Update app.py

app.py

@@ -557,7 +557,7 @@ async def process_logs(file_obj, lab_site_filter, equipment_type_filter, date_ra
             # Handle mixed timestamp formats with ISO8601 and coerce errors
             df["timestamp"] = pd.to_datetime(df["timestamp"], format='ISO8601', errors='coerce')
             # Apply UTC timezone if not present, then convert to IST
-            df["timestamp"] = df["timestamp"].dt.tz_localize('UTC', ambiguous='raise', nonexistent='shift').dt.tz_convert('Asia/Kolkata')
+            df["timestamp"] = df["timestamp"].dt.tz_localize('UTC', ambiguous='raise', nonexistent='shift_forward').dt.tz_convert('Asia/Kolkata')
             df["amc_date"] = pd.to_datetime(df["amc_date"], format='%m/%d/%Y', errors='coerce').dt.tz_localize('UTC').dt.tz_convert('Asia/Kolkata')
             if df.empty:
                 return "No data available.", "<p>No data available.</p>", None, '<p>No device cards available.</p>', None, None, None, None, "", "", "", None, df, current_modified_time
@@ -628,7 +628,7 @@ async def process_logs(file_obj, lab_site_filter, equipment_type_filter, date_ra
         if elapsed_time > 3:
             logging.warning(f"Processing time exceeded 3 seconds: {elapsed_time:.2f} seconds")
 
-        return (summary, preview_html, usage_chart, device_cards, daily_log_chart, weekly_uptime_output, anomaly_alerts_output, downtime_chart, anomalies, amc_reminders, insights, None, df, current_modified_time)
+        return (summary, preview_html, usage_chart, device_cards, daily_log_chart, weekly_uptime_chart, anomaly_alerts_chart, downtime_chart, anomalies, amc_reminders, insights, None, df, current_modified_time)
     except Exception as e:
         logging.error(f"Failed to process file: {str(e)}")
         return f"Error: {str(e)}", "<p>Error processing data.</p>", None, '<p>Error processing data.</p>', None, None, None, None, "", "", "", None, cached_df_state, last_modified_state