把所有的聊天记录都格式化

src/plugins/PFC/chat_observer.py

@@ -287,7 +287,7 @@ class ChatObserver:
 
         self._running = True
         self._task = asyncio.create_task(self._update_loop())
-        logger.info(f"ChatObserver for {self.stream_id} started")
+        logger.debug(f"ChatObserver for {self.stream_id} started")
 
     def stop(self):
         """停止观察器"""
@@ -296,7 +296,7 @@ class ChatObserver:
         self._update_complete.set()  # 设置完成事件以解除等待
         if self._task:
             self._task.cancel()
-        logger.info(f"ChatObserver for {self.stream_id} stopped")
+        logger.debug(f"ChatObserver for {self.stream_id} stopped")
 
     async def process_chat_history(self, messages: list):
         """处理聊天历史

src/plugins/PFC/pfc.py

@@ -250,15 +250,13 @@ class GoalAnalyzer:
 
     async def analyze_conversation(self, goal, reasoning):
         messages = self.chat_observer.get_cached_messages()
-        chat_history_text = ""
+        chat_history_text = await build_readable_messages(
-        for msg in messages:
+            messages,
-            time_str = datetime.datetime.fromtimestamp(msg["time"]).strftime("%H:%M:%S")
+            replace_bot_name=True,
-            user_info = UserInfo.from_dict(msg.get("user_info", {}))
+            merge_messages=False,
-            sender = user_info.user_nickname or f"用户{user_info.user_id}"
+            timestamp_mode="relative",
-            if sender == self.name:
+            read_mark=0.0,
-                sender = "你说"
+        )
-            chat_history_text += f"{time_str},{sender}:{msg.get('processed_plain_text', '')}\n"
-
         identity_details_only = self.identity_detail_info
         identity_addon = ""
         if isinstance(identity_details_only, str):

src/plugins/PFC/pfc_KnowledgeFetcher.py

@@ -5,6 +5,7 @@ from ..models.utils_model import LLMRequest
 from ...config.config import global_config
 from ..chat.message import Message
 from ..knowledge.knowledge_lib import qa_manager
+from ..utils.chat_message_builder import build_readable_messages
 
 logger = get_module_logger("knowledge_fetcher")
 
@@ -50,10 +51,13 @@ class KnowledgeFetcher:
             Tuple[str, str]: (获取的知识, 知识来源)
         """
         # 构建查询上下文
-        chat_history_text = ""
+        chat_history_text = await build_readable_messages(
-        for msg in chat_history:
+            chat_history,
-            # sender = msg.message_info.user_info.user_nickname or f"用户{msg.message_info.user_info.user_id}"
+            replace_bot_name=True,
-            chat_history_text += f"{msg.detailed_plain_text}\n"
+            merge_messages=False,
+            timestamp_mode="relative",
+            read_mark=0.0,
+        )
 
         # 从记忆中获取相关知识
         related_memory = await HippocampusManager.get_instance().get_memory_from_text(