get_notebook_metadata ¶

def get_notebook_metadata(
    self,
    notebook_id: "capo_athena.types.notebook_id.NotebookId",
    *,
    config_overrides: Optional[AthenaClientConfig] = None,
) -> "capo_athena.types.get_notebook_metadata_output.GetNotebookMetadataOutput":
    """<p>Retrieves notebook metadata for the specified notebook ID.</p>

    Args:
        notebook_id: <p>The ID of the notebook whose metadata is to be retrieved.</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.get_notebook_metadata_input.GetNotebookMetadataInput]",
    ) -> OperationResponse[
        "capo_athena.types.get_notebook_metadata_output.GetNotebookMetadataOutput"
    ]:
        import capo_athena._operations.amazon_athena.get_notebook_metadata

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetNotebookMetadata")
    )
    input_: capo_athena.types.get_notebook_metadata_input.GetNotebookMetadataInput = {
        "notebook_id": notebook_id
    }

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