iter_list_insights_metric_data ¶

def iter_list_insights_metric_data(
    self,
    event_source: "capo_cloudtrail.types.event_source.EventSource",
    event_name: "capo_cloudtrail.types.event_name.EventName",
    insight_type: "capo_cloudtrail.types.insight_type.InsightType",
    *,
    config_overrides: Optional[CloudTrailClientConfig] = None,
    trail_name: Optional["capo_cloudtrail.types.string.String"] = None,
    error_code: Optional["capo_cloudtrail.types.error_code.ErrorCode"] = None,
    start_time: Optional["capo_cloudtrail.types.date.Date"] = None,
    end_time: Optional["capo_cloudtrail.types.date.Date"] = None,
    period: Optional[
        "capo_cloudtrail.types.insights_metric_period.InsightsMetricPeriod"
    ] = None,
    data_type: Optional[
        "capo_cloudtrail.types.insights_metric_data_type.InsightsMetricDataType"
    ] = None,
    max_results: Optional[
        "capo_cloudtrail.types.insights_metric_max_results.InsightsMetricMaxResults"
    ] = None,
    next_token: Optional[
        "capo_cloudtrail.types.insights_metric_next_token.InsightsMetricNextToken"
    ] = None,
) -> "Iterator[capo_cloudtrail.types.list_insights_metric_data_response.ListInsightsMetricDataResponse]":
    _token = next_token
    while True:
        _response = self.list_insights_metric_data(
            event_source,
            event_name,
            insight_type,
            config_overrides=config_overrides,
            trail_name=trail_name,
            error_code=error_code,
            start_time=start_time,
            end_time=end_time,
            period=period,
            data_type=data_type,
            max_results=max_results,
            next_token=_token,
        )
        yield _response
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break