better：明确focus value和 talk frequency的作用

Delete test_focus_value.py

src/chat/chat_loop/heartFC_chat.py

@@ -201,16 +201,16 @@ class HeartFChatting:
             total_recent_interest = sum(self.recent_interest_records)
     
             # 计算调整后的阈值
-            adjusted_threshold = 3 / global_config.chat.get_current_talk_frequency(self.stream_id)
+            adjusted_threshold = 1 / global_config.chat.get_current_talk_frequency(self.stream_id)
             
             logger.info(f"{self.log_prefix} 最近三次兴趣度总和: {total_recent_interest:.2f}, 调整后阈值: {adjusted_threshold:.2f}")
         
             # 如果兴趣度总和小于阈值，进入breaking形式
             if total_recent_interest < adjusted_threshold:
-                logger.info(f"{self.log_prefix} 兴趣度不足，进入breaking形式")
+                logger.info(f"{self.log_prefix} 兴趣度不足，进入休息")
                 self.focus_energy = random.randint(3, 6)
             else:
-                logger.info(f"{self.log_prefix} 兴趣度充足")
+                logger.info(f"{self.log_prefix} 兴趣度充足，等待新消息")
                 self.focus_energy = 1      
             
     async def _should_process_messages(self, new_message: List[Dict[str, Any]]) -> tuple[bool,float]:
@@ -225,9 +225,10 @@ class HeartFChatting:
             bool: 是否应该处理消息
         """
         new_message_count = len(new_message)
+        talk_frequency = global_config.chat.get_current_talk_frequency(self.stream_id)
         
-        modified_exit_count_threshold = self.focus_energy / global_config.chat.focus_value
+        modified_exit_count_threshold = self.focus_energy * 0.5 / talk_frequency
-        modified_exit_interest_threshold = 3 / global_config.chat.focus_value
+        modified_exit_interest_threshold = 1.5 / talk_frequency
         total_interest = 0.0
         for msg_dict in new_message:
             interest_value = msg_dict.get("interest_value", 0.0)
@@ -247,7 +248,7 @@ class HeartFChatting:
         if new_message_count > 0:
             # 只在兴趣值变化时输出log
             if not hasattr(self, "_last_accumulated_interest") or total_interest != self._last_accumulated_interest:
-                logger.info(f"{self.log_prefix} breaking形式当前累计兴趣值: {total_interest:.2f}, 专注度: {global_config.chat.focus_value:.1f}")
+                logger.info(f"{self.log_prefix} 休息中，累计兴趣值: {total_interest:.2f}, 活跃度: {talk_frequency:.1f}")
                 self._last_accumulated_interest = total_interest
             
             if total_interest >= modified_exit_interest_threshold:
@@ -363,7 +364,7 @@ class HeartFChatting:
             x0 = 1.0  # 控制曲线中心点
             return 1.0 / (1.0 + math.exp(-k * (interest_val - x0)))
         
-        normal_mode_probability = calculate_normal_mode_probability(interest_value) / global_config.chat.get_current_talk_frequency(self.stream_id)
+        normal_mode_probability = calculate_normal_mode_probability(interest_value) * 0.5 / global_config.chat.get_current_talk_frequency(self.stream_id)
         
         # 根据概率决定使用哪种模式
         if random.random() < normal_mode_probability:
@@ -385,33 +386,43 @@ class HeartFChatting:
             await self.relationship_builder.build_relation()
             await self.expression_learner.trigger_learning_for_chat()
 
-            available_actions = {}
 
-            # 第一步：动作修改
+            if random.random() > global_config.chat.focus_value and mode == ChatMode.FOCUS:
-            with Timer("动作修改", cycle_timers):
+                #如果激活度没有激活，并且聊天活跃度低，有可能不进行plan，相当于不在电脑前
-                try:
+                actions = [
-                    await self.action_modifier.modify_actions()
+                    {
-                    available_actions = self.action_manager.get_using_actions()
+                        "action_type": "no_reply",
-                except Exception as e:
+                        "reasoning": "选择不回复",
-                    logger.error(f"{self.log_prefix} 动作修改失败: {e}")
+                        "action_data": {},
+                    }
+                ]
+            else:
+                available_actions = {}
+                # 第一步：动作修改
+                with Timer("动作修改", cycle_timers):
+                    try:
+                        await self.action_modifier.modify_actions()
+                        available_actions = self.action_manager.get_using_actions()
+                    except Exception as e:
+                        logger.error(f"{self.log_prefix} 动作修改失败: {e}")
 
-            # 执行planner
+                # 执行planner
-            planner_info = self.action_planner.get_necessary_info()
+                planner_info = self.action_planner.get_necessary_info()
-            prompt_info = await self.action_planner.build_planner_prompt(
+                prompt_info = await self.action_planner.build_planner_prompt(
-                is_group_chat=planner_info[0],
+                    is_group_chat=planner_info[0],
-                chat_target_info=planner_info[1],
+                    chat_target_info=planner_info[1],
-                current_available_actions=planner_info[2],
+                    current_available_actions=planner_info[2],
-            )
-            if not await events_manager.handle_mai_events(
-                EventType.ON_PLAN, None, prompt_info[0], None, self.chat_stream.stream_id
-            ):
-                return False
-            with Timer("规划器", cycle_timers):
-                actions, _= await self.action_planner.plan(
-                    mode=mode,
-                    loop_start_time=self.last_read_time,
-                    available_actions=available_actions,
                 )
+                if not await events_manager.handle_mai_events(
+                    EventType.ON_PLAN, None, prompt_info[0], None, self.chat_stream.stream_id
+                ):
+                    return False
+                with Timer("规划器", cycle_timers):
+                    actions, _= await self.action_planner.plan(
+                        mode=mode,
+                        loop_start_time=self.last_read_time,
+                        available_actions=available_actions,
+                    )
 
 
             
@@ -663,19 +674,10 @@ class HeartFChatting:
 
             # 处理动作并获取结果
             result = await action_handler.handle_action()
-            success, reply_text = result
+            success, action_text = result
             command = ""
 
-            if reply_text == "timeout":
+            return success, action_text, command
-                self.reply_timeout_count += 1
-                if self.reply_timeout_count > 5:
-                    logger.warning(
-                        f"[{self.log_prefix} ] 连续回复超时次数过多，{global_config.chat.thinking_timeout}秒 内大模型没有返回有效内容，请检查你的api是否速度过慢或配置错误。建议不要使用推理模型，推理模型生成速度过慢。或者尝试拉高thinking_timeout参数，这可能导致回复时间过长。"
-                    )
-                logger.warning(f"{self.log_prefix} 回复生成超时{global_config.chat.thinking_timeout}s，已跳过")
-                return False, "", ""
-
-            return success, reply_text, command
 
         except Exception as e:
             logger.error(f"{self.log_prefix} 处理{action}时出错: {e}")

src/chat/heart_flow/heartflow_message_processor.py

@@ -145,8 +145,6 @@ class HeartFCMessageReceiver:
 
             # 3. 日志记录
             mes_name = chat.group_info.group_name if chat.group_info else "私聊"
-            # current_time = time.strftime("%H:%M:%S", time.localtime(message.message_info.time))
-            current_talk_frequency = global_config.chat.get_current_talk_frequency(chat.stream_id)
 
             # 如果消息中包含图片标识，则将 [picid:...] 替换为 [图片]
             picid_pattern = r"\[picid:([^\]]+)\]"
@@ -164,7 +162,6 @@ class HeartFCMessageReceiver:
             else:
                 logger.info(f"[{mes_name}]{userinfo.user_nickname}:{processed_plain_text}[兴趣度：{interested_rate:.2f}]")  # type: ignore
 
-            logger.debug(f"[{mes_name}][当前时段回复频率: {current_talk_frequency}]")
 
             # 4. 关系处理
             if global_config.relationship.enable_relationship:

src/config/config.py

@@ -17,7 +17,6 @@ from src.config.official_configs import (
     PersonalityConfig,
     ExpressionConfig,
     ChatConfig,
-    NormalChatConfig,
     EmojiConfig,
     MemoryConfig,
     MoodConfig,
@@ -331,7 +330,6 @@ class Config(ConfigBase):
     relationship: RelationshipConfig
     chat: ChatConfig
     message_receive: MessageReceiveConfig
-    normal_chat: NormalChatConfig
     emoji: EmojiConfig
     expression: ExpressionConfig
     memory: MemoryConfig

src/config/official_configs.py

@@ -72,28 +72,26 @@ class ChatConfig(ConfigBase):
     max_context_size: int = 18
     """上下文长度"""
 
-    replyer_random_probability: float = 0.5
-    """
-    发言时选择推理模型的概率（0-1之间）
-    选择普通模型的概率为 1 - reasoning_normal_model_probability
-    """
-
-    thinking_timeout: int = 40
-    """麦麦最长思考规划时间，超过这个时间的思考会放弃（往往是api反应太慢）"""
-
-    talk_frequency: float = 1
-    """回复频率阈值"""
-
     mentioned_bot_inevitable_reply: bool = False
     """提及 bot 必然回复"""
 
     at_bot_inevitable_reply: bool = False
     """@bot 必然回复"""
     
+    talk_frequency: float = 0.5
+    """回复频率阈值"""
+
     # 合并后的时段频率配置
     talk_frequency_adjust: list[list[str]] = field(default_factory=lambda: [])
+
+
+    focus_value: float = 0.5
+    """麦麦的专注思考能力，越低越容易专注，消耗token也越多"""
+    
+    focus_value_adjust: list[list[str]] = field(default_factory=lambda: [])
+    
     """
-    统一的时段频率配置
+    统一的活跃度和专注度配置
     格式：[["platform:chat_id:type", "HH:MM,frequency", "HH:MM,frequency", ...], ...]
     
     全局配置示例：
@@ -110,11 +108,31 @@ class ChatConfig(ConfigBase):
     - 当第一个元素为空字符串""时，表示全局默认配置
     - 当第一个元素为"platform:id:type"格式时，表示特定聊天流配置
     - 后续元素是"时间,频率"格式，表示从该时间开始使用该频率，直到下一个时间点
-    - 优先级：特定聊天流配置 > 全局配置 > 默认 talk_frequency
+    - 优先级：特定聊天流配置 > 全局配置 > 默认值
+    
+    注意：
+    - talk_frequency_adjust 控制回复频率，数值越高回复越频繁
+    - focus_value_adjust 控制专注思考能力，数值越低越容易专注，消耗token也越多
     """
     
-    focus_value: float = 1.0
+    
-    """麦麦的专注思考能力，越低越容易专注，消耗token也越多"""
+    def get_current_focus_value(self, chat_stream_id: Optional[str] = None) -> float:
+        """
+        根据当前时间和聊天流获取对应的 focus_value
+        """
+        if not self.focus_value_adjust:
+            return self.focus_value
+        
+        if chat_stream_id:
+            stream_focus_value = self._get_stream_specific_focus_value(chat_stream_id)
+            if stream_focus_value is not None:
+                return stream_focus_value
+        
+        global_focus_value = self._get_global_focus_value()
+        if global_focus_value is not None:
+            return global_focus_value
+        
+        return self.focus_value
 
     def get_current_talk_frequency(self, chat_stream_id: Optional[str] = None) -> float:
         """
@@ -139,6 +157,71 @@ class ChatConfig(ConfigBase):
         global_frequency = self._get_global_frequency()
         return self.talk_frequency if global_frequency is None else global_frequency
     
+    def _get_global_focus_value(self) -> Optional[float]:
+        """
+        获取全局默认专注度配置
+
+        Returns:
+            float: 专注度值，如果没有配置则返回 None
+        """
+        for config_item in self.focus_value_adjust:
+            if not config_item or len(config_item) < 2:
+                continue
+
+            # 检查是否为全局默认配置（第一个元素为空字符串）
+            if config_item[0] == "":
+                return self._get_time_based_focus_value(config_item[1:])
+
+        return None
+
+    def _get_time_based_focus_value(self, time_focus_list: list[str]) -> Optional[float]:
+        """
+        根据时间配置列表获取当前时段的专注度
+
+        Args:
+            time_focus_list: 时间专注度配置列表，格式为 ["HH:MM,focus_value", ...]
+
+        Returns:
+            float: 专注度值，如果没有配置则返回 None
+        """
+        from datetime import datetime
+
+        current_time = datetime.now().strftime("%H:%M")
+        current_hour, current_minute = map(int, current_time.split(":"))
+        current_minutes = current_hour * 60 + current_minute
+
+        # 解析时间专注度配置
+        time_focus_pairs = []
+        for time_focus_str in time_focus_list:
+            try:
+                time_str, focus_str = time_focus_str.split(",")
+                hour, minute = map(int, time_str.split(":"))
+                focus_value = float(focus_str)
+                minutes = hour * 60 + minute
+                time_focus_pairs.append((minutes, focus_value))
+            except (ValueError, IndexError):
+                continue
+
+        if not time_focus_pairs:
+            return None
+
+        # 按时间排序
+        time_focus_pairs.sort(key=lambda x: x[0])
+
+        # 查找当前时间对应的专注度
+        current_focus_value = None
+        for minutes, focus_value in time_focus_pairs:
+            if current_minutes >= minutes:
+                current_focus_value = focus_value
+            else:
+                break
+
+        # 如果当前时间在所有配置时间之前，使用最后一个时间段的专注度（跨天逻辑）
+        if current_focus_value is None and time_focus_pairs:
+            current_focus_value = time_focus_pairs[-1][1]
+
+        return current_focus_value
+
     def _get_time_based_frequency(self, time_freq_list: list[str]) -> Optional[float]:
         """
         根据时间配置列表获取当前时段的频率
@@ -187,6 +270,37 @@ class ChatConfig(ConfigBase):
 
         return current_frequency
 
+    def _get_stream_specific_focus_value(self, chat_stream_id: str) -> Optional[float]:
+        """
+        获取特定聊天流在当前时间的专注度
+
+        Args:
+            chat_stream_id: 聊天流ID（哈希值）
+
+        Returns:
+            float: 专注度值，如果没有配置则返回 None
+        """
+        # 查找匹配的聊天流配置
+        for config_item in self.focus_value_adjust:
+            if not config_item or len(config_item) < 2:
+                continue
+
+            stream_config_str = config_item[0]  # 例如 "qq:1026294844:group"
+
+            # 解析配置字符串并生成对应的 chat_id
+            config_chat_id = self._parse_stream_config_to_chat_id(stream_config_str)
+            if config_chat_id is None:
+                continue
+
+            # 比较生成的 chat_id
+            if config_chat_id != chat_stream_id:
+                continue
+
+            # 使用通用的时间专注度解析方法
+            return self._get_time_based_focus_value(config_item[1:])
+
+        return None
+
     def _get_stream_specific_frequency(self, chat_stream_id: str):
         """
         获取特定聊天流在当前时间的频率
@@ -281,15 +395,6 @@ class MessageReceiveConfig(ConfigBase):
     ban_msgs_regex: set[str] = field(default_factory=lambda: set())
     """过滤正则表达式列表"""
 
-
-@dataclass
-class NormalChatConfig(ConfigBase):
-    """普通聊天配置类"""
-
-    willing_mode: str = "classical"
-    """意愿模式"""
-
-
 @dataclass
 class ExpressionConfig(ConfigBase):
     """表达配置类"""

template/bot_config_template.toml

@@ -1,5 +1,5 @@
 [inner]
-version = "6.3.0"
+version = "6.3.1"
 
 #----以下是给开发人员阅读的，如果你只是部署了麦麦，不需要阅读----
 #如果你想要修改配置文件，请递增version的值
@@ -53,26 +53,29 @@ expression_groups = [
 ]
 
 
-[chat] #麦麦的聊天通用设置
+[chat] #麦麦的聊天设置
-talk_frequency = 1 
+talk_frequency = 0.5
-# 麦麦活跃度，越高，麦麦回复越多
+# 麦麦活跃度，越高，麦麦回复越多，范围0-1
+focus_value = 0.5 
+# 麦麦的专注度，越高越容易持续连续对话，范围0-1
 
-focus_value = 1 
+max_context_size = 20 # 上下文长度
-# 麦麦的专注思考能力，越高越容易持续连续对话
-
-max_context_size = 25 # 上下文长度
-thinking_timeout = 40 # 麦麦一次回复最长思考规划时间，超过这个时间的思考会放弃（往往是api反应太慢）
-replyer_random_probability = 0.5 # 首要replyer模型被选择的概率
 
 mentioned_bot_inevitable_reply = true # 提及 bot 大概率回复
 at_bot_inevitable_reply = true # @bot 或 提及bot 大概率回复
 
-talk_frequency_adjust = [
+focus_value_adjust = [
-    ["", "8:00,1", "12:00,1.2", "18:00,1.5", "01:00,0.6"],
+    ["", "8:00,1", "12:00,0.8", "18:00,1", "01:00,0.3"],
-    ["qq:114514:group", "12:20,1", "16:10,2", "20:10,1", "00:10,0.3"],
+    ["qq:114514:group", "12:20,0.6", "16:10,0.5", "20:10,0.8", "00:10,0.3"],
-    ["qq:1919810:private", "8:20,1", "12:10,2", "20:10,1.5", "00:10,0.2"]
+    ["qq:1919810:private", "8:20,0.5", "12:10,0.8", "20:10,1", "00:10,0.2"]
 ]
-# 基于聊天流的个性化活跃度配置
+
+talk_frequency_adjust = [
+    ["", "8:00,0.5", "12:00,0.6", "18:00,0.8", "01:00,0.3"],
+    ["qq:114514:group", "12:20,0.3", "16:10,0.5", "20:10,0.4", "00:10,0.1"],
+    ["qq:1919810:private", "8:20,0.3", "12:10,0.4", "20:10,0.5", "00:10,0.1"]
+]
+# 基于聊天流的个性化活跃度和专注度配置
 # 格式：[["platform:chat_id:type", "HH:MM,frequency", "HH:MM,frequency", ...], ...]
 
 # 全局配置示例：
@@ -109,9 +112,6 @@ ban_msgs_regex = [
     #"\\d{4}-\\d{2}-\\d{2}", # 匹配日期
 ]
 
-[normal_chat] #普通聊天
-willing_mode = "classical" # 回复意愿模式 —— 经典模式：classical，mxp模式：mxp，自定义模式：custom（需要你自己实现）
-
 [tool]
 enable_tool = false # 是否在普通聊天中启用工具