Update integer boundaries for ID columns (#2282)

Author: R-Palazzo

sdv/data_processing/data_processor.py

@@ -22,13 +22,12 @@
 )
 from sdv.data_processing.datetime_formatter import DatetimeFormatter
 from sdv.data_processing.errors import InvalidConstraintsError, NotFittedError
-from sdv.data_processing.numerical_formatter import INTEGER_BOUNDS, NumericalFormatter
+from sdv.data_processing.numerical_formatter import NumericalFormatter
 from sdv.data_processing.utils import load_module_from_path
 from sdv.errors import SynthesizerInputError, log_exc_stacktrace
 from sdv.metadata.single_table import SingleTableMetadata
 
 LOGGER = logging.getLogger(__name__)
-INTEGER_BOUNDS = {str(key).lower(): value for key, value in INTEGER_BOUNDS.items()}
 
 
 class DataProcessor:
@@ -70,8 +69,6 @@ class DataProcessor:
         'M': 'datetime',
     }
 
-    _COLUMN_RELATIONSHIP_TO_TRANSFORMER = {'address': 'RandomLocationGenerator', 'gps': 'GPSNoiser'}
-
     def _update_numerical_transformer(self, enforce_rounding, enforce_min_max_values):
         custom_float_formatter = rdt.transformers.FloatFormatter(
             missing_value_replacement='mean',
@@ -124,6 +121,10 @@ def __init__(
         self._constraints = []
         self._constraints_to_reverse = []
         self._custom_constraint_classes = {}
+        self._COLUMN_RELATIONSHIP_TO_TRANSFORMER = {
+            'address': 'RandomLocationGenerator',
+            'gps': 'GPSNoiser',
+        }
 
         self._transformers_by_sdtype = deepcopy(get_default_transformers())
         self._transformers_by_sdtype['id'] = rdt.transformers.RegexGenerator()
@@ -575,11 +576,11 @@ def _create_config(self, data, columns_created_by_constraints):
                     if is_numeric:
                         function_name = 'random_int'
                         column_dtype = str(column_dtype).lower()
-                        function_kwargs = {'min': 0, 'max': 9999999}
-                        for key in INTEGER_BOUNDS:
-                            if key in column_dtype:
-                                _, max_value = INTEGER_BOUNDS[key]
-                                function_kwargs = {'min': 0, 'max': max_value}
+                        function_kwargs = {'min': 0, 'max': 16777216}
+                        if 'int8' in column_dtype:
+                            function_kwargs['max'] = 127
+                        elif 'int16' in column_dtype:
+                            function_kwargs['max'] = 32767
 
                     else:
                         function_kwargs = {'text': 'sdv-id-??????'}

tests/integration/single_table/test_copulas.py

@@ -348,16 +348,16 @@ def test_numerical_columns_gets_pii():
     # Assert
     expected_sampled = pd.DataFrame({
         'id': [
-            1089619006166876142,
-            8373046707753416652,
-            9070705361670139280,
-            7227045982112645011,
-            3461931576753619633,
-            1005734164466301683,
-            3312031189447929384,
-            82456842876428117,
-            1819741328868365520,
-            8019169766233150107,
+            1982005,
+            15967014,
+            10406639,
+            15230483,
+            14028549,
+            16499516,
+            9244156,
+            13145920,
+            10106629,
+            6297216,
         ],
         'city': [
             'Danielfort',

tests/unit/data_processing/test_data_processor.py

@@ -1258,7 +1258,7 @@ def test__create_config(self):
         assert id_numeric_int_32_transformer.function_name == 'random_int'
         assert id_numeric_int_32_transformer.function_kwargs == {
             'min': 0,
-            'max': 2147483647,
+            'max': 16777216,
         }
 
         id_column_transformer = config['transformers']['id_column']