Quickstart

Download all dependencies with pip3 install -r requirements.txt

Launch development mode :

flask run --debug

Launch production mode :

gunicorn app:app --bind 0.0.0.0:8000

🇫🇷 Code's comments and interface only in French for now

Config

• Set .env file with .env.sample template
• The scraper will be automatically launched when the project starts, but you can also update the data through the interface

Technologies & Librairies:

Scraper

• Python
  • BeautifulSoup
  • Flask

Interface

• Vanilla JavaScript
  • Chart.js

Sources

• Documentation BeautifulSoup: https://www.crummy.com/software/BeautifulSoup/bs4/doc/#searching-by-css-class
• Web Scraping Basics: https://towardsdatascience.com/web-scraping-basics-82f8b5acd45c
• Extract JSON from HTML using BeautifulSoup in Python: https://www.geeksforgeeks.org/extract-json-from-html-using-beautifulsoup-in-python/
• How to read JSON files into HTML using JavaScript's fetch (no D3, no jQuery, vanilla JS!): https://www.youtube.com/watch?v=C3dfjyft_m4
• Onefootball design: https://onefootball.com/fr/competition/ligue-1-uber-eats-23/classement
• Iconoir: https://iconoir.com

TODO

• Time update
  • Sorting charts and all fixtures by date or by matchday (with ./team settings button)
  • Sort automatically next matchday fixtures by date
  • Print 6 last and next fixtures by time (with matchday indicator)
• Championship and pool management
  • Input to set championship
  • Select to set pool
• PR on GitHub
• New server scheduling system, launch automatically at starting the scraper (CRON ?)
• Sort an array teams by rank (and not by default) for display ranking
• Beter JS organization (ternary operator, setAttribute(), ...)
• Light theme
• Refresh animation with icon
• Handle proxy error on Scraper
• Loader

Bugs

• Pool selection
• To validate : add penalty compability