fix：优化激活值，优化logger显示

src/think_flow_demo/heartflow.py

@@ -1,4 +1,4 @@
-from .current_mind import SubHeartflow
+from .sub_heartflow import SubHeartflow
 from src.plugins.moods.moods import MoodManager
 from src.plugins.models.utils_model import LLM_request
 from src.plugins.config.config import global_config, BotConfig
@@ -46,7 +46,7 @@ class Heartflow:
         logger.info("麦麦大脑袋转起来了")
         self.current_state.update_current_state_info()
         
-        personality_info = " ".join(BotConfig.PROMPT_PERSONALITY)
+        personality_info = " ".join(global_config.PROMPT_PERSONALITY)
         current_thinking_info = self.current_mind
         mood_info = self.current_state.mood
         related_memory_info = 'memory'

src/think_flow_demo/outer_world.py

@@ -16,6 +16,10 @@ class Talking_info:
         self.observe_times = 0
         self.activate = 360
         
+        self.last_summary_time = int(datetime.now().timestamp())  # 上次更新summary的时间
+        self.summary_count = 0  # 30秒内的更新次数
+        self.max_update_in_30s = 2
+        
         self.oberve_interval = 3
         
         self.llm_summary = LLM_request(
@@ -60,16 +64,22 @@ class Talking_info:
         if len(self.talking_message) > 20:
             self.talking_message = self.talking_message[-20:]  # 只保留最新的20条
         self.translate_message_list_to_str()
-        # print(self.talking_message_str)
         self.observe_times += 1
         self.last_observe_time = new_messages[-1]["time"]
         
-        if self.observe_times > 3:
+        # 检查是否需要更新summary
+        current_time = int(datetime.now().timestamp())
+        if current_time - self.last_summary_time >= 30:  # 如果超过30秒，重置计数
+            self.summary_count = 0
+            self.last_summary_time = current_time
+            
+        if self.summary_count < self.max_update_in_30s:  # 如果30秒内更新次数小于2次
             await self.update_talking_summary()
-            # print(f"更新了聊天总结：{self.talking_summary}")
+            self.summary_count += 1
     
     async def update_talking_summary(self):
         #基于已经有的talking_summary，和新的talking_message，生成一个summary
+        # print(f"更新聊天总结：{self.talking_summary}")
         prompt = ""
         prompt = f"你正在参与一个qq群聊的讨论，这个群之前在聊的内容是：{self.talking_summary}\n"
         prompt += f"现在群里的群友们产生了新的讨论，有了新的发言，具体内容如下：{self.talking_message_str}\n"

src/think_flow_demo/sub_heartflow.py

@@ -6,6 +6,16 @@ from src.plugins.config.config import global_config, BotConfig
 import re
 import time
 from src.plugins.schedule.schedule_generator import bot_schedule
+from src.plugins.memory_system.Hippocampus import HippocampusManager
+from src.common.logger import get_module_logger, LogConfig, SUB_HEARTFLOW_STYLE_CONFIG # noqa: E402
+
+subheartflow_config = LogConfig(
+    # 使用海马体专用样式
+    console_format=SUB_HEARTFLOW_STYLE_CONFIG["console_format"],
+    file_format=SUB_HEARTFLOW_STYLE_CONFIG["file_format"],
+)   
+logger = get_module_logger("subheartflow", config=subheartflow_config)
+
 
 class CuttentState:
     def __init__(self):
@@ -37,7 +47,7 @@ class SubHeartflow:
         if not self.current_mind:
             self.current_mind = "你什么也没想"
             
-        self.personality_info = " ".join(BotConfig.PROMPT_PERSONALITY)
+        self.personality_info = " ".join(global_config.PROMPT_PERSONALITY)
     
     def assign_observe(self,stream_id):
         self.outer_world = outer_world.get_world_by_stream_id(stream_id)
@@ -55,23 +65,42 @@ class SubHeartflow:
                 await asyncio.sleep(60)
     
     async def do_a_thinking(self):
-        print("麦麦小脑袋转起来了")
         self.current_state.update_current_state_info()
         
         current_thinking_info = self.current_mind
         mood_info = self.current_state.mood
-        related_memory_info = ''
+        
         message_stream_info = self.outer_world.talking_summary
-        schedule_info = bot_schedule.get_current_num_task(num = 2,time_info = False)
+        print(f"message_stream_info：{message_stream_info}")
+        
+        related_memory = await HippocampusManager.get_instance().get_memory_from_text(
+            text=message_stream_info,
+            max_memory_num=3,
+            max_memory_length=2,
+            max_depth=3,
+            fast_retrieval=False
+        )
+        # print(f"相关记忆：{related_memory}")
+        if related_memory:
+            related_memory_info = ""
+            for memory in related_memory:
+                related_memory_info += memory[1]
+        else:
+            related_memory_info = ''
+            
+        print(f"相关记忆：{related_memory_info}")
+        
+        schedule_info = bot_schedule.get_current_num_task(num = 1,time_info = False)
         
         prompt = ""
         prompt += f"你刚刚在做的事情是：{schedule_info}\n"
         # prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
-        prompt += f"{self.personality_info}\n"
+        prompt += f"你{self.personality_info}\n"
         prompt += f"现在你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：{message_stream_info}\n"
-        prompt += f"你想起来{related_memory_info}。"
+        if related_memory_info:
+            prompt += f"你想起来{related_memory_info}。"
         prompt += f"刚刚你的想法是{current_thinking_info}。"
-        prompt += f"你现在{mood_info}。"
+        prompt += f"你现在{mood_info}。\n"
         prompt += "现在你接下去继续思考，产生新的想法，不要分点输出，输出连贯的内心独白，不要太长，"
         prompt += "但是记得结合上述的消息，要记得维持住你的人设，关注聊天和新内容，不要思考太多:"
         reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
@@ -79,7 +108,8 @@ class SubHeartflow:
         self.update_current_mind(reponse)
         
         self.current_mind = reponse
-        print(f"麦麦的脑内状态：{self.current_mind}")
+        print(prompt)
+        logger.info(f"麦麦的脑内状态：{self.current_mind}")
     
     async def do_after_reply(self,reply_content,chat_talking_prompt):
         # print("麦麦脑袋转起来了")
@@ -91,24 +121,29 @@ class SubHeartflow:
         message_stream_info = self.outer_world.talking_summary
         message_new_info = chat_talking_prompt
         reply_info = reply_content
+        schedule_info = bot_schedule.get_current_num_task(num = 1,time_info = False)
+       
         
         prompt = ""
-        prompt += f"{self.personality_info}\n"
+        prompt += f"你刚刚在做的事情是：{schedule_info}\n"
+        prompt += f"你{self.personality_info}\n"
+        
         prompt += f"现在你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：{message_stream_info}\n"
-        prompt += f"你想起来{related_memory_info}。"
+        if related_memory_info:
+            prompt += f"你想起来{related_memory_info}。"
         prompt += f"刚刚你的想法是{current_thinking_info}。"
         prompt += f"你现在看到了网友们发的新消息:{message_new_info}\n"
         prompt += f"你刚刚回复了群友们:{reply_info}"
         prompt += f"你现在{mood_info}。"
         prompt += "现在你接下去继续思考，产生新的想法，记得保留你刚刚的想法，不要分点输出，输出连贯的内心独白"
-        prompt += "不要太长，但是记得结合上述的消息，要记得你的人设，关注聊天和新内容，以及你回复的内容，不要思考太多:"
+        prompt += "不要太长，但是记得结合上述的消息，要记得你的人设，关注聊天和新内容，关注你回复的内容，不要思考太多:"
         
         reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
         
         self.update_current_mind(reponse)
         
         self.current_mind = reponse
-        print(f"{self.observe_chat_id}麦麦的脑内状态：{self.current_mind}")
+        logger.info(f"麦麦回复后的脑内状态：{self.current_mind}")
         
         self.last_reply_time = time.time()
         
@@ -133,7 +168,7 @@ class SubHeartflow:
         else:
             self.current_state.willing = 0
             
-        print(f"{self.observe_chat_id}麦麦的回复意愿：{self.current_state.willing}")
+        logger.info(f"{self.observe_chat_id}麦麦的回复意愿：{self.current_state.willing}")
             
         return self.current_state.willing