```

!!! tip
    请注意，读取用户（从 API 返回）时将使用不包括`password`的`User` Pydantic*模型*。

### 使用 Pydantic 的`orm_mode`

现在，在用于查询的 Pydantic*模型*`Item`中`User`，添加一个内部`Config`类。

此类[`Config`](https://docs.pydantic.dev/latest/api/config/)用于为 Pydantic 提供配置。

在`Config`类中，设置属性`orm_mode = True`。

=== "Python 3.10+"

    ```Python hl_lines="13  17-18  29  34-35"

### ⚙️ Pydantic `orm_mode`

🔜, Pydantic *🏷* 👂, `Item` & `User`, 🚮 🔗 `Config` 🎓.

👉 <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">`Config`</a> 🎓 ⚙️ 🚚 📳 Pydantic.

`Config` 🎓, ⚒ 🔢 `orm_mode = True`.

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

    ```Python hl_lines="15  19-20  31  36-37"

* It requires more code and is a bit more complex.
* The middleware has to be an `async` function.
    * If there is code in it that has to "wait" for the network, it could "block" your application there and degrade performance a bit.
    * Although it's probably not very problematic here with the way `SQLAlchemy` works.