Function test_config_model_defer_build_nested

tests/test_config.py:820–858

(defer_build: bool, generate_schema_calls: CallCounter)

@pytest.mark.parametrize('defer_build', [True, False])
def test_config_model_defer_build_nested(defer_build: bool, generate_schema_calls: CallCounter):
    config = ConfigDict(defer_build=defer_build)

    assert generate_schema_calls.count == 0

    class MyNestedModel(BaseModel):
        model_config = config
        x: int

    class MyModel(BaseModel):
        y: MyNestedModel

    assert isinstance(MyModel.__pydantic_validator__, SchemaValidator)
    assert isinstance(MyModel.__pydantic_serializer__, SchemaSerializer)

    expected_schema_count = 1 if defer_build is True else 2
    assert generate_schema_calls.count == expected_schema_count, 'Should respect defer_build'

    if defer_build:
        assert isinstance(MyNestedModel.__pydantic_validator__, MockValSer)
        assert isinstance(MyNestedModel.__pydantic_serializer__, MockValSer)
    else:
        assert isinstance(MyNestedModel.__pydantic_validator__, SchemaValidator)
        assert isinstance(MyNestedModel.__pydantic_serializer__, SchemaSerializer)

    m = MyModel(y={'x': 1})
    assert m.y.x == 1
    assert m.model_dump() == {'y': {'x': 1}}
    assert m.model_validate({'y': {'x': 1}}).y.x == 1
    assert m.model_json_schema()['type'] == 'object'

    if defer_build:
        assert isinstance(MyNestedModel.__pydantic_validator__, MockValSer)
        assert isinstance(MyNestedModel.__pydantic_serializer__, MockValSer)
    else:
        assert isinstance(MyNestedModel.__pydantic_validator__, SchemaValidator)
        assert isinstance(MyNestedModel.__pydantic_serializer__, SchemaSerializer)

    assert generate_schema_calls.count == expected_schema_count, 'Should not build duplicated core schemas'


def test_config_model_defer_build_ser_first():