list_data_quality_results ¶

def list_data_quality_results(
    self,
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    filter: Optional[
        "capo_glue.types.data_quality_result_filter_criteria.DataQualityResultFilterCriteria"
    ] = None,
    next_token: Optional["capo_glue.types.pagination_token.PaginationToken"] = None,
    max_results: Optional["capo_glue.types.page_size.PageSize"] = None,
) -> "capo_glue.types.list_data_quality_results_response.ListDataQualityResultsResponse":
    """<p>Returns all data quality execution results for your account.</p>

    Args:
        filter: <p>The filter criteria.</p>
        next_token: <p>A paginated token to offset the results.</p>
        max_results: <p>The maximum number of results to return.</p>

    Raises:
        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.list_data_quality_results_request.ListDataQualityResultsRequest]",
    ) -> OperationResponse[
        "capo_glue.types.list_data_quality_results_response.ListDataQualityResultsResponse"
    ]:
        import capo_glue._operations.aws_glue.list_data_quality_results

        output, http_response = (
            capo_glue._operations.aws_glue.list_data_quality_results.list_data_quality_results(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListDataQualityResults")
    )
    input_: capo_glue.types.list_data_quality_results_request.ListDataQualityResultsRequest = {}
    if filter is not None:
        input_["filter"] = filter
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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