privacyIDEA: identity, multifactor authentication, authorization, audit
Project description
privacyIDEA
privacyIDEA is an open solution for strong two-factor authentication. privacyIDEA does to not bind you to any decision of the authentication protocol or it does not dictate you where your user information should be stored. This is achieved by its totally modular architecture. privacyIDEA is not only open as far as its modular architecture is concerned. But privacyIDEA is completely licensed under the AGPLv3.
[![Build Status][BS img]][Build Status] [![Coverage Status][CS img]][Coverage Status]
[Build Status]: https://travis-ci.org/privacyidea/privacyidea [Coverage Status]: https://coveralls.io/r/privacyidea/privacyidea
[BS img]: https://travis-ci.org/privacyidea/privacyidea.svg?branch=master [CS img]: https://coveralls.io/repos/privacyidea/privacyidea/badge.png?branch=master
Dev Version 2.0
The new 2.0 branch is based on flask and sqlalchemy as the python backend. The web UI is based on angularJS and bootstrap.
At the moment the 2.0 branch is not ready for production. For productive use please use privacyIDEA 1.5.1.
You can follow the setup instructions and play around. You are also welcome to take a look at the hopefully tidy code and contribute.
I try to keep up a good test coverage. So run tests!
Setup
You can setup the system in a virtual environment:
git checkout https://github.com/privacyidea/privacyidea.git cd privacyidea virtualenv venv source venv/bin/activate pip install -r requirements.txt
Running it
Create the database:
./pi-manage.py createdb
Create the first administrator:
./pi-manage.py addadmin <email> <username>
Run it:
./pi-manage.py runserver
Now you can connect to http://localhost:5000 with your browser and login as administrator.
Run in virtualenv
For running the server in a virtual env see documentation at https://www.privacyidea.org/doc/current/installation/index.html#python-package-index.
Run tests
nosetests -v –with-coverage –cover-package=privacyidea –cover-html
Code structure
The database models are defined in models.py and tested in tests/test_db_model.py.
Based on the database models there are the libraries lib/config.py which is responsible for basic configuration in the database table config. And the library lib/resolver.py which provides functions for the database table resolver. This is tested in tests/test_lib_resolver.py.
Based on the resolver there is the library lib/realm.py which provides functions for the database table realm. Several resolvers are combined into a realm.
Based on the realm there is the library lib/user.py which provides functions for users. There is no database table user, since users are dynamically read from the user sources like SQL, LDAP, SCIM or flat files.
Upgrading
The database model has changed, so that you need to upgrade the database.
!! Before upgrading be sure to make a backup !!
To upgrade your database from 1.5 to the new 2.0 schema run:
./manage db upgrade
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