sylvain
bdcfff9f8e
- Réception logs MQTT depuis machines distantes (agents/logwatch/+/logs) - Pré-filtrage sans LLM (14 patterns: ERROR, FATAL, OOM, segfault, auth fail...) - Analyse LLM par créneau horaire configurable (APScheduler) - Gestion round-robin avec reprise sur interruption - Extension de créneau (+30 min) avec confirmation admin - Skills: machine (gestion machines) + logwatch (contrôle) - Script send_logs.sh pour machines distantes Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
678 lines
29 KiB
Python
678 lines
29 KiB
Python
#!/usr/bin/env python3
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"""
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Agent LogWatch — Analyse de logs multi-machines avec fenêtre horaire programmée.
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Les machines distantes envoient leurs logs via MQTT vers agents/logwatch/<hostname>/logs.
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L'agent pré-filtre (sans LLM), stocke en SQLite, puis analyse avec le LLM
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pendant les créneaux horaires configurés.
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"""
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import json
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import logging
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import os
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import re
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import sqlite3
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import threading
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import time
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from datetime import datetime, timedelta
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from pathlib import Path
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from agents_core import BaseAgent, AgentContext, Message, MessageType
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logger = logging.getLogger(__name__)
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# ─── Pré-filtres sans LLM ────────────────────────────────────────────────────
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FILTER_PATTERNS = [
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re.compile(r'\b(ERROR|CRITICAL|FATAL|PANIC|EMERG|ALERT|CRIT)\b'),
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re.compile(r'\bException\b|\bTraceback\b|\bTraceback \(most recent'),
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re.compile(r'\bsegfault\b|\bSegmentation fault\b', re.IGNORECASE),
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re.compile(r'\bout of memory\b|\bOOM killer\b|\bOOM-killer\b', re.IGNORECASE),
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re.compile(r'\b(failed|failure)\b', re.IGNORECASE),
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re.compile(r'\bkilled\b', re.IGNORECASE),
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re.compile(r'\b(BUG|Oops):\s'),
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re.compile(r'<[0-3]>'), # syslog priorities 0=emerg, 1=alert, 2=crit, 3=err
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re.compile(r'\bcore dumped\b', re.IGNORECASE),
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re.compile(r'\bpanic\b', re.IGNORECASE),
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re.compile(r'\bdenied\b.*\bpermission\b|\bpermission\b.*\bdenied\b', re.IGNORECASE),
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re.compile(r'\bauthentication failure\b|\bfailed login\b|\bfailed password\b', re.IGNORECASE),
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re.compile(r'\bdisk full\b|\bno space left\b', re.IGNORECASE),
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re.compile(r'\bconnection refused\b|\bconnection timed out\b', re.IGNORECASE),
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re.compile(r'\bssh.*invalid user\b|\binvalid user.*ssh\b', re.IGNORECASE),
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]
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SEVERITY_RANK = {
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'EMERG': 0, 'ALERT': 1, 'CRIT': 2, 'CRITICAL': 2, 'FATAL': 2, 'PANIC': 2,
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'ERROR': 3, 'ERR': 3,
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'FAILED': 4, 'FAILURE': 4, 'DENIED': 4,
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'EXCEPTION': 5, 'TRACEBACK': 5,
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'KILLED': 6, 'OOM': 6, 'SEGFAULT': 6, 'CORE': 6,
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}
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CHUNK_SIZE = 150 # lignes envoyées au LLM par appel
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def _detect_severity(line: str) -> str:
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line_up = line.upper()
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for kw, _ in sorted(SEVERITY_RANK.items(), key=lambda x: x[1]):
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if kw in line_up:
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return kw
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return 'ERROR'
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class LogWatchAgent(BaseAgent):
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AGENT_TYPE = "logwatch"
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DESCRIPTION = (
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"Analyse de logs multi-machines. Reçoit les logs des machines distantes via MQTT, "
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"pré-filtre les erreurs, les analyse avec le LLM pendant les créneaux programmés, "
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"envoie des rapports par XMPP. Gestion de file de machines, round-robin, "
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"reprise sur interruption et analyse à la demande."
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)
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DEFAULT_CONFIG_PATH = "/opt/agent_logwatch/config/config.json"
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def get_skills_dir(self) -> str:
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return os.path.join(os.path.dirname(__file__), "skills")
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# ─── Init ─────────────────────────────────────────────────────────────────
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def __init__(self, config_path=None):
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super().__init__(config_path)
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self.db_path = Path(self.config.get("db_path", "/opt/agent_logwatch/data/logwatch.db"))
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self.db_path.parent.mkdir(parents=True, exist_ok=True)
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self._db_lock = threading.Lock()
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self._init_db()
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# Scheduler APScheduler
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try:
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from apscheduler.schedulers.background import BackgroundScheduler
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self._scheduler = BackgroundScheduler(timezone="Europe/Paris")
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except ImportError:
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logger.error("apscheduler non installé — `pip install apscheduler`")
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self._scheduler = None
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# État analyse
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self._analysis_thread = None
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self._analysis_stop = threading.Event()
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self._slot_end_time = None
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# Extension demandée
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self._pending_extension = None # dict: {machine_id, hostname}
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self._extension_event = threading.Event()
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self._extension_granted = False
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# ─── DB ───────────────────────────────────────────────────────────────────
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def _get_db(self) -> sqlite3.Connection:
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conn = sqlite3.connect(str(self.db_path), timeout=10)
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conn.row_factory = sqlite3.Row
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return conn
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def _init_db(self):
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with self._get_db() as conn:
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conn.executescript("""
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CREATE TABLE IF NOT EXISTS machines (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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hostname TEXT UNIQUE NOT NULL,
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registered_at TEXT NOT NULL,
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last_log_at TEXT,
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last_analyzed_at TEXT,
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queue_position INTEGER DEFAULT 0,
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active INTEGER DEFAULT 1
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);
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CREATE TABLE IF NOT EXISTS filtered_logs (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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machine_id INTEGER NOT NULL,
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log_line TEXT NOT NULL,
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severity TEXT,
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received_at TEXT NOT NULL,
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analyzed INTEGER DEFAULT 0,
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FOREIGN KEY (machine_id) REFERENCES machines(id)
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);
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CREATE INDEX IF NOT EXISTS idx_fl_machine_analyzed
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ON filtered_logs(machine_id, analyzed);
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CREATE TABLE IF NOT EXISTS analysis_sessions (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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machine_id INTEGER NOT NULL,
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slot_date TEXT NOT NULL,
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status TEXT DEFAULT 'pending',
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started_at TEXT,
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completed_at TEXT,
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last_log_id INTEGER DEFAULT 0,
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UNIQUE(machine_id, slot_date),
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FOREIGN KEY (machine_id) REFERENCES machines(id)
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);
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CREATE TABLE IF NOT EXISTS agent_config (
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key TEXT PRIMARY KEY,
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value TEXT NOT NULL
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);
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INSERT OR IGNORE INTO agent_config VALUES ('analysis_start', '02:00');
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INSERT OR IGNORE INTO agent_config VALUES ('analysis_end', '04:00');
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INSERT OR IGNORE INTO agent_config VALUES ('max_overage_minutes', '30');
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INSERT OR IGNORE INTO agent_config VALUES ('enabled', '1');
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INSERT OR IGNORE INTO agent_config VALUES ('log_retention_days', '7');
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""")
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def _cfg(self, key: str, default: str = '') -> str:
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with self._get_db() as conn:
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row = conn.execute("SELECT value FROM agent_config WHERE key=?", (key,)).fetchone()
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return row['value'] if row else default
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def _set_cfg(self, key: str, value: str):
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with self._get_db() as conn:
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conn.execute("INSERT OR REPLACE INTO agent_config VALUES (?,?)", (key, value))
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# ─── Démarrage ────────────────────────────────────────────────────────────
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def on_start(self):
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# Souscriptions MQTT pour recevoir les logs des machines distantes
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self.mqtt.subscribe("agents/logwatch/+/logs", self._on_log_received)
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self.mqtt.subscribe("agents/logwatch/register", self._on_machine_register)
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# Démarrage du scheduler
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if self._scheduler:
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self._reload_schedule()
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self._scheduler.start()
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logger.info("Scheduler APScheduler démarré.")
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# Nettoyage des vieux logs au démarrage
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self._cleanup_old_logs()
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logger.info("Agent LogWatch démarré. En attente de logs sur agents/logwatch/+/logs")
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def setup_extra_subscriptions(self):
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pass # tout est dans on_start
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# ─── Réception des logs ──────────────────────────────────────────────────
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def _on_machine_register(self, msg, topic: str):
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"""Enregistrement explicite d'une machine via MQTT."""
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payload = msg.payload if hasattr(msg, 'payload') else str(msg)
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try:
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data = json.loads(payload) if isinstance(payload, str) else payload
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hostname = str(data.get('hostname', '')).strip()
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if hostname:
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self._register_machine(hostname)
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except Exception as e:
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logger.error(f"[register] {e}")
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def _on_log_received(self, msg, topic: str):
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"""
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Reçoit des logs bruts depuis une machine distante.
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Topic : agents/logwatch/<hostname>/logs
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Payload JSON : {"lines": [...]} ou {"log": "..."} ou texte brut multiligne
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"""
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payload = msg.payload if hasattr(msg, 'payload') else str(msg)
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try:
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parts = topic.split('/')
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hostname = parts[2] if len(parts) >= 4 else 'unknown'
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# Parser le payload
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if isinstance(payload, str):
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try:
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data = json.loads(payload)
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if isinstance(data, dict):
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lines = data.get('lines') or data.get('logs') or []
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if isinstance(lines, str):
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lines = lines.splitlines()
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if not lines and 'log' in data:
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lines = str(data['log']).splitlines()
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elif isinstance(data, list):
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lines = data
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else:
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lines = payload.splitlines()
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except json.JSONDecodeError:
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lines = payload.splitlines()
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elif isinstance(payload, bytes):
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lines = payload.decode('utf-8', errors='replace').splitlines()
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else:
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lines = []
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if not lines:
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return
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machine_id = self._register_machine(hostname)
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filtered = self._prefilter(lines)
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if filtered:
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now = datetime.now().isoformat()
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with self._get_db() as conn:
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conn.executemany(
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"INSERT INTO filtered_logs (machine_id, log_line, severity, received_at) VALUES (?,?,?,?)",
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[(machine_id, line, sev, now) for line, sev in filtered]
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)
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conn.execute(
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"UPDATE machines SET last_log_at=? WHERE id=?",
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(now, machine_id)
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)
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logger.info(f"[{hostname}] {len(filtered)}/{len(lines)} lignes filtrées conservées")
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except Exception as e:
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logger.error(f"[_on_log_received] {e}", exc_info=True)
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def _prefilter(self, lines: list) -> list:
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"""Filtre les lignes, retourne [(line, severity)]."""
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result = []
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for line in lines:
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line = str(line).strip()
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if not line:
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continue
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for pat in FILTER_PATTERNS:
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if pat.search(line):
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result.append((line, _detect_severity(line)))
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break
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return result
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def _register_machine(self, hostname: str) -> int:
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"""Enregistre ou met à jour une machine, retourne son id."""
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with self._get_db() as conn:
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row = conn.execute("SELECT id FROM machines WHERE hostname=?", (hostname,)).fetchone()
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if row:
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return row['id']
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max_pos = conn.execute(
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"SELECT COALESCE(MAX(queue_position), 0) FROM machines"
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).fetchone()[0]
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cur = conn.execute(
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"INSERT INTO machines (hostname, registered_at, queue_position) VALUES (?,?,?)",
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(hostname, datetime.now().isoformat(), max_pos + 1)
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)
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logger.info(f"Nouvelle machine enregistrée: {hostname} (pos={max_pos+1})")
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return cur.lastrowid
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# ─── Scheduler ────────────────────────────────────────────────────────────
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def _reload_schedule(self):
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"""(Re)programme les jobs APScheduler selon la config DB."""
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if not self._scheduler:
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return
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for job_id in ('_slot_start', '_slot_end'):
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try:
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self._scheduler.remove_job(job_id)
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except Exception:
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pass
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if self._cfg('enabled') != '1':
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logger.info("Analyse automatique désactivée.")
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return
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start_str = self._cfg('analysis_start', '02:00')
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end_str = self._cfg('analysis_end', '04:00')
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try:
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sh, sm = map(int, start_str.split(':'))
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eh, em = map(int, end_str.split(':'))
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except ValueError:
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logger.error(f"Format horaire invalide: {start_str}/{end_str}")
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return
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self._scheduler.add_job(
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self._start_slot, 'cron', hour=sh, minute=sm, id='_slot_start'
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)
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self._scheduler.add_job(
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self._signal_slot_end, 'cron', hour=eh, minute=em, id='_slot_end'
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)
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logger.info(f"Analyse programmée: {start_str} → {end_str}")
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def _start_slot(self):
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"""Démarre la fenêtre d'analyse (appelé par APScheduler)."""
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end_str = self._cfg('analysis_end', '04:00')
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eh, em = map(int, end_str.split(':'))
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now = datetime.now()
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self._slot_end_time = now.replace(hour=eh, minute=em, second=0, microsecond=0)
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if self._slot_end_time <= now:
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self._slot_end_time += timedelta(days=1)
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self._analysis_stop.clear()
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self._analysis_thread = threading.Thread(
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target=self._analysis_loop, daemon=True, name="logwatch-analysis"
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)
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self._analysis_thread.start()
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logger.info(f"Créneau d'analyse démarré → fin à {self._slot_end_time.strftime('%H:%M')}")
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def _signal_slot_end(self):
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"""Signale la fin du créneau (appelé par APScheduler)."""
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logger.info("Fin de créneau signalée.")
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self._analysis_stop.set()
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# ─── Boucle d'analyse ────────────────────────────────────────────────────
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def _analysis_loop(self):
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"""Thread principal d'analyse, tourne pendant le créneau."""
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try:
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machines = self._get_active_machines()
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if not machines:
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self._notify_admin("📭 LogWatch: aucune machine enregistrée à analyser.")
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return
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start_idx = self._find_resume_index(machines)
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total = len(machines)
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for i in range(total):
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idx = (start_idx + i) % total
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machine = machines[idx]
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mid = machine['id']
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host = machine['hostname']
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# Vérifier si le créneau est terminé avant de commencer une machine
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if self._analysis_stop.is_set():
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overage_min = self._overage_minutes()
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max_ov = int(self._cfg('max_overage_minutes', '30'))
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if overage_min > max_ov:
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# Demander extension
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if not self._ask_extension(mid, host, overage_min):
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# Refusée ou timeout → pause
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self._set_session_status(mid, 'paused')
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self._notify_admin(
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f"⏸️ LogWatch: analyse de **{host}** reportée au prochain créneau."
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)
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break
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self._analyze_machine(mid, host)
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else:
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# Boucle complète sans interruption
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self._notify_admin(
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f"✅ LogWatch: analyse complète de {total} machine(s) terminée."
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)
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except Exception as e:
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logger.error(f"[analysis_loop] {e}", exc_info=True)
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self._notify_admin(f"❌ LogWatch: erreur dans la boucle d'analyse: {e}")
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def _get_active_machines(self) -> list:
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with self._get_db() as conn:
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rows = conn.execute(
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"SELECT id, hostname, queue_position FROM machines "
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"WHERE active=1 ORDER BY queue_position ASC"
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).fetchall()
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return [dict(r) for r in rows]
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def _find_resume_index(self, machines: list) -> int:
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"""Trouve l'index de la machine à reprendre (paused) ou commence à 0."""
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today = datetime.now().strftime('%Y-%m-%d')
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with self._get_db() as conn:
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row = conn.execute("""
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SELECT machine_id FROM analysis_sessions
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WHERE slot_date=? AND status='paused'
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ORDER BY id DESC LIMIT 1
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""", (today,)).fetchone()
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if not row:
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return 0
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paused_id = row['machine_id']
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for i, m in enumerate(machines):
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if m['id'] == paused_id:
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return i
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return 0
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def _overage_minutes(self) -> float:
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"""Retourne les minutes de dépassement (positif = dépassement)."""
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if not self._slot_end_time:
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return 0.0
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delta = (datetime.now() - self._slot_end_time).total_seconds() / 60
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return max(0.0, delta)
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def _ask_extension(self, machine_id: int, hostname: str, overage: float) -> bool:
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"""
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Demande à l'admin une extension du créneau.
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Attend la réponse (max 10 min).
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Retourne True si extension accordée.
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"""
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max_ov = int(self._cfg('max_overage_minutes', '30'))
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self._pending_extension = {'machine_id': machine_id, 'hostname': hostname}
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self._extension_event.clear()
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self._extension_granted = False
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self._notify_admin(
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f"⏰ LogWatch: créneau terminé (dépassement {overage:.0f} min > max {max_ov} min).\n"
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f"Analyse en cours: **{hostname}** non terminée.\n"
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f"Tapez `/extend` pour accorder +{max_ov} min supplémentaires, "
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f"ou `/skip` pour reporter au prochain créneau."
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)
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# Attendre la réponse max 10 minutes
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answered = self._extension_event.wait(timeout=600)
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self._pending_extension = None
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if not answered:
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self._notify_admin(
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f"⏰ LogWatch: pas de réponse après 10 min → analyse de **{hostname}** reportée."
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)
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return False
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return self._extension_granted
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# ─── Analyse d'une machine ───────────────────────────────────────────────
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def _analyze_machine(self, machine_id: int, hostname: str):
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"""Analyse les logs filtrés d'une machine avec le LLM."""
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today = datetime.now().strftime('%Y-%m-%d')
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# Créer ou récupérer la session d'analyse
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with self._get_db() as conn:
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session = conn.execute(
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"SELECT id, last_log_id FROM analysis_sessions "
|
||
"WHERE machine_id=? AND slot_date=? AND status IN ('pending','paused')",
|
||
(machine_id, today)
|
||
).fetchone()
|
||
|
||
if session:
|
||
session_id = session['id']
|
||
last_log_id = session['last_log_id']
|
||
conn.execute(
|
||
"UPDATE analysis_sessions SET status='in_progress', started_at=? WHERE id=?",
|
||
(datetime.now().isoformat(), session_id)
|
||
)
|
||
else:
|
||
# Vérifier si déjà 'done' aujourd'hui
|
||
done = conn.execute(
|
||
"SELECT id FROM analysis_sessions WHERE machine_id=? AND slot_date=? AND status='done'",
|
||
(machine_id, today)
|
||
).fetchone()
|
||
if done:
|
||
logger.info(f"[{hostname}] déjà analysée aujourd'hui.")
|
||
return
|
||
|
||
conn.execute(
|
||
"INSERT INTO analysis_sessions (machine_id, slot_date, status, started_at) VALUES (?,?,?,?)",
|
||
(machine_id, today, 'in_progress', datetime.now().isoformat())
|
||
)
|
||
session_id = conn.execute("SELECT last_insert_rowid()").fetchone()[0]
|
||
last_log_id = 0
|
||
|
||
# Récupérer les logs filtrés non encore analysés
|
||
with self._get_db() as conn:
|
||
logs = conn.execute(
|
||
"SELECT id, log_line, severity, received_at FROM filtered_logs "
|
||
"WHERE machine_id=? AND id > ? AND analyzed=0 ORDER BY id ASC",
|
||
(machine_id, last_log_id)
|
||
).fetchall()
|
||
|
||
if not logs:
|
||
logger.info(f"[{hostname}] Aucun log filtré à analyser.")
|
||
self._set_session_status(machine_id, 'done', session_id=session_id)
|
||
return
|
||
|
||
self._notify_admin(
|
||
f"🔍 LogWatch: analyse de **{hostname}** ({len(logs)} erreurs filtrées)…"
|
||
)
|
||
|
||
all_reports = []
|
||
last_id = last_log_id
|
||
logs_list = [dict(r) for r in logs]
|
||
|
||
for chunk_start in range(0, len(logs_list), CHUNK_SIZE):
|
||
# Vérifier dépassement dans la boucle de chunks
|
||
if self._analysis_stop.is_set():
|
||
overage = self._overage_minutes()
|
||
max_ov = int(self._cfg('max_overage_minutes', '30'))
|
||
if overage > max_ov:
|
||
# Sauvegarder le point de reprise
|
||
with self._get_db() as conn:
|
||
conn.execute(
|
||
"UPDATE analysis_sessions SET status='paused', last_log_id=? WHERE id=?",
|
||
(last_id, session_id)
|
||
)
|
||
self._notify_admin(
|
||
f"⏸️ LogWatch: pause mid-analyse de **{hostname}** "
|
||
f"(dépassement {overage:.0f} min). Reprise au prochain créneau."
|
||
)
|
||
return
|
||
|
||
chunk = logs_list[chunk_start:chunk_start + CHUNK_SIZE]
|
||
chunk_txt = '\n'.join(
|
||
f"[{r['received_at'][:19]}][{r['severity']}] {r['log_line']}"
|
||
for r in chunk
|
||
)
|
||
|
||
prompt = (
|
||
f"Tu analyses des logs d'erreurs de la machine **{hostname}**.\n"
|
||
f"Synthétise les problèmes importants : type d'erreur, criticité (critique/haute/moyenne), "
|
||
f"fréquence, cause probable, action recommandée.\n"
|
||
f"Ne répète pas chaque ligne individuellement. Groupe les erreurs similaires.\n"
|
||
f"Format de réponse : 🔴/🟠/🟡 Problème → Cause → Action\n\n"
|
||
f"Logs ({chunk_start+1}–{min(chunk_start+CHUNK_SIZE, len(logs_list))}):\n{chunk_txt}"
|
||
)
|
||
|
||
report_chunk = self._call_llm(prompt)
|
||
if report_chunk:
|
||
all_reports.append(report_chunk)
|
||
|
||
# Marquer comme analysés + mise à jour offset
|
||
ids = [r['id'] for r in chunk]
|
||
last_id = ids[-1]
|
||
with self._get_db() as conn:
|
||
conn.execute(
|
||
f"UPDATE filtered_logs SET analyzed=1 WHERE id IN ({','.join('?'*len(ids))})",
|
||
ids
|
||
)
|
||
conn.execute(
|
||
"UPDATE analysis_sessions SET last_log_id=? WHERE id=?",
|
||
(last_id, session_id)
|
||
)
|
||
|
||
# Rapport final
|
||
if all_reports:
|
||
report = (
|
||
f"📊 **Rapport LogWatch — {hostname}**\n"
|
||
f"📅 {datetime.now().strftime('%Y-%m-%d %H:%M')} | "
|
||
f"{len(logs_list)} erreurs analysées\n"
|
||
f"{'─'*40}\n\n"
|
||
)
|
||
report += '\n\n'.join(all_reports)
|
||
self._notify_admin(report)
|
||
else:
|
||
self._notify_admin(f"ℹ️ LogWatch: **{hostname}** — LLM n'a pas retourné de rapport.")
|
||
|
||
# Marquer la session comme terminée
|
||
with self._get_db() as conn:
|
||
conn.execute(
|
||
"UPDATE analysis_sessions SET status='done', completed_at=?, last_log_id=? WHERE id=?",
|
||
(datetime.now().isoformat(), last_id, session_id)
|
||
)
|
||
conn.execute(
|
||
"UPDATE machines SET last_analyzed_at=? WHERE id=?",
|
||
(datetime.now().isoformat(), machine_id)
|
||
)
|
||
|
||
def _set_session_status(self, machine_id: int, status: str, session_id: int = None):
|
||
today = datetime.now().strftime('%Y-%m-%d')
|
||
with self._get_db() as conn:
|
||
if session_id:
|
||
conn.execute(
|
||
"UPDATE analysis_sessions SET status=? WHERE id=?",
|
||
(status, session_id)
|
||
)
|
||
else:
|
||
conn.execute(
|
||
"UPDATE analysis_sessions SET status=? WHERE machine_id=? AND slot_date=?",
|
||
(status, machine_id, today)
|
||
)
|
||
|
||
# ─── LLM ─────────────────────────────────────────────────────────────────
|
||
|
||
def _call_llm(self, prompt: str) -> str:
|
||
"""Appelle le LLM en respectant le lock BaseAgent."""
|
||
lock = getattr(self, '_llm_lock', None)
|
||
acquired = False
|
||
try:
|
||
if lock:
|
||
acquired = lock.acquire(timeout=300)
|
||
if not acquired:
|
||
return "(LLM indisponible après 5 min d'attente)"
|
||
self.llm.reset_history()
|
||
return self.llm.chat(prompt)
|
||
except Exception as e:
|
||
logger.error(f"[LLM] {e}")
|
||
return f"(Erreur LLM: {e})"
|
||
finally:
|
||
if acquired and lock:
|
||
lock.release()
|
||
|
||
# ─── XMPP helpers ────────────────────────────────────────────────────────
|
||
|
||
def _notify_admin(self, message: str):
|
||
"""Envoie un message à tous les admins XMPP."""
|
||
try:
|
||
if self.xmpp:
|
||
self.xmpp.send_to_all_admins(message)
|
||
except Exception as e:
|
||
logger.error(f"[notify_admin] {e}")
|
||
|
||
# ─── Commandes custom (/extend, /skip, /update) ──────────────────────────
|
||
|
||
def handle_custom_command(self, cmd: str, args: str, source_msg=None):
|
||
cmd_lower = cmd.lower()
|
||
|
||
# Réponse à une demande d'extension de créneau
|
||
if self._pending_extension:
|
||
if cmd_lower == 'extend':
|
||
self._extension_granted = True
|
||
self._extension_event.set()
|
||
max_ov = self._cfg('max_overage_minutes', '30')
|
||
return f"⏱️ Extension accordée (+{max_ov} min). L'analyse continue."
|
||
if cmd_lower == 'skip':
|
||
self._extension_granted = False
|
||
self._extension_event.set()
|
||
return "⏸️ Analyse reportée au prochain créneau."
|
||
|
||
if cmd_lower == 'update':
|
||
return self._self_update()
|
||
|
||
return f"Commande inconnue : /{cmd}"
|
||
|
||
def on_broadcast(self, msg: Message):
|
||
pass
|
||
|
||
def _self_update(self) -> str:
|
||
import subprocess
|
||
try:
|
||
out = subprocess.check_output(
|
||
"cd /opt/agent_logwatch && git pull",
|
||
shell=True, text=True, stderr=subprocess.STDOUT
|
||
)
|
||
subprocess.Popen(["systemctl", "restart", "agent_logwatch"])
|
||
return f"Mise à jour:\n{out}\nRedémarrage…"
|
||
except subprocess.CalledProcessError as e:
|
||
return f"Erreur mise à jour: {e.output}"
|
||
|
||
# ─── Nettoyage ────────────────────────────────────────────────────────────
|
||
|
||
def _cleanup_old_logs(self):
|
||
"""Supprime les logs filtrés plus vieux que log_retention_days."""
|
||
days = int(self._cfg('log_retention_days', '7'))
|
||
cutoff = (datetime.now() - timedelta(days=days)).isoformat()
|
||
with self._get_db() as conn:
|
||
cur = conn.execute(
|
||
"DELETE FROM filtered_logs WHERE received_at < ? AND analyzed=1",
|
||
(cutoff,)
|
||
)
|
||
if cur.rowcount:
|
||
logger.info(f"Nettoyage: {cur.rowcount} logs anciens supprimés.")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
LogWatchAgent().run()
|