iter_get_recommendation_preferences ¶

def iter_get_recommendation_preferences(
    self,
    resource_type: "capo_compute_optimizer.types.resource_type.ResourceType",
    *,
    config_overrides: Optional[ComputeOptimizerClientConfig] = None,
    scope: Optional["capo_compute_optimizer.types.scope.Scope"] = None,
    next_token: Optional[
        "capo_compute_optimizer.types.next_token.NextToken"
    ] = None,
    max_results: Optional[
        "capo_compute_optimizer.types.max_results.MaxResults"
    ] = None,
) -> "Iterator[capo_compute_optimizer.types.recommendation_preferences_detail.RecommendationPreferencesDetail]":
    _token = next_token
    while True:
        _response = self.get_recommendation_preferences(
            resource_type,
            config_overrides=config_overrides,
            scope=scope,
            next_token=_token,
            max_results=max_results,
        )
        _page = _resolve_path(_response, ("recommendation_preferences_details",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break