import { Data as PlotlyData, Plot } from './plot/mod.ts'

type Data = {
	timestamp: string //ISO string
	volume: number //mL
	ipam: number //ipam
	record: {
		pression: number //bar
		mass: number //g
		timestamp: number //s
	}[]
}

function parseDatas(file: string): Data {
	const lines = file.split('\n')

	lines.shift() //remove title
	const [day, month, year, time] = lines.shift()!.split(' ')
	const monthList = [
		'_',
		'janvier',
		'fevrier',
		'mars',
		'avril',
		'mai',
		'juin',
		'juillet',
		'aout',
		'septembre',
		'decembre',
	]
	const timestamp = `${year}-${
		monthList.indexOf(month).toString().padStart(2, '0')
	}-${day.padStart(2, '0')}T${time}`

	lines.shift() //remove empty line
	const volume = lines.shift()!.split(';').slice(1).map(Number).at(0)!
	const ipam = lines.shift()!.split(';').slice(1).map(Number).at(0)!

	lines.shift() //remove empty line
	lines.shift() //remove title
	const record = lines
		.map((line) => line.split(';').slice(1).map(Number))
		.map(([pression, mass, timestamp]) => ({ pression, mass, timestamp }))

	return {
		timestamp,
		volume,
		ipam,
		record,
	}
}

function getDatasPlot(datas: Data): Partial<PlotlyData>[] {
	const relativeTimestamp = datas.record.map((data) =>
		data.timestamp - datas.record[0].timestamp
	)
	const meta = `${datas.volume}mL ${datas.ipam}IPAM ${
		datas.timestamp.split('T')[1]
	}`

	const { ipam } = datas

	return [
		{
			x: relativeTimestamp, //.map(Math.log10),
			y: datas.record.map((data) => data.mass),
			name: `mass (${meta})`,
			line: {
				color: `rgb(${50 * Math.log(ipam)}, 0, ${255 - 50 * Math.log(ipam)})`,
			},
		},
		// {
		// 	x: relativeTimestamp,
		// 	y: datas.record.map((data) => data.pression),
		// 	name: `pression (${meta})`,
		// 	yaxis: 'y2',
		// 	line: {
		// 		color: `rgb(${50 * Math.log(ipam)}, 0, ${255 - 50 * Math.log(ipam)})`,
		// 	},
		// },
	]
}

const plot = new Plot()

const plots: Partial<PlotlyData>[] = []

for await (const file of Deno.readDir('./datas')) {
	if (!file.isFile) continue
	if (!file.name.match(/Vrr3_\d{2}-\d{2}_\d{2}-\d{2}\.csv/)) continue
	const path = `./datas/${file.name}`

	const csv = await Deno.readTextFile(path)
	const datas = parseDatas(csv)
	plots.push(...getDatasPlot(datas))
}

plot.plot(plots, {
	xaxis: { title: { text: 'timestamp' } },
	yaxis: { title: { text: 'mass [g]' } },
	yaxis2: { title: { text: 'pression [bar]' }, side: 'right' },
})