Utility wrapper around Kubectl
Python library to simplify kubernetes scripting. Minimal test coverage.
TODO: The current plan is to rebuild this around <https://github.com/kubernetes-incubator/client-python>.
Import Kubelib and config:
import kubelib kube = kubelib.KubeConfig(context='dev-seb', namespace='myspace')
List all namespaces:
for ns in kubelib.Namespace(kube).get_list(): print(ns.metadata.name)
List all resource controllers:
for ns in kubelib.ReplicationController(kube).get_list(): print(ns.metadata.name)
(you get the idea)
Get a specific pod:
pod = kubelib.Pod(kube).get(podname) print(pod.toJSON())
Upgrade kubernetes based on a directory of yaml files:
import kubelib kube = kubelib.KubeConfig(context='dev-seb', namespace='myspace') kube.apply_path("./kubernetes", recursive=True)
This will look at every yaml file and act based on the “Kind” field. Deployments are replaced, replication controllers are deleted and re-created. Other “Kind” resources are created if a resource with that “Kind” and “Name” is not already present.
Command Line Utilities
This package provides a few command line utilities, the most helpful (to me) is see_limits which displays the resource limits for all pods and namespaces within a context.
Initial package setup borrowed from https://github.com/kennethreitz/samplemod
A reasonable approach to getting sphinx output into github pages from https://daler.github.io/sphinxdoc-test/includeme.html
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