feat 思维流大核+小核

src/think_flow_demo/heartflow.py

@@ -1,9 +1,95 @@
 from .current_mind import SubHeartflow
+from src.plugins.moods.moods import MoodManager
+from src.plugins.models.utils_model import LLM_request
+from src.plugins.chat.config import global_config
+from .outer_world import outer_world
+import asyncio
 
-class SubHeartflowManager:
+class CuttentState:
     def __init__(self):
-        self._subheartflows = {}
+        self.willing = 0
+        self.current_state_info = ""
+        
+        self.mood_manager = MoodManager()
+        self.mood = self.mood_manager.get_prompt()
     
+    def update_current_state_info(self):
+        self.current_state_info = self.mood_manager.get_current_mood()
+
+class Heartflow:
+    def __init__(self):
+        self.current_mind = "你什么也没想"
+        self.past_mind = []
+        self.current_state : CuttentState = CuttentState()
+        self.llm_model = LLM_request(model=global_config.llm_topic_judge, temperature=0.6, max_tokens=1000, request_type="heart_flow")
+        
+        self._subheartflows = {}
+        self.active_subheartflows_nums = 0
+        
+        
+
+    async def heartflow_start_working(self):
+        while True:
+            await self.do_a_thinking()
+            await asyncio.sleep(60)
+    
+    async def do_a_thinking(self):
+        print("麦麦大脑袋转起来了")
+        self.current_state.update_current_state_info()
+        
+        personality_info = open("src/think_flow_demo/personality_info.txt", "r", encoding="utf-8").read()
+        current_thinking_info = self.current_mind
+        mood_info = self.current_state.mood
+        related_memory_info = 'memory'
+        sub_flows_info = await self.get_all_subheartflows_minds()
+        
+        prompt = ""
+        prompt += f"{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}。"
+        prompt += f"刚刚你的主要想法是{current_thinking_info}。"
+        prompt += f"你还有一些小想法，因为你在参加不同的群聊天，是你正在做的事情：{sub_flows_info}\n"
+        prompt += f"你现在{mood_info}。"
+        prompt += f"现在你接下去继续思考，产生新的想法，但是要基于原有的主要想法，不要分点输出，输出连贯的内心独白，不要太长，但是记得结合上述的消息，关注新内容:"
+        
+        reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
+        
+        self.update_current_mind(reponse)
+        
+        self.current_mind = reponse
+        print(f"麦麦的总体脑内状态：{self.current_mind}")
+        
+        for _, subheartflow in self._subheartflows.items():
+            subheartflow.main_heartflow_info = reponse
+
+    def update_current_mind(self,reponse):
+        self.past_mind.append(self.current_mind)
+        self.current_mind = reponse
+        
+    
+    
+    async def get_all_subheartflows_minds(self):
+        sub_minds = ""
+        for _, subheartflow in self._subheartflows.items():
+            sub_minds += subheartflow.current_mind
+            
+        return await self.minds_summary(sub_minds)
+    
+    async def minds_summary(self,minds_str):
+        personality_info = open("src/think_flow_demo/personality_info.txt", "r", encoding="utf-8").read()
+        mood_info = self.current_state.mood
+        
+        prompt = ""
+        prompt += f"{personality_info}\n"
+        prompt += f"现在麦麦的想法是：{self.current_mind}\n"
+        prompt += f"现在麦麦在qq群里进行聊天，聊天的话题如下：{minds_str}\n"
+        prompt += f"你现在{mood_info}\n"
+        prompt += f"现在请你总结这些聊天内容，注意关注聊天内容对原有的想法的影响，输出连贯的内心独白，不要太长，但是记得结合上述的消息，要记得你的人设，关注新内容:"
+
+        reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
+
+        return reponse
+        
     def create_subheartflow(self, observe_chat_id):
         """创建一个新的SubHeartflow实例"""
         if observe_chat_id not in self._subheartflows:
@@ -17,5 +103,6 @@ class SubHeartflowManager:
         """获取指定ID的SubHeartflow实例"""
         return self._subheartflows.get(observe_chat_id)
 
+
 # 创建一个全局的管理器实例
-subheartflow_manager = SubHeartflowManager() 
+subheartflow_manager = Heartflow()