When writing django apps it's easy to ignore the organization of your front end code. Often, these backend coders will just write a static js and css file, stick it in the static directory, and call it a day.

You can also build them as two completely independent parts. With a complex gulp build routine independent of the django app. But if you don't know gulp, node, or those kinds of systems it can be a daunting process to get started with.

Enter django-compressor-toolkit (the name doesn't quite roll off the tongue).

Using django-compressor and django-compressor-toolkit you can write Javascript ES6 code with all its fancy import/export logic or style your pages with sass instead of css, and leave your deploy routine largely untouched.

Haystack provides an interface similar to Django's QuerySet, which instead enables easy querying in one or more popular search backends. Because the Haystack SearchQuerySet API is meant to hook up to several search backends, however, not all the functionality of the backends has been implemented in the API. In this article we show how Haystack's Elasticsearch backend can be extended with advanced querying functionality.

As an exemplary use case, we'll focus on implementing Elasticsearch's Nested Query in the SearchQuerySetAPI, to enable e.g. weighted tags on documents. The usage of this extended API will be shown first, after which we'll go through the necessary implementation steps.

import search.custom_elasticsearch as ces
from files import FileObject