better：明确focus value和 talk frequency的作用
Delete test_focus_value.py
This commit is contained in:
SengokuCola
@@ -201,16 +201,16 @@ class HeartFChatting:
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total_recent_interest = sum(self.recent_interest_records)
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# 计算调整后的阈值
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adjusted_threshold = 3 / global_config.chat.get_current_talk_frequency(self.stream_id)
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adjusted_threshold = 1 / global_config.chat.get_current_talk_frequency(self.stream_id)
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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}")
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# 如果兴趣度总和小于阈值，进入breaking形式
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if total_recent_interest < adjusted_threshold:
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logger.info(f"{self.log_prefix} 兴趣度不足，进入breaking形式")
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logger.info(f"{self.log_prefix} 兴趣度不足，进入休息")
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self.focus_energy = random.randint(3, 6)
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else:
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logger.info(f"{self.log_prefix} 兴趣度充足")
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logger.info(f"{self.log_prefix} 兴趣度充足，等待新消息")
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self.focus_energy = 1
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async def _should_process_messages(self, new_message: List[Dict[str, Any]]) -> tuple[bool,float]:
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@@ -225,9 +225,10 @@ class HeartFChatting:
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bool: 是否应该处理消息
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"""
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new_message_count = len(new_message)
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talk_frequency = global_config.chat.get_current_talk_frequency(self.stream_id)
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modified_exit_count_threshold = self.focus_energy / global_config.chat.focus_value
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modified_exit_interest_threshold = 3 / global_config.chat.focus_value
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modified_exit_count_threshold = self.focus_energy * 0.5 / talk_frequency
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modified_exit_interest_threshold = 1.5 / talk_frequency
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total_interest = 0.0
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for msg_dict in new_message:
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interest_value = msg_dict.get("interest_value", 0.0)
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@@ -247,7 +248,7 @@ class HeartFChatting:
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if new_message_count > 0:
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# 只在兴趣值变化时输出log
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if not hasattr(self, "_last_accumulated_interest") or total_interest != self._last_accumulated_interest:
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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}")
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logger.info(f"{self.log_prefix} 休息中，累计兴趣值: {total_interest:.2f}, 活跃度: {talk_frequency:.1f}")
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self._last_accumulated_interest = total_interest
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if total_interest >= modified_exit_interest_threshold:
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@@ -363,7 +364,7 @@ class HeartFChatting:
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x0 = 1.0 # 控制曲线中心点
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return 1.0 / (1.0 + math.exp(-k * (interest_val - x0)))
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normal_mode_probability = calculate_normal_mode_probability(interest_value) / global_config.chat.get_current_talk_frequency(self.stream_id)
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normal_mode_probability = calculate_normal_mode_probability(interest_value) * 0.5 / global_config.chat.get_current_talk_frequency(self.stream_id)
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# 根据概率决定使用哪种模式
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if random.random() < normal_mode_probability:
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@@ -385,33 +386,43 @@ class HeartFChatting:
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await self.relationship_builder.build_relation()
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await self.expression_learner.trigger_learning_for_chat()
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available_actions = {}
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# 第一步：动作修改
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with Timer("动作修改", cycle_timers):
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try:
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await self.action_modifier.modify_actions()
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available_actions = self.action_manager.get_using_actions()
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except Exception as e:
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logger.error(f"{self.log_prefix} 动作修改失败: {e}")
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if random.random() > global_config.chat.focus_value and mode == ChatMode.FOCUS:
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#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
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actions = [
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{
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"action_type": "no_reply",
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"reasoning": "选择不回复",
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"action_data": {},
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}
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]
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else:
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available_actions = {}
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# 第一步：动作修改
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with Timer("动作修改", cycle_timers):
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try:
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await self.action_modifier.modify_actions()
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available_actions = self.action_manager.get_using_actions()
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except Exception as e:
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logger.error(f"{self.log_prefix} 动作修改失败: {e}")
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# 执行planner
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planner_info = self.action_planner.get_necessary_info()
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prompt_info = await self.action_planner.build_planner_prompt(
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is_group_chat=planner_info[0],
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chat_target_info=planner_info[1],
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current_available_actions=planner_info[2],
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)
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if not await events_manager.handle_mai_events(
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EventType.ON_PLAN, None, prompt_info[0], None, self.chat_stream.stream_id
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):
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return False
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with Timer("规划器", cycle_timers):
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actions, _= await self.action_planner.plan(
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mode=mode,
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loop_start_time=self.last_read_time,
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available_actions=available_actions,
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# 执行planner
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planner_info = self.action_planner.get_necessary_info()
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prompt_info = await self.action_planner.build_planner_prompt(
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is_group_chat=planner_info[0],
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chat_target_info=planner_info[1],
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current_available_actions=planner_info[2],
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)
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if not await events_manager.handle_mai_events(
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EventType.ON_PLAN, None, prompt_info[0], None, self.chat_stream.stream_id
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):
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return False
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with Timer("规划器", cycle_timers):
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actions, _= await self.action_planner.plan(
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mode=mode,
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loop_start_time=self.last_read_time,
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available_actions=available_actions,
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)
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@@ -663,19 +674,10 @@ class HeartFChatting:
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# 处理动作并获取结果
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result = await action_handler.handle_action()
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success, reply_text = result
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success, action_text = result
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command = ""
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if reply_text == "timeout":
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self.reply_timeout_count += 1
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if self.reply_timeout_count > 5:
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logger.warning(
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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。"
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)
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logger.warning(f"{self.log_prefix} 回复生成超时{global_config.chat.thinking_timeout}s，已跳过")
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return False, "", ""
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return success, reply_text, command
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return success, action_text, command
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except Exception as e:
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logger.error(f"{self.log_prefix} 处理{action}时出错: {e}")
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