import traceback import os import re from typing import Dict, Any, Optional from maim_message import UserInfo 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, ChatStream from src.chat.message_receive.message import MessageRecv, MessageRecvS4U 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 from src.mais4u.mais4u_chat.s4u_msg_processor import S4UMessageProcessor # 导入反注入系统 from src.chat.antipromptinjector import initialize_anti_injector # 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") anti_injector_logger = get_logger("anti_injector") def _check_ban_words(text: str, chat: ChatStream, userinfo: UserInfo) -> 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 = chat.group_info.group_name if chat.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, chat: ChatStream, userinfo: UserInfo) -> 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 """ for pattern in global_config.message_receive.ban_msgs_regex: if re.search(pattern, text): chat_name = chat.group_info.group_name if chat.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 self.s4u_message_processor = S4UMessageProcessor() # 初始化反注入系统 self._initialize_anti_injector() def _initialize_anti_injector(self): """初始化反注入系统""" try: initialize_anti_injector() anti_injector_logger.info(f"反注入系统已初始化 - 启用: {global_config.anti_prompt_injection.enabled}, " f"模式: {global_config.anti_prompt_injection.process_mode}, " f"规则: {global_config.anti_prompt_injection.enabled_rules}, LLM: {global_config.anti_prompt_injection.enabled_LLM}") except Exception as e: anti_injector_logger.error(f"反注入系统初始化失败: {e}") 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_with_new_system(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: # 检查聊天类型限制 if not command_instance.is_chat_type_allowed(): is_group = hasattr(message, 'is_group_message') and message.is_group_message logger.info(f"命令 {command_class.__name__} 不支持当前聊天类型: {'群聊' if is_group else '私聊'}") return False, None, True # 跳过此命令，继续处理其他消息 # 执行命令 success, response, intercept_message = await command_instance.execute() # 记录命令执行结果 if success: logger.info(f"命令执行成功: {command_class.__name__} (拦截: {intercept_message})") 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 intercept_message # 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.info("notice消息") # print(message) return True # 处理适配器响应消息 if hasattr(message, 'message_segment') and message.message_segment: if message.message_segment.type == "adapter_response": await self.handle_adapter_response(message) return True elif message.message_segment.type == "adapter_command": # 适配器命令消息不需要进一步处理 logger.debug("收到适配器命令消息，跳过后续处理") return True return False async def handle_adapter_response(self, message: MessageRecv): """处理适配器命令响应""" try: from src.plugin_system.apis.send_api import put_adapter_response seg_data = message.message_segment.data request_id = seg_data.get("request_id") response_data = seg_data.get("response") if request_id and response_data: logger.debug(f"收到适配器响应: request_id={request_id}") put_adapter_response(request_id, response_data) else: logger.warning("适配器响应消息格式不正确") except Exception as e: logger.error(f"处理适配器响应时出错: {e}") async def do_s4u(self, message_data: Dict[str, Any]): message = MessageRecvS4U(message_data) group_info = message.message_info.group_info user_info = message.message_info.user_info 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) # 处理消息内容 await message.process() await self.s4u_message_processor.process_message(message) return 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: # 首先处理可能的切片消息重组 from src.utils.message_chunker import reassembler # 尝试重组切片消息 reassembled_message = await reassembler.process_chunk(message_data) if reassembled_message is None: # 这是一个切片，但还未完整，等待更多切片 logger.debug("等待更多切片，跳过此次处理") return elif reassembled_message != message_data: # 消息已被重组，使用重组后的消息 logger.info("使用重组后的完整消息进行处理") message_data = reassembled_message # 确保所有任务已启动 await self._ensure_started() platform = message_data["message_info"].get("platform") if platform == "amaidesu_default": await self.do_s4u(message_data) return 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) if await self.handle_notice_message(message): ... group_info = message.message_info.group_info user_info = message.message_info.user_info if message.message_info.additional_config: sent_message = message.message_info.additional_config.get("echo", False) if sent_message: # 这一段只是为了在一切处理前劫持上报的自身消息，用于更新message_id，需要ada支持上报事件，实际测试中不会对正常使用造成任何问题 await MessageStorage.update_message(message) 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) # 处理消息内容，生成纯文本 await message.process() # 过滤检查 if _check_ban_words(message.processed_plain_text, chat, user_info) or _check_ban_regex( # type: ignore message.raw_message, # type: ignore chat, user_info, # type: ignore ): 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_with_new_system(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 if not await events_manager.handle_mai_events(EventType.ON_MESSAGE, message): return # 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()