from .observation import Observation, ChattingObservation 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 # from src.plugins.chat.utils import get_embedding # from src.common.database import db # from typing import Union from src.individuality.individuality import Individuality import random from src.plugins.chat.chat_stream import ChatStream from src.plugins.person_info.relationship_manager import relationship_manager from src.plugins.chat.utils import get_recent_group_speaker from ..plugins.utils.prompt_builder import Prompt, global_prompt_manager 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) def init_prompt(): prompt = "" # prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n" prompt += "{extra_info}\n" # prompt += "{prompt_schedule}\n" prompt += "{relation_prompt_all}\n" prompt += "{prompt_personality}\n" prompt += "刚刚你的想法是{current_thinking_info}。可以适当转换话题\n" prompt += "-----------------------------------\n" prompt += "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 += "你现在{mood_info}\n" prompt += "你注意到{sender_name}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" prompt += "思考时可以想想如何对群聊内容进行回复。回复的要求是：平淡一些，简短一些，说中文，尽量不要说你说过的话\n" prompt += "请注意不要输出多余内容(包括前后缀，冒号和引号，括号， 表情，等)，不要带有括号和动作描写" prompt += "记得结合上述的消息，生成内心想法，文字不要浮夸，注意你就是{bot_name}，{bot_name}指的就是你。" Prompt(prompt, "sub_heartflow_prompt_before") prompt = "" # prompt += f"你现在正在做的事情是：{schedule_info}\n" prompt += "{extra_info}\n" prompt += "{prompt_personality}\n" prompt += "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 += "刚刚你的想法是{current_thinking_info}。" prompt += "你现在看到了网友们发的新消息:{message_new_info}\n" prompt += "你刚刚回复了群友们:{reply_info}" prompt += "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:" Prompt(prompt, "sub_heartflow_prompt_after") class CurrentState: 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: CurrentState = CurrentState() self.llm_model = LLM_request( model=global_config.llm_sub_heartflow, temperature=global_config.llm_sub_heartflow["temp"], 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.is_active = False self.observations: list[ChattingObservation] = [] self.running_knowledges = [] self.bot_name = global_config.BOT_NICKNAME 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_observe(self): observation = self.observations[0] await observation.observe() async def do_thinking_before_reply(self, message_txt: str, sender_name: str, chat_stream: ChatStream, extra_info: str, obs_id: int = None): 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] if obs_id: print(f"11111111111有id,开始获取观察信息{obs_id}") chat_observe_info = observation.get_observe_info(obs_id) else: chat_observe_info = observation.get_observe_info() extra_info_prompt = "" for tool_name, tool_data in extra_info.items(): extra_info_prompt += f"{tool_name} 相关信息:\n" for item in tool_data: extra_info_prompt += f"- {item['name']}: {item['content']}\n" # 开始构建prompt prompt_personality = f"你的名字是{self.bot_name},你" # person individuality = Individuality.get_instance() personality_core = individuality.personality.personality_core prompt_personality += personality_core personality_sides = individuality.personality.personality_sides random.shuffle(personality_sides) prompt_personality += f",{personality_sides[0]}" identity_detail = individuality.identity.identity_detail random.shuffle(identity_detail) prompt_personality += f",{identity_detail[0]}" # 关系 who_chat_in_group = [ (chat_stream.user_info.platform, chat_stream.user_info.user_id, chat_stream.user_info.user_nickname) ] who_chat_in_group += get_recent_group_speaker( chat_stream.stream_id, (chat_stream.user_info.platform, chat_stream.user_info.user_id), limit=global_config.MAX_CONTEXT_SIZE, ) relation_prompt = "" for person in who_chat_in_group: relation_prompt += await relationship_manager.build_relationship_info(person) # relation_prompt_all = ( # f"{relation_prompt}关系等级越大，关系越好，请分析聊天记录，" # f"根据你和说话者{sender_name}的关系和态度进行回复，明确你的立场和情感。" # ) relation_prompt_all = (await global_prompt_manager.get_prompt_async("relationship_prompt")).format( relation_prompt, sender_name ) # prompt = "" # # prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n" # if tool_result.get("used_tools", False): # prompt += f"{collected_info}\n" # prompt += f"{relation_prompt_all}\n" # prompt += f"{prompt_personality}\n" # prompt += f"刚刚你的想法是{current_thinking_info}。如果有新的内容，记得转换话题\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{sender_name}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" # prompt += "思考时可以想想如何对群聊内容进行回复。回复的要求是：平淡一些，简短一些，说中文，尽量不要说你说过的话\n" # prompt += "请注意不要输出多余内容(包括前后缀，冒号和引号，括号， 表情，等)，不要带有括号和动作描写" # prompt += f"记得结合上述的消息，生成内心想法，文字不要浮夸，注意你就是{self.bot_name}，{self.bot_name}指的就是你。" prompt = (await global_prompt_manager.get_prompt_async("sub_heartflow_prompt_before")).format( extra_info_prompt, # prompt_schedule, relation_prompt_all, prompt_personality, current_thinking_info, chat_observe_info, mood_info, sender_name, message_txt, self.bot_name, ) try: response, reasoning_content = await self.llm_model.generate_response_async(prompt) except Exception as e: logger.error(f"回复前内心独白获取失败: {e}") response = "" self.update_current_mind(response) self.current_mind = response logger.info(f"prompt:\n{prompt}\n") logger.info(f"麦麦的思考前脑内状态：{self.current_mind}") return self.current_mind, self.past_mind async def do_thinking_after_reply(self, reply_content, chat_talking_prompt, extra_info): # print("麦麦回复之后脑袋转起来了") # 开始构建prompt prompt_personality = f"你的名字是{self.bot_name},你" # person individuality = Individuality.get_instance() personality_core = individuality.personality.personality_core prompt_personality += personality_core extra_info_prompt = "" for tool_name, tool_data in extra_info.items(): extra_info_prompt += f"{tool_name} 相关信息:\n" for item in tool_data: extra_info_prompt += f"- {item['name']}: {item['content']}\n" personality_sides = individuality.personality.personality_sides random.shuffle(personality_sides) prompt_personality += f",{personality_sides[0]}" identity_detail = individuality.identity.identity_detail random.shuffle(identity_detail) prompt_personality += f",{identity_detail[0]}" 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 prompt = (await global_prompt_manager.get_prompt_async("sub_heartflow_prompt_after")).format( extra_info_prompt, prompt_personality, chat_observe_info, current_thinking_info, message_new_info, reply_info, mood_info, ) try: response, reasoning_content = await self.llm_model.generate_response_async(prompt) except Exception as e: logger.error(f"回复后内心独白获取失败: {e}") response = "" self.update_current_mind(response) self.current_mind = response 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): # 开始构建prompt prompt_personality = "你" # person individuality = Individuality.get_instance() personality_core = individuality.personality.personality_core prompt_personality += personality_core personality_sides = individuality.personality.personality_sides random.shuffle(personality_sides) prompt_personality += f",{personality_sides[0]}" identity_detail = individuality.identity.identity_detail random.shuffle(identity_detail) prompt_personality += f",{identity_detail[0]}" # 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"{prompt_personality}\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" try: response, reasoning_content = await self.llm_model.generate_response_async(prompt) # 解析willing值 willing_match = re.search(r"<(\d+)>", response) except Exception as e: logger.error(f"意愿判断获取失败: {e}") willing_match = None 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, response): self.past_mind.append(self.current_mind) self.current_mind = response init_prompt() # subheartflow = SubHeartflow()