Files
Gestion_sondes/app/Monitor.py
2025-07-26 15:01:54 +02:00

148 lines
5.6 KiB
Python

import os
import time
from datetime import datetime, timedelta
from pathlib import Path
from utils_db import connect_to_mysql
from dotenv import load_dotenv
from utils_sms import envoyer_sms
if os.name != 'nt':
log_dir = Path('/home/debian/Gestion_sondes/Logs')
else:
log_dir = Path.cwd() / 'Logs'
log_dir.mkdir(parents=True, exist_ok=True)
load_dotenv()
ENVOI_SMS = os.getenv("ENVOI_SMS") == "1"
print("▶️ Lancement Monitor.py")
# --- Suivi des alertes actives pour rappels ---
alertes_actives = {}
# --- Fonction de surveillance ---
def surveiller():
global alertes_actives
log_entries = []
try:
conn = connect_to_mysql()
cursor = conn.cursor(dictionary=True)
cursor.execute("SELECT DISTINCT Lieu FROM `Chambres_froides`")
lieux = [row['Lieu'] for row in cursor.fetchall()]
for lieu in lieux:
table_temp = lieu
table_alertes = f"Alertes_{lieu}"
cursor.execute("""
SELECT Sonde, Temp_Max
FROM Sondes.Chambres_froides
WHERE Lieu = %s
AND Etat = 'ON'
AND En_entretien = 0
""", (lieu,))
sondes = cursor.fetchall()
for sonde in sondes:
nom_sonde = sonde['Sonde']
seuil = sonde['Temp_Max']
cursor.execute(f"""
SELECT Date, Temperature FROM {table_temp}
WHERE Sonde = %s
ORDER BY Date DESC LIMIT 6
""", (nom_sonde,))
releves = cursor.fetchall()
for r in releves:
log_entries.append({
"Date": r['Date'],
"Lieu": lieu,
"Sonde": nom_sonde,
"Température": r['Temperature'],
"Seuil": seuil,
"État": "Dépassement" if r['Temperature'] > seuil else "Normal"
})
if len(releves) == 6:
toutes_hors_seuil = all(r['Temperature'] > seuil for r in releves)
plus_ancien = releves[-1]['Date']
maintenant = datetime.now()
if toutes_hors_seuil and (maintenant - plus_ancien >= timedelta(minutes=30)):
cursor.execute(f"""
SELECT COUNT(*) as total FROM {table_alertes}
WHERE Sonde=%s AND Status='En cours'
""", (nom_sonde,))
en_cours = cursor.fetchone()
if en_cours['total'] == 0:
cursor.execute(
f"INSERT INTO {table_alertes} (Sonde, Debut_defaut, Status) VALUES (%s, NOW(), 'En cours')",
(nom_sonde,)
)
print(f"🚨 Alerte déclenchée pour {nom_sonde} ({lieu})", flush=True)
message = (
f"La sonde '{nom_sonde}' du site '{lieu}' a dépassé le seuil de {seuil}°C "
f"depuis plus de 30 minutes.\nHeure : {maintenant.strftime('%Y-%m-%d %H:%M:%S')}"
)
if ENVOI_SMS:
envoyer_sms(lieu, message)
alertes_actives[nom_sonde] = maintenant
else:
dernier_envoi = alertes_actives.get(nom_sonde)
if dernier_envoi and (maintenant - dernier_envoi >= timedelta(hours=1)):
message = (
f"La sonde '{nom_sonde}' du site '{lieu}' est TOUJOURS en dépassement de seuil (>{seuil}°C).\n"
f"Heure : {maintenant.strftime('%Y-%m-%d %H:%M:%S')}"
)
if ENVOI_SMS:
envoyer_sms(lieu, message)
alertes_actives[nom_sonde] = maintenant
# Vérifier retour à la normale (Acquittement)
cursor.execute(f"""
SELECT Temperature FROM {table_temp}
WHERE Sonde = %s
ORDER BY Date DESC LIMIT 1
""", (nom_sonde,))
derniere = cursor.fetchone()
if derniere and derniere['Temperature'] <= seuil:
cursor.execute(f"""
UPDATE {table_alertes}
SET Status = 'Acquitté'
WHERE Sonde = %s AND Status IN ('En cours', 'Test')
""", (nom_sonde,))
if nom_sonde in alertes_actives:
del alertes_actives[nom_sonde]
conn.commit()
cursor.close()
conn.close()
if log_entries:
import pandas as pd
df_logs = pd.DataFrame(log_entries)
try:
df_logs.to_csv(log_dir / "monitor.csv", sep=";", index=False)
print(f"✅ Log écrit dans {log_dir}/monitor.csv", flush=True)
except Exception as e:
print(f"❌ Erreur lors de l'écriture du fichier de log : {e}", flush=True)
except Exception as e:
print(f"Erreur : {e}", flush=True)
# --- Boucle principale ---
while True:
print(f"📡 Vérification à {datetime.now()}", flush=True)
surveiller()
time.sleep(300) # 5 minutes