Rév.9

Monitor.py

@@ -1,7 +1,6 @@
 # Surveillance continue avec envoi d'alertes par email + log CSV
 import mysql.connector
 from datetime import datetime, timedelta
-import time
 import smtplib
 from email.mime.text import MIMEText
 import pandas as pd
@@ -65,9 +64,9 @@ def surveiller():
                     WHERE Sonde = %s
                     ORDER BY Date DESC LIMIT 6
                 """, (nom_sonde,))
-                relevés = cursor.fetchall()
+                releves = cursor.fetchall()
 
-                for r in relevés:
+                for r in releves:
                     log_entries.append({
                         "Date": r['Date'],
                         "Lieu": lieu,
@@ -77,9 +76,9 @@ def surveiller():
                         "État": "Dépassement" if r['Temperature'] > seuil else "Normal"
                     })
 
-                if len(relevés) == 6:
-                    toutes_hors_seuil = all(r['Temperature'] > seuil for r in relevés)
-                    plus_ancien = relevés[-1]['Date']
+                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)):
@@ -122,7 +121,8 @@ def surveiller():
         # Enregistrer le log
         if log_entries:
             df_logs = pd.DataFrame(log_entries)
-            df_logs.to_csv("/home/debian/travail/Logs/monitor.csv", sep=";", index=False)
+            df_logs.to_csv("/home/debian/travail/Gestion_sondes/logs/monitor.csv", sep=";", index=False)
 
     except Exception as e:
+        print()
         print(f"Erreur : {e}", flush=True)