from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


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

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


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

```JSON hl_lines="2"
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    }
}
```

au lieu de :

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

## Récapitulatif { #recap }

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


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

Jedes Event ist ein kleiner Textblock mit „Feldern“ wie `data`, `event`, `id` und `retry`, getrennt durch Leerzeilen.

Das sieht so aus:

```
data: {"name": "Portal Gun", "price": 999.99}

data: {"name": "Plumbus", "price": 32.99}

```

SSE wird häufig für KI-Chat-Streaming, Live-Benachrichtigungen, Logs und Observability sowie andere Fälle verwendet, in denen der Server Updates an den Client pusht.

/// tip | Tipp

Cada evento é um pequeno bloco de texto com “campos” como `data`, `event`, `id` e `retry`, separados por linhas em branco.

Fica assim:

```
data: {"name": "Portal Gun", "price": 999.99}

data: {"name": "Plumbus", "price": 32.99}

```

SSE é comumente usado para streaming de chat de IA, notificações em tempo real, logs e observabilidade, e outros casos em que o servidor envia atualizações para o cliente.

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


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

///

/// info

OpenAPI 3.1.0 (utilisé depuis FastAPI 0.99.0) a ajouté la prise en charge de `examples`, qui fait partie du standard **JSON Schema**.

    "authorInfo": {
        "name": "Agatha Christie",
        "yearRange": [1890, 1976],
        "penName": "Mary Westmacott"
    },
    "genre": "Crime novel",
    "publicationHistory": [
        {
            "year": 1934,
            "publisher": "Collins Crime Club (London)",
            "type": "Hardcover",
            "pages": 256
        },
        {
            "year": 1934,

```JSON hl_lines="2"
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    }
}
```

다음 대신에:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

## 정리 { #recap }

요청은 본문을 하나만 가질 수 있지만, *경로 처리 함수*에 다중 본문 매개변수를 추가할 수 있습니다.