Auto-Fix by Architect: Auto-Fix: ASSIGN_ARCHITECT | Quant Silence indicates a failure in automated analysis generation, suggesting a potential code bug or technical issue requiring Python code fixes to resolve. by Agent Architect

ml_engine/sniper_engine.py

@@ -28,10 +28,9 @@ def _z_score_rolling(x, w=500):
 def _add_liquidity_proxies(df):
     """حساب مؤشرات السيولة المتقدمة (Amihud, VPIN, OFI, etc.)"""
     df_proxy = df.copy()
-    if 'datetime' not in df_proxy.index:
-        if 'timestamp' in df_proxy.columns:
-            df_proxy['datetime'] = pd.to_datetime(df_proxy['timestamp'], unit='ms')
-            df_proxy = df_proxy.set_index('datetime')
+    if 'datetime' not in df_proxy.index.names and 'timestamp' in df_proxy.columns:
+        df_proxy['datetime'] = pd.to_datetime(df_proxy['timestamp'], unit='ms')
+        df_proxy = df_proxy.set_index('datetime')
             
     df_proxy['ret'] = df_proxy['close'].pct_change().fillna(0)
     df_proxy['dollar_vol'] = df_proxy['close'] * df_proxy['volume']
@@ -69,7 +68,7 @@ def _add_liquidity_proxies(df):
     # Composite Liquidity Score
     df_proxy['L_score'] = (
         _z_score_rolling(df_proxy['volume']) +
-        _z_score_rolling(1 / df_proxy['amihud'].replace(np.inf, np.nan)) + 
+        _z_score_rolling(1 / df_proxy['amihud'].replace([np.inf, -np.inf], np.nan)) + 
         _z_score_rolling(-df_proxy['roll_spread']) + 
         _z_score_rolling(-df_proxy['rv_gk'].abs()) + 
         _z_score_rolling(-df_proxy['vwap_dev'].abs()) + 
@@ -315,7 +314,7 @@ class SniperEngine:
                 df_features = self._calculate_features_live(df)
                 if not df_features.empty:
                     X_live = df_features.iloc[-1:][self.feature_names].fillna(0)
-                    preds = [m.predict(X_live)[0][1] for m in self.models]
+                    preds = [m.predict(X_live)[0] for m in self.models]  # Fixed indexing for prediction output
                     ml_score = float(np.mean(preds))
                     ml_reason = f"ML:{ml_score:.2f}"
             except Exception as e: