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).
Quick example usage. More docs to come (maybe?):
class Setting(models.Model): key = models.CharField(max_length=32) value = models.CharField(max_length=200) settings = ModelDict(Setting, key='key', value='value', instances=False) # access missing value settings['foo'] >>> KeyError # set the value settings['foo'] = 'hello' # fetch the current value using either method Setting.objects.get(key='foo').value >>> 'hello' settings['foo'] >>> 'hello'
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.