The same way, there are many compatible tools. Including code generation tools for many languages.

## Pydantic

All the data validation is performed under the hood by <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, so you get all the benefits from it. And you know you are in good hands.

You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.

    バックグラウンドタスク (後述) がある場合は、それらは全てのミドルウェアの *後に* 実行されます。

## ミドルウェアの作成

ミドルウェアを作成するには、関数の上部でデコレータ `@app.middleware("http")` を使用します。

ミドルウェア関数は以下を受け取ります:

* `request`。
* パラメータとして `request` を受け取る関数 `call_next`。
    * この関数は、対応する*path operation*に `request` を渡します。
    * 次に、対応する*path operation*によって生成された `response` を返します。
* その後、`response` を返す前にさらに `response` を変更することもできます。

```Python hl_lines="8-9  11  14"

If you need or want to work with **GraphQL**, <a href="https://strawberry.rocks/" class="external-link" target="_blank">**Strawberry**</a> is the **recommended** library as it has the design closest to **FastAPI's** design, it's all based on **type annotations**.

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

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

!!! tip
    If you want to call `async` functions in your tests apart from sending requests to your FastAPI application (e.g. asynchronous database functions), have a look at the [Async Tests](../advanced/async-tests.md){.internal-link target=_blank} in the advanced tutorial.

<a href="https://fastapi.tiangolo.com/fastapi-people/#sponsors" class="external-link" target="_blank">Inni sponsorzy</a>

## Opinie

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

* <a href="https://github.com/esnme/ultrajson" target="_blank"><code>ujson</code></a> - Обязательно, если вы хотите использовать `UJSONResponse`.

Вы можете установить все это с помощью `pip install "fastapi[all]"`.

## Лицензия

* <a href="https://github.com/esnme/ultrajson" target="_blank"><code>ujson</code></a> - 使用 `UJSONResponse` 时安装。

你可以通过 `pip install "fastapi[all]"` 命令来安装以上所有依赖。

## 许可协议

This might all sound abstract. Don't worry. You'll see all this in action in the [Tutorial - User Guide](tutorial/index.md){.internal-link target=_blank}.

The important thing is that by using standard Python types, in a single place (instead of adding more classes, decorators, etc), **FastAPI** will do a lot of the work for you.

!!! info

## Was ist „Dependency Injection“

**„Dependency Injection“** bedeutet in der Programmierung, dass es für Ihren Code (in diesem Fall Ihre *Pfadoperation-Funktionen*) eine Möglichkeit gibt, Dinge zu deklarieren, die er verwenden möchte und die er zum Funktionieren benötigt: „Abhängigkeiten“ – „Dependencies“.

Username: `johndoe`
Password: `secret`

!!! check
    Notice that nowhere in the code is the plaintext password "`secret`", we only have the hashed version.

<img src="/img/tutorial/security/image08.png">

Call the endpoint `/users/me/`, you will get the response as:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```