import * as util from './lib/util'
import * as data from './data'
import * as player from './player'

// /* initialization */

// const mass_fields = [
//   "date", "timestamp",
//   "fatalities", "injured", "total_victims",
//   "age", "case", "weapon_type", "weapon_details"
// ].reduce((a,b,i) => {
//   a[b] = i
//   return a
// }, {})

// const gv_fields = [
//   "incident_id", "date",
//   "state", "city_or_county", "address",
//   "n_killed", "n_injured",
//   "incident_url", "source_url", "incident_url_fields_missing",
//   "congressional_district",
//   "gun_stolen", "gun_type", "incident_characteristics",
//   "latitude", "location_description", "longitude",
//   "n_guns_involved",
//   "notes",
//   "participant_age", "participant_age_group", "participant_gender", "participant_name", "participant_relationship", "participant_status", "participant_type",
//   "sources",
//   "state_house_district", "state_senate_district"
// ].reduce((a,b,i) => {
//   a[b] = i
//   return a
// }, {})

// const year_days_by_month = [
//   31, 28, 31, 30,
//   31, 30, 31, 31,
//   30, 31, 30, 31,
//   0
// ].reduce((a, b, i) => {
//   if (i === 0) {
//     return [b]
//   }
//   return a.concat(a[i-1] + b)
// }, [])

// let i = 0, max_i = 0, mass_i = 0
// let datasets = {}, dataset = {}, bounds = {}, diff = []
// let play_fn = play_sequence
// data.load().then(lists => {
//   console.log(lists)

//   const ar15 = lists.ar_15_2016_18
//   datasets['AR-15 2016-18'] = {}
//   datasets['AR-15 2016-18'].name = 'AR-15 (2016-18)'
//   datasets['AR-15 2016-18'].pedal = true
//   datasets['AR-15 2016-18'].play_fn = play_mass_shootings
//   const ar_lines = ar15.lines.map(l => {
//     if (l[gv_fields.incident_characteristics].match('Shots Fired - No Injuries')) {
//       return null
//     }
//     if (l[gv_fields.n_killed] + l[gv_fields.n_injured] < 4) return null
//     const [y, m, d] = l[gv_fields.date].split('-')
//     if (parseInt(y) > 2017) return null
//     const yy = (parseInt(y) - 2016) * 365
//     const mm = year_days_by_month[parseInt(m)]
//     const dd = Math.floor(parseInt(d)) + 14
//     const date = Math.floor((yy + mm + dd) / 7)
//     // console.log(date, y, m, d)
//     let total = l[gv_fields.n_killed] + l[gv_fields.n_injured]
//     if (l[gv_fields.n_killed] === 0) {
//       total = - l[gv_fields.n_injured]
//     }
//     return [
//       date,
//       Math.log(Math.log(total + 10) + 1),
//       "** !!, $$, {} killed, [] injured".replace('**', l[gv_fields.date]).replace('!!', l[gv_fields.city_or_county]).replace('$$', l[gv_fields.state]).replace('{}', l[gv_fields.n_killed]).replace('[]', l[gv_fields.n_injured]),
//       l[gv_fields.n_killed],
//       l[gv_fields.n_injured],
//     ]
//   }).filter(n => !!n)
//   datasets['AR-15 2016-18'].dates = ar_lines.map(a => a[0])
//   datasets['AR-15 2016-18'].dates.push(ar_lines.length)
//   datasets['AR-15 2016-18'].lines = [ar_lines.map(a => a[1])]
//   datasets['AR-15 2016-18'].labels = ar_lines.map(a => a[2])

//   const fm = lists.firearms_manufactured
//   datasets['Firearms Manufactured'] = {}
//   datasets['Firearms Manufactured'].name = 'Firearms Manufactured'
//   datasets['Firearms Manufactured'].play_fn = play_sequence
//   datasets['Firearms Manufactured'].h = fm.h.slice(1, 5)
//   datasets['Firearms Manufactured'].labels = fm.lines.map(l => l.slice(0, 1))
//   datasets['Firearms Manufactured'].lines = fm.lines.map(l => l.slice(1, 5))

//   datasets["Mass Shootings"] = lists.mass_shootings_from_columbine
//   datasets["Mass Shootings"].name = "Mass Shootings"
//   datasets["Mass Shootings"].pedal = true
//   datasets["Mass Shootings"].isMass = true
//   datasets["Mass Shootings"].play_fn = play_mass_shootings
//   const lines = datasets["Mass Shootings"].lines.reverse()
//   const [min_y, ...rest_a] = lines[0][mass_fields.date].split('/')
//   const [max_y, ...rest_b] = lines[lines.length-1][mass_fields.date].split('/')

//   datasets["Mass Shootings"].dates = lines.map(row => {
//     const [y, m, d] = row[mass_fields.date].split('/')
//     return (parseInt(y) - parseInt(min_y)) * 12 + parseInt(m)
//   })
//   datasets["Mass Shootings"].max_i = (parseInt(max_y) - parseInt(min_y)) * 12 + parseInt(12)
//   // console.log('max i', max_i)
//   datasets["Mass Shootings"].data = lines
//   datasets["Mass Shootings"].lines = [lines.map(row => row[mass_fields.total_victims])]
//   ready()
// })

// /* play function for mass shooting data w/ custom timing */

// function play_mass_shootings(i, bounds, diff, note_time, channel="all", exporting) {
//   const { min, max } = bounds
//   const total = dataset.dates.length
//   let pedal_note
//   let notes = [], midi_notes = []
//   let cases = []
//   let timings
//   let week = Math.floor((i)/4) % 4
//   let year = Math.floor((i - (4*4*3)) / 48) // + 2
//   console.log(year)
//   let yy = -year
//   if (year > 0) year += 1
//   let this_one = 0
//   // console.log(i, mass_i, dataset.dates[mass_i], channel, exporting)
//   while (i >= dataset.dates[mass_i] && mass_i < total) {
//     // console.log(i, dataset.dates[mass_i])
//     notes.push(dataset.lines[0][mass_i])
//     if (dataset.isMass) {
//       cases.push(dataset.data[mass_i][mass_fields.date] + ' ' + dataset.data[mass_i][mass_fields.case] +
//         ", " + dataset.data[mass_i][mass_fields.fatalities] + ' dead, ' + dataset.data[mass_i][mass_fields.injured] + ' injured')
//     } else {
//       cases.push(dataset.labels[mass_i])
//       // console.log(dataset.labels[mass_i])
//     }
//     // console.log('push case', dataset.data[mass_i][mass_fields.date] + ' ' + dataset.data[mass_i][mass_fields.case])
//     mass_i += 1
//     this_one += 1
//     if (this_one >= 4) break
//   }

//   if (cases.length) {
//     document.querySelector('#cases').innerHTML = cases.join('<br>')
//   }

//   if (total <= mass_i) {
//     mass_i = 0
//     i = 0
//   } else {
//     i += 1
//   }

//   return [i, [], [], pedal_note]
// }

// /* play the next note in sequence */

// function play_sequence(i, bounds, diff, note_time, channel="all", exporting) {
//   const { rows, min, max } = bounds
//   const count = rows.length * rows[0].length
//   if (i >= count) i = 0
//   const y = Math.floor(i / rows[0].length)
//   const x = i % rows[0].length
//   // if (!x) console.log(y)
//   const n = rows[y][x]
//   i += 1
//   if (i >= count) i = 0
//   const midi_note = play_note( norm(n, min, max) * nx.multiply.value, note_time, channel, exporting)
//   return [i, [midi_note], [128]]
// }

// /* play next note according to sonification */

// function play_next(){
//   if (paused) return
//   let note_time = 120000 / Tone.Transport.bpm.value * note_values[nx.timing.active][0]
//   clearTimeout(playTimeout)
//   playTimeout = setTimeout(play_next, note_time)
//   let [new_i, notes, timings] = play_fn(i, bounds, diff, note_time)
//   if (dataset.labels) {
//     // const j = Math.floor(i / bounds.rows[0].length)
//     // document.querySelector('#cases').innerHTML = dataset.labels[j]
//   }

//   i = new_i
//   if (recording) {
//     let timing = note_values[nx.timing.active][2]
//     if (timing.length) timing = timing[i % timing.length]
//     recorder.addEvent(new MidiWriter.NoteEvent({ pitch: notes, duration: 't' + timing }))
//   }
// }

// /* build and bind the UI */

// function ready() {
//   
// }


document.querySelector('.loading').classList.remove('loading')