✅ test: Re-enable data validation for Tables

ixmp4/data/db/optimization/table/model.py

@@ -26,7 +26,9 @@ class Table(base.BaseModel):
 
     @validates("data")
     def validate_data(self, key: Any, data: dict[str, Any]) -> dict[str, Any]:
-        utils.validate_data(host=self, data=data, columns=self.columns)
+        utils.validate_data(
+            host=self, data=data, columns=self.columns, has_values_and_units=False
+        )
         return data
 
     __table_args__ = (db.UniqueConstraint("name", "run__id"),)

ixmp4/data/db/optimization/utils.py

@@ -24,11 +24,14 @@ def validate_data(
     data: dict[str, Any],
     columns: list["Column"],
     column_names: list[str] | None = None,
+    has_values_and_units: bool = True,
 ) -> None:
     data_frame = pd.DataFrame.from_dict(data)
 
-    # We don't want to validate "values" and "units"
-    number_columns = len(data_frame.columns) - 2
+    # We don't want to validate "values" and "units" when they are present
+    number_columns = (
+        len(data_frame.columns) - 2 if has_values_and_units else len(data_frame.columns)
+    )
 
     # TODO for all of the following, we might want to create unique exceptions
     # Could me make both more specific by specifiying missing/extra columns?