Fix model summary local time and regions

frontend/components/dashboard/scan-terminal/ModelSummaryDashboard.tsx

@@ -27,10 +27,9 @@ const SUMMARY_TEXT = {
   search: { en: "Search city or model", zh: "搜索城市或模型" },
   city: { en: "City", zh: "城市" },
   region: { en: "Region", zh: "区域" },
-  currentHigh: { en: "Current High", zh: "当前最高" },
+  localTime: { en: "Local Time", zh: "当地时间" },
   median: { en: "Median", zh: "模型中位数" },
   spread: { en: "Spread", zh: "分歧范围" },
-  updated: { en: "Updated", zh: "更新时间" },
   empty: { en: "No model summary rows match the current filters.", zh: "当前筛选下没有模型汇总数据。" },
   generated: { en: "Generated", zh: "生成" },
   total: { en: "rows", zh: "行" },
@@ -109,8 +108,8 @@ function ModelSummaryRowView({
       <td className="min-w-[150px] px-3 py-2 text-xs font-semibold text-slate-600">
         <span className="block truncate">{row.regionLabel}</span>
       </td>
-      <td className="min-w-[96px] px-3 py-2 text-right">
-        <TemperatureCell value={row.currentHigh} symbol={row.tempSymbol} />
+      <td className="min-w-[96px] px-3 py-2 text-right font-mono text-[11px] font-bold text-slate-700">
+        {row.localTime || "—"}
       </td>
       <td className="min-w-[90px] px-3 py-2 text-right">
         <TemperatureCell value={row.debPrediction} symbol={row.tempSymbol} emphasis="deb" />
@@ -126,9 +125,6 @@ function ModelSummaryRowView({
       <td className="min-w-[100px] px-3 py-2 text-right">
         <TemperatureCell value={row.modelSpread} symbol={row.tempSymbol} />
       </td>
-      <td className="min-w-[130px] px-3 py-2 text-right font-mono text-[11px] font-semibold text-slate-500">
-        {row.updatedAt || "—"}
-      </td>
     </tr>
   );
 }
@@ -198,14 +194,14 @@ export function ModelSummaryDashboard({
       </header>
 
       <div className="min-h-0 flex-1 overflow-auto">
-        <table className="w-full min-w-[1580px] border-collapse text-xs">
+        <table className="w-full min-w-[1460px] border-collapse text-xs">
           <thead className="sticky top-0 z-20 bg-slate-50 text-[10px] font-black uppercase tracking-wide text-slate-500 shadow-[0_1px_0_0_#e2e8f0]">
             <tr>
               <th className="sticky left-0 z-30 w-[160px] min-w-[160px] border-r border-slate-200 bg-slate-50 px-3 py-2 text-left">
                 {copy("city", isEn)}
               </th>
               <th className="min-w-[150px] px-3 py-2 text-left">{copy("region", isEn)}</th>
-              <th className="min-w-[96px] px-3 py-2 text-right">{copy("currentHigh", isEn)}</th>
+              <th className="min-w-[96px] px-3 py-2 text-right">{copy("localTime", isEn)}</th>
               <th className="min-w-[90px] px-3 py-2 text-right text-orange-600">DEB</th>
               {MODEL_SUMMARY_MODEL_COLUMNS.map((column) => (
                 <th key={column.key} className="min-w-[92px] px-3 py-2 text-right">
@@ -216,7 +212,6 @@ export function ModelSummaryDashboard({
                 {copy("median", isEn)}
               </th>
               <th className="min-w-[100px] px-3 py-2 text-right">{copy("spread", isEn)}</th>
-              <th className="min-w-[130px] px-3 py-2 text-right">{copy("updated", isEn)}</th>
             </tr>
           </thead>
           <tbody className="divide-y divide-slate-100 bg-white">

frontend/components/dashboard/scan-terminal/UpdateAnnouncementButton.tsx

@@ -24,20 +24,20 @@ const UPDATE_ANNOUNCEMENT_SEEN_KEY = "polyweather_update_announcement_seen_v1";
 
 const STATIC_UPDATE_ANNOUNCEMENTS: StaticUpdateAnnouncement[] = [
   {
-    id: "model-summary-table-2026-06-29",
-    publishedAt: "2026-06-29T19:20:00+08:00",
+    id: "model-summary-table-local-time-2026-06-29",
+    publishedAt: "2026-06-29T19:35:00+08:00",
     expiresAt: "2026-08-15T00:00:00+08:00",
     zh: {
       title: "更新公告：模型汇总表上线",
       body:
-        "终端左侧新增「模型汇总」菜单，按今日最高温口径汇总全部城市：当前最高、DEB 预测，以及 ECMWF、ECMWF AIFS、GFS、ICON、ICON-EU、GEM、GDPS、JMA、AROME HD、HRRR、NAM 等模型高温预测集中到一张表里。\n\n" +
+        "终端左侧新增「模型汇总」菜单，按今日最高温口径汇总全部城市：当地时间、DEB 预测，以及 ECMWF、ECMWF AIFS、GFS、ICON、ICON-EU、GEM、GDPS、JMA、AROME HD、HRRR、NAM 等模型高温预测集中到一张表里。\n\n" +
         "缺失模型会显示 —；模型中位数和分歧范围只基于已有模型值计算，方便快速发现 DEB 与多模型之间的偏离。\n\n" +
         "页面支持搜索城市或模型，并提供「仅 DEB」和「分歧较大」筛选。移动端可横向滚动，首列城市固定。刷新终端后即可使用。",
     },
     en: {
       title: "Update: Model Summary table is live",
       body:
-        "The left terminal navigation now includes Model Summary, a city-by-city table for today's high-temperature view: current high, DEB forecast, plus ECMWF, ECMWF AIFS, GFS, ICON, ICON-EU, GEM, GDPS, JMA, AROME HD, HRRR, and NAM model highs in one workspace.\n\n" +
+        "The left terminal navigation now includes Model Summary, a city-by-city table for today's high-temperature view: local time, DEB forecast, plus ECMWF, ECMWF AIFS, GFS, ICON, ICON-EU, GEM, GDPS, JMA, AROME HD, HRRR, and NAM model highs in one workspace.\n\n" +
         "Missing models render as —. Model median and spread are calculated only from available model values, making it easier to spot where DEB diverges from the model cluster.\n\n" +
         "The page supports city or model search, plus Only DEB and Large spread filters. Mobile keeps the city column sticky with horizontal table scrolling. Refresh the terminal to use it.",
     },

frontend/components/dashboard/scan-terminal/__tests__/modelSummaryDashboard.test.ts

@@ -50,6 +50,21 @@ export function runTests() {
         GFS: 38.2,
       },
     },
+    {
+      city: "amsterdam",
+      city_display_name: "Amsterdam",
+      trading_region_label: "West Asia / Middle East",
+      trading_region_label_zh: "西亚 / 中东",
+      trading_region_sort: 4,
+      temp_symbol: "°C",
+      current_max_so_far: 16,
+      deb_prediction: 17.1,
+      local_time: "12:11",
+      model_cluster_sources: {
+        ECMWF: 15.6,
+        GFS: 17.2,
+      },
+    },
   ] as any;
   const originalFirstModelSources = rows[0].model_cluster_sources;
   const summaryRows = buildModelSummaryRows(rows, false);
@@ -60,14 +75,17 @@ export function runTests() {
       MODEL_SUMMARY_MODEL_COLUMNS.map((column) => column.key).includes("NAM"),
     "model summary must expose the fixed model columns including optional short-range models",
   );
-  assert(summaryRows.length === 2, "model summary should keep one row per city");
-  assert(summaryRows[0].cityName === "Madrid", "model summary should sort by region then city name");
-  assert(summaryRows[1].cityName === "Paris", "model summary should sort by region then city name");
-  assert(summaryRows[1].debPrediction === 31.6, "model summary should preserve DEB prediction");
-  assert(summaryRows[1].models.GFS === 33.4, "model summary should preserve model high temperature");
-  assert(summaryRows[1].models.HRRR === null, "missing models should be normalized to null");
-  assert(summaryRows[1].modelMedian === 32.1, "model median should use available model values only");
-  assert(summaryRows[1].modelSpread === 2.5, "model spread should use available model min/max only");
+  assert(summaryRows.length === 3, "model summary should keep one row per city");
+  assert(summaryRows[0].cityName === "Amsterdam", "model summary should sort by resolved region then city name");
+  assert(summaryRows[1].cityName === "Madrid", "model summary should sort by resolved region then city name");
+  assert(summaryRows[2].cityName === "Paris", "model summary should sort by resolved region then city name");
+  assert(summaryRows[0].regionLabel === "欧洲 / 非洲", "model summary should override stale backend timezone regions for known European cities");
+  assert(summaryRows[0].localTime === "12:11", "model summary should expose local time in place of current high");
+  assert(summaryRows[2].debPrediction === 31.6, "model summary should preserve DEB prediction");
+  assert(summaryRows[2].models.GFS === 33.4, "model summary should preserve model high temperature");
+  assert(summaryRows[2].models.HRRR === null, "missing models should be normalized to null");
+  assert(summaryRows[2].modelMedian === 32.1, "model median should use available model values only");
+  assert(summaryRows[2].modelSpread === 2.5, "model spread should use available model min/max only");
   assert(formatModelSummaryTemp(null, "°C") === "—", "missing model temperatures should render as an em dash");
   assert(formatModelSummaryTemp(32.16, "°C") === "32.2°C", "model temperatures should render to one decimal");
 
@@ -112,6 +130,10 @@ export function runTests() {
   );
   assert(
     modelSummarySource.includes("MODEL_SUMMARY_MODEL_COLUMNS") &&
+      modelSummarySource.includes("Local Time") &&
+      modelSummarySource.includes("当地时间") &&
+      !modelSummarySource.includes("Current High") &&
+      !modelSummarySource.includes("当前最高") &&
       modelSummarySource.includes("Only DEB") &&
       modelSummarySource.includes("仅 DEB") &&
       modelSummarySource.includes("Large spread") &&

frontend/components/dashboard/scan-terminal/__tests__/updateAnnouncement.test.ts

@@ -72,6 +72,7 @@ export function runTests() {
   assert(
     componentSource.includes("模型汇总表上线") &&
       componentSource.includes("模型汇总") &&
+      componentSource.includes("当地时间") &&
       componentSource.includes("DEB") &&
       componentSource.includes("ECMWF") &&
       componentSource.includes("ECMWF AIFS") &&
@@ -90,6 +91,7 @@ export function runTests() {
   assert(
     componentSource.includes("Model Summary table is live") &&
       componentSource.includes("city-by-city table") &&
+      componentSource.includes("local time") &&
       componentSource.includes("DEB") &&
       componentSource.includes("ECMWF") &&
       componentSource.includes("ECMWF AIFS") &&

frontend/lib/model-summary.ts

@@ -1,4 +1,8 @@
 import type { ScanOpportunityRow } from "@/lib/dashboard-types";
+import {
+  REGIONS,
+  getCityRegion,
+} from "@/components/dashboard/scan-terminal/continent-grouping";
 
 export const MODEL_SUMMARY_MODEL_COLUMNS = [
   { key: "ECMWF", label: "ECMWF" },
@@ -23,12 +27,11 @@ export type ModelSummaryRow = {
   regionLabelZh: string;
   regionSort: number;
   tempSymbol: string;
-  currentHigh: number | null;
+  localTime: string;
   debPrediction: number | null;
   models: Record<ModelSummaryColumnKey, number | null>;
   modelMedian: number | null;
   modelSpread: number | null;
-  updatedAt: string;
   searchText: string;
 };
 
@@ -69,6 +72,38 @@ function normalizeCityKey(row: ScanOpportunityRow, index: number) {
   return String(rawKey).trim().toLowerCase();
 }
 
+function normalizeLocalTime(value: unknown) {
+  const text = String(value || "").trim();
+  if (!text) return "";
+  const match = text.match(/(\d{1,2}):(\d{2})/);
+  if (!match) return text;
+  return `${match[1].padStart(2, "0")}:${match[2]}`;
+}
+
+function resolveRegion(row: ScanOpportunityRow, isEn: boolean) {
+  const configuredRegionKey = getCityRegion(row);
+  const configuredRegion = configuredRegionKey
+    ? REGIONS.find((region) => region.key === configuredRegionKey)
+    : null;
+  if (configuredRegion) {
+    return {
+      label: isEn ? configuredRegion.labelEn : configuredRegion.labelZh,
+      labelEn: configuredRegion.labelEn,
+      labelZh: configuredRegion.labelZh,
+      sort: configuredRegion.sort,
+    };
+  }
+
+  const labelEn = row.trading_region_label || row.trading_region_label_zh || "—";
+  const labelZh = row.trading_region_label_zh || row.trading_region_label || "—";
+  return {
+    label: isEn ? labelEn : labelZh,
+    labelEn,
+    labelZh,
+    sort: finiteNumber(row.trading_region_sort) ?? 999,
+  };
+}
+
 export function formatModelSummaryTemp(value: number | null | undefined, symbol = "°C") {
   const numericValue = finiteNumber(value);
   if (numericValue == null) return "—";
@@ -86,9 +121,7 @@ export function buildModelSummaryRows(
     if (byCity.has(cityKey)) return;
 
     const cityName = row.city_display_name || row.display_name || row.city || "—";
-    const regionLabel = row.trading_region_label || row.trading_region_label_zh || "—";
-    const regionLabelZh = row.trading_region_label_zh || row.trading_region_label || "—";
-    const displayRegionLabel = isEn ? regionLabel : regionLabelZh;
+    const region = resolveRegion(row, isEn);
     const rawModelSources = row.model_cluster_sources || {};
     const models = MODEL_SUMMARY_MODEL_COLUMNS.reduce(
       (acc, column) => {
@@ -109,17 +142,16 @@ export function buildModelSummaryRows(
     byCity.set(cityKey, {
       cityKey,
       cityName,
-      regionLabel: displayRegionLabel,
-      regionLabelZh,
-      regionSort: finiteNumber(row.trading_region_sort) ?? 999,
+      regionLabel: region.label,
+      regionLabelZh: region.labelZh,
+      regionSort: region.sort,
       tempSymbol: row.temp_symbol || "°C",
-      currentHigh: finiteNumber(row.current_max_so_far),
+      localTime: normalizeLocalTime(row.local_time),
       debPrediction: finiteNumber(row.deb_prediction),
       models,
       modelMedian: median(modelValues),
       modelSpread: spread(modelValues),
-      updatedAt: row.local_time || row.local_date || row.selected_date || "",
-      searchText: `${cityName} ${row.city || ""} ${regionLabel} ${regionLabelZh} ${modelSearchText}`.toLowerCase(),
+      searchText: `${cityName} ${row.city || ""} ${region.labelEn} ${region.labelZh} ${modelSearchText}`.toLowerCase(),
     });
   });