Enhance DataLoader and MinuteDataBuffer for improved data handling

- Added error handling in DataLoader to attempt reading CSV files with a fallback to the Python engine if the default engine fails.
- Converted numpy float32 columns to Python float for compatibility in DataLoader.
- Updated MinuteDataBuffer to accept both Python and numpy numeric types, ensuring consistent data validation and conversion.

IncrementalTrader/utils/timeframe_utils.py

@@ -319,8 +319,13 @@ class MinuteDataBuffer:
         for field in required_fields:
             if field not in ohlcv_data:
                 raise ValueError(f"Missing required field: {field}")
-            if not isinstance(ohlcv_data[field], (int, float)):
+            # Accept both Python numeric types and numpy numeric types
+            if not isinstance(ohlcv_data[field], (int, float, np.number)):
                 raise ValueError(f"Field {field} must be numeric, got {type(ohlcv_data[field])}")
+            
+            # Convert numpy types to Python types to ensure compatibility
+            if isinstance(ohlcv_data[field], np.number):
+                ohlcv_data[field] = float(ohlcv_data[field])
         
         # Check timestamp ordering (allow equal timestamps for updates)
         if self._last_timestamp is not None and timestamp < self._last_timestamp: