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iter_list_efficiency_metrics

iter_list_efficiency_metrics(
    granularity: GranularityType,
    time_period: TimePeriod,
    *,
    config_overrides: Optional[CostOptimizationHubClientConfig] = None,
    group_by: Optional[str] = None,
    max_results: Optional[MaxResults] = None,
    order_by: Optional[OrderBy] = None,
    next_token: Optional[str] = None,
) -> Iterator[EfficiencyMetricsByGroup]
Source code in docs_src/capo_cost_optimization_hub/_services/cost_optimization_hub.py
def iter_list_efficiency_metrics(
    self,
    granularity: "capo_cost_optimization_hub.types.granularity_type.GranularityType",
    time_period: "capo_cost_optimization_hub.types.time_period.TimePeriod",
    *,
    config_overrides: Optional[CostOptimizationHubClientConfig] = None,
    group_by: Optional[str] = None,
    max_results: Optional[
        "capo_cost_optimization_hub.types.max_results.MaxResults"
    ] = None,
    order_by: Optional["capo_cost_optimization_hub.types.order_by.OrderBy"] = None,
    next_token: Optional[str] = None,
) -> "Iterator[capo_cost_optimization_hub.types.efficiency_metrics_by_group.EfficiencyMetricsByGroup]":
    _token = next_token
    while True:
        _response = self.list_efficiency_metrics(
            granularity,
            time_period,
            config_overrides=config_overrides,
            group_by=group_by,
            max_results=max_results,
            order_by=order_by,
            next_token=_token,
        )
        _page = _resolve_path(_response, ("efficiency_metrics_by_group",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break