mirror of https://github.com/Mai-with-u/MaiBot.git
457 lines
25 KiB
Python
457 lines
25 KiB
Python
import time
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import asyncio
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import datetime
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import traceback
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from typing import Dict, Any, List, TYPE_CHECKING
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from dateutil import tz
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from src.common.logger_manager import get_logger
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from src.config.config import global_config
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from .pfc_types import ConversationState # 需要导入 ConversationState
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from . import actions # 需要导入 actions 模块
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if TYPE_CHECKING:
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from .conversation import Conversation
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logger = get_logger("pfc_loop")
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# 时区配置
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configured_tz = getattr(global_config, "TIME_ZONE", "Asia/Shanghai")
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TIME_ZONE = tz.gettz(configured_tz)
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if TIME_ZONE is None:
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logger.error(f"配置的时区 '{configured_tz}' 无效，将使用默认时区 'Asia/Shanghai'")
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TIME_ZONE = tz.gettz("Asia/Shanghai")
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MAX_CONSECUTIVE_LLM_ACTION_FAILURES = 3 # 可配置的最大LLM连续失败次数
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async def run_conversation_loop(conversation_instance: "Conversation"):
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"""
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核心的规划与行动循环 (PFC Loop)。
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"""
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logger.debug(f"[私聊][{conversation_instance.private_name}] 进入 run_conversation_loop 循环。")
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if not conversation_instance._initialized:
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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。")
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return
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_force_reflect_and_act_next_iter = False
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while conversation_instance.should_continue:
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loop_iter_start_time = time.time()
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current_force_reflect_and_act = _force_reflect_and_act_next_iter
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_force_reflect_and_act_next_iter = False
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] 开始新一轮循环迭代 ({loop_iter_start_time:.2f}), force_reflect_next_iter: {current_force_reflect_and_act}, consecutive_llm_failures: {conversation_instance.consecutive_llm_action_failures}"
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)
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try:
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global TIME_ZONE
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if TIME_ZONE is None:
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configured_tz_loop = getattr(global_config, "TIME_ZONE", "Asia/Shanghai")
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TIME_ZONE = tz.gettz(configured_tz_loop)
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if TIME_ZONE is None:
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logger.error(f"循环中: 配置的时区 '{configured_tz_loop}' 无效，将使用 'Asia/Shanghai'")
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TIME_ZONE = tz.gettz("Asia/Shanghai")
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current_time_dt = datetime.datetime.now(TIME_ZONE)
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if conversation_instance.observation_info:
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time_str = current_time_dt.strftime("%Y-%m-%d %H:%M:%S %Z%z")
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conversation_instance.observation_info.current_time_str = time_str
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else:
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logger.warning(
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f"[私聊][{conversation_instance.private_name}] ObservationInfo 未初始化，无法更新当前时间。"
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)
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except Exception as time_update_err:
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logger.error(
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f"[私聊][{conversation_instance.private_name}] 更新 ObservationInfo 当前时间时出错: {time_update_err}"
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)
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if (
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conversation_instance.ignore_until_timestamp
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and loop_iter_start_time < conversation_instance.ignore_until_timestamp
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):
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if conversation_instance.idle_chat and conversation_instance.idle_chat._running:
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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")
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sleep_duration = min(30, conversation_instance.ignore_until_timestamp - loop_iter_start_time)
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await asyncio.sleep(sleep_duration)
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continue
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elif (
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conversation_instance.ignore_until_timestamp
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and loop_iter_start_time >= conversation_instance.ignore_until_timestamp
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):
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logger.info(
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f"[私聊][{conversation_instance.private_name}] 忽略时间已到 {conversation_instance.stream_id}，准备结束对话。"
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)
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conversation_instance.ignore_until_timestamp = None
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await conversation_instance.stop()
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continue
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else:
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pass
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try:
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if conversation_instance.conversation_info and conversation_instance._initialized:
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if (
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conversation_instance.conversation_info.person_id
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and conversation_instance.relationship_translator
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and conversation_instance.person_info_mng
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):
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try:
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numeric_relationship_value = await conversation_instance.person_info_mng.get_value(
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conversation_instance.conversation_info.person_id, "relationship_value"
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)
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if not isinstance(numeric_relationship_value, (int, float)):
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from bson.decimal128 import Decimal128
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if isinstance(numeric_relationship_value, Decimal128):
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numeric_relationship_value = float(numeric_relationship_value.to_decimal())
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else:
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numeric_relationship_value = 0.0
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conversation_instance.conversation_info.relationship_text = (
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await conversation_instance.relationship_translator.translate_relationship_value_to_text(
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numeric_relationship_value
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)
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)
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except Exception as e_rel:
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logger.error(f"[私聊][{conversation_instance.private_name}] (Loop) 更新关系文本时出错: {e_rel}")
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conversation_instance.conversation_info.relationship_text = "你们的关系是：普通。"
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if conversation_instance.mood_mng:
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conversation_instance.conversation_info.current_emotion_text = (
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conversation_instance.mood_mng.get_mood_prompt()
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)
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if not all(
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[
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conversation_instance.action_planner,
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conversation_instance.observation_info,
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conversation_instance.conversation_info,
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]
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):
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logger.error(
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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..."
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)
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await asyncio.sleep(5)
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continue
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planning_start_time = time.time()
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] --- (Loop) 开始规划 ({planning_start_time:.2f}) ---"
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)
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if conversation_instance.conversation_info:
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conversation_instance.conversation_info.other_new_messages_during_planning_count = 0
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action, reason = await conversation_instance.action_planner.plan(
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conversation_instance.observation_info,
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conversation_instance.conversation_info,
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conversation_instance.conversation_info.last_successful_reply_action
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if conversation_instance.conversation_info
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else None,
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use_reflect_prompt=current_force_reflect_and_act,
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)
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] (Loop) ActionPlanner.plan 完成，初步规划动作: {action}"
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)
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current_unprocessed_messages_after_plan = getattr(
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conversation_instance.observation_info, "unprocessed_messages", []
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)
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new_messages_during_action_planning: List[Dict[str, Any]] = []
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other_new_messages_during_action_planning: List[Dict[str, Any]] = []
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for msg_ap in current_unprocessed_messages_after_plan:
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msg_time_ap = msg_ap.get("time")
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sender_id_info_ap = msg_ap.get("user_info", {})
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sender_id_ap = str(sender_id_info_ap.get("user_id")) if sender_id_info_ap else None
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if msg_time_ap and msg_time_ap >= planning_start_time:
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new_messages_during_action_planning.append(msg_ap)
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if sender_id_ap != conversation_instance.bot_qq_str:
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other_new_messages_during_action_planning.append(msg_ap)
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new_msg_count_action_planning = len(new_messages_during_action_planning)
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other_new_msg_count_action_planning = len(other_new_messages_during_action_planning)
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if conversation_instance.conversation_info and other_new_msg_count_action_planning > 0:
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pass
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should_interrupt_action_planning: bool = False
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interrupt_reason_action_planning: str = ""
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if action in ["wait", "listening"] and new_msg_count_action_planning > 0:
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should_interrupt_action_planning = True
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interrupt_reason_action_planning = f"规划 {action} 期间收到 {new_msg_count_action_planning} 条新消息"
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elif other_new_msg_count_action_planning > 2:
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should_interrupt_action_planning = True
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interrupt_reason_action_planning = (
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f"规划 {action} 期间收到 {other_new_msg_count_action_planning} 条来自他人的新消息"
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)
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if should_interrupt_action_planning:
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logger.info(
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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..."
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)
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cancel_record_ap = {
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"action": action,
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"plan_reason": reason,
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"status": "cancelled_due_to_new_messages_during_action_plan",
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"time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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"final_reason": interrupt_reason_action_planning,
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}
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if conversation_instance.conversation_info:
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if (
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not hasattr(conversation_instance.conversation_info, "done_action")
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or conversation_instance.conversation_info.done_action is None
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):
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conversation_instance.conversation_info.done_action = []
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conversation_instance.conversation_info.done_action.append(cancel_record_ap)
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conversation_instance.conversation_info.last_successful_reply_action = None
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conversation_instance.state = ConversationState.ANALYZING
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await asyncio.sleep(0.1)
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continue
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# --- LLM Action Handling with Shield and Failure Count ---
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if action in ["direct_reply", "send_new_message"]:
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] (Loop) 动作 '{action}' 需要LLM生成，进入监控执行模式..."
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)
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llm_call_start_time = time.time()
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if conversation_instance.conversation_info:
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conversation_instance.conversation_info.other_new_messages_during_planning_count = (
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other_new_msg_count_action_planning
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)
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llm_action_task = asyncio.create_task(
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actions.handle_action(
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conversation_instance,
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action,
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reason,
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conversation_instance.observation_info,
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conversation_instance.conversation_info,
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)
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)
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interrupted_by_new_messages = False
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llm_action_completed_successfully = False
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action_outcome_processed = False # Flag to ensure we process outcome only once
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while not llm_action_task.done() and not action_outcome_processed:
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try:
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# Shield the task so wait_for timeout doesn't cancel it directly
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await asyncio.wait_for(asyncio.shield(llm_action_task), timeout=1.5)
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# If wait_for completes without timeout, the shielded task is done (or errored/cancelled by itself)
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action_outcome_processed = True # Outcome will be processed outside this loop
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except asyncio.TimeoutError:
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# Shielded task didn't finish in 1.5s. This is our chance to check messages.
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current_time_for_check = time.time()
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM Monitor polling. llm_call_start_time: {llm_call_start_time:.2f}, current_check_time: {current_time_for_check:.2f}. Task still running, checking for new messages."
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)
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current_unprocessed_messages_during_llm = getattr(
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conversation_instance.observation_info, "unprocessed_messages", []
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)
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other_new_messages_this_check: List[Dict[str, Any]] = []
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] (Loop) Checking unprocessed_messages (count: {len(current_unprocessed_messages_during_llm)}):"
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)
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for msg_llm in current_unprocessed_messages_during_llm:
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msg_time_llm = msg_llm.get("time")
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sender_id_info_llm = msg_llm.get("user_info", {})
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sender_id_llm = str(sender_id_info_llm.get("user_id")) if sender_id_info_llm else None
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is_new_enough = msg_time_llm and msg_time_llm >= llm_call_start_time
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is_other_sender = sender_id_llm != conversation_instance.bot_qq_str
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time_str_for_log = f"{msg_time_llm:.2f}" if msg_time_llm is not None else "N/A"
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logger.debug(
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f" - Msg ID: {msg_llm.get('message_id')}, Time: {time_str_for_log}, Sender: {sender_id_llm}. New enough? {is_new_enough}. Other sender? {is_other_sender}."
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)
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if is_new_enough and is_other_sender:
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other_new_messages_this_check.append(msg_llm)
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] (Loop) Found {len(other_new_messages_this_check)} 'other_new_messages_this_check'."
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)
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if len(other_new_messages_this_check) > global_config.pfc_message_buffer_size:
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logger.info(
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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，将取消LLM任务。"
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)
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if not llm_action_task.done(): # Check again before cancelling
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llm_action_task.cancel() # Now we explicitly cancel the original task
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interrupted_by_new_messages = True
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action_outcome_processed = True # We've made a decision, exit monitoring
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# else: continue polling if not enough new messages
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# Shield ensures CancelledError from llm_action_task itself is caught by the outer try/except
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# After the monitoring loop (either task finished, or we decided to cancel it)
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# Await the task properly to get its result or handle its exception/cancellation
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action_final_status_in_history = "unknown"
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try:
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await llm_action_task # This will re-raise CancelledError if we cancelled it, or other exceptions
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# If no exception, it means the task completed.
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# actions.handle_action updates done_action, so we check its status.
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if conversation_instance.conversation_info and conversation_instance.conversation_info.done_action:
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# Check if done_action is not empty
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if conversation_instance.conversation_info.done_action:
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action_final_status_in_history = conversation_instance.conversation_info.done_action[
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-1
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].get("status", "unknown")
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if action_final_status_in_history in ["done", "done_no_reply"]:
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作 '{action}' 任务最终成功完成 (status: {action_final_status_in_history})。"
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)
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conversation_instance.consecutive_llm_action_failures = 0
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llm_action_completed_successfully = True
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else:
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logger.warning(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作 '{action}' 任务完成但未成功 (status: {action_final_status_in_history})。"
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)
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if not interrupted_by_new_messages:
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conversation_instance.consecutive_llm_action_failures += 1
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except asyncio.CancelledError:
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logger.info(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作 '{action}' 任务最终确认被取消。"
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)
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if not interrupted_by_new_messages:
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conversation_instance.consecutive_llm_action_failures += 1
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logger.warning(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM任务因外部原因取消，连续失败次数: {conversation_instance.consecutive_llm_action_failures}"
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)
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else: # interrupted_by_new_messages is True
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logger.info(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM任务因新消息被内部逻辑取消，不计为LLM失败。"
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)
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except Exception as e_llm_final:
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logger.error(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作 '{action}' 任务执行时发生最终错误: {e_llm_final}"
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)
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logger.error(traceback.format_exc())
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conversation_instance.state = ConversationState.ERROR
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if not interrupted_by_new_messages:
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conversation_instance.consecutive_llm_action_failures += 1
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# --- Post LLM Action Task Handling ---
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if not llm_action_completed_successfully:
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if conversation_instance.consecutive_llm_action_failures >= MAX_CONSECUTIVE_LLM_ACTION_FAILURES:
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logger.error(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM相关动作连续失败或被取消 {conversation_instance.consecutive_llm_action_failures} 次。将强制等待并重置计数器。"
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)
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action = "wait" # Force action to wait
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reason = f"LLM连续失败{conversation_instance.consecutive_llm_action_failures}次，强制等待"
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conversation_instance.consecutive_llm_action_failures = 0
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if conversation_instance.conversation_info:
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conversation_instance.conversation_info.last_successful_reply_action = None
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logger.info(f"[私聊][{conversation_instance.private_name}] (Loop) 执行强制等待动作...")
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await actions.handle_action(
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conversation_instance,
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action,
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reason,
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conversation_instance.observation_info,
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conversation_instance.conversation_info,
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)
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_force_reflect_and_act_next_iter = False
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conversation_instance.state = ConversationState.ANALYZING
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await asyncio.sleep(1)
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continue
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else:
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conversation_instance.state = ConversationState.ANALYZING
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logger.info(
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f"[私聊][{conversation_instance.private_name}] (Loop) LLM动作中断/失败，准备重新规划。Interrupted by new msgs: {interrupted_by_new_messages}, Consecutive LLM Failures: {conversation_instance.consecutive_llm_action_failures}"
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)
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await asyncio.sleep(0.1)
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continue
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else:
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logger.debug(f"[私聊][{conversation_instance.private_name}] (Loop) 执行非LLM类动作 '{action}'...")
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conversation_instance.consecutive_llm_action_failures = 0
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logger.debug(
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f"[私聊][{conversation_instance.private_name}] (Loop) 重置 consecutive_llm_action_failures due to non-LLM action."
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)
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if conversation_instance.conversation_info:
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conversation_instance.conversation_info.other_new_messages_during_planning_count = (
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other_new_msg_count_action_planning
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)
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await actions.handle_action(
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conversation_instance,
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action,
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reason,
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conversation_instance.observation_info,
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conversation_instance.conversation_info,
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)
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logger.debug(f"[私聊][{conversation_instance.private_name}] (Loop) 非LLM类动作 '{action}' 完成。")
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last_action_record = {}
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if conversation_instance.conversation_info and conversation_instance.conversation_info.done_action:
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if 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 ReplyGenerator 决定不发送消息，下一轮将强制反思。"
|
||
)
|
||
_force_reflect_and_act_next_iter = True
|
||
|
||
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:
|
||
if 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)
|
||
|
||
loop_duration = time.time() - loop_iter_start_time
|
||
min_loop_interval = 0.1
|
||
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}"
|
||
)
|