zulip/docs/testing/testing.md

# Testing and writing tests

## Overview

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

- [Django](../testing/testing-with-django.md): backend Python tests
- [Casper](../testing/testing-with-casper.md): end-to-end UI tests
- [Node](../testing/testing-with-node.md): unit tests for JS front end code
- [Linters](../testing/linters.md): Our parallel linter suite
- [CI details](continuous-integration.md): How all of these run in CI
- [Other test suites](#other-test-suites): Our various smaller test suites.

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, etc.

We also document [how to manually test the app](manual-testing.md).

## 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:
```
./tools/test-all
```

This runs the linter (`tools/lint`) 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 # Runs all the linters in parallel
./tools/test-backend zerver.tests.test_bugdown.BugdownTest.test_inline_youtube
./tools/test-backend BugdownTest # Run `test-backend --help` for more options
./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:

```
./tools/do-destroy-rebuild-test-database
```

## Other test suites

Zulip also has about a dozen smaller tests suites:

- `tools/test-migrations`: Checks whether the `zerver/migrations`
  migration content the models defined in `zerver/models.py`.  See our
  [schema migration documentation](../subsystems/schema-migrations.md)
  for details on how to do database migrations correctly.
- `tools/test-documentation`: Checks for broken links in this
  ReadTheDocs documentation site.
- `tools/test-help-documentation`: Checks for broken links in the
  `/help` user documentation site, and related pages.
- `tools/test-api`: Tests that the API documentation at `/api`
  actually works; the actual code for this is defined in
  `zerver/openapi/python_examples.py`.
- `test-locked-requirements`: Verifies that developers didn't forget
  to run `tools/update-locked-requirements` after modifying
  `requirements/*.in`.  See
  [our dependency documentation](../subsystems/dependencies.md) for
  details on the system this is verifying.
- `tools/check-capitalization`: Checks whether translated strings (aka
  user-facing strings) correctly follow Zulip's capitalization
  conventions.  This requires some maintainance of an exclude list
  (`tools.lib.capitalization.IGNORED_PHRASES`) of proper nouns
  mentioned in the Zulip project, but helps a lot in avoiding new
  strings being added that don't match our style.
- `tools/check-frontend-i18n`: Checks for a common bug in Handlebars
  templates, of using the wrong syntax for translating blocks
  containing variables.
- `./tools/test-run-dev`: Checks that `run-dev.py` starts properly;
  this helps prevent bugs that break the development environment.
- `./tools/test-queue-worker-reload`: Verifies that Zulip's queue
  processors properly reload themselves after code changes.
- `./tools/setup/optimize-svg`: Checks whether all integration logo SVG
  graphics are optimized.
  logos are properly optimized for size (since we're not going to edit
  third-party logos, this helps keep the Zulip codebase from getting huge).
- `./tools/test-tools`: Automated tests for various parts of our
  development tooling (mostly various linters) that are not used in
  production.

Each of these has a reason (usually, performance or a need to do messy
things to the environment) why they are not part of the handful of
major test suites like `test-backend`, but they all contribute
something valuable to helping keep Zulip bug-free.

### Possible testing issues

- When running the test suite, if you get an error involving Git that looks like this:

  ```
      gitlint| An error occurred while executing '/usr/bin/git rev-list --max-count=-1 upstream/master..HEAD': b"fatal: ambiguous argument 'upstream/master..HEAD': unknown revision or path not in the working tree.\nUse '--' to separate paths from revisions, like this:\n'git <command> [<revision>...] -- [<file>...]'"
  ```

  ... then you may need to connect the Zulip upstream repository with the following command:

  ```
    git remote add -f upstream https://github.com/zulip/zulip.git
  ```

- When running casper tests (`./tools/test-js-with-casper`), if you
get an error like this:

```
Running node_modules/.bin/casperjs  test /srv/zulip/frontend_tests/casper_tests/00-realm-creation.js
internal/child_process.js:289
  var err = this._handle.spawn(options);
                        ^

TypeError: Bad argument
```
... it means that phantomjs is not installed. You can install it by running
the following commands.

```bash
cd node_modules/phantomjs-prebuilt
node install.js
```

### Internet access inside test suites

As a policy matter, the Zulip test suites should never make outgoing
HTTP or other network requests.  This is important for 2 major
reasons:

* Tests that make outgoing Internet requests will fail when the user
  isn't on the Internet.
* Tests that make outgoing Internet requests often have a hidden
  dependency on the uptime of a third-party service, and will fail
  nondeterministically if that service has a temporary outage.
  Nondeterministically failing tests can be a big waste of
  developer time, and we try to avoid them wherever possible.

As a result, Zulip's major test suites should never access the
Internet directly.  Since code in Zulip does need to access the
Internet (e.g. to access various third-party APIs), this means that
the Zulip tests use mocking to basically hardcode (for the purposes of
the test) what responses should be used for any outgoing Internet
requests that Zulip would make in the code path being tested.

This is easy to do using test fixtures (a fancy word for fixed data
used in tests) and the `mock.patch` function to specify what HTTP
response should be used by the tests for every outgoing HTTP (or other
network) request.  Consult
[our guide on mocking](../testing/testing-with-django.html#zulip-mocking-practices) to
learn how to mock network requests easily; there are also a number of
examples throughout the codebase.

We partially enforce this policy in the main Django/backend test suite
by overriding certain library functions that are used in outgoing HTTP
code paths (`httplib2.Http().request`, `requests.request`, etc.) to
throw an exception in the backend tests.  While this is enforcement is
not complete (there a lot of other ways to use the Internet from
Python), it is easy to do and catches most common cases of new code
dependning on Internet access.

This enforcement code results in the following exception:

  ```
  File "tools/test-backend", line 120, in internet_guard
    raise Exception("Outgoing network requests are not allowed in the Zulip tests."
  Exception: Outgoing network requests are not allowed in the Zulip tests.
  ...
  ```

#### Documentation tests

The one exception to this policy is our documentation tests, which
will attempt to verify that the links included in our documentation
aren't broken.  Those tests end up failing nondeterministically fairly
often, which is unfortunate, but there's simply no other correct way
to verify links other than attempting to access them.

## 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

```eval_rst
.. warning::
    This is irreversible! 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

## Local browser testing (local app + web browser)

This section is about troubleshooting your local development environment.

There is a [separate manual testing doc](manual-testing.md) that
enumerates things you can test as part of manual QA.

### Clearing the development database

You can use:

    ./tools/do-destroy-rebuild-database

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.