Test pydantic warnings when accessing model_computed_fields

fasthx/jinja.py

@@ -70,10 +70,11 @@ def unpack_object(cls, obj: Any) -> dict[str, Any]:
         if hasattr(obj, "__dict__"):
             # Covers Pydantic models and standard classes.
             object_keys = obj.__dict__.keys()
-            if hasattr(type(obj), "model_computed_fields"):  # Pydantic computed fields support.
+            cls = type(obj)
+            if hasattr(cls, "model_computed_fields"):  # Pydantic computed fields support.
                 object_keys = [
                     *(() if object_keys is None else object_keys),
-                    *type(obj).model_computed_fields,
+                    *cls.model_computed_fields,
                 ]
         elif hasattr(obj, "__slots__"):
             # Covers classes with with __slots__.

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "fasthx"
-version = "2.3.1"
+version = "2.3.2"
 description = "FastAPI server-side rendering with built-in HTMX support."
 authors = ["Peter Volf <[email protected]>"]
 readme = "README.md"

tests/test_jinja.py

@@ -294,7 +294,9 @@ class Model(BaseModel):
             def random_number(self) -> int:
                 return 4
 
-        with warnings.catch_warnings():
-            warnings.simplefilter("error")
+        with warnings.catch_warnings(record=True) as w:
+            warnings.simplefilter("always")
             context = JinjaContext.unpack_object(Model(name="Eric"))
+            assert len(w) == 0
+
         assert context == {"name": "Eric", "random_number": 4}