Update app.py

app.py

@@ -1,10 +1,12 @@
 import gradio as gr
 import pandas as pd
 import matplotlib.pyplot as plt
-from fpdf import FPDF
+import numpy as np
+from fpdf2 import FPDF
 import io
 from datetime import datetime, timedelta
 import sys
+import traceback
 
 # Check library versions for debugging
 debug_msg = "Library Versions:\n"
@@ -13,7 +15,8 @@ try:
     debug_msg += f"Gradio: {gr.__version__}\n"
     debug_msg += f"Pandas: {pd.__version__}\n"
     debug_msg += f"Matplotlib: {matplotlib.__version__}\n"
-    debug_msg += f"FPDF: {FPDF.FPDF_VERSION}\n"
+    debug_msg += f"NumPy: {np.__version__}\n"
+    debug_msg += f"FPDF2: {FPDF.__version__}\n"
 except Exception as e:
     debug_msg += f"Error checking library versions: {str(e)}\n"
 
@@ -63,7 +66,8 @@ def upload_csv(file):
             if timestamps_invalid:
                 debug_msg_local += "Warning: All Timestamp values are invalid or unparseable. Date range filtering will be disabled.\n"
         except Exception as e:
-            return ["All"], ["All"], ["All"], f"{debug_msg_local}Error: Failed to parse Timestamp column: {str(e)}", "All", "All", "All", None, None, None, None
+            debug_msg_local += f"Error parsing Timestamp column: {str(e)}\n{traceback.format_exc()}\n"
+            return ["All"], ["All"], ["All"], debug_msg_local, "All", "All", "All", None, None, None, None
         
         # Extract unique values for dropdowns
         debug_msg_local += "Extracting unique values for dropdowns...\n"
@@ -93,12 +97,13 @@ def upload_csv(file):
             device_cards, plot_daily, plot_uptime, anomaly_text, filter_msg = filter_and_visualize("All", "All", "All")
             debug_msg_local += f"Initial Filter Result: {filter_msg}\n"
         except Exception as e:
-            debug_msg_local += f"Initial Filter Error: {str(e)}\n"
+            debug_msg_local += f"Initial Filter Error: {str(e)}\n{traceback.format_exc()}\n"
             device_cards, plot_daily, plot_uptime, anomaly_text = None, None, None, None
         
         return labs, types, date_ranges, debug_msg_local, "All", "All", "All", device_cards, plot_daily, plot_uptime, anomaly_text
     except Exception as e:
-        return ["All"], ["All"], ["All"], f"{debug_msg_local}Failed to process CSV: {str(e)}", "All", "All", "All", None, None, None, None
+        debug_msg_local += f"Failed to process CSV: {str(e)}\n{traceback.format_exc()}\n"
+        return ["All"], ["All"], ["All"], debug_msg_local, "All", "All", "All", None, None, None, None
 
 def filter_and_visualize(selected_lab, selected_type, selected_date_range):
     global df
@@ -128,7 +133,7 @@ def filter_and_visualize(selected_lab, selected_type, selected_date_range):
                 filtered_df = filtered_df[(filtered_df["Timestamp"] >= start_date) & (filtered_df["Timestamp"] < end_date)]
                 error_msg += f"After Date Range filter ({start_date} to {end_date}): {len(filtered_df)} rows\n"
             except Exception as e:
-                error_msg += f"Error parsing date range: {str(e)}\n"
+                error_msg += f"Error parsing date range: {str(e)}\n{traceback.format_exc()}\n"
         
         if filtered_df.empty:
             return None, None, None, None, f"{error_msg}No data matches the selected filters."
@@ -175,7 +180,7 @@ def filter_and_visualize(selected_lab, selected_type, selected_date_range):
                     plt.close()
                     plot_daily.seek(0)
         except Exception as e:
-            error_msg += f"Error generating Daily Log Trends: {str(e)}\n"
+            error_msg += f"Error generating Daily Log Trends: {str(e)}\n{traceback.format_exc()}\n"
             plt.figure(figsize=(8, 4))
             plt.title("Daily Log Trends - Error")
             plt.xlabel("Date")
@@ -224,7 +229,7 @@ def filter_and_visualize(selected_lab, selected_type, selected_date_range):
                     plt.close()
                     plot_uptime.seek(0)
         except Exception as e:
-            error_msg += f"Error generating Weekly Uptime %: {str(e)}\n"
+            error_msg += f"Error generating Weekly Uptime %: {str(e)}\n{traceback.format_exc()}\n"
             plt.figure(figsize=(8, 4))
             plt.title("Weekly Uptime % - Error")
             plt.xlabel("Date")
@@ -242,12 +247,12 @@ def filter_and_visualize(selected_lab, selected_type, selected_date_range):
             else:
                 anomaly_text = "Anomalies Detected:\n" + anomalies[['DeviceID', 'Lab', 'Type', 'Status', 'UsageCount']].to_string(index=False)
         except Exception as e:
-            error_msg += f"Error generating Anomaly Alerts: {str(e)}\n"
+            error_msg += f"Error generating Anomaly Alerts: {str(e)}\n{traceback.format_exc()}\n"
             anomaly_text = "Error generating anomaly alerts."
         
         return device_cards, plot_daily, plot_uptime, anomaly_text, f"{error_msg}Filters applied successfully."
     except Exception as e:
-        error_msg += f"Unexpected error in filter_and_visualize: {str(e)}\n"
+        error_msg += f"Unexpected error in filter_and_visualize: {str(e)}\n{traceback.format_exc()}\n"
         plt.figure(figsize=(8, 4))
         plt.title("Daily Log Trends - Error")
         plt.xlabel("Date")
@@ -303,7 +308,7 @@ def download_pdf(selected_lab, selected_type, selected_date_range):
         output.seek(0)
         return output
     except Exception as e:
-        print(f"Error in download_pdf: {str(e)}")
+        print(f"Error in download_pdf: {str(e)}\n{traceback.format_exc()}")
         return None
 
 # Build the Gradio interface
@@ -355,4 +360,4 @@ try:
 
     demo.launch()
 except Exception as e:
-    print(f"Error launching Gradio interface: {str(e)}")
+    print(f"Error launching Gradio interface: {str(e)}\n{traceback.format_exc()}")