remove data clean function

app.py

@@ -86,21 +86,12 @@ try:
     baseline_df['month'] = baseline_df['timestamp'].dt.month
     baseline_df['day'] = baseline_df['timestamp'].dt.day
     baseline_df['hour'] = baseline_df['timestamp'].dt.hour
-
-    # 資料清潔
-    clean_ips = baseline_df['ip_address'].astype(str).apply(lambda x: x.split(" ")[0]).values
-
-    known_ips = set(le_ip.classes_)
-    unknown_ips = set(clean_ips) - known_ips
-    if unknown_ips:
-        print(f"📖 學習到新的歷史 IP: {unknown_ips}，已動態加入 AI 字典中...")
-        le_ip.classes_ = np.append(le_ip.classes_, list(unknown_ips))
     
     baseline_X = np.column_stack((
         baseline_df['month'].values,
         baseline_df['day'].values,
         baseline_df['hour'].values,
-        le_ip.transform(clean_ips), # 🌟 這裡改用清洗過的 clean_ips
+        le_ip.transform(baseline_df['ip_address'].values),
         le_action.transform(baseline_df['action'].values)
     ))