get_batch_prediction async ¶

async def get_batch_prediction(
    self,
    batch_prediction_id: "capo_machine_learning.types.entity_id.EntityId",
    *,
    config_overrides: Optional[AsyncMachineLearningClientConfig] = None,
) -> "capo_machine_learning.types.get_batch_prediction_output.GetBatchPredictionOutput":
    """<p>Returns a <code>BatchPrediction</code> that includes detailed metadata, status, and data file information for a <code>Batch Prediction</code> request.</p>

    Args:
        batch_prediction_id: <p>An ID assigned to the <code>BatchPrediction</code> at creation.</p>

    Raises:
        capo_machine_learning.errors.internal_server_exception.InternalServerException: <p>An error on the server occurred when trying to process a request.</p>
        capo_machine_learning.errors.invalid_input_exception.InvalidInputException: <p>An error on the client occurred. Typically, the cause is an invalid input value.</p>
        capo_machine_learning.errors.resource_not_found_exception.ResourceNotFoundException: <p>A specified resource cannot be located.</p>
        capo_machine_learning.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_machine_learning.types.get_batch_prediction_input.GetBatchPredictionInput]",
    ) -> AsyncOperationResponse[
        "capo_machine_learning.types.get_batch_prediction_output.GetBatchPredictionOutput"
    ]:
        import capo_machine_learning._operations.amazon_ml_20141212.get_batch_prediction

        (
            output,
            http_response,
        ) = await capo_machine_learning._operations.amazon_ml_20141212.get_batch_prediction.async_get_batch_prediction(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetBatchPrediction")
    )
    input_: capo_machine_learning.types.get_batch_prediction_input.GetBatchPredictionInput = {
        "batch_prediction_id": batch_prediction_id
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output