# Een Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Vervolgens kan je het op deze manier gebruiken:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

// Bean metadata introspection
BeanDesc beanDesc = BeanDescFactory.getBeanDesc(MyBean.class);
PropertyDesc nameProperty = beanDesc.getPropertyDesc("name");
nameProperty.setValue(bean, "John Doe");

// Bean copying with flexible options
BeanUtil.copyBeanToBean(source, destination);
BeanUtil.copyBeanToBean(source, destination, options -> 
    options.exclude("password", "internalId"));

///

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

Вызвав эндпоинт `/users/me/`, вы получите ответ в виде:

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

<img src="/img/tutorial/security/image09.png">

    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは以下のように用いられます:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | 情報

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

Chame o endpoint `/users/me/`, você receberá o retorno como:

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

<img src="/img/tutorial/security/image09.png">

    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```


可以像這樣來使用：

```python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```


/// info

///

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

`/users/me/` 를 호출하면 다음과 같은 응답을 얻을 수 있습니다:

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

<img src="/img/tutorial/security/image09.png">

개발자 도구를 열어보면 전송된 데이터에 토큰만 포함된 것을 확인할 수 있습니다. 패스워드는 사용자를 인증하고 액세스 토큰을 받기 위한 첫 번째 요청에만 전송되며, 이후에는 전송되지 않습니다:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Samenvatting

Samengevat declareer je **eenmalig** de types van parameters, body, etc. als functieparameters.

Dat doe je met standaard moderne Python types.

Je hoeft geen nieuwe syntax te leren, de methods of klassen van een specifieke bibliotheek, etc.

Gewoon standaard **Python**.

Bijvoorbeeld, voor een `int`:

///

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

エンドポイント`/users/me/`を呼び出すと、次のようなレスポンスが得られます：

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

<img src="/img/tutorial/security/image09.png">

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