Django Abstract Models vs simple Python mixins vs Python ABCs

Question

This is a question prompted by another question from me.

Django provides Abstract base classes functionality (which are not to same as ABC classes in Python?) so that one can make a Model (Django's models.Model) from which one can inherit, but without that Model having an actual table in the database. One triggers this behavior by setting the 'abstract' attribute in the Model's Meta class.

Now the question: why does Django solve it this way? Why the need for this special kind of 'Abstract base class' Model? Why not make a Model mixin by just inheriting from the object class and mixing that in with an existing Model? Or could this also by a task for Python ABCs? (mind you I'm not very familiar with ABC classes in Python, my ignorance might show here)

Answer 1

I'll try to be reasonably brief, since this can easily turn into a lengthy diatribe:

ABCs are out because they were only introduced in Python 2.6, and the Django developers have a set roadmap for Python version support (2.3 support was only dropped in 1.2).

As for object-inheriting mixins, they would be less Pythonic in more ways than just reducing readability. Django uses a ModelBase metaclass for Model objects, which actually analyses the defined model properties on initialisation, and populates Model._meta with the fields, Meta options, and other properties. It makes sense to reuse that framework for both types of models. This also allows Django to prevent abstract model fields from being overriden by inheriting models.

There's plenty more reasons I can think of, all of them minor in themself, but they add up to make the current implementation much more Pythonic. There's nothing inherently wrong with using object-inheriting mixins though.