Dans cet exemple, nous n'avons déclaré aucun modèle Pydantic. En fait, le corps de la requête n'est même pas <abbr title="converti d'un format simple, comme des octets, en objets Python">parsé</abbr> en tant que JSON, il est lu directement en tant que `bytes`, et la fonction `magic_data_reader()` serait chargé de l'analyser d'une manière ou d'une autre.

Néanmoins, nous pouvons déclarer le schéma attendu pour le corps de la requête.

### Type de contenu OpenAPI personnalisé

# Corps de la requête

Quand vous avez besoin d'envoyer de la donnée depuis un client (comme un navigateur) vers votre API, vous l'envoyez en tant que **corps de requête**.

Le corps d'une **requête** est de la donnée envoyée par le client à votre API. Le corps d'une **réponse** est la donnée envoyée par votre API au client.

Votre API aura presque toujours à envoyer un corps de **réponse**. Mais un client n'a pas toujours à envoyer un corps de **requête**.

* `limit`: ⏮️ 💲 `10`

👫 🍕 📛, 👫 "🛎" 🎻.

✋️ 🕐❔ 👆 📣 👫 ⏮️ 🐍 🆎 (🖼 🔛, `int`), 👫 🗜 👈 🆎 & ✔ 🛡 ⚫️.

🌐 🎏 🛠️ 👈 ⚖ ➡ 🔢 ✔ 🔢 🔢:

* 👨‍🎨 🐕‍🦺 (🎲)
* 💽 <abbr title="converting the string that comes from an HTTP request into Python data">"✍"</abbr>
* 💽 🔬
* 🏧 🧾

## 🔢

🔢 🔢 🚫 🔧 🍕 ➡, 👫 💪 📦 &amp; 💪 ✔️ 🔢 💲.

🖼 🔛 👫 ✔️ 🔢 💲 `skip=0` &amp; `limit=10`.

, 🔜 📛:

```

  }

  /**
   * Either writes this request to [sink] or measures its content length. We have one method
   * do double-duty to make sure the counting and content are consistent, particularly when it comes
   * to awkward operations like measuring the encoded length of header strings, or the
   * length-in-digits of an encoded integer.
   */
  private fun writeOrCountBytes(
    sink: BufferedSink?,
    countBytes: Boolean,

```

!!! note "Technical Details"
    You could also use `from starlette.websockets import WebSocket`.

    **FastAPI** provides the same `WebSocket` directly just as a convenience for you, the developer. But it comes directly from Starlette.

## Await for messages and send messages

In your WebSocket route you can `await` for messages and send messages.

```Python hl_lines="48-52"
{!../../../docs_src/websockets/tutorial001.py!}

=== "Python 3.10+"

    ```Python hl_lines="1  14-15  18-20  33"
    {!> ../../../docs_src/extra_models/tutorial003_py310.py!}
    ```

=== "Python 3.8+"

![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)

You will get completion in code you might even consider impossible before. As for example, the `price` key inside a JSON body (that could have been nested) that comes from a request.

No more typing the wrong key names, coming back and forth between docs, or scrolling up and down to find if you finally used `username` or `user_name`.

### Short

A "middleware" is a function that works with every **request** before it is processed by any specific *path operation*. And also with every **response** before returning it.

* It takes each **request** that comes to your application.
* It can then do something to that **request** or run any needed code.
* Then it passes the **request** to be processed by the rest of the application (by some *path operation*).

    You could also use `from starlette.staticfiles import StaticFiles`.

    **FastAPI** provides the same `starlette.staticfiles` as `fastapi.staticfiles` just as a convenience for you, the developer. But it actually comes directly from Starlette.

### What is "Mounting"

"Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths.

and utilities for concurrency, I/O, hashing, primitives, strings, and more! It
is widely used on most Java projects within Google, and widely used by many
other companies as well.



Guava comes in two flavors:

*   The JRE flavor requires JDK 1.8 or higher.
*   If you need support for Android, use
    [the Android flavor](https://github.com/google/guava/wiki/Android). You can