feat: implement the PolyWeather frontend application with Leaflet map, city details panel, and Chart.js temperature trends.
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+2
-60
@@ -40,7 +40,6 @@ let tempChart = null;
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const AUTO_REFRESH_MS = 60 * 60 * 1000; // 1 hour
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let selectedForecastDate = null;
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let nearbyLayerGroup = null;
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let heatLayer = null;
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// ──────────────────────────────────────────────────────────
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// Map Setup
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@@ -68,22 +67,6 @@ function initMap() {
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nearbyLayerGroup = L.layerGroup().addTo(map);
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// Initialize Heatmap layer (requires Leaflet.heat)
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heatLayer = L.heatLayer([], {
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radius: 160, // Large radius for field blending
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blur: 50, // Lower blur for more defined radar-like edges
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max: 1.0, // We will pass normalized intensities [0, 1]
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gradient: {
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0.0: "#3b82f6", // Blue (Coldest in localized set)
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0.2: "#06b6d4", // Cyan
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0.4: "#10b981", // Green
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0.6: "#facc15", // Yellow
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0.8: "#f97316", // Orange
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1.0: "#ef4444", // Red (Hottest in localized set)
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},
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opacity: 0.45,
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}).addTo(map);
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// Close panel and clear selection when clicking on empty map space
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map.on("click", () => {
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closePanel();
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@@ -101,10 +84,8 @@ function updateMapVisibility() {
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// These are the "Ankara-style" local station markers
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if (zoom < 7) {
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if (map.hasLayer(nearbyLayerGroup)) map.removeLayer(nearbyLayerGroup);
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if (heatLayer && map.hasLayer(heatLayer)) map.removeLayer(heatLayer);
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} else {
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if (!map.hasLayer(nearbyLayerGroup)) map.addLayer(nearbyLayerGroup);
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if (heatLayer && !map.hasLayer(heatLayer)) map.addLayer(heatLayer);
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}
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// 2. Handle Primary City Markers (Major vs Minor)
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@@ -313,7 +294,8 @@ function renderNearbyStations(data) {
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let windHtml = "";
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if (st.wind_dir != null) {
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const rot = (parseFloat(st.wind_dir) + 180) % 360;
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const speed = st.wind_speed != null ? `${st.wind_speed}k` : "";
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const speedRaw = parseFloat(st.wind_speed);
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const speed = !isNaN(speedRaw) ? `${speedRaw.toFixed(1)}k` : "";
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windHtml = `
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<div class="wind-info">
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<span class="wind-arrow" style="transform: rotate(${rot}deg)">↑</span>
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@@ -340,46 +322,6 @@ function renderNearbyStations(data) {
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latLngs.push([st.lat, st.lon]);
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});
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// Update Heatmap
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if (heatLayer) {
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const allStations = [...data.mgm_nearby];
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if (data.lat && data.lon && data.current?.temp != null) {
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allStations.push({
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lat: data.lat,
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lon: data.lon,
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temp: data.current.temp,
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});
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}
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// Dynamic Normalization: calculate min/max in current set to show contrast.
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// This allows seeing the 'heat island' even with subtle 0.5C differences.
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const temps = allStations
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.map((s) => parseFloat(s.temp))
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.filter((t) => !isNaN(t));
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if (temps.length > 0) {
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const minT = Math.min(...temps);
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const maxT = Math.max(...temps);
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const range = maxT - minT || 1.0;
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const heatData = allStations.map((st) => {
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const val = parseFloat(st.temp) || minT;
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// Normalize val to 0.0 - 1.0 based on current city data range
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const normalized = range > 0 ? (val - minT) / range : 0.5;
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// We use Math.max(0.1, ...) to ensure even the coldest point has some visible 'field'
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return [st.lat, st.lon, Math.max(0.1, normalized)];
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});
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// Ensure layer is on map before updating to avoid internal Leaflet.heat errors
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if (!map.hasLayer(heatLayer) && map.getZoom() >= 7) {
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heatLayer.addTo(map);
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}
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if (map.hasLayer(heatLayer)) {
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heatLayer.setLatLngs(heatData);
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}
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}
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}
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if (latLngs.length > 1) {
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const bounds = L.latLngBounds(latLngs);
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map.flyToBounds(bounds, {
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