fix:修复表达权重爆炸的问题,修复数据库Bug
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@@ -108,13 +108,13 @@ class ExpressionSelector:
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return selected_style, selected_grammar, selected_personality
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def update_expression_count(self, chat_id: str, expression: Dict[str, str], base_multiplier: float = 1.5):
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def update_expression_count(self, chat_id: str, expression: Dict[str, str], increment: float = 0.1):
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"""更新表达方式的count值
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Args:
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chat_id: 聊天ID
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expression: 表达方式字典
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base_multiplier: 基础倍数,当count=1时使用此倍数
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increment: 增量值,默认0.1
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"""
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if expression.get("type") == "style_personality":
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# personality表达方式存储在全局文件中
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@@ -142,27 +142,14 @@ class ExpressionSelector:
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"style"
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):
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current_count = expr.get("count", 1)
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# 计算动态倍数:count值越高,增加倍数越小
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if current_count <= 1:
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# count <= 1时使用基础倍数
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dynamic_multiplier = base_multiplier
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else:
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# count > 1时,倍数逐渐降低
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# 使用公式:base_multiplier / (1 + (count - 1) * 0.3)
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# 这样count=2时倍数约为1.15,count=5时倍数约为1.06
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decay_factor = 0.3
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dynamic_multiplier = base_multiplier / (1 + (current_count - 1) * decay_factor)
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# 确保倍数不低于1.01(至少要有一点增长)
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dynamic_multiplier = max(dynamic_multiplier, 1.01)
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new_count = current_count * dynamic_multiplier
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# 简单加0.1,但限制最高为5
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new_count = min(current_count + increment, 5.0)
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expr["count"] = new_count
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expr["last_active_time"] = time.time()
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logger.debug(
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f"表达方式激活: 原count={current_count:.2f}, 倍数={dynamic_multiplier:.3f}, 新count={new_count:.2f}"
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logger.info(
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f"表达方式激活: 原count={current_count:.2f}, 增量={increment}, 新count={new_count:.2f}"
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)
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break
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@@ -252,8 +239,8 @@ class ExpressionSelector:
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expression = all_expressions[idx - 1] # 索引从1开始
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valid_expressions.append(expression)
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# 对选中的表达方式count数*1.5
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self.update_expression_count(chat_id, expression, 1.5)
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# 对选中的表达方式count数+0.1
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self.update_expression_count(chat_id, expression, 0.1)
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# logger.info(f"LLM从{len(all_expressions)}个情境中选择了{len(valid_expressions)}个")
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return valid_expressions
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@@ -293,7 +293,7 @@ class PersonImpressionpProcessor(BaseProcessor):
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}
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segments.append(new_segment)
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person_name = get_person_info_manager().get_value(person_id, "person_name")
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person_name = get_person_info_manager().get_value(person_id, "person_name") or person_id
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logger.info(
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f"{self.log_prefix} 眼熟用户 {person_name} 在 {time.strftime('%H:%M:%S', time.localtime(potential_start_time))} - {time.strftime('%H:%M:%S', time.localtime(message_time))} 之间有 {new_segment['message_count']} 条消息"
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)
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@@ -341,6 +341,7 @@ class PersonImpressionpProcessor(BaseProcessor):
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"message_count": self._count_messages_in_timerange(potential_start_time, message_time),
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}
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segments.append(new_segment)
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person_name = get_person_info_manager().get_value(person_id, "person_name") or person_id
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logger.info(f"{self.log_prefix} 重新眼熟用户 {person_name} 创建新消息段(超过10条消息间隔): {new_segment}")
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self._save_cache()
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@@ -500,20 +500,25 @@ class RelationshipManager:
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new_familiarity_value = int(relation_value_json.get("familiarity_value", 0))
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new_liking_value = int(relation_value_json.get("liking_value", 50))
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# 获取当前的关系值
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old_familiarity_value = await person_info_manager.get_value(person_id, "familiarity_value") or 0
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liking_value = await person_info_manager.get_value(person_id, "liking_value") or 50
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# 更新熟悉度
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if new_familiarity_value > 25:
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old_familiarity_value = await person_info_manager.get_value(person_id, "familiarity_value") or 0
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old_familiarity_value += new_familiarity_value - 25 / 75
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familiarity_value = old_familiarity_value + (new_familiarity_value - 25) / 75
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else:
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familiarity_value = old_familiarity_value
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# 更新好感度
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if new_liking_value > 50:
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liking_value = await person_info_manager.get_value(person_id, "liking_value") or 50
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liking_value += new_liking_value - 50 / 50
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if new_liking_value < 50:
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liking_value = await person_info_manager.get_value(person_id, "liking_value") or 50
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liking_value -= (50 - new_liking_value / 50) * 1.5
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liking_value += (new_liking_value - 50) / 50
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elif new_liking_value < 50:
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liking_value -= (50 - new_liking_value) / 50 * 1.5
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await person_info_manager.update_one_field(person_id, "familiarity_value", liking_value)
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await person_info_manager.update_one_field(person_id, "familiarity_value", familiarity_value)
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await person_info_manager.update_one_field(person_id, "liking_value", liking_value)
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logger.info(f"更新了与 {person_name} 的关系值: 熟悉度={liking_value}, 好感度={liking_value}")
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logger.info(f"更新了与 {person_name} 的关系值: 熟悉度={familiarity_value}, 好感度={liking_value}")
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except (json.JSONDecodeError, ValueError, TypeError) as e:
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logger.error(f"解析relation_value JSON失败或值无效: {e}, 响应: {relation_value_response}")
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