Isso vai lhe permitir **reusar o modelo** em **múltiplos lugares** e também declarar validações e metadadados para todos os parâmetros de uma vez. 😎

/// note | Nota

Isso é possível desde a versão `0.115.0` do FastAPI. 🤓

///

## Parâmetros do Cabeçalho com um Modelo Pydantic

Declare os **parâmetros de cabeçalho** que você precisa em um **modelo do Pydantic**, e então declare o parâmetro como `Header`:

from fastapi.testclient import TestClient

from docs_src.response_model.tutorial003_05 import app

client = TestClient(app)


def test_get_portal():
    response = client.get("/portal")
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "Here's your interdimensional portal."}


def test_get_redirect():
    response = client.get("/portal", params={"teleport": True}, follow_redirects=False)

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.query_params_str_validations.tutorial014_an_py39 import app

    client = TestClient(app)
    return client


@needs_py310
def test_hidden_query(client: TestClient):
    response = client.get("/items?hidden_query=somevalue")

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py39


@needs_py39
@pytest.mark.parametrize(
    "path,cookies,expected_status,expected_response",
    [
        ("/items", None, 200, {"ads_id": None}),
        ("/items", {"ads_id": "ads_track"}, 200, {"ads_id": "ads_track"}),
        (
            "/items",
            {"ads_id": "ads_track", "session": "cookiesession"},

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310, needs_pydanticv1


@pytest.fixture(name="client")
def get_client():
    from docs_src.schema_extra_example.tutorial001_py310_pv1 import app

    client = TestClient(app)
    return client


@needs_py310
@needs_pydanticv1
def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.header_params.tutorial003_an import app

client = TestClient(app)


@pytest.mark.parametrize(
    "path,headers,expected_status,expected_response",
    [
        ("/items", None, 200, {"X-Token values": None}),
        ("/items", {"x-token": "foo"}, 200, {"X-Token values": ["foo"]}),
        # TODO: fix this, is it a bug?

///

/// note

👀 👈 📚 📟 🐩 `SQLAlchemy` 📟 👆 🔜 ⚙️ ⏮️ 🙆 🛠️.

 **FastAPI** 🎯 📟 🤪 🕧.

///

## 🐜

**FastAPI** 👷 ⏮️ 🙆 💽 & 🙆 👗 🗃 💬 💽.

⚠ ⚓ ⚙️ "🐜": "🎚-🔗 🗺" 🗃.

from typing import List

from dirty_equals import IsDict
from fastapi import FastAPI, Query
from fastapi.testclient import TestClient

app = FastAPI()


@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

So könnten Sie beispielsweise die gleichen Daten aus einer Django-Anwendung in einer Datenbank mit einer FastAPI-Anwendung teilen. Oder schrittweise eine Django-Anwendung migrieren, während Sie dieselbe Datenbank verwenden.

Und Ihre Benutzer könnten sich gleichzeitig über Ihre Django-Anwendung oder Ihre **FastAPI**-Anwendung anmelden.

///

## Die Passwörter hashen und überprüfen

}
```

In this example, the "Proxy" could be something like **Traefik**. And the server would be something like FastAPI CLI with **Uvicorn**, running your FastAPI application.

### Providing the `root_path`

To achieve this, you can use the command line option `--root-path` like:

<div class="termy">

```console
$ fastapi run main.py --root-path /api/v1