Returns information about a transform job.
Parameters:
-
transform_job_name
(Optional[TransformJobName], default:
None
)
–
The name of the transform job that you want to view details of.
Raises:
Source code in docs_src/capo_sagemaker/_services/async_sage_maker.py
| async def describe_transform_job(
self,
*,
config_overrides: Optional[AsyncSageMakerClientConfig] = None,
transform_job_name: Optional[
"capo_sagemaker.types.transform_job_name.TransformJobName"
] = None,
) -> "capo_sagemaker.types.describe_transform_job_response.DescribeTransformJobResponse":
"""<p>Returns information about a transform job.</p>
Args:
transform_job_name: <p>The name of the transform job that you want to view details of.</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_transform_job_request.DescribeTransformJobRequest]",
) -> AsyncOperationResponse[
"capo_sagemaker.types.describe_transform_job_response.DescribeTransformJobResponse"
]:
import capo_sagemaker._operations.sage_maker.describe_transform_job
(
output,
http_response,
) = await capo_sagemaker._operations.sage_maker.describe_transform_job.async_describe_transform_job(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DescribeTransformJob")
)
input_: capo_sagemaker.types.describe_transform_job_request.DescribeTransformJobRequest = {}
if transform_job_name is not None:
input_["transform_job_name"] = transform_job_name
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|