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list_workflows

list_workflows(
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    next_token: Optional[GenericString] = None,
    max_results: Optional[OrchestrationPageSize25] = None,
) -> ListWorkflowsResponse

Lists names of workflows created in the account.

Parameters:

Raises:

Source code in docs_src/capo_glue/_services/glue.py
def list_workflows(
    self,
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    next_token: Optional["capo_glue.types.generic_string.GenericString"] = None,
    max_results: Optional[
        "capo_glue.types.orchestration_page_size25.OrchestrationPageSize25"
    ] = None,
) -> "capo_glue.types.list_workflows_response.ListWorkflowsResponse":
    """<p>Lists names of workflows created in the account.</p>

    Args:
        next_token: <p>A continuation token, if this is a continuation request.</p>
        max_results: <p>The maximum size of a list 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_workflows_request.ListWorkflowsRequest]",
    ) -> OperationResponse[
        "capo_glue.types.list_workflows_response.ListWorkflowsResponse"
    ]:
        import capo_glue._operations.aws_glue.list_workflows

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListWorkflows")
    )
    input_: capo_glue.types.list_workflows_request.ListWorkflowsRequest = {}
    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