Skip to main content

Distrubited calculations for Django models

Project description

Django Gem

Django-gem is a reusable Django package that allows user to offload on-the-fly calculations for Django models by putting them into database and providing and easy to use architecture to define, how and when those database fields need to be refreshed.

Installation


Using pip

pip install django-gem

Using poetry

poetry add django-gem

Then add 'django_gem' to your INSTALLED_APPS.

INSTALLED_APPS = [
    ...
    'django_gem',
]

Usage

First you will need to create a class that knows how to re-calculate your database fields. In this package those classes are called "Cutters".

Each of the methods on the cutter need to be defined as property, and the names of those methods should mirror re-calculated fields on the Gem model in the format of cut_<field_name>.

Side effects on the properties define what related models should trigger recalculations on those fields.

from django_gems_example.gems.callbacks.author import AuthorCutterCallbacks
from django_gems_example.models import Author, Book

from django_gem.cutters.base import BaseCutter
from django_gem.decorators.cutters import side_effects


class AuthorCutter(BaseCutter):
    instance: Author

    @property
    @side_effects(
        (Author, [], AuthorCutterCallbacks.author),
        (Book, ["author"], AuthorCutterCallbacks.book_author),
    )
    def cut_book_count(self):
        return self.instance.books.count()

Django-gem allows you to create a "satellite" model for you main one, and define the CutterEngineMeta with the created cutter.

from django.db import models
from django_gems_example.gems.cutters.author import AuthorCutter
from django_gems_example.models import Author

from django_gem.models.base import CutterEngineBaseModel, CutterEngineMetaBase


class AuthorGem(CutterEngineBaseModel):
    book_count = models.IntegerField(default=0)

    class CutterEngineMeta(CutterEngineMetaBase):
        model = Author
        cutter = AuthorCutter

To access these fields from the main model, you need to define a property on the model with the same name as the Gem field name, and wrap it with a gem_property decorator.

from django.db import models

from django_gem.decorators import gem_property


class Author(models.Model):
    name = models.CharField(max_length=100)

    @gem_property
    def book_count(self):
        return self.gem.book_count

All the calculations happen implicitly, as cutter_registry that is populated on Django app startup loads all the related models and attaches hooks for calculation. But, if needed, there are methods that you can invoke directly from the Saw class. It allows refreshing a model, a queryset or an entire content type.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

django_gem-1.5.3.tar.gz (21.8 kB view details)

Uploaded Source

Built Distribution

django_gem-1.5.3-py3-none-any.whl (38.8 kB view details)

Uploaded Python 3

File details

Details for the file django_gem-1.5.3.tar.gz.

File metadata

  • Download URL: django_gem-1.5.3.tar.gz
  • Upload date:
  • Size: 21.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.0 Linux/6.5.0-1023-azure

File hashes

Hashes for django_gem-1.5.3.tar.gz
Algorithm Hash digest
SHA256 60e1785f237f8f198d2280a4a4bcc93be1e580529b3302da56cebc0afa5b1689
MD5 ffd11d9ebc1f7da5037a118deaa067dd
BLAKE2b-256 5e3fcb1ba79fe3eb560e4c587d3da08725075b142ba69d86484c8d728c23808e

See more details on using hashes here.

File details

Details for the file django_gem-1.5.3-py3-none-any.whl.

File metadata

  • Download URL: django_gem-1.5.3-py3-none-any.whl
  • Upload date:
  • Size: 38.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.0 Linux/6.5.0-1023-azure

File hashes

Hashes for django_gem-1.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 a751481db93330461c598ebedc0a362149fb106ce28234fcc27409080f5a808f
MD5 b74fd73dd538294884e908e0a99f1b5c
BLAKE2b-256 0bc6479fa195421765ca3c0cd58ea632bd66a8cca7d2c6493673e9ca36c84d7a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page