Django based dynamic state machine system
Most state machine libraries are “static” and require the flow in the state machine to be definied programmatically. Flowr is designed so that you can build state machine flows and store them in a database. There are two key concepts: rule graphs and state machines. The programmer defines one or more sets of rules that describe the allowed flow between states, the user can then use the GUI tools to construct state machines that follow these rules and store the machines in the database. The state machines can then be instantiated for processing the flow which triggers call-back mechanisms in the rule objects on entering and leaving a state.
Add ‘flowr’ to your settings.INSTALLED_APPS field.
$ manage.py makemigrations $ manage.py migrate
A full django project is included in the repository that is used for testing and can give you a quick idea what flowr is about. The project is available in extras/sample_site
$ cd django-flowr $ pip install -r requirements.txt $ cd extras/sample_site $ pip install -r requirements.txt $ ./resetdb.sh $ ./runserver.sh
This will create an sqlite database with some sample rules. Point your browser at http://localhost:8000/admin and login with the username admin and the password admin. Use the django admin screens to view the flows and rules in the system.
Docs available at: http://django-flowr.readthedocs.org/en/latest/
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|django_flowr-0.2.0-py3-none-any.whl (199.8 kB) Copy SHA256 hash SHA256||Wheel||py3||Sep 3, 2015|
|django-flowr-0.2.0.tar.gz (194.8 kB) Copy SHA256 hash SHA256||Source||None||Sep 3, 2015|