feat: Create a web map application with a FastAPI backend and Leaflet frontend for displaying weather data and analysis.

web/app.py

@@ -359,6 +359,34 @@ def _analyze(city: str) -> Dict[str, Any]:
         }
 
 
+    # ── 15. Extended Multi-Model Daily ──
+    multi_model_daily = {}
+    mm_daily_raw = mm.get("daily_forecasts", {})
+    for i, d_str in enumerate(dates):
+        if i == 0:
+            day_m = current_forecasts.copy()
+            d_val, d_winfo = deb_val, deb_weights
+        else:
+            day_m = mm_daily_raw.get(d_str, {}).copy()
+            if i < len(maxtemps) and maxtemps[i] is not None:
+                day_m["Open-Meteo"] = _sf(maxtemps[i])
+            
+            d_val, d_winfo = None, ""
+            if day_m:
+                try:
+                    blended, winfo = calculate_dynamic_weights(city, day_m)
+                    if blended is not None:
+                        d_val = blended
+                        d_winfo = winfo
+                except Exception:
+                    pass
+        
+        if day_m:
+            multi_model_daily[d_str] = {
+                "models": day_m,
+                "deb": {"prediction": d_val, "weights_info": d_winfo}
+            }
+
     # ── Assemble result ──
     result = {
         "name": city,
@@ -402,6 +430,7 @@ def _analyze(city: str) -> Dict[str, Any]:
             "sunshine_hours": sunshine_h,
         },
         "multi_model": {k: v for k, v in current_forecasts.items() if v is not None},
+        "multi_model_daily": multi_model_daily,
         "deb": {"prediction": deb_val, "weights_info": deb_weights},
         "ensemble": ens_data,
         "probabilities": {

web/static/app.js

@@ -38,6 +38,7 @@ function saveCache() {
 let selectedCity = null;
 let tempChart = null;
 const AUTO_REFRESH_MS = 60 * 60 * 1000; // 1 hour
+let selectedForecastDate = null;
 
 // ──────────────────────────────────────────────────────────
 //  Map Setup
@@ -231,6 +232,7 @@ async function fetchCityDetail(cityName) {
 // ──────────────────────────────────────────────────────────
 async function loadCityDetail(cityName) {
   selectedCity = cityName;
+  selectedForecastDate = null; // Reset selection for new city
   setActiveCityItem(cityName);
   setSelectedMarker(cityName);
 
@@ -316,9 +318,11 @@ function renderPanel(data) {
   renderChart(data);
   // Probabilities
   renderProbabilities(data);
-  // Multi-model
+  // Multi-model & Forecast synchronization
+  if (!selectedForecastDate) {
+    selectedForecastDate = data.local_date;
+  }
   renderModels(data);
-  // Forecast
   renderForecast(data);
   // AI
   renderAI(data);
@@ -653,8 +657,18 @@ function renderProbabilities(data) {
 
 function renderModels(data) {
   const container = document.getElementById("modelBars");
-  const models = data.multi_model || {};
-  const deb = data.deb?.prediction;
+  const targetDate = selectedForecastDate || data.local_date;
+
+  let models = {};
+  let deb = null;
+
+  if (data.multi_model_daily && data.multi_model_daily[targetDate]) {
+    models = data.multi_model_daily[targetDate].models || {};
+    deb = data.multi_model_daily[targetDate].deb?.prediction;
+  } else {
+    models = data.multi_model || {};
+    deb = data.deb?.prediction;
+  }
 
   if (Object.keys(models).length === 0) {
     container.innerHTML =
@@ -717,9 +731,13 @@ function renderForecast(data) {
   let html = "";
   daily.forEach((d, i) => {
     const isToday = i === 0;
-    const dateLabel = isToday ? "今天" : d.date.substring(5);
+    const isSelected = d.date === selectedForecastDate;
+    const dateLabel = isToday ? "今天" : d.date.substring(5).replace("-", "/");
+
     html += `
-            <div class="forecast-day ${isToday ? "today" : ""}">
+            <div class="forecast-day ${isToday ? "today" : ""} ${isSelected ? "selected" : ""}" 
+                 onclick="switchForecastDate('${data.name}', '${d.date}')"
+                 style="cursor: pointer;">
                 <div class="f-date">${dateLabel}</div>
                 <div class="f-temp">${d.max_temp}${sym}</div>
             </div>
@@ -737,6 +755,17 @@ function renderForecast(data) {
   sunEl.innerHTML = parts.map((p) => `<span>${p}</span>`).join("");
 }
 
+function switchForecastDate(cityName, dateStr) {
+  if (selectedCity !== cityName) return;
+  selectedForecastDate = dateStr;
+
+  const data = cityDataCache[cityName];
+  if (data) {
+    renderModels(data);
+    renderForecast(data);
+  }
+}
+
 function renderAI(data) {
   const container = document.getElementById("aiAnalysis");
   const text = data.ai_analysis || "";

web/static/style.css

@@ -768,6 +768,15 @@ body {
   color: var(--accent-cyan);
 }
 
+.forecast-day.selected {
+  border-color: var(--accent-cyan);
+  background: rgba(34, 211, 238, 0.1);
+  box-shadow: 0 0 12px rgba(34, 211, 238, 0.2);
+}
+.forecast-day.selected .f-date {
+  color: var(--accent-cyan);
+}
+
 .sun-info {
   margin-top: 10px;
   font-size: 12px;