@lru_cache
def get_settings():
    return config.Settings()


@app.get("/info")
async def info(settings: Annotated[config.Settings, Depends(get_settings)]):
    return {
        "app_name": settings.app_name,
        "admin_email": settings.admin_email,
        "items_per_user": settings.items_per_user,

FESS_JAVA_OPTS="$FESS_JAVA_OPTS -XX:+DisableExplicitGC"

# Ensure UTF-8 encoding by default (e.g. filenames)
FESS_JAVA_OPTS="$FESS_JAVA_OPTS -Dfile.encoding=UTF-8"

# Application Configuration
if [ "x$APP_NAME" = "x" ]; then
  APP_NAME=fess
fi
if [ "x$SEARCH_ENGINE_HOME" = "x" ]; then
  SEARCH_ENGINE_HOME=$FESS_HOME/es
fi
if [ "x$FESS_TEMP_PATH" = "x" ]; then
  FESS_TEMP_PATH=$FESS_HOME/temp
fi

    from docs_src.settings.tutorial001_pv1 import app

    client = TestClient(app)
    response = client.get("/info")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "app_name": "Awesome API",
        "admin_email": "******@****.***",
        "items_per_user": 50,

///

Wenn Sie dann eine Instanz dieser `Settings`-Klasse erstellen (in diesem Fall als `settings`-Objekt), liest Pydantic die Umgebungsvariablen ohne Berücksichtigung der Groß- und Kleinschreibung. Eine Variable `APP_NAME` in Großbuchstaben wird also als Attribut `app_name` gelesen.

///

Portanto, quando você cria uma instância da classe `Settings` (nesse caso, o objeto `settings`), o Pydantic lê as variáveis de ambiente sem diferenciar maiúsculas e minúsculas, por isso, uma variável maiúscula `APP_NAME` será usada para o atributo `app_name`.

Depois ele irá converter e validar os dados. Assim, quando você utilizar aquele objeto `settings`, os dados terão o tipo que você declarou (e.g. `items_per_user` será do tipo `int`).

<resources>
  <string name="app_name">android-test</string>

///

Then, when you create an instance of that `Settings` class (in this case, in the `settings` object), Pydantic will read the environment variables in a case-insensitive way, so, an upper-case variable `APP_NAME` will still be read for the attribute `app_name`.

Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).

### Use the `settings`

    /**
     * {@link EmptyArgumentException}を作成します。
     *
     * @param argName
     *            引数の名前
     * @param messageCode
     *            メッセージコード
     * @param args
     *            引数の配列
     */
    public EmptyArgumentException(final String argName, final String messageCode, final Object[] args) {
        this(argName, messageCode, args, null);
    }

    /**
     * {@link EmptyArgumentException}を作成します。

```

/// tip

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

///

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

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

### ⚙️ `settings`

⤴️ 👆 💪 ⚙️ 🆕 `settings` 🎚 👆 🈸:

```Python hl_lines="18-20"

from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    app_name: str = "Awesome API"
    admin_email: str