Reverse transform constraints later in the DataProcessor (#1511)

* Move contraint reverese_transform order

* Remove uneeded file

* Add comment

* Remove mistake

sdv/data_processing/data_processor.py

@@ -699,9 +699,6 @@ def reverse_transform(self, data, reset_keys=False):
         except rdt.errors.NotFittedError:
             LOGGER.info(f'HyperTransformer has not been fitted for table {self.table_name}')
 
-        for constraint in reversed(self._constraints_to_reverse):
-            reversed_data = constraint.reverse_transform(reversed_data)
-
         num_rows = len(reversed_data)
         sampled_columns = list(reversed_data.columns)
         missing_columns = [
@@ -720,7 +717,15 @@ def reverse_transform(self, data, reset_keys=False):
             generated_keys = self.generate_keys(num_rows, reset_keys)
             sampled_columns.extend(self._keys)
 
-        # Sort the sampled columns in the order of the metadata
+        for constraint in reversed(self._constraints_to_reverse):
+            reversed_data = constraint.reverse_transform(reversed_data)
+
+        # Add new columns generated by the constraint
+        new_columns = list(set(reversed_data.columns) - set(sampled_columns))
+        sampled_columns.extend(new_columns)
+
+        # Sort the sampled columns in the order of the metadata.
+        # Any extra columns not present in the metadata will be dropped.
         # In multitable there may be missing columns in the sample such as foreign keys
         # And alternate keys. Thats the reason of ensuring that the metadata column is within
         # The sampled columns.