weather/dark-sky.js

const log = console.log
const fs = require('fs')
const {table, getBorderCharacters} = require('table')
const argv = require('yargs').argv

const TABLE_CONFIG = {
  // columns: {
    // 0: { alignment: 'center' },
    // 1: { alignment: 'center' },
    // 2: { alignment: 'center' },
  // },
  border: getBorderCharacters(`ramac`)
}
const HIDE_PRECIP_LESS_THAN = 10
// const CREDIT_MSG = "Powered by Dark Sky: https://darksky.net/poweredby/"
// const CREDIT_MSG = "https://darksky.net/poweredby • https://smol.gq/wthr-src\n"
const CREDIT_MSG = "darksky.net/poweredby • smol.gq/wthr-src\n"

// https://medium.com/@osiolabs/read-write-json-files-with-node-js-92d03cc82824
const jsonReader = (filePath, cb) => {
  fs.readFile(filePath, (err, fileData) => {
    if (err) {
      return cb && cb(err)
    }
    try {
      const object = JSON.parse(fileData)
      return cb && cb(null, object)
    } catch(err) {
      return cb && cb(err)
    }
  })
}

const round5 = x => { return Math.ceil(x / 5) * 5 }

const logWeatherJson = (jsonFile, loc) => { 
  return new Promise((resolve, reject) => { 
    jsonReader(jsonFile, (err, weatherInfo) => {
      if (err) {
        reject(err)
      }
      
      log(loc)

      if (argv.v) {
        const infoList = [['H', '°C', '%P']]
        for (let i = 0; i < 12; i++) {
          const hourInfo = weatherInfo['hourly']['data'][i]
          const date = new Date(hourInfo['time'] * 1000)
          infoList.push([date.getHours(),
            Math.floor(hourInfo['apparentTemperature']),
            Math.floor(hourInfo['precipProbability'])])
        }
        log(table(infoList, TABLE_CONFIG));
      } else {
        // horizontal
        const hoursList = ['H']
        const tempsList = ['°C']
        const precipList = ['%P']
        for (let i = 0; i < 16; i += 2) {
          const hourInfo = weatherInfo['hourly']['data'][i]
          const date = new Date(hourInfo['time'] * 1000)
          hoursList.push(date.getHours())
          tempsList.push(Math.floor(hourInfo['apparentTemperature']))
          // const precipProbability = Math.floor(hourInfo['precipProbability'] * 10) / 10
          const precipProbability = round5(hourInfo['precipProbability'] * 100)
          precipList.push((precipProbability < HIDE_PRECIP_LESS_THAN)
            ? '' : precipProbability)
        }
        const maxTempIndex = tempsList.indexOf(Math.max(...tempsList.slice(1)))
        const minTempIndex = tempsList.indexOf(Math.min(...tempsList.slice(1)))
        tempsList[maxTempIndex] = `${tempsList[maxTempIndex]}+`
        tempsList[minTempIndex] = `${tempsList[minTempIndex]}-`
        log(table([hoursList, tempsList, precipList], TABLE_CONFIG));
      }
      resolve()
    })
  })
}

const formatTimeUnit = unit => { return ((unit < 10) ? '0' : '') + unit }
log(CREDIT_MSG) 
logTablePromises = [
  logWeatherJson('./toronto.json', 'Toronto'),
  logWeatherJson('./markham.json', 'Markham'), 
]
Promise.all(logTablePromises).then(results => {})