get_jobs ¶

def get_jobs(
    self,
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    next_token: Optional["capo_glue.types.generic_string.GenericString"] = None,
    max_results: Optional["capo_glue.types.page_size.PageSize"] = None,
) -> "capo_glue.types.get_jobs_response.GetJobsResponse":
    """<p>Retrieves all current job definitions.</p>

    Args:
        next_token: <p>A continuation token, if this is a continuation call.</p>
        max_results: <p>The maximum size of the response.</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_jobs_request.GetJobsRequest]",
    ) -> OperationResponse["capo_glue.types.get_jobs_response.GetJobsResponse"]:
        import capo_glue._operations.aws_glue.get_jobs

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

    def _redact_output(
        output: "capo_glue.types.get_jobs_response.GetJobsResponse",
    ) -> dict[str, Any]:
        import capo_glue.types.get_jobs_response

        return capo_glue.types.get_jobs_response.redact_sensitive(output)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetJobs", redact_output=_redact_output)
    )
    input_: capo_glue.types.get_jobs_request.GetJobsRequest = {}
    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