b782b611a2
- Store complete plan in pending_plans dict - When user confirms, execute stored plan directly - Fixes 0/0 steps issue when confirming
299 lines
12 KiB
Python
299 lines
12 KiB
Python
import os
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import requests
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import asyncio
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from dotenv import load_dotenv
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from telegram import Update
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from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes
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from ai_agent import query_agent
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import speech_recognition as sr
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from pydub import AudioSegment
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from gtts import gTTS
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from orchestrator import handle_message, orchestrate, format_confirmation_message, format_completion_message
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load_dotenv()
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TOKEN = os.getenv("TELEGRAM_BOT_TOKEN")
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ALLOWED_CHAT_ID = os.getenv("TELEGRAM_CHAT_ID")
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ELEVENLABS_KEY = os.getenv("ELEVENLABS_API_KEY")
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VOICE_ID = os.getenv("ELEVENLABS_VOICE_ID")
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def synthesize_audio(text: str) -> str:
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"""Gera áudio local/gratuito usando gTTS e retorna o arquivo."""
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try:
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# Remove caracteres indesejados e emojis que atrapalham a fala
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texto_limpo = text.replace("🤖", "").replace("🧑🏫", "").replace("*", "").replace("`", "")
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filepath = "/tmp/reply_audio.mp3"
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tts = gTTS(text=texto_limpo, lang='pt-br', tld='com.br', slow=False)
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tts.save(filepath)
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return filepath
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except Exception as e:
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print(f"Erro ao gerar voz tts: {e}")
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return ""
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async def auth_check(update: Update) -> bool:
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"""Verifica se o usuário que enviou a mensagem é o Marcos (Chat ID autorizado)."""
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if str(update.message.chat_id) != ALLOWED_CHAT_ID:
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await update.message.reply_text("Acesso negado. Você não tem permissão para controlar esta VPS.")
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return False
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return True
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async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
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if not await auth_check(update): return
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await update.message.reply_text("👋 Olá, Marcos! Antigravity VPS Agent online e pronto para receber comandos.")
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# Memória persistente da conversa (em memória RAM)
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chat_histories = {}
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# Armazena planos pendentes de confirmação
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pending_plans = {}
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async def handle_text(update: Update, context: ContextTypes.DEFAULT_TYPE):
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if not await auth_check(update): return
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chat_id = update.message.chat_id
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user_msg = update.message.text
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await update.message.reply_chat_action(action="typing")
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# =====================================================
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# COMANDOS DO ORCHESTRATOR
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# =====================================================
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if user_msg.startswith('/orchestrate'):
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# Força uso do orchestrator
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task = user_msg.replace('/orchestrate', '').strip()
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result = orchestrate(task, user_confirmed=False)
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if result["status"] == "needs_confirmation":
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reply = format_confirmation_message(result)
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else:
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reply = format_completion_message(result)
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await update.message.reply_text(reply)
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return
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if user_msg.startswith('/status') and not user_msg.startswith('/statusall'):
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# Status do orchestrator
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reply = handle_message('/status')
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await update.message.reply_text(reply)
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return
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if user_msg.startswith('/tools'):
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# Lista de ferramentas
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reply = handle_message('/tools')
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await update.message.reply_text(reply)
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return
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if user_msg.startswith('/sync'):
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# Sync de credenciais
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reply = handle_message('/sync')
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await update.message.reply_text(reply)
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return
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if user_msg.lower() in ['sim', 'confirmar', 'confirma', 'sim!', 'confirma!', 's']:
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# Verifica se há confirmação pendente
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plan_key = f"plan_{chat_id}"
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if plan_key in pending_plans:
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plan = pending_plans[plan_key]
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del pending_plans[plan_key]
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# Executa o plano usando execute_plan
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from orchestrator import execute_step
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results = []
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for step in plan.get("steps", []):
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result = execute_step(step)
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results.append(result)
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# Para em erro crítico
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if not result.get("success") and step.get("danger") == "dangerous":
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results.append({
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"success": False,
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"output": "Execucao abortada.",
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"step": -1
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})
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break
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# Formata resultado
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plan_result = {
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"status": "completed",
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"plan": plan,
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"results": results
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}
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reply = format_completion_message(plan_result)
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await update.message.reply_text(reply)
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return
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if user_msg.lower() in ['nao', 'não', 'cancelar', 'cancela', 'n', 'n!']:
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# Cancela confirmação pendente
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plan_key = f"plan_{chat_id}"
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if plan_key in pending_plans:
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del pending_plans[plan_key]
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await update.message.reply_text("Operacao cancelada.")
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return
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await update.message.reply_text("Nada pendente para cancelar.")
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return
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# =====================================================
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# ORCHESTRATOR: Detecta tarefas de orquestração
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# =====================================================
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orchestrator_keywords = ['deploy', 'restart', 'restartar', 'reiniciar',
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'git pull', 'git push', 'docker', 'container',
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'mostra status', 'status dos', 'verificar',
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'faz um', 'executa', 'roda', 'rodar',
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'atualiza', 'atualizar', 'backup']
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is_orchestrator_task = any(kw in user_msg.lower() for kw in orchestrator_keywords)
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if is_orchestrator_task:
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result = orchestrate(user_msg, user_confirmed=False)
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if result["status"] == "needs_confirmation":
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# Salva plano pendente
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plan_key = f"plan_{chat_id}"
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pending_plans[plan_key] = result["plan"]
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reply = format_confirmation_message(result)
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reply += "\n\nResponda *sim* para confirmar ou *nao* para cancelar."
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else:
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reply = format_completion_message(result)
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await update.message.reply_text(reply)
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return
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# =====================================================
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# FALLBACK: Usa o agente normal (ai_agent.py)
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# =====================================================
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history = chat_histories.get(chat_id, [])
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from config import get_config
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cfg = get_config()
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reply = query_agent(prompt=user_msg, override_provider=cfg.get("active_provider"), chat_history=history)
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# Atualiza histórico
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history.append({"user": user_msg, "bot": reply})
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chat_histories[chat_id] = history[-10:]
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# Se o usuário pedir ativamente por áudio no texto
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if "áudio" in user_msg.lower() or "audio" in user_msg.lower() or "voz" in user_msg.lower():
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await update.message.reply_chat_action(action="record_voice")
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audio_path = synthesize_audio(reply)
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if audio_path:
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await update.message.reply_voice(voice=open(audio_path, 'rb'))
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return
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# --- NOVO: Lógica para enviar IMAGENS se a IA localizou um arquivo ---
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import re
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img_matches = re.findall(r'!\[.*?\]\((/.*?)\)', reply)
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if not img_matches:
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img_matches = re.findall(r'(/[^\s]+?\.(?:jpg|jpeg|png|gif|webp))', reply, re.IGNORECASE)
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if img_matches:
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for img_path in img_matches:
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real_path = img_path
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if not real_path.startswith("/host_root") and real_path.startswith("/root"):
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real_path = f"/host_root{real_path}"
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if os.path.exists(real_path):
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try:
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await update.message.reply_chat_action(action="upload_photo")
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await update.message.reply_photo(photo=open(real_path, 'rb'), caption="Imagem localizada na VPS")
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except Exception as e:
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print(f"Erro ao enviar imagem {real_path}: {e}")
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await update.message.reply_text(reply)
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async def handle_voice(update: Update, context: ContextTypes.DEFAULT_TYPE):
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if not await auth_check(update): return
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await update.message.reply_chat_action(action="record_voice")
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# Baixa o aúdio do telegram
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voice_file = await update.message.voice.get_file()
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ogg_path = "/tmp/voice.ogg"
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wav_path = "/tmp/voice.wav"
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await voice_file.download_to_drive(ogg_path)
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# Converte para WAV (Requer ffmpeg instalado na maquina)
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try:
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audio = AudioSegment.from_ogg(ogg_path)
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audio.export(wav_path, format="wav")
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except Exception as e:
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await update.message.reply_text(f"Erro ao processar áudio (O ffmpeg está instalado na VPS?): {e}")
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return
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# Usando SpeechRecognition nativo para transcrever (pode usar Whisper no Ollama depois)
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recognizer = sr.Recognizer()
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with sr.AudioFile(wav_path) as source:
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audio_data = recognizer.record(source)
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try:
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text = recognizer.recognize_google(audio_data, language="pt-BR")
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await update.message.reply_text(f"🗣️ Reconhecido: _{text}_", parse_mode="Markdown")
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# Busca histórico anterior
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chat_id = update.message.chat_id
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history = chat_histories.get(chat_id, [])
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# Envia o texto reconhecido para o Agente (respeitando a configuração ativa)
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from config import get_config
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cfg = get_config()
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reply = query_agent(prompt=text, override_provider=cfg.get("active_provider"), chat_history=history)
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# Atualiza histórico
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history.append({"user": text, "bot": reply})
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chat_histories[chat_id] = history[-10:]
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# Sintetiza com ElevenLabs e responde com Áudio
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audio_path = synthesize_audio(reply)
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if audio_path:
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await update.message.reply_voice(voice=open(audio_path, 'rb'))
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else:
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await update.message.reply_text(reply)
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except sr.UnknownValueError:
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await update.message.reply_text("Não consegui entender o que foi dito no áudio.")
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except sr.RequestError as e:
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await update.message.reply_text(f"Erro no serviço de STT: {e}")
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async def llm_command(update: Update, context: ContextTypes.DEFAULT_TYPE):
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if not await auth_check(update): return
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args = context.args
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from config import get_config, save_config
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if not args:
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cfg = get_config()
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await update.message.reply_text(f"Comando incompleto. Use: /llm gemini ou /llm ollama.\n*Status Atual:* {cfg.get('active_provider').upper()}")
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return
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new_model = args[0].lower()
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if new_model in ["gemini", "ollama"]:
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cfg = get_config()
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cfg["active_provider"] = new_model
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save_config(cfg)
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await update.message.reply_text(f"✅ Inteligência Artificial comutada com sucesso para: *{new_model.upper()}*")
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else:
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await update.message.reply_text("Modelos disponíveis: gemini ou ollama.")
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async def clear_history(update: Update, context: ContextTypes.DEFAULT_TYPE):
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if not await auth_check(update): return
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chat_id = update.message.chat_id
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if chat_id in chat_histories:
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chat_histories[chat_id] = []
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await update.message.reply_text("🧹 Memória limpa com sucesso!")
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else:
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await update.message.reply_text("A memória já está vazia.")
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def get_telegram_app():
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if not TOKEN:
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raise ValueError("TELEGRAM_BOT_TOKEN não encontrado no .env")
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app = Application.builder().token(TOKEN).build()
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app.add_handler(CommandHandler("start", start))
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app.add_handler(CommandHandler("llm", llm_command))
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app.add_handler(CommandHandler("limpar", clear_history))
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app.add_handler(CommandHandler("status", lambda u, c: handle_text(u, c))) # Alias para status
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app.add_handler(CommandHandler("tools", lambda u, c: handle_text(u, c))) # Alias para tools
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app.add_handler(CommandHandler("sync", lambda u, c: handle_text(u, c))) # Alias para sync
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app.add_handler(CommandHandler("orchestrate", lambda u, c: handle_text(u, c))) # Orchestrate
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app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_text))
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app.add_handler(MessageHandler(filters.VOICE, handle_voice))
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return app
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# Para testes rápidos se rodado standalone
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if __name__ == "__main__":
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print("--- INICIANDO BOT TELEGRAM (POLLING) ---")
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print("Limpando Webhooks e mensagens pendentes para evitar CONFLITOS...")
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app = get_telegram_app()
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# drop_pending_updates=True limpa a fila e desativa webhooks automaticamente
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app.run_polling(drop_pending_updates=True)
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