Retrieve the training status of the model along with more information (CompletedOn, StartedOn, FailureReason).
Parameters:
Raises:
Source code in docs_src/capo_glue/_services/glue.py
| def get_data_quality_model(
self,
profile_id: "capo_glue.types.hash_string.HashString",
*,
config_overrides: Optional[GlueClientConfig] = None,
statistic_id: Optional["capo_glue.types.hash_string.HashString"] = None,
) -> "capo_glue.types.get_data_quality_model_response.GetDataQualityModelResponse":
"""<p>Retrieve the training status of the model along with more information (CompletedOn, StartedOn, FailureReason).</p>
Args:
statistic_id: <p>The Statistic ID.</p>
profile_id: <p>The Profile ID.</p>
Raises:
capo_glue.errors.entity_not_found_exception.EntityNotFoundException: <p>A specified entity does not exist</p>
capo_glue.errors.internal_service_exception.InternalServiceException: <p>An internal service error occurred.</p>
capo_glue.errors.invalid_input_exception.InvalidInputException: <p>The input provided was not valid.</p>
capo_glue.errors.operation_timeout_exception.OperationTimeoutException: <p>The operation timed out.</p>
capo_glue.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_glue.types.get_data_quality_model_request.GetDataQualityModelRequest]",
) -> OperationResponse[
"capo_glue.types.get_data_quality_model_response.GetDataQualityModelResponse"
]:
import capo_glue._operations.aws_glue.get_data_quality_model
output, http_response = (
capo_glue._operations.aws_glue.get_data_quality_model.get_data_quality_model(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetDataQualityModel")
)
input_: capo_glue.types.get_data_quality_model_request.GetDataQualityModelRequest = {
"profile_id": profile_id
}
if statistic_id is not None:
input_["statistic_id"] = statistic_id
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|