openstacksdk 0.10.0

An SDK for building applications to work with OpenStack

openstacksdk

openstacksdk is a client library for for building applications to work with OpenStack clouds. The project aims to provide a consistent and complete set of interactions with OpenStack’s many services, along with complete documentation, examples, and tools.

It also contains a simple interface layer. Clouds can do many things, but there are probably only about 10 of them that most people care about with any regularity. If you want to do complicated things, the per-service oriented portions of the SDK are for you. However, if what you want is to be able to write an application that talks to clouds no matter what crazy choices the deployer has made in an attempt to be more hipster than their self-entitled narcissist peers, then the openstack.cloud layer is for you.

A Brief History

openstacksdk started its life as three different libraries: shade, os-client-config and python-openstacksdk.

shade started its life as some code inside of OpenStack Infra’s nodepool project, and as some code inside of Ansible. Ansible had a bunch of different OpenStack related modules, and there was a ton of duplicated code. Eventually, between refactoring that duplication into an internal library, and adding logic and features that the OpenStack Infra team had developed to run client applications at scale, it turned out that we’d written nine-tenths of what we’d need to have a standalone library.

os-client-config was a library for collecting client configuration for using an OpenStack cloud in a consistent and comprehensive manner. In parallel, the python-openstacksdk team was working on a library to expose the OpenStack APIs to developers in a consistent and predictable manner. After a while it became clear that there was value in both a high-level layer that contains business logic, a lower-level SDK that exposes services and their resources as Python objects, and also to be able to make direct REST calls when needed with a properly configured Session or Adapter from python-requests. This led to the merger of the three projects.

The contents of the shade library have been moved into openstack.cloud and os-client-config has been moved in to openstack.config. The next release of shade will be a thin compatibility layer that subclasses the objects from openstack.cloud and provides different argument defaults where needed for compat. Similarly the next release of os-client-config will be a compat layer shim around openstack.config.

openstack.config

openstack.config will find cloud configuration for as few as 1 clouds and as many as you want to put in a config file. It will read environment variables and config files, and it also contains some vendor specific default values so that you don’t have to know extra info to use OpenStack

• If you have a config file, you will get the clouds listed in it

• If you have environment variables, you will get a cloud named envvars

• If you have neither, you will get a cloud named defaults with base defaults

Sometimes an example is nice.

Create a clouds.yaml file:

clouds:
 mordred:
   region_name: Dallas
   auth:
     username: 'mordred'
     password: XXXXXXX
     project_name: 'shade'
     auth_url: 'https://identity.example.com'

Please note: openstack.config will look for a file called clouds.yaml in the following locations:

• Current Directory

• ~/.config/openstack

• /etc/openstack

More information at https://developer.openstack.org/sdks/python/openstacksdk/users/config

openstack.cloud

Create a server using objects configured with the clouds.yaml file:

import openstack.cloud

# Initialize and turn on debug logging
openstack.cloud.simple_logging(debug=True)

# Initialize cloud
# Cloud configs are read with openstack.config
cloud = openstack.openstack_cloud(cloud='mordred')

# Upload an image to the cloud
image = cloud.create_image(
    'ubuntu-trusty', filename='ubuntu-trusty.qcow2', wait=True)

# Find a flavor with at least 512M of RAM
flavor = cloud.get_flavor_by_ram(512)

# Boot a server, wait for it to boot, and then do whatever is needed
# to get a public ip for it.
cloud.create_server(
    'my-server', image=image, flavor=flavor, wait=True, auto_ip=True)

Links

• Issue Tracker

• Code Review

• Documentation

• PyPI

• Mailing list