<img src="/img/tutorial/security/image05.png">

### 🤚 👆 👍 👩‍💻 💽

🔜 ⚙️ 🛠️ `GET` ⏮️ ➡ `/users/me`.

👆 🔜 🤚 👆 👩‍💻 📊, 💖:

```JSON
{
  "username": "johndoe",
  "email": "johndoe@example.com",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

    ```Python hl_lines="15-23"
    {!> ../../../docs_src/schema_extra_example/tutorial001.py!}
    ```

这些额外的信息将按原样添加到输出的JSON模式中。

## `Field` 的附加参数

在 `Field`, `Path`, `Query`, `Body` 和其他你之后将会看到的工厂函数，你可以为JSON 模式声明额外信息，你也可以通过给工厂函数传递其他的任意参数来给JSON 模式声明额外信息，比如增加 `example`:

=== "Python 3.10+"

    ```Python hl_lines="2  8-11"
    {!> ../../../docs_src/schema_extra_example/tutorial002_py310.py!}
    ```

=== "Python 3.8+"

* `File()`

👆 💪 📣 💽 `example` ⚖️ 👪 `examples` ⏮️ 🌖 ℹ 👈 🔜 🚮 **🗄**.

### `Body` ⏮️ `example`

📥 👥 🚶‍♀️ `example` 📊 ⌛ `Body()`:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="20-25"
    {!> ../../../docs_src/schema_extra_example/tutorial003.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="18-23"
    {!> ../../../docs_src/schema_extra_example/tutorial003_py310.py!}
    ```

Guillaume Nodet <******@****.***> 1711363801 +0100

include(":okhttp-sse")
include(":okhttp-testing-support")
include(":okhttp-tls")
include(":okhttp-urlconnection")
include(":samples:compare")
include(":samples:crawler")
include(":samples:guide")
include(":samples:simple-client")
include(":samples:slack")
include(":samples:static-server")
include(":samples:tlssurvey")
include(":samples:unixdomainsockets")
include(":container-tests")

project(":okhttp-logging-interceptor").name = "logging-interceptor"

---

But for this example, we'll use a very simple HTML document with some JavaScript, all inside a long string.

This, of course, is not optimal and you wouldn't use it for production.

In production you would have one of the options above.

But it's the simplest way to focus on the server-side of WebSockets and have a working example:

```Python hl_lines="2  6-38  41-43"

## Use Case

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

# Extra Models

Continuing with the previous example, it will be common to have more than one related model.

This is especially the case for user models, because:

* The **input model** needs to be able to have a password.
* The **output model** should not have a password.
* The **database model** would probably need to have a hashed password.

!!! danger
    Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.

```Python hl_lines="3"
{!../../../docs_src/app_testing/test_main.py!}
```

...and have the code for the tests just like before.

## Testing: extended example

Now let's extend this example and add more details to see how to test different parts.

### Extended **FastAPI** app file

Let's continue with the same file structure as before:

```
.
├── app
│   ├── __init__.py

```

就能以如下方式调用：

```Python
user_dict = user_in.dict()
```

现在，变量 `user_dict`中的就是包含数据的**字典**（变量 `user_dict` 是字典，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python **字典**：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': 'john.doe@example.com',
    'full_name': None,
}
```