GitHub Actions
Configure Flaky Tests detection using a GitHub Action
Before you start these steps, see the Test Frameworks docs for instructions on producing Trunk-compatible reports for your test runner.
Trunk Flaky Tests integrates with your CI by adding a step in your GitHub Action workflow to upload tests with the Trunk Uploader CLI.
Before you start on these steps, see the Test Frameworks docs for instructions on producing a Trunk-compatible output for your test framework.
Checklist
By the end of this guide, you should achieve the following.
After completing these checklist items, you'll be integrated with Trunk.
Trunk Organization Slug and Token
Before setting up uploads to Trunk, you must sign in to app.trunk.io and obtain your Trunk organization slug and token.
Trunk Slug
You can find your organization slug under Settings > Organization > General > Organization > Name. You'll save this as a variable in CI in a later step.
Trunk Token
You can find your token under Settings > Organization > General > API > API Key. Since this is a secret, do not leak it publicly. Ensure you get your organization token, not your project/repo token.
Add Your Trunk Token and Organization Slug as Secrets
Store the Trunk slug and API token obtained in the previous step in your repo as GitHub secrets named TRUNK_ORG_URL_SLUG and TRUNK_API_TOKEN respectively.
Upload to Trunk
Add an Upload Test Results step after running tests in each of your CI jobs that run tests. This should minimally include all jobs that run on pull requests, as well as jobs that run on your main or stable branches, for example, main, master, or develop.
It is important to upload test results from CI runs on stable branches, such as main, master, or develop. This will give you a stronger signal about the health of your code and tests.
Trunk can also detect test flakes on PR and merge branches. To best detect flaky tests, it is recommended to upload test results from stable, PR, and merge branch CI runs.
Example GitHub Actions Workflow
The following is an example of a GitHub Actions workflow step to upload test results after your tests using Trunk's Analytics Uploader Action.
To find out how to produce the report files the uploader needs, see the instructions for your test framework in the Test Frameworks docs.
See the GitHub Actions Reference page for all available CLI arguments and usage.
Enable quarantining
You can quarantine flaky tests by wrapping the test command or as a follow-up step.
Using the Trunk Analytics Uploader Action in your GitHub Actions Workflow files, may need modifications to your workflow files to support quarantining.
If you upload your test results as a second step after you run your tests, you need to add continue-on-error: true on your test step so your CI job will continue even on failures.
Here's an example file.
If you want to run the test command and upload in a single step, the test command must be run via the Analytics Uploader through the run: <COMMAND TO RUN TESTS> parameter.
This will override the response code of the test command. Make sure to set continue-on-error: false so un-quarantined tests are blocking.
Using Flaky Tests as a separate step
If you upload your test results as a second step after you run your tests, you need to ensure your test step continues on errors so the upload step that's run after can quarantine failed tests.
When quarantining is enabled, the flakytests upload command will return an error if there are unquarantined failures and return a status code 0 if all tests are quarantined.
Using Flaky Tests as a single step
You can also wrap the test command with the Trunk CLI. When wrapping the command with the Trunk CLI, if there are unquarantined tests, the command will return an error. If there are no unquarantined tests, the command will return a status code 0.
Stale files
Ensure you report every test run in CI and clean up stale files produced by your test framework. If you're reusing test runners and using a glob like **/junit.xml to upload tests, stale files not cleaned up will be included in the current test run, throwing off detection of flakiness. You should clean up all your results files after every upload step.
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