Files
agent1/agent1.py
T

236 lines
9.4 KiB
Python

#!/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 on_mqtt_error(client, userdata, msg):
"""Reçoit les erreurs des agents et notifie l'utilisateur via XMPP."""
try:
data = json.loads(msg.payload.decode(errors="replace"))
agent = data.get("agent", "?")
task = data.get("task", "?")
error = data.get("error", "?")
source = data.get("source", "?")
notif = "[ERREUR][{}] Agent : {}\nTâche : {}\nErreur : {}".format(
source.upper(), agent, task[:100], error[:300])
print(notif)
if xmpp_bot:
xmpp_bot.send_message(mto=ADMIN_JID, mbody=notif, mtype='chat')
except Exception as e:
print("[MQTT] Erreur parsing notification : {}".format(e))
def on_mqtt_notification(client, userdata, msg):
"""Reçoit les notifications du scheduler."""
try:
data = json.loads(msg.payload.decode(errors="replace"))
status = data.get("status", "?")
agent = data.get("agent", "?")
task = data.get("task", "?")[:80]
ts = data.get("timestamp", "?")
# Notifier XMPP seulement en cas d'erreur ou de succès important
if status == "error" and xmpp_bot:
notif = "[PLANIF ERREUR] {} | {}{}\nStatut : {}".format(ts, agent, task, status)
xmpp_bot.send_message(mto=ADMIN_JID, mbody=notif, mtype='chat')
except Exception as e:
print("[MQTT] Erreur parsing notification scheduler : {}".format(e))
def on_mqtt_register(client, userdata, msg):
"""Reçoit les déclarations de mise en ligne des agents et met à jour le registre."""
try:
data = json.loads(msg.payload.decode(errors="replace"))
agent = data.get("agent", "?")
jid = data.get("jid", "?")
mqtt_inbox = data.get("mqtt_inbox", "?")
speciality = data.get("speciality", "")
print("[REGISTER] {} en ligne (JID: {}, inbox: {})".format(agent, jid, mqtt_inbox))
# Mettre à jour agents_registry.json
registry_file = CONFIG_DIR / "agents_registry.json"
try:
registry = json.loads(registry_file.read_text(encoding="utf-8"))
except Exception:
registry = {}
is_new = agent not in registry
registry[agent] = {
"jid" : jid,
"mqtt_inbox" : mqtt_inbox,
"mqtt_outbox": "agents/agent1/inbox",
"speciality" : speciality,
}
registry_file.write_text(json.dumps(registry, indent=2, ensure_ascii=False), encoding="utf-8")
if is_new:
print("[REGISTER] {} ajouté au registre.".format(agent))
# Notifier sylvain via XMPP
if xmpp_bot:
status = "NOUVEAU" if is_new else "EN LIGNE"
notif = "[{}] {}\n JID : {}\n MQTT : {}".format(status, agent, jid, mqtt_inbox)
if speciality:
notif += "\n Rôle : {}".format(speciality)
xmpp_bot.send_message(mto=ADMIN_JID, mbody=notif, mtype='chat')
except Exception as e:
print("[MQTT] Erreur parsing register : {}".format(e))
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.message_callback_add("agents/agent1/inbox", on_mqtt_message)
sub.message_callback_add("agents/errors", on_mqtt_error)
sub.message_callback_add("agents/scheduler/notifications", on_mqtt_notification)
sub.message_callback_add("agents/register", on_mqtt_register)
sub.on_message = on_mqtt_message # fallback
sub.connect(MQTT_HOST, MQTT_PORT)
sub.subscribe([
(MQTT_INBOX, 0),
("agents/errors", 0),
("agents/scheduler/notifications", 0),
("agents/register", 0),
])
print("[MQTT] Agent1 écoute sur {}, agents/errors, agents/scheduler/notifications, agents/register".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()