```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():

# Security Policy

Security is very important for FastAPI and its community. 🔒

Learn more about it below. 👇

## Versions

The latest version of FastAPI is supported.

You are encouraged to [write tests](https://fastapi.tiangolo.com/tutorial/testing/) for your application and update your FastAPI version frequently after ensuring that your tests are passing. This way you will benefit from the latest features, bug fixes, and **security fixes**.

///

FastAPI는 요청을 자동으로 변환해, 매개변수의 `item`과 `user`를 특별한 내용으로 받도록 할 것입니다.

복합 데이터의 검증을 수행하고 OpenAPI 스키마 및 자동 문서를 문서화합니다.

## 본문 내의 단일 값

쿼리 및 경로 매개변수에 대한 추가 데이터를 정의하는 `Query`와 `Path`와 같이, **FastAPI**는 동등한 `Body`를 제공합니다.

예를 들어 이전의 모델을 확장하면, `item`과 `user`와 동일한 본문에 또 다른 `importance`라는 키를 갖도록 할 수있습니다.

단일 값을 그대로 선언한다면, **FastAPI**는 쿼리 매개변수로 가정할 것입니다.

    * Si estás comparando Starlette, compáralo con Sanic, Flask, Django, etc. Frameworks web (o microframeworks).
* **FastAPI**:
    * De la misma manera 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.

* **FastAPI** :
    * Comme Starlette, FastAPI utilise Uvicorn et ne peut donc pas être plus rapide que ce dernier.

And then it just returns a `dict` containing those values.

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///

Was hat **FastAPI** inspiriert, ein Vergleich zu Alternativen, und was FastAPI von diesen gelernt hat.

## Einführung

**FastAPI** würde ohne die frühere Arbeit anderer nicht existieren.

Es wurden zuvor viele Tools entwickelt, die als Inspiration für seine Entwicklung dienten.

👀 👈 👆 🚫 ✔️ ✍ 🎁 🎓 & 🚶‍♀️ ⚫️ 👱 **FastAPI** "®" ⚫️ ⚖️ 🕳 🎏.

👆 🚶‍♀️ ⚫️ `Depends` & **FastAPI** 💭 ❔ 🎂.

///

##  `async` ⚖️ 🚫 `async`

🔗 🔜 🤙 **FastAPI** (🎏 👆 *➡ 🛠️ 🔢*), 🎏 🚫 ✔ ⏪ 🔬 👆 🔢.

👆 💪 ⚙️ `async def` ⚖️ 😐 `def`.

& 👆 💪 📣 🔗 ⏮️ `async def` 🔘 😐 `def` *➡ 🛠️ 🔢*, ⚖️ `def` 🔗 🔘 `async def` *➡ 🛠️ 🔢*, ♒️.

⚫️ 🚫 🤔. **FastAPI** 🔜 💭 ⚫️❔.

/// note

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from fastapi.websockets import WebSocketDisconnect

from ...utils import needs_py39


@pytest.fixture(name="app")
def get_app():
    from docs_src.websockets.tutorial002_an_py39 import app

    return app


@needs_py39
def test_main(app: FastAPI):
    client = TestClient(app)
    response = client.get("/")

You can use the `StaticFiles` class to serve static files, like JavaScript, CSS, images, etc.

Read more about it in the [FastAPI docs for Static Files](https://fastapi.tiangolo.com/tutorial/static-files/).

You can import it directly from `fastapi.staticfiles`:

```python
from fastapi.staticfiles import StaticFiles
```