mirror of https://github.com/Mai-with-u/MaiBot.git
255 lines
11 KiB
Python
255 lines
11 KiB
Python
from .observation import Observation
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import asyncio
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from src.plugins.moods.moods import MoodManager
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from src.plugins.models.utils_model import LLM_request
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from src.plugins.config.config import global_config
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import re
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import time
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from src.plugins.schedule.schedule_generator import bot_schedule
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from src.plugins.memory_system.Hippocampus import HippocampusManager
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from src.common.logger import get_module_logger, LogConfig, SUB_HEARTFLOW_STYLE_CONFIG # noqa: E402
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subheartflow_config = LogConfig(
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# 使用海马体专用样式
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console_format=SUB_HEARTFLOW_STYLE_CONFIG["console_format"],
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file_format=SUB_HEARTFLOW_STYLE_CONFIG["file_format"],
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)
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logger = get_module_logger("subheartflow", config=subheartflow_config)
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class CuttentState:
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def __init__(self):
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self.willing = 0
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self.current_state_info = ""
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self.mood_manager = MoodManager()
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self.mood = self.mood_manager.get_prompt()
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def update_current_state_info(self):
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self.current_state_info = self.mood_manager.get_current_mood()
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class SubHeartflow:
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def __init__(self, subheartflow_id):
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self.subheartflow_id = subheartflow_id
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self.current_mind = ""
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self.past_mind = []
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self.current_state: CuttentState = CuttentState()
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self.llm_model = LLM_request(
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model=global_config.llm_sub_heartflow, temperature=0.7, max_tokens=600, request_type="sub_heart_flow"
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)
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self.main_heartflow_info = ""
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self.last_reply_time = time.time()
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self.last_active_time = time.time() # 添加最后激活时间
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if not self.current_mind:
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self.current_mind = "你什么也没想"
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self.personality_info = " ".join(global_config.PROMPT_PERSONALITY)
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self.is_active = False
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self.observations: list[Observation] = []
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def add_observation(self, observation: Observation):
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"""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"""
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# 查找是否存在相同id的observation
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for existing_obs in self.observations:
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if existing_obs.observe_id == observation.observe_id:
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# 如果找到相同id的observation，直接返回
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return
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# 如果没有找到相同id的observation，则添加新的
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self.observations.append(observation)
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def remove_observation(self, observation: Observation):
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"""从列表中移除一个observation对象"""
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if observation in self.observations:
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self.observations.remove(observation)
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def get_all_observations(self) -> list[Observation]:
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"""获取所有observation对象"""
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return self.observations
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def clear_observations(self):
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"""清空所有observation对象"""
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self.observations.clear()
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async def subheartflow_start_working(self):
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while True:
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current_time = time.time()
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if current_time - self.last_reply_time > global_config.sub_heart_flow_freeze_time: # 120秒无回复/不在场，冻结
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self.is_active = False
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await asyncio.sleep(global_config.sub_heart_flow_update_interval) # 每60秒检查一次
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else:
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self.is_active = True
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self.last_active_time = current_time # 更新最后激活时间
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self.current_state.update_current_state_info()
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# await self.do_a_thinking()
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# await self.judge_willing()
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await asyncio.sleep(global_config.sub_heart_flow_update_interval)
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# 检查是否超过10分钟没有激活
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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
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logger.info(f"子心流 {self.subheartflow_id} 已经5分钟没有激活，正在销毁...")
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break # 退出循环，销毁自己
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async def do_a_thinking(self):
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current_thinking_info = self.current_mind
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mood_info = self.current_state.mood
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observation = self.observations[0]
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chat_observe_info = observation.observe_info
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# print(f"chat_observe_info：{chat_observe_info}")
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# 调取记忆
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related_memory = await HippocampusManager.get_instance().get_memory_from_text(
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text=chat_observe_info, max_memory_num=2, max_memory_length=2, max_depth=3, fast_retrieval=False
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)
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if related_memory:
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related_memory_info = ""
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for memory in related_memory:
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related_memory_info += memory[1]
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else:
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related_memory_info = ""
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# print(f"相关记忆：{related_memory_info}")
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schedule_info = bot_schedule.get_current_num_task(num=1, time_info=False)
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prompt = ""
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prompt += f"你刚刚在做的事情是：{schedule_info}\n"
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# prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
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prompt += f"你{self.personality_info}\n"
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if related_memory_info:
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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"
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prompt += f"刚刚你的想法是{current_thinking_info}。\n"
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prompt += "-----------------------------------\n"
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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"
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prompt += f"你现在{mood_info}\n"
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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，"
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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:"
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reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
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self.update_current_mind(reponse)
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self.current_mind = reponse
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logger.debug(f"prompt:\n{prompt}\n")
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logger.info(f"麦麦的脑内状态：{self.current_mind}")
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async def do_observe(self):
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observation = self.observations[0]
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await observation.observe()
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async def do_thinking_before_reply(self, message_txt):
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current_thinking_info = self.current_mind
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mood_info = self.current_state.mood
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# mood_info = "你很生气，很愤怒"
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observation = self.observations[0]
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chat_observe_info = observation.observe_info
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# print(f"chat_observe_info：{chat_observe_info}")
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# 调取记忆
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related_memory = await HippocampusManager.get_instance().get_memory_from_text(
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text=chat_observe_info, max_memory_num=2, max_memory_length=2, max_depth=3, fast_retrieval=False
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)
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if related_memory:
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related_memory_info = ""
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for memory in related_memory:
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related_memory_info += memory[1]
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else:
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related_memory_info = ""
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# print(f"相关记忆：{related_memory_info}")
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schedule_info = bot_schedule.get_current_num_task(num=1, time_info=False)
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prompt = ""
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# prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
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prompt += f"你{self.personality_info}\n"
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prompt += f"你刚刚在做的事情是：{schedule_info}\n"
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if related_memory_info:
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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"
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prompt += f"刚刚你的想法是{current_thinking_info}。\n"
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prompt += "-----------------------------------\n"
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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"
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prompt += f"你现在{mood_info}\n"
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prompt += f"你注意到有人刚刚说：{message_txt}\n"
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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，"
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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:"
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reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
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self.update_current_mind(reponse)
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self.current_mind = reponse
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logger.debug(f"prompt:\n{prompt}\n")
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logger.info(f"麦麦的思考前脑内状态：{self.current_mind}")
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async def do_thinking_after_reply(self, reply_content, chat_talking_prompt):
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# print("麦麦回复之后脑袋转起来了")
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current_thinking_info = self.current_mind
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mood_info = self.current_state.mood
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observation = self.observations[0]
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chat_observe_info = observation.observe_info
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message_new_info = chat_talking_prompt
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reply_info = reply_content
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# schedule_info = bot_schedule.get_current_num_task(num=1, time_info=False)
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prompt = ""
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# prompt += f"你现在正在做的事情是：{schedule_info}\n"
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prompt += f"你{self.personality_info}\n"
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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"
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prompt += f"刚刚你的想法是{current_thinking_info}。"
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prompt += f"你现在看到了网友们发的新消息:{message_new_info}\n"
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prompt += f"你刚刚回复了群友们:{reply_info}"
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prompt += f"你现在{mood_info}"
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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"
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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:"
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reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
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self.update_current_mind(reponse)
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self.current_mind = reponse
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logger.info(f"麦麦回复后的脑内状态：{self.current_mind}")
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self.last_reply_time = time.time()
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async def judge_willing(self):
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# print("麦麦闹情绪了1")
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current_thinking_info = self.current_mind
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mood_info = self.current_state.mood
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# print("麦麦闹情绪了2")
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prompt = ""
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prompt += f"{self.personality_info}\n"
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prompt += "现在你正在上网，和qq群里的网友们聊天"
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prompt += f"你现在的想法是{current_thinking_info}。"
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prompt += f"你现在{mood_info}。"
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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。"
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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"
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response, reasoning_content = await self.llm_model.generate_response_async(prompt)
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# 解析willing值
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willing_match = re.search(r"<(\d+)>", response)
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if willing_match:
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self.current_state.willing = int(willing_match.group(1))
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else:
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self.current_state.willing = 0
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return self.current_state.willing
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def update_current_mind(self, reponse):
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self.past_mind.append(self.current_mind)
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self.current_mind = reponse
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# subheartflow = SubHeartflow()
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