fixed indexing on feedback

backend/app/services/prompt_service.py

@@ -356,10 +356,19 @@ class PromptService:
                 raise ValueError(f"Rating for '{word}' must be between 0 and 6, got {rating}")
 
             if i < len(feedback_historic):
-                # Update the weight for the queued word
-                feedback_key = f"feedback{i:02d}"
+                # Get the existing item and its key
+                existing_item = feedback_historic[i]
+                # Find the feedback key (not "weight")
+                existing_keys = [k for k in existing_item.keys() if k != "weight"]
+                if existing_keys:
+                    existing_key = existing_keys[0]
+                else:
+                    # Fallback to generating a key
+                    existing_key = f"feedback{i:02d}"
+
+                # Update the item with existing key, same word, new weight
                 feedback_historic[i] = {
-                    feedback_key: word,
+                    existing_key: word,
                     "weight": rating
                 }
             else:
@@ -404,6 +413,8 @@ class PromptService:
             # Create new feedback items with default weight of 3
             new_feedback_items = []
             for i, word in enumerate(new_words):
+                # Generate unique key based on position in buffer
+                # New items will be at positions 0-5, so use those indices
                 feedback_key = f"feedback{i:02d}"
                 new_feedback_items.append({
                     feedback_key: word,
@@ -416,6 +427,26 @@ class PromptService:
             if len(updated_feedback_historic) > settings.FEEDBACK_HISTORY_SIZE:
                 updated_feedback_historic = updated_feedback_historic[:settings.FEEDBACK_HISTORY_SIZE]
 
+            # Re-key all items to ensure unique keys
+            for i, item in enumerate(updated_feedback_historic):
+                # Get the word and weight from the current item
+                # Each item has structure: {"feedbackXX": "word", "weight": N}
+                old_key = list(item.keys())[0]
+                if old_key == "weight":
+                    # Handle edge case where weight might be first key
+                    continue
+                word = item[old_key]
+                weight = item.get("weight", 3)
+
+                # Create new key based on position
+                new_key = f"feedback{i:02d}"
+
+                # Replace the item with new structure
+                updated_feedback_historic[i] = {
+                    new_key: word,
+                    "weight": weight
+                }
+
             # Update cache and save
             self._feedback_historic_cache = updated_feedback_historic
             await self.data_service.save_feedback_historic(updated_feedback_historic)