{* ../../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] *}

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] *}

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 }

{* ../../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] *}

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。

        final Settings settings = response.getIndexToSettings().get(analyzerSettingsIndexName);
        final Settings analyzerSettings = settings.getAsSettings("index.analysis.analyzer");
        return analyzerSettings.getAsGroups().keySet();
    }

    /**
     * Get field analyzer mapping.
     * @return Field analyzer mapping
     */

            }
            final HttpServletResponse response = LaResponseUtil.getResponse();
            try {
                final Auth auth = new Auth(getSettings(), request, response);
                final Saml2Settings settings = auth.getSettings();
                settings.setSPValidationOnly(true);
                final String metadata = settings.getSPMetadata();

                    value = ReflectionValueExtractor.evaluate(pathExpression, session.getSettings());
                    value = value + expression.substring(pathSeparator);
                } else {
                    value = ReflectionValueExtractor.evaluate(expression, session.getSettings());
                }
            } catch (Exception e) {
                // TODO don't catch exception

        assertTrue(createIndexResponse.isAcknowledged());

        // Create suggest settings index
        Settings suggestIndexSettings = Settings.builder().put("number_of_shards", 1).put("number_of_replicas", 0).build();

        createIndexResponse = client.admin().indices().prepareCreate(SUGGEST_INDEX).setSettings(suggestIndexSettings).execute().actionGet();