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Update learning_hub/adaptive_hub.py
Browse files- learning_hub/adaptive_hub.py +30 -2
learning_hub/adaptive_hub.py
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@@ -1,6 +1,6 @@
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# ==============================================================================
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# 🧠 learning_hub/adaptive_hub.py
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# (V54.
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# ==============================================================================
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import json
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@@ -35,7 +35,7 @@ class AdaptiveHub:
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self.dna_file_key = "learning/strategic_dna_v5_struct.json"
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self.current_market_regime = "RANGE"
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self.strategies: Dict[str, StrategyDNA] = {}
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print("🧠 [AdaptiveHub V54.
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async def initialize(self):
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try:
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self.strategies[key] = StrategyDNA(val["name"], val["model_weights"], val["ob_settings"], val["filters"], val.get("guard_settings", {}))
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self.current_market_regime = data.get("current_regime", "RANGE")
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def _inject_current_parameters(self):
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if self.current_market_regime not in self.strategies: return
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active_dna = self.strategies[self.current_market_regime]
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# ==============================================================================
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# 🧠 learning_hub/adaptive_hub.py
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# (V54.1 - GEM-Architect: Fix Missing Method)
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# ==============================================================================
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import json
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self.dna_file_key = "learning/strategic_dna_v5_struct.json"
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self.current_market_regime = "RANGE"
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self.strategies: Dict[str, StrategyDNA] = {}
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print("🧠 [AdaptiveHub V54.1] Core Initialized (Method Restored).")
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async def initialize(self):
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try:
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self.strategies[key] = StrategyDNA(val["name"], val["model_weights"], val["ob_settings"], val["filters"], val.get("guard_settings", {}))
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self.current_market_regime = data.get("current_regime", "RANGE")
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# ✅ الدالة المفقودة تمت استعادتها هنا
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async def register_trade_outcome(self, trade_data: Dict[str, Any]):
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try:
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# نتأكد من وجود البيانات، أحياناً قد تأتي كائن Trade وأحياناً Dict
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# إذا كانت كائن، نحولها لـ dict أو نصل للخاصية مباشرة
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pnl = 0.0
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if isinstance(trade_data, dict):
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pnl = trade_data.get('profit_pct', 0.0)
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# دعم للتسميات المختلفة
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if 'pnl_percent' in trade_data: pnl = trade_data['pnl_percent']
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else:
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# في حال كان كائناً (Object)
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pnl = getattr(trade_data, 'profit_pct', 0.0)
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is_win = pnl > 0
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if self.current_market_regime in self.strategies:
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active_dna = self.strategies[self.current_market_regime]
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if is_win: active_dna.stats["wins"] += 1
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else: active_dna.stats["losses"] += 1
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# طباعة خفيفة للتأكد
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# print(f"🧠 [AdaptiveHub] Learned: {self.current_market_regime} | Win? {is_win}")
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except Exception as e:
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print(f"❌ [AdaptiveHub] Trade Analysis Error: {e}")
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traceback.print_exc()
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def _inject_current_parameters(self):
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if self.current_market_regime not in self.strategies: return
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active_dna = self.strategies[self.current_market_regime]
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