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Description:

pytesthelmcharts 1.2.0

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:

Kubernetes objects
Giant Swarm App Platform objects
Flux CD objects

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 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 CHANGELOG.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.