list_lifecycle_executions ¶

def list_lifecycle_executions(
    self,
    resource_arn: "capo_imagebuilder.types.image_builder_arn.ImageBuilderArn",
    *,
    config_overrides: Optional[imagebuilderClientConfig] = None,
    max_results: Optional[
        "capo_imagebuilder.types.restricted_integer.RestrictedInteger"
    ] = None,
    next_token: Optional[
        "capo_imagebuilder.types.pagination_token.PaginationToken"
    ] = None,
) -> "capo_imagebuilder.types.list_lifecycle_executions_response.ListLifecycleExecutionsResponse":
    """<p>Retrieves the lifecycle runtime history for the specified resource.</p>

    Args:
        max_results: <p>The maximum number of items to return in a single request.</p>
        next_token: <p>A token to specify where to start paginating. Use the <code>nextToken</code> value from a previously truncated response.</p>
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource for which to list lifecycle executions. Specify a lifecycle policy ARN to list its executions, or an image build version ARN to list the executions that <a>StartResourceStateUpdate</a> started for that image. Other ARN types aren't valid for this request.</p>

    Raises:
        capo_imagebuilder.errors.call_rate_limit_exceeded_exception.CallRateLimitExceededException: <p>You have exceeded the permitted request rate for the Amazon EC2 APIs that Image Builder calls on your behalf. Retry with an increasing or variable delay between requests.</p>
        capo_imagebuilder.errors.client_exception.ClientException: <p>A generic client error. This error usually indicates that the request failed a validation check, such as when a downstream service rejects a configured value.</p>
        capo_imagebuilder.errors.forbidden_exception.ForbiddenException: <p>You are not authorized to perform the requested operation.</p>
        capo_imagebuilder.errors.invalid_pagination_token_exception.InvalidPaginationTokenException: <p>You have provided an invalid pagination token in your request.</p>
        capo_imagebuilder.errors.invalid_request_exception.InvalidRequestException: <p>The request is malformed or otherwise invalid. Verify the request and try again.</p>
        capo_imagebuilder.errors.service_exception.ServiceException: <p>An internal server error occurred while Image Builder processed the request. Retrying the request may succeed.</p>
        capo_imagebuilder.errors.service_unavailable_exception.ServiceUnavailableException: <p>The service is unable to process your request at this time.</p>
        capo_imagebuilder.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        List lifecycle executions for an image build version
        The following example lists the lifecycle executions that have run against the specified image build version. The execution shown was started with StartResourceStateUpdate rather than a lifecycle policy, so it has no lifecyclePolicyArn.

        >>> client.list_lifecycle_executions(resource_arn='arn:aws:imagebuilder:us-west-2:111122223333:image/my-example-recipe/1.0.0/1')
    """

    def _handler(
        req: "OperationRequest[capo_imagebuilder.types.list_lifecycle_executions_request.ListLifecycleExecutionsRequest]",
    ) -> OperationResponse[
        "capo_imagebuilder.types.list_lifecycle_executions_response.ListLifecycleExecutionsResponse"
    ]:
        import capo_imagebuilder._operations.imagebuilder.list_lifecycle_executions

        output, http_response = (
            capo_imagebuilder._operations.imagebuilder.list_lifecycle_executions.list_lifecycle_executions(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListLifecycleExecutions")
    )
    input_: capo_imagebuilder.types.list_lifecycle_executions_request.ListLifecycleExecutionsRequest = {
        "resource_arn": resource_arn
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output