def describe_artifact(
self,
*,
config_overrides: Optional[SageMakerClientConfig] = None,
artifact_arn: Optional["capo_sagemaker.types.artifact_arn.ArtifactArn"] = None,
) -> "capo_sagemaker.types.describe_artifact_response.DescribeArtifactResponse":
"""<p>Describes an artifact.</p>
Args:
artifact_arn: <p>The Amazon Resource Name (ARN) of the artifact 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.
"""
def _handler(
req: "OperationRequest[capo_sagemaker.types.describe_artifact_request.DescribeArtifactRequest]",
) -> OperationResponse[
"capo_sagemaker.types.describe_artifact_response.DescribeArtifactResponse"
]:
import capo_sagemaker._operations.sage_maker.describe_artifact
output, http_response = (
capo_sagemaker._operations.sage_maker.describe_artifact.describe_artifact(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DescribeArtifact")
)
input_: capo_sagemaker.types.describe_artifact_request.DescribeArtifactRequest = {}
if artifact_arn is not None:
input_["artifact_arn"] = artifact_arn
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output