Testing and writing tests


Zulip has a full test suite that includes many components. The most important components are documented in depth in their own sections:

This document covers more general testing issues, such as how to run the entire test suite, how to troubleshoot database issues, how to manually test the front end, and how to plan for the future upgrade to Python3.

Running tests

Zulip tests must be run inside a Zulip development environment; if you’re using Vagrant, you will need to enter the Vagrant environment before running the tests:

vagrant ssh
cd /srv/zulip

Then, to run the full Zulip test suite, do this:


This runs the linter (tools/lint-all) plus all of our test suites; they can all be run separately (just read tools/test-all to see them). You can also run individual tests which can save you a lot of time debugging a test failure, e.g.:

./tools/lint-all # Runs all the linters in parallel
./tools/test-backend zerver.tests.test_bugdown.BugdownTest.test_inline_youtube
./tools/test-js-with-casper 09-navigation.js
./tools/test-js-with-node utils.js

The above setup instructions include the first-time setup of test databases, but you may need to rebuild the test database occasionally if you’re working on new database migrations. To do this, run:


Possible testing issues

  • When running the test suite, if you get an error like this:

        sqlalchemy.exc.ProgrammingError: (ProgrammingError) function ts_match_locs_array(unknown, text, tsquery) does not   exist
        LINE 2: ...ECT message_id, flags, subject, rendered_content, ts_match_l...

    … then you need to install tsearch-extras, described above. Afterwards, re-run the init*-db and the do-destroy-rebuild*-database scripts.

  • When building the development environment using Vagrant and the LXC provider, if you encounter permissions errors, you may need to chown -R 1000:$(whoami) /path/to/zulip on the host before running vagrant up in order to ensure that the synced directory has the correct owner during provision. This issue will arise if you run id username on the host where username is the user running Vagrant and the output is anything but 1000. This seems to be caused by Vagrant behavior; for more information, see the vagrant-lxc FAQ entry about shared folder permissions.

Schema and initial data changes

If you change the database schema or change the initial test data, you have to regenerate the pristine test database by running tools/do-destroy-rebuild-test-database.

Wiping the test databases

You should first try running: tools/do-destroy-rebuild-test-database

If that fails you should try to do:

sudo -u postgres psql
> DROP DATABASE zulip_test;
> DROP DATABASE zulip_test_template;

and then run tools/do-destroy-rebuild-test-database

Recreating the postgres cluster


This is irreversible, so do it with care, and never do this anywhere in production.

If your postgres cluster (collection of databases) gets totally trashed permissions-wise, and you can’t otherwise repair it, you can recreate it. On Ubuntu:

sudo pg_dropcluster --stop 9.1 main
sudo pg_createcluster --locale=en_US.utf8 --start 9.1 main

Manual testing (local app + web browser)

Clearing the manual testing database

You can use:


to drop the database on your development environment and repopulate your it with the Shakespeare characters and some test messages between them. This is run automatically as part of the development environment setup process, but is occasionally useful when you want to return to a clean state for testing.

JavaScript manual testing

debug.js has some tools for profiling JavaScript code, including:

  • `print_elapsed_time`: Wrap a function with it to print the time that function takes to the JavaScript console.
  • `IterationProfiler`: Profile part of looping constructs (like a for loop or $.each). You mark sections of the iteration body and the IterationProfiler will sum the costs of those sections over all iterations.

Chrome has a very good debugger and inspector in its developer tools. Firebug for Firefox is also pretty good. They both have profilers, but Chrome’s is a sampling profiler while Firebug’s is an instrumenting profiler. Using them both can be helpful because they provide different information.

Python 3 Compatibility

Zulip is working on supporting Python 3, and all new code in Zulip should be Python 2+3 compatible. We have converted most of the codebase to be compatible with Python 3 using a suite of 2to3 conversion tools and some manual work. In order to avoid regressions in that compatibility as we continue to develop new features in Zulip, we have a special tool, tools/check-py3, which checks all code for Python 3 syntactic compatibility by running a subset of the automated migration tools and checking if they trigger any changes. tools/check-py3 is run automatically in Zulip’s Travis CI tests (in the ‘static-analysis’ build) to avoid any regressions, but is not included in test-all since it is quite slow.

To run tools/check-py3, you need to install the modernize and future Python packages (which are included in requirements/py3k.txt, which itself is included in requirements/dev.txt, so you probably already have these packages installed).

To run check-py3 on just the Python files in a particular directory, you can change the current working directory (e.g. cd zerver/) and run check-py3 from there.