A plugin to provide different types and configs of Kubernetes clusters that can be used for testing.
Project description
pytest-helm-charts
A plugin to test helm charts on Kubernetes clusters.
Full documentation (including API) available on https://pytest-helm-charts.readthedocs.io/.
Features
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:
- provides pykube-ng interface to access Kubernetes clusters
- provides environment variables based options to configure the target cluster to run on
- provides fixtures to work with some standard Kubernetes resources as well as some custom ones:
- provides set of fixtures to easily work with Helm charts
Requirements
Please check [tool.poetry.dependencies]
list in the pyproject.toml
file.
Installation
You can install "pytest-helm-charts" via pip
from PyPI
:
pip install pytest-helm-charts
Usage
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.
Contributing
Contributions are very welcome.
- Project is managed with
poetry
, to start developing runpoetry 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; editCHANGELOG.md
; 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
License
See LICENSE.
Changelog
See CHANGELOG.md.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Project details
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