get_job ¶

def get_job(
    self,
    job_arn: "capo_braket.types.job_arn.JobArn",
    *,
    config_overrides: Optional[BraketClientConfig] = None,
    additional_attribute_names: Optional[
        "capo_braket.types.hybrid_job_additional_attribute_names_list.HybridJobAdditionalAttributeNamesList"
    ] = None,
) -> "capo_braket.types.get_job_response.GetJobResponse":
    """<p>Retrieves the specified Amazon Braket hybrid job.</p>

    Args:
        job_arn: <p>The ARN of the hybrid job to retrieve.</p>
        additional_attribute_names: <p>A list of attributes to return additional information for. Only the QueueInfo additional attribute name is currently supported. </p>

    Raises:
        capo_braket.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
        capo_braket.errors.internal_service_exception.InternalServiceException: <p>The request failed because of an unknown error.</p>
        capo_braket.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_braket.errors.throttling_exception.ThrottlingException: <p>The API throttling rate limit is exceeded.</p>
        capo_braket.errors.validation_exception.ValidationException: <p>The input request failed to satisfy constraints expected by Amazon Braket.</p>
        capo_braket.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_braket.types.get_job_request.GetJobRequest]",
    ) -> OperationResponse["capo_braket.types.get_job_response.GetJobResponse"]:
        import capo_braket._operations.braket.get_job

        output, http_response = capo_braket._operations.braket.get_job.get_job(
            req.options, req.input
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetJob")
    )
    input_: capo_braket.types.get_job_request.GetJobRequest = {"job_arn": job_arn}
    if additional_attribute_names is not None:
        input_["additional_attribute_names"] = additional_attribute_names

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