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):

## Offizielles Docker-Image mit Gunicorn – Uvicorn

Es gibt ein offizielles Docker-Image, in dem Gunicorn mit Uvicorn-Workern ausgeführt wird, wie in einem vorherigen Kapitel beschrieben: [Serverworker – Gunicorn mit Uvicorn](server-workers.md){.internal-link target=_blank}.

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()
    image: Image | None = None


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

    runs-on: ubuntu-latest

    services:
      openldap:
        image: quay.io/minio/openldap
        ports:
          - "389:389"
          - "636:636"
        env:
          LDAP_ORGANIZATION: "MinIO Inc"
          LDAP_DOMAIN: "min.io"
          LDAP_ADMIN_PASSWORD: "admin"
      etcd:
        image: "quay.io/coreos/etcd:v3.5.1"
        env:
          ETCD_LISTEN_CLIENT_URLS: "http://0.0.0.0:2379"

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()
    image: Union[Image, None] = None


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

        track: stable
    spec:
      containers:
      - image: fake.docker.io/google-samples/hello-go-gke:1.0
        name: hello
        ports:
        - containerPort: 80
          name: http
        resources: {}
      - image: docker.io/istio/proxy_debug:unittest
        name: istio-proxy
        resources: {}
      initContainers:
      - image: docker.io/istio/proxy_init:unittest-test
        name: istio-init

        track: stable
    spec:
      containers:
      - image: fake.docker.io/google-samples/hello-go-gke:1.0
        name: hello
        ports:
        - containerPort: 80
          name: http
        resources: {}
      - image: docker.io/istio/proxy_debug:unittest
        name: istio-proxy
        resources: {}
      initContainers:
      - image: docker.io/istio/proxy_init:unittest-testiop
        name: istio-init

                <access kind="email"></access>
                <access kind="url">http://www.taro.com/</access>
                <image file="taro.png" />
        </item>
        <item sex="male" custid="B23456">
                <name>佐藤二朗</name>
                <access kind="email">******@****.***</access>
                <image file="jiro.png" />
        </item>
        <item sex="female" custid="C34567">
                <name>田中花子</name>

///

## 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

      file.name.endsWith(".css") -> "text/css"
      file.name.endsWith(".gif") -> "image/gif"
      file.name.endsWith(".html") -> "text/html"
      file.name.endsWith(".jpeg") -> "image/jpeg"
      file.name.endsWith(".jpg") -> "image/jpeg"
      file.name.endsWith(".js") -> "application/javascript"
      file.name.endsWith(".png") -> "image/png"
      else -> "text/plain"
    }
  }

  companion object {