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export_notebook

export_notebook(
    notebook_id: NotebookId, *, config_overrides: Optional[AthenaClientConfig] = None
) -> ExportNotebookOutput

Exports the specified notebook and its metadata.

Parameters:

  • notebook_id (NotebookId) –

    The ID of the notebook to export.

Raises:

Source code in docs_src/capo_athena/_services/athena.py
def export_notebook(
    self,
    notebook_id: "capo_athena.types.notebook_id.NotebookId",
    *,
    config_overrides: Optional[AthenaClientConfig] = None,
) -> "capo_athena.types.export_notebook_output.ExportNotebookOutput":
    """<p>Exports the specified notebook and its metadata.</p>

    Args:
        notebook_id: <p>The ID of the notebook to export.</p>

    Raises:
        capo_athena.errors.internal_server_exception.InternalServerException: <p>Indicates a platform issue, which may be due to a transient condition or outage.</p>
        capo_athena.errors.invalid_request_exception.InvalidRequestException: <p>Indicates that something is wrong with the input to the request. For example, a required parameter may be missing or out of range.</p>
        capo_athena.errors.too_many_requests_exception.TooManyRequestsException: <p>Indicates that the request was throttled.</p>
        capo_athena.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_athena.types.export_notebook_input.ExportNotebookInput]",
    ) -> OperationResponse[
        "capo_athena.types.export_notebook_output.ExportNotebookOutput"
    ]:
        import capo_athena._operations.amazon_athena.export_notebook

        output, http_response = (
            capo_athena._operations.amazon_athena.export_notebook.export_notebook(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ExportNotebook")
    )
    input_: capo_athena.types.export_notebook_input.ExportNotebookInput = {
        "notebook_id": notebook_id
    }

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