485 lines
14 KiB
JavaScript
485 lines
14 KiB
JavaScript
const standardPrograms = ['SARI', 'ILI', 'LBM', 'AFI'];
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const programCode = (window.PROGRAM_CODE || '').trim().toUpperCase();
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let map;
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let provinceLayer;
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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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document.addEventListener("DOMContentLoaded", () => {
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if (!standardPrograms.includes(programCode)) return;
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new DashboardFilter((startYear, startWeek, endYear, endWeek) => {
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fetch(`/api/dashboard/program?surveillance_id=${window.SURVEILLANCE_ID}&start_year=${startYear}&start_week=${startWeek}&end_year=${endYear}&end_week=${endWeek}`)
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.then(res => res.json())
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.then(programCode === 'AFI' ? renderAFIDashboard : renderDashboard)
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.catch(err => console.error("Dashboard API error:", err));
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});
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});
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function renderAFIDashboard(data) {
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const pathogenRows = (data.pathogen_distribution || [])
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.sort((a, b) => b.total - a.total);
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const colors = [
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'#2563eb', '#10b981', '#f59e0b', '#ef4444',
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'#8b5cf6', '#14b8a6', '#f97316', '#84cc16', '#e11dba', '#f6f63b'
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];
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renderSummary(data.summary);
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renderAFITrend(data.afi_trend);
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renderProvinceHeatmap(data.province_distribution);
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renderPathogenChart(data.pathogen_distribution);
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renderDemographics(data);
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renderSentinel(data.sentinel_sites || []);
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renderSubtypeChart(data.subtype_distribution || []);
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charts['pathogenChart'].data.datasets[0].backgroundColor = colors;
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charts['pathogenChart'].update();
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charts['ageChart'].data.datasets[0].backgroundColor = colors;
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charts['ageChart'].update();
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charts['sexChart'].data.datasets[0].backgroundColor = colors;
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charts['sexChart'].update();
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charts['sentinelChart'].data.datasets[0].backgroundColor = colors;
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charts['sentinelChart'].update();
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charts['subtypeChart'].data.datasets[0].backgroundColor = colors;
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charts['subtypeChart'].update();
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}
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function renderProvinceHeatmap(rows) {
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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 contributors'
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}).addTo(map);
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addProvinceLegend();
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fetch('/geo/cambodia_provinces.geojson')
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.then(r => r.json())
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.then(geo => {
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const validProvinces = new Set(
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geo.features.map(f => f.properties.ADM1_EN)
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);
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const totals = {};
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rows.forEach(r => {
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// ✅ FIX: use patient_province + validSet
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const province = normalizeProvince(r.patient_province, validProvinces);
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if (!province) return;
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// ✅ FIX: accumulate instead of overwrite
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if (!totals[province]) {
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totals[province] = { total: 0, positive: 0 };
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}
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totals[province].total += Number(r.total);
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totals[province].positive += Number(r.positive);
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});
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function getColor(value) {
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if (value > 50) return "#b91c1c";
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if (value >= 10) return "#ef4444";
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if (value > 0) return "#fecaca";
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return "#f3f4f600";
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}
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provinceLayer = L.geoJSON(geo, {
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style: feature => {
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const province = feature.properties.ADM1_EN;
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const value = totals[province]?.total || 0;
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return {
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color: "#444",
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weight: 1,
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fillColor: getColor(value),
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fillOpacity: 0.7
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};
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},
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onEachFeature: (feature, layer) => {
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const province = feature.properties.ADM1_EN;
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const total = totals[province]?.total || 0;
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const positive = totals[province]?.positive || 0;
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const percent = total
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? ((positive / total) * 100).toFixed(1)
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: 0;
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layer.bindTooltip(`
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${province}<br>
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Total: ${total}<br>
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Positivity: ${percent}%
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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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function addProvinceLegend() {
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const legend = L.control({ position: "bottomright" });
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legend.onAdd = function () {
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const div = L.DomUtil.create("div", "map-legend");
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div.innerHTML = `
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<div style="background:white;padding:10px 12px;border-radius:6px;
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box-shadow:0 2px 6px rgba(0,0,0,0.2);font-size:12px;">
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<div style="font-weight:600;margin-bottom:6px;">Cases</div>
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<div style="display:flex;align-items:center;margin-bottom:4px;">
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<span style="width:12px;height:12px;background:#b91c1c;
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display:inline-block;margin-right:6px;"></span>
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> 50
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</div>
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<div style="display:flex;align-items:center;margin-bottom:4px;">
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<span style="width:12px;height:12px;background:#ef4444;
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display:inline-block;margin-right:6px;"></span>
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10 – 50
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</div>
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<div style="display:flex;align-items:center;margin-bottom:4px;">
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<span style="width:12px;height:12px;background:#fecaca;
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display:inline-block;margin-right:6px;"></span>
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1 – 9
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</div>
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<div style="display:flex;align-items:center;">
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<span style="width:12px;height:12px;background:#f3f4f6;
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display:inline-block;margin-right:6px;"></span>
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0
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</div>
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</div>
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`;
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return div;
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};
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legend.addTo(map);
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}
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function renderTrend(valueId, changeId, current, previous, suffix = '') {
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const valueEl = document.getElementById(valueId);
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const changeEl = document.getElementById(changeId);
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if (!valueEl || !changeEl) return;
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valueEl.textContent = current + suffix;
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if (!previous) {
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changeEl.innerHTML = "— No previous data";
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changeEl.className = "text-muted";
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return;
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}
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const diff = current - previous;
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const percent = ((diff / previous) * 100).toFixed(1);
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if (diff > 0) {
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changeEl.innerHTML = `↑ +${percent}% from previous week`;
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changeEl.className = "text-success";
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}
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else if (diff < 0) {
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changeEl.innerHTML = `↓ ${percent}% from previous week`;
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changeEl.className = "text-danger";
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}
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else {
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changeEl.innerHTML = "— No significant change";
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changeEl.className = "text-muted";
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}
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}
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function renderProgramTrend(rows) {
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rows = rows || [];
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const labels = rows.map(r => `W${r.period}`);
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const samples = rows.map(r => r.total_samples || 0);
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const fluRate = rows.map(r => r.influenza_rate || 0);
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const covidRate = rows.map(r => r.covid_rate || 0);
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buildMixedTrendChart(
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'trendChart',
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labels,
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samples,
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fluRate,
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covidRate
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);
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}
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function renderSummary(summary) {
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summary = summary || {};
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const cases = summary.cases || {};
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const hospital = summary.hospital_rate || {};
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const icu = summary.icu_rate || {};
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const positivity = summary.positivity_rate || {};
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renderTrend(
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"totalCases",
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"casesChange",
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cases.current || 0,
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cases.previous || 0
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);
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renderTrend(
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"influenzaRate",
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"influenzaChange",
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summary.influenza_rate.current,
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summary.influenza_rate.previous,
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"%"
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);
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renderTrend(
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"covidRate",
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"covidChange",
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summary.covid_rate.current,
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summary.covid_rate.previous,
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"%"
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);
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renderTrend(
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"hospitalRate",
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"hospitalChange",
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hospital.current || 0,
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hospital.previous || 0,
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"%"
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);
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renderTrend(
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"icuRate",
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"icuChange",
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icu.current || 0,
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icu.previous || 0,
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"%"
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);
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renderTrend(
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"positivityRate",
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"positivityChange",
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positivity.current || 0,
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positivity.previous || 0,
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"%"
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);
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}
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function renderDashboard(data) {
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data = data || {};
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let virusRows = data.virus_trend || [];
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if (!virusRows.length) {
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virusRows = [
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{ period: '', influenza: 0, covid: 0, total_samples: 0 }
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];
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}
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renderProgramTrend(data.trend || []);
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renderSummary(data.summary || {});
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renderProvinceHeatmap(data.province_distribution || []);
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const pathogenRows = (data.pathogen_distribution || [])
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.sort((a, b) => b.total - a.total);
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const colors = [
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'#2563eb', '#10b981', '#f59e0b', '#ef4444',
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'#8b5cf6', '#14b8a6', '#f97316', '#84cc16', '#e11dba', '#f6f63b'
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];
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buildChart(
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'pathogenChart',
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'doughnut',
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pathogenRows.map(r => r.pathogen),
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pathogenRows.map(r => r.total)
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);
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charts['pathogenChart'].data.datasets[0].backgroundColor = colors;
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charts['pathogenChart'].update();
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buildChart(
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'ageChart',
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'doughnut',
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(data.age_distribution || []).map(r => r.age_group),
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(data.age_distribution || []).map(r => r.total)
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);
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charts['ageChart'].data.datasets[0].backgroundColor = colors;
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charts['ageChart'].update();
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buildChart(
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'sexChart',
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'bar',
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(data.sex_distribution || []).map(r => r.patient_sex),
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(data.sex_distribution || []).map(r => r.total)
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);
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charts['sexChart'].data.datasets[0].backgroundColor = colors;
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charts['sexChart'].update();
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buildChart(
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'subtypeChart',
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'bar',
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(data.subtype_distribution || []).map(r => r.subtype),
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(data.subtype_distribution || []).map(r => r.total)
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);
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charts['subtypeChart'].data.datasets[0].backgroundColor = colors;
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charts['subtypeChart'].update();
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buildChart(
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'sentinelChart',
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'pie',
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(data.sentinel_sites || []).map(r => r.name),
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(data.sentinel_sites || []).map(r => r.total)
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);
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charts['sentinelChart'].data.datasets[0].backgroundColor = colors;
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charts['sentinelChart'].update();
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}
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//AFI
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function renderAFITrend(rows) {
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if (!rows.length) {
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buildStackedChart('trendChart', [], []);
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return;
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}
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const { labels, datasets } = transformAFIData(rows);
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buildStackedChart('trendChart', labels, datasets);
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}
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function transformAFIData(rows) {
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const grouped = {};
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const pathogensSet = new Set();
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rows.forEach(r => {
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const key = `${r.year}-W${r.period}`;
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if (!grouped[key]) {
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grouped[key] = {};
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}
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grouped[key][r.pathogen] = r.total;
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pathogensSet.add(r.pathogen);
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});
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const labels = Object.keys(grouped).sort((a, b) => {
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const [yA, wA] = a.split('-W').map(Number);
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const [yB, wB] = b.split('-W').map(Number);
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return yA === yB ? wA - wB : yA - yB;
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});
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const pathogenTotals = {};
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rows.forEach(r => {
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pathogenTotals[r.pathogen] = (pathogenTotals[r.pathogen] || 0) + r.total;
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});
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const pathogens = Object.keys(pathogenTotals)
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.sort((a, b) => pathogenTotals[b] - pathogenTotals[a]);
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const datasets = pathogens.map(p => ({
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label: p,
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data: labels.map(l => grouped[l][p] || 0),
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backgroundColor: getColorForPathogen(p)
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}));
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return { labels: labels.map(l => l.split('-')[1]), datasets };
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}
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function getColorForPathogen(name) {
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const colors = {
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Dengue: '#2563eb',
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Chikungunya: '#10b981',
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Zika: '#f59e0b',
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Leptospira: '#ef4444',
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Rickettsia: '#8b5cf6',
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Salmonella: '#f97316',
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Plasmodium: '#14b8a6',
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Influenza: '#84cc16'
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};
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if (colors[name]) return colors[name];
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// fallback random color (for future pathogens)
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return `hsl(${Math.floor(Math.random() * 360)}, 70%, 60%)`;
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}
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function renderPathogenChart(rows) {
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buildChart(
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'pathogenChart',
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'doughnut',
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rows.map(r => r.pathogen),
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rows.map(r => r.total)
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);
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}
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function renderSentinel(rows) {
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buildChart(
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'sentinelChart',
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'pie',
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rows.map(r => r.name),
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rows.map(r => r.total)
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);
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}
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function renderDemographics(data) {
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buildChart(
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'ageChart',
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'doughnut',
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(data.age_distribution || []).map(r => r.age_group),
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(data.age_distribution || []).map(r => r.total)
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);
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buildChart(
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'sexChart',
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'bar',
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(data.sex_distribution || []).map(r => r.patient_sex),
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(data.sex_distribution || []).map(r => r.total)
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);
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}
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function renderSubtypeChart(rows) {
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buildChart(
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'subtypeChart',
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'bar',
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rows.map(r => r.subtype),
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rows.map(r => r.total)
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);
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}
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//Seq
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