```JSON
{
  "title": "towel",
  "size": "XL"
}
```

You will receive a response telling you that the data is invalid containing the received body:

```JSON hl_lines="12-15"
{
  "detail": [
    {
      "loc": [
        "body",
        "size"
      ],
      "msg": "value is not a valid integer",
      "type": "type_error.integer"
    }
  ],

```JSON
{
  "title": "towel",
  "size": "XL"
}
```

Sie erhalten eine Response, die Ihnen sagt, dass die Daten ungültig sind und die den empfangenen Body enthält:

```JSON hl_lines="12-15"
{
  "detail": [
    {
      "loc": [
        "body",
        "size"
      ],
      "msg": "value is not a valid integer",
      "type": "type_error.integer"
    }
  ],

```

<details markdown="1">
<summary>Или используйте <code>async def</code>...</summary>

Если ваш код использует `async` / `await`, используйте `async def`:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():
    return {"Hello": "World"}


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

    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>Or use <code>async def</code>...</summary>

If your code uses `async` / `await`, use `async def`:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():
    return {"Hello": "World"}


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

* `--reload` : l'option disant à uvicorn de redémarrer le serveur à chaque changement du code. À ne pas utiliser en production !

///

Vous devriez voir dans la console, une ligne semblable à la suivante :

```hl_lines="4"
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

Cette ligne montre l'URL par laquelle l'app est actuellement accessible, sur votre machine locale.

### Allez voir le résultat

```JSON
{
  "title": "towel",
  "size": "XL"
}
```

Você receberá uma *response* informando-o de que os dados são inválidos, e contendo o *body* recebido:

```JSON hl_lines="12-15"
{
  "detail": [
    {
      "loc": [
        "body",
        "size"
      ],
      "msg": "value is not a valid integer",
      "type": "type_error.integer"
    }
  ],

```JSON
{
  "title": "towel",
  "size": "XL"
}
```

Recibirás un response que te dirá que los datos son inválidos conteniendo el body recibido:

```JSON hl_lines="12-15"
{
  "detail": [
    {
      "loc": [
        "body",
        "size"
      ],
      "msg": "value is not a valid integer",
      "type": "type_error.integer"
    }
  ],

## 带有一组子模型的属性

你还可以将 Pydantic 模型用作 `list`、`set` 等的子类型：

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

这将期望（转换，校验，记录文档等）下面这样的 JSON 请求体：

```JSON hl_lines="11"
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": [
        "rock",
        "metal",
        "bar"
    ],
    "images": [

<font color="#4E9A06">INFO</font>:     Waiting for application startup.
<font color="#4E9A06">INFO</font>:     Application startup complete.
```

</div>

У консолі буде рядок приблизно такого змісту:

```hl_lines="4"
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

Цей рядок показує URL, за яким додаток запускається на вашій локальній машині.

### Перевірте

{* ../../docs_src/handling_errors/tutorial005.py hl[14] *}

现在试着发送一个无效的 `item`，例如：

```JSON
{
  "title": "towel",
  "size": "XL"
}

```

收到的响应包含 `body` 信息，并说明数据是无效的：

```JSON hl_lines="12-15"
{
  "detail": [
    {
      "loc": [
        "body",
        "size"
      ],
      "msg": "value is not a valid integer",
      "type": "type_error.integer"
    }
  ],