I have some similar unit tests in python. There are so similar that only one argument is changing.
class TestFoo(TestCase):
def test_typeA(self):
self.assertTrue(foo(bar=TYPE_A))
def test_typeB(self):
self.assertTrue(foo(bar=TYPE_B))
def test_typeC(self):
self.assertTrue(foo(bar=TYPE_C))
...
Obviously this is not very DRY, and if you have even 4-5 different options the code is going to be very repetitive
Now I could do something like this
class TestFoo(TestCase):
BAR_TYPES = (
TYPE_A,
TYPE_B,
TYPE_C,
...
)
def _foo_test(self, bar_type):
self.assertTrue(foo(bar=bar_type))
def test_foo_bar_type(self):
for bar_type in BAR_TYPES:
_foo_test(bar=bar_type))
Which works, however when an exception gets raised, how will I know whether _foo_test failed with argument TYPE_A, TYPE_B or TYPE_C ?
Perhaps there is a better way of structuring these very similar tests?
What are you trying to do is essentially a parameterized test. This feature isn't included in standard django or python unittest modules, but a number of libs provide it: nose-parameterized, py.test, ddt
My favorite so far is ddt: it resembles NUnit-JUnit style parameterized tests most, pretty lightweight, don't get in your way and does not require dedicated test runner (like nose-parameterized do). The way it can help you is that it modifies test name to include all parameters, so you would clearly see which test case failed by looking at a test name.
With ddt your example would look like this:
import ddt
@ddt.ddt
class TestProcessCreateAgencyOfferAndDispatch(TestCase):
@ddt.data(TYPE_A, TYPE_B, TYPE_C)
def test_foo_bar_type(self, type):
self.assertTrue(foo(bar=type))
In such case names will look like test_foo_bar_type__TYPE_A (technically, it constructs it something like [test_name]__[repr(parameter_1)]__[repr(parameter_2)]).
As a bonus, it is much cleaner (no helper method), and you get three methods instead of one. The advantage here is that you can test various code paths in a method and get one test case per each path (but a certain amount of thinking is needed, sometimes it's better to have a dedicated test for some of code paths)
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