index.js

import trainingSet from './fw.json'

import { __, add, countBy, curry, difference, head, identity, intersection, keys, lensProp, map, mapObjIndexed, mergeAll, multiply, over, pick, pipe, prepend, prop, reduce, split, view, zipWith } from 'ramda'
import { indexBy, log, mergeWith, without } from '../utils'

// Lenses
const titleL = lensProp('title')
const pairingsL = lensProp('pairings')

// String -> String
// ~= input "Helvetica (20)"
//   output "Helvetica"
const cleanTitle = pipe(split(/\s\(/), head)

const removeTitleFromPairings = (font) => over(pairingsL, without(view(titleL, font)), font)

const processFonts = pipe(
  map(over(titleL, cleanTitle)),
  map(removeTitleFromPairings),
  map(over(pairingsL, countBy(identity))),
  indexBy('title')
)

const fonts = processFonts(trainingSet)

const getFont = prop(__, fonts)
const getSimilar = prop('best_similar')
const getPairings = prop('pairings')

// (a -> Number) -> { k: a } -> { k: a }
const reweight = curry((multiplier, object) => {
  return mapObjIndexed(multiply(0.5), object)
})

const thisReducer = (acc, val) => {
  const accKeys = keys(acc)
  const valKeys = keys(val)

  const commonKeys = intersection(valKeys, accKeys)
  const newKeys = difference(valKeys, accKeys)

  const newObj = pick(newKeys, val)
  const newCommon = mergeWith(add, pick(commonKeys, acc), pick(commonKeys, val))

  return mergeAll([acc, newObj, newCommon])
}

const pairingsForFont = name => {
  const font = getFont(name)
  return pipe(
    getSimilar,
    map(getFont),
    map(getPairings),
    map(reweight(0.5)),
    prepend(getPairings(font)),
    reduce(thisReducer, {})
  )(font)
}

log(pairingsForFont('Merriweather'))

// import { Graph } from 'algorithms/data_structures'
// //
// const G = new Graph()
// G.addVertex('Akzidenz Grotesk')
// G.addVertex('Helvetica Neue')