get_lifecycle_execution `async` ¶

get_lifecycle_execution(
    lifecycle_execution_id: LifecycleExecutionId,
    *,
    config_overrides: Optional[AsyncimagebuilderClientConfig] = None,
) -> GetLifecycleExecutionResponse

Retrieves runtime information for a lifecycle execution – a single run of lifecycle actions that a lifecycle policy or a StartResourceStateUpdate request started.

Parameters:

lifecycle_execution_id (LifecycleExecutionId) –

The unique identifier for a runtime instance of the lifecycle policy.

Raises:

CallRateLimitExceededException –

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.
ClientException –

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.
ForbiddenException –

You are not authorized to perform the requested operation.
InvalidRequestException –

The request is malformed or otherwise invalid. Verify the request and try again.
ServiceException –

An internal server error occurred while Image Builder processed the request. Retrying the request may succeed.
ServiceUnavailableException –

The service is unable to process your request at this time.
UnknownServiceError –

The service returned an error code this client does not model.

Examples:

Get the details of a lifecycle execution The following example retrieves the runtime status of the specified lifecycle execution. If the execution was started by StartResourceStateUpdate rather than a lifecycle policy run, the response doesn't include the lifecyclePolicyArn field.

>>> await client.get_lifecycle_execution(lifecycle_execution_id='lce-401aefc3-a829-46f6-8fc2-91497988a503')

Source code in docs_src/capo_imagebuilder/_services/async_imagebuilder.py

async def get_lifecycle_execution(
    self,
    lifecycle_execution_id: "capo_imagebuilder.types.lifecycle_execution_id.LifecycleExecutionId",
    *,
    config_overrides: Optional[AsyncimagebuilderClientConfig] = None,
) -> "capo_imagebuilder.types.get_lifecycle_execution_response.GetLifecycleExecutionResponse":
    """<p>Retrieves runtime information for a lifecycle execution – a single run of lifecycle actions that a lifecycle policy or a <a>StartResourceStateUpdate</a> request started.</p>

    Args:
        lifecycle_execution_id: <p>The unique identifier for a runtime instance of the lifecycle policy.</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_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:
        Get the details of a lifecycle execution
        The following example retrieves the runtime status of the specified lifecycle execution. If the execution was started by StartResourceStateUpdate rather than a lifecycle policy run, the response doesn't include the lifecyclePolicyArn field.

        >>> await client.get_lifecycle_execution(lifecycle_execution_id='lce-401aefc3-a829-46f6-8fc2-91497988a503')
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_imagebuilder.types.get_lifecycle_execution_request.GetLifecycleExecutionRequest]",
    ) -> AsyncOperationResponse[
        "capo_imagebuilder.types.get_lifecycle_execution_response.GetLifecycleExecutionResponse"
    ]:
        import capo_imagebuilder._operations.imagebuilder.get_lifecycle_execution

        (
            output,
            http_response,
        ) = await capo_imagebuilder._operations.imagebuilder.get_lifecycle_execution.async_get_lifecycle_execution(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetLifecycleExecution")
    )
    input_: capo_imagebuilder.types.get_lifecycle_execution_request.GetLifecycleExecutionRequest = {
        "lifecycle_execution_id": lifecycle_execution_id
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output

get_lifecycle_execution async ¶

get_lifecycle_execution `async` ¶