chinesedfan / google_codejam_stats

Website for examining statistics of Google Code Jam rounds

Home Page:https://vstrimaitis.github.io/google_codejam_stats/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Google Code Jam Stats

Website for examining statistics of Google Code Jam rounds

Why?

There are some great website already up (e.g. https://a2oj.com/CodeJamTools/ and https://www.go-hero.net/jam), but they only provide data for rounds up to the year 2017. This website uses the new Google Competitions API, which was launched in 2018, to collect and display some statistics about past rounds.

Development

The project uses these technologies:

  • Python 3.6 for retrieving round data
  • React + TypeScript for the frontend

The script scores.py is used to download and save data about a given Google Code Jam round. It downloads the scoreboard 200 entries at a time, because (at least when I developed this), the API seemed to allow getting at most 200 entries with one request. So the script retrieves the data in windows of size 200 until all the results are downloaded.

To run the script, use the command line python scores.py <round_id>, where round_id is the ID of the round and can be extracted from the URL of the contest, which you want to download the data for. For example, the URL of the Qualification Round 2019 is https://codingcompetitions.withgoogle.com/codejam/round/0000000000051705. The ID of this round in this case is 0000000000051705.

The folder client/ holds the client code. It is written using React and TypeScript. The actual data, downloaded by the mentioned script is stored in client/public/round_data/ and served as a static resource. It would, of course, be better to use a database, but this website is hosted on Github Pages, which only allows static sites.

You can run the app locally by opening a terminal in the client/ folder and running npm start.

About

Website for examining statistics of Google Code Jam rounds

https://vstrimaitis.github.io/google_codejam_stats/


Languages

Language:TypeScript 75.9%Language:CSS 10.5%Language:Python 9.7%Language:HTML 3.9%