```

!!! 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"
    {!> ../../../docs_src/sql_databases/sql_app_py310/schemas.py!}

APP_NAME="ChimichangApp"
```

### ✍ ⚒ ⚪️➡️ `.env`

& ⤴️ ℹ 👆 `config.py` ⏮️:

```Python hl_lines="9-10"
{!../../../docs_src/settings/app03/config.py!}
```

📥 👥 ✍ 🎓 `Config` 🔘 👆 Pydantic `Settings` 🎓, & ⚒ `env_file` 📁 ⏮️ 🇨🇻 📁 👥 💚 ⚙️.

!!! tip
     `Config` 🎓 ⚙️ Pydantic 📳. 👆 💪 ✍ 🌖 <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic 🏷 📁</a>

    github_sponsors_path.write_text(new_github_sponsors_content, encoding="utf-8")
    logging.info("Setting up GitHub Actions git user")
    subprocess.run(["git", "config", "user.name", "github-actions"], check=True)
    subprocess.run(
        ["git", "config", "user.email", "******@****.***"], check=True
    )
    branch_name = "fastapi-people"
    logging.info(f"Creating a new branch {branch_name}")

### ⚙️ 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"

Вы можете объявлять примеры данных, которые ваше приложение может получать.

Вот несколько способов, как это можно сделать.

## Pydantic `schema_extra`

Вы можете объявить ключ `example` для модели Pydantic, используя класс `Config` и переменную `schema_extra`, как описано в <a href="https://docs.pydantic.dev/latest/concepts/json_schema/#schema-customization" class="external-link" target="_blank">Pydantic документации: Настройка схемы</a>:

=== "Python 3.10+"

Se você precisa refrescar a memória rapidamente sobre como usar tipos do Python (mesmo que você não use o FastAPI), confira esse rápido tutorial: [Tipos do Python](python-types.md){.internal-link target=_blank}.

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

    {!> ../../../docs_src/settings/app03_an/config_pv1.py!}
    ```

    !!! tip
        The `Config` class is used just for Pydantic configuration. You can read more at <a href="https://docs.pydantic.dev/1.10/usage/model_config/" class="external-link" target="_blank">Pydantic Model Config</a>.

!!! info

### 从 `.env` 文件中读取设置

然后，您可以使用以下方式更新您的 `config.py`：

```Python hl_lines="9-10"
{!../../../docs_src/settings/app03/config.py!}
```

在这里，我们在 Pydantic 的 `Settings` 类中创建了一个名为 `Config` 的类，并将 `env_file` 设置为我们想要使用的 dotenv 文件的文件名。

!!! tip
    `Config` 类仅用于 Pydantic 配置。您可以在<a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic Model Config</a>中阅读更多相关信息。

### Use Pydantic's `orm_mode`

Now, in the Pydantic *models* for reading, `Item` and `User`, add an internal `Config` class.

This <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">`Config`</a> class is used to provide configurations to Pydantic.

In the `Config` class, set the attribute `orm_mode = True`.

=== "Python 3.10+"

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