Update ml_engine/sniper_engine.py

ml_engine/sniper_engine.py

@@ -1,5 +1,5 @@
 # ============================================================
-# 🎯 ml_engine/sniper_engine.py (V1.7 - Fully Configurable)
+# 🎯 ml_engine/sniper_engine.py (V1.8 - Fully Configurable)
 # ============================================================
 
 import os
@@ -102,7 +102,7 @@ def _add_standard_features(df):
     return df_feat
 
 # ============================================================
-# 🎯 2. كلاس المحرك الرئيسي (SniperEngine V1.7)
+# 🎯 2. كلاس المحرك الرئيسي (SniperEngine V1.8)
 # ============================================================
 
 class SniperEngine:
@@ -116,17 +116,23 @@ class SniperEngine:
         self.entry_threshold = 0.40
         self.wall_ratio_limit = 0.40 # نسبة الفيتو لجدار البيع
         
+        # ✅ إضافة متغيرات للأوزان (قابلة للتكوين)
+        self.weight_ml = 0.60
+        self.weight_ob = 0.40
+        
         self.initialized = False
         self.LOOKBACK_WINDOW = LOOKBACK_WINDOW
         self.ORDER_BOOK_DEPTH = 20
         
-        print("🎯 [SniperEngine V1.7] Created.")
+        print("🎯 [SniperEngine V1.8] Created.")
 
-    # ✅ دالة تكوين شاملة
-    def configure_settings(self, threshold: float, wall_ratio: float):
+    # ✅ دالة تكوين شاملة (محدثة لاستقبال الأوزان)
+    def configure_settings(self, threshold: float, wall_ratio: float, w_ml: float = 0.60, w_ob: float = 0.40):
         self.entry_threshold = threshold
         self.wall_ratio_limit = wall_ratio
-        # print(f"🔧 [Sniper] Configured: Threshold={self.entry_threshold}, WallVeto={self.wall_ratio_limit}")
+        self.weight_ml = w_ml
+        self.weight_ob = w_ob
+        # print(f"🔧 [Sniper] Configured: Threshold={self.entry_threshold}, WallVeto={self.wall_ratio_limit}, W_ML={self.weight_ml}")
 
     # (إبقاء هذه للدعم القديم إذا لزم الأمر، لكن configure_settings أفضل)
     def set_entry_threshold(self, new_threshold: float):
@@ -243,11 +249,8 @@ class SniperEngine:
         if order_book_data:
             ob_data = self._score_order_book(order_book_data)
 
-        # يمكن أيضاً نقل الأوزان (0.60/0.40) إلى Processor مستقبلاً، حالياً نكتفي بالعتبة والجدران
-        weight_ml = 0.60
-        weight_ob = 0.40
-        
-        final_score = (ml_score * weight_ml) + (ob_data['score'] * weight_ob)
+        # ✅ استخدام الأوزان المحقونة (Dynamic Weights)
+        final_score = (ml_score * self.weight_ml) + (ob_data['score'] * self.weight_ob)
         
         signal = 'WAIT'
         reason_str = f"Final:{final_score:.2f} (ML:{ml_score:.2f} + OB:{ob_data['score']:.2f})"