LINE_SEPARATOR("line.separator"),

  /** User's account name. */
  USER_NAME("user.name"),

  /** User's home directory. */
  USER_HOME("user.home"),

  /** User's current working directory. */
  USER_DIR("user.dir");

  private final String key;

  StandardSystemProperty(String key) {
    this.key = key;
  }

  /** Returns the key used to look up this system property. */

# Bir değişkeni str olarak belirt
# ve fonksiyon içinde editör desteği al
def main(user_id: str):
    return user_id


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

Sonra şöyle kullanabilirsiniz:

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

second_user_data = {
    "id": 4,
    "name": "Mary",

Örneğin, 4 API endpoint'iniz (*path operation*) olduğunu varsayalım:

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

O zaman her biri için farklı izin gereksinimlerini yalnızca dependency'ler ve alt dependency'lerle ekleyebilirsiniz:

```mermaid
graph TB

current_user(["current_user"])

#### 用另一个模型的内容生成 Pydantic 模型 { #a-pydantic-model-from-the-contents-of-another }

上例中 ，从 `user_in.model_dump()` 中得到了 `user_dict`，下面的代码：

```Python
user_dict = user_in.model_dump()
UserInDB(**user_dict)
```

等效于：

```Python
UserInDB(**user_in.model_dump())
```

...因为 `user_in.model_dump()` 是 `dict`，在传递给 `UserInDB` 时，把 `**` 加在 `user_in.model_dump()` 前，可以让 Python 进行解包。

这样，就可以用其它 Pydantic 模型中的数据生成 Pydantic 模型。

## Получить пользователя { #get-the-user }

`get_current_user` будет использовать созданную нами (ненастоящую) служебную функцию, которая принимает токен типа `str` и возвращает нашу Pydantic-модель `User`:

{* ../../docs_src/security/tutorial002_an_py310.py hl[19:22,26:27] *}

## Внедрить текущего пользователя { #inject-the-current-user }

		accessKey, secretKey := mustGenerateCredentials(c)
		err = s.adm.SetUser(ctx, accessKey, secretKey, madmin.AccountEnabled)
		if err != nil {
			c.Fatalf("Unable to set user: %v", err)
		}

		userReq := madmin.PolicyAssociationReq{
			Policies: []string{policy},
			User:     accessKey,
		}
		if _, err := s.adm.AttachPolicy(ctx, userReq); err != nil {
			c.Fatalf("Unable to attach policy: %v", err)
		}

Por exemplo, vamos supor que você possua 4 endpoints na sua API (*operações de rota*):

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

Você poderia adicionar diferentes requisitos de permissão para cada um deles utilizando apenas dependências e sub-dependências:

```mermaid
graph TB

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

你可以仅通过依赖项及其子依赖项为它们添加不同的权限要求：

```mermaid
graph TB

current_user(["current_user"])
active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]
pro_items["/items/pro/"]

          <systemPropertyVariables>
            <maven.home>${basedir}/src/test/resources/mavenHome</maven.home>
            <userHome>${basedir}/src/test/resources/userHome</userHome>
            <userDir>${basedir}/src/test/resources/userDir</userDir>
          </systemPropertyVariables>
        </configuration>
      </plugin>
    </plugins>
  </build>

# Объявляем параметр как `str`
# и получаем поддержку редактора кода внутри функции
def main(user_id: str):
    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",