awair-scriptable-template.js

// change these
const token = ""
const device_type = ""
const device_id = ""

// instantiate widget
const data = await fetchData()
const widget = createWidget(data)
Script.setWidget(widget)
Script.complete()

function createWidget(data) {
	console.log(data)
	const lw = new ListWidget()
	const bgColor = new LinearGradient()
	bgColor.colors = [new Color("#000"), new Color("#000")]
	bgColor.locations = [0.0, 1.0]
	lw.backgroundGradient = bgColor
	lw.centerAlignContent()
	const datetime = new Date()
	const dfTime = new DateFormatter()
	dfTime.locale = "gb"
	dfTime.useShortDateStyle()
	dfTime.useShortTimeStyle()
	const datetimeLine = lw.addText(`${dfTime.string(datetime)}`)
	datetimeLine.textSize = 12
	datetimeLine.textColor = new Color("#ccc")
	const temperatureLine = lw.addText(`[🌡] ${Number(data.temp).toFixed(2)}°F`)
	temperatureLine.textSize = 12
	temperatureLine.textColor = new Color("#ccc")
	const humidityLine = lw.addText(`[️☔️] ${Number(data.humid).toFixed(2)}%`)
	humidityLine.textSize = 12
	humidityLine.textColor = new Color("#ccc")
	const co2Line = lw.addText(`[🌬] ${Number(data.co2).toFixed(0)} ppm`)
	co2Line.textSize = 12
	co2Line.textColor = new Color("#ccc")
	const tvocLine = lw.addText(`[♨️] ${Number(data.voc).toFixed(0)} ppb`)
	tvocLine.textSize = 12
	tvocLine.textColor = new Color("#ccc")
	const pm25Line = lw.addText(`[🚬] ${Number(data.pm25).toFixed(0)} μg/m³`)
	pm25Line.textSize = 12
	pm25Line.textColor = new Color("#ccc")
	return lw
}

async function fetchData() {
	const bearer_token = "Bearer " + token
	const headers = {"Authorization": bearer_token}
	const url = `https://developer-apis.awair.is/v1/users/self/devices/${device_type}/${device_id}/air-data/raw?limit=12&desc=true&fahrenheit=true`
	const request = new Request(url)
	request.headers = headers
	const resp = await request.loadJSON()
	const data = resp.data
	const sensors = data
			.map(sensor => sensor.sensors)
			.reduce((a, b) => a.concat(b))
			.reduce((a, b) => {a[b.comp] = a[b.comp] ? 0.5*(a[b.comp] + b.value) : b.value; return a}, {});
// 	const score = data.reduce((a, b) => {return a + b.score}, 0) / data.length;
	return sensors
}

purple-air-scriptable-template.js

// change this
const station_id = ""

const purple_air_url = "https://www.purpleair.com/json?show=" + station_id

// instantiate widget
const data = await fetchData()
const widget = createWidget(data)
Script.setWidget(widget)
Script.complete()

function createWidget(data) {
	console.log(data)
	const lw = new ListWidget()
	const bgColor = new LinearGradient()
	bgColor.colors = [new Color("#000"), new Color("#000")]
	bgColor.locations = [0.0, 1.0]
	lw.backgroundGradient = bgColor
	lw.centerAlignContent()
	const datetimeLine = lw.addText(`${data.last_seen}`)
	datetimeLine.textSize = 12
	datetimeLine.textColor = new Color("#ccc")
	const temperatureLine = lw.addText(`[🌡] ${Number(data.temp).toFixed(0)}°F`)
	temperatureLine.textSize = 12
	temperatureLine.textColor = new Color("#ccc")
	const humidityLine = lw.addText(`[️☔️] ${Number(data.humid).toFixed(0)}%`)
	humidityLine.textSize = 12
	humidityLine.textColor = new Color("#ccc")
	const co2Line = lw.addText(`[🌬] `)
	co2Line.textSize = 12
	co2Line.textColor = new Color("#ccc")
	const tvocLine = lw.addText(`[♨️] `)
	tvocLine.textSize = 12
	tvocLine.textColor = new Color("#ccc")
	const pm25Line = lw.addText(`[🚬] ${Number(data.pm25).toFixed(2)} μg/m³`)
	pm25Line.textSize = 12
	pm25Line.textColor = new Color("#ccc")
	const pressureLine = lw.addText(`[🚩] ${Number(data.pressure).toFixed(2)} mbar`)
	pressureLine.textSize = 12
	pressureLine.textColor = new Color("#ccc")
	return lw
}

async function fetchData() {
	const request = new Request(purple_air_url)
	const resp = await request.loadJSON()
	const data = resp.results[0]
	const sensors = {}
	sensors.pm25 = data.PM2_5Value
	sensors.temp = data.temp_f
	sensors.humid = data.humidity
	sensors.pressure = data.pressure
	const datetime = new Date(data.LastSeen * 1000)
	const dfTime = new DateFormatter()
	dfTime.locale = "gb"
	dfTime.useShortDateStyle()
	dfTime.useShortTimeStyle()
	sensors.last_seen =  dfTime.string(datetime)
	return sensors
}