Os modelos Pydantic possuem um método `.dict()` que retorna um `dict` com os dados do modelo.

Então, se criarmos um objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

e depois chamarmos:

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

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

& ⤴️ 👥 🤙:

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

👥 🔜 ✔️ `dict` ⏮️ 💽 🔢 `user_dict` (⚫️ `dict` ↩️ Pydantic 🏷 🎚).

& 🚥 👥 🤙:

```Python
print(user_dict)
```

👥 🔜 🤚 🐍 `dict` ⏮️:

```Python
{
    'username': 'john',
    'password': 'secret',

    もしあなたがPythonの専門家で、すでに型ヒントについてすべて知っているのであれば、次の章まで読み飛ばしてください。

## 動機

簡単な例から始めてみましょう:

```Python
{!../../../docs_src/python_types/tutorial001.py!}
```

このプログラムを実行すると以下が出力されます:

```
John Doe
```

この関数は以下のようなことを行います:

* `first_name`と`last_name`を取得します。
* `title()`を用いて、それぞれの最初の文字を大文字に変換します。
* 真ん中にスペースを入れて<abbr title="次から次へと中身を入れて一つにまとめる">連結</abbr>します。

```Python hl_lines="2"

      <organization>ASF</organization>
      <roles>
        <role>PMC Member</role>
      </roles>
      <timezone>+1</timezone>
    </developer>
    <developer>
      <id>jdcasey</id>
      <name>John Casey</name>
      <email>******@****.***</email>
      <organization>ASF</organization>
      <roles>
        <role>PMC Member</role>
      </roles>
      <timezone>-5</timezone>
    </developer>

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

A one będą mogły zostać później użyte w następujący sposób:

```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


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

Это можно использовать так:

```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 "Информация"

    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Este puede ser usado como:

```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

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

که سپس میتوان به این شکل از آن استفاده کرد:

```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


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

위의 코드는 다음과 같이 사용될 수 있습니다:

```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 "정보"

### 자신의 유저 데이터 가져오기

이제 `/users/me` 경로에 `GET` 작업을 진행합시다.

다음과 같은 사용자 데이터를 얻을 수 있습니다:

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

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

잠금 아이콘을 클릭하고 로그아웃한 다음 동일한 작업을 다시 시도하면 다음과 같은 HTTP 401 오류가 발생합니다.

```JSON