A small library for loading unittest fixtures
Project description
unittest-fixtures: A small library for loading unittest fixtures
Description
unittest-fixtures spun off from my Gentoo Build
Publisher project. I use
unittest, the test
framework in the Python standard library, where it's customary to define a
TestCase's fixtures in the .setUp() method. Having done it this way for
years, it occurred to me one day that this goes against
OCP. What if
instead of cracking open the .setUp() method to add a fixture to a TestCase
one could instead add a decorator? That's what unittest-fixtures allows one
to do.
from unittest_fixtures import given
@given(dog)
class MyTest(TestCase):
def test_method(self, fixtures):
dog = fixtures.dog
In the above example, dog is a fixture function. Fixture functions are
passed to the given decorator. When the test method is run, the fixtures are
"instantiated" and attached to the fixtures keyword argument of the test
method.
Fixture functions
Fixture functions are functions that one defines that return a "fixture". For example the above dog fixture might look like this:
from unittest_fixtures import fixture
@fixture()
def dog(fixtures):
return Dog(name="Fido")
Fixture functions are always passed a Fixtures argument. Because fixtures
can depend on other fixtures. For example:
@fixture(dog)
def person(fixtures):
p = Person(name="Jane")
p.pet = fixtures.dog
return p
Fixture functions can have keyword parameters, but those parameters must have defaults.
@fixture
def dog(fixtures, name="Fido"):
return Dog(name=name)
Then one's TestCase can use the where decorator to passed the parameter:
from unittest_fixtures import given, where
@given(dog)
@where(dog__name="Buddy")
class MyTest(TestCase):
def test_method(self, fixtures):
dog = fixtures.dog
self.assertEqual("Buddy", dog.name)
Duplicating fixtures
The unittest-fixtures library allows one to use a fixture more than once. This can be done by passing the fixture as a keyword argument giving different names to the same fixture. Different parameters can be passed to them:
@given(fido=dog, buddy=dog)
@where(fido__name="Fido", buddy__name="Buddy")
class MyTest(TestCase):
def test_method(self, fixtures):
self.assertEqual("Buddy", fixtures.buddy.name)
self.assertEqual("Fido", fixtures.fido.name)
Fixture-depending fixtures will all use the same fixture, but only if they
have the same name. So in the above example, if we also gave the TestCase the
person fixture, that person would have a different dog because it depends on
a fixture called "dog". However this will work:
@given(dog, person)
class MyTest(TestCase):
def test_method(self, fixtures):
dog = fixtures.dog
person = fixtures.person
self.assertIs(person.pet, dog)
@where (fixture parameters)
The where decorator can be used to pass parameters to a fixture function.
Fixture functions are not required to take arguments. To pass a parameter to a
function, for example pass name to the dog fixture it's the name of the
function, followed by __ followed by the parameter name. For example:
dog__name. Fixture functions can also have a parameter that is the same
name as the fixture itself. For example:
@given(settings)
@where(settings={"DEBUG": True, "SECRET": "sauce"})
class MyTest(TestCase):
...
There are times when one may desire to pass a fixture parameter that uses the
value of another fixture, however that value does not get calculated until
each test is run. The Param type allows one to accomplish this:
from unittest_fixtures import Param, given, where
@given(person)
@where(person__name=Param(lambda fixtures: fixtures.name))
@given(name=random_choice)
@where(name__choices=["Liam", "Noah", "Jack", "Oliver"])
class MyTest(TestCase):
...
[!NOTE] In the above example, fixture ordering is important. Given that
personimplicitly depends onname, thenamefixture needs to be set up first. We do this by declaring it before (lower vertically in the list of decorators) than thepersonfixture.
Fixtures as context managers
Sometimes a fixture will need a setup and teardown process. If
unittest-fixtures is supposed to remove the need to open setUp(), then it
must also remove the need to open tearDown(). And it does this by by
defining itself as a generator function. For example:
import tempfile
@fixture()
def tmpdir(fixtures):
with tempfile.TemporaryDirectory() as tempdir:
yield tempdir
Using the unittest.mock library is another good example of using context
manager fixtures.
fixture-depending fixtures
As stated above, fixtures can depend on other fitures. This is done by
"declaring" the dependencies in the fixture decorator. Fixtures are then
passed as an argument to the fixture function:
@fixture(settings, tmpdir)
def jenkins(fixtures, root=None):
root = root or fixtures.tmpdir
settings = replace(fixtures.settings, STORAGE_PATH=root)
return Jenkins.from_settings(settings)
The above example shows that one can get pretty fancy... or creative with one's fixture definitions.
Fixtures can also have named dependencies. So in the above example, if one
wanted a different tmpdir than the "global" one:
@fixture(settings, jenkins_root=tmpdir)
def jenkins(fixtures, root=None):
root = root or fixtures.jenkins_root
settings = replace(fixtures.settings, STORAGE_PATH=root)
return Jenkins.from_settings(settings)
If a TestCase used both jenkins and tmpdir:
@given(tmpdir, jenkins)
class MyTest(TestCase):
def test_something(self, fixtures):
self.assertNotEqual(fixtures.jenkins.root, fixtures.tmpdir)
Again if the two fixtures have different names then they are two separate fixtures. In general one should not use named fixtures unless one wants multiple fixtures of the same type.
@params (parametrized tests)
Not to be confused with @parametrized (below) which works similarly. The params
decorator turns a TestCase's methods into parametrized tests, however, unlike
@parametrized, the parameters are passed into the fixtures argument instead of
additional arguments to the test method. For example:
from unittest_fixtures import params
@params(number=[1, 2, 3], square=[1, 4, 9])
class MyTest(TestCase):
def test(self):
self.assertEqual(fixtures.number**2, fixtures.square)
In the above example, the test method is called three times. With each iteration the
fixtures parameter has the values:
Fixtures(number=1, square=1)Fixtures(number=2, square=4)Fixtures(number=3, square=9)
@parametrized
The @parametrized decorator that acts as a wrapper for unittest's
subtests.
Unlike @params above, this decorator is to be applied to TestCase methods rather
than tests themselves. In this case extra parameters are passed to the test method.
This can be used if you only want to parameterize a specific test method in a TestCase
rather than all test methods.
For example:
from unittest_fixtures import parametrized
class ParametrizeTests(TestCase):
@parametrized([[1, 1], [2, 4], [3, 9]])
def test(self, number, square):
self.assertEqual(number**2, square)
The fixtures kwarg may be overridden
The fixtures keyword argument is automatically passed to TestCase methods
when the test is run. The name of the keyword argument can be overridden as
follows:
@given(dog)
class MyTest(TestCase):
unittest_fixtures_kwarg = "fx"
def test_method(self, fx):
dog = fx.dog
Recipes
The following are real-world examples of using unittest-fixtures.
Random Number Generator
From larry:
import random as stdlib_random
from unittest import mock
from unittest-fixtures import fixture
@fixture()
def random(fixtures, target="larry.color.random", seed=1):
_random = stdlib_random.Random(seed)
with mock.patch(target, new=_random):
yield _random
Temporary Directory
Also from larry:
import tempfile
from unittest-fixtures import fixture
@fixture()
def tmpdir(fixtures):
with tempfile.TemporaryDirectory() as tempdir:
yield tempdir
Mock Environment Variables
From gbp-webhook-playsound:
import os
@fixture()
def environ(fixtures, environ=None, clear=True):
with mock.patch.dict(os.environ, clear=clear):
os.environ.update(environ or {})
yield os.environ
Local Timezone
From gbpcli:
import datetime as dt
from unittest import mock
LOCAL_TIMEZONE = dt.timezone(dt.timedelta(days=-1, seconds=61200), "PDT")
@fixture()
def local_timezone(fixtures, local_timezone=LOCAL_TIMEZONE):
with mock.patch("gbpcli.render.LOCAL_TIMEZONE", new=local_timezone):
yield local_timezone
Django HttpRequest
From gbp-feeds:
from django.http import HttpRequest
@fixture()
def request(fixtures, path="/feed.atom", server_name="testserver", server_port=80):
request = HttpRequest()
request.path = path
request.META["SERVER_NAME"] = server_name
request.META["SERVER_PORT"] = server_port
return request
sys.argv
From gbp-webhook:
import mock
import sys
@fixture()
def argv(fixtures, argv=None):
argv = ["gbp", "webhook", "serve"] if argv is None else list(argv)
with mock.patch.object(sys, "argv", new=argv):
yield argv
mock.patch
Instead of applying mock.patch and/or mock.patch.object decorators to a TestCase,
one can instead use a fixture. This way mocked objects appear as part of the fixtures
test parameter instead of having separate arguments for mocks. The following recipe
demonstrates how this can be done.
From gbp-testkit (a component of gentoo-build-publisher):
NO_OBJECT = object() # sentinel value
@fixture()
def patch(_, target="", object=NO_OBJECT, **kwargs):
if not target:
patcher = None
fake = mock.Mock(**kwargs)
elif object is _NO_OBJECT:
patcher = mock.patch(target, **kwargs)
fake = patcher.start()
else:
patcher = mock.patch.object(object, target, **kwargs)
fake = patcher.start()
yield fake
if patcher:
patcher.stop()
So with this the above sys.argv fixture can be replaced with:
@given(argv=patch)
@where(argv__object=sys, argv__target="argv", argv__new=["gbp", "webhook", "serve"])
class MyTest(TestCase)
def test_method(self, fixtures):
status_code = main()
self.assertEqual(status_code, 0)
Alternatively, insteady of passing the sys object one could also:
@where(argv__target="sys.argv", argv__new=["gbp", "webhook", "serve"])
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