Dale Smith b368c65bb9 Removal of django-rest-swagger
The library is end of life and out of date for recent python.

This change completes the removal from Adjutant, as was
started in I102e94c8172f6ea660814dd8fcd44ed8239b2e67

A viable replacement library may be drf-yasg, and may be
implemented in the future.

Co-Authored-By: matthewnorthcott@catalystcloud.nz
Change-Id: Ifd43db86f801bd16aea358245c0e8a5392e66d55
2025-01-20 09:18:01 +13:00
2025-01-20 09:18:01 +13:00
2025-01-20 09:18:01 +13:00
2019-04-19 19:27:57 +00:00
2024-07-11 11:38:40 +12:00
2024-07-11 11:38:40 +12:00
2017-05-12 16:02:04 +12:00
2019-08-11 12:06:13 +02:00
2024-07-11 11:38:40 +12:00

Team and repository tags

image

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, and 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%