data = get_graphql_response(
        settings=settings,
        query=all_discussions_query,
        category_id=questions_translations_category_id,
    )
    graphql_response = AllDiscussionsResponse.model_validate(data)
    return graphql_response.data.repository.discussions.nodes


def get_graphql_translation_discussion_comments_edges(
    *, settings: Settings, discussion_number: int, after: Union[str, None] = None

    mod.engine.dispose()


def test_crud_app(client: TestClient):
    # TODO: this warns that SQLModel.from_orm is deprecated in Pydantic v1, refactor
    # this if using obj.model_validate becomes independent of Pydantic v2
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        # No heroes before creating
        response = client.get("heroes/")

    mod.engine.dispose()


def test_crud_app(client: TestClient):
    # TODO: this warns that SQLModel.from_orm is deprecated in Pydantic v1, refactor
    # this if using obj.model_validate becomes independent of Pydantic v2
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        # No heroes before creating
        response = client.get("heroes/")

////

/// info | Информация

В Pydantic версии 1 метод для парсинга и валидации объекта назывался `Item.parse_obj()`, в Pydantic версии 2 метод называется `Item.model_validate()`.

///

/// tip | Совет

Здесь мы переиспользуем ту же Pydantic-модель.

Но аналогично мы могли бы валидировать данные и каким-то другим способом.

    data = get_graphql_response(
        settings=settings,
        query=discussions_query,
        after=after,
        category_id=questions_category_id,
    )
    graphql_response = DiscussionsResponse.model_validate(data)
    return graphql_response.data.repository.discussions.edges


class DiscussionExpertsResults(BaseModel):
    commenters: Counter[str]
    last_month_commenters: Counter[str]