317 lines
9.3 KiB
JavaScript
317 lines
9.3 KiB
JavaScript
let trendChart;
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let map;
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/*
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|--------------------------------------------------------------------------
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| Load Summary Cards
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|--------------------------------------------------------------------------
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*/
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function loadSummary() {
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fetch('/api/dashboard/summary')
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.then(res => res.json())
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.then(data => {
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let html = '';
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data.forEach(item => {
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let trendColor = 'text-secondary';
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if (item.percent_change > 0) trendColor = 'text-danger';
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if (item.percent_change < 0) trendColor = 'text-success';
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html += `
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<div class="col-md-2 mb-3">
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<div class="card shadow-sm h-100">
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<div class="card-body">
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<div class="d-flex justify-content-between">
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<div>
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<h6 class="fw-bold">${item.code}</h6>
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<h3 class="mb-1">${item.current_total}</h3>
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<small class="text-muted">Last 7 days</small>
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</div>
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<div class="text-end">
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<div class="${trendColor} fw-bold">
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${item.percent_change > 0 ? '▲' : item.percent_change < 0 ? '▼' : '–'}
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${Math.abs(item.percent_change)}%
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</div>
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<small class="text-muted">
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${item.previous_total ?? 0} last week
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</small>
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</div>
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</div>
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</div>
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</div>
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</div>
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`;
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});
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document.getElementById('summary_cards').innerHTML = html;
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});
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}
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/*
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|--------------------------------------------------------------------------
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| Load Trend Chart
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|--------------------------------------------------------------------------
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*/
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function loadTrend(periodType, startYear, startWeek, endYear, endWeek) {
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fetch(`/api/dashboard/trend?period_type=${periodType}&start_year=${startYear}&start_week=${startWeek}&end_year=${endYear}&end_week=${endWeek}`)
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.then(res => res.json())
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.then(data => {
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if (trendChart) trendChart.destroy();
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const labelsSet = new Set();
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Object.values(data).forEach(program => {
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program.forEach(row => {
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labelsSet.add(`${row.year}-${row.period}`);
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});
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});
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const labels = Array.from(labelsSet).sort((a, b) => {
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const [yearA, weekA] = a.split('-').map(Number);
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const [yearB, weekB] = b.split('-').map(Number);
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if (yearA !== yearB) return yearA - yearB;
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return weekA - weekB;
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});
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const colors = {
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SARI: '#2563eb',
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ILI: '#10b981',
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LBM: '#9333ea'
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};
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const datasets = [];
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const allowedPrograms = ['SARI', 'ILI', 'LBM'];
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Object.keys(data).forEach(code => {
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if (!allowedPrograms.includes(code)) return;
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const values = labels.map(label => {
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const found = data[code].find(row => `${row.year}-${row.period}` === label);
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return found ? found.total : 0;
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});
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datasets.push({
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label: code,
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data: values,
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borderColor: colors[code],
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backgroundColor: colors[code],
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borderWidth: 3,
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pointRadius: 4,
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fill: false,
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tension: 0.3
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});
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});
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const displayLabels = labels.map(l => {
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const [year, week] = l.split('-');
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return `W${String(week).padStart(2, '0')}`;
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});
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trendChart = new Chart(document.getElementById('trendChart'), {
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type: 'line',
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data: {
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labels: displayLabels,
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datasets: datasets
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},
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options: {
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responsive: true,
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plugins: {
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legend: { position: 'bottom' }
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},
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interaction: {
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mode: 'index',
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intersect: false
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},
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scales: {
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y: {
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beginAtZero: true,
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ticks: { stepSize: 1 }
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},
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x: { grid: { display: false } }
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}
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}
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});
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});
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}
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/*
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|--------------------------------------------------------------------------
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| Province Map Helpers
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|--------------------------------------------------------------------------
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*/
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function normalizeProvince(name, validSet) {
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if (!name || !validSet) return null;
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const clean = str =>
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str.toLowerCase().replace(/\s+/g, '');
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const raw = name.trim();
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const map = {
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"kepville": "Kep",
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"sihanoukville": "Preah Sihanouk",
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"sihanoukvillecity": "Preah Sihanouk",
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"krongpailin": "Pailin",
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"mondulkiri": "Mondulkiri",
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"odormeanchey": "Oddar Meanchey",
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"tbongkhmom": "Tboung Khmum",
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"tboungkhmum": "Tboung Khmum",
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"rattanakiri": "Ratanak Kiri"
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};
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const key = clean(raw);
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if (map[key] && validSet.has(map[key])) {
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return map[key];
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}
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const match = [...validSet].find(p => clean(p) === key);
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return match || null;
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}
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function getRadius(total) {
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if (!total) return 0;
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const r = Math.sqrt(total);
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return Math.max(4, Math.min(r * 2, 22));
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}
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/*
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|--------------------------------------------------------------------------
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| Province Map
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|--------------------------------------------------------------------------
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*/
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function loadProvinceMap(startYear, startWeek, endYear, endWeek) {
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if (map) map.remove();
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map = L.map('provinceMap').setView([12.7, 104.9], 7);
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L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
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attribution: '© OpenStreetMap'
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}).addTo(map);
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Promise.all([
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fetch('/geo/cambodia_provinces.geojson').then(r => r.json()),
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fetch(`/api/dashboard/province-circles?start_year=${startYear}&start_week=${startWeek}&end_year=${endYear}&end_week=${endWeek}`).then(r => r.json())
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])
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.then(([geojson, data]) => {
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const validProvinces = new Set(
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geojson.features.map(f => f.properties.ADM1_EN)
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);
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L.geoJSON(geojson, {
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style: {
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fillOpacity: 0,
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color: '#ccc',
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weight: 1,
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interactive: false
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},
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onEachFeature: function (feature, layer) {
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const province = feature.properties.ADM1_EN;
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const center = layer.getBounds().getCenter();
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const rows = data.filter(d => {
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if (![1, 2, 3].includes(d.surveillance_id)) return false;
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const name = normalizeProvince(d.patient_province, validProvinces);
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return name === province;
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});
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const offsets = { 1: -0.15, 2: 0, 3: 0.15 };
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const colors = {
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1: '#2563eb',
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2: '#10b981',
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3: '#9333ea'
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};
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rows.forEach(row => {
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const percent = row.total
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? ((row.positive / row.total) * 100).toFixed(1)
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: 0;
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const offset = offsets[row.surveillance_id] ?? 0;
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const lat = center.lat;
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const lng = center.lng + offset;
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const programName =
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row.surveillance_id === 1 ? 'SARI' :
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row.surveillance_id === 2 ? 'ILI' : 'LBM';
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L.circleMarker([lat, lng], {
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radius: getRadius(row.total),
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fillColor: colors[row.surveillance_id],
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color: '#fff',
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weight: 1,
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fillOpacity: 0.9
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})
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.bindTooltip(`
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<strong>${province}</strong><br>
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${programName}<br>
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Cases: ${row.total}<br>
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Positivity: ${percent}%
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`)
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.addTo(map);
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});
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}
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}).addTo(map);
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});
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}
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/*
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|--------------------------------------------------------------------------
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| Initialize Dashboard
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|--------------------------------------------------------------------------
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*/
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document.addEventListener("DOMContentLoaded", () => {
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loadSummary();
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new DashboardFilter((startYear, startWeek, endYear, endWeek) => {
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loadTrend('week', startYear, startWeek, endYear, endWeek);
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loadProvinceMap(startYear, startWeek, endYear, endWeek);
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});
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}); |