Fix/gr regression fixes post pydantic v2 release

src/dve/core_engine/backends/utilities.py

@@ -1,5 +1,6 @@
 """Necessary, otherwise uncategorised backend functionality."""
 
+import inspect
 import sys
 from dataclasses import is_dataclass
 from datetime import date, datetime, time
@@ -41,10 +42,11 @@
 
 def is_type_complex(type_: Any) -> bool:
     """Check whether a type is a complex type or not."""
-    if type_ in (str, int, float, bool, bytes):
-        return False
+    _simple_types = (str, int, float, bool, bytes, date, datetime, time, Decimal)
 
-    if type_ in (date, datetime, time, Decimal):
+    if type_ in _simple_types or (
+        inspect.isclass(type_) and any(issubclass(type_, st) for st in _simple_types)
+    ):
         return False
 
     return True

src/dve/metadata_parser/models.py

@@ -231,7 +231,7 @@ def get_type_and_validators(
             elif hasattr(possible_python_type, "get_type_and_validators"):
                 possible_python_type: "FieldSpecification"  # type: ignore
                 nested_vals = possible_python_type.get_type_and_validators(  # type: ignore
-                    field_name, *type_mappings, schemas=schemas, is_mandatory=False
+                    field_name, *type_mappings, schemas=schemas, is_mandatory=is_mandatory
                 )
                 python_type, nested_default, nested_validators = nested_vals  # type: ignore
 

tests/test_core_engine/test_backends/test_utilities.py

@@ -1,10 +1,29 @@
-from datetime import date
+"""
+Test backend utility functions
+"""
+
+# pylint: disable=C0115,C0116
+
+from datetime import date, datetime
+from decimal import Decimal
 from typing import Any
 
 import pytest
 from pydantic import BaseModel
 
-from dve.core_engine.backends.utilities import is_field_complex
+from dve.core_engine.backends.utilities import is_field_complex, stringify_model
+from dve.metadata_parser.domain_types import FormattedDatetime
+
+
+def model_to_schema(mdl: BaseModel) -> dict[str, Any]:
+    schema = {}
+    for field_name, field_md in mdl.model_fields.items():
+        if issubclass(field_md.annotation, BaseModel):
+            schema[field_name] = model_to_schema(field_md.annotation)
+        else:
+            schema[field_name] = field_md.annotation
+
+    return schema
 
 
 class AnotherTestModel(BaseModel):
@@ -21,6 +40,23 @@ class TestModel(BaseModel):
     simple_tuple: tuple[int, str]
     another_model: AnotherTestModel
     date_example: date
+    test_fdatetime: FormattedDatetime
+
+
+class ChildMultiTypeModel(BaseModel):
+    child_test_int: int
+
+
+class MultiTypeModel(BaseModel):
+    test_str: str
+    test_int: int
+    test_dict: dict[str, int]
+    test_list: list[int]
+    test_decimal: Decimal
+    test_date: date
+    test_datetime: datetime
+    test_fdatetime: FormattedDatetime
+    test_child_model: ChildMultiTypeModel
 
 
 TEST_MODEL = TestModel(
@@ -32,7 +68,8 @@ class TestModel(BaseModel):
     simple_set={"a", "b", "c"},
     simple_tuple=(1, "wow"),
     another_model=AnotherTestModel(test_field="lemon"),
-    date_example=date(2026,1,1)
+    date_example=date(2026,1,1),
+    test_fdatetime="2026-01-01T12:30:10",
 )
 
 
@@ -47,9 +84,29 @@ class TestModel(BaseModel):
         ("simple_set", True),
         ("simple_tuple", True),
         ("another_model", True),
+        ("test_fdatetime", False),
     ]
 )
 def test_is_field_complex(field_name: str, expected: bool):
     _field = TEST_MODEL.model_fields[field_name]
     _res = is_field_complex(_field)
     assert _res == expected, f"Expected {expected}. Got {_res}."
+
+
+def test_stringify_model():
+    expected_dict = {
+        "test_str": str,
+        "test_int": str,
+        "test_dict": dict[str, str],
+        "test_list": list[str],
+        "test_decimal": str,
+        "test_date": str,
+        "test_datetime": str,
+        "test_fdatetime": str,
+        "test_child_model": {
+            "child_test_int": str
+        },
+    }
+    serialised_model_result = model_to_schema(stringify_model(MultiTypeModel))
+
+    assert expected_dict == serialised_model_result