update_metric_attribution ¶

def update_metric_attribution(
    self,
    *,
    config_overrides: Optional[PersonalizeClientConfig] = None,
    add_metrics: Optional[
        "capo_personalize.types.metric_attributes.MetricAttributes"
    ] = None,
    remove_metrics: Optional[
        "capo_personalize.types.metric_attributes_names_list.MetricAttributesNamesList"
    ] = None,
    metrics_output_config: Optional[
        "capo_personalize.types.metric_attribution_output.MetricAttributionOutput"
    ] = None,
    metric_attribution_arn: Optional["capo_personalize.types.arn.Arn"] = None,
) -> "capo_personalize.types.update_metric_attribution_response.UpdateMetricAttributionResponse":
    """<p>Updates a metric attribution.</p>

    Args:
        add_metrics: <p>Add new metric attributes to the metric attribution.</p>
        remove_metrics: <p>Remove metric attributes from the metric attribution.</p>
        metrics_output_config: <p>An output config for the metric attribution.</p>
        metric_attribution_arn: <p>The Amazon Resource Name (ARN) for the metric attribution to update.</p>

    Raises:
        capo_personalize.errors.invalid_input_exception.InvalidInputException: <p>Provide a valid value for the field or parameter.</p>
        capo_personalize.errors.resource_already_exists_exception.ResourceAlreadyExistsException: <p>The specified resource already exists.</p>
        capo_personalize.errors.resource_in_use_exception.ResourceInUseException: <p>The specified resource is in use.</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.
    """

    def _handler(
        req: "OperationRequest[capo_personalize.types.update_metric_attribution_request.UpdateMetricAttributionRequest]",
    ) -> OperationResponse[
        "capo_personalize.types.update_metric_attribution_response.UpdateMetricAttributionResponse"
    ]:
        import capo_personalize._operations.amazon_personalize.update_metric_attribution

        output, http_response = (
            capo_personalize._operations.amazon_personalize.update_metric_attribution.update_metric_attribution(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateMetricAttribution")
    )
    input_: capo_personalize.types.update_metric_attribution_request.UpdateMetricAttributionRequest = {}
    if add_metrics is not None:
        input_["add_metrics"] = add_metrics
    if remove_metrics is not None:
        input_["remove_metrics"] = remove_metrics
    if metrics_output_config is not None:
        input_["metrics_output_config"] = metrics_output_config
    if metric_attribution_arn is not None:
        input_["metric_attribution_arn"] = metric_attribution_arn

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