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Python 3 Webserver for browsing Fur Affinity posts efficiently

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PLEASE USE EXPERIMENTAL BRANCH

It works a lot better generally despite it's name. Gonna put it as master when it's tidy.


Python 3 Web Server and Toolset for gathering and browsing content from Fur Affinity posts in customisable lists, quickly and easily.

This project is in active development, some parts are very janky and will need to be fixed.

Outdated Video example

Requirements

  • Python 3
  • Some knowledge of Python 3 (bugs may occur)
  • Requests module (for fetching data)
  • PIL module (for fetching data and optional compression)

Setup

  1. Create a directory for the scripts to work in
  2. Run main.py to start the webserver
  3. Navigate to http://127.0.0.1:6970 in your web browser
  4. Visit http://127.0.0.1:6970/help_cookies or open pages/help_cookies.html to get your cookies set up

Features

  • Posts grouped by users, tags, folders and customisable lists
  • User, keyword and folder search
  • Customisable lists, for everything (users, posts, folders, your own lists!)
  • Customisable buttons, dropdowns, collections and other ways to organise your hoard.
  • Optimised data handling, appending to files.

WIP

  • Optimise use of global variables
  • Make code more readable
  • Improve functionality
  • Interface for Menu/Mark editing

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Python 3 Webserver for browsing Fur Affinity posts efficiently

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