Add market detail depth caching for dashboard data

data/probability_training_snapshots.jsonl

@@ -177,3 +177,9 @@
 {"city": "tokyo", "timestamp": "2026-04-13T10:00:00.000Z", "date": "2026-04-13", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.4349999999999998, "deb_prediction": 21.9, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 20.3, "ECMWF": 22.8, "GFS": 22.0, "ICON": 22.6, "GEM": 23.2, "JMA": 20.3}, "max_so_far": 23.0, "observation": {"current_temp": 20.0, "humidity": null, "wind_speed_kt": 10.0, "visibility_mi": null, "local_hour": 19.583333333333332}, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
 {"city": "hong kong", "timestamp": "2026-04-13T18:30:00+08:00", "date": "2026-04-13", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.47999999999999987, "deb_prediction": 27.5, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 26.8, "HKO(港天文)": 30.0, "ECMWF": 27.5, "GFS": 26.9, "ICON": 26.8, "GEM": 27.7, "JMA": 28.1}, "max_so_far": 29.7, "observation": {"current_temp": 27.4, "humidity": 77.0, "wind_speed_kt": 2.2, "visibility_mi": null, "local_hour": 18.666666666666668}, "peak_status": "past", "prob_snapshot": [{"v": 29, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
 {"city": "hong kong", "timestamp": "2026-04-13T18:30:00+08:00", "date": "2026-04-13", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.10952569444444488, "deb_prediction": 27.5, "ensemble": {"p10": 28.0, "median": 28.3, "p90": 28.6}, "multi_model": {"Open-Meteo": 26.8, "HKO(港天文)": 30.0, "ECMWF": 27.5, "GFS": 26.9, "ICON": 26.8, "GEM": 27.7, "JMA": 28.1}, "max_so_far": 29.7, "observation": {"current_temp": 27.4, "humidity": 77.0, "wind_speed_kt": 2.2, "visibility_mi": null, "local_hour": 18.666666666666668}, "peak_status": "past", "prob_snapshot": [{"v": 29, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
+{"city": "busan", "timestamp": "2026-04-14T03:00:00.000Z", "date": "2026-04-14", "temp_symbol": "°C", "raw_mu": 19.3, "raw_sigma": 1.8499999999999996, "deb_prediction": 17.1, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 15.8, "ECMWF": 17.1, "GFS": 16.3, "ICON": 18.4, "GEM": 19.5, "JMA": 15.8}, "max_so_far": 19.0, "observation": {"current_temp": 19.0, "humidity": null, "wind_speed_kt": 8.0, "visibility_mi": null, "local_hour": 12.966666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 19, "p": 0.321}, {"v": 20, "p": 0.303}, {"v": 21, "p": 0.215}, {"v": 22, "p": 0.115}], "shadow_prob_snapshot": [{"v": 19, "p": 0.254}, {"v": 20, "p": 0.247}, {"v": 21, "p": 0.204}, {"v": 22, "p": 0.144}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 19.3, "calibrated_sigma": 2.4974999999999996}
+{"city": "busan", "timestamp": "2026-04-14T03:00:00.000Z", "date": "2026-04-14", "temp_symbol": "°C", "raw_mu": 19.3, "raw_sigma": 0.9765625, "deb_prediction": 17.1, "ensemble": {"p10": 15.0, "median": 16.0, "p90": 17.5}, "multi_model": {"Open-Meteo": 15.8, "ECMWF": 17.1, "GFS": 16.3, "ICON": 18.4, "GEM": 19.5, "JMA": 15.8}, "max_so_far": 19.0, "observation": {"current_temp": 19.0, "humidity": null, "wind_speed_kt": 8.0, "visibility_mi": null, "local_hour": 12.966666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 19, "p": 0.48}, {"v": 20, "p": 0.396}, {"v": 21, "p": 0.125}], "shadow_prob_snapshot": [{"v": 19, "p": 0.4}, {"v": 20, "p": 0.359}, {"v": 21, "p": 0.186}, {"v": 22, "p": 0.055}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 19.3, "calibrated_sigma": 1.318359375}
+{"city": "seoul", "timestamp": "2026-04-14T03:30:00.000Z", "date": "2026-04-14", "temp_symbol": "°C", "raw_mu": 23.3, "raw_sigma": 3.8000000000000007, "deb_prediction": 18.7, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 16.3, "ECMWF": 22.3, "GFS": 14.7, "ICON": 21.0, "GEM": 21.8, "JMA": 16.3}, "max_so_far": 23.0, "observation": {"current_temp": 23.0, "humidity": null, "wind_speed_kt": 5.0, "visibility_mi": null, "local_hour": 12.966666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 23, "p": 0.184}, {"v": 24, "p": 0.181}, {"v": 25, "p": 0.167}, {"v": 26, "p": 0.143}], "shadow_prob_snapshot": [{"v": 23, "p": 0.221}, {"v": 24, "p": 0.216}, {"v": 25, "p": 0.189}, {"v": 26, "p": 0.148}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.3, "calibrated_sigma": 3.0}
+{"city": "seoul", "timestamp": "2026-04-14T03:30:00.000Z", "date": "2026-04-14", "temp_symbol": "°C", "raw_mu": 23.3, "raw_sigma": 0.6666666666666673, "deb_prediction": 18.7, "ensemble": {"p10": 17.7, "median": 18.2, "p90": 19.3}, "multi_model": {"Open-Meteo": 16.3, "ECMWF": 22.3, "GFS": 14.7, "ICON": 21.0, "GEM": 21.8, "JMA": 16.3}, "max_so_far": 23.0, "observation": {"current_temp": 23.0, "humidity": null, "wind_speed_kt": 5.0, "visibility_mi": null, "local_hour": 12.966666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 23, "p": 0.569}, {"v": 24, "p": 0.391}, {"v": 25, "p": 0.04}], "shadow_prob_snapshot": [{"v": 23, "p": 0.498}, {"v": 24, "p": 0.398}, {"v": 25, "p": 0.104}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.3, "calibrated_sigma": 0.9000000000000009}
+{"city": "tokyo", "timestamp": "2026-04-14T03:30:00.000Z", "date": "2026-04-14", "temp_symbol": "°C", "raw_mu": 22.7, "raw_sigma": 1.3499999999999996, "deb_prediction": 22.3, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 20.6, "ECMWF": 22.9, "GFS": 22.7, "ICON": 21.7, "GEM": 23.3, "JMA": 20.6}, "max_so_far": 20.0, "observation": {"current_temp": 20.0, "humidity": null, "wind_speed_kt": 7.0, "visibility_mi": null, "local_hour": 12.966666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 23, "p": 0.285}, {"v": 22, "p": 0.257}, {"v": 24, "p": 0.188}, {"v": 21, "p": 0.137}], "shadow_prob_snapshot": [{"v": 23, "p": 0.294}, {"v": 22, "p": 0.263}, {"v": 24, "p": 0.188}, {"v": 21, "p": 0.134}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 22.7, "calibrated_sigma": 1.3014441113240975}
+{"city": "tokyo", "timestamp": "2026-04-14T03:30:00.000Z", "date": "2026-04-14", "temp_symbol": "°C", "raw_mu": 23.089999999999996, "raw_sigma": 1.2890624999999998, "deb_prediction": 22.3, "ensemble": {"p10": 21.8, "median": 24.0, "p90": 25.0}, "multi_model": {"Open-Meteo": 20.6, "ECMWF": 22.9, "GFS": 22.7, "ICON": 21.7, "GEM": 23.3, "JMA": 20.6}, "max_so_far": 20.0, "observation": {"current_temp": 20.0, "humidity": null, "wind_speed_kt": 7.0, "visibility_mi": null, "local_hour": 12.966666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 23, "p": 0.303}, {"v": 24, "p": 0.24}, {"v": 22, "p": 0.216}, {"v": 25, "p": 0.107}], "shadow_prob_snapshot": [{"v": 23, "p": 0.313}, {"v": 24, "p": 0.244}, {"v": 22, "p": 0.218}, {"v": 25, "p": 0.103}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.089999999999996, "calibrated_sigma": 1.2428312132581776}

frontend/hooks/useDashboardStore.tsx

@@ -133,7 +133,7 @@ const EAGER_SUMMARY_PRIORITY_CITY_ORDER = [
   "milan",
   "madrid",
 ] as const;
-type CityDetailDepth = "panel" | "nearby" | "full";
+type CityDetailDepth = "panel" | "market" | "nearby" | "full";
 
 function countAvailableModels(
   detail?: CityDetail | null,
@@ -172,7 +172,16 @@ function hasSparseDetailCoverage(
   );
 }
 
+function hasMarketDetailCoverage(
+  detail?: CityDetail | null,
+  targetDate?: string | null,
+): boolean {
+  if (!detail) return false;
+  return countAvailableModels(detail, targetDate) > 1;
+}
+
 function normalizeDetailDepth(detail?: CityDetail | null): CityDetailDepth {
+  if (detail?.detail_depth === "market") return "market";
   if (detail?.detail_depth === "nearby") return "nearby";
   if (detail?.detail_depth === "panel") return "panel";
   return "full";
@@ -181,9 +190,18 @@ function normalizeDetailDepth(detail?: CityDetail | null): CityDetailDepth {
 function detailSatisfiesDepth(
   detail: CityDetail | null | undefined,
   depth: CityDetailDepth,
+  targetDate?: string | null,
 ) {
   if (!detail) return false;
   if (depth === "panel") return true;
+  if (depth === "market") {
+    const normalized = normalizeDetailDepth(detail);
+    return (
+      normalized === "market" ||
+      normalized === "full" ||
+      hasMarketDetailCoverage(detail, targetDate)
+    );
+  }
   if (depth === "nearby") {
     const normalized = normalizeDetailDepth(detail);
     return normalized === "nearby" || normalized === "full";
@@ -192,7 +210,67 @@ function detailSatisfiesDepth(
 }
 
 function shouldCheckSparseCoverageForDepth(depth: CityDetailDepth) {
-  return depth === "panel" || depth === "full";
+  return depth === "panel" || depth === "market" || depth === "full";
+}
+
+function hasMeaningfulModelMap(
+  value: Record<string, number | null> | undefined,
+): value is Record<string, number | null> {
+  return Boolean(
+    value &&
+      Object.values(value).some((entry) => Number.isFinite(Number(entry))),
+  );
+}
+
+function hasMeaningfulDailyModelMap(
+  value: CityDetail["multi_model_daily"] | undefined,
+) {
+  return Boolean(
+    value &&
+      Object.values(value).some((day) =>
+        hasMeaningfulModelMap(day?.models || undefined),
+      ),
+  );
+}
+
+function mergeCityDetail(
+  current: CityDetail | undefined,
+  incoming: CityDetail,
+): CityDetail {
+  if (!current) return incoming;
+  if (incoming.detail_depth !== "market") return incoming;
+
+  const mergedDepth =
+    current.detail_depth === "full" || current.detail_depth === "nearby"
+      ? current.detail_depth
+      : incoming.detail_depth;
+
+  return {
+    ...current,
+    ...incoming,
+    detail_depth: mergedDepth,
+    current: incoming.current || current.current,
+    airport_current: incoming.airport_current || current.airport_current,
+    deb: incoming.deb || current.deb,
+    probabilities: incoming.probabilities || current.probabilities,
+    trend: incoming.trend || current.trend,
+    multi_model: hasMeaningfulModelMap(incoming.multi_model)
+      ? incoming.multi_model
+      : current.multi_model,
+    multi_model_daily: hasMeaningfulDailyModelMap(incoming.multi_model_daily)
+      ? {
+          ...(current.multi_model_daily || {}),
+          ...(incoming.multi_model_daily || {}),
+        }
+      : current.multi_model_daily,
+    forecast: current.forecast || incoming.forecast,
+    official_nearby: current.official_nearby || incoming.official_nearby,
+    mgm_nearby: current.mgm_nearby || incoming.mgm_nearby,
+    network_lead_signal:
+      current.network_lead_signal || incoming.network_lead_signal,
+    airport_vs_network_delta:
+      current.airport_vs_network_delta ?? incoming.airport_vs_network_delta,
+  };
 }
 
 function getStoredSelectedCityName(cities: CityListItem[]) {
@@ -420,7 +498,7 @@ export function DashboardStoreProvider({
 
         setCityDetailsByName((current) => ({
           ...current,
-          [cityName]: detail,
+          [cityName]: mergeCityDetail(current[cityName], detail),
         }));
         setCitySummariesByName((current) => ({
           ...current,
@@ -444,10 +522,18 @@ export function DashboardStoreProvider({
   ) => {
     const cached = cityDetailsByName[cityName];
     const cachedMeta = cityDetailMetaByName[cityName];
-    const hasRequestedDepth = detailSatisfiesDepth(cached, depth);
+    const marketTargetDate =
+      depth === "market" ? selectedForecastDate || cached?.local_date : null;
+    const hasRequestedDepth = detailSatisfiesDepth(
+      cached,
+      depth,
+      marketTargetDate,
+    );
     const cachedIsSparse =
       shouldCheckSparseCoverageForDepth(depth) &&
-      hasSparseDetailCoverage(cached, cached?.local_date);
+      (depth === "market"
+        ? hasSparseModelCoverage(cached, marketTargetDate)
+        : hasSparseDetailCoverage(cached, cached?.local_date));
     if (
       !force &&
       cached &&
@@ -472,7 +558,7 @@ export function DashboardStoreProvider({
             const detail = latestDetail;
             setCityDetailsByName((current) => ({
               ...current,
-              [cityName]: detail,
+              [cityName]: mergeCityDetail(current[cityName], detail),
             }));
             setCitySummariesByName((current) => ({
               ...current,
@@ -508,7 +594,7 @@ export function DashboardStoreProvider({
     const detail = latestDetail;
     setCityDetailsByName((current) => ({
       ...current,
-      [cityName]: detail,
+      [cityName]: mergeCityDetail(current[cityName], detail),
     }));
     setCitySummariesByName((current) => ({
       ...current,
@@ -858,6 +944,7 @@ export function DashboardStoreProvider({
         if (selectedCityRef.current !== cityName) return;
         setSelectedForecastDate(detail.local_date);
         if (access.authenticated && access.subscriptionActive) {
+          void ensureCityDetail(cityName, false, "market").catch(() => {});
           // 预热市场数据，不做 await 阻塞，后台静默拉取
           void ensureCityMarketScan(
             cityName,
@@ -1101,10 +1188,18 @@ export function DashboardStoreProvider({
         const hasFullCachedDetail =
           detailSatisfiesDepth(cachedDetail, "full") &&
           !hasSparseDetailCoverage(cachedDetail, dateStr);
+        const hasMarketCachedDetail = detailSatisfiesDepth(
+          cachedDetail,
+          "market",
+          dateStr,
+        );
 
         setFutureModalDate(dateStr);
         const cacheKey = getMarketScanCacheKey(selectedCity, dateStr);
         setLoadingState((current) => ({ ...current, marketScan: true }));
+        if (!hasMarketCachedDetail || forceRefresh) {
+          void ensureCityDetail(cityName, forceRefresh, "market").catch(() => {});
+        }
         if (!hasFullCachedDetail || forceRefresh) {
           setLoadingState((current) => ({
             ...current,
@@ -1154,6 +1249,11 @@ export function DashboardStoreProvider({
         const hasFullCachedDetail =
           detailSatisfiesDepth(cachedDetail, "full") &&
           !hasSparseDetailCoverage(cachedDetail, cachedDetail?.local_date);
+        const hasMarketCachedDetail = detailSatisfiesDepth(
+          cachedDetail,
+          "market",
+          cachedDetail?.local_date,
+        );
         const targetDate =
           cachedDetail?.local_date || selectedForecastDate || null;
         if (targetDate) {
@@ -1171,6 +1271,13 @@ export function DashboardStoreProvider({
           futureDeep: needsDetailRefresh,
           marketScan: true,
         }));
+        if (!hasMarketCachedDetail || forceRefresh) {
+          void ensureCityDetail(
+            cityName,
+            Boolean(forceRefresh),
+            "market",
+          ).catch(() => {});
+        }
         const initialTargetDate =
           cachedDetail?.local_date || selectedForecastDate || null;
         const initialMarketKey = getMarketScanCacheKey(

frontend/lib/dashboard-client.ts

@@ -29,9 +29,10 @@ function normalizeCityName(cityName: string) {
   return encodeURIComponent(String(cityName).replace(/\s/g, "-"));
 }
 
-function normalizeDetailDepth(depth?: "panel" | "nearby" | "full") {
+function normalizeDetailDepth(depth?: "panel" | "market" | "nearby" | "full") {
   if (depth === "full") return "full";
   if (depth === "nearby") return "nearby";
+  if (depth === "market") return "market";
   return "panel";
 }
 
@@ -163,7 +164,7 @@ export const dashboardClient = {
 
   async getCityDetail(
     cityName: string,
-    options?: { force?: boolean; depth?: "panel" | "nearby" | "full" },
+    options?: { force?: boolean; depth?: "panel" | "market" | "nearby" | "full" },
   ) {
     const force = options?.force ?? false;
     const depth = normalizeDetailDepth(options?.depth);

frontend/lib/dashboard-types.ts

@@ -327,7 +327,7 @@ export interface AiAnalysisStructured {
 export interface CityDetail {
   name: string;
   display_name: string;
-  detail_depth?: "panel" | "nearby" | "full";
+  detail_depth?: "panel" | "market" | "nearby" | "full";
   lat: number;
   lon: number;
   temp_symbol: string;

web/routes.py

@@ -439,6 +439,8 @@ async def city_detail(
     normalized_depth = str(depth or "panel").strip().lower()
     if normalized_depth == "full":
         detail_mode = "full"
+    elif normalized_depth == "market":
+        detail_mode = "market"
     elif normalized_depth == "nearby":
         detail_mode = "nearby"
     else: