refactor(bot): 使用统一方法转换消息为数据库对象，简化代码逻辑

src/chat/replyer/default_generator.py

@@ -32,10 +32,8 @@ from src.common.logger import get_logger
 from src.config.config import global_config, model_config
 from src.individuality.individuality import get_individuality
 from src.llm_models.utils_model import LLMRequest
-from src.mais4u.mai_think import mai_thinking_manager
 
-# 旧记忆系统已被移除
-# 旧记忆系统已被移除
+
 from src.mood.mood_manager import mood_manager
 from src.person_info.person_info import get_person_info_manager
 from src.plugin_system.apis import llm_api
@@ -1161,50 +1159,6 @@ class DefaultReplyer:
 
         return interest_scores
 
-    def build_mai_think_context(
-        self,
-        chat_id: str,
-        memory_block: str,
-        relation_info: str,
-        time_block: str,
-        chat_target_1: str,
-        chat_target_2: str,
-        mood_prompt: str,
-        identity_block: str,
-        sender: str,
-        target: str,
-        chat_info: str,
-    ) -> Any:
-        """构建 mai_think 上下文信息
-
-        Args:
-            chat_id: 聊天ID
-            memory_block: 记忆块内容
-            relation_info: 关系信息
-            time_block: 时间块内容
-            chat_target_1: 聊天目标1
-            chat_target_2: 聊天目标2
-            mood_prompt: 情绪提示
-            identity_block: 身份块内容
-            sender: 发送者名称
-            target: 目标消息内容
-            chat_info: 聊天信息
-
-        Returns:
-            Any: mai_think 实例
-        """
-        mai_think = mai_thinking_manager.get_mai_think(chat_id)
-        mai_think.memory_block = memory_block
-        mai_think.relation_info_block = relation_info
-        mai_think.time_block = time_block
-        mai_think.chat_target = chat_target_1
-        mai_think.chat_target_2 = chat_target_2
-        mai_think.chat_info = chat_info
-        mai_think.mood_state = mood_prompt
-        mai_think.identity = identity_block
-        mai_think.sender = sender
-        mai_think.target = target
-        return mai_think
 
     async def build_prompt_reply_context(
         self,