Fix inheriting annotations in dataclasses

pydantic/dataclasses.py

@@ -93,7 +93,7 @@ def dataclass(
 
 
 @dataclass_transform(field_specifiers=(dataclasses.field, Field))
-def dataclass(
+def dataclass(  # noqa: C901
     _cls: type[_T] | None = None,
     *,
     init: Literal[False] = False,
@@ -153,26 +153,33 @@ def make_pydantic_fields_compatible(cls: type[Any]) -> None:
         into
           `x: int = dataclasses.field(default=pydantic.Field(..., kw_only=True), kw_only=True)`
         """
-        # In Python < 3.9, `__annotations__` might not be present if there are no fields.
-        # we therefore need to use `getattr` to avoid an `AttributeError`.
-        for field_name in getattr(cls, '__annotations__', []):
-            field_value = getattr(cls, field_name, None)
-            # Process only if this is an instance of `FieldInfo`.
-            if not isinstance(field_value, FieldInfo):
-                continue
-
-            # Initialize arguments for the standard `dataclasses.field`.
-            field_args: dict = {'default': field_value}
-
-            # Handle `kw_only` for Python 3.10+
-            if sys.version_info >= (3, 10) and field_value.kw_only:
-                field_args['kw_only'] = True
-
-            # Set `repr` attribute if it's explicitly specified to be not `True`.
-            if field_value.repr is not True:
-                field_args['repr'] = field_value.repr
-
-            setattr(cls, field_name, dataclasses.field(**field_args))
+        for annotation_cls in cls.__mro__:
+            # In Python < 3.9, `__annotations__` might not be present if there are no fields.
+            # we therefore need to use `getattr` to avoid an `AttributeError`.
+            annotations = getattr(annotation_cls, '__annotations__', [])
+            for field_name in annotations:
+                field_value = getattr(cls, field_name, None)
+                # Process only if this is an instance of `FieldInfo`.
+                if not isinstance(field_value, FieldInfo):
+                    continue
+
+                # Initialize arguments for the standard `dataclasses.field`.
+                field_args: dict = {'default': field_value}
+
+                # Handle `kw_only` for Python 3.10+
+                if sys.version_info >= (3, 10) and field_value.kw_only:
+                    field_args['kw_only'] = True
+
+                # Set `repr` attribute if it's explicitly specified to be not `True`.
+                if field_value.repr is not True:
+                    field_args['repr'] = field_value.repr
+
+                setattr(cls, field_name, dataclasses.field(**field_args))
+                # In Python 3.8, dataclasses checks cls.__dict__['__annotations__'] for annotations,
+                # so we must make sure it's initialized before we add to it.
+                if cls.__dict__.get('__annotations__') is None:
+                    cls.__annotations__ = {}
+                cls.__annotations__[field_name] = annotations[field_name]
 
     def create_dataclass(cls: type[Any]) -> type[PydanticDataclass]:
         """Create a Pydantic dataclass from a regular dataclass.

tests/test_dataclasses.py

@@ -2759,3 +2759,88 @@ def test_disallow_init_false_and_init_var_true() -> None:
         @pydantic.dataclasses.dataclass
         class Foo:
             bar: str = Field(..., init=False, init_var=True)
+
+
+def test_annotations_valid_for_field_inheritance() -> None:
+    # testing https://github.com/pydantic/pydantic/issues/8670
+
+    @pydantic.dataclasses.dataclass()
+    class A:
+        a: int = pydantic.dataclasses.Field()
+
+    @pydantic.dataclasses.dataclass()
+    class B(A):
+        ...
+
+    assert B.__pydantic_fields__['a'].annotation is int
+
+    assert B(a=1).a == 1
+
+
+def test_annotations_valid_for_field_inheritance_with_existing_field() -> None:
+    # variation on testing https://github.com/pydantic/pydantic/issues/8670
+
+    @pydantic.dataclasses.dataclass()
+    class A:
+        a: int = pydantic.dataclasses.Field()
+
+    @pydantic.dataclasses.dataclass()
+    class B(A):
+        b: str = pydantic.dataclasses.Field()
+
+    assert B.__pydantic_fields__['a'].annotation is int
+    assert B.__pydantic_fields__['b'].annotation is str
+
+    b = B(a=1, b='b')
+    assert b.a == 1
+    assert b.b == 'b'
+
+
+def test_annotations_with_override() -> None:
+    @pydantic.dataclasses.dataclass()
+    class A:
+        a: int
+        b: int
+        c: int = pydantic.dataclasses.Field()
+        d: int = pydantic.dataclasses.Field()
+
+    # note, the order of fields is different here, as to test that the annotation
+    # is correctly set on the field no matter the base's default / current class's default
+    @pydantic.dataclasses.dataclass()
+    class B(A):
+        a: str
+        c: str
+        b: str = pydantic.dataclasses.Field()
+        d: str = pydantic.dataclasses.Field()
+
+    b = B(a='a', b='b', c='c', d='d')
+    for field_name in ['a', 'b', 'c', 'd']:
+        assert B.__pydantic_fields__[field_name].annotation is str
+        assert getattr(b, field_name) == field_name
+
+
+def test_annotation_with_double_override() -> None:
+    @pydantic.dataclasses.dataclass()
+    class A:
+        a: int
+        b: int
+        c: int = pydantic.dataclasses.Field()
+        d: int = pydantic.dataclasses.Field()
+
+    # note, the order of fields is different here, as to test that the annotation
+    # is correctly set on the field no matter the base's default / current class's default
+    @pydantic.dataclasses.dataclass()
+    class B(A):
+        a: str
+        c: str
+        b: str = pydantic.dataclasses.Field()
+        d: str = pydantic.dataclasses.Field()
+
+    @pydantic.dataclasses.dataclass()
+    class C(B):
+        ...
+
+    c = C(a='a', b='b', c='c', d='d')
+    for field_name in ['a', 'b', 'c', 'd']:
+        assert C.__pydantic_fields__[field_name].annotation is str
+        assert getattr(c, field_name) == field_name