LR training wip

core/orchestrator.py

@@ -613,7 +613,11 @@ class TradingOrchestrator:
         # CRITICAL: Initialize checkpoint manager for saving training progress
         self.checkpoint_manager = None
         self.training_iterations = 0  # Track training iterations for periodic saves
-        self._initialize_checkpoint_manager()
+        try:
+            self._initialize_checkpoint_manager()
+        except Exception as e:
+            logger.error(f"Failed to initialize checkpoint manager in __init__: {e}")
+            self.checkpoint_manager = None
         
         # Initialize models, COB integration, and training system
         self._initialize_ml_models()
@@ -828,7 +832,7 @@ class TradingOrchestrator:
             # Try to load best checkpoint
             checkpoint_loaded = False
             try:
-                if self.checkpoint_manager:
+                if hasattr(self, 'checkpoint_manager') and self.checkpoint_manager:
                     checkpoint_path, checkpoint_metadata = self.checkpoint_manager.load_best_checkpoint("transformer")
                     if checkpoint_path and checkpoint_metadata:
                         # Load the checkpoint