Testing infrastructure
Tests are run with pytest.
Pytest plugins
Pytest plugins are used for various purposes, some of which are optional and can be enabled with command line parameters or environment variables. Others are required by the test environment and are always enabled.
One very important always-enabled plugin applies
patches
before tests are run. The patches remain in effect for the duration of the test
run unless utilities are provided to temporarily disable them. For example,
sync_users_to_es
is a decorator/context manager that enables syncing of users to ElasticSearch
when a user is saved. Since this syncing involves custom test setup not done by
most tests it is disabled by default, but it can be temporarily enabled using
sync_users_to_es
in tests that need it.
Testing best practices
Test set up
The setUp
method is run before each test, so doing a lot of work there can add a lot of run time to the tests.
If possible, consider moving common setup of things that are not mutated by tests into setUpClass
. Some things
that can be easily moved to setUpClass
are domain creation, user creation, or any other static models needed
for the test.
Sometimes classes share the same base class and inherit the setUpClass
function. Below is an example:
# BAD EXAMPLE
class MyBaseTestClass(TestCase):
@classmethod
def setUpClass(cls):
...
class MyTestClass(MyBaseTestClass):
def test1(self):
...
class MyTestClassTwo(MyBaseTestClass):
def test2(self):
...
In the above example the setUpClass
is run twice, once for MyTestClass
and once for MyTestClassTwo
. If setUpClass
has expensive operations, then it’s best for all the tests to be combined under one test class.
# GOOD EXAMPLE
class MyBigTestClass(TestCase):
@classmethod
def setUpClass(cls):
...
def test1(self):
...
def test2(self):
...
However this can lead to giant Test classes. If you find that all the tests in a package or module are sharing the same set up, you can use a ‘module’ or ‘package’ scoped fixture.
Test tear down
It is important to ensure that all objects you have created in databases are deleted when the test class finishes
running. The best practice is to use pytest fixtures or addCleanup
or addClassCleanup to call cleanup routines. Cleanup can also be done in the tearDown
method or the
tearDownClass
method, although pytest fixtures and add[Class]Cleanup are preferred because, unlike
tearDown[Class], they get run if setUp[Class] raises an exception.
SQL data in non-shard databases is automatically cleaned up on transaction rollback by test classes that override django.test.TestCase or function tests that use pytest-django’s db fixture, so it is not necessary to delete SQL data in most cases. One exception to this is the shard dbs, since most usages of shard databases do not support transactions.
Also beware that unneccessary cleanup “just to be safe” can add a large amount of time onto your tests and should be avoided.
Functional database tests
Function tests may access databases by using pytest-django’s db
or transactional_db
fixture. This is
similar to extending django.test.TestCase
or django.test.TransactionTestCase
respectively.
from unmagic import use
@use("db")
def test_database():
...
Using SimpleTestCase
and function tests
SimpleTestCase
and function tests that do not use the db
or transactional_db
fixture run tests without
a database and are often MUCH faster than database tests. Many times this can be achieved through the use of the
mock library. A good rule of thumb is to have 80% of your
tests be unit tests that do not touch the database, and 20% of your tests be integration tests that use the
database.
CommCare HQ also has some custom in mocking tools.
Fake Couch - Fake implementation of CouchDBKit api for testing purposes.
ESQueryFake - For faking ES queries.
Squashing Migrations
There is overhead to running many migrations at once. Django allows you to squash migrations which will help speed up the migrations when running tests.