You probably already know the value of testing your code. Your Django migrations are code, therefore you should test them. However, testing data migrations in particular can be tricky, and there's no documentation on how to do it.
Typically your schema migrations don't need any testing as your migrations are run during tests, unless you're skipping migrations to speed up your tests. I recommend against doing this, but that's another blog post.
However, only your data migrations forwards are tested. Even then, they are only tested if they don't have any branching, and if there is something to do. Most data migrations during tests have nothing to do because there is no data during migrations to run against. But why test data migrations in the first place?
Why test your data migrations?
I often use data migrations for a few purposes. The first is to add initial data. For example, you might want to store a list of countries in the database. You don't want to add them directly to the database, but you want them to always be there, and if some new country is formed in the future, you can add it in another data migration, say. This could also be done with a management command or in a multitude of other ways, so it's not the main reason for using a data migration.
The other reason is probably more useful. You'll often have a new requirement that needs you to restructure your database, and as a part of that, you have to make a change to some of your data. For example, you might decide to add a required username to your user model, and to populate the initial values, you want to use the first part of the user's email address. Please don't do this in real life. Generating public information from private information is not very good for a user's privacy.
Testing these with real data is important. You may have users in your database with valid emails where the username part wouldn't validate as a username. As migrations are typically only ran once in production, you'll certainly find out when you deploy and run your migrations that something is wrong. However, is the data in your staging environment as good as that in your production environment? Even if it is, it would be nice to find these problems earlier, and without the stress of dealing with potential problems that aborting a deployment can entail.
How to test your data migrations?
If you find yourself doing this a lot, there is a package called django-test-migrations. I haven't used it myself but it will probably be more robust than the simple approach below. However, if you're averse to installing yet another package, let's see what we can put together without too much work.
Let's use the example above and say we have the following data migration:
from django.db import migrations
def populate_usernames(apps, schema_editor):
User = apps.get_model("accounts", "User")
for user in User.objects.all():
user.username = user.email.rpartition("@")[0]
user.save()
def depopulate_usernames(apps, schema_editor):
User = apps.get_model("accounts", "User")
User.objects.update(username=None)
class Migration(migrations.Migration):
dependencies = [("accounts", "0002_add_username")]
operations = [migrations.RunPython(populate_usernames, depopulate_usernames)]
To test migrations like this, I decided to write a small class to run the migrations. You may notice that this is a class with a single method and __init__, so it could just be a function, but setting the apps attribute felt better than returning apps directly.
from django.db import connection
from django.db.migrations.executor import MigrationExecutor
class Migrator:
def __init__(self, connection=connection):
self.executor = MigrationExecutor(connection)
def migrate(self, app_label: str, migration: str):
target = [(app_label, migration)]
self.executor.loader.build_graph()
self.executor.migrate(target)
self.apps = self.executor.loader.project_state(target).apps
There's not too much going on here. We initialise the class with a migration executor, using a passed connection, or the default connection if none is passed. Then you can run the migrate method, with your app label and migration name. This will run the migration and set the apps attribute that you'll use in your test to make sure you have the right version of the models, similar to how it's used in the data migration itself.
Using the migrator in pytest is pretty simple. We can write a single-line fixture:
@pytest.fixture
def migrator():
return Migrator
Then we can write our tests, migrating to where we need to be:
@pytest.mark.django_db
def test_populate_emails(migrator):
migrator = migrator()
migrator.migrate("accounts", "0002_add_username")
User = migrator.apps.get_model("accounts", "User")
user = User.objects.create_user(email="test123@example.com")
assert user.username is None
migrator.migrate("accounts", "0003_populate_usernames")
assert User.objects.filter(email="test123@example.com", username="test123").exists()
Of course, we can also migrate backwards. Typically, migrating backwards is only used when developing, but in case you want that 100% coverage or really want to be sure:
@pytest.mark.django_db
def test_depopulate_emails(migrator):
migrator = migrator()
migrator.migrate("accounts", "0002_add_username")
User = migrator.apps.get_model("accounts", "User")
user = User.objects.create_user(email="test123@example.com")
migrator.migrate("accounts", "0003_populate_usernames")
migrator.migrate("accounts", "0002_add_username")
User = migrator.apps.get_model("accounts", "user")
assert User.objects.get(email="test123@example.com").username is None
unittest
If you're using Django's default unittest framework, you can use it in much the same way:
from django.test import TestCase
class MigrationTest(TestCase):
def setUp(self):
self.migrator = Migrator()
self.migrator.migrate("accounts", "0002_add_username")
def test_populate_usernames(self):
User = self.migrator.apps.get_model("accounts", "User")
user = User.objects.create_user(email="test123@example.com")
assert user.username is None
migrator.migrate("accounts", "0003_populate_usernames")
assert User.objects.filter(
email="test123@example.com", username="test123"
).exists()
def test_depopulate_emails(migrator):
User = migrator.apps.get_model("accounts", "User")
user = User.objects.create_user(email="test123@example.com")
migrator.migrate("accounts", "0003_populate_usernames")
migrator.migrate("accounts", "0002_add_username")
User = migrator.apps.get_model("accounts", "user")
assert User.objects.get(email="test123@example.com").username is None
So, get out there and test those data migrations.
Addendum: I have now used django-test-migrations and it works well. It is, however, very slow. My current practice is to write data migrations, add tests for them, and then remove the code from the data migration and the test at the same time, and pretend they never existed, to keep the CI fast. I talk more about this in Faster migration tests.