```Python hl_lines="2  5-8  11"
{!../../../docs_src/settings/tutorial001.py!}
```

!!! tip
    🚥 👆 💚 🕳 ⏩ 📁 & 📋, 🚫 ⚙️ 👉 🖼, ⚙️ 🏁 1️⃣ 🔛.

⤴️, 🕐❔ 👆 ✍ 👐 👈 `Settings` 🎓 (👉 💼, `settings` 🎚), Pydantic 🔜 ✍ 🌐 🔢 💼-😛 🌌,, ↖-💼 🔢 `APP_NAME` 🔜 ✍ 🔢 `app_name`.

⏭ ⚫️ 🔜 🗜 & ✔ 💽. , 🕐❔ 👆 ⚙️ 👈 `settings` 🎚, 👆 🔜 ✔️ 📊 🆎 👆 📣 (✅ `items_per_user` 🔜 `int`).

### ⚙️ `settings`

⤴️ 👆 💪 ⚙️ 🆕 `settings` 🎚 👆 🈸:

```Python hl_lines="10"
{!../../../docs_src/settings/app02/config.py!}
```

Beachten Sie, dass wir jetzt keine Standardinstanz `settings = Settings()` erstellen.

### Die Haupt-Anwendungsdatei

Jetzt erstellen wir eine Abhängigkeit, die ein neues `config.Settings()` zurückgibt.

=== "Python 3.9+"

    ```Python hl_lines="6  12-13"
    {!> ../../../docs_src/settings/app02_an_py39/main.py!}
    ```

## Pydantic `Settings`

Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

### Install `pydantic-settings`

First, install the `pydantic-settings` package:

<div class="termy">

```console

```Python hl_lines="2  5-8  11"
{!../../../docs_src/settings/tutorial001.py!}
```

!!! tip
    如果您需要一个快速的复制粘贴示例，请不要使用此示例，而应使用下面的最后一个示例。

然后，当您创建该 `Settings` 类的实例（在此示例中是 `settings` 对象）时，Pydantic 将以不区分大小写的方式读取环境变量，因此，大写的变量 `APP_NAME` 仍将为属性 `app_name` 读取。

然后，它将转换和验证数据。因此，当您使用该 `settings` 对象时，您将获得您声明的类型的数据（例如 `items_per_user` 将为 `int` 类型）。

### 使用 `settings`

然后，您可以在应用程序中使用新的 `settings` 对象：

```Python hl_lines="18-20"

## Conditional OpenAPI from settings and env vars

You can easily use the same Pydantic settings to configure your generated OpenAPI and the docs UIs.

For example:

```Python hl_lines="6  11"
{!../../../docs_src/conditional_openapi/tutorial001.py!}
```

    "email_validator >=2.0.0",
    # Uvicorn with uvloop
    "uvicorn[standard] >=0.12.0",
    # TODO: this should be part of some pydantic optional extra dependencies
    # # Settings management
    # "pydantic-settings >=2.0.0",
    # # Extra Pydantic data types
    # "pydantic-extra-types >=2.0.0",
]

all = [
    "fastapi-cli >=0.0.2",
    # # For the test client
    "httpx >=0.23.0",

PyGithub
pydantic>=2.5.3,<3.0.0
pydantic-settings>=2.1.0,<3.0.0

    - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) for the Python SQL database interactions (ORM).
    - 🔍 [Pydantic](https://docs.pydantic.dev), used by FastAPI, for the data validation and settings management.
    - 💾 [PostgreSQL](https://www.postgresql.org) as the SQL database.
- 🚀 [React](https://react.dev) for the frontend.
    - 💃 Using TypeScript, hooks, Vite, and other parts of a modern frontend stack.

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email_validator</code></a> - e-mail validációkra.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - Beállítások követésére.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - Extra típusok Pydantic-hoz.

FROM python:3.9

RUN pip install httpx PyGithub "pydantic==2.0.2" pydantic-settings "pyyaml>=5.3.1,<6.0.0"

COPY ./app /app