agent1/agent1.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import asyncio
import sys
import threading
import requests
import json
from pathlib import Path
from slixmpp import ClientXMPP
import paho.mqtt.client as mqtt

sys.path.insert(0, "/opt/agent")
from skills.loader import load_skills, run_skills

# ── CONFIG ───────────────────────────────────────────────────────────────
CONFIG_DIR  = Path("/opt/agent/config")
CONFIG_FILE = CONFIG_DIR / "config.json"
PROMPT_FILE = CONFIG_DIR / "system_prompt.txt"

def load_config():
    with open(CONFIG_FILE, "r", encoding="utf-8") as f:
        return json.load(f)

def load_system_prompt():
    with open(PROMPT_FILE, "r", encoding="utf-8") as f:
        return f.read()

cfg           = load_config()
OLLAMA_URL    = cfg["ollama_url"]
MODEL         = cfg["model"]
XMPP_JID      = cfg["xmpp_jid"]
XMPP_PASS     = cfg["xmpp_pass"]
ADMIN_JID     = cfg["admin_jid"]
MQTT_HOST     = cfg.get("mqtt_host", "localhost")
MQTT_PORT     = int(cfg.get("mqtt_port", 1883))
MQTT_INBOX    = "agents/agent1/inbox"
SYSTEM_PROMPT = load_system_prompt()

load_skills()

conversation_history = []
xmpp_bot = None  # référence globale pour répondre via XMPP depuis MQTT

# ── LLM ──────────────────────────────────────────────────────────────────
def call_ollama(messages: list) -> str:
    payload = {
        "model"   : MODEL,
        "messages": messages,
        "stream"  : False,
        "options" : {"temperature": 0.3}
    }
    response = requests.post(OLLAMA_URL, json=payload, timeout=180)
    return response.json()["message"]["content"]

def ask_llm(user_message: str, history: list = None) -> str:
    if history is None:
        history = conversation_history
    history.append({"role": "user", "content": user_message})
    messages = [{"role": "system", "content": SYSTEM_PROMPT}] + history
    try:
        MAX_STEPS = 10
        for _ in range(MAX_STEPS):
            reply = call_ollama(messages)
            skill_triggered, result = run_skills(reply)
            if not skill_triggered:
                history.append({"role": "assistant", "content": reply})
                return reply
            messages.append({"role": "assistant", "content": reply})
            messages.append({"role": "user",      "content": "[Résultat skill]\n" + result})
        reply = call_ollama(messages)
        history.append({"role": "assistant", "content": reply})
        return reply
    except Exception as e:
        err = "Erreur : " + str(e)
        history.append({"role": "assistant", "content": err})
        return err

# ── MQTT LISTENER (pour CLI) ──────────────────────────────────────────────
mqtt_pub_client = None

def mqtt_publish(topic: str, message: str):
    if mqtt_pub_client:
        mqtt_pub_client.publish(topic, message)

def on_mqtt_message(client, userdata, msg):
    raw = msg.payload.decode(errors="replace")

    # Support JSON avec reply_to optionnel
    reply_to = "agents/cli/outbox"
    task = raw
    try:
        data = json.loads(raw)
        task     = data.get("task", raw)
        reply_to = data.get("reply_to", reply_to)
    except json.JSONDecodeError:
        pass

    print("[MQTT] Message CLI reçu : {}".format(task[:80]))
    mqtt_history = []
    reply = ask_llm(task, history=mqtt_history)
    mqtt_publish(reply_to, reply)
    print("[MQTT] Réponse envoyée sur {}".format(reply_to))

def start_mqtt_listener():
    global mqtt_pub_client

    mqtt_pub_client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2,
                                  client_id="agent1_pub")
    mqtt_pub_client.connect(MQTT_HOST, MQTT_PORT)
    mqtt_pub_client.loop_start()

    sub = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2, client_id="agent1_sub")
    sub.on_message = on_mqtt_message
    sub.connect(MQTT_HOST, MQTT_PORT)
    sub.subscribe(MQTT_INBOX)
    print("[MQTT] Agent1 écoute sur {}".format(MQTT_INBOX))
    sub.loop_forever()

# ── BOT XMPP ─────────────────────────────────────────────────────────────
class AgentBot(ClientXMPP):
    def __init__(self):
        ClientXMPP.__init__(self, XMPP_JID, XMPP_PASS)
        self.add_event_handler("session_start", self.session_start)
        self.add_event_handler("message",       self.message)
        self.register_plugin('xep_0030')
        self.register_plugin('xep_0199')

    async def session_start(self, event):
        self.send_presence()
        await self.get_roster()
        self.send_message(mto=ADMIN_JID, mbody="Agent1 (orchestrateur) en ligne !", mtype='chat')

    async def message(self, msg):
        if msg['type'] not in ('chat', 'normal'):
            return
        if str(msg['from']).split('/')[0] != ADMIN_JID:
            return

        user_input = msg['body'].strip()

        if user_input == "!reset":
            conversation_history.clear()
            self.send_message(mto=ADMIN_JID, mbody="Conversation reinitialisee.", mtype='chat')
            return

        loop  = asyncio.get_event_loop()
        reply = await loop.run_in_executor(None, ask_llm, user_input)
        self.send_message(mto=ADMIN_JID, mbody=reply, mtype='chat')

# ── MAIN ─────────────────────────────────────────────────────────────────
if __name__ == "__main__":
    mqtt_thread = threading.Thread(target=start_mqtt_listener, daemon=True)
    mqtt_thread.start()

    xmpp_bot = AgentBot()
    xmpp_bot.connect()
    xmpp_bot.loop.run_forever()