Paco Drawing Stats

Important

Machine Learning/AI is not utilized in this project! It's nothing but simple math to parse collected data.

A data analysis and case study created by Kuroji Fusky that collects and parses drawing data from a furry artist and illustrator Paco Panda.

How it works

The main gist of the project is that it uses a web scraper to get new drawing submission from his socials; then cleans up the data and adds it to the database. And using that to build this website and the underlying APIs on it!

It uses a combination of BeautifulSoup4 and Selenium WebDriver to scrap drawing data from Paco's socials and adds it to a Redis database that pushes the image binary and the JSON data along with it.

Once we got the scraped data, it uses FastAPI to provide a REST API and does the data science stuff on the fly.

Setup and Installation

Prerequisites

• Node.js 20 or higher (LTS recommended)
• Python 3.11 or higher
• Yarn
• Docker

Installation

Install the packages from both directories

# Install client website
yarn install

# Go to server
cd src/python

# Setup venv
python -m venv venv

# Linux
source venv/Scripts/activate

# Windows
.\venv\Scripts\activate

# Then install the goodies
pip install -r requirements.txt

[Optional] This project uses both husky and pre-commit, pre-commit needs to be installed first.

pip install pre-commit

Docker

TBA

API

Note

Currently, the public APIs only accept GET requests. Any other request method will respond with 405 Method Not Allowed or 403 Forbidden.

👑 - only allowed to be pushed with an auth token

Endpoints

• GET /stats{?filters}
• GET /artworks
• GET /artwork{/title}
• GET /characters
• GET /character{?names}
• POST /new/character/ 👑
• POST /new/artwork/ 👑

About this project

The project began on October 31st 2021. The possible inspiration from this project is through McBroken (basically a McDonald's broken ice cream machine site) and it'd be interesting to see in all of his drawings to see said data, and its various datasets.

This project collects the following:

• The title and date of the piece
• Number of character(s) appearances, including species and names
• Media type (either drawn digital or traditional)
• Programs/mediums used (i.e. Photoshop, Procreate, etc.)
• The source where I got the data (i.e. FurAffinity, DeviantArt, InkBunny, Weasyl, etc.)

License

Apache License, Version 2.0