FEAT:PPPPfc in群聊，优化聊天流相关功能，新增获取聊天流名称的方法，调整日志输出以包含流名称，改进心流对话的提示信息，移除冗余代码，增强代码可读性。
This commit is contained in:
SengokuCola
@@ -44,10 +44,9 @@ def init_prompt():
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prompt += "现在是{time_now}，你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：\n{chat_observe_info}\n"
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prompt += "你现在{mood_info}\n"
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# prompt += "你注意到{sender_name}刚刚说：{message_txt}\n"
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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"
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prompt += "思考时可以想想如何对群聊内容进行回复。回复的要求是：平淡一些，简短一些，说中文，尽量不要说你说过的话。如果你要回复，最好只回复一个人的一个话题\n"
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prompt += "思考时可以想想如何对群聊内容进行回复，关注新话题，大家正在说的话才是聊天的主题。回复的要求是：平淡一些，简短一些，说中文，尽量不要说你说过的话。如果你要回复，最好只回复一个人的一个话题\n"
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prompt += "请注意不要输出多余内容(包括前后缀，冒号和引号，括号， 表情，等)，不要带有括号和动作描写"
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prompt += "记得结合上述的消息，生成内心想法，文字不要浮夸，注意{bot_name}指的就是你。"
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prompt += "记得结合上述的消息，不要分点输出,生成内心想法，文字不要浮夸，注意{bot_name}指的就是你。"
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Prompt(prompt, "sub_heartflow_prompt_before")
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prompt = ""
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# prompt += f"你现在正在做的事情是：{schedule_info}\n"
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@@ -246,33 +245,6 @@ class SubHeartflow:
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identity_detail = individuality.identity.identity_detail
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if identity_detail: random.shuffle(identity_detail); prompt_personality += f",{identity_detail[0]}"
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# who_chat_in_group = [
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# (chat_stream.platform, sender_info.user_id, sender_info.user_nickname) # 先添加当前发送者
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# ]
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# # 获取最近发言者，排除当前发送者，避免重复
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# recent_speakers = get_recent_group_speaker(
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# chat_stream.stream_id,
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# (chat_stream.platform, sender_info.user_id),
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# limit=global_config.MAX_CONTEXT_SIZE -1 # 减去当前发送者
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# )
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# who_chat_in_group.extend(recent_speakers)
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# relation_prompt = ""
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# unique_speakers = set() # 确保人物信息不重复
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# for person_tuple in who_chat_in_group:
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# person_key = (person_tuple[0], person_tuple[1]) # 使用 platform+id 作为唯一标识
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# if person_key not in unique_speakers:
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# relation_prompt += await relationship_manager.build_relationship_info(person_tuple)
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# unique_speakers.add(person_key)
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# relation_prompt_all = (await global_prompt_manager.get_prompt_async("relationship_prompt")).format(
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# relation_prompt, sender_info.user_nickname
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# )
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# sender_name_sign = (
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# f"<{chat_stream.platform}:{sender_info.user_id}:{sender_info.user_nickname}:{sender_info.user_cardname or 'NoCard'}>"
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# )
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time_now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
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prompt = (await global_prompt_manager.get_prompt_async("sub_heartflow_prompt_before")).format(
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@@ -190,6 +190,20 @@ class ChatManager:
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stream_id = self._generate_stream_id(platform, user_info, group_info)
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return self.streams.get(stream_id)
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def get_stream_name(self, stream_id: str) -> Optional[str]:
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"""根据 stream_id 获取聊天流名称"""
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stream = self.get_stream(stream_id)
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if not stream:
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return None
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if stream.group_info and stream.group_info.group_name:
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return stream.group_info.group_name
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elif stream.user_info and stream.user_info.user_nickname:
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return f"{stream.user_info.user_nickname}的私聊"
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else:
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# 如果没有群名或用户昵称，返回 None 或其他默认值
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return None
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@staticmethod
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async def _save_stream(stream: ChatStream):
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"""保存聊天流到数据库"""
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@@ -105,12 +105,13 @@ class HeartFC_Chat:
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await asyncio.sleep(INTEREST_MONITOR_INTERVAL_SECONDS)
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try:
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active_stream_ids = list(heartflow.get_all_subheartflows_streams_ids())
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logger.trace(f"检查 {len(active_stream_ids)} 个活跃流是否足以开启心流对话...")
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# logger.trace(f"检查 {len(active_stream_ids)} 个活跃流是否足以开启心流对话...") # 调试日志
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for stream_id in active_stream_ids:
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stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
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sub_hf = heartflow.get_subheartflow(stream_id)
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if not sub_hf:
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logger.warning(f"监控循环: 无法获取活跃流 {stream_id} 的 sub_hf")
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logger.warning(f"监控循环: 无法获取活跃流 {stream_name} 的 sub_hf")
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continue
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should_trigger = False
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@@ -118,24 +119,21 @@ class HeartFC_Chat:
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interest_chatting = self.interest_manager.get_interest_chatting(stream_id)
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if interest_chatting:
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should_trigger = interest_chatting.should_evaluate_reply()
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if should_trigger:
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logger.info(f"[{stream_id}] 基于兴趣概率决定启动交流模式 (概率: {interest_chatting.current_reply_probability:.4f})。")
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# if should_trigger:
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# logger.info(f"[{stream_name}] 基于兴趣概率决定启动交流模式 (概率: {interest_chatting.current_reply_probability:.4f})。")
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else:
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logger.trace(f"[{stream_id}] 没有找到对应的 InterestChatting 实例，跳过基于兴趣的触发检查。")
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logger.trace(f"[{stream_name}] 没有找到对应的 InterestChatting 实例，跳过基于兴趣的触发检查。")
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except Exception as e:
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logger.error(f"检查兴趣触发器时出错 流 {stream_id}: {e}")
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logger.error(f"检查兴趣触发器时出错 流 {stream_name}: {e}")
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logger.error(traceback.format_exc())
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if should_trigger:
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logger.info(f"[{stream_id}] 触发条件满足, 委托给PFChatting.")
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# --- 修改: 获取 PFChatting 实例并调用 add_time (无参数，时间由内部衰减逻辑决定) ---
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pf_instance = await self._get_or_create_pf_chatting(stream_id)
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if pf_instance:
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# 调用 add_time 启动或延长循环，时间由 PFChatting 内部决定
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# logger.info(f"[{stream_name}] 触发条件满足, 委托给PFChatting.")
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asyncio.create_task(pf_instance.add_time())
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else:
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logger.error(f"[{stream_id}] 无法获取或创建PFChatting实例。跳过触发。")
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logger.error(f"[{stream_name}] 无法获取或创建PFChatting实例。跳过触发。")
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except asyncio.CancelledError:
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logger.info("兴趣监控循环已取消。")
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@@ -187,7 +185,8 @@ class HeartFC_Chat:
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container.messages.remove(msg)
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break
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if not thinking_message:
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logger.warning(f"[{chat.stream_id}] 未找到对应的思考消息 {thinking_id}，可能已超时被移除")
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stream_name = chat_manager.get_stream_name(chat.stream_id) or chat.stream_id # 获取流名称
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logger.warning(f"[{stream_name}] 未找到对应的思考消息 {thinking_id}，可能已超时被移除")
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return None
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thinking_start_time = thinking_message.thinking_start_time
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@@ -220,7 +219,8 @@ class HeartFC_Chat:
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MessageManager().add_message(message_set)
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return first_bot_msg
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else:
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logger.warning(f"[{chat.stream_id}] 没有生成有效的回复消息集，无法发送。")
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stream_name = chat_manager.get_stream_name(chat.stream_id) or chat.stream_id # 获取流名称
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logger.warning(f"[{stream_name}] 没有生成有效的回复消息集，无法发送。")
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return None
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async def _handle_emoji(self, anchor_message: Optional[MessageRecv], response_set, send_emoji=""):
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@@ -278,6 +278,7 @@ class HeartFC_Chat:
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async def trigger_reply_generation(self, stream_id: str, observed_messages: List[dict]):
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"""根据 SubHeartflow 的触发信号生成回复 (基于观察)"""
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stream_name = chat_manager.get_stream_name(stream_id) or stream_id # <--- 在开始时获取名称
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chat = None
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sub_hf = None
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anchor_message: Optional[MessageRecv] = None # <--- 重命名，用于锚定回复的消息对象
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@@ -296,14 +297,14 @@ class HeartFC_Chat:
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with Timer("获取聊天流和子心流", timing_results):
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chat = chat_manager.get_stream(stream_id)
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if not chat:
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logger.error(f"[{stream_id}] 无法找到聊天流对象，无法生成回复。")
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logger.error(f"[{stream_name}] 无法找到聊天流对象，无法生成回复。")
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return
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sub_hf = heartflow.get_subheartflow(stream_id)
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if not sub_hf:
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logger.error(f"[{stream_id}] 无法找到子心流对象，无法生成回复。")
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logger.error(f"[{stream_name}] 无法找到子心流对象，无法生成回复。")
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return
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except Exception as e:
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logger.error(f"[{stream_id}] 获取 ChatStream 或 SubHeartflow 时出错: {e}")
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logger.error(f"[{stream_name}] 获取 ChatStream 或 SubHeartflow 时出错: {e}")
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logger.error(traceback.format_exc())
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return
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@@ -314,18 +315,18 @@ class HeartFC_Chat:
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if observed_messages:
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try:
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last_msg_dict = observed_messages[-1]
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logger.debug(f"[{stream_id}] Attempting to reconstruct MessageRecv from last observed message.")
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logger.debug(f"[{stream_name}] Attempting to reconstruct MessageRecv from last observed message.")
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anchor_message = MessageRecv(last_msg_dict, chat_stream=chat)
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if not (anchor_message and anchor_message.message_info and anchor_message.message_info.message_id and anchor_message.message_info.user_info):
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raise ValueError("Reconstructed MessageRecv missing essential info.")
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userinfo = anchor_message.message_info.user_info
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messageinfo = anchor_message.message_info
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logger.debug(f"[{stream_id}] Successfully reconstructed anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
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logger.debug(f"[{stream_name}] Successfully reconstructed anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
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except Exception as e_reconstruct:
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logger.warning(f"[{stream_id}] Reconstructing MessageRecv from observed message failed: {e_reconstruct}. Will create placeholder.")
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logger.warning(f"[{stream_name}] Reconstructing MessageRecv from observed message failed: {e_reconstruct}. Will create placeholder.")
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reconstruction_failed = True
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else:
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logger.warning(f"[{stream_id}] observed_messages is empty. Will create placeholder anchor message.")
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logger.warning(f"[{stream_name}] observed_messages is empty. Will create placeholder anchor message.")
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reconstruction_failed = True # Treat empty observed_messages as a failure to reconstruct
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# 如果重建失败或 observed_messages 为空，创建占位符
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@@ -353,10 +354,10 @@ class HeartFC_Chat:
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anchor_message.update_chat_stream(chat)
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userinfo = anchor_message.message_info.user_info
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messageinfo = anchor_message.message_info
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logger.info(f"[{stream_id}] Created placeholder anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
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logger.info(f"[{stream_name}] Created placeholder anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
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except Exception as e:
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logger.error(f"[{stream_id}] 获取或创建锚点消息时出错: {e}")
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logger.error(f"[{stream_name}] 获取或创建锚点消息时出错: {e}")
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logger.error(traceback.format_exc())
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anchor_message = None # 确保出错时 anchor_message 为 None
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@@ -366,10 +367,10 @@ class HeartFC_Chat:
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thinking_count = container.count_thinking_messages()
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max_thinking_messages = getattr(global_config, 'max_concurrent_thinking_messages', 3)
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if thinking_count >= max_thinking_messages:
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logger.warning(f"聊天流 {chat.stream_id} 已有 {thinking_count} 条思考消息，取消回复。")
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logger.warning(f"聊天流 {stream_name} 已有 {thinking_count} 条思考消息，取消回复。")
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return
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except Exception as e:
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logger.error(f"[{stream_id}] 检查并发思考限制时出错: {e}")
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logger.error(f"[{stream_name}] 检查并发思考限制时出错: {e}")
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return
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# --- 5. 创建思考消息 (使用 anchor_message) ---
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@@ -378,14 +379,14 @@ class HeartFC_Chat:
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# 注意：这里传递 anchor_message 给 _create_thinking_message
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thinking_id = await self._create_thinking_message(anchor_message)
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except Exception as e:
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logger.error(f"[{stream_id}] 创建思考消息失败: {e}")
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logger.error(f"[{stream_name}] 创建思考消息失败: {e}")
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return
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if not thinking_id:
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logger.error(f"[{stream_id}] 未能成功创建思考消息 ID，无法继续回复流程。")
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logger.error(f"[{stream_name}] 未能成功创建思考消息 ID，无法继续回复流程。")
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return
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# --- 6. 信息捕捉器 (使用 anchor_message) ---
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logger.trace(f"[{stream_id}] 创建捕捉器，thinking_id:{thinking_id}")
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logger.trace(f"[{stream_name}] 创建捕捉器，thinking_id:{thinking_id}")
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info_catcher = info_catcher_manager.get_info_catcher(thinking_id)
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info_catcher.catch_decide_to_response(anchor_message)
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@@ -406,9 +407,9 @@ class HeartFC_Chat:
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text = msg_dict.get('detailed_plain_text', '')
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if text: context_texts.append(text)
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observation_context_text = "\n".join(context_texts)
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logger.debug(f"[{stream_id}] Context for tools:\n{observation_context_text[-200:]}...") # 打印部分上下文
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logger.debug(f"[{stream_name}] Context for tools:\n{observation_context_text[-200:]}...") # 打印部分上下文
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else:
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logger.warning(f"[{stream_id}] observed_messages 列表为空，无法为工具提供上下文。")
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logger.warning(f"[{stream_name}] observed_messages 列表为空，无法为工具提供上下文。")
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if observation_context_text:
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with Timer("思考前使用工具", timing_results):
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@@ -428,7 +429,7 @@ class HeartFC_Chat:
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if tool_name == "send_emoji":
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send_emoji = tool_data[0]["content"]
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except Exception as e:
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logger.error(f"[{stream_id}] 思考前工具调用失败: {e}")
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logger.error(f"[{stream_name}] 思考前工具调用失败: {e}")
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logger.error(traceback.format_exc())
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# --- 8. 调用 SubHeartflow 进行思考 (不传递具体消息文本和发送者) ---
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@@ -441,9 +442,9 @@ class HeartFC_Chat:
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extra_info=tool_result_info,
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obs_id=get_mid_memory_id,
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)
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logger.info(f"[{stream_id}] SubHeartflow 思考完成: {current_mind}")
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logger.info(f"[{stream_name}] SubHeartflow 思考完成: {current_mind}")
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except Exception as e:
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logger.error(f"[{stream_id}] SubHeartflow 思考失败: {e}")
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logger.error(f"[{stream_name}] SubHeartflow 思考失败: {e}")
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logger.error(traceback.format_exc())
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if info_catcher: info_catcher.done_catch()
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return # 思考失败则不继续
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@@ -456,14 +457,14 @@ class HeartFC_Chat:
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# response_set = await self.gpt.generate_response(anchor_message, thinking_id, current_mind=current_mind)
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response_set = await self.gpt.generate_response(anchor_message, thinking_id)
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except Exception as e:
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logger.error(f"[{stream_id}] GPT 生成回复失败: {e}")
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logger.error(f"[{stream_name}] GPT 生成回复失败: {e}")
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logger.error(traceback.format_exc())
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if info_catcher: info_catcher.done_catch()
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return
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if info_catcher:
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info_catcher.catch_after_generate_response(timing_results.get("生成最终回复(GPT)"))
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if not response_set:
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logger.info(f"[{stream_id}] 回复生成失败或为空。")
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logger.info(f"[{stream_name}] 回复生成失败或为空。")
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if info_catcher: info_catcher.done_catch()
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return
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@@ -473,7 +474,7 @@ class HeartFC_Chat:
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with Timer("发送消息", timing_results):
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first_bot_msg = await self._send_response_messages(anchor_message, response_set, thinking_id)
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except Exception as e:
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logger.error(f"[{stream_id}] 发送消息失败: {e}")
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logger.error(f"[{stream_name}] 发送消息失败: {e}")
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logger.error(traceback.format_exc())
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if info_catcher:
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info_catcher.catch_after_response(timing_results.get("发送消息"), response_set, first_bot_msg)
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@@ -483,16 +484,16 @@ class HeartFC_Chat:
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try:
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with Timer("处理表情包", timing_results):
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if send_emoji:
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logger.info(f"[{stream_id}] 决定发送表情包 {send_emoji}")
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logger.info(f"[{stream_name}] 决定发送表情包 {send_emoji}")
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await self._handle_emoji(anchor_message, response_set, send_emoji)
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except Exception as e:
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logger.error(f"[{stream_id}] 处理表情包失败: {e}")
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logger.error(f"[{stream_name}] 处理表情包失败: {e}")
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logger.error(traceback.format_exc())
|
||||
|
||||
# --- 12. 记录性能日志 --- #
|
||||
timing_str = " | ".join([f"{step}: {duration:.2f}秒" for step, duration in timing_results.items()])
|
||||
response_msg = " ".join(response_set) if response_set else "无回复"
|
||||
logger.info(f"[{stream_id}] 回复任务完成 (Observation Triggered): | 思维消息: {response_msg[:30]}... | 性能计时: {timing_str}")
|
||||
logger.info(f"[{stream_name}] 回复任务完成 (Observation Triggered): | 思维消息: {response_msg[:30]}... | 性能计时: {timing_str}")
|
||||
|
||||
# --- 13. 更新关系情绪 (使用 anchor_message) ---
|
||||
if first_bot_msg: # 仅在成功发送消息后
|
||||
@@ -500,7 +501,7 @@ class HeartFC_Chat:
|
||||
with Timer("更新关系情绪", timing_results):
|
||||
await self._update_relationship(anchor_message, response_set)
|
||||
except Exception as e:
|
||||
logger.error(f"[{stream_id}] 更新关系情绪失败: {e}")
|
||||
logger.error(f"[{stream_name}] 更新关系情绪失败: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
except Exception as e:
|
||||
|
||||
@@ -218,13 +218,13 @@ class InterestChatting:
|
||||
if self.current_reply_probability > 0:
|
||||
# 只有在阈值之上且概率大于0时才有可能触发
|
||||
trigger = random.random() < self.current_reply_probability
|
||||
if trigger:
|
||||
logger.info(f"回复概率评估触发! 概率: {self.current_reply_probability:.4f}, 阈值: {self.trigger_threshold}, 兴趣: {self.interest_level:.2f}")
|
||||
# 可选：触发后是否重置/降低概率？根据需要决定
|
||||
# self.current_reply_probability = self.base_reply_probability # 例如，触发后降回基础概率
|
||||
# self.current_reply_probability *= 0.5 # 例如，触发后概率减半
|
||||
else:
|
||||
logger.debug(f"回复概率评估未触发。概率: {self.current_reply_probability:.4f}")
|
||||
# if trigger:
|
||||
# logger.info(f"回复概率评估触发! 概率: {self.current_reply_probability:.4f}, 阈值: {self.trigger_threshold}, 兴趣: {self.interest_level:.2f}")
|
||||
# # 可选：触发后是否重置/降低概率？根据需要决定
|
||||
# # self.current_reply_probability = self.base_reply_probability # 例如，触发后降回基础概率
|
||||
# # self.current_reply_probability *= 0.5 # 例如，触发后概率减半
|
||||
# else:
|
||||
# logger.debug(f"回复概率评估未触发。概率: {self.current_reply_probability:.4f}")
|
||||
return trigger
|
||||
else:
|
||||
# logger.debug(f"Reply evaluation check: Below threshold or zero probability. Probability: {self.current_reply_probability:.4f}")
|
||||
@@ -282,7 +282,7 @@ class InterestManager:
|
||||
"""后台日志记录任务的异步函数 (记录历史数据，包含 group_name)"""
|
||||
while True:
|
||||
await asyncio.sleep(interval_seconds)
|
||||
logger.debug(f"运行定期历史记录 (间隔: {interval_seconds}秒)...")
|
||||
# logger.debug(f"运行定期历史记录 (间隔: {interval_seconds}秒)...")
|
||||
try:
|
||||
current_timestamp = time.time()
|
||||
all_states = self.get_all_interest_states() # 获取当前所有状态
|
||||
@@ -435,7 +435,8 @@ class InterestManager:
|
||||
interest_chatting = self._get_or_create_interest_chatting(stream_id)
|
||||
# 调用修改后的 increase_interest，不再传入 message
|
||||
interest_chatting.increase_interest(current_time, value)
|
||||
logger.debug(f"增加了聊天流 {stream_id} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}") # 更新日志
|
||||
stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
|
||||
logger.debug(f"增加了聊天流 {stream_name} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}") # 更新日志
|
||||
|
||||
def decrease_interest(self, stream_id: str, value: float):
|
||||
"""降低指定聊天流的兴趣度"""
|
||||
@@ -444,9 +445,11 @@ class InterestManager:
|
||||
interest_chatting = self.get_interest_chatting(stream_id)
|
||||
if interest_chatting:
|
||||
interest_chatting.decrease_interest(current_time, value)
|
||||
logger.debug(f"降低了聊天流 {stream_id} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}")
|
||||
stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
|
||||
logger.debug(f"降低了聊天流 {stream_name} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}")
|
||||
else:
|
||||
logger.warning(f"尝试降低不存在的聊天流 {stream_id} 的兴趣度")
|
||||
stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
|
||||
logger.warning(f"尝试降低不存在的聊天流 {stream_name} 的兴趣度")
|
||||
|
||||
def cleanup_inactive_chats(self, max_age_seconds=INACTIVE_THRESHOLD_SECONDS):
|
||||
"""
|
||||
@@ -474,7 +477,8 @@ class InterestManager:
|
||||
|
||||
if should_remove:
|
||||
keys_to_remove.append(stream_id)
|
||||
logger.debug(f"Marking stream_id {stream_id} for removal. Reason: {reason}")
|
||||
stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
|
||||
logger.debug(f"Marking stream {stream_name} for removal. Reason: {reason}")
|
||||
|
||||
if keys_to_remove:
|
||||
logger.info(f"清理识别到 {len(keys_to_remove)} 个不活跃/低兴趣的流。")
|
||||
@@ -483,7 +487,8 @@ class InterestManager:
|
||||
# 再次检查 key 是否存在，以防万一在迭代和删除之间状态改变
|
||||
if key in self.interest_dict:
|
||||
del self.interest_dict[key]
|
||||
logger.debug(f"移除了流_id: {key}")
|
||||
stream_name = chat_manager.get_stream_name(key) or key # 获取流名称
|
||||
logger.debug(f"移除了流: {stream_name}")
|
||||
final_count = initial_count - len(keys_to_remove)
|
||||
logger.info(f"清理完成。移除了 {len(keys_to_remove)} 个流。当前数量: {final_count}")
|
||||
else:
|
||||
|
||||
@@ -92,11 +92,18 @@ class PFChatting:
|
||||
self._loop_active: bool = False # Is the loop currently running?
|
||||
self._loop_task: Optional[asyncio.Task] = None # Stores the main loop task
|
||||
self._trigger_count_this_activation: int = 0 # Counts triggers within an active period
|
||||
self._initial_duration: float = 10.0 # 首次触发增加的时间
|
||||
self._last_added_duration: float = self._initial_duration # <--- 新增：存储上次增加的时间
|
||||
|
||||
# Removed pending_replies as processing is now serial within the loop
|
||||
# self.pending_replies: Dict[str, PendingReply] = {}
|
||||
|
||||
|
||||
def _get_log_prefix(self) -> str:
|
||||
"""获取日志前缀，包含可读的流名称"""
|
||||
stream_name = chat_manager.get_stream_name(self.stream_id) or self.stream_id
|
||||
return f"[{stream_name}]"
|
||||
|
||||
async def _initialize(self) -> bool:
|
||||
"""
|
||||
Lazy initialization to resolve chat_stream and sub_hf using the provided identifier.
|
||||
@@ -105,95 +112,97 @@ class PFChatting:
|
||||
async with self._init_lock:
|
||||
if self._initialized:
|
||||
return True
|
||||
log_prefix = self._get_log_prefix() # 获取前缀
|
||||
try:
|
||||
self.chat_stream = chat_manager.get_stream(self.stream_id)
|
||||
|
||||
if not self.chat_stream:
|
||||
logger.error(f"PFChatting-{self.stream_id} 获取ChatStream失败。")
|
||||
logger.error(f"{log_prefix} 获取ChatStream失败。")
|
||||
return False
|
||||
|
||||
# 子心流(SubHeartflow)可能初始不存在但后续会被创建
|
||||
# 在需要它的方法中应优雅处理其可能缺失的情况
|
||||
self.sub_hf = heartflow.get_subheartflow(self.stream_id)
|
||||
if not self.sub_hf:
|
||||
logger.warning(f"PFChatting-{self.stream_id} 获取SubHeartflow失败。一些功能可能受限。")
|
||||
logger.warning(f"{log_prefix} 获取SubHeartflow失败。一些功能可能受限。")
|
||||
# 决定是否继续初始化。目前允许初始化。
|
||||
|
||||
self._initialized = True
|
||||
logger.info(f"PFChatting-{self.stream_id} 初始化成功。")
|
||||
logger.info(f"麦麦感觉到了，激发了PFChatting{log_prefix} 初始化成功。")
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.error(f"PFChatting-{self.stream_id} 初始化失败: {e}")
|
||||
logger.error(f"{log_prefix} 初始化失败: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return False
|
||||
|
||||
async def add_time(self):
|
||||
"""
|
||||
Adds time to the loop timer with decay and starts the loop if it's not active.
|
||||
Called externally (e.g., by HeartFC_Chat) to trigger or extend activity.
|
||||
Durations: 1st trigger = 10s, 2nd = 5s, 3rd+ = 2s.
|
||||
First trigger adds initial duration, subsequent triggers add 50% of the previous addition.
|
||||
"""
|
||||
log_prefix = self._get_log_prefix()
|
||||
if not self._initialized:
|
||||
if not await self._initialize():
|
||||
logger.error(f"PFChatting-{self.stream_id} 无法添加时间: 未初始化。")
|
||||
logger.error(f"{log_prefix} 无法添加时间: 未初始化。")
|
||||
return
|
||||
|
||||
async with self._timer_lock:
|
||||
duration_to_add: float = 0.0
|
||||
|
||||
if not self._loop_active: # First trigger for this activation cycle
|
||||
duration_to_add = 10.0
|
||||
self._trigger_count_this_activation = 1 # Start counting for this activation
|
||||
logger.info(f"[{self.stream_id}] First trigger in activation. Adding {duration_to_add:.1f}s.")
|
||||
else: # Loop is already active, apply decay
|
||||
duration_to_add = self._initial_duration # 使用初始值
|
||||
self._last_added_duration = duration_to_add # 更新上次增加的值
|
||||
self._trigger_count_this_activation = 1 # Start counting
|
||||
logger.info(f"{log_prefix} First trigger in activation. Adding {duration_to_add:.2f}s.")
|
||||
else: # Loop is already active, apply 50% reduction
|
||||
self._trigger_count_this_activation += 1
|
||||
if self._trigger_count_this_activation == 2:
|
||||
duration_to_add = 5.0
|
||||
logger.info(f"[{self.stream_id}] 2nd trigger in activation. Adding {duration_to_add:.1f}s.")
|
||||
else: # 3rd trigger or more
|
||||
duration_to_add = 2.0
|
||||
logger.info(f"[{self.stream_id}] {self._trigger_count_this_activation}rd/+ trigger in activation. Adding {duration_to_add:.1f}s.")
|
||||
duration_to_add = self._last_added_duration * 0.5
|
||||
self._last_added_duration = duration_to_add # 更新上次增加的值
|
||||
logger.info(f"{log_prefix} Trigger #{self._trigger_count_this_activation}. Adding {duration_to_add:.2f}s (50% of previous). Timer was {self._loop_timer:.1f}s.")
|
||||
|
||||
# 添加计算出的时间
|
||||
new_timer_value = self._loop_timer + duration_to_add
|
||||
self._loop_timer = max(0, new_timer_value) # Ensure timer doesn't go negative conceptually
|
||||
logger.info(f"[{self.stream_id}] Timer is now {self._loop_timer:.1f}s.")
|
||||
self._loop_timer = max(0, new_timer_value)
|
||||
logger.info(f"{log_prefix} Timer is now {self._loop_timer:.1f}s.")
|
||||
|
||||
# Start the loop if it wasn't active and timer is positive
|
||||
if not self._loop_active and self._loop_timer > 0:
|
||||
logger.info(f"[{self.stream_id}] Timer > 0 and loop not active. Starting PF loop.")
|
||||
logger.info(f"{log_prefix} Timer > 0 and loop not active. Starting PF loop.")
|
||||
self._loop_active = True
|
||||
# Cancel previous task just in case (shouldn't happen if logic is correct)
|
||||
if self._loop_task and not self._loop_task.done():
|
||||
logger.warning(f"[{self.stream_id}] Found existing loop task unexpectedly during start. Cancelling it.")
|
||||
logger.warning(f"{log_prefix} Found existing loop task unexpectedly during start. Cancelling it.")
|
||||
self._loop_task.cancel()
|
||||
|
||||
self._loop_task = asyncio.create_task(self._run_pf_loop())
|
||||
# Add callback to reset state if loop finishes or errors out
|
||||
self._loop_task.add_done_callback(self._handle_loop_completion)
|
||||
elif self._loop_active:
|
||||
logger.debug(f"[{self.stream_id}] Loop already active. Timer extended.")
|
||||
logger.debug(f"{log_prefix} Loop already active. Timer extended.")
|
||||
|
||||
|
||||
def _handle_loop_completion(self, task: asyncio.Task):
|
||||
"""Callback executed when the _run_pf_loop task finishes."""
|
||||
log_prefix = self._get_log_prefix()
|
||||
try:
|
||||
# Check if the task raised an exception
|
||||
exception = task.exception()
|
||||
if exception:
|
||||
logger.error(f"[{self.stream_id}] PF loop task completed with error: {exception}")
|
||||
logger.error(f"{log_prefix} PF loop task completed with error: {exception}")
|
||||
logger.error(traceback.format_exc())
|
||||
else:
|
||||
logger.info(f"[{self.stream_id}] PF loop task completed normally (timer likely expired or cancelled).")
|
||||
logger.info(f"{log_prefix} PF loop task completed normally (timer likely expired or cancelled).")
|
||||
except asyncio.CancelledError:
|
||||
logger.info(f"[{self.stream_id}] PF loop task was cancelled.")
|
||||
logger.info(f"{log_prefix} PF loop task was cancelled.")
|
||||
finally:
|
||||
# Reset state regardless of how the task finished
|
||||
self._loop_active = False
|
||||
self._loop_task = None
|
||||
self._last_added_duration = self._initial_duration # <--- 重置下次首次触发的增加时间
|
||||
self._trigger_count_this_activation = 0 # 重置计数器
|
||||
# Ensure lock is released if the loop somehow exited while holding it
|
||||
if self._processing_lock.locked():
|
||||
logger.warning(f"[{self.stream_id}] Releasing processing lock after loop task completion.")
|
||||
logger.warning(f"{log_prefix} Releasing processing lock after loop task completion.")
|
||||
self._processing_lock.release()
|
||||
logger.info(f"[{self.stream_id}] Loop state reset.")
|
||||
logger.info(f"{log_prefix} Loop state reset.")
|
||||
|
||||
|
||||
async def _run_pf_loop(self):
|
||||
@@ -201,14 +210,14 @@ class PFChatting:
|
||||
主循环，当计时器>0时持续进行计划并可能回复消息
|
||||
管理每个循环周期的处理锁
|
||||
"""
|
||||
logger.info(f"[{self.stream_id}] 开始执行PF循环")
|
||||
logger.info(f"{self._get_log_prefix()} 开始执行PF循环")
|
||||
try:
|
||||
while True:
|
||||
# 使用计时器锁安全地检查当前计时器值
|
||||
async with self._timer_lock:
|
||||
current_timer = self._loop_timer
|
||||
if current_timer <= 0:
|
||||
logger.info(f"[{self.stream_id}] 计时器为零或负数({current_timer:.1f}秒)，退出PF循环")
|
||||
logger.info(f"{self._get_log_prefix()} 计时器为零或负数({current_timer:.1f}秒)，退出PF循环")
|
||||
break # 退出条件：计时器到期
|
||||
|
||||
# 记录循环开始时间
|
||||
@@ -221,7 +230,7 @@ class PFChatting:
|
||||
try:
|
||||
await self._processing_lock.acquire()
|
||||
acquired_lock = True
|
||||
logger.debug(f"[{self.stream_id}] 循环获取到处理锁")
|
||||
logger.debug(f"{self._get_log_prefix()} 循环获取到处理锁")
|
||||
|
||||
# --- Planner ---
|
||||
# Planner decides action, reasoning, emoji_query, etc.
|
||||
@@ -234,16 +243,16 @@ class PFChatting:
|
||||
observed_messages = planner_result.get("observed_messages", []) # Planner needs to return this
|
||||
|
||||
if action == "text_reply":
|
||||
logger.info(f"[{self.stream_id}] 计划循环决定: 回复文本.")
|
||||
logger.info(f"{self._get_log_prefix()} 计划循环决定: 回复文本.")
|
||||
action_taken_this_cycle = True
|
||||
# --- 回复器 ---
|
||||
anchor_message = await self._get_anchor_message(observed_messages)
|
||||
if not anchor_message:
|
||||
logger.error(f"[{self.stream_id}] 循环: 无法获取锚点消息用于回复. 跳过周期.")
|
||||
logger.error(f"{self._get_log_prefix()} 循环: 无法获取锚点消息用于回复. 跳过周期.")
|
||||
else:
|
||||
thinking_id = await self.heartfc_chat._create_thinking_message(anchor_message)
|
||||
if not thinking_id:
|
||||
logger.error(f"[{self.stream_id}] 循环: 无法创建思考ID. 跳过周期.")
|
||||
logger.error(f"{self._get_log_prefix()} 循环: 无法创建思考ID. 跳过周期.")
|
||||
else:
|
||||
replier_result = None
|
||||
try:
|
||||
@@ -256,7 +265,7 @@ class PFChatting:
|
||||
send_emoji=send_emoji_from_tools
|
||||
)
|
||||
except Exception as e_replier:
|
||||
logger.error(f"[{self.stream_id}] 循环: 回复器工作失败: {e_replier}")
|
||||
logger.error(f"{self._get_log_prefix()} 循环: 回复器工作失败: {e_replier}")
|
||||
self._cleanup_thinking_message(thinking_id) # 清理思考消息
|
||||
# 继续循环, 视为非操作周期
|
||||
|
||||
@@ -264,61 +273,61 @@ class PFChatting:
|
||||
# --- Sender ---
|
||||
try:
|
||||
await self._sender(thinking_id, anchor_message, replier_result)
|
||||
logger.info(f"[{self.stream_id}] 循环: 发送器完成成功.")
|
||||
logger.info(f"{self._get_log_prefix()} 循环: 发送器完成成功.")
|
||||
except Exception as e_sender:
|
||||
logger.error(f"[{self.stream_id}] 循环: 发送器失败: {e_sender}")
|
||||
logger.error(f"{self._get_log_prefix()} 循环: 发送器失败: {e_sender}")
|
||||
self._cleanup_thinking_message(thinking_id) # 确保发送失败时清理
|
||||
# 继续循环, 视为非操作周期
|
||||
else:
|
||||
# Replier failed to produce result
|
||||
logger.warning(f"[{self.stream_id}] 循环: 回复器未产生结果. 跳过发送.")
|
||||
logger.warning(f"{self._get_log_prefix()} 循环: 回复器未产生结果. 跳过发送.")
|
||||
self._cleanup_thinking_message(thinking_id) # 清理思考消息
|
||||
|
||||
elif action == "emoji_reply":
|
||||
logger.info(f"[{self.stream_id}] 计划循环决定: 回复表情 ('{emoji_query}').")
|
||||
logger.info(f"{self._get_log_prefix()} 计划循环决定: 回复表情 ('{emoji_query}').")
|
||||
action_taken_this_cycle = True
|
||||
anchor = await self._get_anchor_message(observed_messages)
|
||||
if anchor:
|
||||
try:
|
||||
await self.heartfc_chat._handle_emoji(anchor, [], emoji_query)
|
||||
except Exception as e_emoji:
|
||||
logger.error(f"[{self.stream_id}] 循环: 发送表情失败: {e_emoji}")
|
||||
logger.error(f"{self._get_log_prefix()} 循环: 发送表情失败: {e_emoji}")
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}] 循环: 无法发送表情, 无法获取锚点.")
|
||||
logger.warning(f"{self._get_log_prefix()} 循环: 无法发送表情, 无法获取锚点.")
|
||||
|
||||
elif action == "no_reply":
|
||||
logger.info(f"[{self.stream_id}] 计划循环决定: 不回复. 原因: {reasoning}")
|
||||
logger.info(f"{self._get_log_prefix()} 计划循环决定: 不回复. 原因: {reasoning}")
|
||||
# Do nothing else, action_taken_this_cycle remains False
|
||||
|
||||
elif action == "error":
|
||||
logger.error(f"[{self.stream_id}] 计划循环返回错误或失败. 原因: {reasoning}")
|
||||
logger.error(f"{self._get_log_prefix()} 计划循环返回错误或失败. 原因: {reasoning}")
|
||||
# 视为非操作周期
|
||||
|
||||
else: # Unknown action
|
||||
logger.warning(f"[{self.stream_id}] 计划循环返回未知动作: {action}. 视为不回复.")
|
||||
logger.warning(f"{self._get_log_prefix()} 计划循环返回未知动作: {action}. 视为不回复.")
|
||||
# 视为非操作周期
|
||||
|
||||
except Exception as e_cycle:
|
||||
# Catch errors occurring within the locked section (e.g., planner crash)
|
||||
logger.error(f"[{self.stream_id}] 循环周期执行时发生错误: {e_cycle}")
|
||||
logger.error(f"{self._get_log_prefix()} 循环周期执行时发生错误: {e_cycle}")
|
||||
logger.error(traceback.format_exc())
|
||||
# Ensure lock is released if an error occurs before the finally block
|
||||
if acquired_lock and self._processing_lock.locked():
|
||||
self._processing_lock.release()
|
||||
acquired_lock = False # 防止在 finally 块中重复释放
|
||||
logger.warning(f"[{self.stream_id}] 由于循环周期中的错误释放了处理锁.")
|
||||
logger.warning(f"{self._get_log_prefix()} 由于循环周期中的错误释放了处理锁.")
|
||||
|
||||
finally:
|
||||
# Ensure the lock is always released after a cycle
|
||||
if acquired_lock:
|
||||
self._processing_lock.release()
|
||||
logger.debug(f"[{self.stream_id}] 循环释放了处理锁.")
|
||||
logger.debug(f"{self._get_log_prefix()} 循环释放了处理锁.")
|
||||
|
||||
# --- Timer Decrement ---
|
||||
cycle_duration = time.monotonic() - loop_cycle_start_time
|
||||
async with self._timer_lock:
|
||||
self._loop_timer -= cycle_duration
|
||||
logger.debug(f"[{self.stream_id}] 循环周期耗时 {cycle_duration:.2f}s. 计时器剩余: {self._loop_timer:.1f}s.")
|
||||
logger.debug(f"{self._get_log_prefix()} 循环周期耗时 {cycle_duration:.2f}s. 计时器剩余: {self._loop_timer:.1f}s.")
|
||||
|
||||
# --- Delay ---
|
||||
# Add a small delay, especially if no action was taken, to prevent busy-waiting
|
||||
@@ -329,21 +338,21 @@ class PFChatting:
|
||||
elif cycle_duration < 0.2: # Minimum delay even if action was taken
|
||||
await asyncio.sleep(0.2)
|
||||
except asyncio.CancelledError:
|
||||
logger.info(f"[{self.stream_id}] Sleep interrupted, likely loop cancellation.")
|
||||
logger.info(f"{self._get_log_prefix()} Sleep interrupted, likely loop cancellation.")
|
||||
break # Exit loop if cancelled during sleep
|
||||
|
||||
except asyncio.CancelledError:
|
||||
logger.info(f"[{self.stream_id}] PF loop task received cancellation request.")
|
||||
logger.info(f"{self._get_log_prefix()} PF loop task received cancellation request.")
|
||||
except Exception as e_loop_outer:
|
||||
# Catch errors outside the main cycle lock (should be rare)
|
||||
logger.error(f"[{self.stream_id}] PF loop encountered unexpected outer error: {e_loop_outer}")
|
||||
logger.error(f"{self._get_log_prefix()} PF loop encountered unexpected outer error: {e_loop_outer}")
|
||||
logger.error(traceback.format_exc())
|
||||
finally:
|
||||
# Reset trigger count when loop finishes
|
||||
async with self._timer_lock:
|
||||
self._trigger_count_this_activation = 0
|
||||
logger.debug(f"[{self.stream_id}] Trigger count reset to 0 as loop finishes.")
|
||||
logger.info(f"[{self.stream_id}] PF loop finished execution run.")
|
||||
logger.debug(f"{self._get_log_prefix()} Trigger count reset to 0 as loop finishes.")
|
||||
logger.info(f"{self._get_log_prefix()} PF loop finished execution run.")
|
||||
# State reset (_loop_active, _loop_task) is handled by _handle_loop_completion callback
|
||||
|
||||
async def _planner(self) -> Dict[str, Any]:
|
||||
@@ -353,6 +362,7 @@ class PFChatting:
|
||||
{'action': str, 'reasoning': str, 'emoji_query': str, 'current_mind': str,
|
||||
'send_emoji_from_tools': str, 'observed_messages': List[dict]}
|
||||
"""
|
||||
log_prefix = self._get_log_prefix()
|
||||
observed_messages: List[dict] = []
|
||||
tool_result_info = {}
|
||||
get_mid_memory_id = []
|
||||
@@ -363,14 +373,14 @@ class PFChatting:
|
||||
try:
|
||||
if self.sub_hf and self.sub_hf._get_primary_observation():
|
||||
observation = self.sub_hf._get_primary_observation()
|
||||
logger.debug(f"[{self.stream_id}][Planner] 调用 observation.observe()...")
|
||||
logger.debug(f"{log_prefix}[Planner] 调用 observation.observe()...")
|
||||
await observation.observe() # 主动观察以获取最新消息
|
||||
observed_messages = observation.talking_message # 获取更新后的消息列表
|
||||
logger.debug(f"[{self.stream_id}][Planner] 获取到 {len(observed_messages)} 条观察消息。")
|
||||
logger.debug(f"{log_prefix}[Planner] 获取到 {len(observed_messages)} 条观察消息。")
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] 无法获取 SubHeartflow 或 Observation 来获取消息。")
|
||||
logger.warning(f"{log_prefix}[Planner] 无法获取 SubHeartflow 或 Observation 来获取消息。")
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.stream_id}][Planner] 获取观察信息时出错: {e}")
|
||||
logger.error(f"{log_prefix}[Planner] 获取观察信息时出错: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
# --- 结束获取观察信息 ---
|
||||
|
||||
@@ -380,7 +390,7 @@ class PFChatting:
|
||||
if observed_messages:
|
||||
context_texts = [msg.get('detailed_plain_text', '') for msg in observed_messages if msg.get('detailed_plain_text')]
|
||||
observation_context_text = "\n".join(context_texts)
|
||||
logger.debug(f"[{self.stream_id}][Planner] Context for tools: {observation_context_text[:100]}...")
|
||||
logger.debug(f"{log_prefix}[Planner] Context for tools: {observation_context_text[:100]}...")
|
||||
|
||||
if observation_context_text and self.sub_hf:
|
||||
# Ensure SubHeartflow exists for tool use context
|
||||
@@ -391,16 +401,16 @@ class PFChatting:
|
||||
)
|
||||
if tool_result.get("used_tools", False):
|
||||
tool_result_info = tool_result.get("structured_info", {})
|
||||
logger.debug(f"[{self.stream_id}][Planner] Tool results: {tool_result_info}")
|
||||
logger.debug(f"{log_prefix}[Planner] Tool results: {tool_result_info}")
|
||||
if "mid_chat_mem" in tool_result_info:
|
||||
get_mid_memory_id = [mem["content"] for mem in tool_result_info["mid_chat_mem"] if "content" in mem]
|
||||
if "send_emoji" in tool_result_info and tool_result_info["send_emoji"]:
|
||||
send_emoji_from_tools = tool_result_info["send_emoji"][0].get("content", "") # Use renamed var
|
||||
elif not self.sub_hf:
|
||||
logger.warning(f"[{self.stream_id}][Planner] Skipping tool use because SubHeartflow is not available.")
|
||||
logger.warning(f"{log_prefix}[Planner] Skipping tool use because SubHeartflow is not available.")
|
||||
|
||||
except Exception as e_tool:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Planner] Tool use failed: {e_tool}")
|
||||
logger.error(f"{log_prefix}[Planner] Tool use failed: {e_tool}")
|
||||
# Continue even if tool use fails
|
||||
# --- 结束工具使用 ---
|
||||
|
||||
@@ -413,13 +423,13 @@ class PFChatting:
|
||||
extra_info=tool_result_info,
|
||||
obs_id=get_mid_memory_id,
|
||||
)
|
||||
logger.info(f"[{self.stream_id}][Planner] SubHeartflow thought: {current_mind}")
|
||||
logger.info(f"{log_prefix}[Planner] SubHeartflow thought: {current_mind}")
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] Skipping SubHeartflow thinking because it is not available.")
|
||||
logger.warning(f"{log_prefix}[Planner] Skipping SubHeartflow thinking because it is not available.")
|
||||
current_mind = "[心流思考不可用]" # Set a default/indicator value
|
||||
|
||||
except Exception as e_shf:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Planner] SubHeartflow thinking failed: {e_shf}")
|
||||
logger.error(f"{log_prefix}[Planner] SubHeartflow thinking failed: {e_shf}")
|
||||
logger.error(traceback.format_exc())
|
||||
current_mind = "[心流思考出错]"
|
||||
|
||||
@@ -433,7 +443,7 @@ class PFChatting:
|
||||
try:
|
||||
# 构建提示 (Now includes current_mind)
|
||||
prompt = self._build_planner_prompt(observed_messages, current_mind)
|
||||
logger.trace(f"[{self.stream_id}][Planner] Prompt: {prompt}")
|
||||
logger.debug(f"{log_prefix}[Planner] Prompt: {prompt}")
|
||||
|
||||
# 准备 LLM 请求 Payload
|
||||
payload = {
|
||||
@@ -443,7 +453,7 @@ class PFChatting:
|
||||
"tool_choice": {"type": "function", "function": {"name": "decide_reply_action"}}, # 强制调用此工具
|
||||
}
|
||||
|
||||
logger.debug(f"[{self.stream_id}][Planner] 发送 Planner LLM 请求...")
|
||||
logger.debug(f"{log_prefix}[Planner] 发送 Planner LLM 请求...")
|
||||
# 调用 LLM
|
||||
response = await self.planner_llm._execute_request(
|
||||
endpoint="/chat/completions", payload=payload, prompt=prompt
|
||||
@@ -463,25 +473,25 @@ class PFChatting:
|
||||
if action == "emoji_reply":
|
||||
# Planner's decision overrides tool's emoji if action is emoji_reply
|
||||
emoji_query = arguments.get("emoji_query", send_emoji_from_tools) # Use tool emoji as default if planner asks for emoji
|
||||
logger.info(f"[{self.stream_id}][Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'")
|
||||
logger.info(f"{log_prefix}[Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'")
|
||||
except json.JSONDecodeError as json_e:
|
||||
logger.error(f"[{self.stream_id}][Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}")
|
||||
logger.error(f"{log_prefix}[Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}")
|
||||
action = "error"; reasoning = "工具参数解析失败"; llm_error = True
|
||||
except Exception as parse_e:
|
||||
logger.error(f"[{self.stream_id}][Planner] 处理工具参数时出错: {parse_e}")
|
||||
logger.error(f"{log_prefix}[Planner] 处理工具参数时出错: {parse_e}")
|
||||
action = "error"; reasoning = "处理工具参数时出错"; llm_error = True
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}")
|
||||
logger.warning(f"{log_prefix}[Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}")
|
||||
action = "error"; reasoning = "LLM未调用预期工具"; llm_error = True
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] LLM 响应中未包含有效的工具调用。Tool calls: {tool_calls}")
|
||||
logger.warning(f"{log_prefix}[Planner] LLM 响应中未包含有效的工具调用。Tool calls: {tool_calls}")
|
||||
action = "error"; reasoning = "LLM响应无工具调用"; llm_error = True
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] LLM 未返回预期的工具调用响应。Response parts: {len(response)}")
|
||||
logger.warning(f"{log_prefix}[Planner] LLM 未返回预期的工具调用响应。Response parts: {len(response)}")
|
||||
action = "error"; reasoning = "LLM响应格式错误"; llm_error = True
|
||||
|
||||
except Exception as llm_e:
|
||||
logger.error(f"[{self.stream_id}][Planner] Planner LLM 调用失败: {llm_e}")
|
||||
logger.error(f"{log_prefix}[Planner] Planner LLM 调用失败: {llm_e}")
|
||||
logger.error(traceback.format_exc())
|
||||
action = "error"; reasoning = f"LLM 调用失败: {llm_e}"; llm_error = True
|
||||
|
||||
@@ -503,7 +513,7 @@ class PFChatting:
|
||||
如果重构失败或观察为空，则创建一个占位符。
|
||||
"""
|
||||
if not self.chat_stream:
|
||||
logger.error(f"[PFChatting-{self.stream_id}] 无法获取锚点消息: ChatStream 不可用.")
|
||||
logger.error(f"{self._get_log_prefix()} 无法获取锚点消息: ChatStream 不可用.")
|
||||
return None
|
||||
|
||||
try:
|
||||
@@ -518,12 +528,12 @@ class PFChatting:
|
||||
# Basic validation
|
||||
if not (anchor_message and anchor_message.message_info and anchor_message.message_info.message_id and anchor_message.message_info.user_info):
|
||||
raise ValueError("重构的 MessageRecv 缺少必要信息.")
|
||||
logger.debug(f"[{self.stream_id}] 重构的锚点消息: ID={anchor_message.message_info.message_id}")
|
||||
logger.debug(f"{self._get_log_prefix()} 重构的锚点消息: ID={anchor_message.message_info.message_id}")
|
||||
return anchor_message
|
||||
except Exception as e_reconstruct:
|
||||
logger.warning(f"[{self.stream_id}] 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符.")
|
||||
logger.warning(f"{self._get_log_prefix()} 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符.")
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}] observed_messages 为空. 创建占位符锚点消息.")
|
||||
logger.warning(f"{self._get_log_prefix()} observed_messages 为空. 创建占位符锚点消息.")
|
||||
|
||||
# --- Create Placeholder ---
|
||||
placeholder_id = f"mid_pf_{int(time.time() * 1000)}"
|
||||
@@ -543,11 +553,11 @@ class PFChatting:
|
||||
}
|
||||
anchor_message = MessageRecv(placeholder_msg_dict)
|
||||
anchor_message.update_chat_stream(self.chat_stream) # Associate with the stream
|
||||
logger.info(f"[{self.stream_id}] Created placeholder anchor message: ID={anchor_message.message_info.message_id}")
|
||||
logger.info(f"{self._get_log_prefix()} Created placeholder anchor message: ID={anchor_message.message_info.message_id}")
|
||||
return anchor_message
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[PFChatting-{self.stream_id}] Error getting/creating anchor message: {e}")
|
||||
logger.error(f"{self._get_log_prefix()} Error getting/creating anchor message: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return None
|
||||
|
||||
@@ -556,9 +566,9 @@ class PFChatting:
|
||||
try:
|
||||
container = MessageManager().get_container(self.stream_id)
|
||||
container.remove_message(thinking_id, msg_type=MessageThinking)
|
||||
logger.debug(f"[{self.stream_id}] Cleaned up thinking message {thinking_id}.")
|
||||
logger.debug(f"{self._get_log_prefix()} Cleaned up thinking message {thinking_id}.")
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.stream_id}] Error cleaning up thinking message {thinking_id}: {e}")
|
||||
logger.error(f"{self._get_log_prefix()} Error cleaning up thinking message {thinking_id}: {e}")
|
||||
|
||||
|
||||
async def _sender(self, thinking_id: str, anchor_message: MessageRecv, replier_result: Dict[str, Any]):
|
||||
@@ -573,7 +583,7 @@ class PFChatting:
|
||||
send_emoji = replier_result.get("send_emoji", "") # Emoji determined by tools, passed via replier
|
||||
|
||||
if not response_set:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Called with empty response_set.")
|
||||
logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Called with empty response_set.")
|
||||
# Clean up thinking message before raising error
|
||||
self._cleanup_thinking_message(thinking_id)
|
||||
raise ValueError("Sender called with no response_set") # Signal failure to loop
|
||||
@@ -582,44 +592,44 @@ class PFChatting:
|
||||
send_success = False
|
||||
try:
|
||||
# --- Send the main text response ---
|
||||
logger.debug(f"[{self.stream_id}][Sender-{thinking_id}] Sending response messages...")
|
||||
logger.debug(f"{self._get_log_prefix()}[Sender-{thinking_id}] Sending response messages...")
|
||||
# This call implicitly handles replacing the MessageThinking with MessageSending/MessageSet
|
||||
first_bot_msg = await self.heartfc_chat._send_response_messages(anchor_message, response_set, thinking_id)
|
||||
|
||||
if first_bot_msg:
|
||||
send_success = True # Mark success
|
||||
logger.info(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Successfully sent reply.")
|
||||
logger.info(f"{self._get_log_prefix()}[Sender-{thinking_id}] Successfully sent reply.")
|
||||
|
||||
# --- Handle associated emoji (if determined by tools) ---
|
||||
if send_emoji:
|
||||
logger.info(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Sending associated emoji: {send_emoji}")
|
||||
logger.info(f"{self._get_log_prefix()}[Sender-{thinking_id}] Sending associated emoji: {send_emoji}")
|
||||
try:
|
||||
# Use first_bot_msg as anchor if available, otherwise fallback to original anchor
|
||||
emoji_anchor = first_bot_msg if first_bot_msg else anchor_message
|
||||
await self.heartfc_chat._handle_emoji(emoji_anchor, response_set, send_emoji)
|
||||
except Exception as e_emoji:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to send associated emoji: {e_emoji}")
|
||||
logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send associated emoji: {e_emoji}")
|
||||
# Log error but don't fail the whole send process for emoji failure
|
||||
|
||||
# --- Update relationship ---
|
||||
try:
|
||||
await self.heartfc_chat._update_relationship(anchor_message, response_set)
|
||||
logger.debug(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Updated relationship.")
|
||||
logger.debug(f"{self._get_log_prefix()}[Sender-{thinking_id}] Updated relationship.")
|
||||
except Exception as e_rel:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to update relationship: {e_rel}")
|
||||
logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to update relationship: {e_rel}")
|
||||
# Log error but don't fail the whole send process for relationship update failure
|
||||
|
||||
else:
|
||||
# Sending failed (e.g., _send_response_messages found thinking message already gone)
|
||||
send_success = False
|
||||
logger.warning(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to send reply (maybe thinking message expired or was removed?).")
|
||||
logger.warning(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send reply (maybe thinking message expired or was removed?).")
|
||||
# No need to clean up thinking message here, _send_response_messages implies it's gone or handled
|
||||
raise RuntimeError("Sending reply failed, _send_response_messages returned None.") # Signal failure
|
||||
|
||||
|
||||
except Exception as e:
|
||||
# Catch potential errors during sending or post-send actions
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Error during sending process: {e}")
|
||||
logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Error during sending process: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
# Ensure thinking message is cleaned up if send failed mid-way and wasn't handled
|
||||
if not send_success:
|
||||
@@ -633,21 +643,21 @@ class PFChatting:
|
||||
"""
|
||||
Gracefully shuts down the PFChatting instance by cancelling the active loop task.
|
||||
"""
|
||||
logger.info(f"[{self.stream_id}] Shutting down PFChatting...")
|
||||
logger.info(f"{self._get_log_prefix()} Shutting down PFChatting...")
|
||||
if self._loop_task and not self._loop_task.done():
|
||||
logger.info(f"[{self.stream_id}] Cancelling active PF loop task.")
|
||||
logger.info(f"{self._get_log_prefix()} Cancelling active PF loop task.")
|
||||
self._loop_task.cancel()
|
||||
try:
|
||||
# Wait briefly for the task to acknowledge cancellation
|
||||
await asyncio.wait_for(self._loop_task, timeout=5.0)
|
||||
except asyncio.CancelledError:
|
||||
logger.info(f"[{self.stream_id}] PF loop task cancelled successfully.")
|
||||
logger.info(f"{self._get_log_prefix()} PF loop task cancelled successfully.")
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(f"[{self.stream_id}] Timeout waiting for PF loop task cancellation.")
|
||||
logger.warning(f"{self._get_log_prefix()} Timeout waiting for PF loop task cancellation.")
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.stream_id}] Error during loop task cancellation: {e}")
|
||||
logger.error(f"{self._get_log_prefix()} Error during loop task cancellation: {e}")
|
||||
else:
|
||||
logger.info(f"[{self.stream_id}] No active PF loop task found to cancel.")
|
||||
logger.info(f"{self._get_log_prefix()} No active PF loop task found to cancel.")
|
||||
|
||||
# Ensure loop state is reset even if task wasn't running or cancellation failed
|
||||
self._loop_active = False
|
||||
@@ -655,15 +665,14 @@ class PFChatting:
|
||||
|
||||
# Double-check lock state (should be released by loop completion/cancellation handler)
|
||||
if self._processing_lock.locked():
|
||||
logger.warning(f"[{self.stream_id}] Releasing processing lock during shutdown.")
|
||||
logger.warning(f"{self._get_log_prefix()} Releasing processing lock during shutdown.")
|
||||
self._processing_lock.release()
|
||||
|
||||
logger.info(f"[{self.stream_id}] PFChatting shutdown complete.")
|
||||
logger.info(f"{self._get_log_prefix()} PFChatting shutdown complete.")
|
||||
|
||||
def _build_planner_prompt(self, observed_messages: List[dict], current_mind: Optional[str]) -> str:
|
||||
"""构建 Planner LLM 的提示词 (现在包含 current_mind)"""
|
||||
prompt = "你是一个聊天机器人助手，正在决定是否以及如何回应当前的聊天。\n"
|
||||
prompt += f"你的名字是 {global_config.BOT_NICKNAME}。\n"
|
||||
prompt = f"你的名字是 {global_config.BOT_NICKNAME}。是一个女大二学生，正在QQ聊天，正在决定是否以及如何回应当前的聊天。\n"
|
||||
|
||||
# Add current mind state if available
|
||||
if current_mind:
|
||||
@@ -684,6 +693,7 @@ class PFChatting:
|
||||
prompt += "1. 如果聊天内容无聊、与你无关、或者你的内部想法认为不适合回复，选择 'no_reply'。\n"
|
||||
prompt += "2. 如果聊天内容值得回应，且适合用文字表达（参考你的内部想法），选择 'text_reply'。\n"
|
||||
prompt += "3. 如果聊天内容或你的内部想法适合用一个表情来回应，选择 'emoji_reply' 并提供表情主题 'emoji_query'。\n"
|
||||
prompt += "4. 如果你已经回复过消息，也没有人又回复你，选择'no_reply'。"
|
||||
prompt += "必须调用 'decide_reply_action' 工具并提供 'action' 和 'reasoning'。"
|
||||
|
||||
return prompt
|
||||
@@ -695,12 +705,13 @@ class PFChatting:
|
||||
被 _run_pf_loop 直接调用和 await。
|
||||
Returns dict with 'response_set' and 'send_emoji' or None on failure.
|
||||
"""
|
||||
log_prefix = self._get_log_prefix()
|
||||
response_set: Optional[List[str]] = None
|
||||
try:
|
||||
# --- Tool Use and SubHF Thinking are now in _planner ---
|
||||
|
||||
# --- Generate Response with LLM ---
|
||||
logger.debug(f"[{self.stream_id}][Replier-{thinking_id}] Calling LLM to generate response...")
|
||||
logger.debug(f"{log_prefix}[Replier-{thinking_id}] Calling LLM to generate response...")
|
||||
# 注意：实际的生成调用是在 self.heartfc_chat.gpt.generate_response 中
|
||||
response_set = await self.heartfc_chat.gpt.generate_response(
|
||||
anchor_message,
|
||||
@@ -710,17 +721,17 @@ class PFChatting:
|
||||
)
|
||||
|
||||
if not response_set:
|
||||
logger.warning(f"[{self.stream_id}][Replier-{thinking_id}] LLM生成了一个空回复集。")
|
||||
logger.warning(f"{log_prefix}[Replier-{thinking_id}] LLM生成了一个空回复集。")
|
||||
return None # Indicate failure
|
||||
|
||||
# --- 准备并返回结果 ---
|
||||
logger.info(f"[{self.stream_id}][Replier-{thinking_id}] 成功生成了回复集: {' '.join(response_set)[:50]}...")
|
||||
logger.info(f"{log_prefix}[Replier-{thinking_id}] 成功生成了回复集: {' '.join(response_set)[:50]}...")
|
||||
return {
|
||||
"response_set": response_set,
|
||||
"send_emoji": send_emoji, # Pass through the emoji determined earlier (usually by tools)
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Replier-{thinking_id}] Unexpected error in replier_work: {e}")
|
||||
logger.error(f"{log_prefix}[Replier-{thinking_id}] Unexpected error in replier_work: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return None # Indicate failure
|
||||
Reference in New Issue
Block a user