I\'m testing a Flask application that have some SQLAlchemy models using Flask-SQLAlchemy and I\'m having some problems trying to mock a few models to some methods that receive s
I found another way around this problem. The basic idea is to control the access to static attributes. I used pytest and mocker, but the code could be adapted to use unittest.
Let's look at a working code example and than explain it:
import pytest
import datetime
import database
from actions import get_user_age
@pytest.fixture
def mock_user_class(mocker):
class MockedUserMeta(type):
static_instance = mocker.MagicMock(spec=database.User)
def __getattr__(cls, key):
return MockedUserMeta.static_instance.__getattr__(key)
class MockedUser(metaclass=MockedUserMeta):
original_cls = database.User
instances = []
def __new__(cls, *args, **kwargs):
MockedUser.instances.append(
mocker.MagicMock(spec=MockedUser.original_cls))
MockedUser.instances[-1].__class__ = MockedUser
return MockedUser.instances[-1]
mocker.patch('database.User', new=MockedUser)
class TestModels:
def test_test_get_user_age(self, mock_user_class):
user = database.User()
user.birthday = datetime.date(year=1987, month=12, day=1)
print(get_user_age(user))
The test is pretty clear and to the point. The fixture does all the heavy lifting:
MockedUser
would replace the original User
class - it would create a new mock object with the right spec every time it's neededMockedUserMeta
has to be explained a bit further: SQLAlchemy has a nasty syntax which involves static functions. Imagine your tested code has a line similar to this from_db = User.query.filter(User.id == 20).one()
, you should have a way to mock the response: MockedUserMeta.static_instance.query.filter.return_value.one.return_value.username = 'mocked_username'
This is the best method that I found which allows to have tests without any db access and without any flask app, while allowing to mock SQLAlchemy query results.
Since I don't like writing this boilerplate over and over, I have created a helper library to do it for me. Here is the code I wrote to generate the needed stuff for your example:
from mock_autogen.pytest_mocker import PytestMocker
print(PytestMocker(database).mock_classes().mock_classes_static().generate())
The output is:
class MockedUserMeta(type):
static_instance = mocker.MagicMock(spec=database.User)
def __getattr__(cls, key):
return MockedUserMeta.static_instance.__getattr__(key)
class MockedUser(metaclass=MockedUserMeta):
original_cls = database.User
instances = []
def __new__(cls, *args, **kwargs):
MockedUser.instances.append(mocker.MagicMock(spec=MockedUser.original_cls))
MockedUser.instances[-1].__class__ = MockedUser
return MockedUser.instances[-1]
mocker.patch('database.User', new=MockedUser)
Which is exactly what I needed to place in my fixture.