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NOTE : this library somehow works, but it is not maintained, unfinished, very inefficient, not packaged properly and not Django-ish ...



Some snippets


Say I have a bookcase, with nice books on it... And I want to create a "bookcase" application with my favorite framework.

That's my model

from django.db import models

class Book (models.Model):
    title = models.CharField(max_length=100)
    genre = models.CharField(max_length=100)

I would like to calculate some statistics on my books, for example counting them :

philosophy food novels
A-M how many ?? how many ?? how many ??
N-Z how many ?? how many ?? how many ??

But that's such a pain, because I have to count on the whole bookcase !!!

    Book.objects.filter(genre="novels")#etc, etc ...

Even in real life that wouldn't be very practical ...

What is much more clever is to classify my books into several boxes. So instead of counting on the whole bookcase, I can count on each box !!!

from cube.models import Cube

class BookCaseCube(Cube):

    genre = Dimension('genre')
    first_letter_title = Dimension('title__iregex', sample_space=[r'^[a-n].*', r'^[m-z].*'])

    def aggregation(queryset):
        return queryset.count()

That's actually the aim of django-cube. Here, we defined :

  • 2 dimensions (genre and first_letter_title) : they actually define our "boxes"
  • the aggregation method : corresponds with the operation to apply on each "box" (count in our case), with queryset corresponding to the base queryset of the "box" !

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