import time import asyncio import datetime import traceback from typing import Dict, Any, List, TYPE_CHECKING from dateutil import tz from src.common.logger_manager import get_logger from src.config.config import global_config from .pfc_types import ConversationState # 需要导入 ConversationState from . import actions # 需要导入 actions 模块 if TYPE_CHECKING: from .conversation import Conversation logger = get_logger("pfc_loop") # 时区配置 (从 conversation.py 移过来，或者考虑放到更全局的配置模块) configured_tz = getattr(global_config, "TIME_ZONE", "Asia/Shanghai") TIME_ZONE = tz.gettz(configured_tz) if TIME_ZONE is None: logger.error(f"配置的时区 '{configured_tz}' 无效，将使用默认时区 'Asia/Shanghai'") TIME_ZONE = tz.gettz("Asia/Shanghai") async def run_conversation_loop(conversation_instance: "Conversation"): """ 核心的规划与行动循环 (PFC Loop)。 之前是 Conversation 类中的 _plan_and_action_loop 方法。 """ logger.debug(f"[私聊][{conversation_instance.private_name}] 进入 run_conversation_loop 循环。") if not conversation_instance._initialized: logger.error(f"[私聊][{conversation_instance.private_name}] 尝试在未初始化状态下运行规划循环，退出。") return force_reflect_and_act = False # 用于强制使用反思 prompt 的标志 while conversation_instance.should_continue: loop_iter_start_time = time.time() logger.debug(f"[私聊][{conversation_instance.private_name}] 开始新一轮循环迭代 ({loop_iter_start_time:.2f})") # 更新当前时间 try: global TIME_ZONE # 引用全局 TIME_ZONE if TIME_ZONE is None: # 如果还未加载成功 configured_tz_loop = getattr(global_config, "TIME_ZONE", "Asia/Shanghai") TIME_ZONE = tz.gettz(configured_tz_loop) if TIME_ZONE is None: logger.error(f"循环中: 配置的时区 '{configured_tz_loop}' 无效，将使用 'Asia/Shanghai'") TIME_ZONE = tz.gettz("Asia/Shanghai") current_time_dt = datetime.datetime.now(TIME_ZONE) if conversation_instance.observation_info: time_str = current_time_dt.strftime("%Y-%m-%d %H:%M:%S %Z%z") conversation_instance.observation_info.current_time_str = time_str logger.debug(f"[私聊][{conversation_instance.private_name}] 更新 ObservationInfo 当前时间: {time_str}") else: logger.warning( f"[私聊][{conversation_instance.private_name}] ObservationInfo 未初始化，无法更新当前时间。" ) except Exception as time_update_err: logger.error( f"[私聊][{conversation_instance.private_name}] 更新 ObservationInfo 当前时间时出错: {time_update_err}" ) # 处理忽略状态 if ( conversation_instance.ignore_until_timestamp and loop_iter_start_time < conversation_instance.ignore_until_timestamp ): if conversation_instance.idle_chat and conversation_instance.idle_chat._running: logger.debug(f"[私聊][{conversation_instance.private_name}] 对话被暂时忽略，暂停对该用户的主动聊天") sleep_duration = min(30, conversation_instance.ignore_until_timestamp - loop_iter_start_time) await asyncio.sleep(sleep_duration) continue elif ( conversation_instance.ignore_until_timestamp and loop_iter_start_time >= conversation_instance.ignore_until_timestamp ): logger.info( f"[私聊][{conversation_instance.private_name}] 忽略时间已到 {conversation_instance.stream_id}，准备结束对话。" ) conversation_instance.ignore_until_timestamp = None await conversation_instance.stop() continue else: pass # 核心规划与行动逻辑 try: # 更新关系和情绪文本 (在每次循环开始时进行) if conversation_instance.conversation_info and conversation_instance._initialized: if ( conversation_instance.conversation_info.person_id and conversation_instance.relationship_translator and conversation_instance.person_info_mng ): try: numeric_relationship_value = await conversation_instance.person_info_mng.get_value( conversation_instance.conversation_info.person_id, "relationship_value" ) if not isinstance(numeric_relationship_value, (int, float)): from bson.decimal128 import Decimal128 if isinstance(numeric_relationship_value, Decimal128): numeric_relationship_value = float(numeric_relationship_value.to_decimal()) else: numeric_relationship_value = 0.0 conversation_instance.conversation_info.relationship_text = ( await conversation_instance.relationship_translator.translate_relationship_value_to_text( numeric_relationship_value ) ) except Exception as e_rel: logger.error(f"[私聊][{conversation_instance.private_name}] (Loop) 更新关系文本时出错: {e_rel}") conversation_instance.conversation_info.relationship_text = "你们的关系是：普通。" if conversation_instance.mood_mng: conversation_instance.conversation_info.current_emotion_text = ( conversation_instance.mood_mng.get_prompt() ) # 检查核心组件 if not all( [ conversation_instance.action_planner, conversation_instance.observation_info, conversation_instance.conversation_info, ] ): logger.error( f"[私聊][{conversation_instance.private_name}] 核心组件未初始化，无法继续规划循环。将等待5秒后重试..." ) await asyncio.sleep(5) continue # 规划 planning_start_time = time.time() # 这是 ActionPlanner.plan 开始的时间 logger.debug( f"[私聊][{conversation_instance.private_name}] --- (Loop) 开始规划 ({planning_start_time:.2f}) ---" ) if conversation_instance.conversation_info: conversation_instance.conversation_info.other_new_messages_during_planning_count = 0 action, reason = await conversation_instance.action_planner.plan( conversation_instance.observation_info, conversation_instance.conversation_info, conversation_instance.conversation_info.last_successful_reply_action if conversation_instance.conversation_info else None, use_reflect_prompt=force_reflect_and_act, ) force_reflect_and_act = False # 重置反思标志 logger.debug( f"[私聊][{conversation_instance.private_name}] (Loop) ActionPlanner.plan 完成，初步规划动作: {action}" ) # 检查在 ActionPlanner.plan 期间是否有中断 (这部分逻辑保持不变) # 注意：这里的 planning_start_time 是 action_planner.plan 开始的时间 current_unprocessed_messages_after_plan = getattr(conversation_instance.observation_info, "unprocessed_messages", []) new_messages_during_action_planning: List[Dict[str, Any]] = [] other_new_messages_during_action_planning: List[Dict[str, Any]] = [] for msg_ap in current_unprocessed_messages_after_plan: msg_time_ap = msg_ap.get("time") sender_id_info_ap = msg_ap.get("user_info", {}) sender_id_ap = str(sender_id_info_ap.get("user_id")) if sender_id_info_ap else None if msg_time_ap and msg_time_ap >= planning_start_time: # 使用 action_planner.plan 的开始时间 new_messages_during_action_planning.append(msg_ap) if sender_id_ap != conversation_instance.bot_qq_str: other_new_messages_during_action_planning.append(msg_ap) new_msg_count_action_planning = len(new_messages_during_action_planning) other_new_msg_count_action_planning = len(other_new_messages_during_action_planning) # 更新因 ActionPlanner.plan 期间新消息而产生的计数和状态 (这部分逻辑也基本保持) if conversation_instance.conversation_info and other_new_msg_count_action_planning > 0: # (如果需要，这里可以更新实例消息计数、关系、情绪等，但通常这些在消息实际处理后更新更合适) # conversation_instance.conversation_info.current_instance_message_count += other_new_msg_count_action_planning pass should_interrupt_action_planning: bool = False interrupt_reason_action_planning: str = "" if action in ["wait", "listening"] and new_msg_count_action_planning > 0: should_interrupt_action_planning = True interrupt_reason_action_planning = f"规划 {action} 期间收到 {new_msg_count_action_planning} 条新消息" elif other_new_msg_count_action_planning > 2: should_interrupt_action_planning = True interrupt_reason_action_planning = f"规划 {action} 期间收到 {other_new_msg_count_action_planning} 条来自他人的新消息" if should_interrupt_action_planning: logger.info( f"[私聊][{conversation_instance.private_name}] (Loop) 中断 '{action}' (在ActionPlanner.plan后)，原因: {interrupt_reason_action_planning}。重新规划..." ) # 记录中断的动作 cancel_record_ap = { "action": action, "plan_reason": reason, "status": "cancelled_due_to_new_messages_during_action_plan", "time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "final_reason": interrupt_reason_action_planning, } if conversation_instance.conversation_info: if not hasattr(conversation_instance.conversation_info, "done_action") or conversation_instance.conversation_info.done_action is None: conversation_instance.conversation_info.done_action = [] conversation_instance.conversation_info.done_action.append(cancel_record_ap) conversation_instance.conversation_info.last_successful_reply_action = None conversation_instance.state = ConversationState.ANALYZING await asyncio.sleep(0.1) # 短暂休眠再开始下一轮 continue # 跳过本轮的 actions.handle_action，直接进入下一轮循环重新规划 # 如果 ActionPlanner.plan 后没有中断，则准备执行动作 # 【核心修改点】对于需要LLM生成回复的动作，进行特殊处理 if action in ["direct_reply", "send_new_message"]: logger.debug( f"[私聊][{conversation_instance.private_name}] (Loop) 动作 '{action}' 需要LLM生成，进入监控执行模式..." ) llm_call_start_time = time.time() # LLM实际调用开始的时间 # 将 conversation_info 中用于 action_planner 中断的计数值传递或更新，以供 handle_action 使用 # actions.handle_action 内部可能也需要知道这些信息 if conversation_instance.conversation_info: # 注意：这个字段可能在 actions.handle_action 中被使用和重置 conversation_instance.conversation_info.other_new_messages_during_planning_count = other_new_msg_count_action_planning llm_action_task = asyncio.create_task( actions.handle_action( conversation_instance, action, reason, conversation_instance.observation_info, conversation_instance.conversation_info, ) ) interrupted_during_llm = False while not llm_action_task.done(): try: await asyncio.wait_for(llm_action_task, timeout=5) # 每1.5秒检查一次 except asyncio.TimeoutError: # LLM任务仍在运行，检查新消息 current_unprocessed_messages_during_llm = getattr(conversation_instance.observation_info, "unprocessed_messages", []) other_new_messages_this_check: List[Dict[str, Any]] = [] # 打印调试信息，与用户提供的一致 # print(111111111111111111111111) # 和用户调试信息一致 for msg_llm in current_unprocessed_messages_during_llm: # print(msg_llm) # 和用户调试信息一致 msg_time_llm = msg_llm.get("time") sender_id_info_llm = msg_llm.get("user_info", {}) sender_id_llm = str(sender_id_info_llm.get("user_id")) if sender_id_info_llm else None if msg_time_llm and msg_time_llm >= llm_call_start_time: # 注意这里用 llm_call_start_time if sender_id_llm != conversation_instance.bot_qq_str: other_new_messages_this_check.append(msg_llm) # print("添加成功！\n") # 和用户调试信息一致 # print(other_new_messages_this_check) # 和用户调试信息一致 # print(len(other_new_messages_this_check)) # 和用户调试信息一致 if len(other_new_messages_this_check) > 2: # 用户的重新规划条件 logger.info( f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作 '{action}' 执行期间收到 {len(other_new_messages_this_check)} 条来自他人的新消息，中断并重新规划。" ) llm_action_task.cancel() interrupted_during_llm = True # 记录中断的动作到 history cancel_record_llm = { "action": action, "plan_reason": reason, # 使用规划时得到的 reason "status": "cancelled_due_to_new_messages_during_llm", "time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "final_reason": f"LLM处理期间收到{len(other_new_messages_this_check)}条新用户消息", } if conversation_instance.conversation_info: if not hasattr(conversation_instance.conversation_info, "done_action") or conversation_instance.conversation_info.done_action is None: conversation_instance.conversation_info.done_action = [] conversation_instance.conversation_info.done_action.append(cancel_record_llm) conversation_instance.conversation_info.last_successful_reply_action = None # 因为没有成功回复 # 可以在这里也更新 current_instance_message_count 和相关情绪/关系，如果这些新消息确实是用户的 conversation_instance.conversation_info.current_instance_message_count += len(other_new_messages_this_check) # (此处可以添加调用关系/情绪更新的逻辑，如果需要的话) conversation_instance.state = ConversationState.ANALYZING # 准备重新规划 force_reflect_and_act = True # 下一轮强制使用初始/反思型规划 break # 跳出监控循环 except asyncio.CancelledError: logger.info(f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作 '{action}' 任务被取消。") interrupted_during_llm = True # 标记为中断 # conversation_instance.state 和 force_reflect_and_act 已在上面处理 cancellation 的地方设置 break # 跳出监控循环 except Exception as e_llm_task: logger.error(f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作 '{action}' 任务执行时出错: {e_llm_task}") logger.error(traceback.format_exc()) interrupted_during_llm = True # 标记为中断，按错误处理 conversation_instance.state = ConversationState.ERROR # 记录错误的动作到 history error_record_llm = { "action": action, "plan_reason": reason, "status": "error_during_llm_action", "time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "final_reason": f"LLM动作执行时发生错误: {str(e_llm_task)}", } if conversation_instance.conversation_info: if not hasattr(conversation_instance.conversation_info, "done_action") or conversation_instance.conversation_info.done_action is None: conversation_instance.conversation_info.done_action = [] conversation_instance.conversation_info.done_action.append(error_record_llm) conversation_instance.conversation_info.last_successful_reply_action = None break # 跳出监控循环 if interrupted_during_llm: await asyncio.sleep(0.1) # 短暂休眠 continue # 如果LLM任务被中断，则直接进入下一轮PFC主循环以重新规划 # 如果LLM任务正常完成 (没有被中断或出错跳出) # actions.handle_action 内部会处理其结果和状态更新 logger.debug(f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作 '{action}' 任务正常完成。") else: # 对于非LLM生成类的动作，直接执行 logger.debug( f"[私聊][{conversation_instance.private_name}] (Loop) 执行非LLM类动作 '{action}'..." ) if conversation_instance.conversation_info: # 确保传递最新的计数值 conversation_instance.conversation_info.other_new_messages_during_planning_count = other_new_msg_count_action_planning await actions.handle_action( conversation_instance, action, reason, conversation_instance.observation_info, conversation_instance.conversation_info, ) logger.debug(f"[私聊][{conversation_instance.private_name}] (Loop) 非LLM类动作 '{action}' 完成。") # 检查是否需要反思 (这部分逻辑保持不变) last_action_record = {} if conversation_instance.conversation_info and conversation_instance.conversation_info.done_action: last_action_record = conversation_instance.conversation_info.done_action[-1] if ( last_action_record.get("action") == "send_new_message" and last_action_record.get("status") == "done_no_reply" ): logger.info(f"[私聊][{conversation_instance.private_name}] (Loop) 检测到需反思，设置标志。") force_reflect_and_act = True # 检查结束条件 (这部分逻辑保持不变) goal_ended: bool = False if ( conversation_instance.conversation_info and hasattr(conversation_instance.conversation_info, "goal_list") and conversation_instance.conversation_info.goal_list ): last_goal_item = conversation_instance.conversation_info.goal_list[-1] current_goal = ( last_goal_item.get("goal") if isinstance(last_goal_item, dict) else (last_goal_item if isinstance(last_goal_item, str) else None) ) if current_goal == "结束对话": goal_ended = True last_action_record_for_end_check = {} if conversation_instance.conversation_info and conversation_instance.conversation_info.done_action: last_action_record_for_end_check = conversation_instance.conversation_info.done_action[-1] action_ended: bool = ( last_action_record_for_end_check.get("action") in ["end_conversation", "say_goodbye"] and last_action_record_for_end_check.get("status") == "done" ) if goal_ended or action_ended: logger.info(f"[私聊][{conversation_instance.private_name}] (Loop) 检测到结束条件，停止循环。") await conversation_instance.stop() continue except asyncio.CancelledError: logger.info(f"[私聊][{conversation_instance.private_name}] (Loop) PFC 主循环任务被取消。") await conversation_instance.stop() break except Exception as loop_err: logger.error(f"[私聊][{conversation_instance.private_name}] (Loop) PFC 主循环出错: {loop_err}") logger.error(f"[私聊][{conversation_instance.private_name}] (Loop) {traceback.format_exc()}") conversation_instance.state = ConversationState.ERROR await asyncio.sleep(5) # 出错后等待一段时间 # 控制循环频率 loop_duration = time.time() - loop_iter_start_time min_loop_interval = 0.1 # 最小循环间隔，避免过于频繁的空转 logger.debug(f"[私聊][{conversation_instance.private_name}] (Loop) 循环迭代耗时: {loop_duration:.3f} 秒。") if loop_duration < min_loop_interval: await asyncio.sleep(min_loop_interval - loop_duration) logger.info( f"[私聊][{conversation_instance.private_name}] (Loop) PFC 循环已退出 for stream_id: {conversation_instance.stream_id}" )