stability

core/orchestrator.py

@@ -230,7 +230,8 @@ class TradingOrchestrator:
                             self.model_states['dqn']['checkpoint_loaded'] = True
                             self.model_states['dqn']['checkpoint_filename'] = metadata.checkpoint_id
                             checkpoint_loaded = True
-                            logger.info(f"DQN checkpoint loaded: {metadata.checkpoint_id} (loss={metadata.loss:.4f})")
+                            loss_str = f"{metadata.loss:.4f}" if metadata.loss is not None else "N/A"
+                            logger.info(f"DQN checkpoint loaded: {metadata.checkpoint_id} (loss={loss_str})")
                     except Exception as e:
                         logger.warning(f"Error loading DQN checkpoint: {e}")
                 
@@ -269,7 +270,8 @@ class TradingOrchestrator:
                         self.model_states['cnn']['checkpoint_loaded'] = True
                         self.model_states['cnn']['checkpoint_filename'] = metadata.checkpoint_id
                         checkpoint_loaded = True
-                        logger.info(f"CNN checkpoint loaded: {metadata.checkpoint_id} (loss={metadata.loss:.4f})")
+                        loss_str = f"{metadata.loss:.4f}" if metadata.loss is not None else "N/A"
+                        logger.info(f"CNN checkpoint loaded: {metadata.checkpoint_id} (loss={loss_str})")
                 except Exception as e:
                     logger.warning(f"Error loading CNN checkpoint: {e}")
                 
@@ -356,7 +358,8 @@ class TradingOrchestrator:
                             self.model_states['cob_rl']['checkpoint_loaded'] = True
                             self.model_states['cob_rl']['checkpoint_filename'] = metadata.checkpoint_id
                             checkpoint_loaded = True
-                            logger.info(f"COB RL checkpoint loaded: {metadata.checkpoint_id} (loss={metadata.loss:.4f})")
+                            loss_str = f"{metadata.loss:.4f}" if metadata.loss is not None else "N/A"
+                            logger.info(f"COB RL checkpoint loaded: {metadata.checkpoint_id} (loss={loss_str})")
                     except Exception as e:
                         logger.warning(f"Error loading COB RL checkpoint: {e}")
 
@@ -547,7 +550,7 @@ class TradingOrchestrator:
         if self.cob_integration:
             try:
                 logger.info("Attempting to start COB integration...")
-                await self.cob_integration.start_streaming()
+                await self.cob_integration.start()
                 logger.info("COB Integration streaming started successfully.")
             except Exception as e:
                 logger.error(f"Failed to start COB integration streaming: {e}")

enhanced_realtime_training.py

@@ -114,6 +114,34 @@ class EnhancedRealtimeTrainingSystem:
         
         logger.info("Enhanced Real-time Training System initialized")
     
+    def _get_dqn_state_features(self, symbol: str) -> Optional[np.ndarray]:
+        """Get DQN state features from orchestrator"""
+        try:
+            if not self.orchestrator:
+                return None
+            
+            # Get DQN state from orchestrator if available
+            if hasattr(self.orchestrator, 'build_comprehensive_rl_state'):
+                rl_state = self.orchestrator.build_comprehensive_rl_state(symbol)
+                if rl_state and 'state_vector' in rl_state:
+                    return np.array(rl_state['state_vector'], dtype=np.float32)
+            
+            # Fallback: create basic state from available data
+            if len(self.real_time_data['ohlcv_1m']) > 0:
+                latest_bar = self.real_time_data['ohlcv_1m'][-1]
+                basic_state = [
+                    latest_bar.get('close', 0) / 10000.0,  # Normalized price
+                    latest_bar.get('volume', 0) / 1000000.0,  # Normalized volume
+                    0.0, 0.0, 0.0  # Placeholder features
+                ]
+                return np.array(basic_state, dtype=np.float32)
+            
+            return None
+            
+        except Exception as e:
+            logger.debug(f"Error getting DQN state features for {symbol}: {e}")
+            return None
+    
     def start_training(self):
         """Start the enhanced real-time training system"""
         if self.is_training:
@@ -1885,7 +1913,7 @@ class EnhancedRealtimeTrainingSystem:
                 and self.orchestrator.rl_agent):
                 
                 # Use RL agent to make prediction
-                current_state = self._get_dqn_state(symbol)
+                current_state = self._get_dqn_state_features(symbol)
                 if current_state is None:
                     return
                 action = self.orchestrator.rl_agent.act(current_state, explore=False)

web/clean_dashboard.py

@@ -5205,9 +5205,7 @@ class CleanTradingDashboard:
             if self.orchestrator and hasattr(self.orchestrator, 'add_decision_callback'):
                 def connect_worker():
                     try:
-                        loop = asyncio.new_event_loop()
-                        asyncio.set_event_loop(loop)
-                        loop.run_until_complete(self.orchestrator.add_decision_callback(self._on_trading_decision))
+                        self.orchestrator.add_decision_callback(self._on_trading_decision)
                         logger.info("Successfully connected to orchestrator for trading signals.")
                     except Exception as e:
                         logger.error(f"Orchestrator connection worker failed: {e}")