* Konvertieren von Nicht-JSON-Requestbodys nach JSON (z. B. <a href="https://msgpack.org/index.html" class="external-link" target="_blank">`msgpack`</a>).
* Dekomprimierung gzip-komprimierter Requestbodys.
* Automatisches Loggen aller Requestbodys.

## Handhaben von benutzerdefinierten Requestbody-Kodierungen

Sehen wir uns an, wie Sie eine benutzerdefinierte `Request`-Unterklasse verwenden, um gzip-Requests zu dekomprimieren.

    ```

=== "Python 3.8+"

    ```Python hl_lines="15  19  24"
    {!> ../../../docs_src/dependencies/tutorial001_02_an.py!}
    ```

!!! tip
    This is just standard Python, it's called a "type alias", it's actually not specific to **FastAPI**.

    But because **FastAPI** is based on the Python standards, including `Annotated`, you can use this trick in your code. 😎

# FastAPI CLI

**FastAPI CLI** is a command line program `fastapi` that you can use to serve your FastAPI app, manage your FastAPI project, and more.

When you install FastAPI (e.g. with `pip install fastapi`), it includes a package called `fastapi-cli`, this package provides the `fastapi` command in the terminal.

To run your FastAPI app for development, you can use the `fastapi dev` command:

<div class="termy">

```console

This means that instead of the normal process of your users sending requests to your API, it's **your API** (or your app) that could **send requests to their system** (to their API, their app).

This is normally called a **webhook**.

## Webhooks steps

The process normally is that **you define** in your code what is the message that you will send, the **body of the request**.

    {!> ../../../docs_src/dependencies/tutorial011.py!}
    ```

In this case, this `__call__` is what **FastAPI** will use to check for additional parameters and sub-dependencies, and this is what will be called to pass a value to the parameter in your *path operation function* later.

## Parameterize the instance

And now, we can use `__init__` to declare the parameters of the instance that we can use to "parameterize" the dependency:

In an advanced scenario where you know you need the dependency to be called at every step (possibly multiple times) in the same request instead of using the "cached" value, you can set the parameter `use_cache=False` when using `Depends`:

=== "Python 3.8+"

    ```Python hl_lines="1"

Plus jamais vous ne vous tromperez en tapant le nom d'une clé, vous ne ferez des aller-retour entre votre code et la documentation ou vous ne scrollerez de haut en bas afin d'enfin savoir si vous devez taper `username` ou `user_name`.

### Court

    ```

=== "Python 3.8+"

    ```Python hl_lines="9  11  16  22  24  29-30  33-35  40-41"
    {!> ../../../docs_src/extra_models/tutorial001.py!}
    ```

!!! info
    In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

👆 💪 📣 👈 🔢 💪 🙆 **📚 🆎**, 🖼, `int` ⚖️ `str`.

🐍 3️⃣.6️⃣ & 🔛 (✅ 🐍 3️⃣.1️⃣0️⃣) 👆 💪 ⚙️ `Union` 🆎 ⚪️➡️ `typing` & 🚮 🔘 ⬜ 🗜 💪 🆎 🚫.

🐍 3️⃣.1️⃣0️⃣ 📤 **🎛 ❕** 🌐❔ 👆 💪 🚮 💪 🆎 👽 <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>⏸ ⏸ (`|`)</abbr>.

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

    ```Python hl_lines="1  4"
    {!> ../../../docs_src/python_types/tutorial008b.py!}
    ```

Wie bereits oben erwähnt, können Sie `./scripts/docs.py` mit dem Befehl `live` verwenden, um eine Vorschau der Ergebnisse anzuzeigen (oder `mkdocs serve`).

Sobald Sie fertig sind, können Sie auch alles so testen, wie es online aussehen würde, einschließlich aller anderen Sprachen.

Bauen Sie dazu zunächst die gesamte Dokumentation:

<div class="termy">

```console
// Verwenden Sie das Kommando „build-all“, das wird ein wenig dauern