Client library for OpenStack containing Infra business logic
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Change-Id: I9a6bf7edf868d6ad7d587324ec985a6e4e669f23
2016-12-04 14:55:10 +02:00
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extras Make sure Ansible tests only use cirros images 2016-05-13 09:51:45 -04:00
releasenotes/notes Add compute usage support 2016-12-04 14:55:10 +02:00
shade Add compute usage support 2016-12-04 14:55:10 +02:00
.coveragerc Start using keystoneauth for keystone sessions 2015-09-21 11:12:21 -05:00
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.testr.conf Add initial compute functional tests to Shade 2015-03-13 13:40:46 +00:00
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CONTRIBUTING.rst Add minor OperatorCloud documentation 2015-04-30 15:12:59 -04:00
HACKING.rst Update HACKING.rst with a couple of shade specific notes 2016-08-21 11:17:56 -05:00
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MANIFEST.in Initial cookiecutter repo 2014-08-30 17:05:28 -07:00
README.rst Change operating to interacting with in README 2016-07-14 08:14:22 +00:00
requirements.txt Create and use a Adapter wrapper for REST in TaskManager 2016-11-15 08:31:05 -06:00
setup.cfg Change operating to interacting with in README 2016-07-14 08:14:22 +00:00
setup.py Initial cookiecutter repo 2014-08-30 17:05:28 -07:00
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Introduction

shade is a simple client library for interacting with OpenStack clouds. The key word here is simple. Clouds can do many many 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, you should probably use the lower level client libraries - or even the REST API directly. 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 shade is for you.

shade started its life as some code inside of ansible. ansible has 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.

Example

Sometimes an example is nice. :

import shade

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

# Initialize cloud
# Cloud configs are read with os-client-config
cloud = shade.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)