fix:文件路径合理化

This commit is contained in:
SengokuCola
2025-05-23 16:00:26 +08:00
parent 821f2ed702
commit 9625750e62
39 changed files with 63 additions and 61 deletions

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@@ -0,0 +1,359 @@
from src.common.logger_manager import get_logger
from src.chat.message_receive.chat_stream import ChatStream
import math
from bson.decimal128 import Decimal128
from src.person_info.person_info import person_info_manager
import time
import random
from maim_message import UserInfo
from src.manager.mood_manager import mood_manager
# import re
# import traceback
logger = get_logger("relation")
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:
self._mood_manager = mood_manager
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.current_mood.valence**2 * math.copysign(1, value * mood_manager.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
@staticmethod
async def is_known_some_one(platform, user_id):
"""判断是否认识某人"""
is_known = await person_info_manager.is_person_known(platform, user_id)
return is_known
@staticmethod
async def is_qved_name(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 is not None:
return True
else:
return False
@staticmethod
async def first_knowing_some_one(
platform: str, user_id: str, user_nickname: str, user_cardname: str, user_avatar: str
):
"""判断是否认识某人"""
person_id = person_info_manager.get_person_id(platform, user_id)
data = {
"platform": platform,
"user_id": user_id,
"nickname": user_nickname,
"konw_time": int(time.time()),
}
await person_info_manager.update_one_field(
person_id=person_id, field_name="nickname", value=user_nickname, data=data
)
await person_info_manager.qv_person_name(
person_id=person_id, user_nickname=user_nickname, user_cardname=user_cardname, user_avatar=user_avatar
)
async def calculate_update_relationship_value(self, user_info: UserInfo, platform: str, label: str, stance: str):
"""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(platform, user_info.user_id)
data = {
"platform": platform,
"user_id": user_info.user_id,
"nickname": 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: {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)
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, is_id: bool = False) -> str:
if is_id:
person_id = person
else:
# print(f"person: {person}")
person_id = person_info_manager.get_person_id(person[0], person[1])
person_name = await person_info_manager.get_value(person_id, "person_name")
# print(f"person_name: {person_name}")
relationship_value = await person_info_manager.get_value(person_id, "relationship_value")
level_num = self.calculate_level_num(relationship_value)
if level_num == 0 or level_num == 5:
relationship_level = ["厌恶", "冷漠以对", "认识", "友好对待", "喜欢", "暧昧"]
relation_prompt2_list = [
"忽视的回应",
"冷淡回复",
"保持理性",
"愿意回复",
"积极回复",
"友善和包容的回复",
]
return f"{relationship_level[level_num]}{person_name},打算{relation_prompt2_list[level_num]}\n"
elif level_num == 2:
return ""
else:
if random.random() < 0.6:
relationship_level = ["厌恶", "冷漠以对", "认识", "友好对待", "喜欢", "暧昧"]
relation_prompt2_list = [
"忽视的回应",
"冷淡回复",
"保持理性",
"愿意回复",
"积极回复",
"友善和包容的回复",
]
return f"{relationship_level[level_num]}{person_name},打算{relation_prompt2_list[level_num]}\n"
else:
return ""
@staticmethod
def calculate_level_num(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
@staticmethod
def ensure_float(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()