Expose station network coverage and settlement station details

2026-04-06 07:21:59 +08:00
parent e4a5c4c8d5
commit bdc300bdd2
15 changed files with 1317 additions and 33 deletions
@@ -1014,34 +1014,56 @@ export function FutureForecastModal() {
      ? "Settlement station"
      : "结算站点"
    : t("section.airport");
+  const settlementStationLabel =
+    detail.settlement_station?.settlement_station_label ||
+    detail.current?.station_name ||
+    risk.airport ||
+    noaaStationName;
+  const settlementStationCode =
+    detail.settlement_station?.settlement_station_code ||
+    detail.current?.station_code ||
+    risk.icao ||
+    noaaStationCode;
  const settlementProfileValue =
-    settlementSourceCode === "noaa"
-      ? locale === "en-US"
-        ? `${noaaStationName}${noaaStationCode ? ` (${noaaStationCode})` : ""}`
-        : `${noaaStationName}${noaaStationCode ? `（${noaaStationCode}）` : ""}`
-      : detail.current?.station_name
-        ? `${detail.current.station_name}${
-            detail.current?.station_code ? ` (${detail.current.station_code})` : ""
-          }`
-        : risk.airport
-          ? `${risk.airport}${risk.icao ? ` (${risk.icao})` : ""}`
-          : "--";
+    settlementStationLabel
+      ? `${settlementStationLabel}${settlementStationCode ? ` (${settlementStationCode})` : ""}`
+      : "--";
+  const airportPrimary = detail.airport_primary || detail.airport_current;
  const airportCurrentText =
-    detail.airport_current?.temp != null
-      ? `${detail.airport_current.temp}${detail.temp_symbol}${
-          detail.airport_current?.obs_time
-            ? ` @${detail.airport_current.obs_time}`
+    airportPrimary?.temp != null
+      ? `${airportPrimary.temp}${detail.temp_symbol}${
+          airportPrimary?.obs_time
+            ? ` @${airportPrimary.obs_time}`
            : ""
        }`
      : "--";
  const airportMaxText =
-    detail.airport_current?.max_so_far != null
-      ? `${detail.airport_current.max_so_far}${detail.temp_symbol}${
-          detail.airport_current?.max_temp_time
-            ? ` @${detail.airport_current.max_temp_time}`
+    airportPrimary?.max_so_far != null
+      ? `${airportPrimary.max_so_far}${detail.temp_symbol}${
+          airportPrimary?.max_temp_time
+            ? ` @${airportPrimary.max_temp_time}`
            : ""
        }`
      : "--";
+  const officialNearbyCount = Array.isArray(detail.official_nearby)
+    ? detail.official_nearby.length
+    : Array.isArray(detail.mgm_nearby)
+      ? detail.mgm_nearby.length
+      : 0;
+  const officialNetworkSourceText =
+    detail.official_network_status?.provider_label ||
+    detail.official_network_source ||
+    "--";
+  const officialNetworkStatusText =
+    detail.official_network_status?.mode ||
+    "--";
+  const airportVsNetworkDeltaText =
+    detail.airport_vs_network_delta != null &&
+    Number.isFinite(Number(detail.airport_vs_network_delta))
+      ? `${Number(detail.airport_vs_network_delta) > 0 ? "+" : ""}${Number(
+          detail.airport_vs_network_delta,
+        ).toFixed(1)}${detail.temp_symbol}`
+      : "--";
  const displayedUpperAirSummary =
    marketAwareUpperAirCue?.summary || view.front.upperAirSummary;
  const displayedUpperAirMetrics = (view.front.upperAirMetrics || []).map(
@@ -1390,6 +1412,40 @@ export function FutureForecastModal() {
                                </span>
                                <span>{settlementProfileValue}</span>
                              </div>
+                              <div className="risk-row">
+                                <span className="risk-label">
+                                  {locale === "en-US" ? "Airport primary" : "机场主站"}
+                                </span>
+                                <span>{airportCurrentText}</span>
+                              </div>
+                              <div className="risk-row">
+                                <span className="risk-label">
+                                  {locale === "en-US" ? "Airport max today" : "机场今日最高"}
+                                </span>
+                                <span>{airportMaxText}</span>
+                              </div>
+                              <div className="risk-row">
+                                <span className="risk-label">
+                                  {locale === "en-US" ? "Official nearby" : "官方周边站"}
+                                </span>
+                                <span>
+                                  {officialNearbyCount} · {officialNetworkSourceText}
+                                </span>
+                              </div>
+                              <div className="risk-row">
+                                <span className="risk-label">
+                                  {locale === "en-US" ? "Network mode" : "站网模式"}
+                                </span>
+                                <span>{officialNetworkStatusText}</span>
+                              </div>
+                              <div className="risk-row">
+                                <span className="risk-label">
+                                  {locale === "en-US"
+                                    ? "Airport vs network"
+                                    : "机场相对站网偏差"}
+                                </span>
+                                <span>{airportVsNetworkDeltaText}</span>
+                              </div>
                              <div className="risk-row">
                                <span className="risk-label">
                                  {t("section.distance")}
@@ -122,6 +122,17 @@ type SystemStatusPayload = {
      lgbm_validation_deb_mae?: number | null;
    };
  };
+  station_networks?: {
+    airport_anchor_coverage?: number;
+    official_station_anchor_coverage?: number;
+    providers?: Record<
+      string,
+      {
+        cities?: string[];
+        cities_count?: number;
+      }
+    >;
+  };
 };

 type PaymentRuntimePayload = {
@@ -421,7 +432,19 @@ export function OpsDashboard() {
  const cityCoverage = trainingData?.city_coverage;
  const modelCityCoverage = trainingData?.model_city_coverage;
  const trainingArtifacts = trainingData?.artifacts;
+  const stationNetworks = status?.station_networks;
  const truthSources = Object.entries(truthRecords?.source_counts || {});
+  const providerRows = useMemo(
+    () =>
+      Object.entries(stationNetworks?.providers || {})
+        .map(([code, value]) => ({
+          code,
+          cities: value?.cities || [],
+          citiesCount: value?.cities_count ?? 0,
+        }))
+        .sort((a, b) => b.citiesCount - a.citiesCount || a.code.localeCompare(b.code)),
+    [stationNetworks?.providers],
+  );
  const cityCoverageRows = useMemo(() => {
    const modelIndex = new Map(
      [...(modelCityCoverage?.strongest || []), ...(modelCityCoverage?.weakest || [])].map((entry) => [entry.city, entry]),
@@ -561,6 +584,7 @@ export function OpsDashboard() {

  const opsNav = [
    { id: "overview", label: "总览" },
+    { id: "station-networks", label: "站网覆盖" },
    { id: "funnel", label: "转化漏斗" },
    { id: "probability", label: "EMOS 门禁" },
    { id: "training-data", label: "训练数据" },
@@ -660,6 +684,68 @@ export function OpsDashboard() {
            </div>
        </section>

+        <section
+          id="station-networks"
+          className="grid gap-4 xl:grid-cols-[1.1fr_1.4fr]"
+        >
+          <Card>
+            <CardHeader>
+              <CardTitle>站网协议覆盖</CardTitle>
+              <CardDescription>
+                统一查看机场锚点覆盖、官方站锚点覆盖，以及新的国家 provider 分布。
+              </CardDescription>
+            </CardHeader>
+            <CardContent className="space-y-3 text-sm text-slate-300">
+              <div className="flex justify-between gap-3">
+                <span>机场锚点覆盖</span>
+                <span>{stationNetworks?.airport_anchor_coverage ?? 0}</span>
+              </div>
+              <div className="flex justify-between gap-3">
+                <span>官方站锚点覆盖</span>
+                <span>{stationNetworks?.official_station_anchor_coverage ?? 0}</span>
+              </div>
+              <div className="flex justify-between gap-3">
+                <span>国家 provider 数</span>
+                <span>{providerRows.length}</span>
+              </div>
+              <div className="rounded-2xl border border-slate-800 bg-slate-950/60 p-3 text-xs text-slate-400">
+                规则固定为“机场主站 + 官方增强 + 模型层”。官方站网只做增强，除明确官方结算站外不会替代机场锚点。
+              </div>
+            </CardContent>
+          </Card>
+
+          <Card>
+            <CardHeader>
+              <CardTitle>国家 Provider 分布</CardTitle>
+              <CardDescription>
+                这些 provider 已进入统一协议层，业务侧不再直接按国家写分支。
+              </CardDescription>
+            </CardHeader>
+            <CardContent className="space-y-3">
+              {providerRows.length === 0 ? (
+                <div className="rounded-2xl border border-dashed border-slate-800 p-4 text-sm text-slate-500">
+                  暂无站网 provider 数据。
+                </div>
+              ) : (
+                providerRows.map((provider) => (
+                  <div
+                    key={provider.code}
+                    className="rounded-2xl border border-slate-800 bg-slate-950/60 p-3"
+                  >
+                    <div className="flex items-center justify-between gap-3">
+                      <div className="text-sm font-semibold text-slate-100">{provider.code}</div>
+                      <Badge variant="secondary">{provider.citiesCount} 城</Badge>
+                    </div>
+                    <div className="mt-2 text-xs leading-6 text-slate-400">
+                      {provider.cities.length > 0 ? provider.cities.join(", ") : "无城市"}
+                    </div>
+                  </div>
+                ))
+              )}
+            </CardContent>
+          </Card>
+        </section>
+
        {error ? (
          <Card className="border-rose-500/30 bg-rose-500/10">
            <CardHeader>
@@ -312,10 +312,20 @@ const CITY_SPECIFIC_SOURCES: Record<string, OfficialSourceLink[]> = {
  ],
  shanghai: [
    {
-      label: "中国天气网",
-      href: "https://www.weather.com.cn/",
+      label: "NMC 全国主要机场天气预报",
+      href: "https://www.nmc.cn/publish/weather_forecast/swssr.htm",
      kind: "agency",
    },
+    {
+      label: "NMC 浦东天气",
+      href: "https://m.nmc.cn/publish/forecast/ASH/pudong.html",
+      kind: "agency",
+    },
+    {
+      label: "上海浦东国际机场",
+      href: "https://www.shanghai-airport.com/",
+      kind: "airport",
+    },
    {
      label: "ZSPD METAR",
      href: "https://aviationweather.gov/data/metar/?id=ZSPD&decoded=1&taf=1",
@@ -504,10 +514,20 @@ const CITY_SPECIFIC_SOURCES: Record<string, OfficialSourceLink[]> = {
  ],
  chengdu: [
    {
-      label: "中国天气网",
-      href: "https://www.weather.com.cn/",
+      label: "NMC 全国主要机场天气预报",
+      href: "https://www.nmc.cn/publish/weather_forecast/swssr.htm",
      kind: "agency",
    },
+    {
+      label: "NMC 双流天气",
+      href: "https://m.nmc.cn/publish/forecast/ASC/shuangliu.html",
+      kind: "agency",
+    },
+    {
+      label: "成都双流国际机场",
+      href: "https://www.cdairport.com/",
+      kind: "airport",
+    },
    {
      label: "ZUUU METAR",
      href: "https://aviationweather.gov/data/metar/?id=ZUUU&decoded=1&taf=1",
@@ -516,10 +536,20 @@ const CITY_SPECIFIC_SOURCES: Record<string, OfficialSourceLink[]> = {
  ],
  chongqing: [
    {
-      label: "中国天气网",
-      href: "https://www.weather.com.cn/",
+      label: "NMC 全国主要机场天气预报",
+      href: "https://www.nmc.cn/publish/weather_forecast/swssr.htm",
      kind: "agency",
    },
+    {
+      label: "NMC 渝北天气",
+      href: "https://m.nmc.cn/publish/forecast/ACQ/yubei.html",
+      kind: "agency",
+    },
+    {
+      label: "重庆江北国际机场",
+      href: "https://www.cqa.cn/",
+      kind: "airport",
+    },
    {
      label: "ZUCK METAR",
      href: "https://aviationweather.gov/data/metar/?id=ZUCK&decoded=1&taf=1",
@@ -528,8 +558,13 @@ const CITY_SPECIFIC_SOURCES: Record<string, OfficialSourceLink[]> = {
  ],
  shenzhen: [
    {
-      label: "Wunderground ZGSZ",
-      href: "https://www.wunderground.com/history/daily/cn/shenzhen/ZGSZ",
+      label: "NMC 全国主要机场天气预报",
+      href: "https://www.nmc.cn/publish/weather_forecast/swssr.htm",
+      kind: "agency",
+    },
+    {
+      label: "NMC 深圳天气",
+      href: "https://m.nmc.cn/publish/forecast/AGD/shenzhen.html",
      kind: "agency",
    },
    {
@@ -630,10 +665,20 @@ const CITY_SPECIFIC_SOURCES: Record<string, OfficialSourceLink[]> = {
  ],
  beijing: [
    {
-      label: "中国天气网",
-      href: "https://www.weather.com.cn/",
+      label: "NMC 全国主要机场天气预报",
+      href: "https://www.nmc.cn/publish/weather_forecast/swssr.htm",
      kind: "agency",
    },
+    {
+      label: "NMC 顺义天气",
+      href: "https://m.nmc.cn/publish/forecast/ABJ/shunyi.html",
+      kind: "agency",
+    },
+    {
+      label: "北京首都国际机场",
+      href: "https://www.bcia.com.cn/",
+      kind: "airport",
+    },
    {
      label: "ZBAA METAR",
      href: "https://aviationweather.gov/data/metar/?id=ZBAA&decoded=1&taf=1",
@@ -642,10 +687,20 @@ const CITY_SPECIFIC_SOURCES: Record<string, OfficialSourceLink[]> = {
  ],
  wuhan: [
    {
-      label: "中国天气网",
-      href: "https://www.weather.com.cn/",
+      label: "NMC 全国主要机场天气预报",
+      href: "https://www.nmc.cn/publish/weather_forecast/swssr.htm",
      kind: "agency",
    },
+    {
+      label: "NMC 武汉天气",
+      href: "https://m.nmc.cn/publish/forecast/AHB/wuhan.html",
+      kind: "agency",
+    },
+    {
+      label: "武汉天河国际机场",
+      href: "https://www.whairport.com/",
+      kind: "airport",
+    },
    {
      label: "ZHHH METAR",
      href: "https://aviationweather.gov/data/metar/?id=ZHHH&decoded=1&taf=1",
@@ -18,6 +18,10 @@ export interface CityListItem {
  is_major?: boolean;
  settlement_source?: string;
  settlement_source_label?: string;
+  settlement_station_code?: string;
+  settlement_station_label?: string;
+  network_provider?: string;
+  network_provider_label?: string;
 }

 export interface ProbabilityBucket {
@@ -90,17 +94,29 @@ export interface AirportCurrentConditions {
  wx_desc?: string | null;
  raw_metar?: string | null;
  source_label?: string | null;
+  station_code?: string | null;
+  station_label?: string | null;
+  is_airport_station?: boolean;
+  is_official?: boolean;
+  is_settlement_anchor?: boolean;
 }

 export interface NearbyStation {
  name?: string;
  icao?: string;
+  station_code?: string | null;
+  station_label?: string | null;
  lat: number;
  lon: number;
  temp: number | null;
  wind_dir?: number | null;
  wind_speed?: number | null;
  wind_speed_kt?: number | null;
+  source_code?: string | null;
+  source_label?: string | null;
+  is_official?: boolean;
+  is_airport_station?: boolean;
+  is_settlement_anchor?: boolean;
 }

 export interface HourlyTrendPoint {
@@ -316,10 +332,49 @@ export interface CityDetail {
  local_date: string;
  risk: DashboardRisk;
  current: CurrentConditions;
+  settlement_station?: {
+    provider_code?: string | null;
+    settlement_source?: string | null;
+    settlement_station_code?: string | null;
+    settlement_station_label?: string | null;
+    airport_code?: string | null;
+    airport_name?: string | null;
+    is_airport_anchor?: boolean;
+    is_official_station_anchor?: boolean;
+  };
  airport_current?: AirportCurrentConditions;
+  airport_primary?: AirportCurrentConditions;
+  airport_primary_today_obs?: Array<{
+    time?: string;
+    temp?: number | null;
+  }>;
  mgm?: MgmData;
  mgm_nearby?: NearbyStation[];
+  official_nearby?: NearbyStation[];
  nearby_source?: string;
+  official_network_source?: string;
+  official_network_status?: {
+    provider_code?: string | null;
+    provider_label?: string | null;
+    available?: boolean;
+    mode?: string | null;
+    row_count?: number | null;
+  };
+  network_lead_signal?: {
+    available?: boolean;
+    delta?: number | null;
+    leader_station_code?: string | null;
+    leader_station_label?: string | null;
+    leader_temp?: number | null;
+  };
+  network_spread_signal?: {
+    available?: boolean;
+    spread?: number | null;
+    hottest_station_code?: string | null;
+    coolest_station_code?: string | null;
+  };
+  center_station_candidate?: NearbyStation | null;
+  airport_vs_network_delta?: number | null;
  forecast?: ForecastData;
  multi_model?: Record<string, number | null>;
  deb?: DebForecast;
@@ -419,6 +474,12 @@ export interface HistoryPoint {
  mu?: number | null;
  mgm?: number | null;
  forecasts?: Record<string, number | null>;
+  settlement_source?: string | null;
+  settlement_station_code?: string | null;
+  settlement_station_label?: string | null;
+  truth_version?: string | null;
+  updated_by?: string | null;
+  truth_updated_at?: number | null;
  actual_peak_time?: string | null;
  deb_at_peak_minus_12h?: number | null;
  deb_at_peak_minus_12h_time?: string | null;
@@ -828,7 +828,11 @@ function distanceKm(
 }

 export function pickMapNearbyStations(detail: CityDetail) {
-  const stations = Array.isArray(detail.mgm_nearby) ? detail.mgm_nearby : [];
+  const stations = Array.isArray(detail.official_nearby)
+    ? detail.official_nearby
+    : Array.isArray(detail.mgm_nearby)
+      ? detail.mgm_nearby
+      : [];
  const city = String(detail.name || detail.display_name || "")
    .trim()
    .toLowerCase();
@@ -328,6 +328,16 @@ export interface CityDetail {
    local_date: string;
    temp_symbol: string;
    current_temp: number | null;
+    settlement_station?: {
+      provider_code?: string | null;
+      settlement_source?: string | null;
+      settlement_station_code?: string | null;
+      settlement_station_label?: string | null;
+      airport_code?: string | null;
+      airport_name?: string | null;
+      is_airport_anchor?: boolean;
+      is_official_station_anchor?: boolean;
+    };
    deb_prediction: number | null;
    risk_level: string;
    risk_warning: string;
@@ -340,6 +350,15 @@ export interface CityDetail {
    mgm: any;
    mgm_nearby: any[];
    nearby_source?: string;
+    airport_primary?: any;
+    airport_primary_today_obs?: any[];
+    official_nearby?: any[];
+    official_network_source?: string;
+    official_network_status?: any;
+    network_lead_signal?: any;
+    network_spread_signal?: any;
+    center_station_candidate?: any;
+    airport_vs_network_delta?: number | null;
  };
  timeseries: {
    metar_recent_obs: any[];
@@ -356,6 +375,15 @@ export interface CityDetail {
  };
  market_scan: MarketScan;
  risk: any;
+  settlement_station?: any;
+  airport_primary?: any;
+  official_nearby?: any[];
+  official_network_source?: string;
+  official_network_status?: any;
+  network_lead_signal?: any;
+  network_spread_signal?: any;
+  center_station_candidate?: any;
+  airport_vs_network_delta?: number | null;
  ai_analysis: string;
  errors: Record<string, string>;
 }
@@ -0,0 +1,472 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any, Dict, List, Optional
+
+from src.data_collection.city_registry import CITY_REGISTRY
+
+
+CHINA_CMA_CITIES = {
+    "beijing",
+    "chengdu",
+    "chongqing",
+    "shanghai",
+    "shenzhen",
+    "wuhan",
+}
+
+
+def _safe_float(value: Any) -> Optional[float]:
+    try:
+        if value is None or value == "":
+            return None
+        return float(value)
+    except Exception:
+        return None
+
+
+def _city_meta(city: str) -> Dict[str, Any]:
+    return CITY_REGISTRY.get(str(city or "").strip().lower(), {}) or {}
+
+
+def _provider_code_for_city(city: str) -> str:
+    normalized = str(city or "").strip().lower()
+    meta = _city_meta(normalized)
+    settlement_source = str(meta.get("settlement_source") or "").strip().lower()
+    if normalized in {"ankara", "istanbul"}:
+        return "turkey_mgm"
+    if settlement_source == "hko":
+        return "hongkong_hko"
+    if settlement_source == "cwa":
+        return "taiwan_cwa"
+    if normalized in CHINA_CMA_CITIES:
+        return "china_cma"
+    return "global_metar"
+
+
+def _bool(value: Any) -> bool:
+    return bool(value)
+
+
+def _normalize_station_row(
+    *,
+    station_code: Optional[str],
+    station_label: Optional[str],
+    temp: Any,
+    lat: Any = None,
+    lon: Any = None,
+    obs_time: Optional[str] = None,
+    source_code: str,
+    source_label: str,
+    is_official: bool,
+    is_airport_station: bool,
+    is_settlement_anchor: bool,
+    extra: Optional[Dict[str, Any]] = None,
+) -> Dict[str, Any]:
+    payload = {
+        "station_code": str(station_code or "").strip() or None,
+        "station_label": str(station_label or "").strip() or None,
+        "is_airport_station": bool(is_airport_station),
+        "lat": _safe_float(lat),
+        "lon": _safe_float(lon),
+        "obs_time": str(obs_time or "").strip() or None,
+        "temp": _safe_float(temp),
+        "source_code": str(source_code or "").strip().lower() or None,
+        "source_label": str(source_label or "").strip() or None,
+        "is_official": bool(is_official),
+        "is_settlement_anchor": bool(is_settlement_anchor),
+    }
+    if isinstance(extra, dict):
+        for key, value in extra.items():
+            if key not in payload:
+                payload[key] = value
+    return payload
+
+
+def _airport_primary_from_raw(city: str, raw: Dict[str, Any]) -> Dict[str, Any]:
+    meta = _city_meta(city)
+    metar = raw.get("metar") or {}
+    current = metar.get("current") or {}
+    return _normalize_station_row(
+        station_code=meta.get("icao") or metar.get("icao"),
+        station_label=meta.get("airport_name") or metar.get("station_name") or metar.get("icao"),
+        temp=current.get("temp"),
+        obs_time=metar.get("observation_time"),
+        source_code="metar",
+        source_label="METAR",
+        is_official=True,
+        is_airport_station=True,
+        is_settlement_anchor=False,
+        extra={
+            "max_so_far": _safe_float(current.get("max_temp_so_far")),
+            "max_temp_time": current.get("max_temp_time"),
+            "obs_age_min": None,
+            "report_time": metar.get("report_time"),
+            "receipt_time": metar.get("receipt_time"),
+            "obs_time_epoch": metar.get("obs_time_epoch"),
+            "wind_speed_kt": _safe_float(current.get("wind_speed_kt")),
+            "wind_dir": _safe_float(current.get("wind_dir")),
+            "humidity": _safe_float(current.get("humidity")),
+            "visibility_mi": _safe_float(current.get("visibility_mi")),
+            "wx_desc": current.get("wx_desc"),
+            "raw_metar": current.get("raw_metar"),
+        },
+    )
+
+
+def _metar_cluster_rows(raw: Dict[str, Any]) -> List[Dict[str, Any]]:
+    rows = raw.get("mgm_nearby") or []
+    out: List[Dict[str, Any]] = []
+    for row in rows:
+        if not isinstance(row, dict):
+            continue
+        out.append(
+            _normalize_station_row(
+                station_code=row.get("icao") or row.get("istNo"),
+                station_label=row.get("name"),
+                temp=row.get("temp"),
+                lat=row.get("lat"),
+                lon=row.get("lon"),
+                source_code="metar_cluster",
+                source_label="METAR cluster",
+                is_official=False,
+                is_airport_station=True,
+                is_settlement_anchor=False,
+                extra={
+                    "wind_dir": _safe_float(row.get("wind_dir")),
+                    "wind_speed_kt": _safe_float(row.get("wind_speed_kt") or row.get("wind_speed")),
+                    "raw_metar": row.get("raw_metar"),
+                },
+            )
+        )
+    return out
+
+
+def _nmc_rows(raw: Dict[str, Any], city: str) -> List[Dict[str, Any]]:
+    rows = raw.get("nmc_official_nearby") or []
+    out: List[Dict[str, Any]] = []
+    for row in rows:
+        if not isinstance(row, dict):
+            continue
+        out.append(
+            _normalize_station_row(
+                station_code=row.get("icao") or row.get("istNo"),
+                station_label=row.get("name"),
+                temp=row.get("temp"),
+                lat=row.get("lat"),
+                lon=row.get("lon"),
+                obs_time=row.get("obs_time"),
+                source_code="nmc",
+                source_label="NMC",
+                is_official=True,
+                is_airport_station=False,
+                is_settlement_anchor=False,
+                extra={
+                    "page_url": row.get("page_url"),
+                    "humidity": _safe_float(row.get("humidity")),
+                    "rain": _safe_float(row.get("rain")),
+                    "airpressure": _safe_float(row.get("airpressure")),
+                    "wx_desc": row.get("wx_desc"),
+                    "wind_direction_text": row.get("wind_direction_text"),
+                    "wind_power_text": row.get("wind_power_text"),
+                },
+            )
+        )
+    return out
+
+
+def _mgm_rows(raw: Dict[str, Any], city: str) -> List[Dict[str, Any]]:
+    meta = _city_meta(city)
+    rows = raw.get("mgm_nearby") or []
+    out: List[Dict[str, Any]] = []
+    airport_code = str(meta.get("icao") or "").strip().upper()
+    for row in rows:
+        if not isinstance(row, dict):
+            continue
+        station_code = str(row.get("icao") or row.get("istNo") or "").strip() or None
+        station_label = row.get("name")
+        out.append(
+            _normalize_station_row(
+                station_code=station_code,
+                station_label=station_label,
+                temp=row.get("temp"),
+                lat=row.get("lat"),
+                lon=row.get("lon"),
+                source_code="mgm",
+                source_label="MGM",
+                is_official=True,
+                is_airport_station=_bool(station_code and station_code.upper() == airport_code)
+                or ("airport" in str(station_label or "").lower()),
+                is_settlement_anchor=False,
+                extra={
+                    "wind_dir": _safe_float(row.get("wind_dir")),
+                    "wind_speed_kt": _safe_float(row.get("wind_speed_kt") or row.get("wind_speed")),
+                },
+            )
+        )
+    return out
+
+
+def _settlement_anchor_row(city: str, raw: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+    meta = _city_meta(city)
+    settlement_current = raw.get("settlement_current") or {}
+    current = settlement_current.get("current") or {}
+    if not current and not settlement_current:
+        return None
+    station_code = (
+        settlement_current.get("station_code")
+        or meta.get("settlement_station_code")
+        or meta.get("icao")
+    )
+    station_label = (
+        settlement_current.get("station_name")
+        or meta.get("settlement_station_label")
+        or meta.get("airport_name")
+    )
+    settlement_source = str(meta.get("settlement_source") or "official").strip().lower() or "official"
+    return _normalize_station_row(
+        station_code=station_code,
+        station_label=station_label,
+        temp=current.get("temp"),
+        obs_time=settlement_current.get("observation_time"),
+        source_code=settlement_source,
+        source_label=settlement_source.upper(),
+        is_official=True,
+        is_airport_station=False,
+        is_settlement_anchor=True,
+        extra={
+            "max_so_far": _safe_float(current.get("max_temp_so_far")),
+            "max_temp_time": current.get("max_temp_time"),
+            "humidity": _safe_float(current.get("humidity")),
+            "wind_speed_kt": _safe_float(current.get("wind_speed_kt")),
+            "wind_dir": _safe_float(current.get("wind_dir")),
+        },
+    )
+
+
+def _settlement_station_metadata(city: str) -> Dict[str, Any]:
+    meta = _city_meta(city)
+    settlement_source = str(meta.get("settlement_source") or "metar").strip().lower() or "metar"
+    station_code = (
+        str(meta.get("settlement_station_code") or "").strip()
+        or str(meta.get("icao") or "").strip()
+        or None
+    )
+    station_label = (
+        str(meta.get("settlement_station_label") or "").strip()
+        or str(meta.get("airport_name") or "").strip()
+        or None
+    )
+    airport_code = str(meta.get("icao") or "").strip()
+    is_explicit_official_anchor = settlement_source in {"hko", "cwa"}
+    return {
+        "provider_code": _provider_code_for_city(city),
+        "settlement_source": settlement_source,
+        "settlement_station_code": station_code,
+        "settlement_station_label": station_label,
+        "airport_code": airport_code or None,
+        "airport_name": str(meta.get("airport_name") or "").strip() or None,
+        "is_airport_anchor": not is_explicit_official_anchor,
+        "is_official_station_anchor": is_explicit_official_anchor,
+    }
+
+
+def _network_signals(
+    airport_primary: Optional[Dict[str, Any]],
+    official_rows: List[Dict[str, Any]],
+) -> Dict[str, Any]:
+    airport_temp = _safe_float((airport_primary or {}).get("temp"))
+    valid_rows = [row for row in official_rows if _safe_float(row.get("temp")) is not None]
+    if not valid_rows:
+        return {
+            "network_lead_signal": {"available": False},
+            "network_spread_signal": {"available": False},
+            "center_station_candidate": None,
+            "airport_vs_network_delta": None,
+        }
+
+    hottest = max(valid_rows, key=lambda row: float(row.get("temp") or -999))
+    coolest = min(valid_rows, key=lambda row: float(row.get("temp") or 999))
+    hottest_temp = _safe_float(hottest.get("temp"))
+    coolest_temp = _safe_float(coolest.get("temp"))
+    spread = None
+    airport_delta = None
+    if hottest_temp is not None and coolest_temp is not None:
+        spread = round(hottest_temp - coolest_temp, 1)
+    if airport_temp is not None and hottest_temp is not None:
+        airport_delta = round(hottest_temp - airport_temp, 1)
+    return {
+        "network_lead_signal": {
+            "available": airport_delta is not None,
+            "delta": airport_delta,
+            "leader_station_code": hottest.get("station_code"),
+            "leader_station_label": hottest.get("station_label"),
+            "leader_temp": hottest_temp,
+        },
+        "network_spread_signal": {
+            "available": spread is not None,
+            "spread": spread,
+            "hottest_station_code": hottest.get("station_code"),
+            "coolest_station_code": coolest.get("station_code"),
+        },
+        "center_station_candidate": hottest,
+        "airport_vs_network_delta": airport_delta,
+    }
+
+
+@dataclass
+class CountryNetworkProvider:
+    provider_code: str
+    provider_label: str
+
+    def airport_primary_current(self, city: str, raw: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        return _airport_primary_from_raw(city, raw)
+
+    def airport_primary_history(self, city: str, target_date: str) -> Optional[Dict[str, Any]]:
+        return None
+
+    def official_nearby_current(self, city: str, raw: Dict[str, Any]) -> List[Dict[str, Any]]:
+        return []
+
+    def official_nearby_history(self, city: str, target_date: str) -> List[Dict[str, Any]]:
+        return []
+
+    def settlement_station_metadata(self, city: str) -> Dict[str, Any]:
+        return _settlement_station_metadata(city)
+
+    def official_network_status(self, city: str, raw: Dict[str, Any]) -> Dict[str, Any]:
+        rows = self.official_nearby_current(city, raw)
+        return {
+            "provider_code": self.provider_code,
+            "provider_label": self.provider_label,
+            "available": bool(rows),
+            "mode": "active" if rows else "unavailable",
+            "row_count": len(rows),
+        }
+
+
+class GlobalMetarNetworkProvider(CountryNetworkProvider):
+    def __init__(self) -> None:
+        super().__init__("global_metar", "METAR")
+
+    def official_nearby_current(self, city: str, raw: Dict[str, Any]) -> List[Dict[str, Any]]:
+        return _metar_cluster_rows(raw)
+
+    def official_network_status(self, city: str, raw: Dict[str, Any]) -> Dict[str, Any]:
+        rows = self.official_nearby_current(city, raw)
+        return {
+            "provider_code": self.provider_code,
+            "provider_label": self.provider_label,
+            "available": bool(rows),
+            "mode": "fallback_metar_cluster" if rows else "no_official_network",
+            "row_count": len(rows),
+        }
+
+
+class TurkeyMgmNetworkProvider(CountryNetworkProvider):
+    def __init__(self) -> None:
+        super().__init__("turkey_mgm", "MGM")
+
+    def official_nearby_current(self, city: str, raw: Dict[str, Any]) -> List[Dict[str, Any]]:
+        return _mgm_rows(raw, city)
+
+
+class ChinaCmaNetworkProvider(CountryNetworkProvider):
+    def __init__(self) -> None:
+        super().__init__("china_cma", "CMA/NMC")
+
+    def official_nearby_current(self, city: str, raw: Dict[str, Any]) -> List[Dict[str, Any]]:
+        rows = _nmc_rows(raw, city)
+        if rows:
+            return rows
+        return _metar_cluster_rows(raw)
+
+    def official_network_status(self, city: str, raw: Dict[str, Any]) -> Dict[str, Any]:
+        rows = self.official_nearby_current(city, raw)
+        has_nmc = bool(_nmc_rows(raw, city))
+        return {
+            "provider_code": self.provider_code,
+            "provider_label": self.provider_label,
+            "available": has_nmc,
+            "mode": "official_active" if has_nmc else ("fallback_metar_cluster" if rows else "reference_only"),
+            "row_count": len(rows),
+        }
+
+
+class HongKongHkoNetworkProvider(CountryNetworkProvider):
+    def __init__(self) -> None:
+        super().__init__("hongkong_hko", "HKO")
+
+    def official_nearby_current(self, city: str, raw: Dict[str, Any]) -> List[Dict[str, Any]]:
+        anchor = _settlement_anchor_row(city, raw)
+        return [anchor] if anchor else []
+
+
+class TaiwanCwaNetworkProvider(CountryNetworkProvider):
+    def __init__(self) -> None:
+        super().__init__("taiwan_cwa", "CWA")
+
+    def official_nearby_current(self, city: str, raw: Dict[str, Any]) -> List[Dict[str, Any]]:
+        anchor = _settlement_anchor_row(city, raw)
+        return [anchor] if anchor else []
+
+
+def get_country_network_provider(city: str) -> CountryNetworkProvider:
+    provider_code = _provider_code_for_city(city)
+    if provider_code == "turkey_mgm":
+        return TurkeyMgmNetworkProvider()
+    if provider_code == "china_cma":
+        return ChinaCmaNetworkProvider()
+    if provider_code == "hongkong_hko":
+        return HongKongHkoNetworkProvider()
+    if provider_code == "taiwan_cwa":
+        return TaiwanCwaNetworkProvider()
+    return GlobalMetarNetworkProvider()
+
+
+def build_country_network_snapshot(city: str, raw: Dict[str, Any]) -> Dict[str, Any]:
+    provider = get_country_network_provider(city)
+    metadata = provider.settlement_station_metadata(city)
+    airport_primary = provider.airport_primary_current(city, raw) or {}
+    official_nearby = provider.official_nearby_current(city, raw)
+    status = provider.official_network_status(city, raw)
+    signals = _network_signals(airport_primary, official_nearby)
+    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 []),
+        "official_nearby": official_nearby,
+        "official_network_source": status.get("provider_code"),
+        "official_network_status": status,
+        **signals,
+    }
+
+
+def provider_coverage_summary() -> Dict[str, Any]:
+    providers: Dict[str, Dict[str, Any]] = {}
+    for city in CITY_REGISTRY:
+        provider_code = _provider_code_for_city(city)
+        entry = providers.setdefault(
+            provider_code,
+            {
+                "cities": [],
+                "cities_count": 0,
+            },
+        )
+        entry["cities"].append(city)
+        entry["cities_count"] += 1
+    return {
+        "providers": providers,
+        "airport_anchor_coverage": sum(
+            1
+            for city, meta in CITY_REGISTRY.items()
+            if str(meta.get("icao") or "").strip()
+        ),
+        "official_station_anchor_coverage": sum(
+            1
+            for city in CITY_REGISTRY
+            if _settlement_station_metadata(city).get("is_official_station_anchor")
+        ),
+    }
@@ -0,0 +1,188 @@
+from __future__ import annotations
+
+import re
+import time
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+
+from loguru import logger
+
+from src.utils.metrics import record_source_call
+
+
+NMC_CITY_REFERENCES: Dict[str, Dict[str, Any]] = {
+    "shanghai": {
+        "region_label": "浦东",
+        "page_url": "https://m.nmc.cn/publish/forecast/ASH/pudong.html",
+        "station_code": "atcMf",
+    },
+    "beijing": {
+        "region_label": "顺义",
+        "page_url": "https://m.nmc.cn/publish/forecast/ABJ/shunyi.html",
+        "station_code": "MKoqG",
+    },
+    "chongqing": {
+        "region_label": "渝北",
+        "page_url": "https://m.nmc.cn/publish/forecast/ACQ/yubei.html",
+        "station_code": "xFVYU",
+    },
+    "chengdu": {
+        "region_label": "双流",
+        "page_url": "https://m.nmc.cn/publish/forecast/ASC/shuangliu.html",
+        "station_code": "grFhZ",
+    },
+    "wuhan": {
+        "region_label": "武汉",
+        "page_url": "https://m.nmc.cn/publish/forecast/AHB/wuhan.html",
+        "station_code": "bSpCz",
+    },
+    "shenzhen": {
+        "region_label": "深圳",
+        "page_url": "https://m.nmc.cn/publish/forecast/AGD/shenzhen.html",
+        "station_code": "59493",
+    },
+}
+
+
+class NmcSourceMixin:
+    @staticmethod
+    def _nmc_optional_float(value: Any) -> Optional[float]:
+        if value in (None, "", "9999", 9999, 9999.0):
+            return None
+        try:
+            return float(value)
+        except Exception:
+            return None
+
+    def _resolve_nmc_station_code(self, city: str) -> Optional[str]:
+        city_key = str(city or "").strip().lower()
+        meta = NMC_CITY_REFERENCES.get(city_key) or {}
+        station_code = str(meta.get("station_code") or "").strip()
+        if station_code:
+            return station_code
+
+        page_url = str(meta.get("page_url") or "").strip()
+        if not page_url:
+            return None
+
+        try:
+            resp = self.session.get(page_url, timeout=self.timeout)
+            resp.raise_for_status()
+            match = re.search(
+                r"renderWeatherRealPanel\('([^']+)',\s*'([^']+)'\)",
+                resp.text,
+            )
+            if not match:
+                return None
+            station_code = str(match.group(1) or "").strip()
+            if station_code:
+                meta["station_code"] = station_code
+                return station_code
+        except Exception as exc:
+            logger.warning("NMC station code resolve failed city={} error={}", city_key, exc)
+        return None
+
+    def fetch_nmc_region_current(
+        self,
+        city: str,
+        use_fahrenheit: bool = False,
+    ) -> Optional[Dict[str, Any]]:
+        started = time.perf_counter()
+        city_key = str(city or "").strip().lower()
+        meta = NMC_CITY_REFERENCES.get(city_key) or {}
+        if not meta:
+            record_source_call("nmc", "current", "unsupported_city", (time.perf_counter() - started) * 1000.0)
+            return None
+
+        cache_key = f"{city_key}:{use_fahrenheit}"
+        now_ts = time.time()
+        with self._nmc_cache_lock:
+            cached = self._nmc_cache.get(cache_key)
+            if cached and now_ts - cached["t"] < self.nmc_cache_ttl_sec:
+                record_source_call("nmc", "current", "cache_hit", (time.perf_counter() - started) * 1000.0)
+                return cached["d"]
+
+        station_code = self._resolve_nmc_station_code(city_key)
+        if not station_code:
+            record_source_call("nmc", "current", "missing_station_code", (time.perf_counter() - started) * 1000.0)
+            return None
+
+        try:
+            url = f"https://www.nmc.cn/rest/real/{station_code}"
+            resp = self.session.get(url, timeout=self.timeout)
+            resp.raise_for_status()
+            payload = resp.json()
+            if not isinstance(payload, dict) or not isinstance(payload.get("weather"), dict):
+                record_source_call("nmc", "current", "empty", (time.perf_counter() - started) * 1000.0)
+                return None
+
+            weather = payload.get("weather") or {}
+            temp_c = weather.get("temperature")
+            if temp_c in (None, "", "9999"):
+                record_source_call("nmc", "current", "no_temperature", (time.perf_counter() - started) * 1000.0)
+                return None
+            temp_c = float(temp_c)
+            temp = round(temp_c * 9 / 5 + 32, 1) if use_fahrenheit else round(temp_c, 1)
+
+            station = payload.get("station") or {}
+            result = {
+                "source": "nmc",
+                "timestamp": datetime.utcnow().isoformat(),
+                "station_code": station_code,
+                "station_name": station.get("city") or meta.get("region_label") or city_key.title(),
+                "page_url": meta.get("page_url"),
+                "publish_time": payload.get("publish_time"),
+                "current": {
+                    "temp": temp,
+                    "humidity": self._nmc_optional_float(weather.get("humidity")),
+                    "rain": self._nmc_optional_float(weather.get("rain")),
+                    "airpressure": self._nmc_optional_float(weather.get("airpressure")),
+                    "wx_desc": weather.get("info"),
+                    "wind_direction": (payload.get("wind") or {}).get("direct"),
+                    "wind_power": (payload.get("wind") or {}).get("power"),
+                },
+            }
+            with self._nmc_cache_lock:
+                self._nmc_cache[cache_key] = {"d": result, "t": now_ts}
+            record_source_call("nmc", "current", "success", (time.perf_counter() - started) * 1000.0)
+            return result
+        except Exception as exc:
+            logger.warning("NMC current fetch failed city={} code={} error={}", city_key, station_code, exc)
+            with self._nmc_cache_lock:
+                stale = self._nmc_cache.get(cache_key)
+                if stale:
+                    record_source_call("nmc", "current", "stale_cache", (time.perf_counter() - started) * 1000.0)
+                    return stale["d"]
+            record_source_call("nmc", "current", "error", (time.perf_counter() - started) * 1000.0)
+            return None
+
+    def fetch_nmc_official_nearby(
+        self,
+        city: str,
+        use_fahrenheit: bool = False,
+    ) -> List[Dict[str, Any]]:
+        current = self.fetch_nmc_region_current(city, use_fahrenheit=use_fahrenheit)
+        if not current:
+            return []
+        meta = NMC_CITY_REFERENCES.get(str(city or "").strip().lower()) or {}
+        city_meta = self.CITY_REGISTRY.get(str(city or "").strip().lower()) or {}
+        return [
+            {
+                "name": f"{meta.get('region_label') or current.get('station_name')} (NMC)",
+                "lat": city_meta.get("lat"),
+                "lon": city_meta.get("lon"),
+                "temp": current.get("current", {}).get("temp"),
+                "istNo": current.get("station_code"),
+                "icao": current.get("station_code"),
+                "source": "nmc",
+                "source_label": "NMC",
+                "obs_time": current.get("publish_time"),
+                "page_url": current.get("page_url"),
+                "humidity": current.get("current", {}).get("humidity"),
+                "rain": current.get("current", {}).get("rain"),
+                "airpressure": current.get("current", {}).get("airpressure"),
+                "wx_desc": current.get("current", {}).get("wx_desc"),
+                "wind_direction_text": current.get("current", {}).get("wind_direction"),
+                "wind_power_text": current.get("current", {}).get("wind_power"),
+            }
+        ]
@@ -9,10 +9,11 @@ from src.data_collection.open_meteo_cache import OpenMeteoCacheMixin
 from src.data_collection.settlement_sources import SettlementSourceMixin
 from src.data_collection.metar_sources import MetarSourceMixin
 from src.data_collection.mgm_sources import MgmSourceMixin
+from src.data_collection.nmc_sources import NmcSourceMixin
 from src.data_collection.nws_open_meteo_sources import NwsOpenMeteoSourceMixin


-class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSourceMixin, MgmSourceMixin, NwsOpenMeteoSourceMixin):
+class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSourceMixin, MgmSourceMixin, NmcSourceMixin, NwsOpenMeteoSourceMixin):
    """
    Multi-source weather data collector

@@ -150,6 +151,11 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
        )
        self._taf_cache: Dict[str, Dict] = {}
        self._taf_cache_lock = threading.Lock()
+        self.nmc_cache_ttl_sec = int(
+            os.getenv("NMC_CACHE_TTL_SEC", "300")
+        )
+        self._nmc_cache: Dict[str, Dict] = {}
+        self._nmc_cache_lock = threading.Lock()
        self.settlement_cache_ttl_sec = int(
            os.getenv("SETTLEMENT_SOURCE_CACHE_TTL_SEC", "120")
        )
@@ -655,6 +661,28 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
            results["mgm_nearby"] = cluster_data
            results["nearby_source"] = "metar_cluster"

+    def _attach_china_official_nearby(
+        self, results: Dict, city_lower: str, use_fahrenheit: bool
+    ) -> None:
+        if city_lower not in {
+            "beijing",
+            "chengdu",
+            "chongqing",
+            "shanghai",
+            "shenzhen",
+            "wuhan",
+        }:
+            return
+        official_rows = self.fetch_nmc_official_nearby(
+            city_lower, use_fahrenheit=use_fahrenheit
+        )
+        if not official_rows:
+            return
+        results["nmc_official_nearby"] = official_rows
+        if "mgm_nearby" not in results:
+            results["mgm_nearby"] = official_rows
+        results["nearby_source"] = "nmc"
+
    def _attach_warsaw_official_nearby(
        self, results: Dict, use_fahrenheit: bool
    ) -> None:
@@ -749,6 +777,7 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
                        results["taf"] = taf_data

                self._attach_turkish_mgm_data(results, city_lower)
+                self._attach_china_official_nearby(results, city_lower, use_fahrenheit)
                if city_lower == "warsaw":
                    self._attach_warsaw_official_nearby(results, use_fahrenheit)
                self._attach_global_nearby_cluster(
@@ -775,6 +804,7 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
                        results["taf"] = taf_data

                self._attach_turkish_mgm_data(results, city_lower)
+                self._attach_china_official_nearby(results, city_lower, use_fahrenheit)
                if city_lower == "warsaw":
                    self._attach_warsaw_official_nearby(results, use_fahrenheit)
                self._attach_global_nearby_cluster(
@@ -0,0 +1,150 @@
+from src.data_collection.country_networks import build_country_network_snapshot
+from web.analysis_service import _build_city_detail_payload
+
+
+def test_turkey_mgm_provider_returns_official_nearby_rows():
+    raw = {
+        "metar": {
+            "observation_time": "2026-04-06T10:00:00.000Z",
+            "current": {"temp": 16.0},
+        },
+        "mgm_nearby": [
+            {
+                "name": "Airport (MGM/17128)",
+                "istNo": "17128",
+                "lat": 40.1,
+                "lon": 32.9,
+                "temp": 17.1,
+            }
+        ],
+    }
+
+    snapshot = build_country_network_snapshot("ankara", raw)
+
+    assert snapshot["provider_code"] == "turkey_mgm"
+    assert snapshot["official_network_status"]["available"] is True
+    assert snapshot["official_nearby"][0]["source_code"] == "mgm"
+    assert snapshot["official_nearby"][0]["is_official"] is True
+
+
+def test_china_provider_falls_back_to_metar_cluster_without_replacing_airport_anchor():
+    raw = {
+        "metar": {
+            "observation_time": "2026-04-06T10:00:00.000Z",
+            "current": {"temp": 22.5},
+        },
+        "mgm_nearby": [
+            {
+                "name": "Hongqiao",
+                "icao": "ZSSS",
+                "lat": 31.2,
+                "lon": 121.3,
+                "temp": 23.1,
+            }
+        ],
+    }
+
+    snapshot = build_country_network_snapshot("shanghai", raw)
+
+    assert snapshot["provider_code"] == "china_cma"
+    assert snapshot["airport_primary_current"]["source_code"] == "metar"
+    assert snapshot["airport_primary_current"]["is_airport_station"] is True
+    assert snapshot["official_network_status"]["mode"] == "fallback_metar_cluster"
+    assert snapshot["official_nearby"][0]["source_code"] == "metar_cluster"
+    assert snapshot["official_nearby"][0]["is_official"] is False
+
+
+def test_china_provider_prefers_nmc_rows_when_available():
+    raw = {
+        "metar": {
+            "observation_time": "2026-04-06T10:00:00.000Z",
+            "current": {"temp": 22.5},
+        },
+        "nmc_official_nearby": [
+            {
+                "name": "浦东 (NMC)",
+                "icao": "atcMf",
+                "lat": 31.14,
+                "lon": 121.80,
+                "temp": 17.9,
+                "obs_time": "2026-04-06 06:50",
+            }
+        ],
+        "mgm_nearby": [
+            {
+                "name": "Hongqiao",
+                "icao": "ZSSS",
+                "lat": 31.2,
+                "lon": 121.3,
+                "temp": 23.1,
+            }
+        ],
+    }
+
+    snapshot = build_country_network_snapshot("shanghai", raw)
+
+    assert snapshot["provider_code"] == "china_cma"
+    assert snapshot["official_network_status"]["available"] is True
+    assert snapshot["official_network_status"]["mode"] == "official_active"
+    assert snapshot["official_nearby"][0]["source_code"] == "nmc"
+    assert snapshot["official_nearby"][0]["is_official"] is True
+
+
+def test_hko_provider_marks_explicit_official_station_as_anchor():
+    raw = {
+        "settlement_current": {
+            "station_code": "LFS",
+            "station_name": "Lau Fau Shan",
+            "observation_time": "2026-04-06T10:00:00+08:00",
+            "current": {"temp": 25.0},
+        }
+    }
+
+    snapshot = build_country_network_snapshot("lau fau shan", raw)
+
+    assert snapshot["provider_code"] == "hongkong_hko"
+    assert snapshot["settlement_station"]["is_official_station_anchor"] is True
+    assert snapshot["official_nearby"][0]["is_settlement_anchor"] is True
+    assert snapshot["official_nearby"][0]["station_code"] == "LFS"
+
+
+def test_city_detail_payload_exposes_airport_and_official_network_layers():
+    payload = _build_city_detail_payload(
+        {
+            "name": "ankara",
+            "display_name": "Ankara",
+            "local_time": "12:00",
+            "local_date": "2026-04-06",
+            "temp_symbol": "°C",
+            "updated_at": "2026-04-06T04:00:00Z",
+            "current": {
+                "temp": 16.0,
+                "settlement_source": "metar",
+                "settlement_source_label": "METAR",
+            },
+            "risk": {"icao": "LTAC", "airport": "Esenboga", "level": "medium", "warning": ""},
+            "airport_primary": {"temp": 16.0, "source_code": "metar"},
+            "airport_primary_today_obs": [{"time": "10:00", "temp": 16.0}],
+            "official_nearby": [{"station_code": "17128", "temp": 17.2, "source_code": "mgm"}],
+            "official_network_source": "turkey_mgm",
+            "official_network_status": {"provider_code": "turkey_mgm", "available": True},
+            "network_lead_signal": {"available": True, "delta": 1.2},
+            "network_spread_signal": {"available": True, "spread": 2.1},
+            "center_station_candidate": {"station_code": "17128", "temp": 17.2},
+            "airport_vs_network_delta": 1.2,
+            "settlement_station": {
+                "settlement_station_code": "LTAC",
+                "settlement_station_label": "Ankara Esenboga Airport",
+                "is_airport_anchor": True,
+            },
+            "probabilities": {"distribution": []},
+            "multi_model": {},
+            "multi_model_daily": {},
+            "dynamic_commentary": {"summary": "", "notes": []},
+            "taf": {},
+        }
+    )
+
+    assert payload["official"]["airport_primary"]["source_code"] == "metar"
+    assert payload["official"]["official_nearby"][0]["source_code"] == "mgm"
+    assert payload["settlement_station"]["settlement_station_code"] == "LTAC"
@@ -0,0 +1,99 @@
+import threading
+
+from src.data_collection.nmc_sources import NmcSourceMixin
+
+
+class _DummyResponse:
+    def __init__(self, *, text="", payload=None, status_code=200):
+        self.text = text
+        self._payload = payload
+        self.status_code = status_code
+
+    def raise_for_status(self):
+        if self.status_code >= 400:
+            raise RuntimeError(f"HTTP {self.status_code}")
+
+    def json(self):
+        return self._payload
+
+
+class _DummySession:
+    def __init__(self, mapping):
+        self.mapping = mapping
+
+    def get(self, url, timeout=None):
+        if url not in self.mapping:
+            raise AssertionError(f"unexpected url {url}")
+        return self.mapping[url]
+
+
+class _DummyCollector(NmcSourceMixin):
+    CITY_REGISTRY = {
+        "shanghai": {"lat": 31.1434, "lon": 121.8052},
+    }
+
+    def __init__(self, mapping):
+        self.session = _DummySession(mapping)
+        self.timeout = 5
+        self.nmc_cache_ttl_sec = 300
+        self._nmc_cache = {}
+        self._nmc_cache_lock = threading.Lock()
+
+
+def test_fetch_nmc_region_current_parses_rest_payload():
+    collector = _DummyCollector(
+        {
+            "https://www.nmc.cn/rest/real/atcMf": _DummyResponse(
+                payload={
+                    "station": {"code": "atcMf", "city": "浦东"},
+                    "publish_time": "2026-04-06 06:50",
+                    "weather": {
+                        "temperature": 17.9,
+                        "humidity": 83.0,
+                        "rain": 0.0,
+                        "airpressure": 9999.0,
+                        "info": "多云",
+                    },
+                    "wind": {"direct": "东北风", "power": "3级"},
+                }
+            )
+        }
+    )
+
+    out = collector.fetch_nmc_region_current("shanghai")
+
+    assert out is not None
+    assert out["source"] == "nmc"
+    assert out["station_code"] == "atcMf"
+    assert out["current"]["temp"] == 17.9
+    assert out["current"]["humidity"] == 83.0
+    assert out["current"]["airpressure"] is None
+
+
+def test_fetch_nmc_official_nearby_returns_normalized_row():
+    collector = _DummyCollector(
+        {
+            "https://www.nmc.cn/rest/real/atcMf": _DummyResponse(
+                payload={
+                    "station": {"code": "atcMf", "city": "浦东"},
+                    "publish_time": "2026-04-06 06:50",
+                    "weather": {
+                        "temperature": 17.9,
+                        "humidity": 83.0,
+                        "rain": 0.0,
+                        "airpressure": 9999.0,
+                        "info": "多云",
+                    },
+                    "wind": {"direct": "东北风", "power": "3级"},
+                }
+            )
+        }
+    )
+
+    rows = collector.fetch_nmc_official_nearby("shanghai")
+
+    assert len(rows) == 1
+    assert rows[0]["source"] == "nmc"
+    assert rows[0]["temp"] == 17.9
+    assert rows[0]["name"] == "浦东 (NMC)"
+    assert rows[0]["lat"] == 31.1434
@@ -32,6 +32,7 @@ def test_system_status_returns_summary_shape():
    assert 'rollout' in payload['probability']
    assert payload['probability']['rollout']['decision']['decision'] in {'hold', 'observe', 'promote'}
    assert 'training_data' in payload
+    assert 'station_networks' in payload
    assert 'truth_records' in payload['training_data']
    assert 'training_features' in payload['training_data']
    assert 'city_coverage' in payload['training_data']
@@ -52,6 +53,7 @@ def test_cities_endpoint_uses_denver_display_name_for_aurora_market():
    payload = response.json()
    aurora = next(item for item in payload["cities"] if item["name"] == "aurora")
    assert aurora["display_name"] == "Denver"
+    assert aurora["network_provider"] == "global_metar"
    assert aurora["deb_recent_tier"] in {"high", "medium", "low", "other"}
    assert "deb_recent_sample_count" in aurora

@@ -244,3 +246,5 @@ def test_city_history_is_read_only_and_uses_sqlite_truth_and_features(monkeypatc
    assert row["deb"] == 16.4
    assert row["mu"] == 16.2
    assert row["forecasts"]["Open-Meteo"] == 15.8
+    assert row["settlement_station_code"] == "LTAC"
+    assert row["truth_version"] == "v1"
@@ -22,6 +22,7 @@ from web.core import (
 )
 from src.analysis.deb_algorithm import calculate_dynamic_weights
 from src.analysis.settlement_rounding import apply_city_settlement
+from src.data_collection.country_networks import build_country_network_snapshot
 from src.data_collection.city_registry import ALIASES
 from src.models.lgbm_daily_high import predict_lgbm_daily_high

@@ -817,6 +818,7 @@ def _analyze(city: str, force_refresh: bool = False) -> Dict[str, Any]:
    if not isinstance(mm, dict):
        mm = {}
    risk = CITY_RISK_PROFILES.get(city, {})
+    network_snapshot = build_country_network_snapshot(city, raw)

    # ── 2. Current conditions (city-specific settlement source first, then METAR/MGM fallback) ──
    mc = metar.get("current", {}) if metar else {}
@@ -1495,6 +1497,16 @@ def _analyze(city: str, force_refresh: bool = False) -> Dict[str, Any]:
            "raw_metar": mc.get("raw_metar"),
            "source_label": "METAR",
        },
+        "settlement_station": network_snapshot.get("settlement_station") or {},
+        "airport_primary": network_snapshot.get("airport_primary_current") or {},
+        "airport_primary_today_obs": network_snapshot.get("airport_primary_today_obs") or [],
+        "official_nearby": network_snapshot.get("official_nearby") or [],
+        "official_network_source": network_snapshot.get("official_network_source"),
+        "official_network_status": network_snapshot.get("official_network_status") or {},
+        "network_lead_signal": network_snapshot.get("network_lead_signal") or {},
+        "network_spread_signal": network_snapshot.get("network_spread_signal") or {},
+        "center_station_candidate": network_snapshot.get("center_station_candidate"),
+        "airport_vs_network_delta": network_snapshot.get("airport_vs_network_delta"),
        "mgm": mgm_data,
        "mgm_nearby": raw.get("mgm_nearby", []),
        "nearby_source": raw.get("nearby_source") or ("mgm" if city.lower() in TURKISH_MGM_CITIES else "metar_cluster"),
@@ -1691,6 +1703,7 @@ def _build_city_detail_payload(
            "current_temp": data.get("current", {}).get("temp"),
            "settlement_source": data.get("current", {}).get("settlement_source"),
            "settlement_source_label": data.get("current", {}).get("settlement_source_label"),
+            "settlement_station": data.get("settlement_station") or {},
            "deb_prediction": data.get("deb", {}).get("prediction"),
            "risk_level": data.get("risk", {}).get("level"),
            "risk_warning": data.get("risk", {}).get("warning"),
@@ -1711,6 +1724,15 @@ def _build_city_detail_payload(
            "mgm": data.get("mgm") or {},
            "mgm_nearby": data.get("mgm_nearby") or [],
            "nearby_source": data.get("nearby_source") or ("mgm" if str(data.get("name") or "").lower() in TURKISH_MGM_CITIES else "metar_cluster"),
+            "airport_primary": data.get("airport_primary") or {},
+            "airport_primary_today_obs": data.get("airport_primary_today_obs") or [],
+            "official_nearby": data.get("official_nearby") or [],
+            "official_network_source": data.get("official_network_source"),
+            "official_network_status": data.get("official_network_status") or {},
+            "network_lead_signal": data.get("network_lead_signal") or {},
+            "network_spread_signal": data.get("network_spread_signal") or {},
+            "center_station_candidate": data.get("center_station_candidate"),
+            "airport_vs_network_delta": data.get("airport_vs_network_delta"),
        },
        "timeseries": {
            "metar_recent_obs": data.get("metar_recent_obs") or [],
@@ -1731,6 +1753,15 @@ def _build_city_detail_payload(
        "taf": data.get("taf") or {},
        "market_scan": market_scan,
        "risk": data.get("risk"),
+        "settlement_station": data.get("settlement_station") or {},
+        "airport_primary": data.get("airport_primary") or {},
+        "official_nearby": data.get("official_nearby") or [],
+        "official_network_source": data.get("official_network_source"),
+        "official_network_status": data.get("official_network_status") or {},
+        "network_lead_signal": data.get("network_lead_signal") or {},
+        "network_spread_signal": data.get("network_spread_signal") or {},
+        "center_station_candidate": data.get("center_station_candidate"),
+        "airport_vs_network_delta": data.get("airport_vs_network_delta"),
        "airport_current": data.get("airport_current") or {},
        "nearby_source": data.get("nearby_source") or ("mgm" if str(data.get("name") or "").lower() in TURKISH_MGM_CITIES else "metar_cluster"),
        "ai_analysis": data.get("ai_analysis") or "",
@@ -17,6 +17,7 @@ from loguru import logger
 from src.utils.config_loader import load_config
 from src.utils.config_validation import validate_runtime_env
 from src.data_collection.weather_sources import WeatherDataCollector
+from src.data_collection.country_networks import provider_coverage_summary
 from src.data_collection.city_risk_profiles import CITY_RISK_PROFILES  # noqa: F401
 from src.data_collection.polymarket_readonly import PolymarketReadOnlyLayer
 from src.auth.supabase_entitlement import SUPABASE_ENTITLEMENT, extract_bearer_token
@@ -748,5 +749,6 @@ def build_system_status_payload() -> Dict[str, Any]:
        "metrics": build_metrics_summary(),
        "probability": _probability_summary(),
        "training_data": _training_data_summary(),
+        "station_networks": provider_coverage_summary(),
        "cities_count": len(CITIES),
    }
@@ -12,6 +12,7 @@ from src.analysis.deb_algorithm import load_history
 from src.analysis.probability_snapshot_archive import load_snapshot_rows_for_day
 from src.database.runtime_state import TrainingFeatureRecordRepository, TruthRecordRepository
 from src.analysis.settlement_rounding import apply_city_settlement
+from src.data_collection.country_networks import get_country_network_provider
 from src.data_collection.city_registry import ALIASES
 from src.utils.metrics import export_prometheus_metrics
 from web.analysis_service import (
@@ -271,6 +272,7 @@ async def list_cities(request: Request):
            city_meta = CITY_REGISTRY.get(name, {}) or {}
            deb_recent = deb_recent_index.get(name, {})
            settlement_source = str(info.get("settlement_source") or "metar").strip().lower() or "metar"
+            provider = get_country_network_provider(name)
            out.append(
                {
                    "name": name,
@@ -288,6 +290,10 @@ async def list_cities(request: Request):
                        settlement_source,
                        settlement_source.upper(),
                    ),
+                    "settlement_station_code": city_meta.get("settlement_station_code") or city_meta.get("icao"),
+                    "settlement_station_label": city_meta.get("settlement_station_label") or city_meta.get("airport_name"),
+                    "network_provider": provider.provider_code,
+                    "network_provider_label": provider.provider_label,
                    "deb_recent_tier": deb_recent.get("tier", "other"),
                    "deb_recent_hit_rate": deb_recent.get("hit_rate"),
                    "deb_recent_sample_count": deb_recent.get("sample_count", 0),
@@ -329,6 +335,12 @@ async def city_history(request: Request, name: str):
            features = feature_rows.get(day) or {}
            if truth.get("actual_high") is not None:
                record["actual_high"] = truth.get("actual_high")
+                record["settlement_source"] = truth.get("settlement_source")
+                record["settlement_station_code"] = truth.get("settlement_station_code")
+                record["settlement_station_label"] = truth.get("settlement_station_label")
+                record["truth_version"] = truth.get("truth_version")
+                record["updated_by"] = truth.get("updated_by")
+                record["truth_updated_at"] = truth.get("truth_updated_at")
            if isinstance(features, dict):
                if features.get("deb_prediction") is not None:
                    record["deb_prediction"] = features.get("deb_prediction")
@@ -379,6 +391,12 @@ async def city_history(request: Request, name: str):
                "mu": float(mu) if mu is not None else None,
                "mgm": float(mgm) if mgm is not None else None,
                "forecasts": forecasts,
+                "settlement_source": rec.get("settlement_source"),
+                "settlement_station_code": rec.get("settlement_station_code"),
+                "settlement_station_label": rec.get("settlement_station_label"),
+                "truth_version": rec.get("truth_version"),
+                "updated_by": rec.get("updated_by"),
+                "truth_updated_at": rec.get("truth_updated_at"),
                "actual_peak_time": peak_ref.get("actual_peak_time"),
                "deb_at_peak_minus_12h": peak_ref.get("deb_at_peak_minus_12h"),
                "deb_at_peak_minus_12h_time": peak_ref.get("deb_at_peak_minus_12h_time"),