A match making game server designed to bring together players based on a weighted set of attributes then offload the rest of the communication to a peer-to-peer communication layer when possible for all the heavy chatter.
The storage of user related information is stored in MongoDB in order to take advantage of the aggregation framework. Latest commit f Oct 26, eerwitt fixing tests, having issues saving a created factory.
This is an arbitrary choice based on the thinking that the server will not be selecting all players from a partition who are online and instead grabbing player meta data based on the list of those online.
For testing Mocha is used as the BDD testing suite of choice. You can't perform that action at this matchmaking.
Tests can be run with the command jasmine-node --autotest --color --coffee spec. You signed in with another tab or window. Reload to refresh your session.
GitHub is home to over 20 million developers working together to host and review code, manage projects, and build software together. It is matchmaking to replace with more tested production systems such as Eventmachine or Twisted.
Permalink Failed to load latest commit information. Project ideas Connects to database dating after a long term marriage gets a list of online users unbounded?
Once the required libraries are installed the server can be run with the command mongod which will also start MongoDB on your local system. Installation of required NPM packages can be installed by running npm install from the base project directory.
You signed out in another tab or window. A relational database might be found more efficient in which case the data abstraction layer should be interchangeable.
Stores a vector filled with meta data about previous games and connections Offline summations over previous games to cluster players for recommendations maybe Weighted decision tree of basic checks between players during each connection svd? MongoDB The storage of user related information is stored in MongoDB in order to take advantage of the aggregation framework.
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