Python library to simplify kubernetes scripting. Minimal test coverage.

Full Documentation Here

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.

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