Skip to content

ARAM Academy is the premier ARAM-exclusive stats tracking site for League of Legends

License

Notifications You must be signed in to change notification settings

JamesMcGaa/aramacademy

Repository files navigation

image

ARAM Academy is an ARAM-exclusive statistics aggregator for League of Legends. We provide leaderboards, rank badge estimates, and champion-level winrates across the entirety of a players ARAM data provided by the Riot API.

Visit us today at https://aram.academy and join our Discord

Hosting

ARAM Academy is hosted on a t2.medium AWS instance. Our MongoDB instance is hosted on Mongo DB Atlas.

Directory Structure

  • src - Front end UI. Written in React and styled with Material UI. app.js is the main entrypoint and index.js does the URL routing. resources.js contains some hardcoded champion data (e.g. converting DB names MonkeyKing => Wukong). A note about images: webpack grabs and packages images into the dist/static directory. It will automatically pick up any image references you make, but you must require.context them (like the resources.js file does)
  • backend - Our backend is implemented with express. backendAPIRouter.js handles API calls to our ARAM data infrastructure (infra_entrypoint.js) as well as other GET and POST requests for things like MMR from WhatIsMyMMR, current patch from DDragon. We await on our infra calls, but limit the number of concurrent async requests being processed.
  • dist - Images generated from webpack
  • logs - Error logs generated from infra
  • infra - infra_entrypoint.js is the main entrypoint. Calls to Kayn API are sectioned into kayn_calls.js. Utility definitions of enums, constants, and data manipulation functions are found in utils.js. leaderboard_update.js handles updating the leaderboard on a daily basis. It grabs all high elo games from a recent time period and checks MMR from WhatIsMyMMR. champion_icons.py loads champion icons from DDragon.
  • models - mongoDB table models

image

Overview

When a user enters their summoner_name, a request is directed to the Users page and a request is made to backendAPIRouter, which calls into processUser of infra_entrypoint. For new users infra aggregates all games available to the Riot API, otherwise the MongoDB record for that user is returned. Users page then refreshes on load depending on if the summoner name is valid or not. Update button runs very similarly - when update is clicked, infra calculates a 'delta' of all ARAM games since the last_processed_game timestamp of this user. These timestamps are attached to the match record data from the Riot API, which we store in MongoDB.

We implement separate React components for mobile UI which are served using the isMobile npm package.

Leaderboard runs separately from our main server, and updates daily overnight.

Execution Instructions

We welcome open source contributors of all types! Please join our Discord community and our team can help with setup.

  1. Install node.js

  2. Install node dependencies with npm install

  3. Install nodemon globally with npm install nodemon -g in same directory

  4. Whitelist IP in MongoDB Atlas project

  5. Start server with npm run start

  6. Create a .env file in the root folder with the following definitions. For keys and DB URIs please either make your own or contact us in the ARAM Academy Discord.

RIOT_API_KEY=key
DEV_MODE=dev
DB_URI=uri

About

ARAM Academy is the premier ARAM-exclusive stats tracking site for League of Legends

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages