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describe_pipeline_execution async

describe_pipeline_execution(
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    pipeline_execution_arn: Optional[PipelineExecutionArn] = None,
) -> DescribePipelineExecutionResponse

Describes the details of a pipeline execution.

Parameters:

Raises:

Source code in docs_src/capo_sagemaker/_services/async_sage_maker.py
async def describe_pipeline_execution(
    self,
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    pipeline_execution_arn: Optional[
        "capo_sagemaker.types.pipeline_execution_arn.PipelineExecutionArn"
    ] = None,
) -> "capo_sagemaker.types.describe_pipeline_execution_response.DescribePipelineExecutionResponse":
    """<p>Describes the details of a pipeline execution.</p>

    Args:
        pipeline_execution_arn: <p>The Amazon Resource Name (ARN) of the pipeline execution.</p>

    Raises:
        capo_sagemaker.errors.resource_not_found.ResourceNotFound: <p>Resource being access is not found.</p>
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_sagemaker.types.describe_pipeline_execution_request.DescribePipelineExecutionRequest]",
    ) -> AsyncOperationResponse[
        "capo_sagemaker.types.describe_pipeline_execution_response.DescribePipelineExecutionResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.describe_pipeline_execution

        (
            output,
            http_response,
        ) = await capo_sagemaker._operations.sage_maker.describe_pipeline_execution.async_describe_pipeline_execution(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribePipelineExecution")
    )
    input_: capo_sagemaker.types.describe_pipeline_execution_request.DescribePipelineExecutionRequest = {}
    if pipeline_execution_arn is not None:
        input_["pipeline_execution_arn"] = pipeline_execution_arn

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