get_dataflow_graph ¶

def get_dataflow_graph(
    self,
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    python_script: Optional["capo_glue.types.python_script.PythonScript"] = None,
) -> "capo_glue.types.get_dataflow_graph_response.GetDataflowGraphResponse":
    """<p>Transforms a Python script into a directed acyclic graph (DAG). </p>

    Args:
        python_script: <p>The Python script to transform.</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.get_dataflow_graph_request.GetDataflowGraphRequest]",
    ) -> OperationResponse[
        "capo_glue.types.get_dataflow_graph_response.GetDataflowGraphResponse"
    ]:
        import capo_glue._operations.aws_glue.get_dataflow_graph

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetDataflowGraph")
    )
    input_: capo_glue.types.get_dataflow_graph_request.GetDataflowGraphRequest = {}
    if python_script is not None:
        input_["python_script"] = python_script

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