Si vous l'exécutez et allez à [http://localhost:8000/v1/](http://localhost:8000/v1/) vous verrez la réponse de Flask :

```txt
Hello, World from Flask!
```

Et si vous allez à [http://localhost:8000/v2](http://localhost:8000/v2) vous verrez la réponse de FastAPI :

```JSON
{
    "message": "Hello World"
}

    "data": "aGVsbG8="
}
```

/// tip | İpucu

`aGVsbG8=` değeri, `hello` kelimesinin base64 encoding'idir.

///

Sonrasında Pydantic base64 string'ini decode eder ve modelin `data` alanında size orijinal bytes'ı verir.

Şöyle bir response alırsınız:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Çıkış Verisi için Pydantic `bytes` { #pydantic-bytes-for-output-data }

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | 팁

`aGVsbG8=`는 `hello`의 base64 인코딩입니다.

///

그러면 Pydantic이 base64 문자열을 디코딩하여 모델의 `data` 필드에 원래 바이트를 제공합니다.

다음과 같은 응답을 받게 됩니다:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## 출력 데이터용 Pydantic `bytes` { #pydantic-bytes-for-output-data }

    "data": "aGVsbG8="
}
```

/// tip | Tipp

`aGVsbG8=` ist die base64-Kodierung von `hello`.

///

Anschließend dekodiert Pydantic den base64-String und stellt Ihnen die ursprünglichen Bytes im Feld `data` des Modells bereit.

Sie erhalten eine Response wie:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` für Ausgabedaten { #pydantic-bytes-for-output-data }

```Python
response = requests.get("http://example.com/some/url")
```

The FastAPI counterpart API *path operation* could look like:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():
    return {"message": "Hello World"}
```

See the similarities in `requests.get(...)` and `@app.get(...)`.

/// check | Inspired **FastAPI** to

* Have a simple and intuitive API.

* Create an empty file `__init__.py`.
* Create a `main.py` file with:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

    ],
    root_path="/api/v1",
    root_path_in_servers=False,
)


@app.get("/app")
def read_main(request: Request):

    "data": "aGVsbG8="
}
```

/// tip | Consejo

`aGVsbG8=` es la codificación base64 de `hello`.

///

Y luego Pydantic decodificará el string base64 y te dará los bytes originales en el campo `data` del modelo.

Recibirás una response como:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` para datos de salida { #pydantic-bytes-for-output-data }

from fastapi import FastAPI, Request

app = FastAPI(root_path="/api/v1")


@app.get("/app")
def read_main(request: Request):

from .main import app

client = TestClient(app)


def test_read_main():
    response = client.get("/")
    assert response.status_code == 200