huang.zhiping 99e52b0598 fix tox python3 overrides
We want to default to running all tox environments under python 3, so
set the basepython value in each environment.

We do not want to specify a minor version number, because we do not
want to have to update the file every time we upgrade python.

We do not want to set the override once in testenv, because that
breaks the more specific versions used in default environments like
py35 and py36.

Change-Id: I6e873ea38b4483ea477afcb8925fb8e60d65b60f
2018-08-18 01:53:08 +00:00
2018-02-12 14:33:35 +13:00
2018-03-20 12:40:56 -04:00
2017-10-30 14:13:05 +13:00
2017-05-12 16:02:04 +12:00
2017-05-17 12:25:45 +12:00
2017-06-21 16:18:37 +12:00
2018-08-18 01:53:08 +00:00

Adjutant

A basic workflow framework built using Django and Django-Rest-Framework to help automate basic Admin tasks within an OpenStack cluster.

Primarily built as user registration service that fits into the OpenStack ecosystem alongside Keystone, its purpose to fill functionality missing from Keystone. Ultimately it is just a framework with actions that are tied to an endpoint and can require certain data fields and perform actions via the OpenStack clients as well as talk to external systems as needed.

Useful for automating generic admin tasks that users might request but otherwise can't do without the admin role. Also allows automating the signup and creation of new users, but also allows such requests to require approval first if wanted. Due to issuing of uri+tokens for final steps of some actions, allows for a password submit/reset system as well.

Documentation:

Documentation can be found at: https://adjutant.readthedocs.io/

Documentation is stored in doc/, a sphinx build of the documentation can be generated with the command 'tox -e docs'.

An API Reference is stored in api-ref. This is also a sphinx build and can be generated with 'tox -e api-ref'.

Description
A simple workflow framework to help automate admin and user tasks in and around OpenStack via a pluggable API exposing tasks made up of easily chainable actions.
Readme 2.7 MiB
Languages
Python 96.8%
C++ 1.6%
Pascal 1.6%