
This whole thing is a mess. examples is doing the right thing and using get_extra_config, but its docs are wrong. functional is reading config from a non-standard place but is the place that the examples docs incorrect say it should be read from. Update both places to read from the RIGHT location and update the docs as well. Make examples support setting a key to use and then set that key in tox so that we can just use the functional settings for both. Also, fix the clustering functional test so that it consumes the IMAGE_NAME discovered in functional.base. Change-Id: Ia9f150bbdd3825cb3e0d4282af3ca8f23dc1d888
openstacksdk
openstacksdk is a client library 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 an abstraction 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 Cloud Abstraction layer is for you.
More information about its history can be found at https://docs.openstack.org/openstacksdk/latest/contributor/history.html
openstack
List servers using objects configured with the
clouds.yaml
file:
import openstack
# Initialize and turn on debug logging
openstack.enable_logging(debug=True)
# Initialize cloud
conn = openstack.connect(cloud='mordred')
for server in conn.compute.servers():
print(server.to_dict())
Cloud Layer
openstacksdk
contains a higher-level layer based on
logical operations.
import openstack
# Initialize and turn on debug logging
openstack.enable_logging(debug=True)
for server in conn.list_servers():
print(server.to_dict())
The benefit is mostly seen in more complicated operations that take multiple steps and where the steps vary across providers:
import openstack
# Initialize and turn on debug logging
openstack.enable_logging(debug=True)
# Initialize connection
# Cloud configs are read with openstack.config
conn = openstack.connect(cloud='mordred')
# Upload an image to the cloud
image = conn.create_image(
'ubuntu-trusty', filename='ubuntu-trusty.qcow2', wait=True)
# Find a flavor with at least 512M of RAM
flavor = conn.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.
conn.create_server(
'my-server', image=image, flavor=flavor, wait=True, auto_ip=True)
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://docs.openstack.org/openstacksdk/latest/user/config/configuration.html