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'
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Release files for django-modeldict 1.4.1
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