from .observation import Observation import asyncio from src.plugins.moods.moods import MoodManager from src.plugins.models.utils_model import LLM_request from src.plugins.config.config import global_config 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): 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 SubHeartflow: def __init__(self, subheartflow_id): self.subheartflow_id = subheartflow_id self.current_mind = "" self.past_mind = [] self.current_state: CuttentState = CuttentState() self.llm_model = LLM_request( model=global_config.llm_sub_heartflow, temperature=0.7, max_tokens=600, request_type="sub_heart_flow" ) self.main_heartflow_info = "" self.last_reply_time = time.time() self.last_active_time = time.time() # 添加最后激活时间 if not self.current_mind: self.current_mind = "你什么也没想" self.personality_info = " ".join(global_config.PROMPT_PERSONALITY) self.is_active = False self.observations: list[Observation] = [] def add_observation(self, observation: Observation): """添加一个新的observation对象到列表中，如果已存在相同id的observation则不添加""" # 查找是否存在相同id的observation for existing_obs in self.observations: if existing_obs.observe_id == observation.observe_id: # 如果找到相同id的observation，直接返回 return # 如果没有找到相同id的observation，则添加新的 self.observations.append(observation) def remove_observation(self, observation: Observation): """从列表中移除一个observation对象""" if observation in self.observations: self.observations.remove(observation) def get_all_observations(self) -> list[Observation]: """获取所有observation对象""" return self.observations def clear_observations(self): """清空所有observation对象""" self.observations.clear() async def subheartflow_start_working(self): while True: current_time = time.time() if current_time - self.last_reply_time > global_config.sub_heart_flow_freeze_time: # 120秒无回复/不在场，冻结 self.is_active = False await asyncio.sleep(global_config.sub_heart_flow_update_interval) # 每60秒检查一次 else: self.is_active = True self.last_active_time = current_time # 更新最后激活时间 self.current_state.update_current_state_info() # await self.do_a_thinking() # await self.judge_willing() await asyncio.sleep(global_config.sub_heart_flow_update_interval) # 检查是否超过10分钟没有激活 if current_time - self.last_active_time > global_config.sub_heart_flow_stop_time: # 5分钟无回复/不在场，销毁 logger.info(f"子心流 {self.subheartflow_id} 已经5分钟没有激活，正在销毁...") break # 退出循环，销毁自己 async def do_a_thinking(self): current_thinking_info = self.current_mind mood_info = self.current_state.mood observation = self.observations[0] chat_observe_info = observation.observe_info # print(f"chat_observe_info：{chat_observe_info}") # 调取记忆 related_memory = await HippocampusManager.get_instance().get_memory_from_text( text=chat_observe_info, max_memory_num=2, max_memory_length=2, max_depth=3, fast_retrieval=False ) 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"你{self.personality_info}\n" if related_memory_info: prompt += f"你想起来你之前见过的回忆：{related_memory_info}。\n以上是你的回忆，不一定是目前聊天里的人说的，也不一定是现在发生的事情，请记住。\n" prompt += f"刚刚你的想法是{current_thinking_info}。\n" prompt += "-----------------------------------\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：{chat_observe_info}\n" 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) self.update_current_mind(reponse) self.current_mind = reponse logger.debug(f"prompt:\n{prompt}\n") logger.info(f"麦麦的脑内状态：{self.current_mind}") async def do_observe(self): observation = self.observations[0] await observation.observe() async def do_thinking_before_reply(self, message_txt): current_thinking_info = self.current_mind mood_info = self.current_state.mood # mood_info = "你很生气，很愤怒" observation = self.observations[0] chat_observe_info = observation.observe_info # print(f"chat_observe_info：{chat_observe_info}") # 调取记忆 related_memory = await HippocampusManager.get_instance().get_memory_from_text( text=chat_observe_info, max_memory_num=2, max_memory_length=2, max_depth=3, fast_retrieval=False ) 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"麦麦的总体想法是：{self.main_heartflow_info}\n\n" prompt += f"你{self.personality_info}\n" prompt += f"你刚刚在做的事情是：{schedule_info}\n" if related_memory_info: prompt += f"你想起来你之前见过的回忆：{related_memory_info}。\n以上是你的回忆，不一定是目前聊天里的人说的，也不一定是现在发生的事情，请记住。\n" prompt += f"刚刚你的想法是{current_thinking_info}。\n" prompt += "-----------------------------------\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：{chat_observe_info}\n" prompt += f"你现在{mood_info}\n" prompt += f"你注意到有人刚刚说：{message_txt}\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 += "记得结合上述的消息，要记得维持住你的人设，注意自己的名字，关注有人刚刚说的内容，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 logger.debug(f"prompt:\n{prompt}\n") logger.info(f"麦麦的思考前脑内状态：{self.current_mind}") async def do_thinking_after_reply(self, reply_content, chat_talking_prompt): # print("麦麦回复之后脑袋转起来了") current_thinking_info = self.current_mind mood_info = self.current_state.mood observation = self.observations[0] chat_observe_info = observation.observe_info 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"你现在正在做的事情是：{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：{chat_observe_info}\n" 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，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 logger.info(f"麦麦回复后的脑内状态：{self.current_mind}") self.last_reply_time = time.time() async def judge_willing(self): # print("麦麦闹情绪了1") current_thinking_info = self.current_mind mood_info = self.current_state.mood # print("麦麦闹情绪了2") prompt = "" prompt += f"{self.personality_info}\n" prompt += "现在你正在上网，和qq群里的网友们聊天" prompt += f"你现在的想法是{current_thinking_info}。" prompt += f"你现在{mood_info}。" prompt += "现在请你思考，你想不想发言或者回复，请你输出一个数字，1-10，1表示非常不想，10表示非常想。" prompt += "请你用<>包裹你的回复意愿，输出<1>表示不想回复，输出<10>表示非常想回复。请你考虑，你完全可以不回复" response, reasoning_content = await self.llm_model.generate_response_async(prompt) # 解析willing值 willing_match = re.search(r"<(\d+)>", response) if willing_match: self.current_state.willing = int(willing_match.group(1)) else: self.current_state.willing = 0 return self.current_state.willing def update_current_mind(self, reponse): self.past_mind.append(self.current_mind) self.current_mind = reponse # subheartflow = SubHeartflow()