from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Image(BaseModel):
    url: str
    name: str


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: Set[str] = set()
    image: Union[Image, None] = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

def test_path_operation_img():
    shutil.copy("./docs/en/docs/img/favicon.png", "./image.png")
    response = client.get("/items/foo?img=1")
    assert response.status_code == 200, response.text
    assert response.headers["Content-Type"] == "image/png"
    assert len(response.content)
    os.remove("./image.png")


def test_openapi_schema():
    response = client.get("/openapi.json")

Si vous utilisez Docker, vous pouvez utiliser l'image Docker officielle :

## <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()
    images: list[Image] | None = None


class Offer(BaseModel):
    name: str
    description: str | None = None

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: Set[str] = set()
    images: Union[List[Image], None] = None


@app.put("/items/{item_id}")

## Bodys aus reinen Listen

Wenn Sie möchten, dass das äußerste Element des JSON-Bodys ein JSON-`array` (eine Python-`list`e) ist, können Sie den Typ im Funktionsparameter deklarieren, mit der gleichen Syntax wie in Pydantic-Modellen:

```Python
images: List[Image]
```

oder in Python 3.9 und darüber:

```Python

Par exemple, vous pouvez ajouter un type de média supplémentaire `image/png`, en déclarant que votre *opération de chemin* peut renvoyer un objet JSON (avec le type de média `application/json`) ou une image PNG :

```Python hl_lines="19-24 28"
{!../../../docs_src/additional_responses/tutorial002.py!}
```

!!! note "Remarque"
    Notez que vous devez retourner l'image en utilisant directement un `FileResponse`.

!!! info

## Тела с чистыми списками элементов

Если верхний уровень значения тела JSON-объекта представляет собой JSON `array` (в Python - `list`), вы можете объявить тип в параметре функции, так же, как в моделях Pydantic:

```Python
images: List[Image]
```

в Python 3.9 и выше:

```Python
images: list[Image]
```

например так:

author: "Sebastián Ramírez <******@****.***>"
inputs:
  token:
    description: 'User token, to read the GitHub API. Can be passed in using {{ secrets.FASTAPI_PEOPLE }}'
    required: true
runs:
  using: 'docker'

  og:description: *page_description
  og:image: "{{ image.url }}"
  og:image:type: "{{ image.type }}"
  og:image:width: "{{ image.width }}"
  og:image:height: "{{ image.height }}"
  og:url: "{{ page.canonical_url }}"

  # Twitter
  twitter:card: summary_large_image
  twitter.title: *page_title_with_site_name
  twitter:description: *page_description
  twitter:image: "{{ image.url }}"