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Fetch the complete documentation index at: https://docs.trunk.io/llms.txt

Use this file to discover all available pages before exploring further.

Trunk Flaky Tests integrates with your CI by adding a step in your GitLab CI/CD pipelines to upload tests with the Trunk Analytics CLI.
Not using GitHub for source control?Flaky Test support for source control providers like GitLab and BitBucket is still experimental. If you’re using a source control provider other than GitHub, contact us to get started.
Before you start on these steps, see the Test Frameworks docs for instructions on producing a Trunk-compatible output for your test framework.

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Setup steps

Work through the steps below in order. Once you’ve finished the last one, you’re set up — head to app.trunk.io to see your results.
1

Get your Trunk organization slug and token

2

Set your slug and token as a variable in CI

3

Configure your CI to upload to Trunk

4

Validate your uploads in Trunk

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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.

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Trunk Slug

You can find your organization slug under Settings > Organization > Manage > Organization Name > Slug. You’ll save this as a variable in CI in a later step.

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Trunk Token

You can find your token under Settings > Organization > Manage > Organization API Token > View Organization API Token > View. Since this is a secret, do not leak it publicly. Ensure you get your organization token, not your project/repo token.

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Add the Trunk Token as a Secret

Store the Trunk slug and API token obtained in the previous step in your GitLab CI/CD pipelines as new GitLab Variables named TRUNK_ORG_SLUG and TRUNK_TOKEN respectively.

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Upload to Trunk

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 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.Learn more about detection

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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 report files the uploader needs, see the instructions for your test framework in the frameworks docs. To find out how to produce the report files the uploader needs, see the instructions for your test framework in the Test Frameworks docs. 
image: node:latest

stages:         # List of stages for jobs, and their order of execution
  - test
  - flaky-tests

unit_test_job:   # This job runs the tests
  stage: test    
  script: ...

upload_test_results: # This job uploads tests results run in the last stage to Trunk.io
  stage: flaky-tests
  script:
    - curl -fL --retry 3 "https://github.com/trunk-io/analytics-cli/releases/latest/download/trunk-analytics-cli-x86_64-unknown-linux.tar.gz" | tar -xz && chmod +x trunk-analytics-cli
    - ./trunk-analytics-cli upload --junit-paths "<XML_GLOB_PATH>" --org-url-slug <TRUNK_ORG_SLUG> --token $TRUNK_TOKEN
The examples above use the Linux x64 binary. If your CI runs on a different platform, see the Trunk Analytics CLI page for all available platform downloads.
See the uploader.md for all available command line arguments and usage.

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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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Validate Your Uploads

Once your pipeline has run on a stable branch, head to app.trunk.io and confirm Trunk received your results.
  • The Uploads tab lists every report Trunk has ingested, with status and any warnings (missing file paths, malformed XML, and so on).
  • The Tests tab shows individual test cases once an upload has been processed.
If a recent run isn’t showing up, check your CI logs for upload errors and confirm your TRUNK_TOKEN and TRUNK_ORG_SLUG secrets are set on the project running the pipeline.
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