modedl ckpt tooltips

core/data_provider.py

@@ -1267,7 +1267,23 @@ class DataProvider:
             return df
             
         except Exception as e:
-            logger.error(f"Error generating 1s candles from ticks for {symbol}: {e}")
+            # Handle Windows-specific invalid argument (e.g., bad timestamps) gracefully
+            try:
+                import errno
+                if hasattr(e, 'errno') and e.errno == errno.EINVAL:
+                    logger.warning(f"Invalid argument while generating 1s candles for {symbol}; trimming tick buffer and falling back")
+                    try:
+                        if hasattr(self, 'cob_raw_ticks') and symbol in getattr(self, 'cob_raw_ticks', {}):
+                            buf = self.cob_raw_ticks[symbol]
+                            drop = max(1, len(buf)//2)
+                            for _ in range(drop):
+                                buf.popleft()
+                    except Exception:
+                        pass
+                else:
+                    logger.error(f"Error generating 1s candles from ticks for {symbol}: {e}")
+            except Exception:
+                logger.error(f"Error generating 1s candles from ticks for {symbol}: {e}")
             return None
     
     def _fetch_from_binance(self, symbol: str, timeframe: str, limit: int) -> Optional[pd.DataFrame]:

core/orchestrator.py

@@ -81,11 +81,21 @@ except Exception:
         from enhanced_realtime_training import EnhancedRealtimeTrainingSystem  # type: ignore
         ENHANCED_TRAINING_AVAILABLE = True
     except Exception:
-        EnhancedRealtimeTrainingSystem = None  # type: ignore
-        ENHANCED_TRAINING_AVAILABLE = False
-        logging.warning(
-            "EnhancedRealtimeTrainingSystem not found. Real-time training features will be disabled."
-        )
+        # Dynamic sys.path injection as last resort
+        try:
+            import sys, os
+            current_dir = os.path.dirname(os.path.abspath(__file__))
+            nn_training_dir = os.path.normpath(os.path.join(current_dir, "..", "NN", "training"))
+            if nn_training_dir not in sys.path:
+                sys.path.insert(0, nn_training_dir)
+            from enhanced_realtime_training import EnhancedRealtimeTrainingSystem  # type: ignore
+            ENHANCED_TRAINING_AVAILABLE = True
+        except Exception:
+            EnhancedRealtimeTrainingSystem = None  # type: ignore
+            ENHANCED_TRAINING_AVAILABLE = False
+            logging.warning(
+                "EnhancedRealtimeTrainingSystem not found. Real-time training features will be disabled."
+            )
 
 logger = logging.getLogger(__name__)