iter_get_metric_data_v2 ¶

iter_get_metric_data_v2(
    resource_arn: ARN,
    start_time: Timestamp,
    end_time: Timestamp,
    filters: FiltersV2List,
    metrics: MetricsV2,
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
    interval: Optional[IntervalDetails] = None,
    groupings: Optional[GroupingsV2] = None,
    next_token: Optional[NextToken2500] = None,
    max_results: Optional[MaxResult100] = None,
) -> Iterator[GetMetricDataV2Response]

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

def iter_get_metric_data_v2(
    self,
    resource_arn: "capo_connect.types.arn.ARN",
    start_time: "capo_connect.types.timestamp.Timestamp",
    end_time: "capo_connect.types.timestamp.Timestamp",
    filters: "capo_connect.types.filters_v2_list.FiltersV2List",
    metrics: "capo_connect.types.metrics_v2.MetricsV2",
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
    interval: Optional[
        "capo_connect.types.interval_details.IntervalDetails"
    ] = None,
    groupings: Optional["capo_connect.types.groupings_v2.GroupingsV2"] = None,
    next_token: Optional["capo_connect.types.next_token2500.NextToken2500"] = None,
    max_results: Optional["capo_connect.types.max_result100.MaxResult100"] = None,
) -> "Iterator[capo_connect.types.get_metric_data_v2_response.GetMetricDataV2Response]":
    _token = next_token
    while True:
        _response = self.get_metric_data_v2(
            resource_arn,
            start_time,
            end_time,
            filters,
            metrics,
            config_overrides=config_overrides,
            interval=interval,
            groupings=groupings,
            next_token=_token,
            max_results=max_results,
        )
        yield _response
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break