siimee/backend/db/data-generator/score.js

const cosineSimilarity = require('compute-cosine-similarity')

const config = require('./config')

const preComputedScores = {
    100: {
        100: 1000,
        140: 872,
        180: 675,
        220: 518,
        260: 406,
        400: 215,
    },
    140: {
        100: 872,
        140: 1000,
        180: 938,
        220: 828,
        260: 723,
        400: 486,
    },
    180: {
        100: 675,
        140: 938,
        180: 1000,
        220: 968,
        260: 906,
        400: 706,
    },
    220: {
        100: 518,
        140: 828,
        180: 968,
        220: 1000,
        260: 982,
        400: 847,
    },
    260: {
        100: 406,
        140: 723,
        180: 906,
        220: 982,
        260: 1000,
        400: 928,
    },
    400: {
        100: 215,
        140: 486,
        180: 706,
        220: 847,
        260: 928,
        400: 1000,
    },
}
const score2d = (a, b) => {
    const aScorePlusBase = [100]
    const bScorePlusBase = [100]
    aScorePlusBase.push(a)
    bScorePlusBase.push(b)
    return Math.round(
        Math.pow(cosineSimilarity(aScorePlusBase, bScorePlusBase), 10) *
            config.magic,
    )
}

// Uncomment to rerun precompute
// config.scoreVals.forEach(val => {
//     config.scoreVals.forEach(v => {
//         preComputedScores[val][v] = score2d(val, v)
//     })
// })

module.exports = {
    precomputed: preComputedScores,
}