return mod_path


@pytest.fixture(name="main_mod")
def get_main_mod(mod_path: str) -> ModuleType:
    main_mod = importlib.import_module(f"{mod_path}.main")
    return main_mod


def test_settings(main_mod: ModuleType, monkeypatch: MonkeyPatch):
    monkeypatch.setenv("ADMIN_EMAIL", "******@****.***")
    settings = main_mod.get_settings()
    assert settings.app_name == "Awesome API"

@pytest.fixture(name="main_mod")
def get_main_mod(mod_path: str) -> ModuleType:
    main_mod = importlib.import_module(f"{mod_path}.main")
    return main_mod


@pytest.fixture(name="test_main_mod")
def get_test_main_mod(mod_path: str) -> ModuleType:
    test_main_mod = importlib.import_module(f"{mod_path}.test_main")
    return test_main_mod


def test_settings(main_mod: ModuleType, monkeypatch: MonkeyPatch):

    if mod_name in sys.modules:
        del sys.modules[mod_name]
    monkeypatch.setenv("ADMIN_EMAIL", "******@****.***")
    main_mod = importlib.import_module(mod_name)
    return TestClient(main_mod.app)


def test_settings_validation_error(mod_name: str, monkeypatch: MonkeyPatch):
    monkeypatch.delenv("ADMIN_EMAIL", raising=False)
    if mod_name in sys.modules:

        MetaGraphs has been deprecated. Please use the equivalent main_op
        argument instead. As part of this, we now explicitly check for a single
        main_op or legacy_init_op at the time of SavedModel building, whereas
        the check on main_op was previously only done at load time.
    *   The protocol used for Estimator training is now configurable in
        RunConfig.