Module Objects Are Global!

Module objects are world! One in all my favorite kinds of bugs is when a test that seems fully unrelated to a code change fails. I've trained myself to search for the common causes, often having to deal with shared state because of a test missing a correct teardown. But this week, I had a new kind of failure, one to do with module objects and how Python's import mechanism works, which, should you did not know, can also be one in every of my favourite issues. I have been experimenting with faker, a bundle for generating random phone numbers, electronic mail addresses, and so forth, to be used in assessments. My purpose was to have a large surface space of telephone numbers used throughout checks, but additionally for each test to use the identical cellphone quantity(s) each test run. Here, I'm seeding the Faker instance so we get the same telephone number for each name. Having to do this in the setup for every check, though, seemed like a variety of tedious work, and doubtless straightforward to forget, so I wanted to see if I might build a nostril plugin that may seed a Faker instance for me primarily based on the hash of the check name.

I ran our entire check suite, and a check that did not use faker mysteriously started failing on account of an invalid cellphone number. I immediately recognize that this has some risk to generate an invalid telephone quantity (999 is not a sound area code). I strive operating the test suite again, assuming that there's a small probability that this check will fail, and perhaps I just bought unlucky. Nope, it failed a second time. No matter how many instances I run the check suite, this check fails. Does seeding faker additionally seed random? Aha! So faker seeds random. But how does that work? Time to look at the supply for faker to see how seed works. This should mean that the random imported in a is the same module object as the random imported in b. So if this is the case, we are able to do things like add attributes to random in one module, and access them in another module. After we strive running b.py, will we get a NameError? Or does this resolve and print "hello!"? Neat. So module objects are world. If you are pondering that it's in all probability bad that seeding faker has aspect-effects outdoors of faker, you're proper! Here's a ticket explaining why this is an issue and some attainable solutions.

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