django-modeldict
Retired: this project is no longer maintained. I (Adam Johnson) no longer have time to continue maintaining this. I was doing so to support gargoyle-yplan, a fork for my ex-employer YPlan. If you'd like to sponsor ongoing maintenance or take it over yourself, please contact me@adamj.eu.
ModelDict is a very efficient way to store things like settings in your database. The entire model is transformed into a dictionary (lazily) as well as stored in your cache. It's invalidated only when it needs to be (both in process and based on CACHE_BACKEND).
It was originally created by Disqus, but due to the inactivity we at YPlan have taken over maintenance on this fork.
Requirements
Tested with all combinations of:
- Python: 3.6
- Django: 1.11, 2.0, 2.1, 2.2
Python 3.4+ supported.
Install
Install it with pip:
pip install django-modeldict-yplanMake sure you pip uninstall django-modeldict first if you're upgrading from the original to this fork - the packages clash.
Example Usage
# You'll need a model with fields to use as key and value in the dict
class Setting(models.Model):
key = models.CharField(max_length=32)
value = models.CharField(max_length=200)
# Create the ModelDict...
settings = ModelDict(Setting, key='key', value='value', instances=False)
# And you can treat it like a normal dict:
# Missing values = KeyError
settings['foo']
>>> KeyError
# Sets supported
settings['foo'] = 'hello'
# Fetch the current value using normal dictionary access
settings['foo']
>>> 'hello'
# ...or by normal model queries
Setting.objects.get(key='foo').value
>>> 'hello'
