time input bug in plot

app.py

@@ -179,7 +179,9 @@ def get_plot_data(selected_key):
         
         df_live = pd.DataFrame(log_history)
         if not df_live.empty:
-            df_live['timestamp'] = pd.to_datetime(df_live['timestamp'])
+            # 👉 雙重防護 2：加入 errors='coerce' 容錯機制，剔除壞資料避免圖表破圖
+            df_live['timestamp'] = pd.to_datetime(df_live['timestamp'], errors='coerce')
+            df_live = df_live.dropna(subset=['timestamp']) 
             df_live = df_live[df_live['action'] == action_code].copy()
         
         if not df_live.empty:
@@ -359,8 +361,18 @@ def check_anomaly(ip, account, action, log_time):
 
 def record_log(ip, cookie, account, role, action, status, time_mode, custom_time):
     global baseline_X 
-    if time_mode == "自訂時間 (模擬過去/未來)" and custom_time and str(custom_time).strip() != "": log_time = str(custom_time)
-    else: log_time = datetime.datetime.now(datetime.timezone(datetime.timedelta(hours=8))).strftime("%Y-%m-%d %H:%M:%S")
+    
+    # 👉 雙重防護 1：驗證自訂時間格式
+    if time_mode == "自訂時間 (模擬過去/未來)" and custom_time and str(custom_time).strip() != "": 
+        try:
+            valid_time = pd.to_datetime(str(custom_time))
+            log_time = valid_time.strftime("%Y-%m-%d %H:%M:%S")
+        except Exception:
+            # 🚨 解析失敗，退回當前時間並標記狀態
+            log_time = datetime.datetime.now(datetime.timezone(datetime.timedelta(hours=8))).strftime("%Y-%m-%d %H:%M:%S")
+            status = "⚠️格式錯誤_無效的自訂時間"
+    else: 
+        log_time = datetime.datetime.now(datetime.timezone(datetime.timedelta(hours=8))).strftime("%Y-%m-%d %H:%M:%S")
 
     if status == "success":
         ai_judgment = check_anomaly(ip, account, action, log_time)
@@ -376,7 +388,7 @@ def record_log(ip, cookie, account, role, action, status, time_mode, custom_time
     except: pass
 
     global_stats["total_count"] += 1
-    if "異常" in str(status): global_stats["abnormal_count"] += 1
+    if "異常" in str(status) or "錯誤" in str(status): global_stats["abnormal_count"] += 1
 
     log_history.insert(0, new_log)
 
@@ -389,10 +401,10 @@ def record_log(ip, cookie, account, role, action, status, time_mode, custom_time
         except: pass 
 
     df_all = pd.DataFrame(log_history)
-    abnormal_logs = [log for log in log_history if "異常" in str(log.get("status", ""))]
+    abnormal_logs = [log for log in log_history if "異常" in str(log.get("status", "")) or "錯誤" in str(log.get("status", ""))]
     df_abnormal = pd.DataFrame(abnormal_logs) if abnormal_logs else pd.DataFrame(columns=df_all.columns)
     
-    input_update = gr.update(value=f"時間: {log_time} | IP: {ip} | 帳號: {account} | 動作: {action} | 狀態: {status}") if "異常" in str(status) else gr.update()
+    input_update = gr.update(value=f"時間: {log_time} | IP: {ip} | 帳號: {account} | 動作: {action} | 狀態: {status}") if "異常" in str(status) or "錯誤" in str(status) else gr.update()
     return df_all, df_abnormal, input_update
 
 def fast_login(target_account, ip, cookie, time_mode, custom_time):