Fix issue with config behavior being baked into the ref schema for en…

…ums (#8920)

Co-authored-by: sydney-runkle <sydneymarierunkle@gmail.com>

pydantic/_internal/_std_types_schema.py

@@ -81,28 +81,19 @@ def get_json_schema(_, handler: GetJsonSchemaHandler) -> JsonSchemaValue:
         # so that we can still generate a valid json schema.
         return core_schema.is_instance_schema(enum_type, metadata={'pydantic_js_functions': [get_json_schema]})
 
-    use_enum_values = config.get('use_enum_values', False)
-
     if len(cases) == 1:
         expected = repr(cases[0].value)
     else:
         expected = ', '.join([repr(case.value) for case in cases[:-1]]) + f' or {cases[-1].value!r}'
 
     def to_enum(__input_value: Any) -> Enum:
         try:
-            enum_field = enum_type(__input_value)
-            if use_enum_values:
-                return enum_field.value
-            return enum_field
+            return enum_type(__input_value)
         except ValueError:
             # The type: ignore on the next line is to ignore the requirement of LiteralString
             raise PydanticCustomError('enum', f'Input should be {expected}', {'expected': expected})  # type: ignore
 
     strict_python_schema = core_schema.is_instance_schema(enum_type)
-    if use_enum_values:
-        strict_python_schema = core_schema.chain_schema(
-            [strict_python_schema, core_schema.no_info_plain_validator_function(lambda x: x.value)]
-        )
 
     to_enum_validator = core_schema.no_info_plain_validator_function(to_enum)
     if issubclass(enum_type, int):
@@ -132,9 +123,16 @@ def to_enum(__input_value: Any) -> Enum:
     else:
         lax = to_enum_validator
         strict = core_schema.json_or_python_schema(json_schema=to_enum_validator, python_schema=strict_python_schema)
-    return core_schema.lax_or_strict_schema(
+    enum_schema = core_schema.lax_or_strict_schema(
         lax_schema=lax, strict_schema=strict, ref=enum_ref, metadata={'pydantic_js_functions': [get_json_schema]}
     )
+    use_enum_values = config.get('use_enum_values', False)
+    if use_enum_values:
+        enum_schema = core_schema.chain_schema(
+            [enum_schema, core_schema.no_info_plain_validator_function(lambda x: x.value)]
+        )
+
+    return enum_schema
 
 
 @dataclasses.dataclass(**slots_true)

tests/test_types.py

@@ -6410,3 +6410,22 @@ def test_on_error_omit_top_level() -> None:
     # if it hits the top level, but this documents the current behavior at least
     with pytest.raises(SchemaError, match='Uncaught Omit error'):
         ta.validate_python('a')
+
+
+def test_diff_enums_diff_configs() -> None:
+    class MyEnum(str, Enum):
+        A = 'a'
+
+    class MyModel(BaseModel, use_enum_values=True):
+        my_enum: MyEnum
+
+    class OtherModel(BaseModel):
+        my_enum: MyEnum
+
+    class Model(BaseModel):
+        my_model: MyModel
+        other_model: OtherModel
+
+    obj = Model.model_validate({'my_model': {'my_enum': 'a'}, 'other_model': {'my_enum': 'a'}})
+    assert not isinstance(obj.my_model.my_enum, MyEnum)
+    assert isinstance(obj.other_model.my_enum, MyEnum)