Resolve TypeError when processing evaluation queue data

app.py

@@ -144,7 +144,7 @@ def update_leaderboard():
     """Update the leaderboard with latest evaluation results."""
     global LEADERBOARD_DF
     LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
-    leaderboard.update(value=LEADERBOARD_DF)
+    return LEADERBOARD_DF
 
 def init_leaderboard(df):
     """Initialize the leaderboard with the given DataFrame."""

src/populate.py

@@ -12,15 +12,29 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     print(f"Getting raw eval results from {results_path} and {requests_path}")
     raw_data = get_raw_eval_results(results_path, requests_path)
     print(f"Got {len(raw_data)} raw eval results")
- 
+
     if not raw_data:
         print("No raw data found!")
         return pd.DataFrame(columns=cols)
 
-    all_data_json = [v.to_dict() for v in raw_data]
+    all_data_json = []
+    for v in raw_data:
+        try:
+            data_dict = v.to_dict() if hasattr(v, 'to_dict') else v
+            if data_dict and isinstance(data_dict, dict):
+                all_data_json.append(data_dict)
+            else:
+                print(f"Warning: Invalid data format for result: {v}")
+        except Exception as e:
+            print(f"Error processing result: {e}")
+
     print(f"Converted {len(all_data_json)} results to dict")
     print(f"Data before DataFrame creation: {all_data_json}")
 
+    if not all_data_json:
+        print("No valid data found after conversion!")
+        return pd.DataFrame(columns=cols)
+
     df = pd.DataFrame.from_records(all_data_json)
     print(f"Created DataFrame with columns: {df.columns.tolist()}")
     print(f"DataFrame before filtering:\n{df}")