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fix：心情收到人格影响，

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This commit is contained in:
SengokuCola
2025-04-07 19:25:35 +08:00
parent a2eb877d9d
commit 7bbe7c3d61
7 changed files with 45 additions and 25 deletions
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1
.gitignore vendored
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@@ -6,6 +6,7 @@ log/
logs/
run_ad.bat
MaiBot-Napcat-Adapter-main
MaiBot-Napcat-Adapter
/test
/src/test
nonebot-maibot-adapter/

2
src/heart_flow/heartflow.py
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@@ -71,7 +71,7 @@ class Heartflow:
while True:
# 检查是否存在子心流
if not self._subheartflows:
logger.info("当前没有子心流，等待新的子心流创建...")
# logger.info("当前没有子心流，等待新的子心流创建...")
await asyncio.sleep(30) # 每分钟检查一次是否有新的子心流
continue

6
src/main.py
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@@ -132,17 +132,19 @@ class MainSystem:
async def build_memory_task(self):
"""记忆构建任务"""
while True:
await asyncio.sleep(global_config.build_memory_interval)
logger.info("正在进行记忆构建")
await HippocampusManager.get_instance().build_memory()
await asyncio.sleep(global_config.build_memory_interval)
async def forget_memory_task(self):
"""记忆遗忘任务"""
while True:
await asyncio.sleep(global_config.forget_memory_interval)
print("\033[1;32m[记忆遗忘]\033[0m 开始遗忘记忆...")
await HippocampusManager.get_instance().forget_memory(percentage=global_config.memory_forget_percentage)
print("\033[1;32m[记忆遗忘]\033[0m 记忆遗忘完成")
await asyncio.sleep(global_config.forget_memory_interval)
async def print_mood_task(self):
"""打印情绪状态"""

2
src/plugins/chat/bot.py
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@@ -9,6 +9,7 @@ from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
from ..chat_module.think_flow_chat.think_flow_chat import ThinkFlowChat
from ..chat_module.reasoning_chat.reasoning_chat import ReasoningChat
import asyncio
import traceback
# 定义日志配置
chat_config = LogConfig(
@@ -144,6 +145,7 @@ class ChatBot:
logger.error(f"未知的回复模式，请检查配置文件！！: {global_config.response_mode}")
except Exception as e:
logger.error(f"预处理消息失败: {e}")
traceback.print_exc()
# 创建全局ChatBot实例

49
src/plugins/moods/moods.py
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@@ -18,8 +18,8 @@ logger = get_module_logger("mood_manager", config=mood_config)
@dataclass
class MoodState:
valence: float # 愉悦度 (-1 到 1)
arousal: float # 唤醒度 (0 到 1)
valence: float # 愉悦度 (-1.0 到 1.0)，-1表示极度负面，1表示极度正面
arousal: float # 唤醒度 (0.0 到 1.0)，0表示完全平静，1表示极度兴奋
text: str # 心情文本描述
@@ -126,28 +126,43 @@ class MoodManager:
time.sleep(update_interval)
def _apply_decay(self) -> None:
"""应用情绪衰减"""
"""应用情绪衰减，正向和负向情绪分开计算"""
current_time = time.time()
time_diff = current_time - self.last_update
agreeableness_factor = 1
agreeableness_bias = 0
neuroticism_factor = 0.5
# 获取人格特质
personality = Individuality.get_instance().personality
if personality:
# 神经质：0.5为默认值，0为极低，1为极高
# 神经质越高，情绪变化越快（衰减率越高）
neuroticism_factor = 0.5 + (personality.neuroticism - 0.5) * 0.5 # 范围在0.25-0.75之间
# 宜人性：0.5为默认值，0为极低，1为极高
# 宜人性越低，越容易走向负面情绪（向负值偏移）
agreeableness_bias = (0.5 - personality.agreeableness) * 0.2 # 范围在-0.1到0.1之间
else:
neuroticism_factor = 0.5 # 默认值
agreeableness_bias = 0.0
# 神经质：影响情绪变化速度
neuroticism_factor = 1 + (personality.neuroticism - 0.5) * 0.5
agreeableness_factor = 1 + (personality.agreeableness - 0.5) * 0.5
# Valence 向中性（0）回归，考虑宜人性偏差
valence_target = agreeableness_bias
self.current_mood.valence = valence_target + (self.current_mood.valence - valence_target) * math.exp(
-self.decay_rate_valence * time_diff * neuroticism_factor
)
# 宜人性：影响情绪基准线
if personality.agreeableness < 0.2:
agreeableness_bias = (personality.agreeableness - 0.2) * 2
elif personality.agreeableness > 0.8:
agreeableness_bias = (personality.agreeableness - 0.8) * 2
else:
agreeableness_bias = 0
# 分别计算正向和负向的衰减率
if self.current_mood.valence >= 0:
# 正向情绪衰减
decay_rate_positive = self.decay_rate_valence * (1/agreeableness_factor)
valence_target = 0 + agreeableness_bias
self.current_mood.valence = valence_target + (self.current_mood.valence - valence_target) * math.exp(
-decay_rate_positive * time_diff * neuroticism_factor
)
else:
# 负向情绪衰减
decay_rate_negative = self.decay_rate_valence * agreeableness_factor
valence_target = 0 + agreeableness_bias
self.current_mood.valence = valence_target + (self.current_mood.valence - valence_target) * math.exp(
-decay_rate_negative * time_diff * neuroticism_factor
)
# Arousal 向中性（0.5）回归
arousal_target = 0.5

10
template/bot_config_template.toml
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@@ -33,7 +33,7 @@ talk_allowed = [
talk_frequency_down = [] #降低回复频率的群号码
ban_user_id = [] #禁止回复和读取消息的QQ号
[personality]
[personality] #未完善
personality_core = "用一句话或几句话描述人格的核心特点" # 建议20字以内，谁再写3000字小作文敲谁脑袋
personality_sides = [
"用一句话或几句话描述人格的一些细节",
@@ -44,7 +44,7 @@ personality_sides = [
]# 条数任意
[identity] #アイデンティティがない 生まれないらららら
# 兴趣爱好
# 兴趣爱好 未完善，有些条目未使用
identity_detail = [
"身份特点",
"身份特点",
@@ -73,7 +73,7 @@ response_mode = "heart_flow" # 回复策略，可选值：heart_flow（心流）
model_r1_probability = 0.7 # 麦麦回答时选择主要回复模型1 模型的概率
model_v3_probability = 0.3 # 麦麦回答时选择次要回复模型2 模型的概率
[heartflow] # 注意：可能会消耗大量token，请谨慎开启
[heartflow] # 注意：可能会消耗大量token，请谨慎开启，仅会使用v3模型
sub_heart_flow_update_interval = 60 # 子心流更新频率，间隔 单位秒
sub_heart_flow_freeze_time = 120 # 子心流冻结时间，超过这个时间没有回复，子心流会冻结，间隔 单位秒
sub_heart_flow_stop_time = 600 # 子心流停止时间，超过这个时间没有回复，子心流会停止，间隔 单位秒
@@ -99,7 +99,7 @@ ban_msgs_regex = [
[willing]
willing_mode = "classical" # 回复意愿模式 经典模式
# willing_mode = "dynamic" # 动态模式(可能不兼容)
# willing_mode = "dynamic" # 动态模式(不兼容，需要维护)
# willing_mode = "custom" # 自定义模式（可自行调整
response_willing_amplifier = 1 # 麦麦回复意愿放大系数，一般为1
response_interested_rate_amplifier = 1 # 麦麦回复兴趣度放大系数,听到记忆里的内容时放大系数
@@ -165,7 +165,7 @@ enable = true
[experimental]
enable_friend_chat = false # 是否启用好友聊天
pfc_chatting = false # 是否启用PFC聊天
pfc_chatting = false # 是否启用PFC聊天，该功能仅作用于私聊，与回复模式独立
#下面的模型若使用硅基流动则不需要更改，使用ds官方则改成.env自定义的宏，使用自定义模型则选择定位相似的模型自己填写
#推理模型

0
配置文件修改器.exe → 配置文件修改器（临时测试用，以config为准）.exe
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