~~ KIND, either express or implied.  See the License for the
~~ specific language governing permissions and limitations
~~ under the License.

  ---
  Offline Mode Design
  ---
  John Casey
  ---
  2005-04-08
  ---

Offline Mode Design

* UPDATE: 18-April-2005

  We cannot take the approach outlined below of detecting which remote

      <name>Brett Porter</name>
      <id>brett</id>
      <email>******@****.***</email>
      <roles>
        <role>Developer</role>
      </roles>
    </developer>
    <developer>
      <name>John Casey</name>
      <id>jdcasey</id>
      <email>******@****.***</email>
      <roles>
        <role>Developer</role>
      </roles>
    </developer>
    <developer>
      <name>Andrew Williams</name>

    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

## Motivation

Let's start with a simple example:

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

Calling this program outputs:

```
John Doe
```

The function does the following:

* Takes a `first_name` and `last_name`.
* Converts the first letter of each one to upper case with `title()`.

    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

      <name>Brett Porter</name>
      <id>brett</id>
      <email>******@****.***</email>
      <roles>
        <role>Developer</role>
      </roles>
    </developer>
    <developer>
      <name>John Casey</name>
      <id>jdcasey</id>
      <email>******@****.***</email>
      <roles>
        <role>Developer</role>
      </roles>
    </developer>
    <developer>
      <name>Andrew Williams</name>

      <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>

    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

!!! 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> 👫 ⏮️ 🚀 🖕.