automatic import of python-pytest-helm-charts

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+/pytest_helm_charts-1.1.1.tar.gz
diff --git a/python-pytest-helm-charts.spec b/python-pytest-helm-charts.spec
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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
diff --git a/sources b/sources
new file mode 100644
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+++ b/sources
@@ -0,0 +1 @@
+0264bbcddbeceded0e36b47e891de0b5  pytest_helm_charts-1.1.1.tar.gz