Make x-model extension optional

Author: p1c2u

docs/extensions.rst

@@ -4,15 +4,35 @@ Extensions
 x-model
 -------
 
-By default, objects are unmarshalled to dynamically created dataclasses. You can use your own dataclasses, pydantic models or models generated by third party generators (i.e. `datamodel-code-generator <https://github.com/koxudaxi/datamodel-code-generator>`__) by providing ``x-model`` property inside schema definition with location of your class.
+By default, objects are unmarshalled to dictionaries. You can use dynamically created dataclasses.
 
 .. code-block:: yaml
 
    ...
    components:
      schemas:
        Coordinates:
-         x-model: foo.bar.Coordinates
+         x-model: Coordinates
+         type: object
+         required:
+           - lat
+           - lon
+         properties:
+           lat:
+             type: number
+           lon:
+             type: number
+
+
+You can use your own dataclasses, pydantic models or models generated by third party generators (i.e. `datamodel-code-generator <https://github.com/koxudaxi/datamodel-code-generator>`__) by providing ``x-model-path`` property inside schema definition with location of your class.
+
+.. code-block:: yaml
+
+   ...
+   components:
+     schemas:
+       Coordinates:
+         x-model-path: foo.bar.Coordinates
          type: object
          required:
            - lat

openapi_core/extensions/models/factories.py

@@ -9,43 +9,40 @@
 from typing import Type
 
 from openapi_core.extensions.models.types import Field
+from openapi_core.spec import Spec
 
 
 class DictFactory:
 
     base_class = dict
 
-    def create(self, fields: Iterable[Field]) -> Type[Dict[Any, Any]]:
+    def create(
+        self, schema: Spec, fields: Iterable[Field]
+    ) -> Type[Dict[Any, Any]]:
         return self.base_class
 
 
-class DataClassFactory(DictFactory):
+class ModelFactory(DictFactory):
     def create(
         self,
+        schema: Spec,
         fields: Iterable[Field],
-        name: str = "Model",
     ) -> Type[Any]:
+        name = schema.getkey("x-model")
+        if name is None:
+            return super().create(schema, fields)
+
         return make_dataclass(name, fields, frozen=True)
 
 
-class ModelClassImporter(DataClassFactory):
+class ModelPathFactory(ModelFactory):
     def create(
         self,
+        schema: Spec,
         fields: Iterable[Field],
-        name: str = "Model",
-        model: Optional[str] = None,
     ) -> Any:
-        if model is None:
-            return super().create(fields, name=name)
-
-        model_class = self._get_class(model)
-        if model_class is not None:
-            return model_class
-
-        return super().create(fields, name=model)
+        model_class_path = schema.getkey("x-model-path")
+        if model_class_path is None:
+            return super().create(schema, fields)
 
-    def _get_class(self, model_class_path: str) -> Optional[object]:
-        try:
-            return locate(model_class_path)
-        except ErrorDuringImport:
-            return None
+        return locate(model_class_path)

openapi_core/unmarshalling/schemas/unmarshallers.py

@@ -18,7 +18,7 @@
 from openapi_schema_validator._format import oas30_format_checker
 from openapi_schema_validator._types import is_string
 
-from openapi_core.extensions.models.factories import ModelClassImporter
+from openapi_core.extensions.models.factories import ModelPathFactory
 from openapi_core.schema.schemas import get_all_properties
 from openapi_core.spec import Spec
 from openapi_core.unmarshalling.schemas.datatypes import FormattersDict
@@ -199,15 +199,14 @@ class ObjectUnmarshaller(ComplexUnmarshaller):
     }
 
     @property
-    def object_class_factory(self) -> ModelClassImporter:
-        return ModelClassImporter()
+    def object_class_factory(self) -> ModelPathFactory:
+        return ModelPathFactory()
 
     def unmarshal(self, value: Any) -> Any:
         properties = self.unmarshal_raw(value)
 
-        model = self.schema.getkey("x-model")
         fields: Iterable[str] = properties and properties.keys() or []
-        object_class = self.object_class_factory.create(fields, model=model)
+        object_class = self.object_class_factory.create(self.schema, fields)
 
         return object_class(**properties)
 

tests/integration/data/v3.0/petstore.yaml

@@ -233,6 +233,7 @@ paths:
 components:
   schemas:
     Coordinates:
+      x-model: Coordinates
       type: object
       required:
         - lat
@@ -243,6 +244,7 @@ components:
         lon:
           type: number
     Userdata:
+      x-model: Userdata
       type: object
       required:
         - name

tests/integration/data/v3.0/read_only_write_only.yaml

@@ -23,6 +23,7 @@ paths:
 components:
   schemas:
     User:
+      x-model: User
       type: object
       required:
         - id

tests/integration/validation/test_petstore.py

@@ -644,7 +644,7 @@ def test_get_pets_param_coordinates(self, spec):
         assert is_dataclass(result.parameters.query["coordinates"])
         assert (
             result.parameters.query["coordinates"].__class__.__name__
-            == "Model"
+            == "Coordinates"
         )
         assert result.parameters.query["coordinates"].lat == coordinates["lat"]
         assert result.parameters.query["coordinates"].lon == coordinates["lon"]
@@ -705,7 +705,8 @@ def test_post_birds(self, spec, spec_dict):
 
         assert is_dataclass(result.parameters.cookie["userdata"])
         assert (
-            result.parameters.cookie["userdata"].__class__.__name__ == "Model"
+            result.parameters.cookie["userdata"].__class__.__name__
+            == "Userdata"
         )
         assert result.parameters.cookie["userdata"].name == "user1"
 

tests/integration/validation/test_read_only_write_only.py

@@ -51,7 +51,7 @@ def test_read_only_property_response(self, spec):
 
         assert not result.errors
         assert is_dataclass(result.data)
-        assert result.data.__class__.__name__ == "Model"
+        assert result.data.__class__.__name__ == "User"
         assert result.data.id == 10
         assert result.data.name == "Pedro"
 
@@ -73,7 +73,7 @@ def test_write_only_property(self, spec):
 
         assert not result.errors
         assert is_dataclass(result.body)
-        assert result.body.__class__.__name__ == "Model"
+        assert result.body.__class__.__name__ == "User"
         assert result.body.name == "Pedro"
         assert result.body.hidden == False
 

tests/integration/validation/test_validators.py

@@ -536,6 +536,7 @@ def test_request_object_deep_object_params(self, spec, spec_dict):
                 "in": "query",
                 "required": True,
                 "schema": {
+                    "x-model": "paramObj",
                     "type": "object",
                     "properties": {
                         "count": {"type": "integer"},

tests/unit/extensions/test_factories.py

@@ -6,7 +6,8 @@
 
 import pytest
 
-from openapi_core.extensions.models.factories import ModelClassImporter
+from openapi_core.extensions.models.factories import ModelPathFactory
+from openapi_core.spec import Spec
 
 
 class TestImportModelCreate:
@@ -24,18 +25,20 @@ class BarModel:
         del modules["foo"]
 
     def test_dynamic_model(self):
-        factory = ModelClassImporter()
+        factory = ModelPathFactory()
 
-        test_model_class = factory.create(["name"], model="TestModel")
+        schema = Spec.from_dict({"x-model": "TestModel"})
+        test_model_class = factory.create(schema, ["name"])
 
         assert is_dataclass(test_model_class)
         assert test_model_class.__name__ == "TestModel"
         assert list(test_model_class.__dataclass_fields__.keys()) == ["name"]
         assert test_model_class.__dataclass_fields__["name"].type == str(Any)
 
-    def test_imported_model(self, loaded_model_class):
-        factory = ModelClassImporter()
+    def test_model_path(self, loaded_model_class):
+        factory = ModelPathFactory()
 
-        test_model_class = factory.create(["a", "b"], model="foo.BarModel")
+        schema = Spec.from_dict({"x-model-path": "foo.BarModel"})
+        test_model_class = factory.create(schema, ["a", "b"])
 
         assert test_model_class == loaded_model_class