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:
Source code in docs_src/capo_personalize/_services/personalize.py
| def list_metric_attribution_metrics(
self,
*,
config_overrides: Optional[PersonalizeClientConfig] = 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.
"""
def _handler(
req: "OperationRequest[capo_personalize.types.list_metric_attribution_metrics_request.ListMetricAttributionMetricsRequest]",
) -> OperationResponse[
"capo_personalize.types.list_metric_attribution_metrics_response.ListMetricAttributionMetricsResponse"
]:
import capo_personalize._operations.amazon_personalize.list_metric_attribution_metrics
output, http_response = (
capo_personalize._operations.amazon_personalize.list_metric_attribution_metrics.list_metric_attribution_metrics(
req.options, req.input
)
)
return OperationResponse(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 = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|