Drone CI

Configure Flaky Tests using Drone CI

Trunk Flaky Tests integrates with your CI by adding a step in your Drone CI Pipelines 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.

By the end of this guide, you should achieve the following.

After completing these checklist items, you'll be integrated with Trunk.

Add the Trunk Token as a Secret

Store your Trunk slug and API token in your Drone CI project settings as new variables named TRUNK_ORG_SLUG and TRUNK_TOKEN respectively.

Upload to Trunk

Add an upload 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 stable branches, for example, main, master, or develop.

Add Uploader to Testing Pipelines

The following is an example of a workflow 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 Test Frameworks docs.

kind: pipeline
type: docker
name: test

steps:
  - name: Run Tests
    commands: ...

  - name: Upload Test Results to Trunk.io
    environment:
      TRUNK_ORG_SLUG:
        from_secret: TRUNK_ORG_SLUG
      TRUNK_API_TOKEN:
        from_secret: TRUNK_API_TOKEN
    commands:
      - curl -fsSLO --retry 3 https://trunk.io/releases/trunk && chmod +x ./trunk
      - ./trunk flakytests upload --junit-paths <XML_GLOB_PATH> --org-url-slug <TRUNK_ORG_SLUG> --token $TRUNK_TOKEN

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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