assertEquals("favorite", favoriteEvent.getEventType());

        // Test user_info event type
        TestSearchLogEvent userInfoEvent = new TestSearchLogEvent("id", 1L, "user_info");
        assertEquals("user_info", userInfoEvent.getEventType());

        // Test event type change
        searchEvent.setEventType("updated_type");

                                            <la:option value="click"><la:message key="labels.searchlog_log_type_click"/></la:option>
                                            <la:option value="user_info"><la:message
                                                    key="labels.searchlog_log_type_user_info"/></la:option>
                                            <la:option value="favorite"><la:message

		</postConstruct>
		<postConstruct name="addIndexConfig">
			<arg>"fess_log.search_log/search_log"</arg>
		</postConstruct>
		<postConstruct name="addIndexConfig">
			<arg>"fess_log.user_info/user_info"</arg>
		</postConstruct>
		<postConstruct name="addIndexConfig">
			<arg>"fess_log.notification_queue/notification_queue"</arg>
		</postConstruct>
	</component>

    // User and Authentication Constants
    // ============================================================

    /** User information session key. */
    public static final String USER_INFO = "LoginInfo";

    /** Search engine API access token key. */
    public static final String SEARCH_ENGINE_API_ACCESS_TOKEN = "searchEngineApiAccessToken";

    /** Default field name identifier. */

index.backup.targets=fess_basic_config.bulk,fess_config.bulk,fess_user.bulk,system.properties,fess.json,doc.json
# Target log files for index backup.
index.backup.log.targets=click_log.ndjson,favorite_log.ndjson,search_log.ndjson,user_info.ndjson
# Timeout for loading index backup logs.
index.backup.log.load.timeout=60000

# logging

# Application packages for logging.
logging.app.packages=org.codelibs,org.dbflute,org.lastaflute

    String INDEX_BACKUP_TARGETS = "index.backup.targets";

    /** The key of the configuration. e.g. click_log.ndjson,favorite_log.ndjson,search_log.ndjson,user_info.ndjson */
    String INDEX_BACKUP_LOG_TARGETS = "index.backup.log.targets";

    /** The key of the configuration. e.g. 60000 */
    String INDEX_BACKUP_LOG_LOAD_TIMEOUT = "index.backup.log.load.timeout";

                    searchLog.getUserInfo().ifPresent(userInfo -> {
                        final String code = userInfo.getId();
                        final UserInfo oldUserInfo = userInfoMap.get(code);
                        if (oldUserInfo != null) {
                            userInfo.setCreatedAt(oldUserInfo.getCreatedAt());
                        }
                        userInfoMap.put(code, userInfo);
                    });

### Acerca de `**user_in.model_dump()` { #about-user-in-model-dump }

#### `.model_dump()` de Pydantic { #pydantics-model-dump }

`user_in` es un modelo Pydantic de la clase `UserIn`.

Los modelos Pydantic tienen un método `.model_dump()` que devuelve un `dict` con los datos del modelo.

Así que, si creamos un objeto Pydantic `user_in` como:

```Python

### Про `**user_in.model_dump()` { #about-user-in-model-dump }

#### `.model_dump()` у Pydantic { #pydantics-model-dump }

`user_in` - це модель Pydantic класу `UserIn`.

Моделі Pydantic мають метод `.model_dump()`, який повертає `dict` з даними моделі.

Отже, якщо ми створимо об’єкт Pydantic `user_in` так:

```Python

Yukarıdaki örnekte `user_dict`'i `user_in.model_dump()` ile elde ettiğimiz için, şu kod:

```Python
user_dict = user_in.model_dump()
UserInDB(**user_dict)
```

şuna eşdeğerdir:

```Python
UserInDB(**user_in.model_dump())
```