""" Mxp 模式：梦溪畔独家赞助 此模式的一些参数不会在配置文件中显示，要修改请在可变参数下修改 同时一些全局设置对此模式无效 此模式的可变参数暂时比较草率，需要调参仙人的大手 此模式的特点： 1.每个聊天流的每个用户的意愿是独立的 2.接入关系系统，关系会影响意愿值（已移除，因为关系系统重构） 3.会根据群聊的热度来调整基础意愿值 4.限制同时思考的消息数量，防止喷射 5.拥有单聊增益，无论在群里还是私聊，只要bot一直和你聊，就会增加意愿值 6.意愿分为衰减意愿+临时意愿 7.疲劳机制 如果你发现本模式出现了bug 上上策是询问智慧的小草神（） 上策是询问万能的千石可乐 中策是发issue 下下策是询问一个菜鸟（@梦溪畔） """ from typing import Dict import asyncio import time import math from src.chat.message_receive.chat_stream import ChatStream from .willing_manager import BaseWillingManager class MxpWillingManager(BaseWillingManager): """Mxp意愿管理器""" def __init__(self): super().__init__() self.chat_person_reply_willing: Dict[str, Dict[str, float]] = {} # chat_id: {person_id: 意愿值} self.chat_new_message_time: Dict[str, list[float]] = {} # 聊天流ID: 消息时间 self.last_response_person: Dict[str, tuple[str, int]] = {} # 上次回复的用户信息 self.temporary_willing: float = 0 # 临时意愿值 self.chat_bot_message_time: Dict[str, list[float]] = {} # 聊天流ID: bot已回复消息时间 self.chat_fatigue_punishment_list: Dict[ str, list[tuple[float, float]] ] = {} # 聊天流疲劳惩罚列, 聊天流ID: 惩罚时间列(开始时间，持续时间) self.chat_fatigue_willing_attenuation: Dict[str, float] = {} # 聊天流疲劳意愿衰减值 # 可变参数 self.intention_decay_rate = 0.93 # 意愿衰减率 self.number_of_message_storage = 12 # 消息存储数量 self.expected_replies_per_min = 3 # 每分钟预期回复数 self.basic_maximum_willing = 0.5 # 基础最大意愿值 self.mention_willing_gain = 0.6 # 提及意愿增益 self.interest_willing_gain = 0.3 # 兴趣意愿增益 self.single_chat_gain = 0.12 # 单聊增益 self.fatigue_messages_triggered_num = self.expected_replies_per_min # 疲劳消息触发数量(int) self.fatigue_coefficient = 1.0 # 疲劳系数 self.is_debug = False # 是否开启调试模式 async def async_task_starter(self) -> None: """异步任务启动器""" asyncio.create_task(self._return_to_basic_willing()) asyncio.create_task(self._chat_new_message_to_change_basic_willing()) asyncio.create_task(self._fatigue_attenuation()) async def before_generate_reply_handle(self, message_id: str): """回复前处理""" current_time = time.time() async with self.lock: w_info = self.ongoing_messages[message_id] if w_info.chat_id not in self.chat_bot_message_time: self.chat_bot_message_time[w_info.chat_id] = [] self.chat_bot_message_time[w_info.chat_id] = [ t for t in self.chat_bot_message_time[w_info.chat_id] if current_time - t < 60 ] self.chat_bot_message_time[w_info.chat_id].append(current_time) if len(self.chat_bot_message_time[w_info.chat_id]) == int(self.fatigue_messages_triggered_num): time_interval = 60 - (current_time - self.chat_bot_message_time[w_info.chat_id].pop(0)) self.chat_fatigue_punishment_list[w_info.chat_id].append((current_time, time_interval * 2)) async def after_generate_reply_handle(self, message_id: str): """回复后处理""" async with self.lock: w_info = self.ongoing_messages[message_id] # 移除关系值相关代码 # rel_value = await w_info.person_info_manager.get_value(w_info.person_id, "relationship_value") # rel_level = self._get_relationship_level_num(rel_value) # self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] += rel_level * 0.05 now_chat_new_person = self.last_response_person.get(w_info.chat_id, (w_info.person_id, 0)) if now_chat_new_person[0] == w_info.person_id: if now_chat_new_person[1] < 3: tmp_list = list(now_chat_new_person) tmp_list[1] += 1 # type: ignore self.last_response_person[w_info.chat_id] = tuple(tmp_list) # type: ignore else: self.last_response_person[w_info.chat_id] = (w_info.person_id, 0) async def not_reply_handle(self, message_id: str): """不回复处理""" async with self.lock: w_info = self.ongoing_messages[message_id] if w_info.is_mentioned_bot: self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] += self.mention_willing_gain / 2.5 if ( w_info.chat_id in self.last_response_person and self.last_response_person[w_info.chat_id][0] == w_info.person_id and self.last_response_person[w_info.chat_id][1] ): self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] += self.single_chat_gain * ( 2 * self.last_response_person[w_info.chat_id][1] - 1 ) now_chat_new_person = self.last_response_person.get(w_info.chat_id, ("", 0)) if now_chat_new_person[0] != w_info.person_id: self.last_response_person[w_info.chat_id] = (w_info.person_id, 0) async def get_reply_probability(self, message_id: str): # sourcery skip: merge-duplicate-blocks, remove-redundant-if """获取回复概率""" async with self.lock: w_info = self.ongoing_messages[message_id] current_willing = self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] if self.is_debug: self.logger.debug(f"基础意愿值：{current_willing}") if w_info.is_mentioned_bot: willing_gain = self.mention_willing_gain / (int(current_willing) + 1) current_willing += willing_gain if self.is_debug: self.logger.debug(f"提及增益：{willing_gain}") if w_info.interested_rate > 0: willing_gain = math.atan(w_info.interested_rate / 2) / math.pi * 2 * self.interest_willing_gain current_willing += willing_gain if self.is_debug: self.logger.debug(f"兴趣增益：{willing_gain}") self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] = current_willing # 添加单聊增益 if ( w_info.chat_id in self.last_response_person and self.last_response_person[w_info.chat_id][0] == w_info.person_id and self.last_response_person[w_info.chat_id][1] ): current_willing += self.single_chat_gain * (2 * self.last_response_person[w_info.chat_id][1] + 1) if self.is_debug: self.logger.debug( f"单聊增益：{self.single_chat_gain * (2 * self.last_response_person[w_info.chat_id][1] + 1)}" ) current_willing += self.chat_fatigue_willing_attenuation.get(w_info.chat_id, 0) if self.is_debug: self.logger.debug(f"疲劳衰减：{self.chat_fatigue_willing_attenuation.get(w_info.chat_id, 0)}") chat_ongoing_messages = [msg for msg in self.ongoing_messages.values() if msg.chat_id == w_info.chat_id] chat_person_ongoing_messages = [msg for msg in chat_ongoing_messages if msg.person_id == w_info.person_id] if len(chat_person_ongoing_messages) >= 2: current_willing = 0 if self.is_debug: self.logger.debug("进行中消息惩罚：归0") elif len(chat_ongoing_messages) == 2: current_willing -= 0.5 if self.is_debug: self.logger.debug("进行中消息惩罚：-0.5") elif len(chat_ongoing_messages) == 3: current_willing -= 1.5 if self.is_debug: self.logger.debug("进行中消息惩罚：-1.5") elif len(chat_ongoing_messages) >= 4: current_willing = 0 if self.is_debug: self.logger.debug("进行中消息惩罚：归0") probability = self._willing_to_probability(current_willing) self.temporary_willing = current_willing return probability async def _return_to_basic_willing(self): """使每个人的意愿恢复到chat基础意愿""" while True: await asyncio.sleep(3) async with self.lock: for chat_id, person_willing in self.chat_person_reply_willing.items(): for person_id, willing in person_willing.items(): if chat_id not in self.chat_reply_willing: self.logger.debug(f"聊天流{chat_id}不存在，错误") continue basic_willing = self.chat_reply_willing[chat_id] person_willing[person_id] = ( basic_willing + (willing - basic_willing) * self.intention_decay_rate ) def setup(self, message: dict, chat_stream: ChatStream): super().setup(message, chat_stream) stream_id = chat_stream.stream_id self.chat_reply_willing[stream_id] = self.chat_reply_willing.get(stream_id, self.basic_maximum_willing) self.chat_person_reply_willing[stream_id] = self.chat_person_reply_willing.get(stream_id, {}) self.chat_person_reply_willing[stream_id][self.ongoing_messages[message.get("message_id", "")].person_id] = ( self.chat_person_reply_willing[stream_id].get( self.ongoing_messages[message.get("message_id", "")].person_id, self.chat_reply_willing[stream_id], ) ) current_time = time.time() if stream_id not in self.chat_new_message_time: self.chat_new_message_time[stream_id] = [] self.chat_new_message_time[stream_id].append(current_time) if len(self.chat_new_message_time[stream_id]) > self.number_of_message_storage: self.chat_new_message_time[stream_id].pop(0) if stream_id not in self.chat_fatigue_punishment_list: self.chat_fatigue_punishment_list[stream_id] = [ ( current_time, self.number_of_message_storage * self.basic_maximum_willing / self.expected_replies_per_min * 60, ) ] self.chat_fatigue_willing_attenuation[stream_id] = ( -2 * self.basic_maximum_willing * self.fatigue_coefficient ) @staticmethod def _willing_to_probability(willing: float) -> float: """意愿值转化为概率""" willing = max(0, willing) if willing < 2: return math.atan(willing * 2) / math.pi * 2 elif willing < 2.5: return math.atan(willing * 4) / math.pi * 2 else: return 1 async def _chat_new_message_to_change_basic_willing(self): """聊天流新消息改变基础意愿""" update_time = 20 while True: await asyncio.sleep(update_time) async with self.lock: for chat_id, message_times in self.chat_new_message_time.items(): # 清理过期消息 current_time = time.time() message_times = [ msg_time for msg_time in message_times if current_time - msg_time < self.number_of_message_storage * self.basic_maximum_willing / self.expected_replies_per_min * 60 ] self.chat_new_message_time[chat_id] = message_times if len(message_times) < self.number_of_message_storage: self.chat_reply_willing[chat_id] = self.basic_maximum_willing update_time = 20 elif len(message_times) == self.number_of_message_storage: time_interval = current_time - message_times[0] basic_willing = self._basic_willing_calculate(time_interval) self.chat_reply_willing[chat_id] = basic_willing update_time = 17 * basic_willing / self.basic_maximum_willing + 3 else: self.logger.debug(f"聊天流{chat_id}消息时间数量异常，数量：{len(message_times)}") self.chat_reply_willing[chat_id] = 0 if self.is_debug: self.logger.debug(f"聊天流意愿值更新：{self.chat_reply_willing}") def _basic_willing_calculate(self, t: float) -> float: """基础意愿值计算""" return math.tan(t * self.expected_replies_per_min * math.pi / 120 / self.number_of_message_storage) / 2 async def _fatigue_attenuation(self): """疲劳衰减""" while True: await asyncio.sleep(1) current_time = time.time() async with self.lock: for chat_id, fatigue_list in self.chat_fatigue_punishment_list.items(): fatigue_list = [z for z in fatigue_list if current_time - z[0] < z[1]] self.chat_fatigue_willing_attenuation[chat_id] = 0 for start_time, duration in fatigue_list: self.chat_fatigue_willing_attenuation[chat_id] += ( self.chat_reply_willing[chat_id] * 2 / math.pi * math.asin(2 * (current_time - start_time) / duration - 1) - self.chat_reply_willing[chat_id] ) * self.fatigue_coefficient async def get_willing(self, chat_id): return self.temporary_willing