@app.get("/items/")
def read_items(q: List[int] = Query(default=None)):
    return {"q": q}


client = TestClient(app)


def test_multi_query():
    response = client.get("/items/?q=5&q=6")
    assert response.status_code == 200, response.text
    assert response.json() == {"q": [5, 6]}


def test_multi_query_incorrect():
    response = client.get("/items/?q=five&q=six")
    assert response.status_code == 422, response.text

Sebastián Ramírez <******@****.***> 1713469257 -0500

@pytest.fixture(name="client")
def get_client():
    from docs_src.query_params_str_validations.tutorial011_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_multi_query_values(client: TestClient):
    url = "/items/?q=foo&q=bar"
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == {"q": ["foo", "bar"]}


@needs_py310

def create_item(item: Item):
    return item


@app.get("/items/")
def read_items() -> List[Item]:
    return [
        Item(
            name="Portal Gun",
            description="Device to travel through the multi-rick-verse",
        ),
        Item(name="Plumbus"),

def create_item(item: Item):
    return item


@app.get("/items/")
def read_items() -> list[Item]:
    return [
        Item(
            name="Portal Gun",
            description="Device to travel through the multi-rick-verse",
        ),
        Item(name="Plumbus"),

    * **Vue-router**.
    * **Vuetify** para belos componentes _material design_.
    * **TypeScript**.
    * Servidor Docker baseado em **Nginx** (configurado para rodar "lindamente" com Vue-router).
    * Construção multi-estágio Docker, então você não precisa salvar ou _commitar_ código compilado.
    * Testes _frontend_ rodados na hora da construção (pode ser desabilitado também).

    * **Vuetify** pour de magnifiques composants *material design*.
    * **TypeScript**.
    * Serveur Docker basé sur **Nginx** (configuré pour être facilement manipulé avec Vue-router).
    * Utilisation de *Docker multi-stage building*, pour ne pas avoir besoin de sauvegarder ou *commit* du code compilé.
    * Tests frontend exécutés à la compilation (pouvant être désactivés).

    url = "/items/"
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == {"q": ["foo", "bar"]}


@needs_py39
def test_multi_query_values(client: TestClient):
    url = "/items/?q=baz&q=foobar"
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == {"q": ["baz", "foobar"]}

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

@pytest.fixture(name="client")
def get_client():
    from docs_src.query_params_str_validations.tutorial011_an_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_multi_query_values(client: TestClient):
    url = "/items/?q=foo&q=bar"
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == {"q": ["foo", "bar"]}


@needs_py310