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A plugin to provide different types and configs of Kubernetes clusters that can be used for testing.

Project description


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A plugin to test helm charts on Kubernetes clusters.

Full documentation (including API) available on


This plugin provides a set of pytest fixtures that allow you to easily write tests for Helm charts and run them on Kubernetes clusters.

It can be also used to test Helm charts deployed using the Open Source Giant Swarm App Platform.

Most important features:


Please check [tool.poetry.dependencies] list in the pyproject.toml file.


You can install "pytest-helm-charts" via pip from PyPI:

pip install pytest-helm-charts


Running your tests

When you want to run your tests, you invoke pytest as usual, just configuring cluster and chart information using environment variables or command line options. The following options are available as environment variables (start pytest with -h to check corresponding command line options):

  • "KUBECONFIG" - (mandatory) a path to kube config file used to connect to a k8s cluster
  • "ATS_CHART_PATH" - path to a chart being tested (if a chart is tested)
  • "ATS_CHART_VERSION" - version of the chart being tested (if a chart is tested)
  • "ATS_CLUSTER_TYPE" - type of the cluster used for testing
  • "ATS_CLUSTER_VERSION" - k8s version of the cluster used for testing
  • "ATS_APP_CONFIG_FILE_PATH" - optional path to a values.yaml file used to configure a chart under test (if a chart is tested)
  • "ATS_EXTRA_*" - any such arbitrary variable value will be extracted and included in the test_extra_info fixture

Currently, the only supported cluster type is external, which means the cluster is not managed by the test suite. You just point the test suite to a kube.config file, which can be used to connect to the Kubernetes API with KUBECONFIG env variable option. For creating development time clusters, we recommend using KinD.

If you use this project to test Helm charts against Giant Swarm App Platform, the existing cluster must already have the platform components installed. Please refer to and use the app-test-suite tool to easily create KinD based clusters with all the components already installed.

Writing tests

The easiest way to get started is by checking our examples.

The list of available fixtures can be found by running pytest --fixtures, but you can also just check the most important fixtures.

Full API docs are also available.


Contributions are very welcome.

  • Project is managed with poetry, to start developing run poetry install
  • Tests for all supported python versions can be run with tox: poetry run tox -- --log-cli-level info tests/
  • Please ensure the coverage at least stays the same before you submit a pull request.

Creating a new release

  • merge your changes to master branch
  • edit pyproject.toml and update the project version; edit; commit
  • create a new tag with the same version in git, i.e. git tag v1.1.1
  • push your changes to GitHub to trigger a release git push; git push origin v1.1.1






If you encounter any problems, please file an issue along with a detailed description.

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