Describes an Amazon SageMaker Model Card export job.
Parameters:
-
model_card_export_job_arn
(Optional[ModelCardExportJobArn], default:
None
)
–
The Amazon Resource Name (ARN) of the model card export job to describe.
Raises:
Source code in docs_src/capo_sagemaker/_services/async_sage_maker.py
| async def describe_model_card_export_job(
self,
*,
config_overrides: Optional[AsyncSageMakerClientConfig] = None,
model_card_export_job_arn: Optional[
"capo_sagemaker.types.model_card_export_job_arn.ModelCardExportJobArn"
] = None,
) -> "capo_sagemaker.types.describe_model_card_export_job_response.DescribeModelCardExportJobResponse":
"""<p>Describes an Amazon SageMaker Model Card export job.</p>
Args:
model_card_export_job_arn: <p>The Amazon Resource Name (ARN) of the model card export job to describe.</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_model_card_export_job_request.DescribeModelCardExportJobRequest]",
) -> AsyncOperationResponse[
"capo_sagemaker.types.describe_model_card_export_job_response.DescribeModelCardExportJobResponse"
]:
import capo_sagemaker._operations.sage_maker.describe_model_card_export_job
(
output,
http_response,
) = await capo_sagemaker._operations.sage_maker.describe_model_card_export_job.async_describe_model_card_export_job(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DescribeModelCardExportJob")
)
input_: capo_sagemaker.types.describe_model_card_export_job_request.DescribeModelCardExportJobRequest = {}
if model_card_export_job_arn is not None:
input_["model_card_export_job_arn"] = model_card_export_job_arn
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|