Prolog

Django-context-cache extends the Django framework with a context cache that caches data per request or per decorated block.

Installation

• Install django-context-cache with the pip command:

pip install django-context-cache

• Add 'context_cache.middleware.ContextCacheMiddleware' to your MIDDLEWARE:

MIDDLEWARE = [
    'context_cache.middleware.ContextCacheMiddleware',
    ...
]

Usage

Imagine having an function or method which result you want to cache per request:

import random
import string
from context_cache.decorators import cache_for_context

@cache_for_context
def get_random_string():
    letters = string.ascii_lowercase
    return ''.join(random.choice(letters) for i in range(10))

If you call function get_random_string more times the value will be get from cache:

def view(request):
    get_random_string() == get_random_string() # should return True

If you want to cache an function out of requests, for example in the django command you can use the decorator init_context_cache. The decorator can be used as a context processor too:

from django.core.management.base import BaseCommand, CommandError
from context_cache.decorators import init_context_cache

class Command(BaseCommand):
    
    @init_context_cache
    def handle(self, *args, **options):
        get_random_string() == get_random_string() # should return True