caulsal-track debug

src/populate.py

@@ -127,11 +127,11 @@ def create_intervention_averaged_df(df: pd.DataFrame) -> pd.DataFrame:
 def get_leaderboard_df_mib_causalgraph(results_path: str, requests_path: str) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
     # print(f"results_path is {results_path}, requests_path is {requests_path}")
 
-    # raw_data = get_raw_eval_results_mib_causalgraph(results_path, requests_path)
-    # all_data_json = [v.to_dict() for v in raw_data]
-    # detailed_df = pd.DataFrame.from_records(all_data_json)
+    raw_data = get_raw_eval_results_mib_causalgraph(results_path, requests_path)
+    all_data_json = [v.to_dict() for v in raw_data]
+    detailed_df = pd.DataFrame.from_records(all_data_json)
 
-    detailed_df = get_raw_eval_results_mib_causalgraph(results_path, requests_path)
+    # detailed_df = get_raw_eval_results_mib_causalgraph(results_path, requests_path)
 
     # Print the actual columns for debugging
     print("Original columns:", detailed_df.columns.tolist())