You can automatically detect and manage flaky tests in your Pytest projects by integrating with Trunk. This document explains how to configure Pytest to output JUnit XML reports that can be uploaded to Trunk for analysis.Documentation Index
Fetch the complete documentation index at: https://trunk-4cab4936-sam-gutentag-batching-pfd.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Setup steps
Work through the steps below in order. Once you’ve finished the last one, you’ll be ready to move on to configure uploads in CI.Generating Reports
Trunk detects flaky tests by analyzing test results automatically uploaded from your CI jobs. You can do this by generating JUnit XML reports from your test runs. In your CI job, update yourpytest command to include the --junit-xml and junit_family=xunit1 arguments to generate XML reports:
junit_family=xunit1 is necessary so that the generated XML report includes file paths for each test case. File paths for test cases are used for features that use code owners like the Jira integration and webhooks.
Report File Path
The--junit-xml argument specifies the path of the JUnit report. You’ll need this path later when configuring automatic uploads to Trunk.
Disable Retries
You need to disable automatic retries if you previously enabled them. Retries compromise the accurate detection of flaky tests. You should disable retries for accurate detection and use the Quarantining feature to stop flaky tests from failing your CI jobs. Omit the--lf or --ff options if you’ve previously configured your CI with these options to disable retries.
Try It Locally
You can validate your test reports using the Trunk Analytics CLI. If you don’t have it installed already, you can install and run thevalidate command like this:
Test Upload
Before modifying your CI jobs to automatically upload test results to Trunk, try uploading a single test run manually. You make an upload to Trunk using the following command:
Next Steps
Configure your CI to upload test runs to Trunk. Find the guides for your CI framework below:
Azure DevOps Pipelines

BitBucket Pipelines

BuildKite

CircleCI

Drone CI

GitHub Actions

GitLab

Jenkins

Semaphore

TeamCity

Travis CI

