delete_dataset ¶

delete_dataset(
    dataset_arn: Arn, *, config_overrides: Optional[PersonalizeClientConfig] = None
) -> None

Deletes a dataset. You can't delete a dataset if an associated DatasetImportJob or SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information about deleting datasets, see Deleting a dataset.

Parameters:

dataset_arn (Arn) –

The Amazon Resource Name (ARN) of the dataset to delete.

Raises:

InvalidInputException –

Provide a valid value for the field or parameter.
ResourceInUseException –

The specified resource is in use.
ResourceNotFoundException –

Could not find the specified resource.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_personalize/_services/personalize.py

def delete_dataset(
    self,
    dataset_arn: "capo_personalize.types.arn.Arn",
    *,
    config_overrides: Optional[PersonalizeClientConfig] = None,
) -> None:
    """<p>Deletes a dataset. You can't delete a dataset if an associated <code>DatasetImportJob</code> or <code>SolutionVersion</code> is in the CREATE PENDING or IN PROGRESS state. For more information about deleting datasets, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/delete-dataset.html">Deleting a dataset</a>. </p>

    Args:
        dataset_arn: <p>The Amazon Resource Name (ARN) of the dataset 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_request.DeleteDatasetRequest]",
    ) -> OperationResponse[None]:
        import capo_personalize._operations.amazon_personalize.delete_dataset

        output, http_response = (
            capo_personalize._operations.amazon_personalize.delete_dataset.delete_dataset(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteDataset")
    )
    input_: capo_personalize.types.delete_dataset_request.DeleteDatasetRequest = {
        "dataset_arn": dataset_arn
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output