import traceback import os import re from typing import Dict, Any, Optional from maim_message import UserInfo, Seg, GroupInfo from src.common.logger import get_logger from src.config.config import global_config from src.mood.mood_manager import mood_manager # 导入情绪管理器 from src.chat.message_receive.chat_stream import get_chat_manager from src.chat.message_receive.message import MessageRecv from src.chat.message_receive.storage import MessageStorage from src.chat.heart_flow.heartflow_message_processor import HeartFCMessageReceiver from src.chat.utils.prompt_builder import Prompt, global_prompt_manager from src.plugin_system.core import component_registry, events_manager, global_announcement_manager from src.plugin_system.base import BaseCommand, EventType # 定义日志配置 # 获取项目根目录（假设本文件在src/chat/message_receive/下，根目录为上上上级目录） PROJECT_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../..")) # 配置主程序日志格式 logger = get_logger("chat") def _check_ban_words(text: str, userinfo: UserInfo, group_info: Optional[GroupInfo] = None) -> bool: """检查消息是否包含过滤词 Args: text: 待检查的文本 chat: 聊天对象 userinfo: 用户信息 Returns: bool: 是否包含过滤词 """ for word in global_config.message_receive.ban_words: if word in text: chat_name = group_info.group_name if group_info else "私聊" logger.info(f"[{chat_name}]{userinfo.user_nickname}:{text}") logger.info(f"[过滤词识别]消息中含有{word}，filtered") return True return False def _check_ban_regex(text: str, userinfo: UserInfo, group_info: Optional[GroupInfo] = None) -> bool: """检查消息是否匹配过滤正则表达式 Args: text: 待检查的文本 chat: 聊天对象 userinfo: 用户信息 Returns: bool: 是否匹配过滤正则 """ # 检查text是否为None或空字符串 if text is None or not text: return False for pattern in global_config.message_receive.ban_msgs_regex: if re.search(pattern, text): chat_name = group_info.group_name if group_info else "私聊" logger.info(f"[{chat_name}]{userinfo.user_nickname}:{text}") logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered") return True return False class ChatBot: def __init__(self): self.bot = None # bot 实例引用 self._started = False self.mood_manager = mood_manager # 获取情绪管理器单例 self.heartflow_message_receiver = HeartFCMessageReceiver() # 新增 async def _ensure_started(self): """确保所有任务已启动""" if not self._started: logger.debug("确保ChatBot所有任务已启动") self._started = True async def _process_commands(self, message: MessageRecv): # sourcery skip: use-named-expression """使用新插件系统处理命令""" try: text = message.processed_plain_text # 使用新的组件注册中心查找命令 command_result = component_registry.find_command_by_text(text) if command_result: command_class, matched_groups, command_info = command_result plugin_name = command_info.plugin_name command_name = command_info.name if ( message.chat_stream and message.chat_stream.stream_id and command_name in global_announcement_manager.get_disabled_chat_commands(message.chat_stream.stream_id) ): logger.info("用户禁用的命令，跳过处理") return False, None, True message.is_command = True # 获取插件配置 plugin_config = component_registry.get_plugin_config(plugin_name) # 创建命令实例 command_instance: BaseCommand = command_class(message, plugin_config) command_instance.set_matched_groups(matched_groups) try: # 执行命令 success, response, intercept_message_level = await command_instance.execute() message.intercept_message_level = intercept_message_level # 记录命令执行结果 if success: logger.info(f"命令执行成功: {command_class.__name__} (拦截等级: {intercept_message_level})") else: logger.warning(f"命令执行失败: {command_class.__name__} - {response}") # 根据命令的拦截设置决定是否继续处理消息 return True, response, not bool(intercept_message_level) # 找到命令，根据intercept_message决定是否继续 except Exception as e: logger.error(f"执行命令时出错: {command_class.__name__} - {e}") logger.error(traceback.format_exc()) try: await command_instance.send_text(f"命令执行出错: {str(e)}") except Exception as send_error: logger.error(f"发送错误消息失败: {send_error}") # 命令出错时，根据命令的拦截设置决定是否继续处理消息 return True, str(e), False # 出错时继续处理消息 # 没有找到命令，继续处理消息 return False, None, True except Exception as e: logger.error(f"处理命令时出错: {e}") return False, None, True # 出错时继续处理消息 async def handle_notice_message(self, message: MessageRecv): if message.message_info.message_id == "notice": message.is_notify = True logger.debug("notice消息") try: seg = message.message_segment mi = message.message_info sub_type = None scene = None msg_id = None recalled_id = None if getattr(seg, "type", None) == "notify" and isinstance(getattr(seg, "data", None), dict): sub_type = seg.data.get("sub_type") scene = seg.data.get("scene") msg_id = seg.data.get("message_id") recalled = seg.data.get("recalled_user_info") or {} if isinstance(recalled, dict): recalled_id = recalled.get("user_id") op = mi.user_info gid = mi.group_info.group_id if mi.group_info else None # 撤回事件打印；无法获取被撤回者则省略 if sub_type == "recall": op_name = ( getattr(op, "user_cardname", None) or getattr(op, "user_nickname", None) or str(getattr(op, "user_id", None)) ) recalled_name = None try: if isinstance(recalled, dict): recalled_name = ( recalled.get("user_cardname") or recalled.get("user_nickname") or str(recalled.get("user_id")) ) except Exception: pass if recalled_name and str(recalled_id) != str(getattr(op, "user_id", None)): logger.info(f"{op_name} 撤回了 {recalled_name} 的消息") else: logger.info(f"{op_name} 撤回了消息") else: logger.debug( f"[notice] sub_type={sub_type} scene={scene} op={getattr(op, 'user_nickname', None)}({getattr(op, 'user_id', None)}) " f"gid={gid} msg_id={msg_id} recalled={recalled_id}" ) except Exception: logger.info("[notice] (简略) 收到一条通知事件") return True return async def echo_message_process(self, raw_data: Dict[str, Any]) -> None: """ 用于专门处理回送消息ID的函数 """ message_data: Dict[str, Any] = raw_data.get("content", {}) if not message_data: return message_type = message_data.get("type") if message_type != "echo": return mmc_message_id = message_data.get("echo") actual_message_id = message_data.get("actual_id") if MessageStorage.update_message(mmc_message_id, actual_message_id): logger.debug(f"更新消息ID成功: {mmc_message_id} -> {actual_message_id}") else: logger.warning(f"更新消息ID失败: {mmc_message_id} -> {actual_message_id}") async def message_process(self, message_data: Dict[str, Any]) -> None: """处理转化后的统一格式消息 这个函数本质是预处理一些数据，根据配置信息和消息内容，预处理消息，并分发到合适的消息处理器中 heart_flow模式：使用思维流系统进行回复 - 包含思维流状态管理 - 在回复前进行观察和状态更新 - 回复后更新思维流状态 - 消息过滤 - 记忆激活 - 意愿计算 - 消息生成和发送 - 表情包处理 - 性能计时 """ try: # 确保所有任务已启动 await self._ensure_started() if message_data["message_info"].get("group_info") is not None: message_data["message_info"]["group_info"]["group_id"] = str( message_data["message_info"]["group_info"]["group_id"] ) if message_data["message_info"].get("user_info") is not None: message_data["message_info"]["user_info"]["user_id"] = str( message_data["message_info"]["user_info"]["user_id"] ) # print(message_data) # logger.debug(str(message_data)) message = MessageRecv(message_data) group_info = message.message_info.group_info user_info = message.message_info.user_info continue_flag, modified_message = await events_manager.handle_mai_events( EventType.ON_MESSAGE_PRE_PROCESS, message ) if not continue_flag: return if modified_message and modified_message._modify_flags.modify_message_segments: message.message_segment = Seg(type="seglist", data=modified_message.message_segments) if await self.handle_notice_message(message): pass # 处理消息内容，生成纯文本 await message.process() # 平台层的 @ 检测由底层 is_mentioned_bot_in_message 统一处理；此处不做用户名硬编码匹配 # 过滤检查 if _check_ban_words( message.processed_plain_text, user_info, # type: ignore group_info, ) or _check_ban_regex( message.raw_message, # type: ignore user_info, # type: ignore group_info, ): return get_chat_manager().register_message(message) chat = await get_chat_manager().get_or_create_stream( platform=message.message_info.platform, # type: ignore user_info=user_info, # type: ignore group_info=group_info, ) message.update_chat_stream(chat) # if await self.check_ban_content(message): # logger.warning(f"检测到消息中含有违法，色情，暴力，反动，敏感内容，消息内容：{message.processed_plain_text}，发送者：{message.message_info.user_info.user_nickname}") # return # 命令处理 - 使用新插件系统检查并处理命令 is_command, cmd_result, continue_process = await self._process_commands(message) # 如果是命令且不需要继续处理，则直接返回 if is_command and not continue_process: await MessageStorage.store_message(message, chat) logger.info(f"命令处理完成，跳过后续消息处理: {cmd_result}") return continue_flag, modified_message = await events_manager.handle_mai_events(EventType.ON_MESSAGE, message) if not continue_flag: return if modified_message and modified_message._modify_flags.modify_plain_text: message.processed_plain_text = modified_message.plain_text # 确认从接口发来的message是否有自定义的prompt模板信息 if message.message_info.template_info and not message.message_info.template_info.template_default: template_group_name: Optional[str] = message.message_info.template_info.template_name # type: ignore template_items = message.message_info.template_info.template_items async with global_prompt_manager.async_message_scope(template_group_name): if isinstance(template_items, dict): for k in template_items.keys(): await Prompt.create_async(template_items[k], k) logger.debug(f"注册{template_items[k]},{k}") else: template_group_name = None async def preprocess(): await self.heartflow_message_receiver.process_message(message) if template_group_name: async with global_prompt_manager.async_message_scope(template_group_name): await preprocess() else: await preprocess() except Exception as e: logger.error(f"预处理消息失败: {e}") traceback.print_exc() # 创建全局ChatBot实例 chat_bot = ChatBot()