iter_get_lambda_function_recommendations async ¶

async def iter_get_lambda_function_recommendations(
    self,
    *,
    config_overrides: Optional[AsyncComputeOptimizerClientConfig] = None,
    function_arns: Optional[
        "capo_compute_optimizer.types.function_arns.FunctionArns"
    ] = None,
    account_ids: Optional[
        "capo_compute_optimizer.types.account_ids.AccountIds"
    ] = None,
    filters: Optional[
        "capo_compute_optimizer.types.lambda_function_recommendation_filters.LambdaFunctionRecommendationFilters"
    ] = None,
    next_token: Optional[
        "capo_compute_optimizer.types.next_token.NextToken"
    ] = None,
    max_results: Optional[
        "capo_compute_optimizer.types.max_results.MaxResults"
    ] = None,
) -> "AsyncIterator[capo_compute_optimizer.types.lambda_function_recommendation.LambdaFunctionRecommendation]":
    _token = next_token
    while True:
        _response = await self.get_lambda_function_recommendations(
            config_overrides=config_overrides,
            function_arns=function_arns,
            account_ids=account_ids,
            filters=filters,
            next_token=_token,
            max_results=max_results,
        )
        _page = _resolve_path(_response, ("lambda_function_recommendations",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break