Update rag.py

rag.py

@@ -8,7 +8,7 @@ from PIL import Image, ImageDraw, ImageFont
 import numpy as np
 from dotenv import load_dotenv
 import os
-import pandas as pd  # <-- Required for Excel logging
+import pandas as pd
 import csv
 import os
 
@@ -66,21 +66,26 @@ def get_best_answer(user_input):
     # ✏️ If not matched well, log to CSV
     if best_score < 0.65:
         file_path = "unmatched_queries.csv"
+        print(f"[DEBUG] Similarity score too low: {best_score}. Logging query to: {file_path}")
 
         # Check if file exists
         if not os.path.exists(file_path):
-            # Create file and write header
-            with open(file_path, mode="w", newline="", encoding="utf-8") as file:
-                writer = csv.writer(file)
-                writer.writerow(["Unmatched Queries"])
+            print(f"[DEBUG] File {file_path} does not exist. Creating file with header.")
+            try:
+                with open(file_path, mode="w", newline="", encoding="utf-8") as file:
+                    writer = csv.writer(file)
+                    writer.writerow(["Unmatched Queries"])
+                print(f"[DEBUG] Header written successfully.")
+            except Exception as e:
+                print(f"[ERROR] Failed to create file: {e}")
 
         try:
-            # Append new query
             with open(file_path, mode="a", newline="", encoding="utf-8") as file:
                 writer = csv.writer(file)
                 writer.writerow([user_input])
+                print(f"[DEBUG] Query logged: {user_input}")
         except Exception as e:
-            print(f"Error writing to unmatched_queries.csv: {e}")
+            print(f"[ERROR] Failed to write query to CSV: {e}")
 
     # 🧠 Prompt construction
     if best_score >= 0.65:
@@ -114,4 +119,3 @@ def get_best_answer(user_input):
         🌐 ue.edu.pk"""
 
     return response
-