feat(chat): 实现动态消息分发系统和消息打断机制

添加基于focus_energy的动态消息分发周期调整功能，根据聊天流兴趣度智能调整检查间隔
实现消息打断系统，允许高优先级消息打断正在处理的任务
重构ChatStream类，引入动态兴趣度计算系统，包括消息兴趣度统计和用户关系评分
扩展数据库模型和配置系统以支持新功能，增加相关配置项
更新版本号至0.11.0-alpha-1以反映重大功能更新

src/chat/message_manager/message_manager.py

@@ -4,6 +4,7 @@
 """
 
 import asyncio
+import random
 import time
 import traceback
 from typing import Dict, Optional, Any, TYPE_CHECKING
@@ -15,6 +16,7 @@ from src.chat.chatter_manager import ChatterManager
 from src.chat.planner_actions.action_manager import ChatterActionManager
 from .sleep_manager.sleep_manager import SleepManager
 from .sleep_manager.wakeup_manager import WakeUpManager
+from src.config.config import global_config
 
 if TYPE_CHECKING:
     from src.common.data_models.message_manager_data_model import StreamContext
@@ -68,7 +70,7 @@ class MessageManager:
         # 停止管理器任务
         if self.manager_task and not self.manager_task.done():
             self.manager_task.cancel()
-        
+
         await self.wakeup_manager.stop()
 
         logger.info("消息管理器已停止")
@@ -87,14 +89,22 @@ class MessageManager:
         logger.debug(f"添加消息到聊天流 {stream_id}: {message.message_id}")
 
     async def _manager_loop(self):
-        """管理器主循环"""
+        """管理器主循环 - 独立聊天流分发周期版本"""
         while self.is_running:
             try:
                 # 更新睡眠状态
                 await self.sleep_manager.update_sleep_state(self.wakeup_manager)
-                
-                await self._check_all_streams()
-                await asyncio.sleep(self.check_interval)
+
+                # 执行独立分发周期的检查
+                await self._check_streams_with_individual_intervals()
+
+                # 计算下次检查时间（使用最小间隔或固定间隔）
+                if global_config.chat.dynamic_distribution_enabled:
+                    next_check_delay = self._calculate_next_manager_delay()
+                else:
+                    next_check_delay = self.check_interval
+
+                await asyncio.sleep(next_check_delay)
             except asyncio.CancelledError:
                 break
             except Exception as e:
@@ -137,12 +147,14 @@ class MessageManager:
             unread_messages = context.get_unread_messages()
             if not unread_messages:
                 return
-            
+
+            # 检查是否需要打断现有处理
+            await self._check_and_handle_interruption(context, stream_id)
+
             # --- 睡眠状态检查 ---
-            from .sleep_manager.sleep_state import SleepState
             if self.sleep_manager.is_sleeping():
                 logger.info(f"Bot正在睡觉，检查聊天流 {stream_id} 是否有唤醒触发器。")
-                
+
                 was_woken_up = False
                 is_private = context.is_private_chat()
 
@@ -151,12 +163,12 @@ class MessageManager:
                     if is_private or is_mentioned:
                         if self.wakeup_manager.add_wakeup_value(is_private, is_mentioned):
                             was_woken_up = True
-                            break # 一旦被吵醒，就跳出循环并处理消息
-                
+                            break  # 一旦被吵醒，就跳出循环并处理消息
+
                 if not was_woken_up:
                     logger.debug(f"聊天流 {stream_id} 中没有唤醒触发器，保持消息未读状态。")
-                    return # 退出，不处理消息
-                
+                    return  # 退出，不处理消息
+
                 logger.info(f"Bot被聊天流 {stream_id} 中的消息吵醒，继续处理。")
             # --- 睡眠状态检查结束 ---
 
@@ -251,6 +263,345 @@ class MessageManager:
             del self.stream_contexts[stream_id]
             logger.info(f"清理不活跃聊天流: {stream_id}")
 
+    async def _check_and_handle_interruption(self, context: StreamContext, stream_id: str):
+        """检查并处理消息打断"""
+        if not global_config.chat.interruption_enabled:
+            return
+
+        # 检查是否有正在进行的处理任务
+        if context.processing_task and not context.processing_task.done():
+            # 计算打断概率
+            interruption_probability = context.calculate_interruption_probability(
+                global_config.chat.interruption_max_limit, global_config.chat.interruption_probability_factor
+            )
+
+            # 根据概率决定是否打断
+            if random.random() < interruption_probability:
+                logger.info(f"聊天流 {stream_id} 触发消息打断，打断概率: {interruption_probability:.2f}")
+
+                # 取消现有任务
+                context.processing_task.cancel()
+                try:
+                    await context.processing_task
+                except asyncio.CancelledError:
+                    pass
+
+                # 增加打断计数并应用afc阈值降低
+                context.increment_interruption_count()
+                context.apply_interruption_afc_reduction(global_config.chat.interruption_afc_reduction)
+                logger.info(
+                    f"聊天流 {stream_id} 已打断，当前打断次数: {context.interruption_count}/{global_config.chat.interruption_max_limit}, afc阈值调整: {context.get_afc_threshold_adjustment()}"
+                )
+            else:
+                logger.debug(f"聊天流 {stream_id} 未触发打断，打断概率: {interruption_probability:.2f}")
+
+    def _calculate_dynamic_distribution_interval(self) -> float:
+        """根据所有活跃聊天流的focus_energy动态计算分发周期"""
+        if not global_config.chat.dynamic_distribution_enabled:
+            return self.check_interval  # 使用固定间隔
+
+        if not self.stream_contexts:
+            return self.check_interval  # 默认间隔
+
+        # 计算活跃流的平均focus_energy
+        active_streams = [ctx for ctx in self.stream_contexts.values() if ctx.is_active]
+        if not active_streams:
+            return self.check_interval
+
+        total_focus_energy = 0.0
+        max_focus_energy = 0.0
+        stream_count = 0
+
+        for context in active_streams:
+            if hasattr(context, 'chat_stream') and context.chat_stream:
+                focus_energy = context.chat_stream.focus_energy
+                total_focus_energy += focus_energy
+                max_focus_energy = max(max_focus_energy, focus_energy)
+                stream_count += 1
+
+        if stream_count == 0:
+            return self.check_interval
+
+        avg_focus_energy = total_focus_energy / stream_count
+
+        # 使用配置参数
+        base_interval = global_config.chat.dynamic_distribution_base_interval
+        min_interval = global_config.chat.dynamic_distribution_min_interval
+        max_interval = global_config.chat.dynamic_distribution_max_interval
+        jitter_factor = global_config.chat.dynamic_distribution_jitter_factor
+
+        # 根据平均兴趣度调整间隔
+        # 高兴趣度 -> 更频繁检查 (间隔更短)
+        # 低兴趣度 -> 较少检查 (间隔更长)
+        if avg_focus_energy >= 0.7:
+            # 高兴趣度：1-5秒
+            interval = base_interval * (1.0 - (avg_focus_energy - 0.7) * 2.0)
+        elif avg_focus_energy >= 0.4:
+            # 中等兴趣度：5-15秒
+            interval = base_interval * (1.0 + (avg_focus_energy - 0.4) * 3.33)
+        else:
+            # 低兴趣度：15-30秒
+            interval = base_interval * (3.0 + (0.4 - avg_focus_energy) * 5.0)
+
+        # 添加随机扰动避免同步
+        import random
+        jitter = random.uniform(1.0 - jitter_factor, 1.0 + jitter_factor)
+        final_interval = interval * jitter
+
+        # 限制在合理范围内
+        final_interval = max(min_interval, min(max_interval, final_interval))
+
+        logger.debug(
+            f"动态分发周期: {final_interval:.2f}s | "
+            f"平均兴趣度: {avg_focus_energy:.3f} | "
+            f"活跃流数: {stream_count}"
+        )
+
+        return final_interval
+
+    def _calculate_stream_distribution_interval(self, context: StreamContext) -> float:
+        """计算单个聊天流的分发周期 - 基于阈值感知的focus_energy"""
+        if not global_config.chat.dynamic_distribution_enabled:
+            return self.check_interval  # 使用固定间隔
+
+        # 获取该流的focus_energy（新的阈值感知版本）
+        focus_energy = 0.5  # 默认值
+        avg_message_interest = 0.5  # 默认平均兴趣度
+
+        if hasattr(context, 'chat_stream') and context.chat_stream:
+            focus_energy = context.chat_stream.focus_energy
+            # 获取平均消息兴趣度用于更精确的计算
+            if context.chat_stream.message_count > 0:
+                avg_message_interest = context.chat_stream.message_interest_total / context.chat_stream.message_count
+
+        # 获取AFC阈值用于参考，添加None值检查
+        reply_threshold = getattr(global_config.affinity_flow, 'reply_action_interest_threshold', 0.4)
+        non_reply_threshold = getattr(global_config.affinity_flow, 'non_reply_action_interest_threshold', 0.2)
+        high_match_threshold = getattr(global_config.affinity_flow, 'high_match_interest_threshold', 0.8)
+
+        # 使用配置参数
+        base_interval = global_config.chat.dynamic_distribution_base_interval
+        min_interval = global_config.chat.dynamic_distribution_min_interval
+        max_interval = global_config.chat.dynamic_distribution_max_interval
+        jitter_factor = global_config.chat.dynamic_distribution_jitter_factor
+
+        # 基于阈值感知的智能分发周期计算
+        if avg_message_interest >= high_match_threshold:
+            # 超高兴趣度：极快响应 (1-2秒)
+            interval_multiplier = 0.3 + (focus_energy - 0.7) * 2.0
+        elif avg_message_interest >= reply_threshold:
+            # 高兴趣度：快速响应 (2-6秒)
+            gap_from_reply = (avg_message_interest - reply_threshold) / (high_match_threshold - reply_threshold)
+            interval_multiplier = 0.6 + gap_from_reply * 0.4
+        elif avg_message_interest >= non_reply_threshold:
+            # 中等兴趣度：正常响应 (6-15秒)
+            gap_from_non_reply = (avg_message_interest - non_reply_threshold) / (reply_threshold - non_reply_threshold)
+            interval_multiplier = 1.2 + gap_from_non_reply * 1.8
+        else:
+            # 低兴趣度：缓慢响应 (15-30秒)
+            gap_ratio = max(0, avg_message_interest / non_reply_threshold)
+            interval_multiplier = 3.0 + (1.0 - gap_ratio) * 3.0
+
+        # 应用focus_energy微调
+        energy_adjustment = 1.0 + (focus_energy - 0.5) * 0.5
+        interval = base_interval * interval_multiplier * energy_adjustment
+
+        # 添加随机扰动避免同步
+        import random
+        jitter = random.uniform(1.0 - jitter_factor, 1.0 + jitter_factor)
+        final_interval = interval * jitter
+
+        # 限制在合理范围内
+        final_interval = max(min_interval, min(max_interval, final_interval))
+
+        # 根据兴趣度级别调整日志级别
+        if avg_message_interest >= high_match_threshold:
+            log_level = "info"
+        elif avg_message_interest >= reply_threshold:
+            log_level = "info"
+        else:
+            log_level = "debug"
+
+        log_msg = (
+            f"流 {context.stream_id} 分发周期: {final_interval:.2f}s | "
+            f"focus_energy: {focus_energy:.3f} | "
+            f"avg_interest: {avg_message_interest:.3f} | "
+            f"阈值参考: {non_reply_threshold:.2f}/{reply_threshold:.2f}/{high_match_threshold:.2f}"
+        )
+
+        if log_level == "info":
+            logger.info(log_msg)
+        else:
+            logger.debug(log_msg)
+
+        return final_interval
+
+    def _calculate_next_manager_delay(self) -> float:
+        """计算管理器下次检查的延迟时间"""
+        current_time = time.time()
+        min_delay = float('inf')
+
+        # 找到最近需要检查的流
+        for context in self.stream_contexts.values():
+            if not context.is_active:
+                continue
+
+            time_until_check = context.next_check_time - current_time
+            if time_until_check > 0:
+                min_delay = min(min_delay, time_until_check)
+            else:
+                min_delay = 0.1  # 立即检查
+                break
+
+        # 如果没有活跃流，使用默认间隔
+        if min_delay == float('inf'):
+            return self.check_interval
+
+        # 确保最小延迟
+        return max(0.1, min(min_delay, self.check_interval))
+
+    async def _check_streams_with_individual_intervals(self):
+        """检查所有达到检查时间的聊天流"""
+        current_time = time.time()
+        processed_streams = 0
+
+        for stream_id, context in self.stream_contexts.items():
+            if not context.is_active:
+                continue
+
+            # 检查是否达到检查时间
+            if current_time >= context.next_check_time:
+                # 更新检查时间
+                context.last_check_time = current_time
+
+                # 计算下次检查时间和分发周期
+                if global_config.chat.dynamic_distribution_enabled:
+                    context.distribution_interval = self._calculate_stream_distribution_interval(context)
+                else:
+                    context.distribution_interval = self.check_interval
+
+                # 设置下次检查时间
+                context.next_check_time = current_time + context.distribution_interval
+
+                # 检查未读消息
+                unread_messages = context.get_unread_messages()
+                if unread_messages:
+                    processed_streams += 1
+                    self.stats.total_unread_messages = len(unread_messages)
+
+                    # 如果没有处理任务，创建一个
+                    if not context.processing_task or context.processing_task.done():
+                        focus_energy = context.chat_stream.focus_energy if hasattr(context, 'chat_stream') and context.chat_stream else 0.5
+
+                        # 根据优先级记录日志
+                        if focus_energy >= 0.7:
+                            logger.info(
+                                f"高优先级流 {stream_id} 开始处理 | "
+                                f"focus_energy: {focus_energy:.3f} | "
+                                f"分发周期: {context.distribution_interval:.2f}s | "
+                                f"未读消息: {len(unread_messages)}"
+                            )
+                        else:
+                            logger.debug(
+                                f"流 {stream_id} 开始处理 | "
+                                f"focus_energy: {focus_energy:.3f} | "
+                                f"分发周期: {context.distribution_interval:.2f}s"
+                            )
+
+                        context.processing_task = asyncio.create_task(self._process_stream_messages(stream_id))
+
+        # 更新活跃流计数
+        active_count = sum(1 for ctx in self.stream_contexts.values() if ctx.is_active)
+        self.stats.active_streams = active_count
+
+        if processed_streams > 0:
+            logger.debug(
+                f"本次循环处理了 {processed_streams} 个流 | "
+                f"活跃流总数: {active_count}"
+            )
+
+    async def _check_all_streams_with_priority(self):
+        """按优先级检查所有聊天流，高focus_energy的流优先处理"""
+        if not self.stream_contexts:
+            return
+
+        # 获取活跃的聊天流并按focus_energy排序
+        active_streams = []
+        for stream_id, context in self.stream_contexts.items():
+            if not context.is_active:
+                continue
+
+            # 获取focus_energy，如果不存在则使用默认值
+            focus_energy = 0.5
+            if hasattr(context, 'chat_stream') and context.chat_stream:
+                focus_energy = context.chat_stream.focus_energy
+
+            # 计算流优先级分数
+            priority_score = self._calculate_stream_priority(context, focus_energy)
+            active_streams.append((priority_score, stream_id, context))
+
+        # 按优先级降序排序
+        active_streams.sort(reverse=True, key=lambda x: x[0])
+
+        # 处理排序后的流
+        active_stream_count = 0
+        total_unread = 0
+
+        for priority_score, stream_id, context in active_streams:
+            active_stream_count += 1
+
+            # 检查是否有未读消息
+            unread_messages = context.get_unread_messages()
+            if unread_messages:
+                total_unread += len(unread_messages)
+
+                # 如果没有处理任务，创建一个
+                if not context.processing_task or context.processing_task.done():
+                    context.processing_task = asyncio.create_task(self._process_stream_messages(stream_id))
+
+                    # 高优先级流的额外日志
+                    if priority_score > 0.7:
+                        logger.info(
+                            f"高优先级流 {stream_id} 开始处理 | "
+                            f"优先级: {priority_score:.3f} | "
+                            f"未读消息: {len(unread_messages)}"
+                        )
+
+        # 更新统计
+        self.stats.active_streams = active_stream_count
+        self.stats.total_unread_messages = total_unread
+
+    def _calculate_stream_priority(self, context: StreamContext, focus_energy: float) -> float:
+        """计算聊天流的优先级分数"""
+        # 基础优先级：focus_energy
+        base_priority = focus_energy
+
+        # 未读消息数量加权
+        unread_count = len(context.get_unread_messages())
+        message_count_bonus = min(unread_count * 0.1, 0.3)  # 最多30%加成
+
+        # 时间加权：最近活跃的流优先级更高
+        current_time = time.time()
+        time_since_active = current_time - context.last_check_time
+        time_penalty = max(0, 1.0 - time_since_active / 3600.0)  # 1小时内无惩罚
+
+        # 连续无回复惩罚
+        if hasattr(context, 'chat_stream') and context.chat_stream:
+            consecutive_no_reply = context.chat_stream.consecutive_no_reply
+            no_reply_penalty = max(0, 1.0 - consecutive_no_reply * 0.05)  # 每次无回复降低5%
+        else:
+            no_reply_penalty = 1.0
+
+        # 综合优先级计算
+        final_priority = (
+            base_priority * 0.6 +           # 基础兴趣度权重60%
+            message_count_bonus * 0.2 +     # 消息数量权重20%
+            time_penalty * 0.1 +            # 时间权重10%
+            no_reply_penalty * 0.1         # 回复状态权重10%
+        )
+
+        return max(0.0, min(1.0, final_priority))
+
     def _clear_all_unread_messages(self, context: StreamContext):
         """清除指定上下文中的所有未读消息，防止意外情况导致消息一直未读"""
         unread_messages = context.get_unread_messages()

src/chat/message_receive/bot.py

@@ -365,19 +365,7 @@ class ChatBot:
         return
 
     async def message_process(self, message_data: Dict[str, Any]) -> None:
-        """处理转化后的统一格式消息
-        这个函数本质是预处理一些数据，根据配置信息和消息内容，预处理消息，并分发到合适的消息处理器中
-        heart_flow模式：使用思维流系统进行回复
-        - 包含思维流状态管理
-        - 在回复前进行观察和状态更新
-        - 回复后更新思维流状态
-        - 消息过滤
-        - 记忆激活
-        - 意愿计算
-        - 消息生成和发送
-        - 表情包处理
-        - 性能计时
-        """
+        """处理转化后的统一格式消息"""
         try:
             # 首先处理可能的切片消息重组
             from src.utils.message_chunker import reassembler
@@ -468,7 +456,8 @@ class ChatBot:
             result = await event_manager.trigger_event(EventType.ON_MESSAGE, permission_group="SYSTEM", message=message)
             if not result.all_continue_process():
                 raise UserWarning(f"插件{result.get_summary().get('stopped_handlers', '')}于消息到达时取消了消息处理")
-
+            
+            # TODO:暂不可用
             # 确认从接口发来的message是否有自定义的prompt模板信息
             if message.message_info.template_info and not message.message_info.template_info.template_default:
                 template_group_name: Optional[str] = message.message_info.template_info.template_name  # type: ignore

src/chat/message_receive/chat_stream.py

@@ -83,10 +83,18 @@ class ChatStream:
         self.sleep_pressure = data.get("sleep_pressure", 0.0) if data else 0.0
         self.saved = False
         self.context: ChatMessageContext = None  # type: ignore # 用于存储该聊天的上下文信息
-        # 从配置文件中读取focus_value，如果没有则使用默认值1.0
-        self.focus_energy = (
-            data.get("focus_energy", global_config.chat.focus_value) if data else global_config.chat.focus_value
-        )
+
+        # 动态兴趣度系统 - 重构后的focus_energy
+        self.base_interest_energy = data.get("base_interest_energy", 0.5) if data else 0.5
+        self.message_interest_total = data.get("message_interest_total", 0.0) if data else 0.0
+        self.message_count = data.get("message_count", 0) if data else 0
+        self.action_count = data.get("action_count", 0) if data else 0
+        self.reply_count = data.get("reply_count", 0) if data else 0
+        self.last_interaction_time = data.get("last_interaction_time", time.time()) if data else time.time()
+        self.consecutive_no_reply = data.get("consecutive_no_reply", 0) if data else 0
+
+        # 计算动态focus_energy
+        self.focus_energy = self._calculate_dynamic_focus_energy()
         self.no_reply_consecutive = 0
         self.breaking_accumulated_interest = 0.0
 
@@ -103,6 +111,14 @@ class ChatStream:
             "sleep_pressure": self.sleep_pressure,
             "focus_energy": self.focus_energy,
             "breaking_accumulated_interest": self.breaking_accumulated_interest,
+            # 新增动态兴趣度系统字段
+            "base_interest_energy": self.base_interest_energy,
+            "message_interest_total": self.message_interest_total,
+            "message_count": self.message_count,
+            "action_count": self.action_count,
+            "reply_count": self.reply_count,
+            "last_interaction_time": self.last_interaction_time,
+            "consecutive_no_reply": self.consecutive_no_reply,
         }
 
     @classmethod
@@ -128,6 +144,148 @@ class ChatStream:
         """设置聊天消息上下文"""
         self.context = ChatMessageContext(message)
 
+    def _calculate_dynamic_focus_energy(self) -> float:
+        """动态计算聊天流的总体兴趣度"""
+        try:
+            # 基础分：平均消息兴趣度
+            avg_message_interest = self.message_interest_total / max(self.message_count, 1)
+
+            # 动作参与度：动作执行率
+            action_rate = self.action_count / max(self.message_count, 1)
+
+            # 回复活跃度：回复率
+            reply_rate = self.reply_count / max(self.message_count, 1)
+
+            # 获取用户关系分（对于私聊，群聊无效）
+            relationship_factor = self._get_user_relationship_score()
+
+            # 时间衰减因子：最近活跃度
+            current_time = time.time()
+            if not self.last_interaction_time:
+                self.last_interaction_time = current_time
+            time_since_interaction = current_time - self.last_interaction_time
+            time_decay = max(0.3, 1.0 - min(time_since_interaction / (7 * 24 * 3600), 0.7))  # 7天衰减
+
+            # 连续无回复惩罚
+            no_reply_penalty = max(0.1, 1.0 - self.consecutive_no_reply * 0.1)
+
+            # 获取AFC系统阈值，添加None值检查
+            reply_threshold = getattr(global_config.affinity_flow, 'reply_action_interest_threshold', 0.4)
+            non_reply_threshold = getattr(global_config.affinity_flow, 'non_reply_action_interest_threshold', 0.2)
+            high_match_threshold = getattr(global_config.affinity_flow, 'high_match_interest_threshold', 0.8)
+
+            # 计算与不同阈值的差距比例
+            reply_gap_ratio = max(0, (avg_message_interest - reply_threshold) / max(0.1, (1.0 - reply_threshold)))
+            non_reply_gap_ratio = max(0, (avg_message_interest - non_reply_threshold) / max(0.1, (1.0 - non_reply_threshold)))
+            high_match_gap_ratio = max(0, (avg_message_interest - high_match_threshold) / max(0.1, (1.0 - high_match_threshold)))
+
+            # 基于阈值差距比例的基础分计算
+            threshold_based_score = (
+                reply_gap_ratio * 0.6 +      # 回复阈值差距权重60%
+                non_reply_gap_ratio * 0.2 +  # 非回复阈值差距权重20%
+                high_match_gap_ratio * 0.2   # 高匹配阈值差距权重20%
+            )
+
+            # 动态权重调整：根据平均兴趣度水平调整权重分配
+            if avg_message_interest >= high_match_threshold:
+                # 高兴趣度：更注重阈值差距
+                threshold_weight = 0.7
+                activity_weight = 0.2
+                relationship_weight = 0.1
+            elif avg_message_interest >= reply_threshold:
+                # 中等兴趣度：平衡权重
+                threshold_weight = 0.5
+                activity_weight = 0.3
+                relationship_weight = 0.2
+            else:
+                # 低兴趣度：更注重活跃度提升
+                threshold_weight = 0.3
+                activity_weight = 0.5
+                relationship_weight = 0.2
+
+            # 计算活跃度得分
+            activity_score = (action_rate * 0.6 + reply_rate * 0.4)
+
+            # 综合计算：基于阈值的动态加权
+            focus_energy = (
+                threshold_based_score * threshold_weight +  # 阈值差距基础分
+                activity_score * activity_weight +            # 活跃度得分
+                relationship_factor * relationship_weight +   # 关系得分
+                self.base_interest_energy * 0.05             # 基础兴趣微调
+            ) * time_decay * no_reply_penalty
+
+            # 确保在合理范围内
+            focus_energy = max(0.1, min(1.0, focus_energy))
+
+            # 应用非线性变换增强区分度
+            if focus_energy >= 0.7:
+                # 高兴趣度区域：指数增强，更敏感
+                focus_energy = 0.7 + (focus_energy - 0.7) ** 0.8
+            elif focus_energy >= 0.4:
+                # 中等兴趣度区域：线性保持
+                pass
+            else:
+                # 低兴趣度区域：对数压缩，减少区分度
+                focus_energy = 0.4 * (focus_energy / 0.4) ** 1.2
+
+            return max(0.1, min(1.0, focus_energy))
+
+        except Exception as e:
+            logger.error(f"计算动态focus_energy失败: {e}")
+            return self.base_interest_energy
+
+    def _get_user_relationship_score(self) -> float:
+        """从外部系统获取用户关系分"""
+        try:
+            # 尝试从兴趣评分系统获取用户关系分
+            from src.plugins.built_in.affinity_flow_chatter.interest_scoring import (
+                chatter_interest_scoring_system,
+            )
+
+            if self.user_info and hasattr(self.user_info, 'user_id'):
+                return chatter_interest_scoring_system.get_user_relationship(str(self.user_info.user_id))
+        except Exception:
+            pass
+
+        # 默认基础分
+        return 0.3
+
+    def add_message_interest(self, interest_score: float):
+        """添加消息兴趣值并更新focus_energy"""
+        self.message_interest_total += interest_score
+        self.message_count += 1
+        self.last_interaction_time = time.time()
+        self.focus_energy = self._calculate_dynamic_focus_energy()
+
+    def record_action(self, is_reply: bool = False):
+        """记录动作执行"""
+        self.action_count += 1
+        if is_reply:
+            self.reply_count += 1
+            self.consecutive_no_reply = max(0, self.consecutive_no_reply - 1)
+        self.last_interaction_time = time.time()
+        self.focus_energy = self._calculate_dynamic_focus_energy()
+
+    def record_no_reply(self):
+        """记录无回复动作"""
+        self.consecutive_no_reply += 1
+        self.last_interaction_time = time.time()
+        self.focus_energy = self._calculate_dynamic_focus_energy()
+
+    def get_adjusted_focus_energy(self) -> float:
+        """获取应用了afc调整的focus_energy"""
+        try:
+            from src.chat.message_manager.message_manager import message_manager
+            if self.stream_id in message_manager.stream_contexts:
+                context = message_manager.stream_contexts[self.stream_id]
+                afc_adjustment = context.get_afc_threshold_adjustment()
+                # 对动态计算的focus_energy应用AFC调整
+                adjusted_energy = max(0.0, self.focus_energy - afc_adjustment)
+                return adjusted_energy
+        except Exception:
+            pass
+        return self.focus_energy
+
 
 class ChatManager:
     """聊天管理器，管理所有聊天流"""
@@ -364,7 +522,16 @@ class ChatManager:
                     "group_name": group_info_d["group_name"] if group_info_d else "",
                     "energy_value": s_data_dict.get("energy_value", 5.0),
                     "sleep_pressure": s_data_dict.get("sleep_pressure", 0.0),
-                    "focus_energy": s_data_dict.get("focus_energy", global_config.chat.focus_value),
+                    "focus_energy": s_data_dict.get("focus_energy", 0.5),
+                    # 新增动态兴趣度系统字段
+                    "base_interest_energy": s_data_dict.get("base_interest_energy", 0.5),
+                    "message_interest_total": s_data_dict.get("message_interest_total", 0.0),
+                    "message_count": s_data_dict.get("message_count", 0),
+                    "action_count": s_data_dict.get("action_count", 0),
+                    "reply_count": s_data_dict.get("reply_count", 0),
+                    "last_interaction_time": s_data_dict.get("last_interaction_time", time.time()),
+                    "relationship_score": s_data_dict.get("relationship_score", 0.3),
+                    "consecutive_no_reply": s_data_dict.get("consecutive_no_reply", 0),
                 }
                 if global_config.database.database_type == "sqlite":
                     stmt = sqlite_insert(ChatStreams).values(stream_id=s_data_dict["stream_id"], **fields_to_save)
@@ -421,7 +588,16 @@ class ChatManager:
                         "last_active_time": model_instance.last_active_time,
                         "energy_value": model_instance.energy_value,
                         "sleep_pressure": model_instance.sleep_pressure,
-                        "focus_energy": getattr(model_instance, "focus_energy", global_config.chat.focus_value),
+                        "focus_energy": getattr(model_instance, "focus_energy", 0.5),
+                        # 新增动态兴趣度系统字段 - 使用getattr提供默认值
+                        "base_interest_energy": getattr(model_instance, "base_interest_energy", 0.5),
+                        "message_interest_total": getattr(model_instance, "message_interest_total", 0.0),
+                        "message_count": getattr(model_instance, "message_count", 0),
+                        "action_count": getattr(model_instance, "action_count", 0),
+                        "reply_count": getattr(model_instance, "reply_count", 0),
+                        "last_interaction_time": getattr(model_instance, "last_interaction_time", time.time()),
+                        "relationship_score": getattr(model_instance, "relationship_score", 0.3),
+                        "consecutive_no_reply": getattr(model_instance, "consecutive_no_reply", 0),
                     }
                     loaded_streams_data.append(data_for_from_dict)
                 await session.commit()

src/chat/planner_actions/action_manager.py

@@ -15,6 +15,7 @@ from src.plugin_system.base.component_types import ComponentType, ActionInfo
 from src.plugin_system.base.base_action import BaseAction
 from src.plugin_system.apis import generator_api, database_api, send_api, message_api
 
+
 logger = get_logger("action_manager")
 
 
@@ -161,6 +162,7 @@ class ChatterActionManager:
         Returns:
             执行结果
         """
+        from src.chat.message_manager.message_manager import message_manager
         try:
             logger.debug(f"🎯 [ActionManager] execute_action接收到 target_message: {target_message}")
             # 通过chat_id获取chat_stream
@@ -207,6 +209,11 @@ class ChatterActionManager:
                     thinking_id,
                     target_message,
                 )
+
+                # 如果动作执行成功且不是no_action，重置打断计数
+                if success:
+                    await self._reset_interruption_count_after_action(chat_stream.stream_id)
+
                 return {
                     "action_type": action_name,
                     "success": success,
@@ -244,6 +251,10 @@ class ChatterActionManager:
                     thinking_id,
                     [],  # actions
                 )
+
+                # 回复成功，重置打断计数
+                await self._reset_interruption_count_after_action(chat_stream.stream_id)
+
                 return {"action_type": "reply", "success": True, "reply_text": reply_text, "loop_info": loop_info}
 
         except Exception as e:
@@ -257,6 +268,20 @@ class ChatterActionManager:
                 "error": str(e),
             }
 
+    async def _reset_interruption_count_after_action(self, stream_id: str):
+        """在动作执行成功后重置打断计数"""
+        from src.chat.message_manager.message_manager import message_manager
+        try:
+            if stream_id in message_manager.stream_contexts:
+                context = message_manager.stream_contexts[stream_id]
+                if context.interruption_count > 0:
+                    old_count = context.interruption_count
+                    old_afc_adjustment = context.get_afc_threshold_adjustment()
+                    context.reset_interruption_count()
+                    logger.debug(f"动作执行成功，重置聊天流 {stream_id} 的打断计数: {old_count} -> 0, afc调整: {old_afc_adjustment} -> 0")
+        except Exception as e:
+            logger.warning(f"重置打断计数时出错: {e}")
+
     async def _handle_action(
         self, chat_stream, action, reasoning, action_data, cycle_timers, thinking_id, action_message
     ) -> tuple[bool, str, str]: