from pydantic import BaseModel


def test_invalid_sequence():
    with pytest.raises(AssertionError):
        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/{id}")
        def read_items(id: list[Item]):
            pass  # pragma: no cover


def test_invalid_tuple():
    with pytest.raises(AssertionError):
        app = FastAPI()

        class Item(BaseModel):

* Desempenho realmente impressionante. É <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">um dos frameworks Python disponíveis mais rápidos, a par com o **NodeJS** e **Go**</a>.
* Suporte a **WebSocket**.
* Tarefas em processo background.
* Eventos na inicialização e encerramento.
* Cliente de testes construído sobre HTTPX.

class NonPydanticModel:
    pass


def test_invalid_response_model_raises():
    with pytest.raises(FastAPIError):
        app = FastAPI()

        @app.get("/", response_model=NonPydanticModel)
        def read_root():
            pass  # pragma: nocover


def test_invalid_response_model_sub_type_raises():
    with pytest.raises(FastAPIError):
        app = FastAPI()

    client = TestClient(app)
    with pytest.raises(WebSocketDisconnect):
        with client.websocket_connect("/items/foo/ws"):
            pytest.fail(
                "did not raise WebSocketDisconnect on __enter__"
            )  # pragma: no cover


def test_websocket_invalid_data(app: FastAPI):
    client = TestClient(app)
    with pytest.raises(WebSocketDisconnect):

Importe a classe, ou subclasse, de `Response` que você deseja utilizar e declare ela no *decorador de operação de rota*.

Para respostas grandes, retornar uma `Response` diretamente é muito mais rápido que retornar um dicionário.

    assert response.status_code == 418
    assert response.json() == {"detail": "Session error"}


def test_broken_raise():
    with pytest.raises(ValueError, match="Broken after yield"):
        client.get("/broken")


def test_broken_no_raise():
    """
    When a dependency with yield raises after the yield (not in an except), the
    response is already "successfully" sent back to the client, but there's still

    schema = Schema(type=type_value)
    assert schema.type == type_value


def test_invalid_type_value() -> None:
    """Test that Schema raises ValueError for invalid type values."""
    with pytest.raises(ValueError, match="2 validation errors for Schema"):

def test_broken_session_stream_raise():
    # Can raise ValueError on Pydantic v2 and ExceptionGroup on Pydantic v1
    with pytest.raises((ValueError, Exception)):
        client.get("/broken-session-stream")


def test_broken_session_stream_no_raise():
    """
    When a dependency with yield raises after the streaming response already started
    the 200 status code is already sent, but there's still an error in the server

# À propos des versions de FastAPI

**FastAPI** est déjà utilisé en production dans de nombreuses applications et systèmes. Et la couverture de test est maintenue à 100 %. Mais son développement est toujours aussi rapide.

De nouvelles fonctionnalités sont ajoutées fréquemment, des bogues sont corrigés régulièrement et le code est
amélioré continuellement.

C'est pourquoi les versions actuelles sont toujours `0.x.x`, cela reflète que chaque version peut potentiellement

    * Si estás comparando Starlette, compáralo con Sanic, Flask, Django, etc. Frameworks web (o microframeworks).
* **FastAPI**:
    * De la misma forma en que Starlette usa Uvicorn y no puede ser más rápido que él, **FastAPI** usa Starlette, por lo que no puede ser más rápido que él.