""" AI路由功能注册 将需要通过AI路由的功能在这里注册 """ from .ai_router import ai_router from .context import MessageContext # ======== 提醒功能(一级交给二级路由) ======== @ai_router.register( name="reminder_hub", description="处理提醒相关需求,会进一步判断是创建、查看还是删除提醒,并自动执行。", examples=[ "提醒我明天上午十点开会", "看看今天有哪些提醒", "删除下午三点的提醒" ], params_description="原始提醒类请求内容" ) def ai_handle_reminder_hub(ctx: MessageContext, params: str) -> bool: from .reminder_router import reminder_router from .handlers import handle_reminder, handle_list_reminders, handle_delete_reminder original_text = params.strip() if isinstance(params, str) and params.strip() else ctx.text or "" decision = reminder_router.route(ctx, original_text) if not decision: at_list = ctx.msg.sender if ctx.is_group else "" ctx.send_text("抱歉,暂时无法理解提醒请求,可以换一种说法吗?", at_list) return True action = decision.action payload = decision.params or original_text if action == "list": return handle_list_reminders(ctx, None) if action == "delete": original_content = ctx.msg.content ctx.msg.content = f"删除提醒 {payload}".strip() try: return handle_delete_reminder(ctx, None) finally: ctx.msg.content = original_content # 默认视为创建提醒 original_content = ctx.msg.content ctx.msg.content = payload if payload.startswith("提醒我") else f"提醒我{payload}" try: return handle_reminder(ctx, None) finally: ctx.msg.content = original_content # ======== Perplexity搜索功能 ======== @ai_router.register( name="perplexity_search", description="在网络上搜索任何问题", examples=[ "搜索Python最新特性", '深圳天气咋样' '{"query":"量子计算发展历史的详细研究报告", "deep_research": true}' ], params_description="可直接填写搜索内容;只有当问题确实十分复杂、需要长时间联网深度研究时,才在 params 中使用 JSON 字段,如 {\"query\":\"主题\", \"deep_research\": true},否则保持默认以节省时间和费用。" ) def ai_handle_perplexity(ctx: MessageContext, params: str) -> bool: """AI路由的Perplexity搜索处理""" import json original_params = params deep_research = False query = "" if isinstance(params, dict): query = params.get("query") or params.get("q") or "" mode = params.get("mode") or params.get("research_mode") deep_research = bool( params.get("deep_research") or params.get("full_research") or (isinstance(mode, str) and mode.lower() in {"deep", "full", "research"}) ) else: params = str(params or "").strip() if not params: at_list = ctx.msg.sender if ctx.is_group else "" ctx.send_text("请告诉我你想搜索什么内容", at_list) return True if params.startswith("{"): try: parsed = json.loads(params) if isinstance(parsed, dict): query = parsed.get("query") or parsed.get("q") or "" mode = parsed.get("mode") or parsed.get("research_mode") deep_research = bool( parsed.get("deep_research") or parsed.get("full_research") or (isinstance(mode, str) and mode.lower() in {"deep", "full", "research"}) ) except json.JSONDecodeError: query = params if not query: query = params if not isinstance(query, str): query = str(query or "") query = query.strip() if not query: at_list = ctx.msg.sender if ctx.is_group else "" ctx.send_text("请告诉我你想搜索什么内容", at_list) return True # 获取Perplexity实例 perplexity_instance = getattr(ctx.robot, 'perplexity', None) if not perplexity_instance: ctx.send_text("❌ Perplexity搜索功能当前不可用") return True # 调用Perplexity处理 content_for_perplexity = query chat_id = ctx.get_receiver() sender_wxid = ctx.msg.sender room_id = ctx.msg.roomid if ctx.is_group else None is_group = ctx.is_group was_handled, fallback_prompt = perplexity_instance.process_message( content=content_for_perplexity, chat_id=chat_id, sender=sender_wxid, roomid=room_id, from_group=is_group, send_text_func=ctx.send_text, enable_full_research=deep_research ) # 如果Perplexity无法处理,使用默认AI if not was_handled and fallback_prompt: chat_model = getattr(ctx, 'chat', None) or (getattr(ctx.robot, 'chat', None) if ctx.robot else None) if chat_model: try: import time current_time = time.strftime("%H:%M", time.localtime()) if isinstance(original_params, str): formatted_request = original_params else: try: formatted_request = json.dumps(original_params, ensure_ascii=False) except Exception: formatted_request = str(original_params) q_with_info = f"[{current_time}] {ctx.sender_name}: {formatted_request}" rsp = chat_model.get_answer( question=q_with_info, wxid=ctx.get_receiver(), system_prompt_override=fallback_prompt ) if rsp: at_list = ctx.msg.sender if ctx.is_group else "" ctx.send_text(rsp, at_list) return True except Exception as e: if ctx.logger: ctx.logger.error(f"默认AI处理失败: {e}") return was_handled