Update rag.py

rag.py

@@ -9,6 +9,8 @@ import numpy as np
 from dotenv import load_dotenv
 import os
 import pandas as pd  # <-- Required for Excel logging
+import csv
+import os
 
 # Load environment variables
 load_dotenv()
@@ -63,15 +65,22 @@ def get_best_answer(user_input):
 
     # ✏️ If not matched well, log to Excel
     if best_score < 0.65:
-        file_path = "unmatched_queries.xlsx"
-        if os.path.exists(file_path):
-            try:
-                df = pd.read_excel(file_path)
-                new_row = {"Unmatched Queries": user_input}
-                df = pd.concat([df, pd.DataFrame([new_row])], ignore_index=True)
-                df.to_excel(file_path, index=False)
-            except Exception as e:
-                print(f"Error updating unmatched_queries.xlsx: {e}")
+    file_path = "unmatched_queries.csv"
+
+    # 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"])
+
+    try:
+        # Append new query
+        with open(file_path, mode="a", newline="", encoding="utf-8") as file:
+            writer = csv.writer(file)
+            writer.writerow([user_input])
+    except Exception as e:
+        print(f"Error writing to unmatched_queries.csv: {e}")
 
     # 🧠 Prompt construction
     if best_score >= 0.65: