feat：整合normal和focus聊天
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SengokuCola
294
src/chat/willing/mode_mxp.py
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294
src/chat/willing/mode_mxp.py
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"""
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Mxp 模式：梦溪畔独家赞助
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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
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同时一些全局设置对此模式无效
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此模式的可变参数暂时比较草率，需要调参仙人的大手
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此模式的特点：
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1.每个聊天流的每个用户的意愿是独立的
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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）
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3.会根据群聊的热度来调整基础意愿值
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4.限制同时思考的消息数量，防止喷射
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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
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6.意愿分为衰减意愿+临时意愿
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7.疲劳机制
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如果你发现本模式出现了bug
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上上策是询问智慧的小草神（）
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上策是询问万能的千石可乐
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中策是发issue
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下下策是询问一个菜鸟（@梦溪畔）
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"""
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from .willing_manager import BaseWillingManager
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from typing import Dict
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import asyncio
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import time
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import math
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class MxpWillingManager(BaseWillingManager):
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"""Mxp意愿管理器"""
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def __init__(self):
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super().__init__()
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self.chat_person_reply_willing: Dict[str, Dict[str, float]] = {} # chat_id: {person_id: 意愿值}
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self.chat_new_message_time: Dict[str, list[float]] = {} # 聊天流ID: 消息时间
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self.last_response_person: Dict[str, tuple[str, int]] = {} # 上次回复的用户信息
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self.temporary_willing: float = 0 # 临时意愿值
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self.chat_bot_message_time: Dict[str, list[float]] = {} # 聊天流ID: bot已回复消息时间
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self.chat_fatigue_punishment_list: Dict[
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str, list[tuple[float, float]]
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] = {} # 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)
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self.chat_fatigue_willing_attenuation: Dict[str, float] = {} # 聊天流疲劳意愿衰减值
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# 可变参数
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self.intention_decay_rate = 0.93 # 意愿衰减率
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self.number_of_message_storage = 12 # 消息存储数量
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self.expected_replies_per_min = 3 # 每分钟预期回复数
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self.basic_maximum_willing = 0.5 # 基础最大意愿值
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self.mention_willing_gain = 0.6 # 提及意愿增益
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self.interest_willing_gain = 0.3 # 兴趣意愿增益
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self.single_chat_gain = 0.12 # 单聊增益
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self.fatigue_messages_triggered_num = self.expected_replies_per_min # 疲劳消息触发数量(int)
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self.fatigue_coefficient = 1.0 # 疲劳系数
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self.is_debug = False # 是否开启调试模式
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async def async_task_starter(self) -> None:
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"""异步任务启动器"""
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asyncio.create_task(self._return_to_basic_willing())
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asyncio.create_task(self._chat_new_message_to_change_basic_willing())
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asyncio.create_task(self._fatigue_attenuation())
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async def before_generate_reply_handle(self, message_id: str):
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"""回复前处理"""
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current_time = time.time()
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async with self.lock:
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w_info = self.ongoing_messages[message_id]
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if w_info.chat_id not in self.chat_bot_message_time:
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self.chat_bot_message_time[w_info.chat_id] = []
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self.chat_bot_message_time[w_info.chat_id] = [
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t for t in self.chat_bot_message_time[w_info.chat_id] if current_time - t < 60
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]
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self.chat_bot_message_time[w_info.chat_id].append(current_time)
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if len(self.chat_bot_message_time[w_info.chat_id]) == int(self.fatigue_messages_triggered_num):
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time_interval = 60 - (current_time - self.chat_bot_message_time[w_info.chat_id].pop(0))
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self.chat_fatigue_punishment_list[w_info.chat_id].append([current_time, time_interval * 2])
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async def after_generate_reply_handle(self, message_id: str):
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"""回复后处理"""
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async with self.lock:
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w_info = self.ongoing_messages[message_id]
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# 移除关系值相关代码
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# rel_value = await w_info.person_info_manager.get_value(w_info.person_id, "relationship_value")
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# rel_level = self._get_relationship_level_num(rel_value)
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# self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] += rel_level * 0.05
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now_chat_new_person = self.last_response_person.get(w_info.chat_id, [w_info.person_id, 0])
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if now_chat_new_person[0] == w_info.person_id:
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if now_chat_new_person[1] < 3:
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now_chat_new_person[1] += 1
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else:
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self.last_response_person[w_info.chat_id] = [w_info.person_id, 0]
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async def not_reply_handle(self, message_id: str):
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"""不回复处理"""
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async with self.lock:
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w_info = self.ongoing_messages[message_id]
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if w_info.is_mentioned_bot:
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self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] += self.mention_willing_gain / 2.5
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if (
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w_info.chat_id in self.last_response_person
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and self.last_response_person[w_info.chat_id][0] == w_info.person_id
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and self.last_response_person[w_info.chat_id][1]
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):
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self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] += self.single_chat_gain * (
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2 * self.last_response_person[w_info.chat_id][1] - 1
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)
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now_chat_new_person = self.last_response_person.get(w_info.chat_id, ["", 0])
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if now_chat_new_person[0] != w_info.person_id:
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self.last_response_person[w_info.chat_id] = [w_info.person_id, 0]
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async def get_reply_probability(self, message_id: str):
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"""获取回复概率"""
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async with self.lock:
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w_info = self.ongoing_messages[message_id]
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current_willing = self.chat_person_reply_willing[w_info.chat_id][w_info.person_id]
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if self.is_debug:
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self.logger.debug(f"基础意愿值：{current_willing}")
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if w_info.is_mentioned_bot:
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current_willing_ = self.mention_willing_gain / (int(current_willing) + 1)
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current_willing += current_willing_
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if self.is_debug:
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self.logger.debug(f"提及增益：{current_willing_}")
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if w_info.interested_rate > 0:
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current_willing += math.atan(w_info.interested_rate / 2) / math.pi * 2 * self.interest_willing_gain
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if self.is_debug:
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self.logger.debug(
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f"兴趣增益：{math.atan(w_info.interested_rate / 2) / math.pi * 2 * self.interest_willing_gain}"
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)
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self.chat_person_reply_willing[w_info.chat_id][w_info.person_id] = current_willing
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# 添加单聊增益
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if (
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w_info.chat_id in self.last_response_person
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and self.last_response_person[w_info.chat_id][0] == w_info.person_id
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and self.last_response_person[w_info.chat_id][1]
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):
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current_willing += self.single_chat_gain * (2 * self.last_response_person[w_info.chat_id][1] + 1)
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if self.is_debug:
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self.logger.debug(
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f"单聊增益：{self.single_chat_gain * (2 * self.last_response_person[w_info.chat_id][1] + 1)}"
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)
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current_willing += self.chat_fatigue_willing_attenuation.get(w_info.chat_id, 0)
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if self.is_debug:
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self.logger.debug(f"疲劳衰减：{self.chat_fatigue_willing_attenuation.get(w_info.chat_id, 0)}")
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chat_ongoing_messages = [msg for msg in self.ongoing_messages.values() if msg.chat_id == w_info.chat_id]
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chat_person_ogoing_messages = [msg for msg in chat_ongoing_messages if msg.person_id == w_info.person_id]
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if len(chat_person_ogoing_messages) >= 2:
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current_willing = 0
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if self.is_debug:
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self.logger.debug("进行中消息惩罚：归0")
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elif len(chat_ongoing_messages) == 2:
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current_willing -= 0.5
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if self.is_debug:
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self.logger.debug("进行中消息惩罚：-0.5")
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elif len(chat_ongoing_messages) == 3:
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current_willing -= 1.5
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if self.is_debug:
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self.logger.debug("进行中消息惩罚：-1.5")
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elif len(chat_ongoing_messages) >= 4:
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current_willing = 0
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if self.is_debug:
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self.logger.debug("进行中消息惩罚：归0")
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probability = self._willing_to_probability(current_willing)
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self.temporary_willing = current_willing
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return probability
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async def _return_to_basic_willing(self):
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"""使每个人的意愿恢复到chat基础意愿"""
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while True:
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await asyncio.sleep(3)
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async with self.lock:
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for chat_id, person_willing in self.chat_person_reply_willing.items():
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for person_id, willing in person_willing.items():
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if chat_id not in self.chat_reply_willing:
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self.logger.debug(f"聊天流{chat_id}不存在，错误")
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continue
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basic_willing = self.chat_reply_willing[chat_id]
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person_willing[person_id] = (
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basic_willing + (willing - basic_willing) * self.intention_decay_rate
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)
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def setup(self, message, chat, is_mentioned_bot, interested_rate):
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super().setup(message, chat, is_mentioned_bot, interested_rate)
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self.chat_reply_willing[chat.stream_id] = self.chat_reply_willing.get(
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chat.stream_id, self.basic_maximum_willing
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)
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self.chat_person_reply_willing[chat.stream_id] = self.chat_person_reply_willing.get(chat.stream_id, {})
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self.chat_person_reply_willing[chat.stream_id][
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self.ongoing_messages[message.message_info.message_id].person_id
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] = self.chat_person_reply_willing[chat.stream_id].get(
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self.ongoing_messages[message.message_info.message_id].person_id, self.chat_reply_willing[chat.stream_id]
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)
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current_time = time.time()
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if chat.stream_id not in self.chat_new_message_time:
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self.chat_new_message_time[chat.stream_id] = []
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self.chat_new_message_time[chat.stream_id].append(current_time)
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if len(self.chat_new_message_time[chat.stream_id]) > self.number_of_message_storage:
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self.chat_new_message_time[chat.stream_id].pop(0)
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if chat.stream_id not in self.chat_fatigue_punishment_list:
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self.chat_fatigue_punishment_list[chat.stream_id] = [
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(
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current_time,
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self.number_of_message_storage * self.basic_maximum_willing / self.expected_replies_per_min * 60,
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)
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]
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self.chat_fatigue_willing_attenuation[chat.stream_id] = (
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-2 * self.basic_maximum_willing * self.fatigue_coefficient
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)
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@staticmethod
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def _willing_to_probability(willing: float) -> float:
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"""意愿值转化为概率"""
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willing = max(0, willing)
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if willing < 2:
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probability = math.atan(willing * 2) / math.pi * 2
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elif willing < 2.5:
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probability = math.atan(willing * 4) / math.pi * 2
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else:
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probability = 1
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return probability
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async def _chat_new_message_to_change_basic_willing(self):
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"""聊天流新消息改变基础意愿"""
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update_time = 20
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while True:
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await asyncio.sleep(update_time)
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async with self.lock:
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for chat_id, message_times in self.chat_new_message_time.items():
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# 清理过期消息
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current_time = time.time()
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message_times = [
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msg_time
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for msg_time in message_times
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if current_time - msg_time
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< self.number_of_message_storage
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* self.basic_maximum_willing
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/ self.expected_replies_per_min
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* 60
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]
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self.chat_new_message_time[chat_id] = message_times
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if len(message_times) < self.number_of_message_storage:
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self.chat_reply_willing[chat_id] = self.basic_maximum_willing
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update_time = 20
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elif len(message_times) == self.number_of_message_storage:
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time_interval = current_time - message_times[0]
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basic_willing = self._basic_willing_culculate(time_interval)
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self.chat_reply_willing[chat_id] = basic_willing
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update_time = 17 * basic_willing / self.basic_maximum_willing + 3
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else:
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self.logger.debug(f"聊天流{chat_id}消息时间数量异常，数量：{len(message_times)}")
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self.chat_reply_willing[chat_id] = 0
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if self.is_debug:
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self.logger.debug(f"聊天流意愿值更新：{self.chat_reply_willing}")
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def _basic_willing_culculate(self, t: float) -> float:
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"""基础意愿值计算"""
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return math.tan(t * self.expected_replies_per_min * math.pi / 120 / self.number_of_message_storage) / 2
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async def _fatigue_attenuation(self):
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"""疲劳衰减"""
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while True:
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await asyncio.sleep(1)
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current_time = time.time()
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async with self.lock:
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for chat_id, fatigue_list in self.chat_fatigue_punishment_list.items():
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fatigue_list = [z for z in fatigue_list if current_time - z[0] < z[1]]
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self.chat_fatigue_willing_attenuation[chat_id] = 0
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for start_time, duration in fatigue_list:
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self.chat_fatigue_willing_attenuation[chat_id] += (
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self.chat_reply_willing[chat_id]
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* 2
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/ math.pi
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* math.asin(2 * (current_time - start_time) / duration - 1)
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- self.chat_reply_willing[chat_id]
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) * self.fatigue_coefficient
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async def get_willing(self, chat_id):
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return self.temporary_willing
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Reference in New Issue
Block a user