Haystack works as search plugin for django. You can use different back ends Elastic-search, Whose, Sorl, Xapian to search objects. All backends work with same code. In this post i am using elasticsearch as backend.
Now we are going to index text content which is stored in structured files such as PDFs, Microsoft Office documents, images, etc using haystack and sorl's
In order to read and store the data, we can use SearchBackend.extract_file_contents(self, file_obj) method. It takes the file object, returns a dictionary containing two keys: metadata and contents. The contents value will be a string containing all of the text which the backend managed to extract from the file contents.
There are many ways for generating PDF in python. In this post I will be presenting PDF files generation with xhtml2pdf.
xhtml2pdf: xhtml2pdf is a HTML/CSS to PDF converter written in Python and therefore platform independent. xhtml2pdf supports for frameworks like Django and simple integration into Python programs. It is also usable as stand alone command line tool.
pisa: pisa is a html2pdf converter using the ReportLab Toolkit, the HTML5lib and pyPdf.
Django has MVT architecture. A view in django is just a callable that takes a request and returns a response. But this can be more than just a function, that contains the actual business logic of an URL. In addition to normal funcation based views Django provides of some classes which can be used as views. These allow you to structure your views and reuse code by inheriting them.
In most of the cases, you need to export the data from your database to different formats. In this post I will show you how to create functions in your Django applications which export data as files. Here I will be covering the mostly used formats: CSV and Excel.