fix tests

fixlib/fixlib/core/model_export.py

@@ -301,9 +301,9 @@ def literal_name(en: Enum) -> str:
 # Use this model exporter, if a dynamic object is exported
 # with given name and properties.
 def dynamic_object_to_fixcore_model(
-    name: str, properties: Dict[str, type], aggregate_root: bool = True, traverse_dependant: bool = True
+    name: str, properties: Dict[str, type], aggregate_root: bool = True, traverse_dependant: bool = True, **kwargs
 ) -> List[Json]:
-    dependant = dataclasses_to_fixcore_model(set(properties.values())) if traverse_dependant else []
+    dependant = dataclasses_to_fixcore_model(set(properties.values()), **kwargs) if traverse_dependant else []
     # append definition for top level object
     dependant.append(
         {

fixlib/test/core/model_export_test.py

@@ -125,7 +125,7 @@ def test_enum_to_model() -> None:
 
 
 def test_dataclasses_to_fixcore_model() -> None:
-    result = dataclasses_to_fixcore_model({DataClassExample})
+    result = dataclasses_to_fixcore_model({DataClassExample}, with_kind_description=True, with_prop_description=True)
     assert len(result) == 5
     for r in result:
         props = {p["name"]: p for p in r.get("properties", [])}
@@ -187,7 +187,12 @@ class GcpTestConfigConfig:
 def test_config_export():
     # Let's assume a dynamic top level object of name Config
     # The properties are defined by name and related type.
-    result = dynamic_object_to_fixcore_model("config", {"aws": AwsTestConfig, "gcp": GcpTestConfigConfig})
+    result = dynamic_object_to_fixcore_model(
+        "config",
+        {"aws": AwsTestConfig, "gcp": GcpTestConfigConfig},
+        with_kind_description=True,
+        with_prop_description=True,
+    )
     result_dict = {a["fqn"]: a for a in result}
     assert len(result_dict["gcp_config"]["properties"]) == 1
     assert len(result_dict["aws_config"]["properties"]) == 2