""" 重构后的聊天上下文管理器 提供统一、稳定的聊天上下文管理功能 每个 context_manager 实例只管理一个 stream 的上下文 """ import asyncio import time from typing import Any from src.chat.energy_system import energy_manager from src.common.data_models.database_data_model import DatabaseMessages from src.common.data_models.message_manager_data_model import StreamContext from src.common.logger import get_logger from src.config.config import global_config from .distribution_manager import stream_loop_manager logger = get_logger("context_manager") class SingleStreamContextManager: """单流上下文管理器 - 每个实例只管理一个 stream 的上下文""" def __init__(self, stream_id: str, context: StreamContext, max_context_size: int | None = None): self.stream_id = stream_id self.context = context # 配置参数 self.max_context_size = max_context_size or getattr(global_config.chat, "max_context_size", 100) self.context_ttl = getattr(global_config.chat, "context_ttl", 24 * 3600) # 24小时 # 元数据 self.created_time = time.time() self.last_access_time = time.time() self.access_count = 0 self.total_messages = 0 logger.debug(f"单流上下文管理器初始化: {stream_id}") def get_context(self) -> StreamContext: """获取流上下文""" self._update_access_stats() return self.context async def add_message(self, message: DatabaseMessages, skip_energy_update: bool = False) -> bool: """添加消息到上下文 Args: message: 消息对象 skip_energy_update: 是否跳过能量更新（兼容参数，当前忽略） Returns: bool: 是否成功添加 """ try: self.context.add_message(message) # 推迟兴趣度计算到分发阶段 message.interest_value = getattr(message, "interest_value", None) self.total_messages += 1 self.last_access_time = time.time() # 启动流的循环任务（如果还未启动） asyncio.create_task(stream_loop_manager.start_stream_loop(self.stream_id)) logger.debug(f"添加消息{message.processed_plain_text}到单流上下文: {self.stream_id}") return True except Exception as e: logger.error(f"添加消息到单流上下文失败 {self.stream_id}: {e}", exc_info=True) return False async def update_message(self, message_id: str, updates: dict[str, Any]) -> bool: """更新上下文中的消息 Args: message_id: 消息ID updates: 更新的属性 Returns: bool: 是否成功更新 """ try: self.context.update_message_info(message_id, **updates) logger.debug(f"更新单流上下文消息: {self.stream_id}/{message_id}") return True except Exception as e: logger.error(f"更新单流上下文消息失败 {self.stream_id}/{message_id}: {e}", exc_info=True) return False def get_messages(self, limit: int | None = None, include_unread: bool = True) -> list[DatabaseMessages]: """获取上下文消息 Args: limit: 消息数量限制 include_unread: 是否包含未读消息 Returns: List[DatabaseMessages]: 消息列表 """ try: messages = [] if include_unread: messages.extend(self.context.get_unread_messages()) if limit: messages.extend(self.context.get_history_messages(limit=limit)) else: messages.extend(self.context.get_history_messages()) # 按时间排序 messages.sort(key=lambda msg: getattr(msg, "time", 0)) # 应用限制 if limit and len(messages) > limit: messages = messages[-limit:] return messages except Exception as e: logger.error(f"获取单流上下文消息失败 {self.stream_id}: {e}", exc_info=True) return [] def get_unread_messages(self) -> list[DatabaseMessages]: """获取未读消息""" try: return self.context.get_unread_messages() except Exception as e: logger.error(f"获取单流未读消息失败 {self.stream_id}: {e}", exc_info=True) return [] def mark_messages_as_read(self, message_ids: list[str]) -> bool: """标记消息为已读""" try: if not hasattr(self.context, "mark_message_as_read"): logger.error(f"上下文对象缺少 mark_message_as_read 方法: {self.stream_id}") return False marked_count = 0 for message_id in message_ids: try: self.context.mark_message_as_read(message_id) marked_count += 1 except Exception as e: logger.warning(f"标记消息已读失败 {message_id}: {e}") logger.debug(f"标记消息为已读: {self.stream_id} ({marked_count}/{len(message_ids)}条)") return marked_count > 0 except Exception as e: logger.error(f"标记消息已读失败 {self.stream_id}: {e}", exc_info=True) return False async def clear_context(self) -> bool: """清空上下文""" try: if hasattr(self.context, "unread_messages"): self.context.unread_messages.clear() if hasattr(self.context, "history_messages"): self.context.history_messages.clear() reset_attrs = ["interruption_count", "afc_threshold_adjustment", "last_check_time"] for attr in reset_attrs: if hasattr(self.context, attr): if attr in ["interruption_count", "afc_threshold_adjustment"]: setattr(self.context, attr, 0) else: setattr(self.context, attr, time.time()) await self._update_stream_energy() logger.info(f"清空单流上下文: {self.stream_id}") return True except Exception as e: logger.error(f"清空单流上下文失败 {self.stream_id}: {e}", exc_info=True) return False def get_statistics(self) -> dict[str, Any]: """获取流统计信息""" try: current_time = time.time() uptime = current_time - self.created_time unread_messages = getattr(self.context, "unread_messages", []) history_messages = getattr(self.context, "history_messages", []) return { "stream_id": self.stream_id, "context_type": type(self.context).__name__, "total_messages": len(history_messages) + len(unread_messages), "unread_messages": len(unread_messages), "history_messages": len(history_messages), "is_active": getattr(self.context, "is_active", True), "last_check_time": getattr(self.context, "last_check_time", current_time), "interruption_count": getattr(self.context, "interruption_count", 0), "afc_threshold_adjustment": getattr(self.context, "afc_threshold_adjustment", 0.0), "created_time": self.created_time, "last_access_time": self.last_access_time, "access_count": self.access_count, "uptime_seconds": uptime, "idle_seconds": current_time - self.last_access_time, } except Exception as e: logger.error(f"获取单流统计失败 {self.stream_id}: {e}", exc_info=True) return {} def validate_integrity(self) -> bool: """验证上下文完整性""" try: # 检查基本属性 required_attrs = ["stream_id", "unread_messages", "history_messages"] for attr in required_attrs: if not hasattr(self.context, attr): logger.warning(f"上下文缺少必要属性: {attr}") return False # 检查消息ID唯一性 all_messages = getattr(self.context, "unread_messages", []) + getattr(self.context, "history_messages", []) message_ids = [msg.message_id for msg in all_messages if hasattr(msg, "message_id")] if len(message_ids) != len(set(message_ids)): logger.warning(f"上下文中存在重复消息ID: {self.stream_id}") return False return True except Exception as e: logger.error(f"验证单流上下文完整性失败 {self.stream_id}: {e}") return False def _update_access_stats(self): """更新访问统计""" self.last_access_time = time.time() self.access_count += 1 async def _calculate_message_interest(self, message: DatabaseMessages) -> float: """ 异步计算消息的兴趣度。 此方法通过检查当前是否存在正在运行的 asyncio 事件循环来兼容同步和异步调用。 """ # 内部异步函数，封装实际的计算逻辑 async def _get_score(): try: from src.plugins.built_in.affinity_flow_chatter.interest_scoring import ( chatter_interest_scoring_system, ) interest_score = await chatter_interest_scoring_system._calculate_single_message_score( message=message, bot_nickname=global_config.bot.nickname ) interest_value = interest_score.total_score logger.debug(f"使用插件内部系统计算兴趣度: {interest_value:.3f}") return interest_value except ImportError as e: logger.debug(f"兴趣度计算插件加载失败，可能未启用: {e}") return 0.5 except Exception as e: # 在某些情况下（例如机器人自己的消息），没有兴趣度是正常的 logger.info(f"插件内部兴趣度计算失败，使用默认值: {e}") return 0.5 # 检查并获取当前事件循环 try: loop = asyncio.get_running_loop() except RuntimeError: # 'RuntimeError: There is no current event loop...' loop = None if loop and loop.is_running(): # 如果事件循环正在运行，直接 await return await _get_score() else: # 否则，使用 asyncio.run() 来安全执行 return asyncio.run(_get_score()) async def add_message_async(self, message: DatabaseMessages, skip_energy_update: bool = False) -> bool: """异步实现的 add_message：将消息添加到 context，并 await 能量更新与分发。""" try: self.context.add_message(message) # 推迟兴趣度计算到分发阶段 message.interest_value = getattr(message, "interest_value", None) self.total_messages += 1 self.last_access_time = time.time() # 启动流的循环任务（如果还未启动） asyncio.create_task(stream_loop_manager.start_stream_loop(self.stream_id)) logger.debug(f"添加消息到单流上下文(异步): {self.stream_id} (兴趣度待计算)") return True except Exception as e: logger.error(f"添加消息到单流上下文失败 (async) {self.stream_id}: {e}", exc_info=True) return False async def update_message_async(self, message_id: str, updates: dict[str, Any]) -> bool: """异步实现的 update_message：更新消息并在需要时 await 能量更新。""" try: self.context.update_message_info(message_id, **updates) logger.debug(f"更新单流上下文消息(异步): {self.stream_id}/{message_id}") return True except Exception as e: logger.error(f"更新单流上下文消息失败 (async) {self.stream_id}/{message_id}: {e}", exc_info=True) return False async def clear_context_async(self) -> bool: """异步实现的 clear_context：清空消息并 await 能量重算。""" try: if hasattr(self.context, "unread_messages"): self.context.unread_messages.clear() if hasattr(self.context, "history_messages"): self.context.history_messages.clear() reset_attrs = ["interruption_count", "afc_threshold_adjustment", "last_check_time"] for attr in reset_attrs: if hasattr(self.context, attr): if attr in ["interruption_count", "afc_threshold_adjustment"]: setattr(self.context, attr, 0) else: setattr(self.context, attr, time.time()) await self._update_stream_energy() logger.info(f"清空单流上下文(异步): {self.stream_id}") return True except Exception as e: logger.error(f"清空单流上下文失败 (async) {self.stream_id}: {e}", exc_info=True) return False async def refresh_focus_energy_from_history(self) -> None: """基于历史消息刷新聚焦能量""" await self._update_stream_energy(include_unread=False) async def _update_stream_energy(self, include_unread: bool = False) -> None: """更新流能量""" try: history_messages = self.context.get_history_messages(limit=self.max_context_size) messages: list[DatabaseMessages] = list(history_messages) if include_unread: messages.extend(self.get_unread_messages()) # 获取用户ID（优先使用最新历史消息） user_id = None if messages: last_message = messages[-1] if hasattr(last_message, "user_info") and last_message.user_info: user_id = last_message.user_info.user_id await energy_manager.calculate_focus_energy( stream_id=self.stream_id, messages=messages, user_id=user_id, ) except Exception as e: logger.error(f"更新单流能量失败 {self.stream_id}: {e}")