GitLab
Configure Flaky Tests using GitLab CI
Introduction
Trunk Flaky Tests integrates with your CI by adding an Upload Test Results
step in each of your testing CI jobs via the Trunk Uploader CLI.
Before you start on these steps, see the Test Frameworks docs for instructions on producing JUnit XML output for your test runner, supported by virtually all test frameworks, which is what Trunk ingests.
1. Store a TRUNK_TOKEN secret in your CI system
In app.trunk.io, navigate to:
Settings
-> Manage Organization
-> Organization API Token
Store your API Token in a GitLab Variable for your TRUNK_TOKEN
by navigating to your GitLab project's Settings > CI/CD > Variables.
2. Grab your Organization Slug
To upload test results to Trunk, you'll need to pass a Trunk Org Slug to the upload command. To get your organization slug, in app.trunk.io, navigate to:
Settings
-> Manage
-> Organization
-> Organization Slug
Your Trunk Organization Slug can just be pasted directly into your CI workflow; it's not a secret. In the example workflow in the next step, replace TRUNK_ORG_SLUG
with your actual organization slug.
3. Modify GitLab pipelines to upload test results
Add an Upload Test Results
step after running tests in each of your CI jobs that run tests. This should be minimally all jobs that run on pull requests, as well as from jobs that run on your main or protected branches (main
, master
, develop
, etc) .
Example GitLab Pipeline
The following is an example of a GitLab pipeline step to upload test results after your tests run. Note: you must either run trunk
from the repo root when uploading test results or pass a --repo-root
argument.
To find out how to produce the JUnit XML files the uploader needs, see the instructions for your test framework in the Test Frameworks docs.
See the Uploader CLI Reference for all available command line arguments and usage.
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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