End to end (e2e) tests can be really difficult to debug - sometimes they fail seemingly at random, and sometimes they only fail on certain environments (eg: ci but not locally). This can make reproducing and reliably fixing the issue challenging, so here are some tips to help!
Read the failure carefully - it often has really good info but sometimes it’s just hard to find. Most importantly it tells you exactly the line in the test that failed and you can look that up in the source to see what protractor was trying to do. The error message itself is also really useful. Also sometimes one error causes the next, so always start with the first test failure before looking at the others.
The API and Sentinel logs are sometimes useful, particularly if API has crashed. These are available locally under
/tests/logs/ and for CI builds on AWS.
We automatically take screenshots when a test fails and store it locally in
/tests/results/ and for CI builds on AWS. These can be particularly useful if a dialog was blocking a click.
Running e2e tests can be quite slow so to save time modify the
specs property of
/tests/base.conf.js so it only finds your test. You can also change
xit to skip specific tests.
Alternatively you can run API in test mode using:
API_PORT=4988 COUCH_URL=http://admin:pass@localhost:5984/medic-test node server.js
Then grep for just the tests you want to run:
protractor /home/kenn/webapp/tests/e2e.tests.conf.js --specs='/home/kenn/webapp/tests/e2e/api/controllers/_changes.spec.js' --grep="should allow DB admins to POST to _changes"
Use the “Protractor test runner” extension for VSCode.
Running the tests locally with
grunt e2e-debug will allow you to watch it run but if you interact with the page the test will fail in unexpected ways. Furthermore the browser will close after a short timeout so you won’t be able to inspect the console or DOM. To do this, force quit the process running the test before it tears down and you will be able to navigate around the app, use Chrome dev tools, and inspect the docs in the database to (hopefully) work out what’s going wrong.
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