CoWIN 6087 历史持久化 + 跑道曲线聚合 + 模型区间修复 + HKO 曲线对调 + 毛玻璃加载层

- weather_sources: CoWIN 1min 观测写入 official_intraday_observations_store
- country_networks: cowin_obs 源从 DB 回读 1min 历史，不复用 VHHH METAR
- analysis_service: 跑道实测 36h 历史按跑道分组，透传至前端
- scan_terminal_city_row: model_cluster_sources fallback 修复 + runway_plate_history
- 前端: CoWIN 6087 升级为主轴实线，HKO 退为虚线，VHHH METAR 轻虚线
- 前端: Loading 升级为毛玻璃全卡蒙层

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

@@ -367,31 +367,62 @@ function getObservationDisplayMetrics(
   const tzOffset = row?.tz_offset_seconds ?? 0;
   const settlementObs = normObs(hourly?.settlementTodayObs || row?.settlement_today_obs || row?.metar_context?.settlement_today_obs, tzOffset);
   const metarObs = normObs(hourly?.metarTodayObs || row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs, tzOffset);
+  const madisObs = normObs(hourly?.airportPrimaryTodayObs, tzOffset);
   const latestSettlement = latestObservationValue(settlementObs);
   const latestMetar = latestObservationValue(metarObs);
+  const latestMadis = latestObservationValue(madisObs);
   const highSettlement = maxObservationValue(settlementObs);
   const highMetar = maxObservationValue(metarObs);
+  const highMadis = maxObservationValue(madisObs);
   const airportCurrentTemp = validNumber(hourly?.airportCurrent?.temp) ?? validNumber(hourly?.airportPrimary?.temp);
   const airportHigh = validNumber(hourly?.airportCurrent?.max_so_far) ?? validNumber(hourly?.airportPrimary?.max_so_far);
   const rowMetarHigh = validNumber(row?.metar_context?.airport_max_so_far ?? row?.metar_context?.max_temp ?? row?.current_max_so_far);
 
-  const currentRunwayTemp =
+  const settlementCityKey = normalizeCityKey(row?.city);
-    validNumber(hourly?.amos?.temp_c) ??
+  const isShenzhen = settlementCityKey === 'shenzhen';
-    settlementPlate?.maxTemp ??
+  const isHKO = (settlementCityKey === 'hongkong' || settlementCityKey === 'laufaushan'
-    latestSettlement ??
+    || (row?.city || '').toLowerCase().includes('hong kong')
-    latestMetar ??
+    || (row?.city || '').toLowerCase().includes('lau fau shan')) && !isShenzhen;
-    airportCurrentTemp ??
+
-    validNumber(row?.current_temp) ??
+  let currentRunwayTemp: number | null = null;
-    null;
+  let observedHighRunway: number | null = null;
+
+  if (isHKO) {
+    currentRunwayTemp =
+      latestMadis ??
+      latestSettlement ??
+      latestMetar ??
+      airportCurrentTemp ??
+      validNumber(row?.current_temp) ??
+      null;
+    observedHighRunway =
+      highMadis ??
+      highSettlement ??
+      airportHigh ??
+      highMetar ??
+      validNumber(row?.current_max_so_far) ??
+      currentRunwayTemp ??
+      null;
+  } else {
+    currentRunwayTemp =
+      validNumber(hourly?.amos?.temp_c) ??
+      settlementPlate?.maxTemp ??
+      latestSettlement ??
+      latestMetar ??
+      airportCurrentTemp ??
+      validNumber(row?.current_temp) ??
+      null;
+    observedHighRunway =
+      settlementPlate?.maxTemp ??
+      highSettlement ??
+      airportHigh ??
+      highMetar ??
+      validNumber(row?.current_max_so_far) ??
+      currentRunwayTemp ??
+      null;
+  }
+
   const observedHighMetar = airportHigh ?? highSettlement ?? highMetar ?? rowMetarHigh ?? null;
-  const observedHighRunway =
-    settlementPlate?.maxTemp ??
-    highSettlement ??
-    airportHigh ??
-    highMetar ??
-    validNumber(row?.current_max_so_far) ??
-    currentRunwayTemp ??
-    null;
 
   return { currentRunwayTemp, observedHighMetar, observedHighRunway };
 }
@@ -845,6 +876,19 @@ function buildFullDayChartData(
   const madisObs = normObs(hourly?.airportPrimaryTodayObs, tzOffset);
   const runwayHistorySeries = buildRunwayHistorySeries(row, hourly, tzOffset, localDateStr);
 
+  const settlementCityKey = normalizeCityKey(row?.city);
+  const isShenzhen = settlementCityKey === 'shenzhen';
+  const isHKO = (settlementCityKey === 'hongkong' || settlementCityKey === 'laufaushan'
+    || (row?.city || '').toLowerCase().includes('hong kong')
+    || (row?.city || '').toLowerCase().includes('lau fau shan')) && !isShenzhen;
+
+  let finalSettlementObs = settlementObs;
+  let finalMadisObs = madisObs;
+  if (isHKO) {
+    finalSettlementObs = madisObs;
+    finalMadisObs = settlementObs;
+  }
+
   const slots = generateFullDaySlots(localDateStr);
   if (!slots.length) return { data: [], series: [] };
   const slotLabels = slots.map(formatTimestamp);
@@ -870,17 +914,16 @@ function buildFullDayChartData(
 
   // ── Settlement observations ──
   // Determine if this is an HKO-sourced city to force the label
-  const settlementCityKey = normalizeCityKey(row?.city);
   const isHKOCity = settlementCityKey === 'hongkong' || settlementCityKey === 'laufaushan'
     || settlementCityKey === 'shenzhen' || (row?.city || '').toLowerCase().includes('hong kong')
     || (row?.city || '').toLowerCase().includes('lau fau shan');
-  if (settlementObs.length) {
+  if (finalSettlementObs.length) {
-    const svals = binObservationsToSlots(slots, settlementObs);
+    const svals = binObservationsToSlots(slots, finalSettlementObs);
     if (svals.some((v) => v !== null)) {
       series.push({
         key: "settlement",
-        label: isHKOCity ? "HKO" : (row?.metar_context?.station_label || row?.metar_context?.station || "Settlement"),
+        label: isHKO ? "CoWIN 6087" : (isHKOCity ? "HKO" : (row?.metar_context?.station_label || row?.metar_context?.station || "Settlement")),
-        source: row?.metar_context?.station || row?.airport || "Settlement",
+        source: isHKO ? "cowin_obs" : (row?.metar_context?.station || row?.airport || "Settlement"),
         color: "#009688",
         featured: true,
         values: svals,
@@ -894,26 +937,26 @@ function buildFullDayChartData(
   const isAmscSource =
     (hourly?.airportPrimary as any)?.source === "amsc_awos" ||
     String(hourly?.airportPrimary?.source_label || "").toLowerCase().includes("amsc");
-  if (madisObs.length && !isAmscSource) {
+  if (finalMadisObs.length && !isAmscSource) {
-    const madisVals = binObservationsToSlots(slots, madisObs);
+    const madisVals = binObservationsToSlots(slots, finalMadisObs);
     if (madisVals.some((v) => v !== null)) {
       series.push({
         key: "madis",
-        label: hourly?.airportPrimary?.source_label || "NOAA MADIS",
+        label: isHKO ? "HKO" : (hourly?.airportPrimary?.source_label || "NOAA MADIS"),
-        source: hourly?.airportPrimary?.station_code || row?.airport || "MADIS",
+        source: isHKO ? "HKO" : (hourly?.airportPrimary?.station_code || row?.airport || "MADIS"),
         color: "#0284c7",
-        dashed: false,
+        dashed: isHKO ? true : false,
         values: madisVals,
       });
     }
   }
 
-  if (metarObs.length && !observationSetContains(madisObs, metarObs)) {
+  if (metarObs.length && !observationSetContains(finalMadisObs, metarObs)) {
     const mvals = binObservationsToSlots(slots, metarObs);
     if (mvals.some((v) => v !== null)) {
       series.push({
         key: "metar",
-        label: isHKOCity ? "HKO" : (row?.metar_context?.station_label || "METAR"),
+        label: isHKO ? "VHHH METAR" : (isHKOCity ? "HKO" : (row?.metar_context?.station_label || "METAR")),
         source: row?.airport || "METAR",
         color: "#0ea5e9",
         dashed: true,
@@ -1416,13 +1459,15 @@ export function LiveTemperatureThresholdChart({
   );
 
   return (
-    <Panel title={panelTitle} actions={timeframeActions}>
+    <Panel title={panelTitle} actions={timeframeActions} className="relative">
       {isFetching && (
-        <LoadingSignal
+        <div className="absolute inset-0 z-50 flex items-center justify-center bg-white/70 backdrop-blur-sm dark:bg-slate-950/70 rounded-[4px]">
-          title={isEn ? "Loading city data..." : "加载城市数据中..."}
+          <LoadingSignal
-          description={isEn ? `Fetching latest observations for ${row?.city_display_name || row?.city || "this city"}` : `正在获取 ${row?.city_display_name || row?.city || "该城市"} 的最新观测数据`}
+            title={isEn ? "Loading city data..." : "加载城市数据中..."}
-          compact={compact}
+            description={isEn ? `Fetching latest observations for ${row?.city_display_name || row?.city || "this city"}` : `正在获取 ${row?.city_display_name || row?.city || "该城市"} 的最新观测数据`}
-        />
+            compact={compact}
+          />
+        </div>
       )}
       <div className="flex h-full min-h-[300px] flex-col">
         {/* Compact stats bar */}

src/data_collection/country_networks.py

@@ -1201,12 +1201,29 @@ def build_country_network_snapshot(city: str, raw: Dict[str, Any]) -> Dict[str,
         "stale_row_count": stale_count,
         "unknown_timing_count": unknown_count,
     }
+    airport_primary_today_obs = ((raw.get("metar") or {}).get("today_obs") or [])
+    if airport_primary.get("source_code") == "cowin_obs":
+        try:
+            from src.database.runtime_state import OfficialIntradayObservationRepository
+            repo = OfficialIntradayObservationRepository()
+            local_now = datetime.now(timezone.utc) + timedelta(seconds=city_offset or 0)
+            local_date_str = local_now.strftime("%Y-%m-%d")
+            points = repo.load_points(
+                source_code="cowin_obs",
+                station_code=airport_primary.get("station_code") or "6087",
+                target_date=local_date_str,
+            )
+            if points:
+                airport_primary_today_obs = [{"time": p["time"], "temp": p["temp"]} for p in points]
+        except Exception:
+            pass
+
     return {
         "provider_code": provider.provider_code,
         "provider_label": provider.provider_label,
         "settlement_station": metadata,
         "airport_primary_current": airport_primary,
-        "airport_primary_today_obs": ((raw.get("metar") or {}).get("today_obs") or []),
+        "airport_primary_today_obs": airport_primary_today_obs,
         "official_nearby": official_nearby,
         "official_network_source": status.get("provider_code"),
         "official_network_status": status,

src/data_collection/weather_sources.py

@@ -1141,14 +1141,26 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
         results["nearby_source"] = "cowin_obs"
         try:
             row = rows[0] if rows else {}
+            temp_c = row.get("temp")
+            if use_fahrenheit and temp_c is not None:
+                temp_c = round((temp_c - 32.0) * 5.0 / 9.0, 1)
+            
             DBManager().append_airport_obs(
                 icao=str(row.get("icao") or "COWIN6087"),
                 city=city_lower,
-                temp_c=row.get("temp"),
+                temp_c=temp_c,
                 obs_time=str(row.get("obs_time") or datetime.now().isoformat()),
             )
+            
+            self._update_official_today_obs(
+                source_code="cowin_obs",
+                station_code=str(row.get("istNo") or "6087"),
+                obs_iso=str(row.get("obs_time") or datetime.now(timezone.utc).isoformat()),
+                current_temp=temp_c,
+                utc_offset_seconds=28800,
+            )
         except Exception:
-            logger.exception("airport_obs_log append failed for cowin_obs city={}", city_lower)
+            logger.exception("airport_obs_log append/update failed for cowin_obs city={}", city_lower)
 
     def _attach_cwa_settlement_nearby(
         self, results: Dict, city_lower: str, use_fahrenheit: bool

web/analysis_service.py

@@ -1532,8 +1532,42 @@ def _analyze(
             }
 
     # ── Assemble result ──
+    runway_plate_history = {}
+    icao = risk.get("icao", "")
+    if icao:
+        try:
+            from src.database.db_manager import DBManager
+            raw_runway_obs = DBManager().get_runway_obs_recent(icao, minutes=36 * 60)
+            for r in raw_runway_obs:
+                rw = r.get("runway")
+                if not rw:
+                    continue
+                temp_val = r.get("target_runway_max")
+                if temp_val is None:
+                    temp_val = r.get("tdz_temp")
+                if temp_val is not None:
+                    temp_val = float(temp_val)
+                    if is_f:
+                        temp_val = round(temp_val * 9.0 / 5.0 + 32.0, 1)
+                    else:
+                        temp_val = round(temp_val, 1)
+                
+                time_val = r.get("otime_utc") or r.get("created_at")
+                if not time_val:
+                    continue
+                
+                if rw not in runway_plate_history:
+                    runway_plate_history[rw] = []
+                runway_plate_history[rw].append({
+                    "time": time_val,
+                    "temp": temp_val
+                })
+        except Exception:
+            logger.exception("Failed to fetch runway plate history for icao={}", icao)
+
     city_meta = CITIES.get(city, {}) or {}
     result = {
+        "runway_plate_history": runway_plate_history,
         "detail_depth": (
             "panel"
             if is_panel_mode

web/scan_terminal_city_row.py

@@ -114,7 +114,7 @@ def _build_terminal_row(
         "distribution_bias": scan.get("distribution_bias"),
         "distribution_preview": scan.get("distribution_preview") or row.get("distribution_preview") or [],
         "distribution_full": scan.get("distribution_full") or scan.get("distribution_preview") or row.get("distribution_preview") or [],
-        "model_cluster_sources": daily_entry.get("models") if isinstance(daily_entry.get("models"), dict) else data.get("multi_model"),
+        "model_cluster_sources": daily_entry.get("models") if isinstance(daily_entry.get("models"), dict) else data.get("multi_model", {}).get("forecasts"),
         "window_phase": row.get("window_phase") or scan.get("window_phase"),
         "window_score": row.get("window_score") if row.get("window_score") is not None else scan.get("window_score"),
         "signal_status": scan.get("signal_status"),
@@ -129,6 +129,7 @@ def _build_terminal_row(
         "amos": data.get("amos") or None,
         "top_buckets": scan.get("top_buckets") or [],
         "all_buckets": scan.get("all_buckets") or [],
+        "runway_plate_history": data.get("runway_plate_history") or {},
     }
 
 
@@ -215,6 +216,7 @@ def _build_quick_row(
         "is_primary_signal": True,
         "accepting_orders": False,
         "row_id": row_id,
+        "runway_plate_history": data.get("runway_plate_history") or {},
     }
     # Compute a simple edge: model top probability vs neutral
     best_model_prob = max(

web/services/city_payloads.py

@@ -125,6 +125,7 @@ def build_city_detail_payload(
         or _build_intraday_meteorology(data),
         "vertical_profile_signal": data.get("vertical_profile_signal") or {},
         "taf": data.get("taf") or {},
+        "runway_plate_history": data.get("runway_plate_history") or {},
 
         "risk": data.get("risk"),
         "settlement_station": data.get("settlement_station") or {},