```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+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

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

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

## 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`:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


class User(BaseModel):
    username: str
    email: str


@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):
    return {"message": "Item received"}

Linux-like paths MSYS uses, for example, Docker.
"""

import argparse
import os


def should_convert(var_name: str,
                   blacklist: list[str] | None,
                   whitelist_prefix: list[str] | None):
  """Check the variable name against white/black lists."""
  if blacklist and var_name in blacklist:
    return False
  if not whitelist_prefix:
    return True

| 매개변수 | 타입 | 설명 |
|----------|------|-------|
| `title` | `str` | API의 제목입니다. |
| `summary` | `str` | API에 대한 짧은 요약입니다. <small>OpenAPI 3.1.0, FastAPI 0.99.0부터 사용 가능.</small> |
| `description` | `str` | API에 대한 짧은 설명입니다. 마크다운을 사용할 수 있습니다. |
| `version` | `string` | API의 버전입니다. OpenAPI의 버전이 아닌, 여러분의 애플리케이션의 버전을 나타냅니다. 예: `2.5.0`. |
| `terms_of_service` | `str` | API 이용 약관의 URL입니다. 제공하는 경우 URL 형식이어야 합니다. |

    ],
    title: Annotated[
        str,
        Doc(
            """
            The HTML `<title>` content, normally shown in the browser tab.

            Read more about it in the
            [FastAPI docs for Custom Docs UI Static Assets](https://fastapi.tiangolo.com/how-to/custom-docs-ui-assets/)
            """
        ),
    ],
    swagger_js_url: Annotated[
        str,
        Doc(
            """

class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):
    id: int


class HeroCreate(HeroBase):
    secret_name: str


class HeroUpdate(HeroBase):
    name: str | None = None

from fastapi import FastAPI
from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    id: str
    value: str


class Message(BaseModel):
    message: str


app = FastAPI()


@app.get(
    "/items/{item_id}",
    response_model=Item,
    responses={
        404: {"model": Message, "description": "The item was not found"},
        200: {

* Conversão de dados
* Validação de dados
* Documentação automática

## Tipos especiais e validação { #special-types-and-validation }

Além dos tipos singulares normais como `str`, `int`, `float`, etc. Você também pode usar tipos singulares mais complexos que herdam de `str`.

Para ver todas as opções possíveis, consulte a [Visão geral dos tipos do Pydantic](https://docs.pydantic.dev/latest/concepts/types/). Você verá alguns exemplos no próximo capítulo.

from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    app_name: str = "Awesome API"
    admin_email: str