the same template, then we try find the StageName by following the reference",
"# Otherwise we default to a wildcard. This stage name is solely used to construct the permission to",
"# allow this stage to invoke the Lambda function. If we are unable to resolve the stage name, we will",
"# simply permit all stages to invoke this Lambda function",
"# This hack is necessary because customers could use !ImportValue, !Ref or other intrinsic functions which",
"# can be sometimes impossible to resolve (ie. when it has cross-stack references)",
"permitted_stage",
"=",
"\"*\"",
"stage_suffix",
"=",
"\"AllStages\"",
"explicit_api",
"=",
"None",
"if",
"isinstance",
"(",
"rest_api_id",
",",
"string_types",
")",
":",
"if",
"rest_api_id",
"in",
"resources",
"and",
"\"Properties\"",
"in",
"resources",
"[",
"rest_api_id",
"]",
"and",
"\"StageName\"",
"in",
"resources",
"[",
"rest_api_id",
"]",
"[",
"\"Properties\"",
"]",
":",
"explicit_api",
"=",
"resources",
"[",
"rest_api_id",
"]",
"[",
"\"Properties\"",
"]",
"permitted_stage",
"=",
"explicit_api",
"[",
"\"StageName\"",
"]",
"# Stage could be a intrinsic, in which case leave the suffix to default value",
"if",
"isinstance",
"(",
"permitted_stage",
",",
"string_types",
")",
":",
"if",
"not",
"permitted_stage",
":",
"raise",
"InvalidResourceException",
"(",
"rest_api_id",
",",
"'StageName cannot be empty.'",
")",
"stage_suffix",
"=",
"permitted_stage",
"else",
":",
"stage_suffix",
"=",
"\"Stage\"",
"else",
":",
"# RestApiId is a string, not an intrinsic, but we did not find a valid API resource for this ID",
"raise",
"InvalidEventException",
"(",
"self",
".",
"relative_id",
",",
"\"RestApiId property of Api event must reference a valid \"",
"\"resource in the same template.\"",
")",
"return",
"{",
"'explicit_api'",
":",
"explicit_api",
",",
"'explicit_api_stage'",
":",
"{",
"'permitted_stage'",
":",
"permitted_stage",
",",
"'suffix'",
":",
"stage_suffix",
"}",
"}"
] |
If this API Event Source refers to an explicit API resource, resolve the reference and grab
necessary data from the explicit API
|
[
"If",
"this",
"API",
"Event",
"Source",
"refers",
"to",
"an",
"explicit",
"API",
"resource",
"resolve",
"the",
"reference",
"and",
"grab",
"necessary",
"data",
"from",
"the",
"explicit",
"API"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L392-L439
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
Api.to_cloudformation
|
def to_cloudformation(self, **kwargs):
"""If the Api event source has a RestApi property, then simply return the Lambda Permission resource allowing
API Gateway to call the function. If no RestApi is provided, then additionally inject the path, method, and the
x-amazon-apigateway-integration into the Swagger body for a provided implicit API.
:param dict kwargs: a dict containing the implicit RestApi to be modified, should no explicit RestApi \
be provided.
:returns: a list of vanilla CloudFormation Resources, to which this Api event expands
:rtype: list
"""
resources = []
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
if self.Method is not None:
# Convert to lower case so that user can specify either GET or get
self.Method = self.Method.lower()
resources.extend(self._get_permissions(kwargs))
explicit_api = kwargs['explicit_api']
if explicit_api.get("__MANAGE_SWAGGER"):
self._add_swagger_integration(explicit_api, function)
return resources
|
python
|
def to_cloudformation(self, **kwargs):
"""If the Api event source has a RestApi property, then simply return the Lambda Permission resource allowing
API Gateway to call the function. If no RestApi is provided, then additionally inject the path, method, and the
x-amazon-apigateway-integration into the Swagger body for a provided implicit API.
:param dict kwargs: a dict containing the implicit RestApi to be modified, should no explicit RestApi \
be provided.
:returns: a list of vanilla CloudFormation Resources, to which this Api event expands
:rtype: list
"""
resources = []
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
if self.Method is not None:
# Convert to lower case so that user can specify either GET or get
self.Method = self.Method.lower()
resources.extend(self._get_permissions(kwargs))
explicit_api = kwargs['explicit_api']
if explicit_api.get("__MANAGE_SWAGGER"):
self._add_swagger_integration(explicit_api, function)
return resources
|
[
"def",
"to_cloudformation",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"resources",
"=",
"[",
"]",
"function",
"=",
"kwargs",
".",
"get",
"(",
"'function'",
")",
"if",
"not",
"function",
":",
"raise",
"TypeError",
"(",
"\"Missing required keyword argument: function\"",
")",
"if",
"self",
".",
"Method",
"is",
"not",
"None",
":",
"# Convert to lower case so that user can specify either GET or get",
"self",
".",
"Method",
"=",
"self",
".",
"Method",
".",
"lower",
"(",
")",
"resources",
".",
"extend",
"(",
"self",
".",
"_get_permissions",
"(",
"kwargs",
")",
")",
"explicit_api",
"=",
"kwargs",
"[",
"'explicit_api'",
"]",
"if",
"explicit_api",
".",
"get",
"(",
"\"__MANAGE_SWAGGER\"",
")",
":",
"self",
".",
"_add_swagger_integration",
"(",
"explicit_api",
",",
"function",
")",
"return",
"resources"
] |
If the Api event source has a RestApi property, then simply return the Lambda Permission resource allowing
API Gateway to call the function. If no RestApi is provided, then additionally inject the path, method, and the
x-amazon-apigateway-integration into the Swagger body for a provided implicit API.
:param dict kwargs: a dict containing the implicit RestApi to be modified, should no explicit RestApi \
be provided.
:returns: a list of vanilla CloudFormation Resources, to which this Api event expands
:rtype: list
|
[
"If",
"the",
"Api",
"event",
"source",
"has",
"a",
"RestApi",
"property",
"then",
"simply",
"return",
"the",
"Lambda",
"Permission",
"resource",
"allowing",
"API",
"Gateway",
"to",
"call",
"the",
"function",
".",
"If",
"no",
"RestApi",
"is",
"provided",
"then",
"additionally",
"inject",
"the",
"path",
"method",
"and",
"the",
"x",
"-",
"amazon",
"-",
"apigateway",
"-",
"integration",
"into",
"the",
"Swagger",
"body",
"for",
"a",
"provided",
"implicit",
"API",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L441-L468
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/push.py
|
Api._add_swagger_integration
|
def _add_swagger_integration(self, api, function):
"""Adds the path and method for this Api event source to the Swagger body for the provided RestApi.
:param model.apigateway.ApiGatewayRestApi rest_api: the RestApi to which the path and method should be added.
"""
swagger_body = api.get("DefinitionBody")
if swagger_body is None:
return
function_arn = function.get_runtime_attr('arn')
partition = ArnGenerator.get_partition_name()
uri = fnSub('arn:' + partition + ':apigateway:${AWS::Region}:lambda:path/2015-03-31/functions/' +
make_shorthand(function_arn) + '/invocations')
editor = SwaggerEditor(swagger_body)
if editor.has_integration(self.Path, self.Method):
# Cannot add the Lambda Integration, if it is already present
raise InvalidEventException(
self.relative_id,
'API method "{method}" defined multiple times for path "{path}".'.format(
method=self.Method, path=self.Path))
condition = None
if CONDITION in function.resource_attributes:
condition = function.resource_attributes[CONDITION]
editor.add_lambda_integration(self.Path, self.Method, uri, self.Auth, api.get('Auth'), condition=condition)
if self.Auth:
method_authorizer = self.Auth.get('Authorizer')
if method_authorizer:
api_auth = api.get('Auth')
api_authorizers = api_auth and api_auth.get('Authorizers')
if method_authorizer != 'AWS_IAM':
if not api_authorizers:
raise InvalidEventException(
self.relative_id,
'Unable to set Authorizer [{authorizer}] on API method [{method}] for path [{path}] '
'because the related API does not define any Authorizers.'.format(
authorizer=method_authorizer, method=self.Method, path=self.Path))
if method_authorizer != 'NONE' and not api_authorizers.get(method_authorizer):
raise InvalidEventException(
self.relative_id,
'Unable to set Authorizer [{authorizer}] on API method [{method}] for path [{path}] '
'because it wasn\'t defined in the API\'s Authorizers.'.format(
authorizer=method_authorizer, method=self.Method, path=self.Path))
if method_authorizer == 'NONE' and not api_auth.get('DefaultAuthorizer'):
raise InvalidEventException(
self.relative_id,
'Unable to set Authorizer on API method [{method}] for path [{path}] because \'NONE\' '
'is only a valid value when a DefaultAuthorizer on the API is specified.'.format(
method=self.Method, path=self.Path))
editor.add_auth_to_method(api=api, path=self.Path, method_name=self.Method, auth=self.Auth)
api["DefinitionBody"] = editor.swagger
|
python
|
def _add_swagger_integration(self, api, function):
"""Adds the path and method for this Api event source to the Swagger body for the provided RestApi.
:param model.apigateway.ApiGatewayRestApi rest_api: the RestApi to which the path and method should be added.
"""
swagger_body = api.get("DefinitionBody")
if swagger_body is None:
return
function_arn = function.get_runtime_attr('arn')
partition = ArnGenerator.get_partition_name()
uri = fnSub('arn:' + partition + ':apigateway:${AWS::Region}:lambda:path/2015-03-31/functions/' +
make_shorthand(function_arn) + '/invocations')
editor = SwaggerEditor(swagger_body)
if editor.has_integration(self.Path, self.Method):
# Cannot add the Lambda Integration, if it is already present
raise InvalidEventException(
self.relative_id,
'API method "{method}" defined multiple times for path "{path}".'.format(
method=self.Method, path=self.Path))
condition = None
if CONDITION in function.resource_attributes:
condition = function.resource_attributes[CONDITION]
editor.add_lambda_integration(self.Path, self.Method, uri, self.Auth, api.get('Auth'), condition=condition)
if self.Auth:
method_authorizer = self.Auth.get('Authorizer')
if method_authorizer:
api_auth = api.get('Auth')
api_authorizers = api_auth and api_auth.get('Authorizers')
if method_authorizer != 'AWS_IAM':
if not api_authorizers:
raise InvalidEventException(
self.relative_id,
'Unable to set Authorizer [{authorizer}] on API method [{method}] for path [{path}] '
'because the related API does not define any Authorizers.'.format(
authorizer=method_authorizer, method=self.Method, path=self.Path))
if method_authorizer != 'NONE' and not api_authorizers.get(method_authorizer):
raise InvalidEventException(
self.relative_id,
'Unable to set Authorizer [{authorizer}] on API method [{method}] for path [{path}] '
'because it wasn\'t defined in the API\'s Authorizers.'.format(
authorizer=method_authorizer, method=self.Method, path=self.Path))
if method_authorizer == 'NONE' and not api_auth.get('DefaultAuthorizer'):
raise InvalidEventException(
self.relative_id,
'Unable to set Authorizer on API method [{method}] for path [{path}] because \'NONE\' '
'is only a valid value when a DefaultAuthorizer on the API is specified.'.format(
method=self.Method, path=self.Path))
editor.add_auth_to_method(api=api, path=self.Path, method_name=self.Method, auth=self.Auth)
api["DefinitionBody"] = editor.swagger
|
[
"def",
"_add_swagger_integration",
"(",
"self",
",",
"api",
",",
"function",
")",
":",
"swagger_body",
"=",
"api",
".",
"get",
"(",
"\"DefinitionBody\"",
")",
"if",
"swagger_body",
"is",
"None",
":",
"return",
"function_arn",
"=",
"function",
".",
"get_runtime_attr",
"(",
"'arn'",
")",
"partition",
"=",
"ArnGenerator",
".",
"get_partition_name",
"(",
")",
"uri",
"=",
"fnSub",
"(",
"'arn:'",
"+",
"partition",
"+",
"':apigateway:${AWS::Region}:lambda:path/2015-03-31/functions/'",
"+",
"make_shorthand",
"(",
"function_arn",
")",
"+",
"'/invocations'",
")",
"editor",
"=",
"SwaggerEditor",
"(",
"swagger_body",
")",
"if",
"editor",
".",
"has_integration",
"(",
"self",
".",
"Path",
",",
"self",
".",
"Method",
")",
":",
"# Cannot add the Lambda Integration, if it is already present",
"raise",
"InvalidEventException",
"(",
"self",
".",
"relative_id",
",",
"'API method \"{method}\" defined multiple times for path \"{path}\".'",
".",
"format",
"(",
"method",
"=",
"self",
".",
"Method",
",",
"path",
"=",
"self",
".",
"Path",
")",
")",
"condition",
"=",
"None",
"if",
"CONDITION",
"in",
"function",
".",
"resource_attributes",
":",
"condition",
"=",
"function",
".",
"resource_attributes",
"[",
"CONDITION",
"]",
"editor",
".",
"add_lambda_integration",
"(",
"self",
".",
"Path",
",",
"self",
".",
"Method",
",",
"uri",
",",
"self",
".",
"Auth",
",",
"api",
".",
"get",
"(",
"'Auth'",
")",
",",
"condition",
"=",
"condition",
")",
"if",
"self",
".",
"Auth",
":",
"method_authorizer",
"=",
"self",
".",
"Auth",
".",
"get",
"(",
"'Authorizer'",
")",
"if",
"method_authorizer",
":",
"api_auth",
"=",
"api",
".",
"get",
"(",
"'Auth'",
")",
"api_authorizers",
"=",
"api_auth",
"and",
"api_auth",
".",
"get",
"(",
"'Authorizers'",
")",
"if",
"method_authorizer",
"!=",
"'AWS_IAM'",
":",
"if",
"not",
"api_authorizers",
":",
"raise",
"InvalidEventException",
"(",
"self",
".",
"relative_id",
",",
"'Unable to set Authorizer [{authorizer}] on API method [{method}] for path [{path}] '",
"'because the related API does not define any Authorizers.'",
".",
"format",
"(",
"authorizer",
"=",
"method_authorizer",
",",
"method",
"=",
"self",
".",
"Method",
",",
"path",
"=",
"self",
".",
"Path",
")",
")",
"if",
"method_authorizer",
"!=",
"'NONE'",
"and",
"not",
"api_authorizers",
".",
"get",
"(",
"method_authorizer",
")",
":",
"raise",
"InvalidEventException",
"(",
"self",
".",
"relative_id",
",",
"'Unable to set Authorizer [{authorizer}] on API method [{method}] for path [{path}] '",
"'because it wasn\\'t defined in the API\\'s Authorizers.'",
".",
"format",
"(",
"authorizer",
"=",
"method_authorizer",
",",
"method",
"=",
"self",
".",
"Method",
",",
"path",
"=",
"self",
".",
"Path",
")",
")",
"if",
"method_authorizer",
"==",
"'NONE'",
"and",
"not",
"api_auth",
".",
"get",
"(",
"'DefaultAuthorizer'",
")",
":",
"raise",
"InvalidEventException",
"(",
"self",
".",
"relative_id",
",",
"'Unable to set Authorizer on API method [{method}] for path [{path}] because \\'NONE\\' '",
"'is only a valid value when a DefaultAuthorizer on the API is specified.'",
".",
"format",
"(",
"method",
"=",
"self",
".",
"Method",
",",
"path",
"=",
"self",
".",
"Path",
")",
")",
"editor",
".",
"add_auth_to_method",
"(",
"api",
"=",
"api",
",",
"path",
"=",
"self",
".",
"Path",
",",
"method_name",
"=",
"self",
".",
"Method",
",",
"auth",
"=",
"self",
".",
"Auth",
")",
"api",
"[",
"\"DefinitionBody\"",
"]",
"=",
"editor",
".",
"swagger"
] |
Adds the path and method for this Api event source to the Swagger body for the provided RestApi.
:param model.apigateway.ApiGatewayRestApi rest_api: the RestApi to which the path and method should be added.
|
[
"Adds",
"the",
"path",
"and",
"method",
"for",
"this",
"Api",
"event",
"source",
"to",
"the",
"Swagger",
"body",
"for",
"the",
"provided",
"RestApi",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/push.py#L507-L567
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver.resolve_parameter_refs
|
def resolve_parameter_refs(self, input):
"""
Resolves references to parameters within the given dictionary recursively. Other intrinsic functions such as
!GetAtt, !Sub or !Ref to non-parameters will be left untouched.
Result is a dictionary where parameter values are inlined. Don't pass this dictionary directly into
transform's output because it changes the template structure by inlining parameter values.
:param input: Any primitive type (dict, array, string etc) whose values might contain intrinsic functions
:return: A copy of a dictionary with parameter references replaced by actual value.
"""
return self._traverse(input, self.parameters, self._try_resolve_parameter_refs)
|
python
|
def resolve_parameter_refs(self, input):
"""
Resolves references to parameters within the given dictionary recursively. Other intrinsic functions such as
!GetAtt, !Sub or !Ref to non-parameters will be left untouched.
Result is a dictionary where parameter values are inlined. Don't pass this dictionary directly into
transform's output because it changes the template structure by inlining parameter values.
:param input: Any primitive type (dict, array, string etc) whose values might contain intrinsic functions
:return: A copy of a dictionary with parameter references replaced by actual value.
"""
return self._traverse(input, self.parameters, self._try_resolve_parameter_refs)
|
[
"def",
"resolve_parameter_refs",
"(",
"self",
",",
"input",
")",
":",
"return",
"self",
".",
"_traverse",
"(",
"input",
",",
"self",
".",
"parameters",
",",
"self",
".",
"_try_resolve_parameter_refs",
")"
] |
Resolves references to parameters within the given dictionary recursively. Other intrinsic functions such as
!GetAtt, !Sub or !Ref to non-parameters will be left untouched.
Result is a dictionary where parameter values are inlined. Don't pass this dictionary directly into
transform's output because it changes the template structure by inlining parameter values.
:param input: Any primitive type (dict, array, string etc) whose values might contain intrinsic functions
:return: A copy of a dictionary with parameter references replaced by actual value.
|
[
"Resolves",
"references",
"to",
"parameters",
"within",
"the",
"given",
"dictionary",
"recursively",
".",
"Other",
"intrinsic",
"functions",
"such",
"as",
"!GetAtt",
"!Sub",
"or",
"!Ref",
"to",
"non",
"-",
"parameters",
"will",
"be",
"left",
"untouched",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L30-L41
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver.resolve_sam_resource_refs
|
def resolve_sam_resource_refs(self, input, supported_resource_refs):
"""
Customers can provide a reference to a "derived" SAM resource such as Alias of a Function or Stage of an API
resource. This method recursively walks the tree, converting all derived references to the real resource name,
if it is present.
Example:
{"Ref": "MyFunction.Alias"} -> {"Ref": "MyFunctionAliasLive"}
This method does not attempt to validate a reference. If it is invalid or non-resolvable, it skips the
occurrence and continues with the rest. It is recommended that you have an external process that detects and
surfaces invalid references.
For first call, it is recommended that `template` is the entire CFN template in order to handle
references in Mapping or Output sections.
:param dict input: CFN template that needs resolution. This method will modify the input
directly resolving references. In subsequent recursions, this will be a fragment of the CFN template.
:param SupportedResourceReferences supported_resource_refs: Object that contains information about the resource
references supported in this SAM template, along with the value they should resolve to.
:return list errors: List of dictionary containing information about invalid reference. Empty list otherwise
"""
return self._traverse(input, supported_resource_refs, self._try_resolve_sam_resource_refs)
|
python
|
def resolve_sam_resource_refs(self, input, supported_resource_refs):
"""
Customers can provide a reference to a "derived" SAM resource such as Alias of a Function or Stage of an API
resource. This method recursively walks the tree, converting all derived references to the real resource name,
if it is present.
Example:
{"Ref": "MyFunction.Alias"} -> {"Ref": "MyFunctionAliasLive"}
This method does not attempt to validate a reference. If it is invalid or non-resolvable, it skips the
occurrence and continues with the rest. It is recommended that you have an external process that detects and
surfaces invalid references.
For first call, it is recommended that `template` is the entire CFN template in order to handle
references in Mapping or Output sections.
:param dict input: CFN template that needs resolution. This method will modify the input
directly resolving references. In subsequent recursions, this will be a fragment of the CFN template.
:param SupportedResourceReferences supported_resource_refs: Object that contains information about the resource
references supported in this SAM template, along with the value they should resolve to.
:return list errors: List of dictionary containing information about invalid reference. Empty list otherwise
"""
return self._traverse(input, supported_resource_refs, self._try_resolve_sam_resource_refs)
|
[
"def",
"resolve_sam_resource_refs",
"(",
"self",
",",
"input",
",",
"supported_resource_refs",
")",
":",
"return",
"self",
".",
"_traverse",
"(",
"input",
",",
"supported_resource_refs",
",",
"self",
".",
"_try_resolve_sam_resource_refs",
")"
] |
Customers can provide a reference to a "derived" SAM resource such as Alias of a Function or Stage of an API
resource. This method recursively walks the tree, converting all derived references to the real resource name,
if it is present.
Example:
{"Ref": "MyFunction.Alias"} -> {"Ref": "MyFunctionAliasLive"}
This method does not attempt to validate a reference. If it is invalid or non-resolvable, it skips the
occurrence and continues with the rest. It is recommended that you have an external process that detects and
surfaces invalid references.
For first call, it is recommended that `template` is the entire CFN template in order to handle
references in Mapping or Output sections.
:param dict input: CFN template that needs resolution. This method will modify the input
directly resolving references. In subsequent recursions, this will be a fragment of the CFN template.
:param SupportedResourceReferences supported_resource_refs: Object that contains information about the resource
references supported in this SAM template, along with the value they should resolve to.
:return list errors: List of dictionary containing information about invalid reference. Empty list otherwise
|
[
"Customers",
"can",
"provide",
"a",
"reference",
"to",
"a",
"derived",
"SAM",
"resource",
"such",
"as",
"Alias",
"of",
"a",
"Function",
"or",
"Stage",
"of",
"an",
"API",
"resource",
".",
"This",
"method",
"recursively",
"walks",
"the",
"tree",
"converting",
"all",
"derived",
"references",
"to",
"the",
"real",
"resource",
"name",
"if",
"it",
"is",
"present",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L43-L65
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver.resolve_sam_resource_id_refs
|
def resolve_sam_resource_id_refs(self, input, supported_resource_id_refs):
"""
Some SAM resources have their logical ids mutated from the original id that the customer writes in the
template. This method recursively walks the tree and updates these logical ids from the old value
to the new value that is generated by SAM.
Example:
{"Ref": "MyLayer"} -> {"Ref": "MyLayerABC123"}
This method does not attempt to validate a reference. If it is invalid or non-resolvable, it skips the
occurrence and continues with the rest. It is recommended that you have an external process that detects and
surfaces invalid references.
For first call, it is recommended that `template` is the entire CFN template in order to handle
references in Mapping or Output sections.
:param dict input: CFN template that needs resolution. This method will modify the input
directly resolving references. In subsequent recursions, this will be a fragment of the CFN template.
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return list errors: List of dictionary containing information about invalid reference. Empty list otherwise
"""
return self._traverse(input, supported_resource_id_refs, self._try_resolve_sam_resource_id_refs)
|
python
|
def resolve_sam_resource_id_refs(self, input, supported_resource_id_refs):
"""
Some SAM resources have their logical ids mutated from the original id that the customer writes in the
template. This method recursively walks the tree and updates these logical ids from the old value
to the new value that is generated by SAM.
Example:
{"Ref": "MyLayer"} -> {"Ref": "MyLayerABC123"}
This method does not attempt to validate a reference. If it is invalid or non-resolvable, it skips the
occurrence and continues with the rest. It is recommended that you have an external process that detects and
surfaces invalid references.
For first call, it is recommended that `template` is the entire CFN template in order to handle
references in Mapping or Output sections.
:param dict input: CFN template that needs resolution. This method will modify the input
directly resolving references. In subsequent recursions, this will be a fragment of the CFN template.
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return list errors: List of dictionary containing information about invalid reference. Empty list otherwise
"""
return self._traverse(input, supported_resource_id_refs, self._try_resolve_sam_resource_id_refs)
|
[
"def",
"resolve_sam_resource_id_refs",
"(",
"self",
",",
"input",
",",
"supported_resource_id_refs",
")",
":",
"return",
"self",
".",
"_traverse",
"(",
"input",
",",
"supported_resource_id_refs",
",",
"self",
".",
"_try_resolve_sam_resource_id_refs",
")"
] |
Some SAM resources have their logical ids mutated from the original id that the customer writes in the
template. This method recursively walks the tree and updates these logical ids from the old value
to the new value that is generated by SAM.
Example:
{"Ref": "MyLayer"} -> {"Ref": "MyLayerABC123"}
This method does not attempt to validate a reference. If it is invalid or non-resolvable, it skips the
occurrence and continues with the rest. It is recommended that you have an external process that detects and
surfaces invalid references.
For first call, it is recommended that `template` is the entire CFN template in order to handle
references in Mapping or Output sections.
:param dict input: CFN template that needs resolution. This method will modify the input
directly resolving references. In subsequent recursions, this will be a fragment of the CFN template.
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return list errors: List of dictionary containing information about invalid reference. Empty list otherwise
|
[
"Some",
"SAM",
"resources",
"have",
"their",
"logical",
"ids",
"mutated",
"from",
"the",
"original",
"id",
"that",
"the",
"customer",
"writes",
"in",
"the",
"template",
".",
"This",
"method",
"recursively",
"walks",
"the",
"tree",
"and",
"updates",
"these",
"logical",
"ids",
"from",
"the",
"old",
"value",
"to",
"the",
"new",
"value",
"that",
"is",
"generated",
"by",
"SAM",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L67-L88
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver._traverse
|
def _traverse(self, input, resolution_data, resolver_method):
"""
Driver method that performs the actual traversal of input and calls the appropriate `resolver_method` when
to perform the resolution.
:param input: Any primitive type (dict, array, string etc) whose value might contain an intrinsic function
:param resolution_data: Data that will help with resolution. For example, when resolving parameter references,
this object will contain a dictionary of parameter names and their values.
:param resolver_method: Method that will be called to actually resolve an intrinsic function. This method
is called with the parameters `(input, resolution_data)`.
:return: Modified `input` with intrinsics resolved
"""
# There is data to help with resolution. Skip the traversal altogether
if len(resolution_data) == 0:
return input
#
# Traversal Algorithm:
#
# Imagine the input dictionary/list as a tree. We are doing a Pre-Order tree traversal here where we first
# process the root node before going to its children. Dict and Lists are the only two iterable nodes.
# Everything else is a leaf node.
#
# We do a Pre-Order traversal to handle the case where `input` contains intrinsic function as its only child
# ie. input = {"Ref": "foo}.
#
# We will try to resolve the intrinsics if we can, otherwise return the original input. In some cases, resolving
# an intrinsic will result in a terminal state ie. {"Ref": "foo"} could resolve to a string "bar". In other
# cases, resolving intrinsics is only partial and we might need to continue traversing the tree (ex: Fn::Sub)
# to handle nested intrinsics. All of these cases lend well towards a Pre-Order traversal where we try and
# process the intrinsic, which results in a modified sub-tree to traverse.
#
input = resolver_method(input, resolution_data)
if isinstance(input, dict):
return self._traverse_dict(input, resolution_data, resolver_method)
elif isinstance(input, list):
return self._traverse_list(input, resolution_data, resolver_method)
else:
# We can iterate only over dict or list types. Primitive types are terminals
return input
|
python
|
def _traverse(self, input, resolution_data, resolver_method):
"""
Driver method that performs the actual traversal of input and calls the appropriate `resolver_method` when
to perform the resolution.
:param input: Any primitive type (dict, array, string etc) whose value might contain an intrinsic function
:param resolution_data: Data that will help with resolution. For example, when resolving parameter references,
this object will contain a dictionary of parameter names and their values.
:param resolver_method: Method that will be called to actually resolve an intrinsic function. This method
is called with the parameters `(input, resolution_data)`.
:return: Modified `input` with intrinsics resolved
"""
# There is data to help with resolution. Skip the traversal altogether
if len(resolution_data) == 0:
return input
#
# Traversal Algorithm:
#
# Imagine the input dictionary/list as a tree. We are doing a Pre-Order tree traversal here where we first
# process the root node before going to its children. Dict and Lists are the only two iterable nodes.
# Everything else is a leaf node.
#
# We do a Pre-Order traversal to handle the case where `input` contains intrinsic function as its only child
# ie. input = {"Ref": "foo}.
#
# We will try to resolve the intrinsics if we can, otherwise return the original input. In some cases, resolving
# an intrinsic will result in a terminal state ie. {"Ref": "foo"} could resolve to a string "bar". In other
# cases, resolving intrinsics is only partial and we might need to continue traversing the tree (ex: Fn::Sub)
# to handle nested intrinsics. All of these cases lend well towards a Pre-Order traversal where we try and
# process the intrinsic, which results in a modified sub-tree to traverse.
#
input = resolver_method(input, resolution_data)
if isinstance(input, dict):
return self._traverse_dict(input, resolution_data, resolver_method)
elif isinstance(input, list):
return self._traverse_list(input, resolution_data, resolver_method)
else:
# We can iterate only over dict or list types. Primitive types are terminals
return input
|
[
"def",
"_traverse",
"(",
"self",
",",
"input",
",",
"resolution_data",
",",
"resolver_method",
")",
":",
"# There is data to help with resolution. Skip the traversal altogether",
"if",
"len",
"(",
"resolution_data",
")",
"==",
"0",
":",
"return",
"input",
"#",
"# Traversal Algorithm:",
"#",
"# Imagine the input dictionary/list as a tree. We are doing a Pre-Order tree traversal here where we first",
"# process the root node before going to its children. Dict and Lists are the only two iterable nodes.",
"# Everything else is a leaf node.",
"#",
"# We do a Pre-Order traversal to handle the case where `input` contains intrinsic function as its only child",
"# ie. input = {\"Ref\": \"foo}.",
"#",
"# We will try to resolve the intrinsics if we can, otherwise return the original input. In some cases, resolving",
"# an intrinsic will result in a terminal state ie. {\"Ref\": \"foo\"} could resolve to a string \"bar\". In other",
"# cases, resolving intrinsics is only partial and we might need to continue traversing the tree (ex: Fn::Sub)",
"# to handle nested intrinsics. All of these cases lend well towards a Pre-Order traversal where we try and",
"# process the intrinsic, which results in a modified sub-tree to traverse.",
"#",
"input",
"=",
"resolver_method",
"(",
"input",
",",
"resolution_data",
")",
"if",
"isinstance",
"(",
"input",
",",
"dict",
")",
":",
"return",
"self",
".",
"_traverse_dict",
"(",
"input",
",",
"resolution_data",
",",
"resolver_method",
")",
"elif",
"isinstance",
"(",
"input",
",",
"list",
")",
":",
"return",
"self",
".",
"_traverse_list",
"(",
"input",
",",
"resolution_data",
",",
"resolver_method",
")",
"else",
":",
"# We can iterate only over dict or list types. Primitive types are terminals",
"return",
"input"
] |
Driver method that performs the actual traversal of input and calls the appropriate `resolver_method` when
to perform the resolution.
:param input: Any primitive type (dict, array, string etc) whose value might contain an intrinsic function
:param resolution_data: Data that will help with resolution. For example, when resolving parameter references,
this object will contain a dictionary of parameter names and their values.
:param resolver_method: Method that will be called to actually resolve an intrinsic function. This method
is called with the parameters `(input, resolution_data)`.
:return: Modified `input` with intrinsics resolved
|
[
"Driver",
"method",
"that",
"performs",
"the",
"actual",
"traversal",
"of",
"input",
"and",
"calls",
"the",
"appropriate",
"resolver_method",
"when",
"to",
"perform",
"the",
"resolution",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L90-L132
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver._traverse_dict
|
def _traverse_dict(self, input_dict, resolution_data, resolver_method):
"""
Traverse a dictionary to resolve intrinsic functions on every value
:param input_dict: Input dictionary to traverse
:param resolution_data: Data that the `resolver_method` needs to operate
:param resolver_method: Method that can actually resolve an intrinsic function, if it detects one
:return: Modified dictionary with values resolved
"""
for key, value in input_dict.items():
input_dict[key] = self._traverse(value, resolution_data, resolver_method)
return input_dict
|
python
|
def _traverse_dict(self, input_dict, resolution_data, resolver_method):
"""
Traverse a dictionary to resolve intrinsic functions on every value
:param input_dict: Input dictionary to traverse
:param resolution_data: Data that the `resolver_method` needs to operate
:param resolver_method: Method that can actually resolve an intrinsic function, if it detects one
:return: Modified dictionary with values resolved
"""
for key, value in input_dict.items():
input_dict[key] = self._traverse(value, resolution_data, resolver_method)
return input_dict
|
[
"def",
"_traverse_dict",
"(",
"self",
",",
"input_dict",
",",
"resolution_data",
",",
"resolver_method",
")",
":",
"for",
"key",
",",
"value",
"in",
"input_dict",
".",
"items",
"(",
")",
":",
"input_dict",
"[",
"key",
"]",
"=",
"self",
".",
"_traverse",
"(",
"value",
",",
"resolution_data",
",",
"resolver_method",
")",
"return",
"input_dict"
] |
Traverse a dictionary to resolve intrinsic functions on every value
:param input_dict: Input dictionary to traverse
:param resolution_data: Data that the `resolver_method` needs to operate
:param resolver_method: Method that can actually resolve an intrinsic function, if it detects one
:return: Modified dictionary with values resolved
|
[
"Traverse",
"a",
"dictionary",
"to",
"resolve",
"intrinsic",
"functions",
"on",
"every",
"value"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L134-L146
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver._traverse_list
|
def _traverse_list(self, input_list, resolution_data, resolver_method):
"""
Traverse a list to resolve intrinsic functions on every element
:param input_list: List of input
:param resolution_data: Data that the `resolver_method` needs to operate
:param resolver_method: Method that can actually resolve an intrinsic function, if it detects one
:return: Modified list with intrinsic functions resolved
"""
for index, value in enumerate(input_list):
input_list[index] = self._traverse(value, resolution_data, resolver_method)
return input_list
|
python
|
def _traverse_list(self, input_list, resolution_data, resolver_method):
"""
Traverse a list to resolve intrinsic functions on every element
:param input_list: List of input
:param resolution_data: Data that the `resolver_method` needs to operate
:param resolver_method: Method that can actually resolve an intrinsic function, if it detects one
:return: Modified list with intrinsic functions resolved
"""
for index, value in enumerate(input_list):
input_list[index] = self._traverse(value, resolution_data, resolver_method)
return input_list
|
[
"def",
"_traverse_list",
"(",
"self",
",",
"input_list",
",",
"resolution_data",
",",
"resolver_method",
")",
":",
"for",
"index",
",",
"value",
"in",
"enumerate",
"(",
"input_list",
")",
":",
"input_list",
"[",
"index",
"]",
"=",
"self",
".",
"_traverse",
"(",
"value",
",",
"resolution_data",
",",
"resolver_method",
")",
"return",
"input_list"
] |
Traverse a list to resolve intrinsic functions on every element
:param input_list: List of input
:param resolution_data: Data that the `resolver_method` needs to operate
:param resolver_method: Method that can actually resolve an intrinsic function, if it detects one
:return: Modified list with intrinsic functions resolved
|
[
"Traverse",
"a",
"list",
"to",
"resolve",
"intrinsic",
"functions",
"on",
"every",
"element"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L148-L160
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver._try_resolve_parameter_refs
|
def _try_resolve_parameter_refs(self, input, parameters):
"""
Try to resolve parameter references on the given input object. The object could be of any type.
If the input is not in the format used by intrinsics (ie. dictionary with one key), input is returned
unmodified. If the single key in dictionary is one of the supported intrinsic function types,
go ahead and try to resolve it.
:param input: Input object to resolve
:param parameters: Parameter values used to for ref substitution
:return:
"""
if not self._is_intrinsic_dict(input):
return input
function_type = list(input.keys())[0]
return self.supported_intrinsics[function_type].resolve_parameter_refs(input, parameters)
|
python
|
def _try_resolve_parameter_refs(self, input, parameters):
"""
Try to resolve parameter references on the given input object. The object could be of any type.
If the input is not in the format used by intrinsics (ie. dictionary with one key), input is returned
unmodified. If the single key in dictionary is one of the supported intrinsic function types,
go ahead and try to resolve it.
:param input: Input object to resolve
:param parameters: Parameter values used to for ref substitution
:return:
"""
if not self._is_intrinsic_dict(input):
return input
function_type = list(input.keys())[0]
return self.supported_intrinsics[function_type].resolve_parameter_refs(input, parameters)
|
[
"def",
"_try_resolve_parameter_refs",
"(",
"self",
",",
"input",
",",
"parameters",
")",
":",
"if",
"not",
"self",
".",
"_is_intrinsic_dict",
"(",
"input",
")",
":",
"return",
"input",
"function_type",
"=",
"list",
"(",
"input",
".",
"keys",
"(",
")",
")",
"[",
"0",
"]",
"return",
"self",
".",
"supported_intrinsics",
"[",
"function_type",
"]",
".",
"resolve_parameter_refs",
"(",
"input",
",",
"parameters",
")"
] |
Try to resolve parameter references on the given input object. The object could be of any type.
If the input is not in the format used by intrinsics (ie. dictionary with one key), input is returned
unmodified. If the single key in dictionary is one of the supported intrinsic function types,
go ahead and try to resolve it.
:param input: Input object to resolve
:param parameters: Parameter values used to for ref substitution
:return:
|
[
"Try",
"to",
"resolve",
"parameter",
"references",
"on",
"the",
"given",
"input",
"object",
".",
"The",
"object",
"could",
"be",
"of",
"any",
"type",
".",
"If",
"the",
"input",
"is",
"not",
"in",
"the",
"format",
"used",
"by",
"intrinsics",
"(",
"ie",
".",
"dictionary",
"with",
"one",
"key",
")",
"input",
"is",
"returned",
"unmodified",
".",
"If",
"the",
"single",
"key",
"in",
"dictionary",
"is",
"one",
"of",
"the",
"supported",
"intrinsic",
"function",
"types",
"go",
"ahead",
"and",
"try",
"to",
"resolve",
"it",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L162-L177
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver._try_resolve_sam_resource_refs
|
def _try_resolve_sam_resource_refs(self, input, supported_resource_refs):
"""
Try to resolve SAM resource references on the given template. If the given object looks like one of the
supported intrinsics, it calls the appropriate resolution on it. If not, this method returns the original input
unmodified.
:param dict input: Dictionary that may represent an intrinsic function
:param SupportedResourceReferences supported_resource_refs: Object containing information about available
resource references and the values they resolve to.
:return: Modified input dictionary with references resolved
"""
if not self._is_intrinsic_dict(input):
return input
function_type = list(input.keys())[0]
return self.supported_intrinsics[function_type].resolve_resource_refs(input, supported_resource_refs)
|
python
|
def _try_resolve_sam_resource_refs(self, input, supported_resource_refs):
"""
Try to resolve SAM resource references on the given template. If the given object looks like one of the
supported intrinsics, it calls the appropriate resolution on it. If not, this method returns the original input
unmodified.
:param dict input: Dictionary that may represent an intrinsic function
:param SupportedResourceReferences supported_resource_refs: Object containing information about available
resource references and the values they resolve to.
:return: Modified input dictionary with references resolved
"""
if not self._is_intrinsic_dict(input):
return input
function_type = list(input.keys())[0]
return self.supported_intrinsics[function_type].resolve_resource_refs(input, supported_resource_refs)
|
[
"def",
"_try_resolve_sam_resource_refs",
"(",
"self",
",",
"input",
",",
"supported_resource_refs",
")",
":",
"if",
"not",
"self",
".",
"_is_intrinsic_dict",
"(",
"input",
")",
":",
"return",
"input",
"function_type",
"=",
"list",
"(",
"input",
".",
"keys",
"(",
")",
")",
"[",
"0",
"]",
"return",
"self",
".",
"supported_intrinsics",
"[",
"function_type",
"]",
".",
"resolve_resource_refs",
"(",
"input",
",",
"supported_resource_refs",
")"
] |
Try to resolve SAM resource references on the given template. If the given object looks like one of the
supported intrinsics, it calls the appropriate resolution on it. If not, this method returns the original input
unmodified.
:param dict input: Dictionary that may represent an intrinsic function
:param SupportedResourceReferences supported_resource_refs: Object containing information about available
resource references and the values they resolve to.
:return: Modified input dictionary with references resolved
|
[
"Try",
"to",
"resolve",
"SAM",
"resource",
"references",
"on",
"the",
"given",
"template",
".",
"If",
"the",
"given",
"object",
"looks",
"like",
"one",
"of",
"the",
"supported",
"intrinsics",
"it",
"calls",
"the",
"appropriate",
"resolution",
"on",
"it",
".",
"If",
"not",
"this",
"method",
"returns",
"the",
"original",
"input",
"unmodified",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L179-L194
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver._try_resolve_sam_resource_id_refs
|
def _try_resolve_sam_resource_id_refs(self, input, supported_resource_id_refs):
"""
Try to resolve SAM resource id references on the given template. If the given object looks like one of the
supported intrinsics, it calls the appropriate resolution on it. If not, this method returns the original input
unmodified.
:param dict input: Dictionary that may represent an intrinsic function
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Modified input dictionary with id references resolved
"""
if not self._is_intrinsic_dict(input):
return input
function_type = list(input.keys())[0]
return self.supported_intrinsics[function_type].resolve_resource_id_refs(input, supported_resource_id_refs)
|
python
|
def _try_resolve_sam_resource_id_refs(self, input, supported_resource_id_refs):
"""
Try to resolve SAM resource id references on the given template. If the given object looks like one of the
supported intrinsics, it calls the appropriate resolution on it. If not, this method returns the original input
unmodified.
:param dict input: Dictionary that may represent an intrinsic function
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Modified input dictionary with id references resolved
"""
if not self._is_intrinsic_dict(input):
return input
function_type = list(input.keys())[0]
return self.supported_intrinsics[function_type].resolve_resource_id_refs(input, supported_resource_id_refs)
|
[
"def",
"_try_resolve_sam_resource_id_refs",
"(",
"self",
",",
"input",
",",
"supported_resource_id_refs",
")",
":",
"if",
"not",
"self",
".",
"_is_intrinsic_dict",
"(",
"input",
")",
":",
"return",
"input",
"function_type",
"=",
"list",
"(",
"input",
".",
"keys",
"(",
")",
")",
"[",
"0",
"]",
"return",
"self",
".",
"supported_intrinsics",
"[",
"function_type",
"]",
".",
"resolve_resource_id_refs",
"(",
"input",
",",
"supported_resource_id_refs",
")"
] |
Try to resolve SAM resource id references on the given template. If the given object looks like one of the
supported intrinsics, it calls the appropriate resolution on it. If not, this method returns the original input
unmodified.
:param dict input: Dictionary that may represent an intrinsic function
:param dict supported_resource_id_refs: Dictionary that maps old logical ids to new ones.
:return: Modified input dictionary with id references resolved
|
[
"Try",
"to",
"resolve",
"SAM",
"resource",
"id",
"references",
"on",
"the",
"given",
"template",
".",
"If",
"the",
"given",
"object",
"looks",
"like",
"one",
"of",
"the",
"supported",
"intrinsics",
"it",
"calls",
"the",
"appropriate",
"resolution",
"on",
"it",
".",
"If",
"not",
"this",
"method",
"returns",
"the",
"original",
"input",
"unmodified",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L196-L210
|
train
|
awslabs/serverless-application-model
|
samtranslator/intrinsics/resolver.py
|
IntrinsicsResolver._is_intrinsic_dict
|
def _is_intrinsic_dict(self, input):
"""
Can the input represent an intrinsic function in it?
:param input: Object to be checked
:return: True, if the input contains a supported intrinsic function. False otherwise
"""
# All intrinsic functions are dictionaries with just one key
return isinstance(input, dict) \
and len(input) == 1 \
and list(input.keys())[0] in self.supported_intrinsics
|
python
|
def _is_intrinsic_dict(self, input):
"""
Can the input represent an intrinsic function in it?
:param input: Object to be checked
:return: True, if the input contains a supported intrinsic function. False otherwise
"""
# All intrinsic functions are dictionaries with just one key
return isinstance(input, dict) \
and len(input) == 1 \
and list(input.keys())[0] in self.supported_intrinsics
|
[
"def",
"_is_intrinsic_dict",
"(",
"self",
",",
"input",
")",
":",
"# All intrinsic functions are dictionaries with just one key",
"return",
"isinstance",
"(",
"input",
",",
"dict",
")",
"and",
"len",
"(",
"input",
")",
"==",
"1",
"and",
"list",
"(",
"input",
".",
"keys",
"(",
")",
")",
"[",
"0",
"]",
"in",
"self",
".",
"supported_intrinsics"
] |
Can the input represent an intrinsic function in it?
:param input: Object to be checked
:return: True, if the input contains a supported intrinsic function. False otherwise
|
[
"Can",
"the",
"input",
"represent",
"an",
"intrinsic",
"function",
"in",
"it?"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/intrinsics/resolver.py#L212-L222
|
train
|
awslabs/serverless-application-model
|
samtranslator/model/eventsources/cloudwatchlogs.py
|
CloudWatchLogs.to_cloudformation
|
def to_cloudformation(self, **kwargs):
"""Returns the CloudWatch Logs Subscription Filter and Lambda Permission to which this CloudWatch Logs event source
corresponds.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this push event expands
:rtype: list
"""
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
source_arn = self.get_source_arn()
permission = self._construct_permission(function, source_arn=source_arn)
subscription_filter = self.get_subscription_filter(function, permission)
resources = [permission, subscription_filter]
return resources
|
python
|
def to_cloudformation(self, **kwargs):
"""Returns the CloudWatch Logs Subscription Filter and Lambda Permission to which this CloudWatch Logs event source
corresponds.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this push event expands
:rtype: list
"""
function = kwargs.get('function')
if not function:
raise TypeError("Missing required keyword argument: function")
source_arn = self.get_source_arn()
permission = self._construct_permission(function, source_arn=source_arn)
subscription_filter = self.get_subscription_filter(function, permission)
resources = [permission, subscription_filter]
return resources
|
[
"def",
"to_cloudformation",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"function",
"=",
"kwargs",
".",
"get",
"(",
"'function'",
")",
"if",
"not",
"function",
":",
"raise",
"TypeError",
"(",
"\"Missing required keyword argument: function\"",
")",
"source_arn",
"=",
"self",
".",
"get_source_arn",
"(",
")",
"permission",
"=",
"self",
".",
"_construct_permission",
"(",
"function",
",",
"source_arn",
"=",
"source_arn",
")",
"subscription_filter",
"=",
"self",
".",
"get_subscription_filter",
"(",
"function",
",",
"permission",
")",
"resources",
"=",
"[",
"permission",
",",
"subscription_filter",
"]",
"return",
"resources"
] |
Returns the CloudWatch Logs Subscription Filter and Lambda Permission to which this CloudWatch Logs event source
corresponds.
:param dict kwargs: no existing resources need to be modified
:returns: a list of vanilla CloudFormation Resources, to which this push event expands
:rtype: list
|
[
"Returns",
"the",
"CloudWatch",
"Logs",
"Subscription",
"Filter",
"and",
"Lambda",
"Permission",
"to",
"which",
"this",
"CloudWatch",
"Logs",
"event",
"source",
"corresponds",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/model/eventsources/cloudwatchlogs.py#L18-L36
|
train
|
awslabs/serverless-application-model
|
samtranslator/policy_template_processor/processor.py
|
PolicyTemplatesProcessor.convert
|
def convert(self, template_name, parameter_values):
"""
Converts the given template to IAM-ready policy statement by substituting template parameters with the given
values.
:param template_name: Name of the template
:param parameter_values: Values for all parameters of the template
:return dict: Dictionary containing policy statement
:raises ValueError: If the given inputs don't represent valid template
:raises InsufficientParameterValues: If the parameter values don't have values for all required parameters
"""
if not self.has(template_name):
raise TemplateNotFoundException(template_name)
template = self.get(template_name)
return template.to_statement(parameter_values)
|
python
|
def convert(self, template_name, parameter_values):
"""
Converts the given template to IAM-ready policy statement by substituting template parameters with the given
values.
:param template_name: Name of the template
:param parameter_values: Values for all parameters of the template
:return dict: Dictionary containing policy statement
:raises ValueError: If the given inputs don't represent valid template
:raises InsufficientParameterValues: If the parameter values don't have values for all required parameters
"""
if not self.has(template_name):
raise TemplateNotFoundException(template_name)
template = self.get(template_name)
return template.to_statement(parameter_values)
|
[
"def",
"convert",
"(",
"self",
",",
"template_name",
",",
"parameter_values",
")",
":",
"if",
"not",
"self",
".",
"has",
"(",
"template_name",
")",
":",
"raise",
"TemplateNotFoundException",
"(",
"template_name",
")",
"template",
"=",
"self",
".",
"get",
"(",
"template_name",
")",
"return",
"template",
".",
"to_statement",
"(",
"parameter_values",
")"
] |
Converts the given template to IAM-ready policy statement by substituting template parameters with the given
values.
:param template_name: Name of the template
:param parameter_values: Values for all parameters of the template
:return dict: Dictionary containing policy statement
:raises ValueError: If the given inputs don't represent valid template
:raises InsufficientParameterValues: If the parameter values don't have values for all required parameters
|
[
"Converts",
"the",
"given",
"template",
"to",
"IAM",
"-",
"ready",
"policy",
"statement",
"by",
"substituting",
"template",
"parameters",
"with",
"the",
"given",
"values",
"."
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/policy_template_processor/processor.py#L84-L100
|
train
|
awslabs/serverless-application-model
|
samtranslator/policy_template_processor/processor.py
|
PolicyTemplatesProcessor._is_valid_templates_dict
|
def _is_valid_templates_dict(policy_templates_dict, schema=None):
"""
Is this a valid policy template dictionary
:param dict policy_templates_dict: Data to be validated
:param dict schema: Optional, dictionary containing JSON Schema representing policy template
:return: True, if it is valid.
:raises ValueError: If the template dictionary doesn't match up with the schema
"""
if not schema:
schema = PolicyTemplatesProcessor._read_schema()
try:
jsonschema.validate(policy_templates_dict, schema)
except ValidationError as ex:
# Stringifying the exception will give us useful error message
raise ValueError(str(ex))
return True
|
python
|
def _is_valid_templates_dict(policy_templates_dict, schema=None):
"""
Is this a valid policy template dictionary
:param dict policy_templates_dict: Data to be validated
:param dict schema: Optional, dictionary containing JSON Schema representing policy template
:return: True, if it is valid.
:raises ValueError: If the template dictionary doesn't match up with the schema
"""
if not schema:
schema = PolicyTemplatesProcessor._read_schema()
try:
jsonschema.validate(policy_templates_dict, schema)
except ValidationError as ex:
# Stringifying the exception will give us useful error message
raise ValueError(str(ex))
return True
|
[
"def",
"_is_valid_templates_dict",
"(",
"policy_templates_dict",
",",
"schema",
"=",
"None",
")",
":",
"if",
"not",
"schema",
":",
"schema",
"=",
"PolicyTemplatesProcessor",
".",
"_read_schema",
"(",
")",
"try",
":",
"jsonschema",
".",
"validate",
"(",
"policy_templates_dict",
",",
"schema",
")",
"except",
"ValidationError",
"as",
"ex",
":",
"# Stringifying the exception will give us useful error message",
"raise",
"ValueError",
"(",
"str",
"(",
"ex",
")",
")",
"return",
"True"
] |
Is this a valid policy template dictionary
:param dict policy_templates_dict: Data to be validated
:param dict schema: Optional, dictionary containing JSON Schema representing policy template
:return: True, if it is valid.
:raises ValueError: If the template dictionary doesn't match up with the schema
|
[
"Is",
"this",
"a",
"valid",
"policy",
"template",
"dictionary"
] |
cccb0c96b5c91e53355ebc07e542467303a5eedd
|
https://github.com/awslabs/serverless-application-model/blob/cccb0c96b5c91e53355ebc07e542467303a5eedd/samtranslator/policy_template_processor/processor.py#L103-L122
|
train
|
pyecharts/pyecharts
|
pyecharts/render/engine.py
|
RenderEngine.render_chart_to_file
|
def render_chart_to_file(self, template_name: str, chart: Any, path: str):
"""
Render a chart or page to local html files.
:param chart: A Chart or Page object
:param path: The destination file which the html code write to
:param template_name: The name of template file.
"""
tpl = self.env.get_template(template_name)
html = tpl.render(chart=self.generate_js_link(chart))
write_utf8_html_file(path, self._reg_replace(html))
|
python
|
def render_chart_to_file(self, template_name: str, chart: Any, path: str):
"""
Render a chart or page to local html files.
:param chart: A Chart or Page object
:param path: The destination file which the html code write to
:param template_name: The name of template file.
"""
tpl = self.env.get_template(template_name)
html = tpl.render(chart=self.generate_js_link(chart))
write_utf8_html_file(path, self._reg_replace(html))
|
[
"def",
"render_chart_to_file",
"(",
"self",
",",
"template_name",
":",
"str",
",",
"chart",
":",
"Any",
",",
"path",
":",
"str",
")",
":",
"tpl",
"=",
"self",
".",
"env",
".",
"get_template",
"(",
"template_name",
")",
"html",
"=",
"tpl",
".",
"render",
"(",
"chart",
"=",
"self",
".",
"generate_js_link",
"(",
"chart",
")",
")",
"write_utf8_html_file",
"(",
"path",
",",
"self",
".",
"_reg_replace",
"(",
"html",
")",
")"
] |
Render a chart or page to local html files.
:param chart: A Chart or Page object
:param path: The destination file which the html code write to
:param template_name: The name of template file.
|
[
"Render",
"a",
"chart",
"or",
"page",
"to",
"local",
"html",
"files",
"."
] |
02050acb0e94bb9453b88a25028de7a0ce23f125
|
https://github.com/pyecharts/pyecharts/blob/02050acb0e94bb9453b88a25028de7a0ce23f125/pyecharts/render/engine.py#L36-L46
|
train
|
pyecharts/pyecharts
|
pyecharts/render/snapshot.py
|
decode_base64
|
def decode_base64(data: str) -> bytes:
"""Decode base64, padding being optional.
:param data: Base64 data as an ASCII byte string
:returns: The decoded byte string.
"""
missing_padding = len(data) % 4
if missing_padding != 0:
data += "=" * (4 - missing_padding)
return base64.decodebytes(data.encode("utf-8"))
|
python
|
def decode_base64(data: str) -> bytes:
"""Decode base64, padding being optional.
:param data: Base64 data as an ASCII byte string
:returns: The decoded byte string.
"""
missing_padding = len(data) % 4
if missing_padding != 0:
data += "=" * (4 - missing_padding)
return base64.decodebytes(data.encode("utf-8"))
|
[
"def",
"decode_base64",
"(",
"data",
":",
"str",
")",
"->",
"bytes",
":",
"missing_padding",
"=",
"len",
"(",
"data",
")",
"%",
"4",
"if",
"missing_padding",
"!=",
"0",
":",
"data",
"+=",
"\"=\"",
"*",
"(",
"4",
"-",
"missing_padding",
")",
"return",
"base64",
".",
"decodebytes",
"(",
"data",
".",
"encode",
"(",
"\"utf-8\"",
")",
")"
] |
Decode base64, padding being optional.
:param data: Base64 data as an ASCII byte string
:returns: The decoded byte string.
|
[
"Decode",
"base64",
"padding",
"being",
"optional",
"."
] |
02050acb0e94bb9453b88a25028de7a0ce23f125
|
https://github.com/pyecharts/pyecharts/blob/02050acb0e94bb9453b88a25028de7a0ce23f125/pyecharts/render/snapshot.py#L58-L67
|
train
|
pyecharts/pyecharts
|
pyecharts/charts/basic_charts/tree.py
|
Tree._set_collapse_interval
|
def _set_collapse_interval(data, interval):
"""
间隔折叠节点，当节点过多时可以解决节点显示过杂间隔。
:param data: 节点数据
:param interval: 指定间隔
"""
if interval <= 0:
return data
if data and isinstance(data, list):
for d in data:
children = d.get("children", None)
if children and interval > 0:
for index, value in enumerate(children):
if index % interval == 0:
value.update(collapsed="false")
return data
|
python
|
def _set_collapse_interval(data, interval):
"""
间隔折叠节点，当节点过多时可以解决节点显示过杂间隔。
:param data: 节点数据
:param interval: 指定间隔
"""
if interval <= 0:
return data
if data and isinstance(data, list):
for d in data:
children = d.get("children", None)
if children and interval > 0:
for index, value in enumerate(children):
if index % interval == 0:
value.update(collapsed="false")
return data
|
[
"def",
"_set_collapse_interval",
"(",
"data",
",",
"interval",
")",
":",
"if",
"interval",
"<=",
"0",
":",
"return",
"data",
"if",
"data",
"and",
"isinstance",
"(",
"data",
",",
"list",
")",
":",
"for",
"d",
"in",
"data",
":",
"children",
"=",
"d",
".",
"get",
"(",
"\"children\"",
",",
"None",
")",
"if",
"children",
"and",
"interval",
">",
"0",
":",
"for",
"index",
",",
"value",
"in",
"enumerate",
"(",
"children",
")",
":",
"if",
"index",
"%",
"interval",
"==",
"0",
":",
"value",
".",
"update",
"(",
"collapsed",
"=",
"\"false\"",
")",
"return",
"data"
] |
间隔折叠节点，当节点过多时可以解决节点显示过杂间隔。
:param data: 节点数据
:param interval: 指定间隔
|
[
"间隔折叠节点，当节点过多时可以解决节点显示过杂间隔。",
":",
"param",
"data",
":",
"节点数据",
":",
"param",
"interval",
":",
"指定间隔"
] |
02050acb0e94bb9453b88a25028de7a0ce23f125
|
https://github.com/pyecharts/pyecharts/blob/02050acb0e94bb9453b88a25028de7a0ce23f125/pyecharts/charts/basic_charts/tree.py#L19-L35
|
train
|
micropython/micropython
|
ports/nrf/boards/make-pins.py
|
parse_pin
|
def parse_pin(name_str):
"""Parses a string and returns a pin-num."""
if len(name_str) < 1:
raise ValueError("Expecting pin name to be at least 4 charcters.")
if name_str[0] != 'P':
raise ValueError("Expecting pin name to start with P")
pin_str = name_str[1:].split('/')[0]
if not pin_str.isdigit():
raise ValueError("Expecting numeric pin number.")
return int(pin_str)
|
python
|
def parse_pin(name_str):
"""Parses a string and returns a pin-num."""
if len(name_str) < 1:
raise ValueError("Expecting pin name to be at least 4 charcters.")
if name_str[0] != 'P':
raise ValueError("Expecting pin name to start with P")
pin_str = name_str[1:].split('/')[0]
if not pin_str.isdigit():
raise ValueError("Expecting numeric pin number.")
return int(pin_str)
|
[
"def",
"parse_pin",
"(",
"name_str",
")",
":",
"if",
"len",
"(",
"name_str",
")",
"<",
"1",
":",
"raise",
"ValueError",
"(",
"\"Expecting pin name to be at least 4 charcters.\"",
")",
"if",
"name_str",
"[",
"0",
"]",
"!=",
"'P'",
":",
"raise",
"ValueError",
"(",
"\"Expecting pin name to start with P\"",
")",
"pin_str",
"=",
"name_str",
"[",
"1",
":",
"]",
".",
"split",
"(",
"'/'",
")",
"[",
"0",
"]",
"if",
"not",
"pin_str",
".",
"isdigit",
"(",
")",
":",
"raise",
"ValueError",
"(",
"\"Expecting numeric pin number.\"",
")",
"return",
"int",
"(",
"pin_str",
")"
] |
Parses a string and returns a pin-num.
|
[
"Parses",
"a",
"string",
"and",
"returns",
"a",
"pin",
"-",
"num",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/ports/nrf/boards/make-pins.py#L14-L23
|
train
|
micropython/micropython
|
ports/nrf/boards/make-pins.py
|
AlternateFunction.ptr
|
def ptr(self):
"""Returns the numbered function (i.e. USART6) for this AF."""
if self.fn_num is None:
return self.func
return '{:s}{:d}'.format(self.func, self.fn_num)
|
python
|
def ptr(self):
"""Returns the numbered function (i.e. USART6) for this AF."""
if self.fn_num is None:
return self.func
return '{:s}{:d}'.format(self.func, self.fn_num)
|
[
"def",
"ptr",
"(",
"self",
")",
":",
"if",
"self",
".",
"fn_num",
"is",
"None",
":",
"return",
"self",
".",
"func",
"return",
"'{:s}{:d}'",
".",
"format",
"(",
"self",
".",
"func",
",",
"self",
".",
"fn_num",
")"
] |
Returns the numbered function (i.e. USART6) for this AF.
|
[
"Returns",
"the",
"numbered",
"function",
"(",
"i",
".",
"e",
".",
"USART6",
")",
"for",
"this",
"AF",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/ports/nrf/boards/make-pins.py#L61-L65
|
train
|
micropython/micropython
|
ports/nrf/boards/make-pins.py
|
AlternateFunction.print
|
def print(self):
"""Prints the C representation of this AF."""
if self.supported:
print(' AF', end='')
else:
print(' //', end='')
fn_num = self.fn_num
if fn_num is None:
fn_num = 0
print('({:2d}, {:8s}, {:2d}, {:10s}, {:8s}), // {:s}'.format(self.idx,
self.func, fn_num, self.pin_type, self.ptr(), self.af_str))
|
python
|
def print(self):
"""Prints the C representation of this AF."""
if self.supported:
print(' AF', end='')
else:
print(' //', end='')
fn_num = self.fn_num
if fn_num is None:
fn_num = 0
print('({:2d}, {:8s}, {:2d}, {:10s}, {:8s}), // {:s}'.format(self.idx,
self.func, fn_num, self.pin_type, self.ptr(), self.af_str))
|
[
"def",
"print",
"(",
"self",
")",
":",
"if",
"self",
".",
"supported",
":",
"print",
"(",
"' AF'",
",",
"end",
"=",
"''",
")",
"else",
":",
"print",
"(",
"' //'",
",",
"end",
"=",
"''",
")",
"fn_num",
"=",
"self",
".",
"fn_num",
"if",
"fn_num",
"is",
"None",
":",
"fn_num",
"=",
"0",
"print",
"(",
"'({:2d}, {:8s}, {:2d}, {:10s}, {:8s}), // {:s}'",
".",
"format",
"(",
"self",
".",
"idx",
",",
"self",
".",
"func",
",",
"fn_num",
",",
"self",
".",
"pin_type",
",",
"self",
".",
"ptr",
"(",
")",
",",
"self",
".",
"af_str",
")",
")"
] |
Prints the C representation of this AF.
|
[
"Prints",
"the",
"C",
"representation",
"of",
"this",
"AF",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/ports/nrf/boards/make-pins.py#L70-L80
|
train
|
micropython/micropython
|
examples/switch.py
|
run_loop
|
def run_loop(leds=all_leds):
"""
Start the loop.
:param `leds`: Which LEDs to light up upon switch press.
:type `leds`: sequence of LED objects
"""
print('Loop started.\nPress Ctrl+C to break out of the loop.')
while 1:
try:
if switch():
[led.on() for led in leds]
else:
[led.off() for led in leds]
except OSError: # VCPInterrupt # Ctrl+C in interpreter mode.
break
|
python
|
def run_loop(leds=all_leds):
"""
Start the loop.
:param `leds`: Which LEDs to light up upon switch press.
:type `leds`: sequence of LED objects
"""
print('Loop started.\nPress Ctrl+C to break out of the loop.')
while 1:
try:
if switch():
[led.on() for led in leds]
else:
[led.off() for led in leds]
except OSError: # VCPInterrupt # Ctrl+C in interpreter mode.
break
|
[
"def",
"run_loop",
"(",
"leds",
"=",
"all_leds",
")",
":",
"print",
"(",
"'Loop started.\\nPress Ctrl+C to break out of the loop.'",
")",
"while",
"1",
":",
"try",
":",
"if",
"switch",
"(",
")",
":",
"[",
"led",
".",
"on",
"(",
")",
"for",
"led",
"in",
"leds",
"]",
"else",
":",
"[",
"led",
".",
"off",
"(",
")",
"for",
"led",
"in",
"leds",
"]",
"except",
"OSError",
":",
"# VCPInterrupt # Ctrl+C in interpreter mode.",
"break"
] |
Start the loop.
:param `leds`: Which LEDs to light up upon switch press.
:type `leds`: sequence of LED objects
|
[
"Start",
"the",
"loop",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/examples/switch.py#L27-L42
|
train
|
micropython/micropython
|
py/makemoduledefs.py
|
find_c_file
|
def find_c_file(obj_file, vpath):
""" Search vpaths for the c file that matches the provided object_file.
:param str obj_file: object file to find the matching c file for
:param List[str] vpath: List of base paths, similar to gcc vpath
:return: str path to c file or None
"""
c_file = None
relative_c_file = os.path.splitext(obj_file)[0] + ".c"
relative_c_file = relative_c_file.lstrip('/\\')
for p in vpath:
possible_c_file = os.path.join(p, relative_c_file)
if os.path.exists(possible_c_file):
c_file = possible_c_file
break
return c_file
|
python
|
def find_c_file(obj_file, vpath):
""" Search vpaths for the c file that matches the provided object_file.
:param str obj_file: object file to find the matching c file for
:param List[str] vpath: List of base paths, similar to gcc vpath
:return: str path to c file or None
"""
c_file = None
relative_c_file = os.path.splitext(obj_file)[0] + ".c"
relative_c_file = relative_c_file.lstrip('/\\')
for p in vpath:
possible_c_file = os.path.join(p, relative_c_file)
if os.path.exists(possible_c_file):
c_file = possible_c_file
break
return c_file
|
[
"def",
"find_c_file",
"(",
"obj_file",
",",
"vpath",
")",
":",
"c_file",
"=",
"None",
"relative_c_file",
"=",
"os",
".",
"path",
".",
"splitext",
"(",
"obj_file",
")",
"[",
"0",
"]",
"+",
"\".c\"",
"relative_c_file",
"=",
"relative_c_file",
".",
"lstrip",
"(",
"'/\\\\'",
")",
"for",
"p",
"in",
"vpath",
":",
"possible_c_file",
"=",
"os",
".",
"path",
".",
"join",
"(",
"p",
",",
"relative_c_file",
")",
"if",
"os",
".",
"path",
".",
"exists",
"(",
"possible_c_file",
")",
":",
"c_file",
"=",
"possible_c_file",
"break",
"return",
"c_file"
] |
Search vpaths for the c file that matches the provided object_file.
:param str obj_file: object file to find the matching c file for
:param List[str] vpath: List of base paths, similar to gcc vpath
:return: str path to c file or None
|
[
"Search",
"vpaths",
"for",
"the",
"c",
"file",
"that",
"matches",
"the",
"provided",
"object_file",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/py/makemoduledefs.py#L22-L38
|
train
|
micropython/micropython
|
py/makemoduledefs.py
|
find_module_registrations
|
def find_module_registrations(c_file):
""" Find any MP_REGISTER_MODULE definitions in the provided c file.
:param str c_file: path to c file to check
:return: List[(module_name, obj_module, enabled_define)]
"""
global pattern
if c_file is None:
# No c file to match the object file, skip
return set()
with io.open(c_file, encoding='utf-8') as c_file_obj:
return set(re.findall(pattern, c_file_obj.read()))
|
python
|
def find_module_registrations(c_file):
""" Find any MP_REGISTER_MODULE definitions in the provided c file.
:param str c_file: path to c file to check
:return: List[(module_name, obj_module, enabled_define)]
"""
global pattern
if c_file is None:
# No c file to match the object file, skip
return set()
with io.open(c_file, encoding='utf-8') as c_file_obj:
return set(re.findall(pattern, c_file_obj.read()))
|
[
"def",
"find_module_registrations",
"(",
"c_file",
")",
":",
"global",
"pattern",
"if",
"c_file",
"is",
"None",
":",
"# No c file to match the object file, skip",
"return",
"set",
"(",
")",
"with",
"io",
".",
"open",
"(",
"c_file",
",",
"encoding",
"=",
"'utf-8'",
")",
"as",
"c_file_obj",
":",
"return",
"set",
"(",
"re",
".",
"findall",
"(",
"pattern",
",",
"c_file_obj",
".",
"read",
"(",
")",
")",
")"
] |
Find any MP_REGISTER_MODULE definitions in the provided c file.
:param str c_file: path to c file to check
:return: List[(module_name, obj_module, enabled_define)]
|
[
"Find",
"any",
"MP_REGISTER_MODULE",
"definitions",
"in",
"the",
"provided",
"c",
"file",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/py/makemoduledefs.py#L41-L54
|
train
|
micropython/micropython
|
py/makemoduledefs.py
|
generate_module_table_header
|
def generate_module_table_header(modules):
""" Generate header with module table entries for builtin modules.
:param List[(module_name, obj_module, enabled_define)] modules: module defs
:return: None
"""
# Print header file for all external modules.
mod_defs = []
print("// Automatically generated by makemoduledefs.py.\n")
for module_name, obj_module, enabled_define in modules:
mod_def = "MODULE_DEF_{}".format(module_name.upper())
mod_defs.append(mod_def)
print((
"#if ({enabled_define})\n"
" extern const struct _mp_obj_module_t {obj_module};\n"
" #define {mod_def} {{ MP_ROM_QSTR({module_name}), MP_ROM_PTR(&{obj_module}) }},\n"
"#else\n"
" #define {mod_def}\n"
"#endif\n"
).format(module_name=module_name, obj_module=obj_module,
enabled_define=enabled_define, mod_def=mod_def)
)
print("\n#define MICROPY_REGISTERED_MODULES \\")
for mod_def in mod_defs:
print(" {mod_def} \\".format(mod_def=mod_def))
print("// MICROPY_REGISTERED_MODULES")
|
python
|
def generate_module_table_header(modules):
""" Generate header with module table entries for builtin modules.
:param List[(module_name, obj_module, enabled_define)] modules: module defs
:return: None
"""
# Print header file for all external modules.
mod_defs = []
print("// Automatically generated by makemoduledefs.py.\n")
for module_name, obj_module, enabled_define in modules:
mod_def = "MODULE_DEF_{}".format(module_name.upper())
mod_defs.append(mod_def)
print((
"#if ({enabled_define})\n"
" extern const struct _mp_obj_module_t {obj_module};\n"
" #define {mod_def} {{ MP_ROM_QSTR({module_name}), MP_ROM_PTR(&{obj_module}) }},\n"
"#else\n"
" #define {mod_def}\n"
"#endif\n"
).format(module_name=module_name, obj_module=obj_module,
enabled_define=enabled_define, mod_def=mod_def)
)
print("\n#define MICROPY_REGISTERED_MODULES \\")
for mod_def in mod_defs:
print(" {mod_def} \\".format(mod_def=mod_def))
print("// MICROPY_REGISTERED_MODULES")
|
[
"def",
"generate_module_table_header",
"(",
"modules",
")",
":",
"# Print header file for all external modules.",
"mod_defs",
"=",
"[",
"]",
"print",
"(",
"\"// Automatically generated by makemoduledefs.py.\\n\"",
")",
"for",
"module_name",
",",
"obj_module",
",",
"enabled_define",
"in",
"modules",
":",
"mod_def",
"=",
"\"MODULE_DEF_{}\"",
".",
"format",
"(",
"module_name",
".",
"upper",
"(",
")",
")",
"mod_defs",
".",
"append",
"(",
"mod_def",
")",
"print",
"(",
"(",
"\"#if ({enabled_define})\\n\"",
"\" extern const struct _mp_obj_module_t {obj_module};\\n\"",
"\" #define {mod_def} {{ MP_ROM_QSTR({module_name}), MP_ROM_PTR(&{obj_module}) }},\\n\"",
"\"#else\\n\"",
"\" #define {mod_def}\\n\"",
"\"#endif\\n\"",
")",
".",
"format",
"(",
"module_name",
"=",
"module_name",
",",
"obj_module",
"=",
"obj_module",
",",
"enabled_define",
"=",
"enabled_define",
",",
"mod_def",
"=",
"mod_def",
")",
")",
"print",
"(",
"\"\\n#define MICROPY_REGISTERED_MODULES \\\\\"",
")",
"for",
"mod_def",
"in",
"mod_defs",
":",
"print",
"(",
"\" {mod_def} \\\\\"",
".",
"format",
"(",
"mod_def",
"=",
"mod_def",
")",
")",
"print",
"(",
"\"// MICROPY_REGISTERED_MODULES\"",
")"
] |
Generate header with module table entries for builtin modules.
:param List[(module_name, obj_module, enabled_define)] modules: module defs
:return: None
|
[
"Generate",
"header",
"with",
"module",
"table",
"entries",
"for",
"builtin",
"modules",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/py/makemoduledefs.py#L57-L86
|
train
|
micropython/micropython
|
tools/gen-cpydiff.py
|
readfiles
|
def readfiles():
""" Reads test files """
tests = list(filter(lambda x: x.endswith('.py'), os.listdir(TESTPATH)))
tests.sort()
files = []
for test in tests:
text = open(TESTPATH + test, 'r').read()
try:
class_, desc, cause, workaround, code = [x.rstrip() for x in \
list(filter(None, re.split(SPLIT, text)))]
output = Output(test, class_, desc, cause, workaround, code, '', '', '')
files.append(output)
except IndexError:
print('Incorrect format in file ' + TESTPATH + test)
return files
|
python
|
def readfiles():
""" Reads test files """
tests = list(filter(lambda x: x.endswith('.py'), os.listdir(TESTPATH)))
tests.sort()
files = []
for test in tests:
text = open(TESTPATH + test, 'r').read()
try:
class_, desc, cause, workaround, code = [x.rstrip() for x in \
list(filter(None, re.split(SPLIT, text)))]
output = Output(test, class_, desc, cause, workaround, code, '', '', '')
files.append(output)
except IndexError:
print('Incorrect format in file ' + TESTPATH + test)
return files
|
[
"def",
"readfiles",
"(",
")",
":",
"tests",
"=",
"list",
"(",
"filter",
"(",
"lambda",
"x",
":",
"x",
".",
"endswith",
"(",
"'.py'",
")",
",",
"os",
".",
"listdir",
"(",
"TESTPATH",
")",
")",
")",
"tests",
".",
"sort",
"(",
")",
"files",
"=",
"[",
"]",
"for",
"test",
"in",
"tests",
":",
"text",
"=",
"open",
"(",
"TESTPATH",
"+",
"test",
",",
"'r'",
")",
".",
"read",
"(",
")",
"try",
":",
"class_",
",",
"desc",
",",
"cause",
",",
"workaround",
",",
"code",
"=",
"[",
"x",
".",
"rstrip",
"(",
")",
"for",
"x",
"in",
"list",
"(",
"filter",
"(",
"None",
",",
"re",
".",
"split",
"(",
"SPLIT",
",",
"text",
")",
")",
")",
"]",
"output",
"=",
"Output",
"(",
"test",
",",
"class_",
",",
"desc",
",",
"cause",
",",
"workaround",
",",
"code",
",",
"''",
",",
"''",
",",
"''",
")",
"files",
".",
"append",
"(",
"output",
")",
"except",
"IndexError",
":",
"print",
"(",
"'Incorrect format in file '",
"+",
"TESTPATH",
"+",
"test",
")",
"return",
"files"
] |
Reads test files
|
[
"Reads",
"test",
"files"
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/gen-cpydiff.py#L63-L80
|
train
|
micropython/micropython
|
tools/gen-cpydiff.py
|
uimports
|
def uimports(code):
""" converts CPython module names into MicroPython equivalents """
for uimport in UIMPORTLIST:
uimport = bytes(uimport, 'utf8')
code = code.replace(uimport, b'u' + uimport)
return code
|
python
|
def uimports(code):
""" converts CPython module names into MicroPython equivalents """
for uimport in UIMPORTLIST:
uimport = bytes(uimport, 'utf8')
code = code.replace(uimport, b'u' + uimport)
return code
|
[
"def",
"uimports",
"(",
"code",
")",
":",
"for",
"uimport",
"in",
"UIMPORTLIST",
":",
"uimport",
"=",
"bytes",
"(",
"uimport",
",",
"'utf8'",
")",
"code",
"=",
"code",
".",
"replace",
"(",
"uimport",
",",
"b'u'",
"+",
"uimport",
")",
"return",
"code"
] |
converts CPython module names into MicroPython equivalents
|
[
"converts",
"CPython",
"module",
"names",
"into",
"MicroPython",
"equivalents"
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/gen-cpydiff.py#L82-L87
|
train
|
micropython/micropython
|
tools/gen-cpydiff.py
|
indent
|
def indent(block, spaces):
""" indents paragraphs of text for rst formatting """
new_block = ''
for line in block.split('\n'):
new_block += spaces + line + '\n'
return new_block
|
python
|
def indent(block, spaces):
""" indents paragraphs of text for rst formatting """
new_block = ''
for line in block.split('\n'):
new_block += spaces + line + '\n'
return new_block
|
[
"def",
"indent",
"(",
"block",
",",
"spaces",
")",
":",
"new_block",
"=",
"''",
"for",
"line",
"in",
"block",
".",
"split",
"(",
"'\\n'",
")",
":",
"new_block",
"+=",
"spaces",
"+",
"line",
"+",
"'\\n'",
"return",
"new_block"
] |
indents paragraphs of text for rst formatting
|
[
"indents",
"paragraphs",
"of",
"text",
"for",
"rst",
"formatting"
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/gen-cpydiff.py#L116-L121
|
train
|
micropython/micropython
|
tools/gen-cpydiff.py
|
gen_table
|
def gen_table(contents):
""" creates a table given any set of columns """
xlengths = []
ylengths = []
for column in contents:
col_len = 0
for entry in column:
lines = entry.split('\n')
for line in lines:
col_len = max(len(line) + 2, col_len)
xlengths.append(col_len)
for i in range(len(contents[0])):
ymax = 0
for j in range(len(contents)):
ymax = max(ymax, len(contents[j][i].split('\n')))
ylengths.append(ymax)
table_divider = '+' + ''.join(['-' * i + '+' for i in xlengths]) + '\n'
table = table_divider
for i in range(len(ylengths)):
row = [column[i] for column in contents]
row = [entry + '\n' * (ylengths[i]-len(entry.split('\n'))) for entry in row]
row = [entry.split('\n') for entry in row]
for j in range(ylengths[i]):
k = 0
for entry in row:
width = xlengths[k]
table += ''.join(['| {:{}}'.format(entry[j], width - 1)])
k += 1
table += '|\n'
table += table_divider
return table + '\n'
|
python
|
def gen_table(contents):
""" creates a table given any set of columns """
xlengths = []
ylengths = []
for column in contents:
col_len = 0
for entry in column:
lines = entry.split('\n')
for line in lines:
col_len = max(len(line) + 2, col_len)
xlengths.append(col_len)
for i in range(len(contents[0])):
ymax = 0
for j in range(len(contents)):
ymax = max(ymax, len(contents[j][i].split('\n')))
ylengths.append(ymax)
table_divider = '+' + ''.join(['-' * i + '+' for i in xlengths]) + '\n'
table = table_divider
for i in range(len(ylengths)):
row = [column[i] for column in contents]
row = [entry + '\n' * (ylengths[i]-len(entry.split('\n'))) for entry in row]
row = [entry.split('\n') for entry in row]
for j in range(ylengths[i]):
k = 0
for entry in row:
width = xlengths[k]
table += ''.join(['| {:{}}'.format(entry[j], width - 1)])
k += 1
table += '|\n'
table += table_divider
return table + '\n'
|
[
"def",
"gen_table",
"(",
"contents",
")",
":",
"xlengths",
"=",
"[",
"]",
"ylengths",
"=",
"[",
"]",
"for",
"column",
"in",
"contents",
":",
"col_len",
"=",
"0",
"for",
"entry",
"in",
"column",
":",
"lines",
"=",
"entry",
".",
"split",
"(",
"'\\n'",
")",
"for",
"line",
"in",
"lines",
":",
"col_len",
"=",
"max",
"(",
"len",
"(",
"line",
")",
"+",
"2",
",",
"col_len",
")",
"xlengths",
".",
"append",
"(",
"col_len",
")",
"for",
"i",
"in",
"range",
"(",
"len",
"(",
"contents",
"[",
"0",
"]",
")",
")",
":",
"ymax",
"=",
"0",
"for",
"j",
"in",
"range",
"(",
"len",
"(",
"contents",
")",
")",
":",
"ymax",
"=",
"max",
"(",
"ymax",
",",
"len",
"(",
"contents",
"[",
"j",
"]",
"[",
"i",
"]",
".",
"split",
"(",
"'\\n'",
")",
")",
")",
"ylengths",
".",
"append",
"(",
"ymax",
")",
"table_divider",
"=",
"'+'",
"+",
"''",
".",
"join",
"(",
"[",
"'-'",
"*",
"i",
"+",
"'+'",
"for",
"i",
"in",
"xlengths",
"]",
")",
"+",
"'\\n'",
"table",
"=",
"table_divider",
"for",
"i",
"in",
"range",
"(",
"len",
"(",
"ylengths",
")",
")",
":",
"row",
"=",
"[",
"column",
"[",
"i",
"]",
"for",
"column",
"in",
"contents",
"]",
"row",
"=",
"[",
"entry",
"+",
"'\\n'",
"*",
"(",
"ylengths",
"[",
"i",
"]",
"-",
"len",
"(",
"entry",
".",
"split",
"(",
"'\\n'",
")",
")",
")",
"for",
"entry",
"in",
"row",
"]",
"row",
"=",
"[",
"entry",
".",
"split",
"(",
"'\\n'",
")",
"for",
"entry",
"in",
"row",
"]",
"for",
"j",
"in",
"range",
"(",
"ylengths",
"[",
"i",
"]",
")",
":",
"k",
"=",
"0",
"for",
"entry",
"in",
"row",
":",
"width",
"=",
"xlengths",
"[",
"k",
"]",
"table",
"+=",
"''",
".",
"join",
"(",
"[",
"'| {:{}}'",
".",
"format",
"(",
"entry",
"[",
"j",
"]",
",",
"width",
"-",
"1",
")",
"]",
")",
"k",
"+=",
"1",
"table",
"+=",
"'|\\n'",
"table",
"+=",
"table_divider",
"return",
"table",
"+",
"'\\n'"
] |
creates a table given any set of columns
|
[
"creates",
"a",
"table",
"given",
"any",
"set",
"of",
"columns"
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/gen-cpydiff.py#L123-L154
|
train
|
micropython/micropython
|
tools/gen-cpydiff.py
|
gen_rst
|
def gen_rst(results):
""" creates restructured text documents to display tests """
# make sure the destination directory exists
try:
os.mkdir(DOCPATH)
except OSError as e:
if e.args[0] != errno.EEXIST and e.args[0] != errno.EISDIR:
raise
toctree = []
class_ = []
for output in results:
section = output.class_.split(',')
for i in range(len(section)):
section[i] = section[i].rstrip()
if section[i] in CLASSMAP:
section[i] = CLASSMAP[section[i]]
if i >= len(class_) or section[i] != class_[i]:
if i == 0:
filename = section[i].replace(' ', '_').lower()
rst = open(DOCPATH + filename + '.rst', 'w')
rst.write(HEADER)
rst.write(section[i] + '\n')
rst.write(RSTCHARS[0] * len(section[i]))
rst.write(time.strftime("\nGenerated %a %d %b %Y %X UTC\n\n", time.gmtime()))
toctree.append(filename)
else:
rst.write(section[i] + '\n')
rst.write(RSTCHARS[min(i, len(RSTCHARS)-1)] * len(section[i]))
rst.write('\n\n')
class_ = section
rst.write('.. _cpydiff_%s:\n\n' % output.name.rsplit('.', 1)[0])
rst.write(output.desc + '\n')
rst.write('~' * len(output.desc) + '\n\n')
if output.cause != 'Unknown':
rst.write('**Cause:** ' + output.cause + '\n\n')
if output.workaround != 'Unknown':
rst.write('**Workaround:** ' + output.workaround + '\n\n')
rst.write('Sample code::\n\n' + indent(output.code, TAB) + '\n')
output_cpy = indent(''.join(output.output_cpy[0:2]), TAB).rstrip()
output_cpy = ('::\n\n' if output_cpy != '' else '') + output_cpy
output_upy = indent(''.join(output.output_upy[0:2]), TAB).rstrip()
output_upy = ('::\n\n' if output_upy != '' else '') + output_upy
table = gen_table([['CPy output:', output_cpy], ['uPy output:', output_upy]])
rst.write(table)
template = open(INDEXTEMPLATE, 'r')
index = open(DOCPATH + INDEX, 'w')
index.write(HEADER)
index.write(template.read())
for section in INDEXPRIORITY:
if section in toctree:
index.write(indent(section + '.rst', TAB))
toctree.remove(section)
for section in toctree:
index.write(indent(section + '.rst', TAB))
|
python
|
def gen_rst(results):
""" creates restructured text documents to display tests """
# make sure the destination directory exists
try:
os.mkdir(DOCPATH)
except OSError as e:
if e.args[0] != errno.EEXIST and e.args[0] != errno.EISDIR:
raise
toctree = []
class_ = []
for output in results:
section = output.class_.split(',')
for i in range(len(section)):
section[i] = section[i].rstrip()
if section[i] in CLASSMAP:
section[i] = CLASSMAP[section[i]]
if i >= len(class_) or section[i] != class_[i]:
if i == 0:
filename = section[i].replace(' ', '_').lower()
rst = open(DOCPATH + filename + '.rst', 'w')
rst.write(HEADER)
rst.write(section[i] + '\n')
rst.write(RSTCHARS[0] * len(section[i]))
rst.write(time.strftime("\nGenerated %a %d %b %Y %X UTC\n\n", time.gmtime()))
toctree.append(filename)
else:
rst.write(section[i] + '\n')
rst.write(RSTCHARS[min(i, len(RSTCHARS)-1)] * len(section[i]))
rst.write('\n\n')
class_ = section
rst.write('.. _cpydiff_%s:\n\n' % output.name.rsplit('.', 1)[0])
rst.write(output.desc + '\n')
rst.write('~' * len(output.desc) + '\n\n')
if output.cause != 'Unknown':
rst.write('**Cause:** ' + output.cause + '\n\n')
if output.workaround != 'Unknown':
rst.write('**Workaround:** ' + output.workaround + '\n\n')
rst.write('Sample code::\n\n' + indent(output.code, TAB) + '\n')
output_cpy = indent(''.join(output.output_cpy[0:2]), TAB).rstrip()
output_cpy = ('::\n\n' if output_cpy != '' else '') + output_cpy
output_upy = indent(''.join(output.output_upy[0:2]), TAB).rstrip()
output_upy = ('::\n\n' if output_upy != '' else '') + output_upy
table = gen_table([['CPy output:', output_cpy], ['uPy output:', output_upy]])
rst.write(table)
template = open(INDEXTEMPLATE, 'r')
index = open(DOCPATH + INDEX, 'w')
index.write(HEADER)
index.write(template.read())
for section in INDEXPRIORITY:
if section in toctree:
index.write(indent(section + '.rst', TAB))
toctree.remove(section)
for section in toctree:
index.write(indent(section + '.rst', TAB))
|
[
"def",
"gen_rst",
"(",
"results",
")",
":",
"# make sure the destination directory exists",
"try",
":",
"os",
".",
"mkdir",
"(",
"DOCPATH",
")",
"except",
"OSError",
"as",
"e",
":",
"if",
"e",
".",
"args",
"[",
"0",
"]",
"!=",
"errno",
".",
"EEXIST",
"and",
"e",
".",
"args",
"[",
"0",
"]",
"!=",
"errno",
".",
"EISDIR",
":",
"raise",
"toctree",
"=",
"[",
"]",
"class_",
"=",
"[",
"]",
"for",
"output",
"in",
"results",
":",
"section",
"=",
"output",
".",
"class_",
".",
"split",
"(",
"','",
")",
"for",
"i",
"in",
"range",
"(",
"len",
"(",
"section",
")",
")",
":",
"section",
"[",
"i",
"]",
"=",
"section",
"[",
"i",
"]",
".",
"rstrip",
"(",
")",
"if",
"section",
"[",
"i",
"]",
"in",
"CLASSMAP",
":",
"section",
"[",
"i",
"]",
"=",
"CLASSMAP",
"[",
"section",
"[",
"i",
"]",
"]",
"if",
"i",
">=",
"len",
"(",
"class_",
")",
"or",
"section",
"[",
"i",
"]",
"!=",
"class_",
"[",
"i",
"]",
":",
"if",
"i",
"==",
"0",
":",
"filename",
"=",
"section",
"[",
"i",
"]",
".",
"replace",
"(",
"' '",
",",
"'_'",
")",
".",
"lower",
"(",
")",
"rst",
"=",
"open",
"(",
"DOCPATH",
"+",
"filename",
"+",
"'.rst'",
",",
"'w'",
")",
"rst",
".",
"write",
"(",
"HEADER",
")",
"rst",
".",
"write",
"(",
"section",
"[",
"i",
"]",
"+",
"'\\n'",
")",
"rst",
".",
"write",
"(",
"RSTCHARS",
"[",
"0",
"]",
"*",
"len",
"(",
"section",
"[",
"i",
"]",
")",
")",
"rst",
".",
"write",
"(",
"time",
".",
"strftime",
"(",
"\"\\nGenerated %a %d %b %Y %X UTC\\n\\n\"",
",",
"time",
".",
"gmtime",
"(",
")",
")",
")",
"toctree",
".",
"append",
"(",
"filename",
")",
"else",
":",
"rst",
".",
"write",
"(",
"section",
"[",
"i",
"]",
"+",
"'\\n'",
")",
"rst",
".",
"write",
"(",
"RSTCHARS",
"[",
"min",
"(",
"i",
",",
"len",
"(",
"RSTCHARS",
")",
"-",
"1",
")",
"]",
"*",
"len",
"(",
"section",
"[",
"i",
"]",
")",
")",
"rst",
".",
"write",
"(",
"'\\n\\n'",
")",
"class_",
"=",
"section",
"rst",
".",
"write",
"(",
"'.. _cpydiff_%s:\\n\\n'",
"%",
"output",
".",
"name",
".",
"rsplit",
"(",
"'.'",
",",
"1",
")",
"[",
"0",
"]",
")",
"rst",
".",
"write",
"(",
"output",
".",
"desc",
"+",
"'\\n'",
")",
"rst",
".",
"write",
"(",
"'~'",
"*",
"len",
"(",
"output",
".",
"desc",
")",
"+",
"'\\n\\n'",
")",
"if",
"output",
".",
"cause",
"!=",
"'Unknown'",
":",
"rst",
".",
"write",
"(",
"'**Cause:** '",
"+",
"output",
".",
"cause",
"+",
"'\\n\\n'",
")",
"if",
"output",
".",
"workaround",
"!=",
"'Unknown'",
":",
"rst",
".",
"write",
"(",
"'**Workaround:** '",
"+",
"output",
".",
"workaround",
"+",
"'\\n\\n'",
")",
"rst",
".",
"write",
"(",
"'Sample code::\\n\\n'",
"+",
"indent",
"(",
"output",
".",
"code",
",",
"TAB",
")",
"+",
"'\\n'",
")",
"output_cpy",
"=",
"indent",
"(",
"''",
".",
"join",
"(",
"output",
".",
"output_cpy",
"[",
"0",
":",
"2",
"]",
")",
",",
"TAB",
")",
".",
"rstrip",
"(",
")",
"output_cpy",
"=",
"(",
"'::\\n\\n'",
"if",
"output_cpy",
"!=",
"''",
"else",
"''",
")",
"+",
"output_cpy",
"output_upy",
"=",
"indent",
"(",
"''",
".",
"join",
"(",
"output",
".",
"output_upy",
"[",
"0",
":",
"2",
"]",
")",
",",
"TAB",
")",
".",
"rstrip",
"(",
")",
"output_upy",
"=",
"(",
"'::\\n\\n'",
"if",
"output_upy",
"!=",
"''",
"else",
"''",
")",
"+",
"output_upy",
"table",
"=",
"gen_table",
"(",
"[",
"[",
"'CPy output:'",
",",
"output_cpy",
"]",
",",
"[",
"'uPy output:'",
",",
"output_upy",
"]",
"]",
")",
"rst",
".",
"write",
"(",
"table",
")",
"template",
"=",
"open",
"(",
"INDEXTEMPLATE",
",",
"'r'",
")",
"index",
"=",
"open",
"(",
"DOCPATH",
"+",
"INDEX",
",",
"'w'",
")",
"index",
".",
"write",
"(",
"HEADER",
")",
"index",
".",
"write",
"(",
"template",
".",
"read",
"(",
")",
")",
"for",
"section",
"in",
"INDEXPRIORITY",
":",
"if",
"section",
"in",
"toctree",
":",
"index",
".",
"write",
"(",
"indent",
"(",
"section",
"+",
"'.rst'",
",",
"TAB",
")",
")",
"toctree",
".",
"remove",
"(",
"section",
")",
"for",
"section",
"in",
"toctree",
":",
"index",
".",
"write",
"(",
"indent",
"(",
"section",
"+",
"'.rst'",
",",
"TAB",
")",
")"
] |
creates restructured text documents to display tests
|
[
"creates",
"restructured",
"text",
"documents",
"to",
"display",
"tests"
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/gen-cpydiff.py#L156-L213
|
train
|
micropython/micropython
|
tools/gen-cpydiff.py
|
main
|
def main():
""" Main function """
# set search path so that test scripts find the test modules (and no other ones)
os.environ['PYTHONPATH'] = TESTPATH
os.environ['MICROPYPATH'] = TESTPATH
files = readfiles()
results = run_tests(files)
gen_rst(results)
|
python
|
def main():
""" Main function """
# set search path so that test scripts find the test modules (and no other ones)
os.environ['PYTHONPATH'] = TESTPATH
os.environ['MICROPYPATH'] = TESTPATH
files = readfiles()
results = run_tests(files)
gen_rst(results)
|
[
"def",
"main",
"(",
")",
":",
"# set search path so that test scripts find the test modules (and no other ones)",
"os",
".",
"environ",
"[",
"'PYTHONPATH'",
"]",
"=",
"TESTPATH",
"os",
".",
"environ",
"[",
"'MICROPYPATH'",
"]",
"=",
"TESTPATH",
"files",
"=",
"readfiles",
"(",
")",
"results",
"=",
"run_tests",
"(",
"files",
")",
"gen_rst",
"(",
"results",
")"
] |
Main function
|
[
"Main",
"function"
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/gen-cpydiff.py#L215-L224
|
train
|
micropython/micropython
|
tools/pydfu.py
|
init
|
def init():
"""Initializes the found DFU device so that we can program it."""
global __dev, __cfg_descr
devices = get_dfu_devices(idVendor=__VID, idProduct=__PID)
if not devices:
raise ValueError('No DFU device found')
if len(devices) > 1:
raise ValueError("Multiple DFU devices found")
__dev = devices[0]
__dev.set_configuration()
# Claim DFU interface
usb.util.claim_interface(__dev, __DFU_INTERFACE)
# Find the DFU configuration descriptor, either in the device or interfaces
__cfg_descr = None
for cfg in __dev.configurations():
__cfg_descr = find_dfu_cfg_descr(cfg.extra_descriptors)
if __cfg_descr:
break
for itf in cfg.interfaces():
__cfg_descr = find_dfu_cfg_descr(itf.extra_descriptors)
if __cfg_descr:
break
# Get device into idle state
for attempt in range(4):
status = get_status()
if status == __DFU_STATE_DFU_IDLE:
break
elif (status == __DFU_STATE_DFU_DOWNLOAD_IDLE
or status == __DFU_STATE_DFU_UPLOAD_IDLE):
abort_request()
else:
clr_status()
|
python
|
def init():
"""Initializes the found DFU device so that we can program it."""
global __dev, __cfg_descr
devices = get_dfu_devices(idVendor=__VID, idProduct=__PID)
if not devices:
raise ValueError('No DFU device found')
if len(devices) > 1:
raise ValueError("Multiple DFU devices found")
__dev = devices[0]
__dev.set_configuration()
# Claim DFU interface
usb.util.claim_interface(__dev, __DFU_INTERFACE)
# Find the DFU configuration descriptor, either in the device or interfaces
__cfg_descr = None
for cfg in __dev.configurations():
__cfg_descr = find_dfu_cfg_descr(cfg.extra_descriptors)
if __cfg_descr:
break
for itf in cfg.interfaces():
__cfg_descr = find_dfu_cfg_descr(itf.extra_descriptors)
if __cfg_descr:
break
# Get device into idle state
for attempt in range(4):
status = get_status()
if status == __DFU_STATE_DFU_IDLE:
break
elif (status == __DFU_STATE_DFU_DOWNLOAD_IDLE
or status == __DFU_STATE_DFU_UPLOAD_IDLE):
abort_request()
else:
clr_status()
|
[
"def",
"init",
"(",
")",
":",
"global",
"__dev",
",",
"__cfg_descr",
"devices",
"=",
"get_dfu_devices",
"(",
"idVendor",
"=",
"__VID",
",",
"idProduct",
"=",
"__PID",
")",
"if",
"not",
"devices",
":",
"raise",
"ValueError",
"(",
"'No DFU device found'",
")",
"if",
"len",
"(",
"devices",
")",
">",
"1",
":",
"raise",
"ValueError",
"(",
"\"Multiple DFU devices found\"",
")",
"__dev",
"=",
"devices",
"[",
"0",
"]",
"__dev",
".",
"set_configuration",
"(",
")",
"# Claim DFU interface",
"usb",
".",
"util",
".",
"claim_interface",
"(",
"__dev",
",",
"__DFU_INTERFACE",
")",
"# Find the DFU configuration descriptor, either in the device or interfaces",
"__cfg_descr",
"=",
"None",
"for",
"cfg",
"in",
"__dev",
".",
"configurations",
"(",
")",
":",
"__cfg_descr",
"=",
"find_dfu_cfg_descr",
"(",
"cfg",
".",
"extra_descriptors",
")",
"if",
"__cfg_descr",
":",
"break",
"for",
"itf",
"in",
"cfg",
".",
"interfaces",
"(",
")",
":",
"__cfg_descr",
"=",
"find_dfu_cfg_descr",
"(",
"itf",
".",
"extra_descriptors",
")",
"if",
"__cfg_descr",
":",
"break",
"# Get device into idle state",
"for",
"attempt",
"in",
"range",
"(",
"4",
")",
":",
"status",
"=",
"get_status",
"(",
")",
"if",
"status",
"==",
"__DFU_STATE_DFU_IDLE",
":",
"break",
"elif",
"(",
"status",
"==",
"__DFU_STATE_DFU_DOWNLOAD_IDLE",
"or",
"status",
"==",
"__DFU_STATE_DFU_UPLOAD_IDLE",
")",
":",
"abort_request",
"(",
")",
"else",
":",
"clr_status",
"(",
")"
] |
Initializes the found DFU device so that we can program it.
|
[
"Initializes",
"the",
"found",
"DFU",
"device",
"so",
"that",
"we",
"can",
"program",
"it",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L92-L126
|
train
|
micropython/micropython
|
tools/pydfu.py
|
mass_erase
|
def mass_erase():
"""Performs a MASS erase (i.e. erases the entire device."""
# Send DNLOAD with first byte=0x41
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 0, __DFU_INTERFACE,
"\x41", __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: erase failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: erase failed")
|
python
|
def mass_erase():
"""Performs a MASS erase (i.e. erases the entire device."""
# Send DNLOAD with first byte=0x41
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 0, __DFU_INTERFACE,
"\x41", __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: erase failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: erase failed")
|
[
"def",
"mass_erase",
"(",
")",
":",
"# Send DNLOAD with first byte=0x41",
"__dev",
".",
"ctrl_transfer",
"(",
"0x21",
",",
"__DFU_DNLOAD",
",",
"0",
",",
"__DFU_INTERFACE",
",",
"\"\\x41\"",
",",
"__TIMEOUT",
")",
"# Execute last command",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_BUSY",
":",
"raise",
"Exception",
"(",
"\"DFU: erase failed\"",
")",
"# Check command state",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_IDLE",
":",
"raise",
"Exception",
"(",
"\"DFU: erase failed\"",
")"
] |
Performs a MASS erase (i.e. erases the entire device.
|
[
"Performs",
"a",
"MASS",
"erase",
"(",
"i",
".",
"e",
".",
"erases",
"the",
"entire",
"device",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L148-L160
|
train
|
micropython/micropython
|
tools/pydfu.py
|
page_erase
|
def page_erase(addr):
"""Erases a single page."""
if __verbose:
print("Erasing page: 0x%x..." % (addr))
# Send DNLOAD with first byte=0x41 and page address
buf = struct.pack("<BI", 0x41, addr)
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 0, __DFU_INTERFACE, buf, __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: erase failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: erase failed")
|
python
|
def page_erase(addr):
"""Erases a single page."""
if __verbose:
print("Erasing page: 0x%x..." % (addr))
# Send DNLOAD with first byte=0x41 and page address
buf = struct.pack("<BI", 0x41, addr)
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 0, __DFU_INTERFACE, buf, __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: erase failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: erase failed")
|
[
"def",
"page_erase",
"(",
"addr",
")",
":",
"if",
"__verbose",
":",
"print",
"(",
"\"Erasing page: 0x%x...\"",
"%",
"(",
"addr",
")",
")",
"# Send DNLOAD with first byte=0x41 and page address",
"buf",
"=",
"struct",
".",
"pack",
"(",
"\"<BI\"",
",",
"0x41",
",",
"addr",
")",
"__dev",
".",
"ctrl_transfer",
"(",
"0x21",
",",
"__DFU_DNLOAD",
",",
"0",
",",
"__DFU_INTERFACE",
",",
"buf",
",",
"__TIMEOUT",
")",
"# Execute last command",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_BUSY",
":",
"raise",
"Exception",
"(",
"\"DFU: erase failed\"",
")",
"# Check command state",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_IDLE",
":",
"raise",
"Exception",
"(",
"\"DFU: erase failed\"",
")"
] |
Erases a single page.
|
[
"Erases",
"a",
"single",
"page",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L163-L179
|
train
|
micropython/micropython
|
tools/pydfu.py
|
set_address
|
def set_address(addr):
"""Sets the address for the next operation."""
# Send DNLOAD with first byte=0x21 and page address
buf = struct.pack("<BI", 0x21, addr)
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 0, __DFU_INTERFACE, buf, __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: set address failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: set address failed")
|
python
|
def set_address(addr):
"""Sets the address for the next operation."""
# Send DNLOAD with first byte=0x21 and page address
buf = struct.pack("<BI", 0x21, addr)
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 0, __DFU_INTERFACE, buf, __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: set address failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: set address failed")
|
[
"def",
"set_address",
"(",
"addr",
")",
":",
"# Send DNLOAD with first byte=0x21 and page address",
"buf",
"=",
"struct",
".",
"pack",
"(",
"\"<BI\"",
",",
"0x21",
",",
"addr",
")",
"__dev",
".",
"ctrl_transfer",
"(",
"0x21",
",",
"__DFU_DNLOAD",
",",
"0",
",",
"__DFU_INTERFACE",
",",
"buf",
",",
"__TIMEOUT",
")",
"# Execute last command",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_BUSY",
":",
"raise",
"Exception",
"(",
"\"DFU: set address failed\"",
")",
"# Check command state",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_IDLE",
":",
"raise",
"Exception",
"(",
"\"DFU: set address failed\"",
")"
] |
Sets the address for the next operation.
|
[
"Sets",
"the",
"address",
"for",
"the",
"next",
"operation",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L182-L194
|
train
|
micropython/micropython
|
tools/pydfu.py
|
write_memory
|
def write_memory(addr, buf, progress=None, progress_addr=0, progress_size=0):
"""Writes a buffer into memory. This routine assumes that memory has
already been erased.
"""
xfer_count = 0
xfer_bytes = 0
xfer_total = len(buf)
xfer_base = addr
while xfer_bytes < xfer_total:
if __verbose and xfer_count % 512 == 0:
print ("Addr 0x%x %dKBs/%dKBs..." % (xfer_base + xfer_bytes,
xfer_bytes // 1024,
xfer_total // 1024))
if progress and xfer_count % 2 == 0:
progress(progress_addr, xfer_base + xfer_bytes - progress_addr,
progress_size)
# Set mem write address
set_address(xfer_base+xfer_bytes)
# Send DNLOAD with fw data
chunk = min(__cfg_descr.wTransferSize, xfer_total-xfer_bytes)
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 2, __DFU_INTERFACE,
buf[xfer_bytes:xfer_bytes + chunk], __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: write memory failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: write memory failed")
xfer_count += 1
xfer_bytes += chunk
|
python
|
def write_memory(addr, buf, progress=None, progress_addr=0, progress_size=0):
"""Writes a buffer into memory. This routine assumes that memory has
already been erased.
"""
xfer_count = 0
xfer_bytes = 0
xfer_total = len(buf)
xfer_base = addr
while xfer_bytes < xfer_total:
if __verbose and xfer_count % 512 == 0:
print ("Addr 0x%x %dKBs/%dKBs..." % (xfer_base + xfer_bytes,
xfer_bytes // 1024,
xfer_total // 1024))
if progress and xfer_count % 2 == 0:
progress(progress_addr, xfer_base + xfer_bytes - progress_addr,
progress_size)
# Set mem write address
set_address(xfer_base+xfer_bytes)
# Send DNLOAD with fw data
chunk = min(__cfg_descr.wTransferSize, xfer_total-xfer_bytes)
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 2, __DFU_INTERFACE,
buf[xfer_bytes:xfer_bytes + chunk], __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: write memory failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: write memory failed")
xfer_count += 1
xfer_bytes += chunk
|
[
"def",
"write_memory",
"(",
"addr",
",",
"buf",
",",
"progress",
"=",
"None",
",",
"progress_addr",
"=",
"0",
",",
"progress_size",
"=",
"0",
")",
":",
"xfer_count",
"=",
"0",
"xfer_bytes",
"=",
"0",
"xfer_total",
"=",
"len",
"(",
"buf",
")",
"xfer_base",
"=",
"addr",
"while",
"xfer_bytes",
"<",
"xfer_total",
":",
"if",
"__verbose",
"and",
"xfer_count",
"%",
"512",
"==",
"0",
":",
"print",
"(",
"\"Addr 0x%x %dKBs/%dKBs...\"",
"%",
"(",
"xfer_base",
"+",
"xfer_bytes",
",",
"xfer_bytes",
"//",
"1024",
",",
"xfer_total",
"//",
"1024",
")",
")",
"if",
"progress",
"and",
"xfer_count",
"%",
"2",
"==",
"0",
":",
"progress",
"(",
"progress_addr",
",",
"xfer_base",
"+",
"xfer_bytes",
"-",
"progress_addr",
",",
"progress_size",
")",
"# Set mem write address",
"set_address",
"(",
"xfer_base",
"+",
"xfer_bytes",
")",
"# Send DNLOAD with fw data",
"chunk",
"=",
"min",
"(",
"__cfg_descr",
".",
"wTransferSize",
",",
"xfer_total",
"-",
"xfer_bytes",
")",
"__dev",
".",
"ctrl_transfer",
"(",
"0x21",
",",
"__DFU_DNLOAD",
",",
"2",
",",
"__DFU_INTERFACE",
",",
"buf",
"[",
"xfer_bytes",
":",
"xfer_bytes",
"+",
"chunk",
"]",
",",
"__TIMEOUT",
")",
"# Execute last command",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_BUSY",
":",
"raise",
"Exception",
"(",
"\"DFU: write memory failed\"",
")",
"# Check command state",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_IDLE",
":",
"raise",
"Exception",
"(",
"\"DFU: write memory failed\"",
")",
"xfer_count",
"+=",
"1",
"xfer_bytes",
"+=",
"chunk"
] |
Writes a buffer into memory. This routine assumes that memory has
already been erased.
|
[
"Writes",
"a",
"buffer",
"into",
"memory",
".",
"This",
"routine",
"assumes",
"that",
"memory",
"has",
"already",
"been",
"erased",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L197-L233
|
train
|
micropython/micropython
|
tools/pydfu.py
|
write_page
|
def write_page(buf, xfer_offset):
"""Writes a single page. This routine assumes that memory has already
been erased.
"""
xfer_base = 0x08000000
# Set mem write address
set_address(xfer_base+xfer_offset)
# Send DNLOAD with fw data
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 2, __DFU_INTERFACE, buf, __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: write memory failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: write memory failed")
if __verbose:
print ("Write: 0x%x " % (xfer_base + xfer_offset))
|
python
|
def write_page(buf, xfer_offset):
"""Writes a single page. This routine assumes that memory has already
been erased.
"""
xfer_base = 0x08000000
# Set mem write address
set_address(xfer_base+xfer_offset)
# Send DNLOAD with fw data
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 2, __DFU_INTERFACE, buf, __TIMEOUT)
# Execute last command
if get_status() != __DFU_STATE_DFU_DOWNLOAD_BUSY:
raise Exception("DFU: write memory failed")
# Check command state
if get_status() != __DFU_STATE_DFU_DOWNLOAD_IDLE:
raise Exception("DFU: write memory failed")
if __verbose:
print ("Write: 0x%x " % (xfer_base + xfer_offset))
|
[
"def",
"write_page",
"(",
"buf",
",",
"xfer_offset",
")",
":",
"xfer_base",
"=",
"0x08000000",
"# Set mem write address",
"set_address",
"(",
"xfer_base",
"+",
"xfer_offset",
")",
"# Send DNLOAD with fw data",
"__dev",
".",
"ctrl_transfer",
"(",
"0x21",
",",
"__DFU_DNLOAD",
",",
"2",
",",
"__DFU_INTERFACE",
",",
"buf",
",",
"__TIMEOUT",
")",
"# Execute last command",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_BUSY",
":",
"raise",
"Exception",
"(",
"\"DFU: write memory failed\"",
")",
"# Check command state",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_DOWNLOAD_IDLE",
":",
"raise",
"Exception",
"(",
"\"DFU: write memory failed\"",
")",
"if",
"__verbose",
":",
"print",
"(",
"\"Write: 0x%x \"",
"%",
"(",
"xfer_base",
"+",
"xfer_offset",
")",
")"
] |
Writes a single page. This routine assumes that memory has already
been erased.
|
[
"Writes",
"a",
"single",
"page",
".",
"This",
"routine",
"assumes",
"that",
"memory",
"has",
"already",
"been",
"erased",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L236-L258
|
train
|
micropython/micropython
|
tools/pydfu.py
|
exit_dfu
|
def exit_dfu():
"""Exit DFU mode, and start running the program."""
# set jump address
set_address(0x08000000)
# Send DNLOAD with 0 length to exit DFU
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 0, __DFU_INTERFACE,
None, __TIMEOUT)
try:
# Execute last command
if get_status() != __DFU_STATE_DFU_MANIFEST:
print("Failed to reset device")
# Release device
usb.util.dispose_resources(__dev)
except:
pass
|
python
|
def exit_dfu():
"""Exit DFU mode, and start running the program."""
# set jump address
set_address(0x08000000)
# Send DNLOAD with 0 length to exit DFU
__dev.ctrl_transfer(0x21, __DFU_DNLOAD, 0, __DFU_INTERFACE,
None, __TIMEOUT)
try:
# Execute last command
if get_status() != __DFU_STATE_DFU_MANIFEST:
print("Failed to reset device")
# Release device
usb.util.dispose_resources(__dev)
except:
pass
|
[
"def",
"exit_dfu",
"(",
")",
":",
"# set jump address",
"set_address",
"(",
"0x08000000",
")",
"# Send DNLOAD with 0 length to exit DFU",
"__dev",
".",
"ctrl_transfer",
"(",
"0x21",
",",
"__DFU_DNLOAD",
",",
"0",
",",
"__DFU_INTERFACE",
",",
"None",
",",
"__TIMEOUT",
")",
"try",
":",
"# Execute last command",
"if",
"get_status",
"(",
")",
"!=",
"__DFU_STATE_DFU_MANIFEST",
":",
"print",
"(",
"\"Failed to reset device\"",
")",
"# Release device",
"usb",
".",
"util",
".",
"dispose_resources",
"(",
"__dev",
")",
"except",
":",
"pass"
] |
Exit DFU mode, and start running the program.
|
[
"Exit",
"DFU",
"mode",
"and",
"start",
"running",
"the",
"program",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L261-L279
|
train
|
micropython/micropython
|
tools/pydfu.py
|
consume
|
def consume(fmt, data, names):
"""Parses the struct defined by `fmt` from `data`, stores the parsed fields
into a named tuple using `names`. Returns the named tuple, and the data
with the struct stripped off."""
size = struct.calcsize(fmt)
return named(struct.unpack(fmt, data[:size]), names), data[size:]
|
python
|
def consume(fmt, data, names):
"""Parses the struct defined by `fmt` from `data`, stores the parsed fields
into a named tuple using `names`. Returns the named tuple, and the data
with the struct stripped off."""
size = struct.calcsize(fmt)
return named(struct.unpack(fmt, data[:size]), names), data[size:]
|
[
"def",
"consume",
"(",
"fmt",
",",
"data",
",",
"names",
")",
":",
"size",
"=",
"struct",
".",
"calcsize",
"(",
"fmt",
")",
"return",
"named",
"(",
"struct",
".",
"unpack",
"(",
"fmt",
",",
"data",
"[",
":",
"size",
"]",
")",
",",
"names",
")",
",",
"data",
"[",
"size",
":",
"]"
] |
Parses the struct defined by `fmt` from `data`, stores the parsed fields
into a named tuple using `names`. Returns the named tuple, and the data
with the struct stripped off.
|
[
"Parses",
"the",
"struct",
"defined",
"by",
"fmt",
"from",
"data",
"stores",
"the",
"parsed",
"fields",
"into",
"a",
"named",
"tuple",
"using",
"names",
".",
"Returns",
"the",
"named",
"tuple",
"and",
"the",
"data",
"with",
"the",
"struct",
"stripped",
"off",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L287-L292
|
train
|
micropython/micropython
|
tools/pydfu.py
|
read_dfu_file
|
def read_dfu_file(filename):
"""Reads a DFU file, and parses the individual elements from the file.
Returns an array of elements. Each element is a dictionary with the
following keys:
num - The element index
address - The address that the element data should be written to.
size - The size of the element ddata.
data - The element data.
If an error occurs while parsing the file, then None is returned.
"""
print("File: {}".format(filename))
with open(filename, 'rb') as fin:
data = fin.read()
crc = compute_crc(data[:-4])
elements = []
# Decode the DFU Prefix
#
# <5sBIB
# < little endian
# 5s char[5] signature "DfuSe"
# B uint8_t version 1
# I uint32_t size Size of the DFU file (not including suffix)
# B uint8_t targets Number of targets
dfu_prefix, data = consume('<5sBIB', data,
'signature version size targets')
print (" %(signature)s v%(version)d, image size: %(size)d, "
"targets: %(targets)d" % dfu_prefix)
for target_idx in range(dfu_prefix['targets']):
# Decode the Image Prefix
#
# <6sBI255s2I
# < little endian
# 6s char[6] signature "Target"
# B uint8_t altsetting
# I uint32_t named bool indicating if a name was used
# 255s char[255] name name of the target
# I uint32_t size size of image (not incl prefix)
# I uint32_t elements Number of elements in the image
img_prefix, data = consume('<6sBI255s2I', data,
'signature altsetting named name '
'size elements')
img_prefix['num'] = target_idx
if img_prefix['named']:
img_prefix['name'] = cstring(img_prefix['name'])
else:
img_prefix['name'] = ''
print(' %(signature)s %(num)d, alt setting: %(altsetting)s, '
'name: "%(name)s", size: %(size)d, elements: %(elements)d'
% img_prefix)
target_size = img_prefix['size']
target_data, data = data[:target_size], data[target_size:]
for elem_idx in range(img_prefix['elements']):
# Decode target prefix
# < little endian
# I uint32_t element address
# I uint32_t element size
elem_prefix, target_data = consume('<2I', target_data, 'addr size')
elem_prefix['num'] = elem_idx
print(' %(num)d, address: 0x%(addr)08x, size: %(size)d'
% elem_prefix)
elem_size = elem_prefix['size']
elem_data = target_data[:elem_size]
target_data = target_data[elem_size:]
elem_prefix['data'] = elem_data
elements.append(elem_prefix)
if len(target_data):
print("target %d PARSE ERROR" % target_idx)
# Decode DFU Suffix
# < little endian
# H uint16_t device Firmware version
# H uint16_t product
# H uint16_t vendor
# H uint16_t dfu 0x11a (DFU file format version)
# 3s char[3] ufd 'UFD'
# B uint8_t len 16
# I uint32_t crc32
dfu_suffix = named(struct.unpack('<4H3sBI', data[:16]),
'device product vendor dfu ufd len crc')
print (' usb: %(vendor)04x:%(product)04x, device: 0x%(device)04x, '
'dfu: 0x%(dfu)04x, %(ufd)s, %(len)d, 0x%(crc)08x' % dfu_suffix)
if crc != dfu_suffix['crc']:
print("CRC ERROR: computed crc32 is 0x%08x" % crc)
return
data = data[16:]
if data:
print("PARSE ERROR")
return
return elements
|
python
|
def read_dfu_file(filename):
"""Reads a DFU file, and parses the individual elements from the file.
Returns an array of elements. Each element is a dictionary with the
following keys:
num - The element index
address - The address that the element data should be written to.
size - The size of the element ddata.
data - The element data.
If an error occurs while parsing the file, then None is returned.
"""
print("File: {}".format(filename))
with open(filename, 'rb') as fin:
data = fin.read()
crc = compute_crc(data[:-4])
elements = []
# Decode the DFU Prefix
#
# <5sBIB
# < little endian
# 5s char[5] signature "DfuSe"
# B uint8_t version 1
# I uint32_t size Size of the DFU file (not including suffix)
# B uint8_t targets Number of targets
dfu_prefix, data = consume('<5sBIB', data,
'signature version size targets')
print (" %(signature)s v%(version)d, image size: %(size)d, "
"targets: %(targets)d" % dfu_prefix)
for target_idx in range(dfu_prefix['targets']):
# Decode the Image Prefix
#
# <6sBI255s2I
# < little endian
# 6s char[6] signature "Target"
# B uint8_t altsetting
# I uint32_t named bool indicating if a name was used
# 255s char[255] name name of the target
# I uint32_t size size of image (not incl prefix)
# I uint32_t elements Number of elements in the image
img_prefix, data = consume('<6sBI255s2I', data,
'signature altsetting named name '
'size elements')
img_prefix['num'] = target_idx
if img_prefix['named']:
img_prefix['name'] = cstring(img_prefix['name'])
else:
img_prefix['name'] = ''
print(' %(signature)s %(num)d, alt setting: %(altsetting)s, '
'name: "%(name)s", size: %(size)d, elements: %(elements)d'
% img_prefix)
target_size = img_prefix['size']
target_data, data = data[:target_size], data[target_size:]
for elem_idx in range(img_prefix['elements']):
# Decode target prefix
# < little endian
# I uint32_t element address
# I uint32_t element size
elem_prefix, target_data = consume('<2I', target_data, 'addr size')
elem_prefix['num'] = elem_idx
print(' %(num)d, address: 0x%(addr)08x, size: %(size)d'
% elem_prefix)
elem_size = elem_prefix['size']
elem_data = target_data[:elem_size]
target_data = target_data[elem_size:]
elem_prefix['data'] = elem_data
elements.append(elem_prefix)
if len(target_data):
print("target %d PARSE ERROR" % target_idx)
# Decode DFU Suffix
# < little endian
# H uint16_t device Firmware version
# H uint16_t product
# H uint16_t vendor
# H uint16_t dfu 0x11a (DFU file format version)
# 3s char[3] ufd 'UFD'
# B uint8_t len 16
# I uint32_t crc32
dfu_suffix = named(struct.unpack('<4H3sBI', data[:16]),
'device product vendor dfu ufd len crc')
print (' usb: %(vendor)04x:%(product)04x, device: 0x%(device)04x, '
'dfu: 0x%(dfu)04x, %(ufd)s, %(len)d, 0x%(crc)08x' % dfu_suffix)
if crc != dfu_suffix['crc']:
print("CRC ERROR: computed crc32 is 0x%08x" % crc)
return
data = data[16:]
if data:
print("PARSE ERROR")
return
return elements
|
[
"def",
"read_dfu_file",
"(",
"filename",
")",
":",
"print",
"(",
"\"File: {}\"",
".",
"format",
"(",
"filename",
")",
")",
"with",
"open",
"(",
"filename",
",",
"'rb'",
")",
"as",
"fin",
":",
"data",
"=",
"fin",
".",
"read",
"(",
")",
"crc",
"=",
"compute_crc",
"(",
"data",
"[",
":",
"-",
"4",
"]",
")",
"elements",
"=",
"[",
"]",
"# Decode the DFU Prefix",
"#",
"# <5sBIB",
"# < little endian",
"# 5s char[5] signature \"DfuSe\"",
"# B uint8_t version 1",
"# I uint32_t size Size of the DFU file (not including suffix)",
"# B uint8_t targets Number of targets",
"dfu_prefix",
",",
"data",
"=",
"consume",
"(",
"'<5sBIB'",
",",
"data",
",",
"'signature version size targets'",
")",
"print",
"(",
"\" %(signature)s v%(version)d, image size: %(size)d, \"",
"\"targets: %(targets)d\"",
"%",
"dfu_prefix",
")",
"for",
"target_idx",
"in",
"range",
"(",
"dfu_prefix",
"[",
"'targets'",
"]",
")",
":",
"# Decode the Image Prefix",
"#",
"# <6sBI255s2I",
"# < little endian",
"# 6s char[6] signature \"Target\"",
"# B uint8_t altsetting",
"# I uint32_t named bool indicating if a name was used",
"# 255s char[255] name name of the target",
"# I uint32_t size size of image (not incl prefix)",
"# I uint32_t elements Number of elements in the image",
"img_prefix",
",",
"data",
"=",
"consume",
"(",
"'<6sBI255s2I'",
",",
"data",
",",
"'signature altsetting named name '",
"'size elements'",
")",
"img_prefix",
"[",
"'num'",
"]",
"=",
"target_idx",
"if",
"img_prefix",
"[",
"'named'",
"]",
":",
"img_prefix",
"[",
"'name'",
"]",
"=",
"cstring",
"(",
"img_prefix",
"[",
"'name'",
"]",
")",
"else",
":",
"img_prefix",
"[",
"'name'",
"]",
"=",
"''",
"print",
"(",
"' %(signature)s %(num)d, alt setting: %(altsetting)s, '",
"'name: \"%(name)s\", size: %(size)d, elements: %(elements)d'",
"%",
"img_prefix",
")",
"target_size",
"=",
"img_prefix",
"[",
"'size'",
"]",
"target_data",
",",
"data",
"=",
"data",
"[",
":",
"target_size",
"]",
",",
"data",
"[",
"target_size",
":",
"]",
"for",
"elem_idx",
"in",
"range",
"(",
"img_prefix",
"[",
"'elements'",
"]",
")",
":",
"# Decode target prefix",
"# < little endian",
"# I uint32_t element address",
"# I uint32_t element size",
"elem_prefix",
",",
"target_data",
"=",
"consume",
"(",
"'<2I'",
",",
"target_data",
",",
"'addr size'",
")",
"elem_prefix",
"[",
"'num'",
"]",
"=",
"elem_idx",
"print",
"(",
"' %(num)d, address: 0x%(addr)08x, size: %(size)d'",
"%",
"elem_prefix",
")",
"elem_size",
"=",
"elem_prefix",
"[",
"'size'",
"]",
"elem_data",
"=",
"target_data",
"[",
":",
"elem_size",
"]",
"target_data",
"=",
"target_data",
"[",
"elem_size",
":",
"]",
"elem_prefix",
"[",
"'data'",
"]",
"=",
"elem_data",
"elements",
".",
"append",
"(",
"elem_prefix",
")",
"if",
"len",
"(",
"target_data",
")",
":",
"print",
"(",
"\"target %d PARSE ERROR\"",
"%",
"target_idx",
")",
"# Decode DFU Suffix",
"# < little endian",
"# H uint16_t device Firmware version",
"# H uint16_t product",
"# H uint16_t vendor",
"# H uint16_t dfu 0x11a (DFU file format version)",
"# 3s char[3] ufd 'UFD'",
"# B uint8_t len 16",
"# I uint32_t crc32",
"dfu_suffix",
"=",
"named",
"(",
"struct",
".",
"unpack",
"(",
"'<4H3sBI'",
",",
"data",
"[",
":",
"16",
"]",
")",
",",
"'device product vendor dfu ufd len crc'",
")",
"print",
"(",
"' usb: %(vendor)04x:%(product)04x, device: 0x%(device)04x, '",
"'dfu: 0x%(dfu)04x, %(ufd)s, %(len)d, 0x%(crc)08x'",
"%",
"dfu_suffix",
")",
"if",
"crc",
"!=",
"dfu_suffix",
"[",
"'crc'",
"]",
":",
"print",
"(",
"\"CRC ERROR: computed crc32 is 0x%08x\"",
"%",
"crc",
")",
"return",
"data",
"=",
"data",
"[",
"16",
":",
"]",
"if",
"data",
":",
"print",
"(",
"\"PARSE ERROR\"",
")",
"return",
"return",
"elements"
] |
Reads a DFU file, and parses the individual elements from the file.
Returns an array of elements. Each element is a dictionary with the
following keys:
num - The element index
address - The address that the element data should be written to.
size - The size of the element ddata.
data - The element data.
If an error occurs while parsing the file, then None is returned.
|
[
"Reads",
"a",
"DFU",
"file",
"and",
"parses",
"the",
"individual",
"elements",
"from",
"the",
"file",
".",
"Returns",
"an",
"array",
"of",
"elements",
".",
"Each",
"element",
"is",
"a",
"dictionary",
"with",
"the",
"following",
"keys",
":",
"num",
"-",
"The",
"element",
"index",
"address",
"-",
"The",
"address",
"that",
"the",
"element",
"data",
"should",
"be",
"written",
"to",
".",
"size",
"-",
"The",
"size",
"of",
"the",
"element",
"ddata",
".",
"data",
"-",
"The",
"element",
"data",
".",
"If",
"an",
"error",
"occurs",
"while",
"parsing",
"the",
"file",
"then",
"None",
"is",
"returned",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L305-L398
|
train
|
micropython/micropython
|
tools/pydfu.py
|
get_dfu_devices
|
def get_dfu_devices(*args, **kwargs):
"""Returns a list of USB device which are currently in DFU mode.
Additional filters (like idProduct and idVendor) can be passed in to
refine the search.
"""
# convert to list for compatibility with newer pyusb
return list(usb.core.find(*args, find_all=True,
custom_match=FilterDFU(), **kwargs))
|
python
|
def get_dfu_devices(*args, **kwargs):
"""Returns a list of USB device which are currently in DFU mode.
Additional filters (like idProduct and idVendor) can be passed in to
refine the search.
"""
# convert to list for compatibility with newer pyusb
return list(usb.core.find(*args, find_all=True,
custom_match=FilterDFU(), **kwargs))
|
[
"def",
"get_dfu_devices",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"# convert to list for compatibility with newer pyusb",
"return",
"list",
"(",
"usb",
".",
"core",
".",
"find",
"(",
"*",
"args",
",",
"find_all",
"=",
"True",
",",
"custom_match",
"=",
"FilterDFU",
"(",
")",
",",
"*",
"*",
"kwargs",
")",
")"
] |
Returns a list of USB device which are currently in DFU mode.
Additional filters (like idProduct and idVendor) can be passed in to
refine the search.
|
[
"Returns",
"a",
"list",
"of",
"USB",
"device",
"which",
"are",
"currently",
"in",
"DFU",
"mode",
".",
"Additional",
"filters",
"(",
"like",
"idProduct",
"and",
"idVendor",
")",
"can",
"be",
"passed",
"in",
"to",
"refine",
"the",
"search",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L413-L420
|
train
|
micropython/micropython
|
tools/pydfu.py
|
get_memory_layout
|
def get_memory_layout(device):
"""Returns an array which identifies the memory layout. Each entry
of the array will contain a dictionary with the following keys:
addr - Address of this memory segment
last_addr - Last address contained within the memory segment.
size - size of the segment, in bytes
num_pages - number of pages in the segment
page_size - size of each page, in bytes
"""
cfg = device[0]
intf = cfg[(0, 0)]
mem_layout_str = get_string(device, intf.iInterface)
mem_layout = mem_layout_str.split('/')
result = []
for mem_layout_index in range(1, len(mem_layout), 2):
addr = int(mem_layout[mem_layout_index], 0)
segments = mem_layout[mem_layout_index + 1].split(',')
seg_re = re.compile(r'(\d+)\*(\d+)(.)(.)')
for segment in segments:
seg_match = seg_re.match(segment)
num_pages = int(seg_match.groups()[0], 10)
page_size = int(seg_match.groups()[1], 10)
multiplier = seg_match.groups()[2]
if multiplier == 'K':
page_size *= 1024
if multiplier == 'M':
page_size *= 1024 * 1024
size = num_pages * page_size
last_addr = addr + size - 1
result.append(named((addr, last_addr, size, num_pages, page_size),
"addr last_addr size num_pages page_size"))
addr += size
return result
|
python
|
def get_memory_layout(device):
"""Returns an array which identifies the memory layout. Each entry
of the array will contain a dictionary with the following keys:
addr - Address of this memory segment
last_addr - Last address contained within the memory segment.
size - size of the segment, in bytes
num_pages - number of pages in the segment
page_size - size of each page, in bytes
"""
cfg = device[0]
intf = cfg[(0, 0)]
mem_layout_str = get_string(device, intf.iInterface)
mem_layout = mem_layout_str.split('/')
result = []
for mem_layout_index in range(1, len(mem_layout), 2):
addr = int(mem_layout[mem_layout_index], 0)
segments = mem_layout[mem_layout_index + 1].split(',')
seg_re = re.compile(r'(\d+)\*(\d+)(.)(.)')
for segment in segments:
seg_match = seg_re.match(segment)
num_pages = int(seg_match.groups()[0], 10)
page_size = int(seg_match.groups()[1], 10)
multiplier = seg_match.groups()[2]
if multiplier == 'K':
page_size *= 1024
if multiplier == 'M':
page_size *= 1024 * 1024
size = num_pages * page_size
last_addr = addr + size - 1
result.append(named((addr, last_addr, size, num_pages, page_size),
"addr last_addr size num_pages page_size"))
addr += size
return result
|
[
"def",
"get_memory_layout",
"(",
"device",
")",
":",
"cfg",
"=",
"device",
"[",
"0",
"]",
"intf",
"=",
"cfg",
"[",
"(",
"0",
",",
"0",
")",
"]",
"mem_layout_str",
"=",
"get_string",
"(",
"device",
",",
"intf",
".",
"iInterface",
")",
"mem_layout",
"=",
"mem_layout_str",
".",
"split",
"(",
"'/'",
")",
"result",
"=",
"[",
"]",
"for",
"mem_layout_index",
"in",
"range",
"(",
"1",
",",
"len",
"(",
"mem_layout",
")",
",",
"2",
")",
":",
"addr",
"=",
"int",
"(",
"mem_layout",
"[",
"mem_layout_index",
"]",
",",
"0",
")",
"segments",
"=",
"mem_layout",
"[",
"mem_layout_index",
"+",
"1",
"]",
".",
"split",
"(",
"','",
")",
"seg_re",
"=",
"re",
".",
"compile",
"(",
"r'(\\d+)\\*(\\d+)(.)(.)'",
")",
"for",
"segment",
"in",
"segments",
":",
"seg_match",
"=",
"seg_re",
".",
"match",
"(",
"segment",
")",
"num_pages",
"=",
"int",
"(",
"seg_match",
".",
"groups",
"(",
")",
"[",
"0",
"]",
",",
"10",
")",
"page_size",
"=",
"int",
"(",
"seg_match",
".",
"groups",
"(",
")",
"[",
"1",
"]",
",",
"10",
")",
"multiplier",
"=",
"seg_match",
".",
"groups",
"(",
")",
"[",
"2",
"]",
"if",
"multiplier",
"==",
"'K'",
":",
"page_size",
"*=",
"1024",
"if",
"multiplier",
"==",
"'M'",
":",
"page_size",
"*=",
"1024",
"*",
"1024",
"size",
"=",
"num_pages",
"*",
"page_size",
"last_addr",
"=",
"addr",
"+",
"size",
"-",
"1",
"result",
".",
"append",
"(",
"named",
"(",
"(",
"addr",
",",
"last_addr",
",",
"size",
",",
"num_pages",
",",
"page_size",
")",
",",
"\"addr last_addr size num_pages page_size\"",
")",
")",
"addr",
"+=",
"size",
"return",
"result"
] |
Returns an array which identifies the memory layout. Each entry
of the array will contain a dictionary with the following keys:
addr - Address of this memory segment
last_addr - Last address contained within the memory segment.
size - size of the segment, in bytes
num_pages - number of pages in the segment
page_size - size of each page, in bytes
|
[
"Returns",
"an",
"array",
"which",
"identifies",
"the",
"memory",
"layout",
".",
"Each",
"entry",
"of",
"the",
"array",
"will",
"contain",
"a",
"dictionary",
"with",
"the",
"following",
"keys",
":",
"addr",
"-",
"Address",
"of",
"this",
"memory",
"segment",
"last_addr",
"-",
"Last",
"address",
"contained",
"within",
"the",
"memory",
"segment",
".",
"size",
"-",
"size",
"of",
"the",
"segment",
"in",
"bytes",
"num_pages",
"-",
"number",
"of",
"pages",
"in",
"the",
"segment",
"page_size",
"-",
"size",
"of",
"each",
"page",
"in",
"bytes"
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L423-L455
|
train
|
micropython/micropython
|
tools/pydfu.py
|
list_dfu_devices
|
def list_dfu_devices(*args, **kwargs):
"""Prints a lits of devices detected in DFU mode."""
devices = get_dfu_devices(*args, **kwargs)
if not devices:
print("No DFU capable devices found")
return
for device in devices:
print("Bus {} Device {:03d}: ID {:04x}:{:04x}"
.format(device.bus, device.address,
device.idVendor, device.idProduct))
layout = get_memory_layout(device)
print("Memory Layout")
for entry in layout:
print(" 0x{:x} {:2d} pages of {:3d}K bytes"
.format(entry['addr'], entry['num_pages'],
entry['page_size'] // 1024))
|
python
|
def list_dfu_devices(*args, **kwargs):
"""Prints a lits of devices detected in DFU mode."""
devices = get_dfu_devices(*args, **kwargs)
if not devices:
print("No DFU capable devices found")
return
for device in devices:
print("Bus {} Device {:03d}: ID {:04x}:{:04x}"
.format(device.bus, device.address,
device.idVendor, device.idProduct))
layout = get_memory_layout(device)
print("Memory Layout")
for entry in layout:
print(" 0x{:x} {:2d} pages of {:3d}K bytes"
.format(entry['addr'], entry['num_pages'],
entry['page_size'] // 1024))
|
[
"def",
"list_dfu_devices",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"devices",
"=",
"get_dfu_devices",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"if",
"not",
"devices",
":",
"print",
"(",
"\"No DFU capable devices found\"",
")",
"return",
"for",
"device",
"in",
"devices",
":",
"print",
"(",
"\"Bus {} Device {:03d}: ID {:04x}:{:04x}\"",
".",
"format",
"(",
"device",
".",
"bus",
",",
"device",
".",
"address",
",",
"device",
".",
"idVendor",
",",
"device",
".",
"idProduct",
")",
")",
"layout",
"=",
"get_memory_layout",
"(",
"device",
")",
"print",
"(",
"\"Memory Layout\"",
")",
"for",
"entry",
"in",
"layout",
":",
"print",
"(",
"\" 0x{:x} {:2d} pages of {:3d}K bytes\"",
".",
"format",
"(",
"entry",
"[",
"'addr'",
"]",
",",
"entry",
"[",
"'num_pages'",
"]",
",",
"entry",
"[",
"'page_size'",
"]",
"//",
"1024",
")",
")"
] |
Prints a lits of devices detected in DFU mode.
|
[
"Prints",
"a",
"lits",
"of",
"devices",
"detected",
"in",
"DFU",
"mode",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L458-L473
|
train
|
micropython/micropython
|
tools/pydfu.py
|
write_elements
|
def write_elements(elements, mass_erase_used, progress=None):
"""Writes the indicated elements into the target memory,
erasing as needed.
"""
mem_layout = get_memory_layout(__dev)
for elem in elements:
addr = elem['addr']
size = elem['size']
data = elem['data']
elem_size = size
elem_addr = addr
if progress:
progress(elem_addr, 0, elem_size)
while size > 0:
write_size = size
if not mass_erase_used:
for segment in mem_layout:
if addr >= segment['addr'] and \
addr <= segment['last_addr']:
# We found the page containing the address we want to
# write, erase it
page_size = segment['page_size']
page_addr = addr & ~(page_size - 1)
if addr + write_size > page_addr + page_size:
write_size = page_addr + page_size - addr
page_erase(page_addr)
break
write_memory(addr, data[:write_size], progress,
elem_addr, elem_size)
data = data[write_size:]
addr += write_size
size -= write_size
if progress:
progress(elem_addr, addr - elem_addr, elem_size)
|
python
|
def write_elements(elements, mass_erase_used, progress=None):
"""Writes the indicated elements into the target memory,
erasing as needed.
"""
mem_layout = get_memory_layout(__dev)
for elem in elements:
addr = elem['addr']
size = elem['size']
data = elem['data']
elem_size = size
elem_addr = addr
if progress:
progress(elem_addr, 0, elem_size)
while size > 0:
write_size = size
if not mass_erase_used:
for segment in mem_layout:
if addr >= segment['addr'] and \
addr <= segment['last_addr']:
# We found the page containing the address we want to
# write, erase it
page_size = segment['page_size']
page_addr = addr & ~(page_size - 1)
if addr + write_size > page_addr + page_size:
write_size = page_addr + page_size - addr
page_erase(page_addr)
break
write_memory(addr, data[:write_size], progress,
elem_addr, elem_size)
data = data[write_size:]
addr += write_size
size -= write_size
if progress:
progress(elem_addr, addr - elem_addr, elem_size)
|
[
"def",
"write_elements",
"(",
"elements",
",",
"mass_erase_used",
",",
"progress",
"=",
"None",
")",
":",
"mem_layout",
"=",
"get_memory_layout",
"(",
"__dev",
")",
"for",
"elem",
"in",
"elements",
":",
"addr",
"=",
"elem",
"[",
"'addr'",
"]",
"size",
"=",
"elem",
"[",
"'size'",
"]",
"data",
"=",
"elem",
"[",
"'data'",
"]",
"elem_size",
"=",
"size",
"elem_addr",
"=",
"addr",
"if",
"progress",
":",
"progress",
"(",
"elem_addr",
",",
"0",
",",
"elem_size",
")",
"while",
"size",
">",
"0",
":",
"write_size",
"=",
"size",
"if",
"not",
"mass_erase_used",
":",
"for",
"segment",
"in",
"mem_layout",
":",
"if",
"addr",
">=",
"segment",
"[",
"'addr'",
"]",
"and",
"addr",
"<=",
"segment",
"[",
"'last_addr'",
"]",
":",
"# We found the page containing the address we want to",
"# write, erase it",
"page_size",
"=",
"segment",
"[",
"'page_size'",
"]",
"page_addr",
"=",
"addr",
"&",
"~",
"(",
"page_size",
"-",
"1",
")",
"if",
"addr",
"+",
"write_size",
">",
"page_addr",
"+",
"page_size",
":",
"write_size",
"=",
"page_addr",
"+",
"page_size",
"-",
"addr",
"page_erase",
"(",
"page_addr",
")",
"break",
"write_memory",
"(",
"addr",
",",
"data",
"[",
":",
"write_size",
"]",
",",
"progress",
",",
"elem_addr",
",",
"elem_size",
")",
"data",
"=",
"data",
"[",
"write_size",
":",
"]",
"addr",
"+=",
"write_size",
"size",
"-=",
"write_size",
"if",
"progress",
":",
"progress",
"(",
"elem_addr",
",",
"addr",
"-",
"elem_addr",
",",
"elem_size",
")"
] |
Writes the indicated elements into the target memory,
erasing as needed.
|
[
"Writes",
"the",
"indicated",
"elements",
"into",
"the",
"target",
"memory",
"erasing",
"as",
"needed",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L476-L510
|
train
|
micropython/micropython
|
tools/pydfu.py
|
cli_progress
|
def cli_progress(addr, offset, size):
"""Prints a progress report suitable for use on the command line."""
width = 25
done = offset * width // size
print("\r0x{:08x} {:7d} [{}{}] {:3d}% "
.format(addr, size, '=' * done, ' ' * (width - done),
offset * 100 // size), end="")
try:
sys.stdout.flush()
except OSError:
pass # Ignore Windows CLI "WinError 87" on Python 3.6
if offset == size:
print("")
|
python
|
def cli_progress(addr, offset, size):
"""Prints a progress report suitable for use on the command line."""
width = 25
done = offset * width // size
print("\r0x{:08x} {:7d} [{}{}] {:3d}% "
.format(addr, size, '=' * done, ' ' * (width - done),
offset * 100 // size), end="")
try:
sys.stdout.flush()
except OSError:
pass # Ignore Windows CLI "WinError 87" on Python 3.6
if offset == size:
print("")
|
[
"def",
"cli_progress",
"(",
"addr",
",",
"offset",
",",
"size",
")",
":",
"width",
"=",
"25",
"done",
"=",
"offset",
"*",
"width",
"//",
"size",
"print",
"(",
"\"\\r0x{:08x} {:7d} [{}{}] {:3d}% \"",
".",
"format",
"(",
"addr",
",",
"size",
",",
"'='",
"*",
"done",
",",
"' '",
"*",
"(",
"width",
"-",
"done",
")",
",",
"offset",
"*",
"100",
"//",
"size",
")",
",",
"end",
"=",
"\"\"",
")",
"try",
":",
"sys",
".",
"stdout",
".",
"flush",
"(",
")",
"except",
"OSError",
":",
"pass",
"# Ignore Windows CLI \"WinError 87\" on Python 3.6",
"if",
"offset",
"==",
"size",
":",
"print",
"(",
"\"\"",
")"
] |
Prints a progress report suitable for use on the command line.
|
[
"Prints",
"a",
"progress",
"report",
"suitable",
"for",
"use",
"on",
"the",
"command",
"line",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L513-L525
|
train
|
micropython/micropython
|
tools/pydfu.py
|
main
|
def main():
"""Test program for verifying this files functionality."""
global __verbose
# Parse CMD args
parser = argparse.ArgumentParser(description='DFU Python Util')
#parser.add_argument("path", help="file path")
parser.add_argument(
"-l", "--list",
help="list available DFU devices",
action="store_true",
default=False
)
parser.add_argument(
"-m", "--mass-erase",
help="mass erase device",
action="store_true",
default=False
)
parser.add_argument(
"-u", "--upload",
help="read file from DFU device",
dest="path",
default=False
)
parser.add_argument(
"-v", "--verbose",
help="increase output verbosity",
action="store_true",
default=False
)
args = parser.parse_args()
__verbose = args.verbose
if args.list:
list_dfu_devices(idVendor=__VID, idProduct=__PID)
return
init()
if args.mass_erase:
print ("Mass erase...")
mass_erase()
if args.path:
elements = read_dfu_file(args.path)
if not elements:
return
print("Writing memory...")
write_elements(elements, args.mass_erase, progress=cli_progress)
print("Exiting DFU...")
exit_dfu()
return
print("No command specified")
|
python
|
def main():
"""Test program for verifying this files functionality."""
global __verbose
# Parse CMD args
parser = argparse.ArgumentParser(description='DFU Python Util')
#parser.add_argument("path", help="file path")
parser.add_argument(
"-l", "--list",
help="list available DFU devices",
action="store_true",
default=False
)
parser.add_argument(
"-m", "--mass-erase",
help="mass erase device",
action="store_true",
default=False
)
parser.add_argument(
"-u", "--upload",
help="read file from DFU device",
dest="path",
default=False
)
parser.add_argument(
"-v", "--verbose",
help="increase output verbosity",
action="store_true",
default=False
)
args = parser.parse_args()
__verbose = args.verbose
if args.list:
list_dfu_devices(idVendor=__VID, idProduct=__PID)
return
init()
if args.mass_erase:
print ("Mass erase...")
mass_erase()
if args.path:
elements = read_dfu_file(args.path)
if not elements:
return
print("Writing memory...")
write_elements(elements, args.mass_erase, progress=cli_progress)
print("Exiting DFU...")
exit_dfu()
return
print("No command specified")
|
[
"def",
"main",
"(",
")",
":",
"global",
"__verbose",
"# Parse CMD args",
"parser",
"=",
"argparse",
".",
"ArgumentParser",
"(",
"description",
"=",
"'DFU Python Util'",
")",
"#parser.add_argument(\"path\", help=\"file path\")",
"parser",
".",
"add_argument",
"(",
"\"-l\"",
",",
"\"--list\"",
",",
"help",
"=",
"\"list available DFU devices\"",
",",
"action",
"=",
"\"store_true\"",
",",
"default",
"=",
"False",
")",
"parser",
".",
"add_argument",
"(",
"\"-m\"",
",",
"\"--mass-erase\"",
",",
"help",
"=",
"\"mass erase device\"",
",",
"action",
"=",
"\"store_true\"",
",",
"default",
"=",
"False",
")",
"parser",
".",
"add_argument",
"(",
"\"-u\"",
",",
"\"--upload\"",
",",
"help",
"=",
"\"read file from DFU device\"",
",",
"dest",
"=",
"\"path\"",
",",
"default",
"=",
"False",
")",
"parser",
".",
"add_argument",
"(",
"\"-v\"",
",",
"\"--verbose\"",
",",
"help",
"=",
"\"increase output verbosity\"",
",",
"action",
"=",
"\"store_true\"",
",",
"default",
"=",
"False",
")",
"args",
"=",
"parser",
".",
"parse_args",
"(",
")",
"__verbose",
"=",
"args",
".",
"verbose",
"if",
"args",
".",
"list",
":",
"list_dfu_devices",
"(",
"idVendor",
"=",
"__VID",
",",
"idProduct",
"=",
"__PID",
")",
"return",
"init",
"(",
")",
"if",
"args",
".",
"mass_erase",
":",
"print",
"(",
"\"Mass erase...\"",
")",
"mass_erase",
"(",
")",
"if",
"args",
".",
"path",
":",
"elements",
"=",
"read_dfu_file",
"(",
"args",
".",
"path",
")",
"if",
"not",
"elements",
":",
"return",
"print",
"(",
"\"Writing memory...\"",
")",
"write_elements",
"(",
"elements",
",",
"args",
".",
"mass_erase",
",",
"progress",
"=",
"cli_progress",
")",
"print",
"(",
"\"Exiting DFU...\"",
")",
"exit_dfu",
"(",
")",
"return",
"print",
"(",
"\"No command specified\"",
")"
] |
Test program for verifying this files functionality.
|
[
"Test",
"program",
"for",
"verifying",
"this",
"files",
"functionality",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/tools/pydfu.py#L528-L583
|
train
|
micropython/micropython
|
ports/stm32/boards/make-pins.py
|
parse_port_pin
|
def parse_port_pin(name_str):
"""Parses a string and returns a (port-num, pin-num) tuple."""
if len(name_str) < 3:
raise ValueError("Expecting pin name to be at least 3 charcters.")
if name_str[0] != 'P':
raise ValueError("Expecting pin name to start with P")
if name_str[1] < 'A' or name_str[1] > 'K':
raise ValueError("Expecting pin port to be between A and K")
port = ord(name_str[1]) - ord('A')
pin_str = name_str[2:]
if not pin_str.isdigit():
raise ValueError("Expecting numeric pin number.")
return (port, int(pin_str))
|
python
|
def parse_port_pin(name_str):
"""Parses a string and returns a (port-num, pin-num) tuple."""
if len(name_str) < 3:
raise ValueError("Expecting pin name to be at least 3 charcters.")
if name_str[0] != 'P':
raise ValueError("Expecting pin name to start with P")
if name_str[1] < 'A' or name_str[1] > 'K':
raise ValueError("Expecting pin port to be between A and K")
port = ord(name_str[1]) - ord('A')
pin_str = name_str[2:]
if not pin_str.isdigit():
raise ValueError("Expecting numeric pin number.")
return (port, int(pin_str))
|
[
"def",
"parse_port_pin",
"(",
"name_str",
")",
":",
"if",
"len",
"(",
"name_str",
")",
"<",
"3",
":",
"raise",
"ValueError",
"(",
"\"Expecting pin name to be at least 3 charcters.\"",
")",
"if",
"name_str",
"[",
"0",
"]",
"!=",
"'P'",
":",
"raise",
"ValueError",
"(",
"\"Expecting pin name to start with P\"",
")",
"if",
"name_str",
"[",
"1",
"]",
"<",
"'A'",
"or",
"name_str",
"[",
"1",
"]",
">",
"'K'",
":",
"raise",
"ValueError",
"(",
"\"Expecting pin port to be between A and K\"",
")",
"port",
"=",
"ord",
"(",
"name_str",
"[",
"1",
"]",
")",
"-",
"ord",
"(",
"'A'",
")",
"pin_str",
"=",
"name_str",
"[",
"2",
":",
"]",
"if",
"not",
"pin_str",
".",
"isdigit",
"(",
")",
":",
"raise",
"ValueError",
"(",
"\"Expecting numeric pin number.\"",
")",
"return",
"(",
"port",
",",
"int",
"(",
"pin_str",
")",
")"
] |
Parses a string and returns a (port-num, pin-num) tuple.
|
[
"Parses",
"a",
"string",
"and",
"returns",
"a",
"(",
"port",
"-",
"num",
"pin",
"-",
"num",
")",
"tuple",
"."
] |
8031b7a25c21fb864fe9dd1fa40740030be66c11
|
https://github.com/micropython/micropython/blob/8031b7a25c21fb864fe9dd1fa40740030be66c11/ports/stm32/boards/make-pins.py#L33-L45
|
train
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.