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


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

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
    tags: list[str] = []


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

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
    tags: set[str] = set()


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

- 2 つの対話的なドキュメントのWebインターフェイスを直接提供します。

---

まだ表面的な部分に触れただけですが、もう全ての仕組みは分かっているはずです。

以下の行を変更してみてください:

```Python
    return {"item_name": item.name, "item_id": item_id}
```

...以下を:

```Python
        ... "item_name": item.name ...
```

...以下のように:

```Python
        ... "item_price": item.price ...
```

...そして、エディタが属性を自動補完し、そのタイプを知る方法を確認してください。:

<div class="wrapper">
    <jsp:include page="/WEB-INF/view/common/admin/header.jsp"></jsp:include>
    <jsp:include page="/WEB-INF/view/common/admin/sidebar.jsp">
        <jsp:param name="menuCategoryType" value="system"/>
        <jsp:param name="menuType" value="dict"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">

    protected void assertSpecifyPurpose() {
    }

    public static class HpSpecification {
        protected List<String> columnList = new ArrayList<>();

        public void doColumn(String name) {
            columnList.add(name);
        }

        public void columnId() {
            doColumn("_id");
        }

        public void columnAuthRealm() {
            doColumn("authRealm");
        }

    private static final int BUFFER_SIZE = 512;
    private static final int DEFAULT_SO_TIMEOUT = 5000;

    private static LogStream log = LogStream.getInstance();

    private NbtAddress address;
    private Name calledName;
    private int soTimeout;

    public NbtSocket() {
        super();
    }
    public NbtSocket( NbtAddress address, int port ) throws IOException {
        this( address, port, null, 0 );
    }

//// tab | Python 3.8+

```Python hl_lines="31  37"
{!> ../../docs_src/response_model/tutorial005.py!}
```

////

/// tip | "Tipp"

Die Syntax `{"name", "description"}` erzeugt ein `set` mit diesen zwei Werten.

Äquivalent zu `set(["name", "description"])`.

///

#### `list`en statt `set`s verwenden

Мы только немного копнули поверхность, но вы уже поняли, как все это работает.

Попробуйте изменить строку с помощью:

```Python
    return {"item_name": item.name, "item_id": item_id}
```

...из:

```Python
        ... "item_name": item.name ...
```

...в:

```Python
        ... "item_price": item.price ...
```

      headersOf(
        "Content-Disposition",
        "form-data; name=\"color\"",
      ),
    )
    assertThat(brownPart.body.readUtf8()).isEqualTo("Brown")

    val foxPart = reader.nextPart()!!
    assertThat(foxPart.headers).isEqualTo(
      headersOf(
        "Content-Disposition",
        "form-data; name=\"animal\"; filename=\"fox.txt\"",
      ),
    )