feat：添加了心流的配置项

2025-03-30 23:28:33 +08:00
parent efa9213849
commit cc22351104
15 changed files with 69 additions and 60 deletions
--- a/src/heart_flow/sub_heartflow.py
+++ b/src/heart_flow/sub_heartflow.py
@@ -0,0 +1,208 @@
+from .observation import Observation
+import asyncio
+from src.plugins.moods.moods import MoodManager
+from src.plugins.models.utils_model import LLM_request
+from src.plugins.config.config import global_config
+import re
+import time
+from src.plugins.schedule.schedule_generator import bot_schedule
+from src.plugins.memory_system.Hippocampus import HippocampusManager
+from src.common.logger import get_module_logger, LogConfig, SUB_HEARTFLOW_STYLE_CONFIG  # noqa: E402
+
+subheartflow_config = LogConfig(
+    # 使用海马体专用样式
+    console_format=SUB_HEARTFLOW_STYLE_CONFIG["console_format"],
+    file_format=SUB_HEARTFLOW_STYLE_CONFIG["file_format"],
+)
+logger = get_module_logger("subheartflow", config=subheartflow_config)
+
+
+class CuttentState:
+    def __init__(self):
+        self.willing = 0
+        self.current_state_info = ""
+
+        self.mood_manager = MoodManager()
+        self.mood = self.mood_manager.get_prompt()
+
+    def update_current_state_info(self):
+        self.current_state_info = self.mood_manager.get_current_mood()
+
+
+class SubHeartflow:
+    def __init__(self, subheartflow_id):
+        self.subheartflow_id = subheartflow_id
+
+        self.current_mind = ""
+        self.past_mind = []
+        self.current_state: CuttentState = CuttentState()
+        self.llm_model = LLM_request(
+            model=global_config.llm_sub_heartflow, temperature=0.7, max_tokens=600, request_type="sub_heart_flow"
+        )
+
+        self.main_heartflow_info = ""
+
+        self.last_reply_time = time.time()
+        self.last_active_time = time.time()  # 添加最后激活时间
+
+        if not self.current_mind:
+            self.current_mind = "你什么也没想"
+
+        self.personality_info = " ".join(global_config.PROMPT_PERSONALITY)
+
+        self.is_active = False
+
+        self.observations: list[Observation] = []
+
+    def add_observation(self, observation: Observation):
+        """添加一个新的observation对象到列表中，如果已存在相同id的observation则不添加"""
+        # 查找是否存在相同id的observation
+        for existing_obs in self.observations:
+            if existing_obs.observe_id == observation.observe_id:
+                # 如果找到相同id的observation，直接返回
+                return
+        # 如果没有找到相同id的observation，则添加新的
+        self.observations.append(observation)
+
+    def remove_observation(self, observation: Observation):
+        """从列表中移除一个observation对象"""
+        if observation in self.observations:
+            self.observations.remove(observation)
+
+    def get_all_observations(self) -> list[Observation]:
+        """获取所有observation对象"""
+        return self.observations
+
+    def clear_observations(self):
+        """清空所有observation对象"""
+        self.observations.clear()
+
+    async def subheartflow_start_working(self):
+        while True:
+            current_time = time.time()
+            if current_time - self.last_reply_time > global_config.sub_heart_flow_freeze_time:  # 120秒无回复/不在场，冻结
+                self.is_active = False
+                await asyncio.sleep(global_config.sub_heart_flow_update_interval)  # 每60秒检查一次
+            else:
+                self.is_active = True
+                self.last_active_time = current_time  # 更新最后激活时间
+
+                observation = self.observations[0]
+                await observation.observe()
+
+                self.current_state.update_current_state_info()
+
+                await self.do_a_thinking()
+                await self.judge_willing()
+                await asyncio.sleep(global_config.sub_heart_flow_update_interval)
+
+            # 检查是否超过10分钟没有激活
+            if current_time - self.last_active_time > global_config.sub_heart_flow_stop_time:  # 5分钟无回复/不在场，销毁
+                logger.info(f"子心流 {self.subheartflow_id} 已经5分钟没有激活，正在销毁...")
+                break  # 退出循环，销毁自己
+
+    async def do_a_thinking(self):
+        current_thinking_info = self.current_mind
+        mood_info = self.current_state.mood
+
+        observation = self.observations[0]
+        chat_observe_info = observation.observe_info
+        print(f"chat_observe_info：{chat_observe_info}")
+
+        # 调取记忆
+        related_memory = await HippocampusManager.get_instance().get_memory_from_text(
+            text=chat_observe_info, max_memory_num=2, max_memory_length=2, max_depth=3, fast_retrieval=False
+        )
+
+        if related_memory:
+            related_memory_info = ""
+            for memory in related_memory:
+                related_memory_info += memory[1]
+        else:
+            related_memory_info = ""
+
+        # print(f"相关记忆：{related_memory_info}")
+
+        schedule_info = bot_schedule.get_current_num_task(num=1, time_info=False)
+
+        prompt = ""
+        prompt += f"你刚刚在做的事情是：{schedule_info}\n"
+        # prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
+        prompt += f"你{self.personality_info}\n"
+        if related_memory_info:
+            prompt += f"你想起来你之前见过的回忆：{related_memory_info}。\n以上是你的回忆，不一定是目前聊天里的人说的，也不一定是现在发生的事情，请记住。\n"
+        prompt += f"刚刚你的想法是{current_thinking_info}。\n"
+        prompt += "-----------------------------------\n"
+        prompt += f"现在你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：{chat_observe_info}\n"
+        prompt += f"你现在{mood_info}\n"
+        prompt += "现在你接下去继续思考，产生新的想法，不要分点输出，输出连贯的内心独白，不要太长，"
+        prompt += "但是记得结合上述的消息，要记得维持住你的人设，关注聊天和新内容，不要思考太多:"
+        reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
+
+        self.update_current_mind(reponse)
+
+        self.current_mind = reponse
+        logger.debug(f"prompt:\n{prompt}\n")
+        logger.info(f"麦麦的脑内状态：{self.current_mind}")
+
+    async def do_after_reply(self, reply_content, chat_talking_prompt):
+        # print("麦麦脑袋转起来了")
+        current_thinking_info = self.current_mind
+        mood_info = self.current_state.mood
+
+        observation = self.observations[0]
+        chat_observe_info = observation.observe_info
+
+        message_new_info = chat_talking_prompt
+        reply_info = reply_content
+        schedule_info = bot_schedule.get_current_num_task(num=1, time_info=False)
+
+        prompt = ""
+        prompt += f"你现在正在做的事情是：{schedule_info}\n"
+        prompt += f"你{self.personality_info}\n"
+        prompt += f"现在你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：{chat_observe_info}\n"
+        prompt += f"刚刚你的想法是{current_thinking_info}。"
+        prompt += f"你现在看到了网友们发的新消息:{message_new_info}\n"
+        prompt += f"你刚刚回复了群友们:{reply_info}"
+        prompt += f"你现在{mood_info}"
+        prompt += "现在你接下去继续思考，产生新的想法，记得保留你刚刚的想法，不要分点输出，输出连贯的内心独白"
+        prompt += "不要太长，但是记得结合上述的消息，要记得你的人设，关注聊天和新内容，关注你回复的内容，不要思考太多:"
+
+        reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
+
+        self.update_current_mind(reponse)
+
+        self.current_mind = reponse
+        logger.info(f"麦麦回复后的脑内状态：{self.current_mind}")
+
+        self.last_reply_time = time.time()
+
+    async def judge_willing(self):
+        # print("麦麦闹情绪了1")
+        current_thinking_info = self.current_mind
+        mood_info = self.current_state.mood
+        # print("麦麦闹情绪了2")
+        prompt = ""
+        prompt += f"{self.personality_info}\n"
+        prompt += "现在你正在上网，和qq群里的网友们聊天"
+        prompt += f"你现在的想法是{current_thinking_info}。"
+        prompt += f"你现在{mood_info}。"
+        prompt += "现在请你思考，你想不想发言或者回复，请你输出一个数字，1-10，1表示非常不想，10表示非常想。"
+        prompt += "请你用<>包裹你的回复意愿，输出<1>表示不想回复，输出<10>表示非常想回复。请你考虑，你完全可以不回复"
+
+        response, reasoning_content = await self.llm_model.generate_response_async(prompt)
+        # 解析willing值
+        willing_match = re.search(r"<(\d+)>", response)
+        if willing_match:
+            self.current_state.willing = int(willing_match.group(1))
+        else:
+            self.current_state.willing = 0
+
+        return self.current_state.willing
+
+    def update_current_mind(self, reponse):
+        self.past_mind.append(self.current_mind)
+        self.current_mind = reponse
+
+
+# subheartflow = SubHeartflow()