Update util/dataframe.py

util/dataframe.py

@@ -37,17 +37,6 @@ def _to_dataframe(items: Any, columns_map: Dict[str, str]) -> pd.DataFrame:
     df = df.reindex(columns=ordered_cols)
     return df
 
-def _mean_effectiveness(metrics: List[Dict[str, Any]]) -> float:
-    if not metrics:
-        return 0.0
-    scores = []
-    for m in metrics:
-        s = str(m.get("effectiveness_score", "0/10")).split("/")[0]
-        try:
-            scores.append(int(s))
-        except Exception:
-            pass
-    return round(sum(scores) / len(scores), 2) if scores else 0.0
 
 def _search_dataframe(df: pd.DataFrame, query: str) -> pd.DataFrame:
     if not query or df.empty: