describe_metric_attribution async ¶

async def describe_metric_attribution(
    self,
    metric_attribution_arn: "capo_personalize.types.arn.Arn",
    *,
    config_overrides: Optional[AsyncPersonalizeClientConfig] = None,
) -> "capo_personalize.types.describe_metric_attribution_response.DescribeMetricAttributionResponse":
    """<p>Describes a metric attribution.</p>

    Args:
        metric_attribution_arn: <p>The metric attribution's Amazon Resource Name (ARN).</p>

    Raises:
        capo_personalize.errors.invalid_input_exception.InvalidInputException: <p>Provide a valid value for the field or parameter.</p>
        capo_personalize.errors.resource_not_found_exception.ResourceNotFoundException: <p>Could not find the specified resource.</p>
        capo_personalize.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_personalize.types.describe_metric_attribution_request.DescribeMetricAttributionRequest]",
    ) -> AsyncOperationResponse[
        "capo_personalize.types.describe_metric_attribution_response.DescribeMetricAttributionResponse"
    ]:
        import capo_personalize._operations.amazon_personalize.describe_metric_attribution

        (
            output,
            http_response,
        ) = await capo_personalize._operations.amazon_personalize.describe_metric_attribution.async_describe_metric_attribution(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeMetricAttribution")
    )
    input_: capo_personalize.types.describe_metric_attribution_request.DescribeMetricAttributionRequest = {
        "metric_attribution_arn": metric_attribution_arn
    }

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