delete_dataset_group(
dataset_group_arn: Arn,
*,
config_overrides: Optional[PersonalizeClientConfig] = None,
) -> None
Deletes a dataset group. Before you delete a dataset group, you must delete the following:
-
All associated event trackers.
-
All associated solutions.
-
All datasets in the dataset group.
Parameters:
-
dataset_group_arn
(Arn)
–
The ARN of the dataset group to delete.
Raises:
Source code in docs_src/capo_personalize/_services/personalize.py
| def delete_dataset_group(
self,
dataset_group_arn: "capo_personalize.types.arn.Arn",
*,
config_overrides: Optional[PersonalizeClientConfig] = None,
) -> None:
"""<p>Deletes a dataset group. Before you delete a dataset group, you must delete the following:</p> <ul> <li> <p>All associated event trackers.</p> </li> <li> <p>All associated solutions.</p> </li> <li> <p>All datasets in the dataset group.</p> </li> </ul>
Args:
dataset_group_arn: <p>The ARN of the dataset group to delete.</p>
Raises:
capo_personalize.errors.invalid_input_exception.InvalidInputException: <p>Provide a valid value for the field or parameter.</p>
capo_personalize.errors.resource_in_use_exception.ResourceInUseException: <p>The specified resource is in use.</p>
capo_personalize.errors.resource_not_found_exception.ResourceNotFoundException: <p>Could not find the specified resource.</p>
capo_personalize.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_personalize.types.delete_dataset_group_request.DeleteDatasetGroupRequest]",
) -> OperationResponse[None]:
import capo_personalize._operations.amazon_personalize.delete_dataset_group
output, http_response = (
capo_personalize._operations.amazon_personalize.delete_dataset_group.delete_dataset_group(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteDatasetGroup")
)
input_: capo_personalize.types.delete_dataset_group_request.DeleteDatasetGroupRequest = {
"dataset_group_arn": dataset_group_arn
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|