from src.common.logger import get_module_logger, LogConfig, RELATION_STYLE_CONFIG from ..chat.chat_stream import ChatStream import math from bson.decimal128 import Decimal128 from .person_info import person_info_manager import time import re import traceback relationship_config = LogConfig( # 使用关系专用样式 console_format=RELATION_STYLE_CONFIG["console_format"], file_format=RELATION_STYLE_CONFIG["file_format"], ) logger = get_module_logger("rel_manager", config=relationship_config) class RelationshipManager: def __init__(self): self.positive_feedback_value = 0 # 正反馈系统 self.gain_coefficient = [1.0, 1.0, 1.1, 1.2, 1.4, 1.7, 1.9, 2.0] self._mood_manager = None @property def mood_manager(self): if self._mood_manager is None: from ..moods.moods import MoodManager # 延迟导入 self._mood_manager = MoodManager.get_instance() return self._mood_manager def positive_feedback_sys(self, label: str, stance: str): """正反馈系统，通过正反馈系数增益情绪变化，根据情绪再影响关系变更""" positive_list = [ "开心", "惊讶", "害羞", ] negative_list = [ "愤怒", "悲伤", "恐惧", "厌恶", ] if label in positive_list: if 7 > self.positive_feedback_value >= 0: self.positive_feedback_value += 1 elif self.positive_feedback_value < 0: self.positive_feedback_value = 0 elif label in negative_list: if -7 < self.positive_feedback_value <= 0: self.positive_feedback_value -= 1 elif self.positive_feedback_value > 0: self.positive_feedback_value = 0 if abs(self.positive_feedback_value) > 1: logger.info(f"触发mood变更增益，当前增益系数：{self.gain_coefficient[abs(self.positive_feedback_value)]}") def mood_feedback(self, value): """情绪反馈""" mood_manager = self.mood_manager mood_gain = (mood_manager.get_current_mood().valence) ** 2 * math.copysign( 1, value * mood_manager.get_current_mood().valence ) value += value * mood_gain logger.info(f"当前relationship增益系数：{mood_gain:.3f}") return value def feedback_to_mood(self, mood_value): """对情绪的反馈""" coefficient = self.gain_coefficient[abs(self.positive_feedback_value)] if mood_value > 0 and self.positive_feedback_value > 0 or mood_value < 0 and self.positive_feedback_value < 0: return mood_value * coefficient else: return mood_value / coefficient async def is_known_some_one(self, platform , user_id): """判断是否认识某人""" is_known = person_info_manager.is_person_known(platform, user_id) return is_known async def is_qved_name(self, platform , user_id): """判断是否认识某人""" person_id = person_info_manager.get_person_id(platform, user_id) is_qved = await person_info_manager.has_one_field(person_id, "person_name") old_name = await person_info_manager.get_value(person_id, "person_name") print(f"old_name: {old_name}") print(f"is_qved: {is_qved}") if is_qved and old_name != None: return True else: return False async def first_knowing_some_one(self, platform , user_id, user_nickname, user_cardname, user_avatar): """判断是否认识某人""" person_id = person_info_manager.get_person_id(platform,user_id) await person_info_manager.update_one_field(person_id, "nickname", user_nickname) # await person_info_manager.update_one_field(person_id, "user_cardname", user_cardname) # await person_info_manager.update_one_field(person_id, "user_avatar", user_avatar) await person_info_manager.qv_person_name(person_id, user_nickname, user_cardname, user_avatar) async def convert_all_person_sign_to_person_name(self,input_text:str): """将所有人的格式转换为person_name""" try: # 使用正则表达式匹配格式 all_person = person_info_manager.person_name_list pattern = r'<([^:]+):(\d+):([^:]+):([^>]+)>' matches = re.findall(pattern, input_text) # 遍历匹配结果，将替换为person_name result_text = input_text for platform, user_id, nickname, cardname in matches: person_id = person_info_manager.get_person_id(platform, user_id) # 默认使用昵称作为人名 person_name = nickname.strip() if nickname.strip() else cardname.strip() if person_id in all_person: if all_person[person_id] != None: person_name = all_person[person_id] print(f"将<{platform}:{user_id}:{nickname}:{cardname}>替换为{person_name}") result_text = result_text.replace(f"<{platform}:{user_id}:{nickname}:{cardname}>", person_name) return result_text except Exception as e: logger.error(traceback.format_exc()) return input_text async def calculate_update_relationship_value(self, chat_stream: ChatStream, label: str, stance: str) -> tuple: """计算并变更关系值 新的关系值变更计算方式： 将关系值限定在-1000到1000 对于关系值的变更，期望： 1.向两端逼近时会逐渐减缓 2.关系越差，改善越难，关系越好，恶化越容易 3.人维护关系的精力往往有限，所以当高关系值用户越多，对于中高关系值用户增长越慢 4.连续正面或负面情感会正反馈 返回： 用户昵称，变更值，变更后关系等级 """ stancedict = { "支持": 0, "中立": 1, "反对": 2, } valuedict = { "开心": 1.5, "愤怒": -2.0, "悲伤": -0.5, "惊讶": 0.6, "害羞": 2.0, "平静": 0.3, "恐惧": -1.5, "厌恶": -1.0, "困惑": 0.5, } person_id = person_info_manager.get_person_id(chat_stream.user_info.platform, chat_stream.user_info.user_id) data = { "platform": chat_stream.user_info.platform, "user_id": chat_stream.user_info.user_id, "nickname": chat_stream.user_info.user_nickname, "konw_time": int(time.time()), } old_value = await person_info_manager.get_value(person_id, "relationship_value") old_value = self.ensure_float(old_value, person_id) if old_value > 1000: old_value = 1000 elif old_value < -1000: old_value = -1000 value = valuedict[label] if old_value >= 0: if valuedict[label] >= 0 and stancedict[stance] != 2: value = value * math.cos(math.pi * old_value / 2000) if old_value > 500: rdict = await person_info_manager.get_specific_value_list("relationship_value", lambda x: x > 700) high_value_count = len(rdict) if old_value > 700: value *= 3 / (high_value_count + 2) # 排除自己 else: value *= 3 / (high_value_count + 3) elif valuedict[label] < 0 and stancedict[stance] != 0: value = value * math.exp(old_value / 2000) else: value = 0 elif old_value < 0: if valuedict[label] >= 0 and stancedict[stance] != 2: value = value * math.exp(old_value / 2000) elif valuedict[label] < 0 and stancedict[stance] != 0: value = value * math.cos(math.pi * old_value / 2000) else: value = 0 self.positive_feedback_sys(label, stance) value = self.mood_feedback(value) level_num = self.calculate_level_num(old_value + value) relationship_level = ["厌恶", "冷漠", "一般", "友好", "喜欢", "暧昧"] logger.info( f"用户: {chat_stream.user_info.user_nickname}" f"当前关系: {relationship_level[level_num]}, " f"关系值: {old_value:.2f}, " f"当前立场情感: {stance}-{label}, " f"变更: {value:+.5f}" ) await person_info_manager.update_one_field(person_id, "relationship_value", old_value + value, data) return chat_stream.user_info.user_nickname, value, relationship_level[level_num] async def calculate_update_relationship_value_with_reason( self, chat_stream: ChatStream, label: str, stance: str, reason: str ) -> tuple: """计算并变更关系值 新的关系值变更计算方式： 将关系值限定在-1000到1000 对于关系值的变更，期望： 1.向两端逼近时会逐渐减缓 2.关系越差，改善越难，关系越好，恶化越容易 3.人维护关系的精力往往有限，所以当高关系值用户越多，对于中高关系值用户增长越慢 4.连续正面或负面情感会正反馈 返回： 用户昵称，变更值，变更后关系等级 """ stancedict = { "支持": 0, "中立": 1, "反对": 2, } valuedict = { "开心": 1.5, "愤怒": -2.0, "悲伤": -0.5, "惊讶": 0.6, "害羞": 2.0, "平静": 0.3, "恐惧": -1.5, "厌恶": -1.0, "困惑": 0.5, } person_id = person_info_manager.get_person_id(chat_stream.user_info.platform, chat_stream.user_info.user_id) data = { "platform": chat_stream.user_info.platform, "user_id": chat_stream.user_info.user_id, "nickname": chat_stream.user_info.user_nickname, "konw_time": int(time.time()), } old_value = await person_info_manager.get_value(person_id, "relationship_value") old_value = self.ensure_float(old_value, person_id) if old_value > 1000: old_value = 1000 elif old_value < -1000: old_value = -1000 value = valuedict[label] if old_value >= 0: if valuedict[label] >= 0 and stancedict[stance] != 2: value = value * math.cos(math.pi * old_value / 2000) if old_value > 500: rdict = await person_info_manager.get_specific_value_list("relationship_value", lambda x: x > 700) high_value_count = len(rdict) if old_value > 700: value *= 3 / (high_value_count + 2) # 排除自己 else: value *= 3 / (high_value_count + 3) elif valuedict[label] < 0 and stancedict[stance] != 0: value = value * math.exp(old_value / 2000) else: value = 0 elif old_value < 0: if valuedict[label] >= 0 and stancedict[stance] != 2: value = value * math.exp(old_value / 2000) elif valuedict[label] < 0 and stancedict[stance] != 0: value = value * math.cos(math.pi * old_value / 2000) else: value = 0 self.positive_feedback_sys(label, stance) value = self.mood_feedback(value) level_num = self.calculate_level_num(old_value + value) relationship_level = ["厌恶", "冷漠", "一般", "友好", "喜欢", "暧昧"] logger.info( f"用户: {chat_stream.user_info.user_nickname}" f"当前关系: {relationship_level[level_num]}, " f"关系值: {old_value:.2f}, " f"当前立场情感: {stance}-{label}, " f"变更: {value:+.5f}" ) await person_info_manager.update_one_field(person_id, "relationship_value", old_value + value, data) return chat_stream.user_info.user_nickname, value, relationship_level[level_num] async def build_relationship_info(self, person) -> str: person_id = person_info_manager.get_person_id(person[0], person[1]) relationship_value = await person_info_manager.get_value(person_id, "relationship_value") level_num = self.calculate_level_num(relationship_value) relationship_level = ["厌恶", "冷漠", "一般", "友好", "喜欢", "暧昧"] relation_prompt2_list = [ "厌恶回应", "冷淡回复", "保持理性", "愿意回复", "积极回复", "无条件支持", ] return ( f"你对昵称为'({person[1]}){person[2]}'的用户的态度为{relationship_level[level_num]}，" f"回复态度为{relation_prompt2_list[level_num]}，关系等级为{level_num}。" ) def calculate_level_num(self, relationship_value) -> int: """关系等级计算""" if -1000 <= relationship_value < -227: level_num = 0 elif -227 <= relationship_value < -73: level_num = 1 elif -73 <= relationship_value < 227: level_num = 2 elif 227 <= relationship_value < 587: level_num = 3 elif 587 <= relationship_value < 900: level_num = 4 elif 900 <= relationship_value <= 1000: level_num = 5 else: level_num = 5 if relationship_value > 1000 else 0 return level_num def ensure_float(self, value, person_id): """确保返回浮点数，转换失败返回0.0""" if isinstance(value, float): return value try: return float(value.to_decimal() if isinstance(value, Decimal128) else value) except (ValueError, TypeError, AttributeError): logger.warning(f"[关系管理] {person_id}值转换失败（原始值：{value}），已重置为0") return 0.0 relationship_manager = RelationshipManager()