const buildings = {
    "MC": {
        name: "McDermott Library",
        bounds: [
            [32.98732, -96.74801],
            [32.98732, -96.74723],
            [32.98660, -96.74723],
            [32.98660, -96.74801]
        ],
    },
    "SU": {
        name: "Student Union",
        bounds: [
            [32.98711, -96.74909],
            [32.98711, -96.74848],
            [32.98661, -96.74849],
            [32.98661, -96.74910]
        ]
    },
    "ECSW": {
        name: "Engineering and Computer Science West",
        bounds: [
            [32.98639, -96.75217],
            [32.98638, -96.75128],
            [32.98579, -96.75119],
            [32.98581, -96.75217]
        ]
    }
}

const data = getData()

const map = L.map('map', {
    minZoom: 15,
    maxZoom: 18
}).setView([32.98613, -96.75042], 18)

const STEP = 2 * 60 * 1000
const INTERVAL = 10 * 60 * 1000 + STEP

L.tileLayer('https://api.mapbox.com/styles/v1/{id}/tiles/{z}/{x}/{y}?access_token=pk.eyJ1IjoibWFwYm94IiwiYSI6ImNpejY4NXVycTA2emYycXBndHRqcmZ3N3gifQ.rJcFIG214AriISLbB6B5aw', {
    maxZoom: 18,
    attribution: 'Map data &copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors',
    id: 'mapbox/dark-v10',
    // id: 'mapbox/streets-v11',
    tileSize: 512,
    zoomOffset: -1
}).addTo(map)


for (const [id, building] of Object.entries(buildings)) {
    // console.log(id, building)
    const poly = L.polygon(building.bounds)

    poly.on('click', ev => {
        // console.log(ev)
        map.panTo(poly.getCenter())
        displayCard(id)
    }).addTo(map)

    poly.setStyle({
        color: '#727272',
        opacity: .5
    })

    buildings[id].poly = poly
}

// Update map colors every minute
drawRegions()
let chart = null
let currentChart = null
setInterval(() => {
    drawRegions()
    if (chart) {
        updateChart(currentChart)
    }
}, 60 * 1000)

async function drawRegions() {
    const data = await getData()

    const ecsw = data.filter(d => d.loc === 'ECSW' && Date.now() - d.time < INTERVAL)

    console.log(ecsw)

    const avg = ecsw.reduce((acc, v) => acc + v.count, 0) / ecsw.length
    const current = ecsw[ecsw.length - 1]?.count ?? NaN
    const delta = current - avg

    if (Number.isNaN(delta)) return
    
    const min = Math.min(...data.map(d => d.count))
    const max = Math.max(...data.map(d => d.count))

    if (max == min) return

    const red = new Color(255, 0, 0)
    const green = new Color(0, 255, 0)
    console.log({current, max, min})
    const color = green.interpolate(red, (current - min) / (max - min))

    buildings.ECSW.poly.setStyle({ color: color.asRgbCss() })
    console.log({avg, current, delta, color})
}

class Color {
    constructor(r, g, b) {
        this.r = Math.max(0, Math.min(255, r))
        this.g = Math.max(0, Math.min(255, g))
        this.b = Math.max(0, Math.min(255, b))
    }
    asRgbCss() {
        return "rgb("+this.r+", "+this.g+", "+this.b+")"
    }
    interpolate(other, ratio) {
        return new Color(
            this.r + (other.r - this.r) * ratio,
            this.g + (other.g - this.g) * ratio,
            this.b + (other.b - this.b) * ratio
        )
    }
}


function getData() {
    return fetch('/db.csv').then(res => res.text()).then(text => {
        return text.trim().split('\n').map(line => {
            const [loc, time, count] = line.split(',')
            return { loc, time: new Date(+time), count: parseInt(count) }
        })
    })
}

function lerp(v0, v1, x) {
    return (1 - x) * v0 + x * v1
}


async function displayCard(id) {
    const data = (await getData()).filter(d => d.loc === id && Date.now() - d.time < INTERVAL)
    const card = document.getElementById("card")
    await card.animate([
        { transform: 'translateY(50px)', opacity: "0" },
    ], {
        duration: 200,
        fill: 'forwards',
        easing: 'cubic-bezier(0.4, 0.0, 1, 1)'
    }).finished

    console.log(data)
    
    const current = data[data.length - 1]?.count ?? NaN
    const avg = data.reduce((acc, v) => acc + v.count, 0) / data.length
    const delta = current - avg
    const busy = 0 < delta

    console.log({busy, avg, current, delta})

    const msg = Number.isNaN(delta) ? "No data..."
        : (busy ? "Busier than usual": "Not as busy :)")

    card.innerHTML = `
        <h1>${buildings[id].name}</h1>
        <p>${msg}</p>
        <canvas id="myChart" height="80"></canvas>
    `
    card.style.setProperty("--region", `'${id}'`)
    chart = null
    updateChart(id)
    await card.animate([
        { transform: 'translateY(0%)', opacity: "1" },
    ], {
        duration: 200,
        fill: 'forwards',
        easing: 'cubic-bezier(0.0, 0.0, 0.2, 1)'
    }).finished
}


async function updateChart(id) {
    currentChart = id
    const parsed = (await getData())
        .filter(d => d.loc === id && Date.now() - d.time < INTERVAL)
        .map(d => {
            // this is 0-5
            let ago = Math.floor((Date.now() - d.time) / STEP)
            // if (20 < ago) ago = 20
            return {time: d.time, ago, count: d.count}
        }).reduce((acc, v) => {
            if (!acc[v.ago]) {
                acc[v.ago] = []
            }
            acc[v.ago].push(v.count)
            return acc
        }, Array.from({ length: 6 })).map(v => {
            if (typeof v === 'undefined') return NaN
            return v.reduce((acc, v) => acc + v, 0) / v.length
        })

    const canvas = document.getElementById('myChart')
    canvas.innerHTML = canvas.innerHTML
    const ctx = canvas.getContext('2d')


    const min = STEP / 1000 / 60

    const labels = [
        'Now', `${min}m ago`, `${min * 2}m ago`, `${min * 3}m ago`, `${min * 4}m ago`, `${min * 5}m ago`
    ].reverse()

    if (!chart) {
        chart = new Chart(ctx, {
            type: 'line',
            data: {
                labels,
                datasets: [{
                    label: 'Density',
                    data: parsed.slice(0, labels.length).reverse(),
                    borderColor: '#55aadd',
                    backgroundColor: '#55aadd',
                    // borderWidth: 2
                }]
            },
            options: {
                scales: {
                    x: {
                        beginAtZero: true,
                    },
                    y: {
                        beginAtZero: true,
                    }
                }
            }
        })
    } else {
        chart.data.datasets = [{
            label: 'Density',
            data: parsed.slice(0, labels.length).reverse(),
            borderColor: '#55aadd',
            backgroundColor: '#55aadd',
            // borderWidth: 2
        }]
        chart.update()
    }


}