Some of my requirements are these:
Create a in-memory sqlite3 database.
Read a list, and pull those data from
production database.
Perform unit tests
Remain the test database.
Perform some intelligent UI tests using the same test database.
I am not a pro in test, but these have to achieved, anyone professional who can suggest a best practice in this area?
Thanks very much for your help!
New in Django 1.8
The --keepdb option can be used to preserve the test database between test runs
https://docs.djangoproject.com/en/1.8/ref/django-admin/#django-admin-option---keepdb
You can run:
./manage.py testserver
Your test database will be created, all your tests are run and afterwards the server keeps running, so you can do your ui testing.
hope this helps,
Anton
Persistent Database Test Runner adds a new command called quicktest that will retain the database after the test is run, and use the same when run again.
Related
I am trying to run my tests in parallel using manage.py test --parallel. By default this will use a different DB for each thread.
Each process gets its own database
Is it possible to only use one? Also is it a bad practice and why?
Don't think it's possible to do this without overwritting of Django TestRunner.
Separate database increase isolation of your tests. This help to prevent appearence of flucky tests.
I am making some integration tests for an app, testing routes that modify the database. So far, I have added some code to my tests to delete all the changes I have made to the DB because I don't want to change it, but it adds a lot of work and doesn't sounds right. I then thought about copying the database, testing, deleting the database in my testing script. The problem with that is that it is too long to do. Is there a method for doing that ?
I see two possible ways to solve your problem:
In-memory database e.g. (h2)
Database in docker container.
Both approaches solve your problem, you can just shutdown db/container and run it again, db will be clean in that case and you don't have to care about it. Just run new one. However there are some peculiarities:
In-memory is easier to implement and use, but it may have problems with dialects, e.g. some oracle sql commands are not available for H2. And eventually you are running your tests on different DB
Docker container with db is harder to plugin into your build and tests, but it doesn't have embeded DB problems with dialects and DB in docker is the same as your real one.
You can start a database transaction at the beginning of a test and then roll it back. See the following post for details:
https://lostechies.com/jimmybogard/2012/10/18/isolating-database-data-in-integration-tests/
According to the Django docs regarding tests, the --keepdb flag will preserve the the test database for future runs.
https://docs.djangoproject.com/en/1.8/ref/django-admin/#django-admin-option---keepdb
Just to be clear, will any changes made to the database by the tests (ie: object.save() ) be reset automatically? Or will these changes need to be reversed from within the tests?
If you're using Django's default TestCase, all tests are run in a transaction, which is rolled back when the tests finishes. If your database supports transactions, you won't have to clean up anything.
If you're using Django's LiveServerTestCase or TransactionTestCase, all tables are truncated after each test, and the initial data, which is serialized before the test, is reloaded into the test database. This will not preserve any data for migrated apps, only for unmigrated apps.
The --keepdb option will not do anything special with the database. It simply prevents that the test database is destroyed, and if a database is found at the start of the tests, it is used instead of creating a new one. So, any data that is somehow left in the database when the tests finish will be seen as initial data. This is mostly relevant if some error or a user interrupt prevents tests without transactions from cleaning up the database. In that case it may be a good idea to recreate the database.
The general advice is I should always test my database migrations, but how to do it seems to be a well kept secret ;)
My chosen framework is FluentMigration.
What I think I want to do is:
Migrate database to N-1.
Save some data.
Migrate database to N.
Read data and verify it's not lost.
Verify other relevant changes
But I can't figure out how to run the migrations from my unit tests.
To kick off the migration in your integration tests just shell out to the migrate.exe command using Process.Start
For example
var migrator = System.Diagnostics.Process.Start("migrator.exe", "/connection \"Data Source=db\\db.sqlite;Version=3;\" /db sqlite /target your.migrations.dll");
migrator.WaitForExit();
If you're using MSTest you'll have to make sure that migrator.exe is included as a deployment item, or that you specify a path to where the .exe lives when you start the process.
Running Django unit tests is far too slow. Especially when I just want to run one test but the test runner wants to create the entire database and destroy the whole thing just for that one test.
In the case where I have not changed any of my models, I could save oodles of time if Django would not bother trying to create and destroy the entire database, and instead saved it for next time. Better yet, it would be great if the test runner was capable of being able to see which models have changed and only replacing those prior to running tests.
I'd prefer to not have to subclass the test runner myself, but that's what I'm going to have to do if I don't find a solution soon. is there anything like this already in existence?
In django1.8 added new parameter for manage.py test command --keepdb
./manage.py test --keepdb
Have you tried using an in-memory SQLite database for tests? It's much faster than using a disk-based database.
I'm using Djang-nose. If you set a env var REUSE_DB=1 it will not destroy the DB after running tests and re-use that same DB for the next run. Whenever your schema changes, just set REUSE_DB=0 and do one 'full' run. After that reset it to 1 and you're good to go.
https://github.com/django-nose/django-nose