jambo/parser/anyof_type_parser.py

@@ -31,7 +31,7 @@ class AnyOfTypeParser(GenericTypeParser):
 
         sub_types = [
             GenericTypeParser.type_from_properties(
-                f"{name}_sub{i}", subProperty, **kwargs
+                f"{name}.sub{i}", subProperty, **kwargs
             )
             for i, subProperty in enumerate(sub_properties)
         ]

jambo/parser/object_type_parser.py

@@ -67,7 +67,7 @@ class ObjectTypeParser(GenericTypeParser):
             return model
 
         model_config = ConfigDict(validate_assignment=True)
-        fields = cls._parse_properties(properties, required_keys, **kwargs)
+        fields = cls._parse_properties(name, properties, required_keys, **kwargs)
 
         model = create_model(name, __config__=model_config, **fields)  # type: ignore
 
@@ -84,6 +84,7 @@ class ObjectTypeParser(GenericTypeParser):
     @classmethod
     def _parse_properties(
         cls,
+        name: str,
         properties: dict[str, JSONSchema],
         required_keys: list[str],
         **kwargs: Unpack[TypeParserOptions],
@@ -91,15 +92,15 @@ class ObjectTypeParser(GenericTypeParser):
         required_keys = required_keys or []
 
         fields = {}
-        for name, prop in properties.items():
+        for field_name, field_prop in properties.items():
             sub_property: TypeParserOptions = kwargs.copy()
-            sub_property["required"] = name in required_keys
+            sub_property["required"] = field_name in required_keys
 
             parsed_type, parsed_properties = GenericTypeParser.type_from_properties(
-                name,
-                prop,
+                f"{name}.{field_name}",
+                field_prop,
                 **sub_property,  # type: ignore
             )
-            fields[name] = (parsed_type, Field(**parsed_properties))
+            fields[field_name] = (parsed_type, Field(**parsed_properties))
 
         return fields

tests/test_schema_converter.py

@@ -942,3 +942,59 @@ class TestSchemaConverter(TestCase):
         cached_model = self.converter.get_cached_ref("NonExistentModel")
 
         self.assertIsNone(cached_model)
+
+    def test_get_type_from_cache_nested_type(self):
+        schema = {
+            "title": "Person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+                "address": {
+                    "type": "object",
+                    "properties": {
+                        "street": {"type": "string"},
+                        "city": {"type": "string"},
+                    },
+                    "required": ["street", "city"],
+                },
+            },
+            "required": ["name", "age", "address"],
+        }
+
+        model = self.converter.build_with_instance(schema)
+
+        cached_model = self.converter.get_cached_ref("Person.address")
+
+        self.assertIsNotNone(cached_model)
+        self.assertIs(model.model_fields["address"].annotation, cached_model)
+
+    def test_get_type_from_cache_with_def(self):
+        schema = {
+            "title": "person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+                "address": {"$ref": "#/$defs/address"},
+            },
+            "$defs": {
+                "address": {
+                    "type": "object",
+                    "properties": {
+                        "street": {"type": "string"},
+                        "city": {"type": "string"},
+                    },
+                    "required": ["street", "city"],
+                }
+            },
+        }
+
+        person_model = self.converter.build_with_instance(schema)
+        cached_person_model = self.converter.get_cached_ref("person")
+
+        self.assertIs(person_model, cached_person_model)
+
+        cached_address_model = self.converter.get_cached_ref("address")
+
+        self.assertIsNotNone(cached_address_model)