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get_batch_job_execution

get_batch_job_execution(
    application_id: Identifier,
    execution_id: Identifier,
    *,
    config_overrides: Optional[m2ClientConfig] = None,
) -> GetBatchJobExecutionResponse

Gets the details of a specific batch job execution for a specific application.

Parameters:

  • application_id (Identifier) –

    The identifier of the application.

  • execution_id (Identifier) –

    The unique identifier of the batch job execution.

Raises:

Source code in docs_src/capo_m2/_services/m2.py
def get_batch_job_execution(
    self,
    application_id: "capo_m2.types.identifier.Identifier",
    execution_id: "capo_m2.types.identifier.Identifier",
    *,
    config_overrides: Optional[m2ClientConfig] = None,
) -> "capo_m2.types.get_batch_job_execution_response.GetBatchJobExecutionResponse":
    """<p>Gets the details of a specific batch job execution for a specific application.</p>

    Args:
        application_id: <p>The identifier of the application.</p>
        execution_id: <p>The unique identifier of the batch job execution.</p>

    Raises:
        capo_m2.errors.access_denied_exception.AccessDeniedException: <p>The account or role doesn't have the right permissions to make the request.</p>
        capo_m2.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred during the processing of the request.</p>
        capo_m2.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_m2.errors.throttling_exception.ThrottlingException: <p>The number of requests made exceeds the limit.</p>
        capo_m2.errors.validation_exception.ValidationException: <p>One or more parameters provided in the request is not valid.</p>
        capo_m2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_m2.types.get_batch_job_execution_request.GetBatchJobExecutionRequest]",
    ) -> OperationResponse[
        "capo_m2.types.get_batch_job_execution_response.GetBatchJobExecutionResponse"
    ]:
        import capo_m2._operations.aws_supernova_control_plane_service.get_batch_job_execution

        output, http_response = (
            capo_m2._operations.aws_supernova_control_plane_service.get_batch_job_execution.get_batch_job_execution(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetBatchJobExecution")
    )
    input_: capo_m2.types.get_batch_job_execution_request.GetBatchJobExecutionRequest = {
        "application_id": application_id,
        "execution_id": execution_id,
    }

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