"/users/me", headers={"Authorization": f"Bearer {access_token}"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "disabled": False,
    }


@needs_py39
def test_incorrect_token(client: TestClient):

        "/users/me", headers={"Authorization": f"Bearer {access_token}"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "disabled": False,
    }


@needs_py310
def test_incorrect_token(client: TestClient):

        "/users/me", headers={"Authorization": f"Bearer {access_token}"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "disabled": False,
    }


@needs_py39
def test_incorrect_token(client: TestClient):

### 获取当前用户数据

使用 `/users/me` 路径的 `GET` 操作。

可以提取如下当前用户数据：

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

<img src="https://fastapi.tiangolo.com/img/tutorial/security/image06.png">

点击小锁图标，注销后，再执行同样的操作，则会得到 HTTP 401 错误：

```JSON

# 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


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

That can then be used like:

```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

!!! note
    🚥 👆 🐍 🕴, & 👆 ⏪ 💭 🌐 🔃 🆎 🔑, 🚶 ⏭ 📃.

## 🎯

➡️ ▶️ ⏮️ 🙅 🖼:

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

🤙 👉 📋 🔢:

```
John Doe
```

🔢 🔨 📄:

* ✊ `first_name` & `last_name`.
* 🗜 🥇 🔤 🔠 1️⃣ ↖ 💼 ⏮️ `title()`.
* <abbr title="Puts them together, as one. With the contents of one after the other.">🔢</abbr> 👫 ⏮️ 🚀 🖕.

    return user_id


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

Que então pode 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

    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