iter_list_aggregated_utterances ¶

def iter_list_aggregated_utterances(
    self,
    bot_id: "capo_lex_models_v2.types.id.Id",
    locale_id: "capo_lex_models_v2.types.locale_id.LocaleId",
    aggregation_duration: "capo_lex_models_v2.types.utterance_aggregation_duration.UtteranceAggregationDuration",
    *,
    config_overrides: Optional[LexModelsV2ClientConfig] = None,
    bot_alias_id: Optional[
        "capo_lex_models_v2.types.bot_alias_id.BotAliasId"
    ] = None,
    bot_version: Optional["capo_lex_models_v2.types.bot_version.BotVersion"] = None,
    sort_by: Optional[
        "capo_lex_models_v2.types.aggregated_utterances_sort_by.AggregatedUtterancesSortBy"
    ] = None,
    filters: Optional[
        "capo_lex_models_v2.types.aggregated_utterances_filters.AggregatedUtterancesFilters"
    ] = None,
    max_results: Optional["capo_lex_models_v2.types.max_results.MaxResults"] = None,
    next_token: Optional["capo_lex_models_v2.types.next_token.NextToken"] = None,
) -> "Iterator[capo_lex_models_v2.types.list_aggregated_utterances_response.ListAggregatedUtterancesResponse]":
    _token = next_token
    while True:
        _response = self.list_aggregated_utterances(
            bot_id,
            locale_id,
            aggregation_duration,
            config_overrides=config_overrides,
            bot_alias_id=bot_alias_id,
            bot_version=bot_version,
            sort_by=sort_by,
            filters=filters,
            max_results=max_results,
            next_token=_token,
        )
        yield _response
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break