debug

app.py

@@ -120,23 +120,19 @@ def init_leaderboard_mib_subgraph(dataframe, track):
     )
 
 def init_leaderboard_mib_causalgraph(dataframe, track):
-    print("init_leaderboard_mib: starting...")
-    print(f"DataFrame columns after entering function: {dataframe.columns.tolist()}")
+    print("Debugging column issues:")
+    print("\nActual DataFrame columns:")
+    print(dataframe.columns.tolist())
     
-    if dataframe is None or dataframe.empty:
-        raise ValueError("Leaderboard DataFrame is empty or None.")
-
-    # Let's check our expected columns
+    print("\nExpected columns for Leaderboard:")
     expected_cols = [c.name for c in fields(AutoEvalColumn_mib_causalgraph)]
-    print(f"Expected columns: {expected_cols}")
+    print(expected_cols)
     
-    # Check if every expected column exists
+    print("\nMissing columns:")
     missing_cols = [col for col in expected_cols if col not in dataframe.columns]
-    if missing_cols:
-        print(f"Missing columns: {missing_cols}")
+    print(missing_cols)
     
-    # Print first few rows to see the data structure
-    print("\nFirst few rows of DataFrame:")
+    print("\nSample of DataFrame content:")
     print(dataframe.head().to_string())
 
     return Leaderboard(