fix the validation of the metadata

src/syngen/VERSION

@@ -1 +1 @@
-0.9.47
+0.9.48

src/syngen/ml/config/validation.py

@@ -257,12 +257,12 @@ def _check_existence_of_referenced_columns(self, table_name: str):
                 ]
                 if non_existed_columns:
                     message = (
-                        f"The 'referenced.columns' of the {config_of_key['type']} '{key}' - "
+                        f"The 'references.columns' of the {config_of_key['type']} '{key}' - "
                         f"{', '.join(non_existed_columns)} "
                         f"don't exist in the referenced table - '{referenced_table}'"
                     )
                     self.errors[
-                        "check existence of the key columns in 'referenced.columns'"
+                        "check existence of the key columns in 'references.columns'"
                     ][key] = message
 
     def _fetch_existed_columns(self, table_name: str) -> List[str]:
@@ -293,9 +293,12 @@ def _run(self):
         self.merged_metadata.pop("global", None)
         self.metadata.pop("global", None)
 
+        if self.type_of_process == "train" and self.validation_source:
+            for table_name in self.merged_metadata.keys():
+                self._gather_existed_columns(table_name)
+
         for table_name in self.merged_metadata.keys():
             if self.type_of_process == "train" and self.validation_source:
-                self._gather_existed_columns(table_name)
                 self._check_existence_of_source(table_name)
                 self._check_existence_of_key_columns(table_name)
                 self._check_existence_of_referenced_columns(table_name)

src/syngen/ml/metrics/metrics_classes/metrics.py

@@ -472,7 +472,7 @@ def get_common_min_max(original, synthetic):
 
     @staticmethod
     def __format_float_tick_labels(labels: List, nan_label: str = 'NaN') -> List:
-        labels = [nan_label if pd.isna(l) else l for l in labels]
+        labels = [nan_label if pd.isna(label) else label for label in labels]
         if all([isinstance(i, float) for i in labels]) and (
             max(labels) > 1e5 or min(labels) < 1e-03
         ):
@@ -494,8 +494,14 @@ def _plot_heatmap(
         ax = self._axes.flat[plt_index]
         ax.tick_params(labelsize=14)
         heatmap, x_tick_labels, y_tick_labels = heatmap_data
-        x_tick_labels = self.__format_float_tick_labels(x_tick_labels, self.columns_nan_labels.get(xfeature, 'NaN'))
-        y_tick_labels = self.__format_float_tick_labels(y_tick_labels, self.columns_nan_labels.get(yfeature, 'NaN'))
+        x_tick_labels = self.__format_float_tick_labels(
+            x_tick_labels,
+            self.columns_nan_labels.get(xfeature, 'NaN')
+        )
+        y_tick_labels = self.__format_float_tick_labels(
+            y_tick_labels,
+            self.columns_nan_labels.get(yfeature, 'NaN')
+        )
         ax = sns.heatmap(
             heatmap,
             xticklabels=x_tick_labels,

src/tests/unit/validation_metadata/test_validation_metadata.py

@@ -237,17 +237,6 @@ def test_validate_metadata_of_related_tables_with_fk_key_in_train_process(
         "contained only the primary key and the foreign key used in the training process"
     )
     test_metadata = {
-            "table_a": {
-                "train_settings": {
-                    "source": "path/to/table_a.csv"
-                },
-                "keys": {
-                    "pk_id": {
-                        "type": "PK",
-                        "columns": ["id"]
-                    }
-                }
-            },
             "table_b": {
                 "train_settings": {
                     "source": "path/to/table_b.csv"
@@ -266,7 +255,18 @@ def test_validate_metadata_of_related_tables_with_fk_key_in_train_process(
                         }
                     }
                 }
-            }
+            },
+            "table_a": {
+                "train_settings": {
+                    "source": "path/to/table_a.csv"
+                },
+                "keys": {
+                    "pk_id": {
+                        "type": "PK",
+                        "columns": ["id"]
+                    }
+                }
+            },
         }
     validator = Validator(
         metadata=test_metadata,
@@ -2021,8 +2021,8 @@ def test_check_not_existent_referenced_columns_in_fk(rp_logger):
         assert validator.merged_metadata == test_metadata
         assert str(error.value) == (
             "The validation of the metadata has been failed. The error(s) found in - \n"
-            "\"check existence of the key columns in 'referenced.columns'\": {\n    \"fk_id\": "
-            "\"The 'referenced.columns' of the FK 'fk_id' - 'non-existent column' don't exist "
+            "\"check existence of the key columns in 'references.columns'\": {\n    \"fk_id\": "
+            "\"The 'references.columns' of the FK 'fk_id' - 'non-existent column' don't exist "
             "in the referenced table - 'table_b'\"}"
         )
     rp_logger.info(SUCCESSFUL_MESSAGE)