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** 👷 ⏮️ 🙆 💽 & 🙆 👗 🗃 💬 💽.

⚠ ⚓ ⚙️ "🐜": "🎚-🔗 🗺" 🗃.

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

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

from fastapi.testclient import TestClient

from docs_src.path_operation_advanced_configuration.tutorial003 import app

client = TestClient(app)


def test_get():
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [{"item_id": "Foo"}]


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

👆 💪 ⚙️ 🏪 🔢 ⚪️➡️ `fastapi.status`.

```Python hl_lines="1  6"
{!../../docs_src/response_status_code/tutorial002.py!}
```

👫 🏪, 👫 🧑‍🤝‍🧑 🎏 🔢, ✋️ 👈 🌌 👆 💪 ⚙️ 👨‍🎨 📋 🔎 👫:

<img src="/img/tutorial/response-status-code/image02.png">

/// note | "📡 ℹ"

👆 💪 ⚙️ `from starlette import status`.

**FastAPI** 🚚 🎏 `starlette.status` `fastapi.status` 🏪 👆, 👩‍💻. ✋️ ⚫️ 👟 🔗 ⚪️➡️ 💃.

}
```

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

///

整个 **FastAPI** 建立在 Pydantic 的基础之上。

实际上你将在 [教程 - 用户指南](tutorial/index.md){.internal-link target=_blank} 看到很多这种情况。

## **FastAPI** 中的类型提示

**FastAPI** 利用这些类型提示来做下面几件事。

使用 **FastAPI** 时用类型提示声明参数可以获得：

* **编辑器支持**。
* **类型检查**。

...并且 **FastAPI** 还会用这些类型声明来：

* **定义参数要求**：声明对请求路径参数、查询参数、请求头、请求体、依赖等的要求。