* Des performances vraiment impressionnantes. C'est l'<a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">un des framework Python les plus rapide, à égalité avec **NodeJS** et **GO**</a>.
* Le support des **WebSockets**.
* Le support de **GraphQL**.
* Les <abbr title="En anglais: In-process background tasks">tâches d'arrière-plan.</abbr>

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):

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):

    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

    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        monkeypatch.delattr("multipart.multipart.parse_options_header", raising=False)
    with pytest.raises(RuntimeError, match=multipart_incorrect_install_error):
        app = FastAPI()

        @app.post("/")
        async def root(username: str = Form()):
            return username  # pragma: nocover

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.post("/param")
        def endpoint(data: ParamModelV1):  # pragma: no cover
            return data


def test_raises_pydantic_v1_model_in_return_type() -> None:
    class ReturnModelV1(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.get("/return")

* 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.

from pydantic import BaseModel


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

        class Item(BaseModel):
            title: str

        @app.get("/items/")
        def read_items(q: list[Item] = Query(default=None)):
            pass  # pragma: no cover


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

        class Item(BaseModel):

    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"):