kubeshift

A universal python library for container orchestrators


Keywords
kubernetes, kubeshift, openshift, docker
License
LGPL-3.0
Install
pip install kubeshift==0.0.4

Documentation

Kubeshift

Build Status Coverage Status

Introduction

Kubeshift is a multi-provider Python library for Kubernetes (Kube) and Openshift (shift). We connect and communicate with each container orchestator 100% through their TLS (if available) HTTP API.

Features:

  • 100% HTTP API
  • Auto-parsing of ~/.kube/config
  • .kube/config generation
  • TLS authentication
  • 100% test coverage with functional and integration tests

Library installation

Pip

sudo pip install kubeshift

Manual / development

git clone https://github.com/cdrage/kubeshift && cd kubeshift
make install

Python requirements

â–¶ cat requirements.txt 
anymarkup
requests

Methods and examples

Configuration import

The configuration file used with the provider must be an object. Currently we support the import and generation of Kubernetes and OpenShift configuration files .

import kubeshift

# Import the configuration, this can be either from a file
config = kubeshift.Config.from_file("/home/user/.kube/config")
client = kubeshift.Client(config, "kubernetes")

# Or generated via a set of parameters
config_params = kubeshift.Config.from_params(api="https://localhost:8080", auth="foobar", ca="/home/user/.kube/ca.cert", verify=True)
client = kubeshift.Client(config_params, "kubernetes")

Implemented methods

The main methods for each provider are:

.create(object)
.delete(object)
.scale(object, namespace="default", replicas=0)

API calls are also available via their corresponding method. Each call returns a dictionary object container all information. These methods are created from the list of calls at http://localhost:8080/apis. Some calls require namespace to be provided. Otherwise, 'default' will be used.

API call methods:

.componentstatuses
.namespaces
.nodes
.persistentvolumes
.thirdpartyresources

Namespaced API call methods:

.configmaps(namespace="default")
.endpoints(namespace="default")
.events(namespace="default")
.limitranges(namespace="default")
.persistentvolumeclaims(namespace="default")
.pods(namespace="default")
.podtemplates(namespace="default")
.resourcequotas(namespace="default")
.secrets(namespace="default")
.serviceaccounts(namespace="default")
.services(namespace="default")
.daemonsets(namespace="default")
.deployments(namespace="default")
.horizontalpodautoscalers(namespace="default")
.ingresses(namespace="default")
.jobs(namespace="default")
.networkpolicies(namespace="default")
.replicasets(namespace="default")
.petsets(namespace="default")
.poddisruptionbudgets(namespace="default")

These API calls can further be filtered via these methods:

.filter(namespace="foo", status="Running")
.all()
.metadata()
.items()

Full example:

import kubeshift
import getpass

# Example k8s object
k8s_object = {"apiVersion": "v1", "kind": "Pod", "metadata": {"labels": {"app": "helloapache"}, "name": "helloapache"}, "spec": {
    "containers": [{"image": "nginx", "name": "helloapache", "ports": [{"containerPort": 80, "hostPort": 80, "protocol": "TCP"}]}]}}

# Client configuration
user = getpass.getuser()
config = kubeshift.Config.from_file("/home/%s/.kube/config" % user)
client = kubeshift.Client(config, "kubernetes")

# Main methods
client.create(k8s_object)  # Creates the k8s object
# client.scale(k8s_object, replicas=3) # Scales the k8s object (if it's a service)
client.delete(k8s_object)  # Deletes the k8s object

# API calls

# Namespaces
client.namespaces()

# Pods
client.pods().all()
client.pods().filter(namespace="default", status="Running")
client.pods().metadata()
client.pods().items()