Dale Smith d9ddbd6d3e Fix gates for Yoga and update Django
* Zuul deprecated (and now removed) declaring shared queues at a pipeline
  level [1]. This patch fixes the syntax to make the gate work for
  adjutant.
* Update TOX_CONSTRAINTS_FILE for stable/yoga
* Update .gitreview for stable/yoga
* Updates Django version to allow upper-constraints version

[1] https://lists.openstack.org/pipermail/openstack-discuss/2022-May/028603.html

Change-Id: I2e5721b2faaecdebaf00a24a5bc19987b200ad35
2022-12-15 12:58:21 +13:00
2017-05-12 16:02:04 +12:00
2019-08-11 12:06:13 +02:00
2019-08-11 12:06:13 +02:00
2022-12-15 12:58:21 +13:00
2022-12-15 12:58:21 +13:00

Team and repository tags

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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://docs.openstack.org/adjutant/latest

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%