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

↩️:

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

## 🌃

👆 💪 🚮 💗 💪 🔢 👆 *➡ 🛠️ 🔢*, ✋️ 📨 💪 🕴 ✔️ 👁 💪.

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

以下の代わりに:

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

## まとめ

リクエストが単一のボディしか持てない場合でも、*path operation関数*に複数のボディパラメータを追加することができます。

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

这些值将包含在响应中。

#### 具有与默认值相同值的数据

如果数据具有与默认值相同的值，例如 ID 为 `baz` 的项：

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

from docs_src.path_operation_configuration.tutorial006 import app

client = TestClient(app)


@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [
        ("/items/", 200, [{"name": "Foo", "price": 42}]),
        ("/users/", 200, [{"username": "johndoe"}]),
        ("/elements/", 200, [{"item_id": "Foo"}]),
    ],
)
def test_query_params_str_validations(path, expected_status, expected_response):

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

instead of:

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

## Recap

```Python hl_lines="3 5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

それらはレスポンスに含まれます。

#### デフォルト値と同じ値を持つデータ

ID`baz`のitemのようにデフォルト値と同じ値を持つデータの場合:

```Python hl_lines="3 5 6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

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

...z:

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

...na:

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

...i zobacz jak edytor kodu automatycznie uzupełni atrybuty i będzie znał ich typy:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

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

...из:

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

...в:

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

... и посмотрите, как ваш редактор будет автоматически заполнять атрибуты и узнавать их типы:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

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

...da:

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

...a:

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

...e osserva come il tuo editor di testo autocompleterà gli attributi e sarà in grado di riconoscere i loro tipi:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

from fastapi import FastAPI
from pydantic import BaseModel


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


app = FastAPI()


@app.post("/items/")
async def create_item(item: Item):