iter_get_metric_data `async` ¶

iter_get_metric_data(
    instance_id: InstanceId,
    start_time: Timestamp,
    end_time: Timestamp,
    filters: Filters,
    historical_metrics: HistoricalMetrics,
    *,
    config_overrides: Optional[AsyncConnectClientConfig] = None,
    groupings: Optional[Groupings] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResult100] = None,
) -> AsyncIterator[GetMetricDataResponse]

Source code in docs_src/capo_connect/_services/async_connect.py

async def iter_get_metric_data(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    start_time: "capo_connect.types.timestamp.Timestamp",
    end_time: "capo_connect.types.timestamp.Timestamp",
    filters: "capo_connect.types.filters.Filters",
    historical_metrics: "capo_connect.types.historical_metrics.HistoricalMetrics",
    *,
    config_overrides: Optional[AsyncConnectClientConfig] = None,
    groupings: Optional["capo_connect.types.groupings.Groupings"] = None,
    next_token: Optional["capo_connect.types.next_token.NextToken"] = None,
    max_results: Optional["capo_connect.types.max_result100.MaxResult100"] = None,
) -> "AsyncIterator[capo_connect.types.get_metric_data_response.GetMetricDataResponse]":
    _token = next_token
    while True:
        _response = await self.get_metric_data(
            instance_id,
            start_time,
            end_time,
            filters,
            historical_metrics,
            config_overrides=config_overrides,
            groupings=groupings,
            next_token=_token,
            max_results=max_results,
        )
        yield _response
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break

iter_get_metric_data async ¶

iter_get_metric_data `async` ¶