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/async_m2.py
| async def get_batch_job_execution(
self,
application_id: "capo_m2.types.identifier.Identifier",
execution_id: "capo_m2.types.identifier.Identifier",
*,
config_overrides: Optional[Asyncm2ClientConfig] = 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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_m2.types.get_batch_job_execution_request.GetBatchJobExecutionRequest]",
) -> AsyncOperationResponse[
"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,
) = await capo_m2._operations.aws_supernova_control_plane_service.get_batch_job_execution.async_get_batch_job_execution(
req.options, req.input
)
return AsyncOperationResponse(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 = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|