CfnFunction
- class aws_cdk.aws_cloudfront.CfnFunction(scope, id, *, function_code, function_config, name, auto_publish=None, function_metadata=None)
Bases:
CfnResource
Creates a CloudFront function.
To create a function, you provide the function code and some configuration information about the function. The response contains an Amazon Resource Name (ARN) that uniquely identifies the function, and the function’s stage.
By default, when you create a function, it’s in the
DEVELOPMENT
stage. In this stage, you can test the function in the CloudFront console (or withTestFunction
in the CloudFront API).When you’re ready to use your function with a CloudFront distribution, publish the function to the
LIVE
stage. You can do this in the CloudFront console, withPublishFunction
in the CloudFront API, or by updating theAWS::CloudFront::Function
resource with theAutoPublish
property set totrue
. When the function is published to theLIVE
stage, you can attach it to a distribution’s cache behavior, using the function’s ARN.To automatically publish the function to the
LIVE
stage when it’s created, set theAutoPublish
property totrue
.- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cloudfront-function.html
- CloudformationResource:
AWS::CloudFront::Function
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cloudfront as cloudfront cfn_function = cloudfront.CfnFunction(self, "MyCfnFunction", function_code="functionCode", function_config=cloudfront.CfnFunction.FunctionConfigProperty( comment="comment", runtime="runtime", # the properties below are optional key_value_store_associations=[cloudfront.CfnFunction.KeyValueStoreAssociationProperty( key_value_store_arn="keyValueStoreArn" )] ), name="name", # the properties below are optional auto_publish=False, function_metadata=cloudfront.CfnFunction.FunctionMetadataProperty( function_arn="functionArn" ) )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).function_code (
str
) – The function code. For more information about writing a CloudFront function, see Writing function code for CloudFront Functions in the Amazon CloudFront Developer Guide .function_config (
Union
[IResolvable
,FunctionConfigProperty
,Dict
[str
,Any
]]) – Contains configuration information about a CloudFront function.name (
str
) – A name to identify the function.auto_publish (
Union
[bool
,IResolvable
,None
]) – A flag that determines whether to automatically publish the function to theLIVE
stage when it’s created. To automatically publish to theLIVE
stage, set this property totrue
.function_metadata (
Union
[IResolvable
,FunctionMetadataProperty
,Dict
[str
,Any
],None
]) – Contains metadata about a CloudFront function.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::CloudFront::Function'
- attr_function_arn
.
arn:aws:cloudfront::123456789012:function/ExampleFunction
.To get the function ARN, use the following syntax:
!GetAtt *Function_Logical_ID* .FunctionMetadata.FunctionARN
- CloudformationAttribute:
FunctionARN
- Type:
The ARN of the function. For example
- attr_function_metadata_function_arn
The Amazon Resource Name (ARN) of the function.
The ARN uniquely identifies the function.
- CloudformationAttribute:
FunctionMetadata.FunctionARN
- attr_stage
Stage
- Type:
cloudformationAttribute
- auto_publish
A flag that determines whether to automatically publish the function to the
LIVE
stage when it’s created.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- function_code
The function code.
- function_config
Contains configuration information about a CloudFront function.
- function_metadata
Contains metadata about a CloudFront function.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- name
A name to identify the function.
- node
The tree node.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
FunctionConfigProperty
- class CfnFunction.FunctionConfigProperty(*, comment, runtime, key_value_store_associations=None)
Bases:
object
Contains configuration information about a CloudFront function.
- Parameters:
comment (
str
) – A comment to describe the function.runtime (
str
) – The function’s runtime environment version.key_value_store_associations (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,KeyValueStoreAssociationProperty
,Dict
[str
,Any
]]],None
]) – The configuration for the key value store associations.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cloudfront as cloudfront function_config_property = cloudfront.CfnFunction.FunctionConfigProperty( comment="comment", runtime="runtime", # the properties below are optional key_value_store_associations=[cloudfront.CfnFunction.KeyValueStoreAssociationProperty( key_value_store_arn="keyValueStoreArn" )] )
Attributes
- comment
A comment to describe the function.
- key_value_store_associations
The configuration for the key value store associations.
- runtime
The function’s runtime environment version.
FunctionMetadataProperty
- class CfnFunction.FunctionMetadataProperty(*, function_arn=None)
Bases:
object
Contains metadata about a CloudFront function.
- Parameters:
function_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the function. The ARN uniquely identifies the function.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cloudfront as cloudfront function_metadata_property = cloudfront.CfnFunction.FunctionMetadataProperty( function_arn="functionArn" )
Attributes
- function_arn
The Amazon Resource Name (ARN) of the function.
The ARN uniquely identifies the function.
KeyValueStoreAssociationProperty
- class CfnFunction.KeyValueStoreAssociationProperty(*, key_value_store_arn)
Bases:
object
The key value store association.
- Parameters:
key_value_store_arn (
str
) – The Amazon Resource Name (ARN) of the key value store association.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cloudfront as cloudfront key_value_store_association_property = cloudfront.CfnFunction.KeyValueStoreAssociationProperty( key_value_store_arn="keyValueStoreArn" )
Attributes
- key_value_store_arn
The Amazon Resource Name (ARN) of the key value store association.