import asyncio import hashlib import time import copy from typing import Dict, Optional, TYPE_CHECKING from rich.traceback import install from maim_message import GroupInfo, UserInfo from src.common.logger import get_logger from sqlalchemy import select from sqlalchemy.dialects.sqlite import insert as sqlite_insert from sqlalchemy.dialects.mysql import insert as mysql_insert from src.common.database.sqlalchemy_models import ChatStreams # 新增导入 from src.common.database.sqlalchemy_database_api import get_db_session from src.config.config import global_config # 新增导入 # 避免循环导入，使用TYPE_CHECKING进行类型提示 if TYPE_CHECKING: from .message import MessageRecv install(extra_lines=3) logger = get_logger("chat_stream") class ChatStream: """聊天流对象，存储一个完整的聊天上下文""" def __init__( self, stream_id: str, platform: str, user_info: UserInfo, group_info: Optional[GroupInfo] = None, data: Optional[dict] = None, ): self.stream_id = stream_id self.platform = platform self.user_info = user_info self.group_info = group_info self.create_time = data.get("create_time", time.time()) if data else time.time() self.last_active_time = data.get("last_active_time", self.create_time) if data else self.create_time self.sleep_pressure = data.get("sleep_pressure", 0.0) if data else 0.0 self.saved = False # 使用StreamContext替代ChatMessageContext from src.common.data_models.message_manager_data_model import StreamContext from src.plugin_system.base.component_types import ChatType, ChatMode self.stream_context: StreamContext = StreamContext( stream_id=stream_id, chat_type=ChatType.GROUP if group_info else ChatType.PRIVATE, chat_mode=ChatMode.NORMAL ) # 基础参数 self.base_interest_energy = 0.5 # 默认基础兴趣度 self._focus_energy = 0.5 # 内部存储的focus_energy值 self.no_reply_consecutive = 0 # 自动加载历史消息 self._load_history_messages() def to_dict(self) -> dict: """转换为字典格式""" return { "stream_id": self.stream_id, "platform": self.platform, "user_info": self.user_info.to_dict() if self.user_info else None, "group_info": self.group_info.to_dict() if self.group_info else None, "create_time": self.create_time, "last_active_time": self.last_active_time, "sleep_pressure": self.sleep_pressure, "focus_energy": self.focus_energy, # 基础兴趣度 "base_interest_energy": self.base_interest_energy, # 新增stream_context信息 "stream_context_chat_type": self.stream_context.chat_type.value, "stream_context_chat_mode": self.stream_context.chat_mode.value, # 新增interruption_count信息 "interruption_count": self.stream_context.interruption_count, } @classmethod def from_dict(cls, data: dict) -> "ChatStream": """从字典创建实例""" user_info = UserInfo.from_dict(data.get("user_info", {})) if data.get("user_info") else None group_info = GroupInfo.from_dict(data.get("group_info", {})) if data.get("group_info") else None instance = cls( stream_id=data["stream_id"], platform=data["platform"], user_info=user_info, # type: ignore group_info=group_info, data=data, ) # 恢复stream_context信息 if "stream_context_chat_type" in data: from src.plugin_system.base.component_types import ChatType, ChatMode instance.stream_context.chat_type = ChatType(data["stream_context_chat_type"]) if "stream_context_chat_mode" in data: from src.plugin_system.base.component_types import ChatType, ChatMode instance.stream_context.chat_mode = ChatMode(data["stream_context_chat_mode"]) # 恢复interruption_count信息 if "interruption_count" in data: instance.stream_context.interruption_count = data["interruption_count"] return instance def update_active_time(self): """更新最后活跃时间""" self.last_active_time = time.time() self.saved = False def set_context(self, message: "MessageRecv"): """设置聊天消息上下文""" # 将MessageRecv转换为DatabaseMessages并设置到stream_context from src.common.data_models.database_data_model import DatabaseMessages import json # 安全获取message_info中的数据 message_info = getattr(message, "message_info", {}) user_info = getattr(message_info, "user_info", {}) group_info = getattr(message_info, "group_info", {}) # 提取reply_to信息（从message_segment中查找reply类型的段） reply_to = None if hasattr(message, "message_segment") and message.message_segment: reply_to = self._extract_reply_from_segment(message.message_segment) # 完整的数据转移逻辑 db_message = DatabaseMessages( # 基础消息信息 message_id=getattr(message, "message_id", ""), time=getattr(message, "time", time.time()), chat_id=self._generate_chat_id(message_info), reply_to=reply_to, # 兴趣度相关 interest_value=getattr(message, "interest_value", 0.0), # 关键词 key_words=json.dumps(getattr(message, "key_words", []), ensure_ascii=False) if getattr(message, "key_words", None) else None, key_words_lite=json.dumps(getattr(message, "key_words_lite", []), ensure_ascii=False) if getattr(message, "key_words_lite", None) else None, # 消息状态标记 is_mentioned=getattr(message, "is_mentioned", None), is_at=getattr(message, "is_at", False), is_emoji=getattr(message, "is_emoji", False), is_picid=getattr(message, "is_picid", False), is_voice=getattr(message, "is_voice", False), is_video=getattr(message, "is_video", False), is_command=getattr(message, "is_command", False), is_notify=getattr(message, "is_notify", False), # 消息内容 processed_plain_text=getattr(message, "processed_plain_text", ""), display_message=getattr(message, "processed_plain_text", ""), # 默认使用processed_plain_text # 优先级信息 priority_mode=getattr(message, "priority_mode", None), priority_info=json.dumps(getattr(message, "priority_info", None)) if getattr(message, "priority_info", None) else None, # 额外配置 additional_config=getattr(message_info, "additional_config", None), # 用户信息 user_id=str(getattr(user_info, "user_id", "")), user_nickname=getattr(user_info, "user_nickname", ""), user_cardname=getattr(user_info, "user_cardname", None), user_platform=getattr(user_info, "platform", ""), # 群组信息 chat_info_group_id=getattr(group_info, "group_id", None), chat_info_group_name=getattr(group_info, "group_name", None), chat_info_group_platform=getattr(group_info, "platform", None), # 聊天流信息 chat_info_user_id=str(getattr(user_info, "user_id", "")), chat_info_user_nickname=getattr(user_info, "user_nickname", ""), chat_info_user_cardname=getattr(user_info, "user_cardname", None), chat_info_user_platform=getattr(user_info, "platform", ""), chat_info_stream_id=self.stream_id, chat_info_platform=self.platform, chat_info_create_time=self.create_time, chat_info_last_active_time=self.last_active_time, # 新增兴趣度系统字段 - 添加安全处理 actions=self._safe_get_actions(message), should_reply=getattr(message, "should_reply", False), ) self.stream_context.set_current_message(db_message) self.stream_context.priority_mode = getattr(message, "priority_mode", None) self.stream_context.priority_info = getattr(message, "priority_info", None) # 调试日志：记录数据转移情况 logger.debug(f"消息数据转移完成 - message_id: {db_message.message_id}, " f"chat_id: {db_message.chat_id}, " f"is_mentioned: {db_message.is_mentioned}, " f"is_emoji: {db_message.is_emoji}, " f"is_picid: {db_message.is_picid}, " f"interest_value: {db_message.interest_value}") def _safe_get_actions(self, message: "MessageRecv") -> Optional[list]: """安全获取消息的actions字段""" try: actions = getattr(message, "actions", None) if actions is None: return None # 如果是字符串，尝试解析为JSON if isinstance(actions, str): try: import json actions = json.loads(actions) except json.JSONDecodeError: logger.warning(f"无法解析actions JSON字符串: {actions}") return None # 确保返回列表类型 if isinstance(actions, list): # 过滤掉空值和非字符串元素 filtered_actions = [action for action in actions if action is not None and isinstance(action, str)] return filtered_actions if filtered_actions else None else: logger.warning(f"actions字段类型不支持: {type(actions)}") return None except Exception as e: logger.warning(f"获取actions字段失败: {e}") return None def _extract_reply_from_segment(self, segment) -> Optional[str]: """从消息段中提取reply_to信息""" try: if hasattr(segment, "type") and segment.type == "seglist": # 递归搜索seglist中的reply段 if hasattr(segment, "data") and segment.data: for seg in segment.data: reply_id = self._extract_reply_from_segment(seg) if reply_id: return reply_id elif hasattr(segment, "type") and segment.type == "reply": # 找到reply段，返回message_id return str(segment.data) if segment.data else None except Exception as e: logger.warning(f"提取reply_to信息失败: {e}") return None def _generate_chat_id(self, message_info) -> str: """生成chat_id，基于群组或用户信息""" try: group_info = getattr(message_info, "group_info", None) user_info = getattr(message_info, "user_info", None) if group_info and hasattr(group_info, "group_id") and group_info.group_id: # 群聊：使用群组ID return f"{self.platform}_{group_info.group_id}" elif user_info and hasattr(user_info, "user_id") and user_info.user_id: # 私聊：使用用户ID return f"{self.platform}_{user_info.user_id}_private" else: # 默认：使用stream_id return self.stream_id except Exception as e: logger.warning(f"生成chat_id失败: {e}") return self.stream_id @property def focus_energy(self) -> float: """使用重构后的能量管理器计算focus_energy""" try: from src.chat.energy_system import energy_manager # 获取所有消息 history_messages = self.stream_context.get_history_messages(limit=global_config.chat.max_context_size) unread_messages = self.stream_context.get_unread_messages() all_messages = history_messages + unread_messages # 获取用户ID user_id = None if self.user_info and hasattr(self.user_info, "user_id"): user_id = str(self.user_info.user_id) # 使用能量管理器计算 energy = energy_manager.calculate_focus_energy( stream_id=self.stream_id, messages=all_messages, user_id=user_id ) # 更新内部存储 self._focus_energy = energy logger.debug(f"聊天流 {self.stream_id} 能量: {energy:.3f}") return energy except Exception as e: logger.error(f"获取focus_energy失败: {e}", exc_info=True) # 返回缓存的值或默认值 if hasattr(self, '_focus_energy'): return self._focus_energy else: return 0.5 @focus_energy.setter def focus_energy(self, value: float): """设置focus_energy值（主要用于初始化或特殊场景）""" self._focus_energy = max(0.0, min(1.0, value)) def _get_user_relationship_score(self) -> float: """从新的兴趣度管理系统获取用户关系分""" try: # 使用新的兴趣度管理系统 from src.chat.interest_system import interest_manager if self.user_info and hasattr(self.user_info, "user_id"): user_id = str(self.user_info.user_id) # 获取用户交互历史作为关系分的基础 interaction_calc = interest_manager.calculators.get( interest_manager.InterestSourceType.USER_INTERACTION ) if interaction_calc: return interaction_calc.calculate({"user_id": user_id}) except Exception: pass # 默认基础分 return 0.3 def _load_history_messages(self): """从数据库加载历史消息到StreamContext""" try: from src.common.database.sqlalchemy_models import Messages from src.common.database.sqlalchemy_database_api import get_db_session from src.common.data_models.database_data_model import DatabaseMessages from sqlalchemy import select, desc import asyncio async def _load_messages(): def _db_query(): with get_db_session() as session: # 查询该stream_id的最近20条消息 stmt = ( select(Messages) .where(Messages.chat_info_stream_id == self.stream_id) .order_by(desc(Messages.time)) .limit(global_config.chat.max_context_size) ) results = session.execute(stmt).scalars().all() return results # 在线程中执行数据库查询 db_messages = await asyncio.to_thread(_db_query) # 转换为DatabaseMessages对象并添加到StreamContext for db_msg in db_messages: try: # 从SQLAlchemy模型转换为DatabaseMessages数据模型 import orjson # 解析actions字段（JSON格式） actions = None if db_msg.actions: try: actions = orjson.loads(db_msg.actions) except (orjson.JSONDecodeError, TypeError): actions = None db_message = DatabaseMessages( message_id=db_msg.message_id, time=db_msg.time, chat_id=db_msg.chat_id, reply_to=db_msg.reply_to, interest_value=db_msg.interest_value, key_words=db_msg.key_words, key_words_lite=db_msg.key_words_lite, is_mentioned=db_msg.is_mentioned, processed_plain_text=db_msg.processed_plain_text, display_message=db_msg.display_message, priority_mode=db_msg.priority_mode, priority_info=db_msg.priority_info, additional_config=db_msg.additional_config, is_emoji=db_msg.is_emoji, is_picid=db_msg.is_picid, is_command=db_msg.is_command, is_notify=db_msg.is_notify, user_id=db_msg.user_id, user_nickname=db_msg.user_nickname, user_cardname=db_msg.user_cardname, user_platform=db_msg.user_platform, chat_info_group_id=db_msg.chat_info_group_id, chat_info_group_name=db_msg.chat_info_group_name, chat_info_group_platform=db_msg.chat_info_group_platform, chat_info_user_id=db_msg.chat_info_user_id, chat_info_user_nickname=db_msg.chat_info_user_nickname, chat_info_user_cardname=db_msg.chat_info_user_cardname, chat_info_user_platform=db_msg.chat_info_user_platform, chat_info_stream_id=db_msg.chat_info_stream_id, chat_info_platform=db_msg.chat_info_platform, chat_info_create_time=db_msg.chat_info_create_time, chat_info_last_active_time=db_msg.chat_info_last_active_time, actions=actions, should_reply=getattr(db_msg, "should_reply", False) or False, ) # 添加调试日志：检查从数据库加载的interest_value logger.debug(f"加载历史消息 {db_message.message_id} - interest_value: {db_message.interest_value}") # 标记为已读并添加到历史消息 db_message.is_read = True self.stream_context.history_messages.append(db_message) except Exception as e: logger.warning(f"转换消息 {db_msg.message_id} 失败: {e}") continue if self.stream_context.history_messages: logger.info( f"已从数据库加载 {len(self.stream_context.history_messages)} 条历史消息到聊天流 {self.stream_id}" ) # 创建任务来加载历史消息 asyncio.create_task(_load_messages()) except Exception as e: logger.error(f"加载历史消息失败: {e}") class ChatManager: """聊天管理器，管理所有聊天流""" _instance = None _initialized = False def __new__(cls): if cls._instance is None: cls._instance = super().__new__(cls) return cls._instance def __init__(self): if not self._initialized: self.streams: Dict[str, ChatStream] = {} # stream_id -> ChatStream self.last_messages: Dict[str, "MessageRecv"] = {} # stream_id -> last_message # try: # with get_db_session() as session: # db.connect(reuse_if_open=True) # # 确保 ChatStreams 表存在 # session.execute(text("CREATE TABLE IF NOT EXISTS chat_streams (stream_id TEXT PRIMARY KEY, platform TEXT, create_time REAL, last_active_time REAL, user_platform TEXT, user_id TEXT, user_nickname TEXT, user_cardname TEXT, group_platform TEXT, group_id TEXT, group_name TEXT)")) # session.commit() # except Exception as e: # logger.error(f"数据库连接或 ChatStreams 表创建失败: {e}") self._initialized = True # 在事件循环中启动初始化 # asyncio.create_task(self._initialize()) # # 启动自动保存任务 # asyncio.create_task(self._auto_save_task()) async def _initialize(self): """异步初始化""" try: await self.load_all_streams() logger.info(f"聊天管理器已启动，已加载 {len(self.streams)} 个聊天流") except Exception as e: logger.error(f"聊天管理器启动失败: {str(e)}") async def _auto_save_task(self): """定期自动保存所有聊天流""" while True: await asyncio.sleep(300) # 每5分钟保存一次 try: await self._save_all_streams() logger.info("聊天流自动保存完成") except Exception as e: logger.error(f"聊天流自动保存失败: {str(e)}") def register_message(self, message: "MessageRecv"): """注册消息到聊天流""" stream_id = self._generate_stream_id( message.message_info.platform, # type: ignore message.message_info.user_info, message.message_info.group_info, ) self.last_messages[stream_id] = message # logger.debug(f"注册消息到聊天流: {stream_id}") @staticmethod def _generate_stream_id( platform: str, user_info: Optional[UserInfo], group_info: Optional[GroupInfo] = None ) -> str: """生成聊天流唯一ID""" if not user_info and not group_info: raise ValueError("用户信息或群组信息必须提供") if group_info: # 组合关键信息 components = [platform, str(group_info.group_id)] else: components = [platform, str(user_info.user_id), "private"] # type: ignore # 使用MD5生成唯一ID key = "_".join(components) return hashlib.md5(key.encode()).hexdigest() def get_stream_id(self, platform: str, id: str, is_group: bool = True) -> str: """获取聊天流ID""" components = [platform, id] if is_group else [platform, id, "private"] key = "_".join(components) return hashlib.md5(key.encode()).hexdigest() async def get_or_create_stream( self, platform: str, user_info: UserInfo, group_info: Optional[GroupInfo] = None ) -> ChatStream: """获取或创建聊天流 Args: platform: 平台标识 user_info: 用户信息 group_info: 群组信息（可选） Returns: ChatStream: 聊天流对象 """ # 生成stream_id try: stream_id = self._generate_stream_id(platform, user_info, group_info) # 检查内存中是否存在 if stream_id in self.streams: stream = self.streams[stream_id] # 更新用户信息和群组信息 stream.update_active_time() stream = copy.deepcopy(stream) # 返回副本以避免外部修改影响缓存 if user_info.platform and user_info.user_id: stream.user_info = user_info if group_info: stream.group_info = group_info from .message import MessageRecv # 延迟导入，避免循环引用 if stream_id in self.last_messages and isinstance(self.last_messages[stream_id], MessageRecv): stream.set_context(self.last_messages[stream_id]) else: logger.error(f"聊天流 {stream_id} 不在最后消息列表中，可能是新创建的") return stream # 检查数据库中是否存在 def _db_find_stream_sync(s_id: str): with get_db_session() as session: return session.execute(select(ChatStreams).where(ChatStreams.stream_id == s_id)).scalar() model_instance = await asyncio.to_thread(_db_find_stream_sync, stream_id) if model_instance: # 从 Peewee 模型转换回 ChatStream.from_dict 期望的格式 user_info_data = { "platform": model_instance.user_platform, "user_id": model_instance.user_id, "user_nickname": model_instance.user_nickname, "user_cardname": model_instance.user_cardname or "", } group_info_data = None if model_instance and getattr(model_instance, "group_id", None): group_info_data = { "platform": model_instance.group_platform, "group_id": model_instance.group_id, "group_name": model_instance.group_name, } data_for_from_dict = { "stream_id": model_instance.stream_id, "platform": model_instance.platform, "user_info": user_info_data, "group_info": group_info_data, "create_time": model_instance.create_time, "last_active_time": model_instance.last_active_time, "energy_value": model_instance.energy_value, "sleep_pressure": model_instance.sleep_pressure, } stream = ChatStream.from_dict(data_for_from_dict) # 更新用户信息和群组信息 stream.user_info = user_info if group_info: stream.group_info = group_info stream.update_active_time() else: # 创建新的聊天流 stream = ChatStream( stream_id=stream_id, platform=platform, user_info=user_info, group_info=group_info, ) except Exception as e: logger.error(f"获取或创建聊天流失败: {e}", exc_info=True) raise e stream = copy.deepcopy(stream) from .message import MessageRecv # 延迟导入，避免循环引用 if stream_id in self.last_messages and isinstance(self.last_messages[stream_id], MessageRecv): stream.set_context(self.last_messages[stream_id]) else: logger.error(f"聊天流 {stream_id} 不在最后消息列表中，可能是新创建的") # 保存到内存和数据库 self.streams[stream_id] = stream await self._save_stream(stream) return stream def get_stream(self, stream_id: str) -> Optional[ChatStream]: """通过stream_id获取聊天流""" stream = self.streams.get(stream_id) if not stream: return None if stream_id in self.last_messages: stream.set_context(self.last_messages[stream_id]) return stream def get_stream_by_info( self, platform: str, user_info: UserInfo, group_info: Optional[GroupInfo] = None ) -> Optional[ChatStream]: """通过信息获取聊天流""" stream_id = self._generate_stream_id(platform, user_info, group_info) return self.streams.get(stream_id) def get_stream_name(self, stream_id: str) -> Optional[str]: """根据 stream_id 获取聊天流名称""" stream = self.get_stream(stream_id) if not stream: return None if stream.group_info and stream.group_info.group_name: return stream.group_info.group_name elif stream.user_info and stream.user_info.user_nickname: return f"{stream.user_info.user_nickname}的私聊" else: return None @staticmethod async def _save_stream(stream: ChatStream): """保存聊天流到数据库""" if stream.saved: return stream_data_dict = stream.to_dict() def _db_save_stream_sync(s_data_dict: dict): with get_db_session() as session: user_info_d = s_data_dict.get("user_info") group_info_d = s_data_dict.get("group_info") fields_to_save = { "platform": s_data_dict["platform"], "create_time": s_data_dict["create_time"], "last_active_time": s_data_dict["last_active_time"], "user_platform": user_info_d["platform"] if user_info_d else "", "user_id": user_info_d["user_id"] if user_info_d else "", "user_nickname": user_info_d["user_nickname"] if user_info_d else "", "user_cardname": user_info_d.get("user_cardname", "") if user_info_d else None, "group_platform": group_info_d["platform"] if group_info_d else "", "group_id": group_info_d["group_id"] if group_info_d else "", "group_name": group_info_d["group_name"] if group_info_d else "", "energy_value": s_data_dict.get("energy_value", 5.0), "sleep_pressure": s_data_dict.get("sleep_pressure", 0.0), "focus_energy": s_data_dict.get("focus_energy", 0.5), # 新增动态兴趣度系统字段 "base_interest_energy": s_data_dict.get("base_interest_energy", 0.5), "message_interest_total": s_data_dict.get("message_interest_total", 0.0), "message_count": s_data_dict.get("message_count", 0), "action_count": s_data_dict.get("action_count", 0), "reply_count": s_data_dict.get("reply_count", 0), "last_interaction_time": s_data_dict.get("last_interaction_time", time.time()), "consecutive_no_reply": s_data_dict.get("consecutive_no_reply", 0), "interruption_count": s_data_dict.get("interruption_count", 0), } # 根据数据库类型选择插入语句 if global_config.database.database_type == "sqlite": stmt = sqlite_insert(ChatStreams).values(stream_id=s_data_dict["stream_id"], **fields_to_save) stmt = stmt.on_conflict_do_update(index_elements=["stream_id"], set_=fields_to_save) elif global_config.database.database_type == "mysql": stmt = mysql_insert(ChatStreams).values(stream_id=s_data_dict["stream_id"], **fields_to_save) stmt = stmt.on_duplicate_key_update( **{key: value for key, value in fields_to_save.items() if key != "stream_id"} ) else: # 默认使用通用插入，尝试SQLite语法 stmt = sqlite_insert(ChatStreams).values(stream_id=s_data_dict["stream_id"], **fields_to_save) stmt = stmt.on_conflict_do_update(index_elements=["stream_id"], set_=fields_to_save) session.execute(stmt) session.commit() try: await asyncio.to_thread(_db_save_stream_sync, stream_data_dict) stream.saved = True except Exception as e: logger.error(f"保存聊天流 {stream.stream_id} 到数据库失败 (Peewee): {e}", exc_info=True) async def _save_all_streams(self): """保存所有聊天流""" for stream in self.streams.values(): await self._save_stream(stream) async def load_all_streams(self): """从数据库加载所有聊天流""" logger.info("正在从数据库加载所有聊天流") def _db_load_all_streams_sync(): loaded_streams_data = [] with get_db_session() as session: for model_instance in session.execute(select(ChatStreams)).scalars(): user_info_data = { "platform": model_instance.user_platform, "user_id": model_instance.user_id, "user_nickname": model_instance.user_nickname, "user_cardname": model_instance.user_cardname or "", } group_info_data = None if model_instance and getattr(model_instance, "group_id", None): group_info_data = { "platform": model_instance.group_platform, "group_id": model_instance.group_id, "group_name": model_instance.group_name, } data_for_from_dict = { "stream_id": model_instance.stream_id, "platform": model_instance.platform, "user_info": user_info_data, "group_info": group_info_data, "create_time": model_instance.create_time, "last_active_time": model_instance.last_active_time, "energy_value": model_instance.energy_value, "sleep_pressure": model_instance.sleep_pressure, "focus_energy": getattr(model_instance, "focus_energy", 0.5), # 新增动态兴趣度系统字段 - 使用getattr提供默认值 "base_interest_energy": getattr(model_instance, "base_interest_energy", 0.5), "message_interest_total": getattr(model_instance, "message_interest_total", 0.0), "message_count": getattr(model_instance, "message_count", 0), "action_count": getattr(model_instance, "action_count", 0), "reply_count": getattr(model_instance, "reply_count", 0), "last_interaction_time": getattr(model_instance, "last_interaction_time", time.time()), "relationship_score": getattr(model_instance, "relationship_score", 0.3), "consecutive_no_reply": getattr(model_instance, "consecutive_no_reply", 0), "interruption_count": getattr(model_instance, "interruption_count", 0), } loaded_streams_data.append(data_for_from_dict) session.commit() return loaded_streams_data try: all_streams_data_list = await asyncio.to_thread(_db_load_all_streams_sync) self.streams.clear() for data in all_streams_data_list: stream = ChatStream.from_dict(data) stream.saved = True self.streams[stream.stream_id] = stream if stream.stream_id in self.last_messages: stream.set_context(self.last_messages[stream.stream_id]) except Exception as e: logger.error(f"从数据库加载所有聊天流失败 (Peewee): {e}", exc_info=True) chat_manager = None def get_chat_manager(): global chat_manager if chat_manager is None: chat_manager = ChatManager() return chat_manager