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|
%global _empty_manifest_terminate_build 0
Name: python-pytest-helm-charts
Version: 1.1.1
Release: 1
Summary: A plugin to provide different types and configs of Kubernetes clusters that can be used for testing.
License: Apache-2.0
URL: https://github.com/giantswarm/pytest-helm-charts
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ca/52/8cf0019ccf42574e9fef8925002d06f1f7de9e41d2fe20a1ba7af1cd14b5/pytest_helm_charts-1.1.1.tar.gz
BuildArch: noarch
Requires: python3-pytest
Requires: python3-pykube-ng
Requires: python3-mkdocs
Requires: python3-mkapi
Requires: python3-Deprecated
%description
## Features
This plugin provides a set of [pytest](https://docs.pytest.org/) 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](https://docs.giantswarm.io/basics/app-platform/).
Most important features:
- provides [pykube-ng](http://pykube.readthedocs.io/) interface to access Kubernetes clusters
- provides [environment variables based options](#usage) 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](pytest_helm_charts.k8s)
- [Giant Swarm App Platform objects](pytest_helm_charts.giantswarm_app_platform)
- [Flux CD objects](pytest_helm_charts.flux)
- provides set of fixtures to easily work with Helm charts
## Requirements
Please check `[tool.poetry.dependencies]` list in the [`pyproject.toml`](pyproject.toml) file.
## Installation
You can install "pytest-helm-charts" via `pip` from `PyPI`:
```bash
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](https://kind.sigs.k8s.io/).
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`](https://github.com/giantswarm/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](https://pytest-helm-charts.readthedocs.io/en/latest/examples/basic).
The list of available fixtures can be found by running `pytest --fixtures`, but
you can also just check [the most important fixtures](docs/fixtures.md).
Full [API docs](https://pytest-helm-charts.readthedocs.io/en/latest/api/pytest_helm_charts/)
are also available.
## Contributing
Contributions are very welcome.
- Project is managed with [`poetry`](https://python-poetry.org/),
to start developing run `poetry install`
- Tests for all supported python versions can be run with [`tox`](https://tox.readthedocs.io/):
`poetry run tox -- --log-cli-level info tests/`
- Please ensure
[the coverage](https://codecov.io/gh/giantswarm/pytest-helm-charts/)
at least stays the same before you submit a pull request.
## License
See [LICENSE](LICENSE).
## Changelog
See [CHANGELOG.md](CHANGELOG.md).
## Issues
If you encounter any problems, please [file an issue](https://github.com/giantswarm/pytest-helm-charts/issues)
along with a detailed description.
%package -n python3-pytest-helm-charts
Summary: A plugin to provide different types and configs of Kubernetes clusters that can be used for testing.
Provides: python-pytest-helm-charts
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pytest-helm-charts
## Features
This plugin provides a set of [pytest](https://docs.pytest.org/) 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](https://docs.giantswarm.io/basics/app-platform/).
Most important features:
- provides [pykube-ng](http://pykube.readthedocs.io/) interface to access Kubernetes clusters
- provides [environment variables based options](#usage) 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](pytest_helm_charts.k8s)
- [Giant Swarm App Platform objects](pytest_helm_charts.giantswarm_app_platform)
- [Flux CD objects](pytest_helm_charts.flux)
- provides set of fixtures to easily work with Helm charts
## Requirements
Please check `[tool.poetry.dependencies]` list in the [`pyproject.toml`](pyproject.toml) file.
## Installation
You can install "pytest-helm-charts" via `pip` from `PyPI`:
```bash
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](https://kind.sigs.k8s.io/).
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`](https://github.com/giantswarm/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](https://pytest-helm-charts.readthedocs.io/en/latest/examples/basic).
The list of available fixtures can be found by running `pytest --fixtures`, but
you can also just check [the most important fixtures](docs/fixtures.md).
Full [API docs](https://pytest-helm-charts.readthedocs.io/en/latest/api/pytest_helm_charts/)
are also available.
## Contributing
Contributions are very welcome.
- Project is managed with [`poetry`](https://python-poetry.org/),
to start developing run `poetry install`
- Tests for all supported python versions can be run with [`tox`](https://tox.readthedocs.io/):
`poetry run tox -- --log-cli-level info tests/`
- Please ensure
[the coverage](https://codecov.io/gh/giantswarm/pytest-helm-charts/)
at least stays the same before you submit a pull request.
## License
See [LICENSE](LICENSE).
## Changelog
See [CHANGELOG.md](CHANGELOG.md).
## Issues
If you encounter any problems, please [file an issue](https://github.com/giantswarm/pytest-helm-charts/issues)
along with a detailed description.
%package help
Summary: Development documents and examples for pytest-helm-charts
Provides: python3-pytest-helm-charts-doc
%description help
## Features
This plugin provides a set of [pytest](https://docs.pytest.org/) 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](https://docs.giantswarm.io/basics/app-platform/).
Most important features:
- provides [pykube-ng](http://pykube.readthedocs.io/) interface to access Kubernetes clusters
- provides [environment variables based options](#usage) 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](pytest_helm_charts.k8s)
- [Giant Swarm App Platform objects](pytest_helm_charts.giantswarm_app_platform)
- [Flux CD objects](pytest_helm_charts.flux)
- provides set of fixtures to easily work with Helm charts
## Requirements
Please check `[tool.poetry.dependencies]` list in the [`pyproject.toml`](pyproject.toml) file.
## Installation
You can install "pytest-helm-charts" via `pip` from `PyPI`:
```bash
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](https://kind.sigs.k8s.io/).
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`](https://github.com/giantswarm/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](https://pytest-helm-charts.readthedocs.io/en/latest/examples/basic).
The list of available fixtures can be found by running `pytest --fixtures`, but
you can also just check [the most important fixtures](docs/fixtures.md).
Full [API docs](https://pytest-helm-charts.readthedocs.io/en/latest/api/pytest_helm_charts/)
are also available.
## Contributing
Contributions are very welcome.
- Project is managed with [`poetry`](https://python-poetry.org/),
to start developing run `poetry install`
- Tests for all supported python versions can be run with [`tox`](https://tox.readthedocs.io/):
`poetry run tox -- --log-cli-level info tests/`
- Please ensure
[the coverage](https://codecov.io/gh/giantswarm/pytest-helm-charts/)
at least stays the same before you submit a pull request.
## License
See [LICENSE](LICENSE).
## Changelog
See [CHANGELOG.md](CHANGELOG.md).
## Issues
If you encounter any problems, please [file an issue](https://github.com/giantswarm/pytest-helm-charts/issues)
along with a detailed description.
%prep
%autosetup -n pytest-helm-charts-1.1.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-pytest-helm-charts -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.1-1
- Package Spec generated
|
