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|
%global _empty_manifest_terminate_build 0
Name: python-jupyterhub-kubespawner
Version: 4.3.0
Release: 1
Summary: JupyterHub Spawner for Kubernetes
License: BSD
URL: http://github.com/jupyterhub/kubespawner
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e9/41/7062f95748c95dde5bc926c50f8d7d7f595751d4aa5cf92147974d78d122/jupyterhub-kubespawner-4.3.0.tar.gz
BuildArch: noarch
Requires: python3-escapism
Requires: python3-slugify
Requires: python3-jupyterhub
Requires: python3-jinja2
Requires: python3-kubernetes-asyncio
Requires: python3-urllib3
Requires: python3-pyYAML
Requires: python3-bump2version
Requires: python3-kubernetes
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-pytest-asyncio
%description
# [kubespawner](https://github.com/jupyterhub/kubespawner) (jupyterhub-kubespawner @ PyPI)
[](https://jupyterhub-kubespawner.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/jupyterhub/kubespawner/actions)
[](https://codecov.io/gh/jupyterhub/kubespawner)
[](https://pypi.python.org/pypi/jupyterhub-kubespawner)
The _kubespawner_ (also known as JupyterHub Kubernetes Spawner) enables JupyterHub to spawn
single-user notebook servers on a [Kubernetes](https://kubernetes.io/)
cluster.
See the [KubeSpawner documentation](https://jupyterhub-kubespawner.readthedocs.io) for more
information about features and usage. In particular, here is [a list of all the spawner options](https://jupyterhub-kubespawner.readthedocs.io/en/latest/spawner.html#module-kubespawner.spawner).
## Features
Kubernetes is an open-source system for automating deployment, scaling, and
management of containerized applications. If you want to run a JupyterHub
setup that needs to scale across multiple nodes (anything with over ~50
simultaneous users), Kubernetes is a wonderful way to do it. Features include:
- Easily and elasticly run anywhere between 2 and thousands of nodes with the
same set of powerful abstractions. Scale up and down as required by simply
adding or removing nodes.
- Run JupyterHub itself inside Kubernetes easily. This allows you to manage
many JupyterHub deployments with only Kubernetes, without requiring an extra
layer of Ansible / Puppet / Bash scripts. This also provides easy integrated
monitoring and failover for the hub process itself.
- Spawn multiple hubs in the same kubernetes cluster, with support for
[namespaces](https://kubernetes.io/docs/admin/namespaces/). You can limit the
amount of resources each namespace can use, effectively limiting the amount
of resources a single JupyterHub (and its users) can use. This allows
organizations to easily maintain multiple JupyterHubs with just one
kubernetes cluster, allowing for easy maintenance & high resource
utilization.
- Provide guarantees and limits on the amount of resources (CPU / RAM) that
single-user notebooks can use. Kubernetes has comprehensive [resource control](https://kubernetes.io/docs/user-guide/compute-resources/) that can
be used from the spawner.
- Mount various types of [persistent volumes](https://kubernetes.io/docs/user-guide/persistent-volumes/)
onto the single-user notebook's container.
- Control various security parameters (such as userid/groupid, SELinux, etc)
via flexible [Pod Security Policies](https://kubernetes.io/docs/user-guide/pod-security-policy/).
- Run easily in multiple clouds (or on your own machines). Helps avoid vendor
lock-in. You can even spread out your cluster across
[multiple clouds at the same time](https://kubernetes.io/docs/user-guide/federation/).
In general, Kubernetes provides a ton of well thought out, useful features -
and you can use all of them along with this spawner.
## Requirements
### Kubernetes
Everything should work from Kubernetes v1.6+.
The [Kube DNS addon](https://kubernetes.io/docs/user-guide/connecting-applications/#dns)
is not strictly required - the spawner uses
[environment variable](https://kubernetes.io/docs/user-guide/connecting-applications/#environment-variables)
based discovery instead. Your kubernetes cluster will need to be configured to
support the types of volumes you want to use.
If you are just getting started and want a kubernetes cluster to play with,
[Google Container Engine](https://cloud.google.com/container-engine/) is
probably the nicest option. For AWS/Azure,
[kops](https://github.com/kubernetes/kops) is probably the way to go.
## Getting help
We encourage you to ask questions on the
[Jupyter mailing list](https://groups.google.com/forum/#!forum/jupyter).
You can also participate in development discussions or get live help on
[Gitter](https://gitter.im/jupyterhub/jupyterhub).
## License
We use a shared copyright model that enables all contributors to maintain the
copyright on their contributions.
All code is licensed under the terms of the revised BSD license.
## Resources
#### JupyterHub and kubespawner
- [Reporting Issues](https://github.com/jupyterhub/kubespawner/issues)
- [Documentation for JupyterHub](https://jupyterhub.readthedocs.io)
- [Documentation for JupyterHub's REST API](https://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/jupyterhub/master/docs/rest-api.yml#/default)
#### Jupyter
- [Documentation for Project Jupyter](https://jupyter.readthedocs.io/en/latest/index.html) | [PDF](https://media.readthedocs.org/pdf/jupyter/latest/jupyter.pdf)
- [Project Jupyter website](https://jupyter.org)
%package -n python3-jupyterhub-kubespawner
Summary: JupyterHub Spawner for Kubernetes
Provides: python-jupyterhub-kubespawner
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-jupyterhub-kubespawner
# [kubespawner](https://github.com/jupyterhub/kubespawner) (jupyterhub-kubespawner @ PyPI)
[](https://jupyterhub-kubespawner.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/jupyterhub/kubespawner/actions)
[](https://codecov.io/gh/jupyterhub/kubespawner)
[](https://pypi.python.org/pypi/jupyterhub-kubespawner)
The _kubespawner_ (also known as JupyterHub Kubernetes Spawner) enables JupyterHub to spawn
single-user notebook servers on a [Kubernetes](https://kubernetes.io/)
cluster.
See the [KubeSpawner documentation](https://jupyterhub-kubespawner.readthedocs.io) for more
information about features and usage. In particular, here is [a list of all the spawner options](https://jupyterhub-kubespawner.readthedocs.io/en/latest/spawner.html#module-kubespawner.spawner).
## Features
Kubernetes is an open-source system for automating deployment, scaling, and
management of containerized applications. If you want to run a JupyterHub
setup that needs to scale across multiple nodes (anything with over ~50
simultaneous users), Kubernetes is a wonderful way to do it. Features include:
- Easily and elasticly run anywhere between 2 and thousands of nodes with the
same set of powerful abstractions. Scale up and down as required by simply
adding or removing nodes.
- Run JupyterHub itself inside Kubernetes easily. This allows you to manage
many JupyterHub deployments with only Kubernetes, without requiring an extra
layer of Ansible / Puppet / Bash scripts. This also provides easy integrated
monitoring and failover for the hub process itself.
- Spawn multiple hubs in the same kubernetes cluster, with support for
[namespaces](https://kubernetes.io/docs/admin/namespaces/). You can limit the
amount of resources each namespace can use, effectively limiting the amount
of resources a single JupyterHub (and its users) can use. This allows
organizations to easily maintain multiple JupyterHubs with just one
kubernetes cluster, allowing for easy maintenance & high resource
utilization.
- Provide guarantees and limits on the amount of resources (CPU / RAM) that
single-user notebooks can use. Kubernetes has comprehensive [resource control](https://kubernetes.io/docs/user-guide/compute-resources/) that can
be used from the spawner.
- Mount various types of [persistent volumes](https://kubernetes.io/docs/user-guide/persistent-volumes/)
onto the single-user notebook's container.
- Control various security parameters (such as userid/groupid, SELinux, etc)
via flexible [Pod Security Policies](https://kubernetes.io/docs/user-guide/pod-security-policy/).
- Run easily in multiple clouds (or on your own machines). Helps avoid vendor
lock-in. You can even spread out your cluster across
[multiple clouds at the same time](https://kubernetes.io/docs/user-guide/federation/).
In general, Kubernetes provides a ton of well thought out, useful features -
and you can use all of them along with this spawner.
## Requirements
### Kubernetes
Everything should work from Kubernetes v1.6+.
The [Kube DNS addon](https://kubernetes.io/docs/user-guide/connecting-applications/#dns)
is not strictly required - the spawner uses
[environment variable](https://kubernetes.io/docs/user-guide/connecting-applications/#environment-variables)
based discovery instead. Your kubernetes cluster will need to be configured to
support the types of volumes you want to use.
If you are just getting started and want a kubernetes cluster to play with,
[Google Container Engine](https://cloud.google.com/container-engine/) is
probably the nicest option. For AWS/Azure,
[kops](https://github.com/kubernetes/kops) is probably the way to go.
## Getting help
We encourage you to ask questions on the
[Jupyter mailing list](https://groups.google.com/forum/#!forum/jupyter).
You can also participate in development discussions or get live help on
[Gitter](https://gitter.im/jupyterhub/jupyterhub).
## License
We use a shared copyright model that enables all contributors to maintain the
copyright on their contributions.
All code is licensed under the terms of the revised BSD license.
## Resources
#### JupyterHub and kubespawner
- [Reporting Issues](https://github.com/jupyterhub/kubespawner/issues)
- [Documentation for JupyterHub](https://jupyterhub.readthedocs.io)
- [Documentation for JupyterHub's REST API](https://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/jupyterhub/master/docs/rest-api.yml#/default)
#### Jupyter
- [Documentation for Project Jupyter](https://jupyter.readthedocs.io/en/latest/index.html) | [PDF](https://media.readthedocs.org/pdf/jupyter/latest/jupyter.pdf)
- [Project Jupyter website](https://jupyter.org)
%package help
Summary: Development documents and examples for jupyterhub-kubespawner
Provides: python3-jupyterhub-kubespawner-doc
%description help
# [kubespawner](https://github.com/jupyterhub/kubespawner) (jupyterhub-kubespawner @ PyPI)
[](https://jupyterhub-kubespawner.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/jupyterhub/kubespawner/actions)
[](https://codecov.io/gh/jupyterhub/kubespawner)
[](https://pypi.python.org/pypi/jupyterhub-kubespawner)
The _kubespawner_ (also known as JupyterHub Kubernetes Spawner) enables JupyterHub to spawn
single-user notebook servers on a [Kubernetes](https://kubernetes.io/)
cluster.
See the [KubeSpawner documentation](https://jupyterhub-kubespawner.readthedocs.io) for more
information about features and usage. In particular, here is [a list of all the spawner options](https://jupyterhub-kubespawner.readthedocs.io/en/latest/spawner.html#module-kubespawner.spawner).
## Features
Kubernetes is an open-source system for automating deployment, scaling, and
management of containerized applications. If you want to run a JupyterHub
setup that needs to scale across multiple nodes (anything with over ~50
simultaneous users), Kubernetes is a wonderful way to do it. Features include:
- Easily and elasticly run anywhere between 2 and thousands of nodes with the
same set of powerful abstractions. Scale up and down as required by simply
adding or removing nodes.
- Run JupyterHub itself inside Kubernetes easily. This allows you to manage
many JupyterHub deployments with only Kubernetes, without requiring an extra
layer of Ansible / Puppet / Bash scripts. This also provides easy integrated
monitoring and failover for the hub process itself.
- Spawn multiple hubs in the same kubernetes cluster, with support for
[namespaces](https://kubernetes.io/docs/admin/namespaces/). You can limit the
amount of resources each namespace can use, effectively limiting the amount
of resources a single JupyterHub (and its users) can use. This allows
organizations to easily maintain multiple JupyterHubs with just one
kubernetes cluster, allowing for easy maintenance & high resource
utilization.
- Provide guarantees and limits on the amount of resources (CPU / RAM) that
single-user notebooks can use. Kubernetes has comprehensive [resource control](https://kubernetes.io/docs/user-guide/compute-resources/) that can
be used from the spawner.
- Mount various types of [persistent volumes](https://kubernetes.io/docs/user-guide/persistent-volumes/)
onto the single-user notebook's container.
- Control various security parameters (such as userid/groupid, SELinux, etc)
via flexible [Pod Security Policies](https://kubernetes.io/docs/user-guide/pod-security-policy/).
- Run easily in multiple clouds (or on your own machines). Helps avoid vendor
lock-in. You can even spread out your cluster across
[multiple clouds at the same time](https://kubernetes.io/docs/user-guide/federation/).
In general, Kubernetes provides a ton of well thought out, useful features -
and you can use all of them along with this spawner.
## Requirements
### Kubernetes
Everything should work from Kubernetes v1.6+.
The [Kube DNS addon](https://kubernetes.io/docs/user-guide/connecting-applications/#dns)
is not strictly required - the spawner uses
[environment variable](https://kubernetes.io/docs/user-guide/connecting-applications/#environment-variables)
based discovery instead. Your kubernetes cluster will need to be configured to
support the types of volumes you want to use.
If you are just getting started and want a kubernetes cluster to play with,
[Google Container Engine](https://cloud.google.com/container-engine/) is
probably the nicest option. For AWS/Azure,
[kops](https://github.com/kubernetes/kops) is probably the way to go.
## Getting help
We encourage you to ask questions on the
[Jupyter mailing list](https://groups.google.com/forum/#!forum/jupyter).
You can also participate in development discussions or get live help on
[Gitter](https://gitter.im/jupyterhub/jupyterhub).
## License
We use a shared copyright model that enables all contributors to maintain the
copyright on their contributions.
All code is licensed under the terms of the revised BSD license.
## Resources
#### JupyterHub and kubespawner
- [Reporting Issues](https://github.com/jupyterhub/kubespawner/issues)
- [Documentation for JupyterHub](https://jupyterhub.readthedocs.io)
- [Documentation for JupyterHub's REST API](https://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/jupyterhub/master/docs/rest-api.yml#/default)
#### Jupyter
- [Documentation for Project Jupyter](https://jupyter.readthedocs.io/en/latest/index.html) | [PDF](https://media.readthedocs.org/pdf/jupyter/latest/jupyter.pdf)
- [Project Jupyter website](https://jupyter.org)
%prep
%autosetup -n jupyterhub-kubespawner-4.3.0
%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-jupyterhub-kubespawner -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 4.3.0-1
- Package Spec generated
|
