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