list_metric_attribution_metrics `async` ¶

list_metric_attribution_metrics(
    *,
    config_overrides: Optional[AsyncPersonalizeClientConfig] = None,
    metric_attribution_arn: Optional[Arn] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
) -> ListMetricAttributionMetricsResponse

Lists the metrics for the metric attribution.

Parameters:

metric_attribution_arn (Optional[Arn], default: None ) –

The Amazon Resource Name (ARN) of the metric attribution to retrieve attributes for.
next_token (Optional[NextToken], default: None ) –

Specify the pagination token from a previous request to retrieve the next page of results.
max_results (Optional[MaxResults], default: None ) –

The maximum number of metrics to return in one page of results.

Raises:

InvalidInputException –

Provide a valid value for the field or parameter.
InvalidNextTokenException –

The token is not valid.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_personalize/_services/async_personalize.py

async def list_metric_attribution_metrics(
    self,
    *,
    config_overrides: Optional[AsyncPersonalizeClientConfig] = None,
    metric_attribution_arn: Optional["capo_personalize.types.arn.Arn"] = None,
    next_token: Optional["capo_personalize.types.next_token.NextToken"] = None,
    max_results: Optional["capo_personalize.types.max_results.MaxResults"] = None,
) -> "capo_personalize.types.list_metric_attribution_metrics_response.ListMetricAttributionMetricsResponse":
    """<p>Lists the metrics for the metric attribution.</p>

    Args:
        metric_attribution_arn: <p>The Amazon Resource Name (ARN) of the metric attribution to retrieve attributes for.</p>
        next_token: <p>Specify the pagination token from a previous request to retrieve the next page of results.</p>
        max_results: <p>The maximum number of metrics to return in one page of results.</p>

    Raises:
        capo_personalize.errors.invalid_input_exception.InvalidInputException: <p>Provide a valid value for the field or parameter.</p>
        capo_personalize.errors.invalid_next_token_exception.InvalidNextTokenException: <p>The token is not valid.</p>
        capo_personalize.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_personalize.types.list_metric_attribution_metrics_request.ListMetricAttributionMetricsRequest]",
    ) -> AsyncOperationResponse[
        "capo_personalize.types.list_metric_attribution_metrics_response.ListMetricAttributionMetricsResponse"
    ]:
        import capo_personalize._operations.amazon_personalize.list_metric_attribution_metrics

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListMetricAttributionMetrics")
    )
    input_: capo_personalize.types.list_metric_attribution_metrics_request.ListMetricAttributionMetricsRequest = {}
    if metric_attribution_arn is not None:
        input_["metric_attribution_arn"] = metric_attribution_arn
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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

list_metric_attribution_metrics async ¶

list_metric_attribution_metrics `async` ¶