使用@pytest.fixtures（函数）作为参数编写测试？

Question

@pytest.fixture(scope="session")
def create_user_access_token():
    """ Used to test: refresh and revoke endpoints"""
    response_data = oauth_requests.create_user_access_token()
    return response_data["token"]


@pytest.fixture(scope="session")
def create_client_access_token():
    """ Used to test: refresh and revoke endpoints"""
    response_data = oauth_requests.create_client_access_token()
    return response_data["token"]


@pytest.mark.parameterize('token', [create_client_access_token, create_user_access_token]
def test(token):
    return_data = check(token)
    assert return_data.status_code == 200

I understand it's not possible to do the above but how can I replicate this feature? The tests I am writing are identical for both tokens.

the fixtures are functions and request the API to create said token.

Answer 1

@mrBeanBremen Already started refactoring my code with the singleton pattern:). am leaving the function calls separate for flexibility. Thanks!

class Tokens:
    __instance = None

    def __new__(cls, user_token, client_token):
        if cls.__instance is None:
            cls.__instance = object.__new__(cls)
        cls.__instance.user_token = user_token
        cls.__instance.client_token = client_token
        return cls.__instance