{* ../../docs_src/settings/app03_an_py39/main.py hl[1,11] *}

Em qualquer chamada subsequente de `get_settings()` nas dependências das próximas requisições, em vez de executar o código interno de `get_settings()` e criar um novo objeto `Settings`, ele retornará o mesmo objeto que foi retornado na primeira chamada, repetidamente.

#### Detalhes Técnicos do `lru_cache` { #lru-cache-technical-details }

from typing import Annotated

from fastapi import Depends, FastAPI

from .config import Settings

app = FastAPI()


@lru_cache
def get_settings():
    return Settings()


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

{* ../../docs_src/settings/app03_an_py39/main.py hl[1,11] *}

Затем при любых последующих вызовах `get_settings()` в зависимостях для следующих запросов, вместо выполнения внутреннего кода `get_settings()` и создания нового объекта `Settings`, будет возвращаться тот же объект, что был возвращен при первом вызове, снова и снова.

#### Технические детали `lru_cache` { #lru-cache-technical-details }

{* ../../docs_src/settings/app03_an_py39/main.py hl[1,11] *}

Dann wird bei allen nachfolgenden Aufrufen von `get_settings()`, in den Abhängigkeiten für darauffolgende Requests, dasselbe Objekt zurückgegeben, das beim ersten Aufruf zurückgegeben wurde, anstatt den Code von `get_settings()` erneut auszuführen und ein neues `Settings`-Objekt zu erstellen.

#### Technische Details zu `lru_cache` { #lru-cache-technical-details }

{* ../../docs_src/settings/app03_an_py39/main.py hl[1,11] *}

Entonces, para cualquier llamada subsiguiente de `get_settings()` en las dependencias de los próximos requests, en lugar de ejecutar el código interno de `get_settings()` y crear un nuevo objeto `Settings`, devolverá el mismo objeto que fue devuelto en la primera llamada, una y otra vez.

{* ../../docs_src/settings/app03_an_py39/main.py hl[1,11] *}

Then for any subsequent call of `get_settings()` in the dependencies for the next requests, instead of executing the internal code of `get_settings()` and creating a new `Settings` object, it will return the same object that was returned on the first call, again and again.

#### `lru_cache` Technical Details { #lru-cache-technical-details }

如果依赖项函数只是这样的：

```Python
def get_settings():
    return Settings()
```

我们将为每个请求创建该对象，并且将在每个请求中读取 `.env` 文件。 ⚠️

但是，由于我们在顶部使用了 `@lru_cache` 装饰器，因此只有在第一次调用它时，才会创建 `Settings` 对象一次。 ✔️

{* ../../docs_src/settings/app03_an_py39/main.py hl[1,11] *}

然后，在下一次请求的依赖项中对 `get_settings()` 进行任何后续调用时，它不会执行 `get_settings()` 的内部代码并创建新的 `Settings` 对象，而是返回在第一次调用时返回的相同对象，一次又一次。

    return test_main_mod


def test_settings(main_mod: ModuleType, monkeypatch: MonkeyPatch):
    monkeypatch.setenv("ADMIN_EMAIL", "******@****.***")
    settings = main_mod.get_settings()
    assert settings.app_name == "Awesome API"
    assert settings.items_per_user == 50


def test_override_settings(test_main_mod: ModuleType):

    return main_mod


def test_settings(main_mod: ModuleType, monkeypatch: MonkeyPatch):
    monkeypatch.setenv("ADMIN_EMAIL", "******@****.***")
    settings = main_mod.get_settings()
    assert settings.app_name == "Awesome API"
    assert settings.admin_email == "******@****.***"
    assert settings.items_per_user == 50


def test_endpoint(main_mod: ModuleType, monkeypatch: MonkeyPatch):

    taskRunner.newQueue().execute(name = connectionName, block = readerRunnable)
  }

  /** Merges [settings] into this peer's settings and sends them to the remote peer. */
  @Throws(IOException::class)
  fun setSettings(settings: Settings) {
    writer.withLock {
      withLock {
        if (isShutdown) {
          throw ConnectionShutdownException()
        }
        okHttpSettings.merge(settings)
      }