CfnImage
- class aws_cdk.aws_imagebuilder.CfnImage(scope, id, *, infrastructure_configuration_arn, container_recipe_arn=None, distribution_configuration_arn=None, enhanced_image_metadata_enabled=None, execution_role=None, image_recipe_arn=None, image_scanning_configuration=None, image_tests_configuration=None, tags=None, workflows=None)
Bases:
CfnResource
Creates a new image.
This request will create a new image along with all of the configured output resources defined in the distribution configuration. You must specify exactly one recipe for your image, using either a ContainerRecipeArn or an ImageRecipeArn.
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-imagebuilder-image.html
- CloudformationResource:
AWS::ImageBuilder::Image
- 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_imagebuilder as imagebuilder cfn_image = imagebuilder.CfnImage(self, "MyCfnImage", infrastructure_configuration_arn="infrastructureConfigurationArn", # the properties below are optional container_recipe_arn="containerRecipeArn", distribution_configuration_arn="distributionConfigurationArn", enhanced_image_metadata_enabled=False, execution_role="executionRole", image_recipe_arn="imageRecipeArn", image_scanning_configuration=imagebuilder.CfnImage.ImageScanningConfigurationProperty( ecr_configuration=imagebuilder.CfnImage.EcrConfigurationProperty( container_tags=["containerTags"], repository_name="repositoryName" ), image_scanning_enabled=False ), image_tests_configuration=imagebuilder.CfnImage.ImageTestsConfigurationProperty( image_tests_enabled=False, timeout_minutes=123 ), tags={ "tags_key": "tags" }, workflows=[imagebuilder.CfnImage.WorkflowConfigurationProperty( on_failure="onFailure", parallel_group="parallelGroup", parameters=[imagebuilder.CfnImage.WorkflowParameterProperty( name="name", value=["value"] )], workflow_arn="workflowArn" )] )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).infrastructure_configuration_arn (
str
) – The Amazon Resource Name (ARN) of the infrastructure configuration that defines the environment in which your image will be built and tested.container_recipe_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the container recipe that defines how images are configured and tested.distribution_configuration_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the distribution configuration that defines and configures the outputs of your pipeline.enhanced_image_metadata_enabled (
Union
[bool
,IResolvable
,None
]) – Collects additional information about the image being created, including the operating system (OS) version and package list. This information is used to enhance the overall experience of using EC2 Image Builder. Enabled by default.execution_role (
Optional
[str
]) – The name or Amazon Resource Name (ARN) for the IAM role you create that grants Image Builder access to perform workflow actions.image_recipe_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the image recipe that defines how images are configured, tested, and assessed.image_scanning_configuration (
Union
[IResolvable
,ImageScanningConfigurationProperty
,Dict
[str
,Any
],None
]) – Contains settings for vulnerability scans.image_tests_configuration (
Union
[IResolvable
,ImageTestsConfigurationProperty
,Dict
[str
,Any
],None
]) – The image tests configuration of the image.tags (
Optional
[Mapping
[str
,str
]]) – The tags of the image.workflows (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,WorkflowConfigurationProperty
,Dict
[str
,Any
]]],None
]) – Contains an array of workflow configuration objects.
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
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
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
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
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::ImageBuilder::Image'
- attr_arn
Returns the Amazon Resource Name (ARN) of the image.
For example,
arn:aws:imagebuilder:us-west-2:123456789012:image/mybasicrecipe/2019.12.03/1
.- CloudformationAttribute:
Arn
- attr_image_id
Returns the AMI ID of the Amazon EC2 AMI in the Region in which you are using Image Builder.
Values are returned only for AMIs, and not for container images.
- CloudformationAttribute:
ImageId
- attr_image_uri
Returns the URI for a container image created in the context Region.
Values are returned only for container images, and not for AMIs.
- CloudformationAttribute:
ImageUri
- attr_name
Returns the name of the image.
- CloudformationAttribute:
Name
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- container_recipe_arn
The Amazon Resource Name (ARN) of the container recipe that defines how images are configured and tested.
- 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.
- distribution_configuration_arn
The Amazon Resource Name (ARN) of the distribution configuration that defines and configures the outputs of your pipeline.
- enhanced_image_metadata_enabled
Collects additional information about the image being created, including the operating system (OS) version and package list.
- execution_role
The name or Amazon Resource Name (ARN) for the IAM role you create that grants Image Builder access to perform workflow actions.
- image_recipe_arn
The Amazon Resource Name (ARN) of the image recipe that defines how images are configured, tested, and assessed.
- image_scanning_configuration
Contains settings for vulnerability scans.
- image_tests_configuration
The image tests configuration of the image.
- infrastructure_configuration_arn
The Amazon Resource Name (ARN) of the infrastructure configuration that defines the environment in which your image will be built and tested.
- 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.
- 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).
- tags
Tag Manager which manages the tags for this resource.
- tags_raw
The tags of the image.
- workflows
Contains an array of workflow configuration objects.
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
.
EcrConfigurationProperty
- class CfnImage.EcrConfigurationProperty(*, container_tags=None, repository_name=None)
Bases:
object
Settings that Image Builder uses to configure the ECR repository and the output container images that Amazon Inspector scans.
- Parameters:
container_tags (
Optional
[Sequence
[str
]]) – Tags for Image Builder to apply to the output container image that Amazon Inspector scans. Tags can help you identify and manage your scanned images.repository_name (
Optional
[str
]) – The name of the container repository that Amazon Inspector scans to identify findings for your container images. The name includes the path for the repository location. If you don’t provide this information, Image Builder creates a repository in your account namedimage-builder-image-scanning-repository
for vulnerability scans of your output container images.
- 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_imagebuilder as imagebuilder ecr_configuration_property = imagebuilder.CfnImage.EcrConfigurationProperty( container_tags=["containerTags"], repository_name="repositoryName" )
Attributes
- container_tags
Tags for Image Builder to apply to the output container image that Amazon Inspector scans.
Tags can help you identify and manage your scanned images.
- repository_name
The name of the container repository that Amazon Inspector scans to identify findings for your container images.
The name includes the path for the repository location. If you don’t provide this information, Image Builder creates a repository in your account named
image-builder-image-scanning-repository
for vulnerability scans of your output container images.
ImageScanningConfigurationProperty
- class CfnImage.ImageScanningConfigurationProperty(*, ecr_configuration=None, image_scanning_enabled=None)
Bases:
object
Contains settings for Image Builder image resource and container image scans.
- Parameters:
ecr_configuration (
Union
[IResolvable
,EcrConfigurationProperty
,Dict
[str
,Any
],None
]) – Contains Amazon ECR settings for vulnerability scans.image_scanning_enabled (
Union
[bool
,IResolvable
,None
]) – A setting that indicates whether Image Builder keeps a snapshot of the vulnerability scans that Amazon Inspector runs against the build instance when you create a new image.
- 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_imagebuilder as imagebuilder image_scanning_configuration_property = imagebuilder.CfnImage.ImageScanningConfigurationProperty( ecr_configuration=imagebuilder.CfnImage.EcrConfigurationProperty( container_tags=["containerTags"], repository_name="repositoryName" ), image_scanning_enabled=False )
Attributes
- ecr_configuration
Contains Amazon ECR settings for vulnerability scans.
- image_scanning_enabled
A setting that indicates whether Image Builder keeps a snapshot of the vulnerability scans that Amazon Inspector runs against the build instance when you create a new image.
ImageTestsConfigurationProperty
- class CfnImage.ImageTestsConfigurationProperty(*, image_tests_enabled=None, timeout_minutes=None)
Bases:
object
When you create an image or container recipe with Image Builder , you can add the build or test components that are used to create the final image.
You must have at least one build component to create a recipe, but test components are not required. If you have added tests, they run after the image is created, to ensure that the target image is functional and can be used reliably for launching Amazon EC2 instances.
- Parameters:
image_tests_enabled (
Union
[bool
,IResolvable
,None
]) – Determines if tests should run after building the image. Image Builder defaults to enable tests to run following the image build, before image distribution.timeout_minutes (
Union
[int
,float
,None
]) – The maximum time in minutes that tests are permitted to run. .. epigraph:: The timeoutMinutes attribute is not currently active. This value is ignored.
- 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_imagebuilder as imagebuilder image_tests_configuration_property = imagebuilder.CfnImage.ImageTestsConfigurationProperty( image_tests_enabled=False, timeout_minutes=123 )
Attributes
- image_tests_enabled
Determines if tests should run after building the image.
Image Builder defaults to enable tests to run following the image build, before image distribution.
- timeout_minutes
The maximum time in minutes that tests are permitted to run.
The timeoutMinutes attribute is not currently active. This value is ignored.
WorkflowConfigurationProperty
- class CfnImage.WorkflowConfigurationProperty(*, on_failure=None, parallel_group=None, parameters=None, workflow_arn=None)
Bases:
object
Contains control settings and configurable inputs for a workflow resource.
- Parameters:
on_failure (
Optional
[str
]) – The action to take if the workflow fails.parallel_group (
Optional
[str
]) – Test workflows are defined within named runtime groups called parallel groups. The parallel group is the named group that contains this test workflow. Test workflows within a parallel group can run at the same time. Image Builder starts up to five test workflows in the group at the same time, and starts additional workflows as others complete, until all workflows in the group have completed. This field only applies for test workflows.parameters (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,WorkflowParameterProperty
,Dict
[str
,Any
]]],None
]) – Contains parameter values for each of the parameters that the workflow document defined for the workflow resource.workflow_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the workflow resource.
- 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_imagebuilder as imagebuilder workflow_configuration_property = imagebuilder.CfnImage.WorkflowConfigurationProperty( on_failure="onFailure", parallel_group="parallelGroup", parameters=[imagebuilder.CfnImage.WorkflowParameterProperty( name="name", value=["value"] )], workflow_arn="workflowArn" )
Attributes
- on_failure
The action to take if the workflow fails.
- parallel_group
Test workflows are defined within named runtime groups called parallel groups.
The parallel group is the named group that contains this test workflow. Test workflows within a parallel group can run at the same time. Image Builder starts up to five test workflows in the group at the same time, and starts additional workflows as others complete, until all workflows in the group have completed. This field only applies for test workflows.
- parameters
Contains parameter values for each of the parameters that the workflow document defined for the workflow resource.
- workflow_arn
The Amazon Resource Name (ARN) of the workflow resource.
WorkflowParameterProperty
- class CfnImage.WorkflowParameterProperty(*, name=None, value=None)
Bases:
object
Contains a key/value pair that sets the named workflow parameter.
- Parameters:
name (
Optional
[str
]) – The name of the workflow parameter to set.value (
Optional
[Sequence
[str
]]) – Sets the value for the named workflow parameter.
- 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_imagebuilder as imagebuilder workflow_parameter_property = imagebuilder.CfnImage.WorkflowParameterProperty( name="name", value=["value"] )
Attributes
- name
The name of the workflow parameter to set.
- value
Sets the value for the named workflow parameter.