test

src/populate.py

@@ -16,12 +16,13 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     df = pd.DataFrame.from_records(all_data_json)
     print(df)
     print(AutoEvalColumn.average.name)
-    df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
+    if df != {}:
+        df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
     
-    df = df[cols].round(decimals=2)
+        df = df[cols].round(decimals=2)
 
     # filter out if any of the benchmarks have not been produced
-    df = df[has_no_nan_values(df, benchmark_cols)]
+        df = df[has_no_nan_values(df, benchmark_cols)]
     return raw_data, df