Hi there, I first would like to thank everybody very much for the interesting and elaborated answers to my last questions! I learned a lot about registries and think that for now `plone.testing` (which in fact we hadn't had on the screen) will help to solve some of the most urgent issues we have with zope.pytest currently. So, thank you very much!
A sidenote: IMO it would be nice to have proper deletion of registrations in the long run as well and I am willing to help as good as I can with that, even if that would mean much work. The 'just-setup-your-layers-more-carefully'-solution is a bit tricky in testing-frameworks without layers ;-) Wolfgang Schnerring wrote: [snip] > > Are there already possibilities to mimic testlayer-like behaviour in > > `pytest` which we simply overlooked? > > An honest counter question: Why not use zope.testrunner? What > advantages does py.test offer? Due to my limited experience with py.test I'm certainly not in a position to answer that comprehensively. I personally use zope.testrunner and layers happily in most of my projects. zope.pytest is currently certainly more a try to see what's possible with other approaches than zope.testrunner and some features of py.test are really promising IMO. The (limited) experiences with py.test, however, were awesome. Some points that are quite cool IMHO: - Easy finding of tests: just write some ``test_function`` in a ``test_module`` and it will be found and executed. That also makes py.test tests more readable and maybe more intuitive. - Lots of setup code (unrelated to fixtures) can simply be skipped. No need to do the ``testsuite = <complex-testcase-collecting>`` over and over again. Maybe the main point of py.test. - py.test is more widespread in the Python community (that's my impression; I can't proof it) - Support of unittest/unittest2: you can write standard lib setups (defining TestCases; no need to also write testsuite-setup stuff) and they will be found/executed. zope.testrunner for instance does not support the new `setUpClass`/`tearDownClass` concept of unittest2 (yes, you would use layers in that case; but it might be nice if zope.testrunner would support also class-wide fixtures in unittest2-style; people from other worlds might expect that to work). - `assert` works like you would expect it to work in tests. No need to use `self.assertEqual()`` and friends (but you can if you prefer). - It was very easy to run py.test from the Sphinx doctest builder which made it possible to test documentation on a quite complex level. That might be possible with zope.testrunner as well (but I never tried that; wait - I tried once and it worked, but was more complex to setup IIRC). I see that this is a very special usecase. That said I'd like to stress that I would not say that py.test is superior to zope.testrunner in general. I only enjoyed the first experiences with py.test very much and could imagine that it would be a pleasure for others too. Other things, however, meant less fun. Main drawbacks I see on py.test side are: - Lack of layer support (yet). Maybe we can do something about that in `zope.pytest` based on `plone.testing.layer`. - Limited doctest support. It is quite difficult (AFAIK) to define fixtures for doctests or to even set the usual doctest options (``ELLIPSIS``, ``NORMALIZE_WHITESPACE``, ...) at setup time. Doctests are simply collected and executed and not much finetuning is possible. My very own concern about the latter point is: if this cannot be solved satisfactorily (in terms of readability and ease of use at least), py.test will not become a really hot candidate in the testing framework game on the Zope side at all. There are too many doctests used already and whether you like them or not: every testing framework used should offer at least minimal support for doctest fixtures and doctest options. But I might just have missed these features in py.test and they are provided already. For now I think that there is absolutely no need to think about a general move to py.test for the ztk. I guess Martijn or others with more py.test experience could say more concerning the pros and cons of py.test from daily work use. [snip] Best regards, -- Uli
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