slippi-js
This is the official Project Slippi Javascript SDK. It provides tools for parsing .slp
files into structured data and can be used to compute stats. There are already many built-in stats that are computed by the library but the data provided can also be used to compute your own stats.
Installation
With NPM
npm install @slippi/slippi-js
With Yarn
yarn add @slippi/slippi-js
Writing a simple script
- Create a fresh directory on your disk
- Inside this new directory, create a file called
script.js
- Fill the
script.js
file with the following contents:
const { SlippiGame } = require("@slippi/slippi-js");
const game = new SlippiGame("test.slp");
// Get game settings – stage, characters, etc
const settings = game.getSettings();
console.log(settings);
// Get metadata - start time, platform played on, etc
const metadata = game.getMetadata();
console.log(metadata);
// Get computed stats - openings / kill, conversions, etc
const stats = game.getStats();
console.log(stats);
// Get frames – animation state, inputs, etc
// This is used to compute your own stats or get more frame-specific info (advanced)
const frames = game.getFrames();
console.log(frames[0].players); // Print frame when timer starts counting down
- Copy a .slp file into the directory and call it
test.slp
- Browse to the directory from the command line and run the command:
npm install @slippi/slippi-js
. This should create anode_modules
directory in the folder. - Run the command:
node script.js
. This will run the script above and will print data about thetest.slp
file
Reading live files
When using Slippi to mirror gameplay, it can be useful to extract game data about the live game. There are a few different methods of doing this but slippi-js
can also be used to read live files. It is written in such a way where as long as the same SlippiGame class is used, it will only read from disk the data it has not yet read.
One thing to note, when creating the SlippiGame
object, be sure to enable processOnTheFly
to get updated stats as the game progresses.
const game = new SlippiGame("path/to/your/slp/file", { processOnTheFly: true });
An example script for how to do this is provided as part of this repo here: https://github.com/project-slippi/slippi-js/blob/master/scripts/realtimeFileReads.js
To use the above script, do the following:
- Open a terminal prompt in the folder containing the script file and the package.json file
- Run
yarn
to fetch the dependencies - Run
node realtimeFileReads.js "C:\mirror\output\path"
replacing the path argument with where your connected console outputs replay files to
At this point, you should see an output as you play games on the connected console.
Development
Setup
git clone https://github.com/project-slippi/slippi-js
cd slippi-js
yarn install
Build
yarn run build
You can also run yarn run watch
to continuously build whenever changes are detected.
Test
yarn run test