from fastapi.openapi.models import SecurityBase as SecurityBaseModel


class SecurityBase:
    model: SecurityBaseModel

```Python
from datetime import date

from pydantic import BaseModel

# Déclarez une variable comme étant une str
# et profitez de l'aide de l'éditeur dans cette fonction
def main(user_id: str):
    return user_id


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

Qui peuvent ensuite être utilisés comme ceci :

```Python

def get_items(item_a: str, item_b: int, item_c: float, item_d: bool, item_e: bytes):

    @Override
    public List<Character> create(Character[] elements) {
      char[] chars = Chars.toArray(asList(elements));
      StringBuilder str = new StringBuilder();
      str.append(chars);
      return charactersOf(str);
    }
  }

  public static class UnhashableElementsImmutableListGenerator
      extends TestUnhashableCollectionGenerator<List<UnhashableObject>>

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(user_agent: str | None = Header(default=None)):

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: list[str] | None = Query(default=None)):
    query_items = {"q": q}

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(x_token: list[str] | None = Header(default=None)):

{* ../../docs_src/security/tutorial002_an_py310.py hl[25] *}

## Récupérer l'utilisateur { #get-the-user }

`get_current_user` utilisera une fonction utilitaire (factice) que nous avons créée, qui prend un token en `str` et retourne notre modèle Pydantic `User` :

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.10+ 비 Annotated

/// tip | 팁

가능하다면 `Annotated` 버전을 사용하는 것을 권장합니다.

///

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.10+ 未使用 Annotated

/// tip

若可行，建議使用 `Annotated` 的版本。

///

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```