Dans cet exemple, elle convertirait le modèle Pydantic en `dict`, et le `datetime` en `str`.

Le résultat de son appel est quelque chose qui peut être encodé avec la fonction standard de Python [`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps).

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

O resultado de chamar a função é algo que pode ser codificado com o padrão do Python [`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps).

from inline_snapshot import snapshot

app = FastAPI()


def get_header(*, someheader: str = Header()):
    return someheader


def get_something_else(*, someheader: str = Depends(get_header)):
    return f"{someheader}123"


@app.get("/")
def get_deps(dep1: str = Depends(get_header), dep2: str = Depends(get_something_else)):
    return {"dep1": dep1, "dep2": dep2}


client = TestClient(app)

```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+ nicht annotiert

/// tip | Tipp

Bevorzugen Sie die `Annotated`-Version, falls möglich.

///

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

from pydantic import BaseModel


class DataInput(BaseModel):
    description: str
    data: bytes

    model_config = {"val_json_bytes": "base64"}


class DataOutput(BaseModel):
    description: str
    data: bytes

    model_config = {"ser_json_bytes": "base64"}


class DataInputOutput(BaseModel):
    description: str
    data: bytes

    model_config = {
        "val_json_bytes": "base64",

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

## Отримати користувача { #get-the-user }

`get_current_user` використає (фальшиву) утилітну функцію, яку ми створили, що приймає `token` як `str` і повертає нашу Pydantic-модель `User`:

from pydantic import BaseModel

app = FastAPI()


class JsonApiResponse(JSONResponse):
    media_type = "application/vnd.api+json"


class Error(BaseModel):
    status: str
    title: str


class JsonApiError(BaseModel):
    errors: list[Error]


@app.get(
    "/a",
    response_class=Response,
    responses={500: {"description": "Error", "model": JsonApiError}},
)

from fastapi.testclient import TestClient

app = FastAPI()


@app.get("/query")
def read_query(q: str | None):
    return q


@app.get("/explicit-query")
def read_explicit_query(q: str | None = Query()):
    return q


@app.post("/body-embed")
def send_body_embed(b: str | None = Body(embed=True)):
    return b


client = TestClient(app)


def test_required_nonable_query_invalid():

from pydantic import BaseModel

app = FastAPI()


class JsonApiResponse(JSONResponse):
    media_type = "application/vnd.api+json"


class Error(BaseModel):
    status: str
    title: str


class JsonApiError(BaseModel):
    errors: list[Error]


@app.get(
    "/a",
    status_code=204,
    response_class=JsonApiResponse,

```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+ Annotated olmayan

/// tip | İpucu

Mümkünse `Annotated` sürümünü tercih edin.

///

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