now creating dewars from spreadsheet

backend/app/services/spreadsheet_service.py

@@ -8,33 +8,41 @@ from app.sample_models import SpreadsheetModel
 logging.basicConfig(level=logging.DEBUG)
 logger = logging.getLogger(__name__)
 
+
 class SpreadsheetImportError(Exception):
     pass
 
+
 class SampleSpreadsheetImporter:
     def __init__(self):
         self.filename = None
         self.model = None
 
     def _clean_value(self, value, expected_type=None):
-        """Clean value by converting it to the expected type and stripping whitespace for strings."""
+        """Clean value by converting it to the expected type and handle edge cases."""
         if value is None:
             return None
         if expected_type == str:
+            # Ensure value is converted to string and stripped of whitespace
             return str(value).strip()
         if expected_type in [float, int]:
             try:
                 return expected_type(value)
-            except ValueError:
+            except (ValueError, TypeError):
+                # If conversion fails, return None
                 return None
         if isinstance(value, str):
             try:
+                # Handle numeric strings
                 if '.' in value:
                     return float(value)
                 else:
                     return int(value)
             except ValueError:
-                return value.strip()
+                pass
+            # In case of failure, return the stripped string
+            return value.strip()
+        # If no expected type or value type match, return the original value
         return value
 
     def import_spreadsheet(self, file):
@@ -209,4 +217,4 @@ class SampleSpreadsheetImporter:
 
         self.model = model
         logger.info(f"Finished processing {len(model)} records with {len(errors)} errors")
-        return self.model, errors, raw_data, headers  # Include headers in the response
+        return self.model, errors, raw_data, headers  # Include headers in the response