241 lines
8.1 KiB
Python
241 lines
8.1 KiB
Python
import math
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import threading
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import time
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from dataclasses import dataclass
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from ..chat.config import global_config
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from src.common.logger import get_module_logger
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logger = get_module_logger("mood_manager")
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@dataclass
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class MoodState:
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valence: float # 愉悦度 (-1 到 1)
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arousal: float # 唤醒度 (0 到 1)
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text: str # 心情文本描述
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class MoodManager:
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_instance = None
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_lock = threading.Lock()
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def __new__(cls):
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with cls._lock:
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if cls._instance is None:
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cls._instance = super().__new__(cls)
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cls._instance._initialized = False
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return cls._instance
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def __init__(self):
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# 确保初始化代码只运行一次
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if self._initialized:
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return
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self._initialized = True
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# 初始化心情状态
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self.current_mood = MoodState(valence=0.0, arousal=0.5, text="平静")
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# 从配置文件获取衰减率
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self.decay_rate_valence = 1 - global_config.mood_decay_rate # 愉悦度衰减率
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self.decay_rate_arousal = 1 - global_config.mood_decay_rate # 唤醒度衰减率
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# 上次更新时间
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self.last_update = time.time()
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# 线程控制
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self._running = False
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self._update_thread = None
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# 情绪词映射表 (valence, arousal)
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self.emotion_map = {
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"happy": (0.8, 0.6), # 高愉悦度，中等唤醒度
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"angry": (-0.7, 0.7), # 负愉悦度，高唤醒度
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"sad": (-0.6, 0.3), # 负愉悦度，低唤醒度
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"surprised": (0.4, 0.8), # 中等愉悦度，高唤醒度
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"disgusted": (-0.8, 0.5), # 高负愉悦度，中等唤醒度
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"fearful": (-0.7, 0.6), # 负愉悦度，高唤醒度
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"neutral": (0.0, 0.5), # 中性愉悦度，中等唤醒度
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}
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# 情绪文本映射表
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self.mood_text_map = {
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# 第一象限：高唤醒，正愉悦
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(0.5, 0.7): "兴奋",
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(0.3, 0.8): "快乐",
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(0.2, 0.65): "满足",
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# 第二象限：高唤醒，负愉悦
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(-0.5, 0.7): "愤怒",
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(-0.3, 0.8): "焦虑",
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(-0.2, 0.65): "烦躁",
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# 第三象限：低唤醒，负愉悦
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(-0.5, 0.3): "悲伤",
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(-0.3, 0.35): "疲倦",
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(-0.4, 0.15): "疲倦",
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# 第四象限：低唤醒，正愉悦
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(0.2, 0.45): "平静",
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(0.3, 0.4): "安宁",
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(0.5, 0.3): "放松",
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}
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@classmethod
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def get_instance(cls) -> "MoodManager":
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"""获取MoodManager的单例实例"""
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if cls._instance is None:
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cls._instance = MoodManager()
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return cls._instance
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def start_mood_update(self, update_interval: float = 1.0) -> None:
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"""
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启动情绪更新线程
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:param update_interval: 更新间隔（秒）
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"""
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if self._running:
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return
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self._running = True
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self._update_thread = threading.Thread(
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target=self._continuous_mood_update, args=(update_interval,), daemon=True
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)
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self._update_thread.start()
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def stop_mood_update(self) -> None:
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"""停止情绪更新线程"""
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self._running = False
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if self._update_thread and self._update_thread.is_alive():
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self._update_thread.join()
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def _continuous_mood_update(self, update_interval: float) -> None:
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"""
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持续更新情绪状态的线程函数
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:param update_interval: 更新间隔（秒）
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"""
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while self._running:
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self._apply_decay()
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self._update_mood_text()
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time.sleep(update_interval)
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def _apply_decay(self) -> None:
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"""应用情绪衰减"""
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current_time = time.time()
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time_diff = current_time - self.last_update
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# Valence 向中性（0）回归
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valence_target = 0.0
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self.current_mood.valence = valence_target + (self.current_mood.valence - valence_target) * math.exp(
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-self.decay_rate_valence * time_diff
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)
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# Arousal 向中性（0.5）回归
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arousal_target = 0.5
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self.current_mood.arousal = arousal_target + (self.current_mood.arousal - arousal_target) * math.exp(
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-self.decay_rate_arousal * time_diff
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)
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# 确保值在合理范围内
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self.current_mood.valence = max(-1.0, min(1.0, self.current_mood.valence))
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self.current_mood.arousal = max(0.0, min(1.0, self.current_mood.arousal))
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self.last_update = current_time
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def update_mood_from_text(self, text: str, valence_change: float, arousal_change: float) -> None:
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"""根据输入文本更新情绪状态"""
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self.current_mood.valence += valence_change
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self.current_mood.arousal += arousal_change
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# 限制范围
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self.current_mood.valence = max(-1.0, min(1.0, self.current_mood.valence))
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self.current_mood.arousal = max(0.0, min(1.0, self.current_mood.arousal))
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self._update_mood_text()
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def set_mood_text(self, text: str) -> None:
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"""直接设置心情文本"""
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self.current_mood.text = text
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def _update_mood_text(self) -> None:
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"""根据当前情绪状态更新文本描述"""
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closest_mood = None
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min_distance = float("inf")
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for (v, a), text in self.mood_text_map.items():
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distance = math.sqrt((self.current_mood.valence - v) ** 2 + (self.current_mood.arousal - a) ** 2)
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if distance < min_distance:
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min_distance = distance
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closest_mood = text
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if closest_mood:
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self.current_mood.text = closest_mood
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def update_mood_by_user(self, user_id: str, valence_change: float, arousal_change: float) -> None:
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"""根据用户ID更新情绪状态"""
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# 这里可以根据用户ID添加特定的权重或规则
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weight = 1.0 # 默认权重
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self.current_mood.valence += valence_change * weight
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self.current_mood.arousal += arousal_change * weight
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# 限制范围
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self.current_mood.valence = max(-1.0, min(1.0, self.current_mood.valence))
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self.current_mood.arousal = max(0.0, min(1.0, self.current_mood.arousal))
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self._update_mood_text()
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def get_prompt(self) -> str:
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"""根据当前情绪状态生成提示词"""
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base_prompt = f"当前心情：{self.current_mood.text}。"
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# 根据情绪状态添加额外的提示信息
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if self.current_mood.valence > 0.5:
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base_prompt += "你现在心情很好，"
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elif self.current_mood.valence < -0.5:
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base_prompt += "你现在心情不太好，"
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if self.current_mood.arousal > 0.7:
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base_prompt += "情绪比较激动。"
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elif self.current_mood.arousal < 0.3:
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base_prompt += "情绪比较平静。"
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return base_prompt
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def get_current_mood(self) -> MoodState:
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"""获取当前情绪状态"""
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return self.current_mood
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def print_mood_status(self) -> None:
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"""打印当前情绪状态"""
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logger.info(
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f"[情绪状态]愉悦度: {self.current_mood.valence:.2f}, "
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f"唤醒度: {self.current_mood.arousal:.2f}, "
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f"心情: {self.current_mood.text}"
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)
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def update_mood_from_emotion(self, emotion: str, intensity: float = 1.0) -> None:
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"""
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根据情绪词更新心情状态
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:param emotion: 情绪词（如'happy', 'sad'等）
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:param intensity: 情绪强度（0.0-1.0）
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"""
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if emotion not in self.emotion_map:
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return
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valence_change, arousal_change = self.emotion_map[emotion]
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# 应用情绪强度
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valence_change *= intensity
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arousal_change *= intensity
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# 更新当前情绪状态
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self.current_mood.valence += valence_change
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self.current_mood.arousal += arousal_change
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# 限制范围
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self.current_mood.valence = max(-1.0, min(1.0, self.current_mood.valence))
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self.current_mood.arousal = max(0.0, min(1.0, self.current_mood.arousal))
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self._update_mood_text()
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