Make a bulk commit for all Unknown answers when a user is registered.

src/streamlit_app.py

@@ -298,18 +298,57 @@ def auto_score_all_unknown_answers_for_new_user(username):
     """
     Automatically score all Unknown answers for all categories when a new user is created.
     This runs in the background during account creation.
+    Performs a single bulk commit for all Unknown answers.
     """
     try:
         # Get all unique term-category pairs
         term_category_pairs = df[['term', 'category']].drop_duplicates().sort_values(['term', 'category']).values.tolist()
         
-        # Process each category and save Unknown answers
+        # Collect all Unknown answers from all categories
+        all_unknown_answers = []
         for term, category in term_category_pairs:
             unknown_answers = auto_score_unknown_answers(username, term, category, df)
             if unknown_answers:
-                # Save Unknown answers for this category
-                commit_message = f"Auto-score Unknown answers for {username} - {term} - {category}"
-                update_category_answers(username, term, category, unknown_answers, commit_message=commit_message)
+                # Add term and category to each tuple for bulk update
+                for subcategory, question, answer, score in unknown_answers:
+                    all_unknown_answers.append((term, category, subcategory, question, answer, score))
+        
+        # If no Unknown answers found, return early
+        if not all_unknown_answers:
+            return True
+        
+        # Load user dataframe once
+        user_df = load_user_data(username)
+        
+        # Get current timestamp once for all updates
+        current_timestamp = pd.Timestamp.now()
+        
+        # Update all Unknown answers in memory
+        updated_count = 0
+        for term, category, subcategory, question, answer, score in all_unknown_answers:
+            # Find the matching row
+            mask = (
+                (user_df['term'] == term) &
+                (user_df['category'] == category) &
+                (user_df['subcategory'] == subcategory) &
+                (user_df['question'] == question) &
+                (user_df['answer'] == answer)
+            )
+            
+            if mask.any():
+                user_df.loc[mask, 'legal_accuracy_score'] = score
+                user_df.loc[mask, 'time_stamp'] = current_timestamp
+                updated_count += 1
+            else:
+                print(f"Warning: Could not find matching row for: {term}, {category}, {subcategory}, {question}")
+        
+        if updated_count == 0:
+            print(f"Warning: No Unknown answers were updated for new user {username}")
+            return False
+        
+        # Save once with a single commit message
+        commit_message = f"Auto-score all Unknown answers for new user {username}"
+        save_user_data(username, user_df, commit_message=commit_message)
         
         return True
     except Exception as e: