Add Qingdao to the tradable city network
Qingdao needs the same airport-settlement path as the other Wunderground-backed APAC cities, so the registry, aliases, timezone, prewarm, official links, market focus, and tests now point to ZSQD / Qingdao Jiaodong International Airport. Constraint: User supplied Wunderground Qingdao/ZSQD settlement URL. Rejected: Add a partial registry-only entry | it would show in APIs without frontend links, prewarm coverage, or alias support. Confidence: high Scope-risk: narrow Reversibility: clean Tested: pytest tests/test_country_networks.py tests/test_web_observability.py::test_cities_endpoint_includes_new_wunderground_cities -q Tested: npm run build Not-tested: Live Wunderground fetch for ZSQD in production.
This commit is contained in:
2569718930@qq.com
@@ -2,6 +2,7 @@
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## 1.5.5 - 2026-04-27
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- 新增 Qingdao / 青岛城市，结算锚点接入 Wunderground 青岛胶东国际机场 `ZSQD` 历史页，并补齐别名、时区、预热、官方来源和前端地区归类
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- 城市决策卡新增 AI 机场报文解读缓存说明：页面内存缓存保留 loading / 流式片段 / 最终结果，`localStorage` 保存最终成功 payload，后端 AI 缓存不再因 `local_time` 变化失效
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- 城市决策卡兜底文案明确标记“快速证据模式”，避免在 DeepSeek 未完整返回时误写成“AI 机场报文解读正常”
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- 城市决策卡流式 AI 解读改为只请求 METAR/官方观测核心解读与判断依据，最高温中枢、模型一致性和风险清单由后端规则补齐，减少等待时间
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@@ -97,7 +97,7 @@ flowchart LR
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## Monitored Cities (52)
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- Europe / Middle East / Africa: Ankara, Istanbul, Moscow, London, Paris, Munich, Milan, Warsaw, Madrid, Tel Aviv, Amsterdam, Helsinki, Lagos, Cape Town, Jeddah
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- APAC: Seoul, Busan, Hong Kong, Lau Fau Shan, Taipei, Shanghai, Beijing, Wuhan, Chengdu, Chongqing, Shenzhen, Guangzhou, Singapore, Tokyo, Kuala Lumpur, Jakarta, Manila, Wellington
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- APAC: Seoul, Busan, Hong Kong, Lau Fau Shan, Taipei, Shanghai, Beijing, Qingdao, Wuhan, Chengdu, Chongqing, Shenzhen, Guangzhou, Singapore, Tokyo, Kuala Lumpur, Jakarta, Manila, Wellington
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- Americas: Toronto, New York, Los Angeles, San Francisco, Aurora, Austin, Houston, Chicago, Dallas, Miami, Atlanta, Seattle, Mexico City, Buenos Aires, Sao Paulo, Panama City
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- South Asia: Lucknow, Karachi, Masroor Air Base
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@@ -41,6 +41,7 @@ const CITY_NAME_ZH: Record<string, string> = {
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Panama: "巴拿马城",
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"Panama City": "巴拿马城",
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Paris: "巴黎",
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Qingdao: "青岛",
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"Sao Paulo": "圣保罗",
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"São Paulo": "圣保罗",
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Seattle: "西雅图",
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@@ -91,6 +92,7 @@ const AIRPORT_NAME_ZH: Record<string, string> = {
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"New York": "拉瓜迪亚机场",
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"Panama City": "托库门国际机场",
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Paris: "戴高乐机场",
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Qingdao: "青岛胶东国际机场",
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"Sao Paulo": "瓜鲁柳斯国际机场",
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"São Paulo": "瓜鲁柳斯国际机场",
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Seattle: "西雅图-塔科马国际机场",
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@@ -617,6 +617,23 @@ const CITY_SPECIFIC_SOURCES: Record<string, OfficialSourceLink[]> = {
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kind: "metar",
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},
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],
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qingdao: [
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{
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label: "Wunderground ZSQD",
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href: "https://www.wunderground.com/history/daily/cn/qingdao/ZSQD",
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kind: "agency",
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},
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{
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label: "青岛胶东国际机场",
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href: "https://www.qdairport.com/",
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kind: "airport",
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},
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{
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label: "ZSQD METAR",
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href: "https://aviationweather.gov/data/metar/?id=ZSQD&decoded=1&taf=1",
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kind: "metar",
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},
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],
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"kuala lumpur": [
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{
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label: "Wunderground WMKK",
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@@ -25,6 +25,7 @@ const CITY_TO_MARKET_SLUG: Record<string, string> = {
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munich: "munich",
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"new york": "nyc",
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paris: "paris",
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qingdao: "qingdao",
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"san francisco": "san-francisco",
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"sao paulo": "sao-paulo",
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seattle: "seattle",
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@@ -107,6 +107,7 @@ const CITY_REGION_FALLBACK: Record<string, MarketRegionKey> = {
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chongqing: "asia_pacific",
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shenzhen: "asia_pacific",
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guangzhou: "asia_pacific",
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qingdao: "asia_pacific",
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beijing: "asia_pacific",
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wuhan: "asia_pacific",
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};
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@@ -715,6 +715,24 @@ CITY_REGISTRY = {
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"distance_km": 28.0,
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"warning": "市场现按 Wunderground 广州白云国际机场站整度°C口径结算；珠三角海陆风与午后对流会让峰值兑现时间出现摇摆。",
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},
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"qingdao": {
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"name": "Qingdao",
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"lat": 36.3620,
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"lon": 120.0882,
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"icao": "ZSQD",
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"settlement_source": "wunderground",
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"settlement_station_code": "ZSQD",
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"settlement_station_label": "Qingdao Jiaodong International Airport Station",
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"settlement_url": "https://www.wunderground.com/history/daily/cn/qingdao/ZSQD",
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"tz_offset": 28800,
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"use_fahrenheit": False,
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"is_major": True,
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"risk_level": "medium",
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"risk_emoji": "🟡",
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"airport_name": "青岛胶东国际机场",
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"distance_km": 39.0,
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"warning": "市场现按 Wunderground 青岛胶东国际机场站整度°C口径结算；沿海海风、低云和海雾会影响日内升温效率。",
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},
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"beijing": {
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"name": "Beijing",
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"lat": 40.0801,
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@@ -918,12 +936,17 @@ ALIASES = {
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"ckg": "chongqing", "cq": "chongqing",
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"szx": "shenzhen", "sz": "shenzhen",
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"can": "guangzhou", "gz": "guangzhou", "zggg": "guangzhou",
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"tao": "qingdao", "qdo": "qingdao", "qingdao": "qingdao", "zsqd": "qingdao",
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"pek": "beijing", "bjs": "beijing", "bj": "beijing",
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"wuh": "wuhan", "wh": "wuhan",
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"成都": "chengdu",
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"重庆": "chongqing",
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"深圳": "shenzhen",
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"广州": "guangzhou",
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"青岛": "qingdao",
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"青島": "qingdao",
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"青岛胶东": "qingdao",
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"青島膠東": "qingdao",
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"北京": "beijing",
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"武汉": "wuhan",
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}
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@@ -50,6 +50,7 @@ CITY_TIME_ZONES = {
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"new york": "America/New_York",
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"panama city": "America/Panama",
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"paris": "Europe/Paris",
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"qingdao": "Asia/Shanghai",
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"san francisco": "America/Los_Angeles",
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"sao paulo": "America/Sao_Paulo",
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"seattle": "America/Los_Angeles",
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@@ -13,6 +13,7 @@ CHINA_CMA_CITIES = {
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"chengdu",
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"chongqing",
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"guangzhou",
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"qingdao",
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"shanghai",
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"shenzhen",
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"wuhan",
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@@ -54,6 +54,7 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
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"chengdu": ["ZUUU", "ZUTF"],
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"chongqing": ["ZUCK", "ZUPS"],
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"guangzhou": ["ZGGG", "ZGSZ"],
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"qingdao": ["ZSQD"],
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"shenzhen": ["ZGSZ", "ZGGG"],
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"beijing": ["ZBAA", "ZBAD"],
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"wuhan": ["ZHHH", "ZHES"],
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@@ -600,6 +601,9 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
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"重庆": "Chongqing",
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"shenzhen": "Shenzhen",
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"深圳": "Shenzhen",
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"qingdao": "Qingdao",
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"青岛": "Qingdao",
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"青島": "Qingdao",
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"beijing": "Beijing",
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"北京": "Beijing",
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"wuhan": "Wuhan",
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@@ -21,6 +21,7 @@ DEFAULT_CITIES = [
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"beijing",
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"shenzhen",
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"guangzhou",
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"qingdao",
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"wuhan",
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"chengdu",
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"chongqing",
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@@ -17,17 +17,21 @@ class _DummyMetarSource(MetarSourceMixin):
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metar_fast_cache_ttl_sec = 60
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def test_new_south_asia_city_registry_entries_are_wired():
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def test_new_city_registry_entries_are_wired():
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assert CITY_REGISTRY["manila"]["settlement_source"] == "wunderground"
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assert CITY_REGISTRY["manila"]["settlement_station_code"] == "RPLL"
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assert CITY_REGISTRY["karachi"]["settlement_source"] == "wunderground"
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assert CITY_REGISTRY["karachi"]["settlement_station_code"] == "OPKC"
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assert CITY_REGISTRY["qingdao"]["settlement_source"] == "wunderground"
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assert CITY_REGISTRY["qingdao"]["settlement_station_code"] == "ZSQD"
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assert CITY_REGISTRY["masroor air base"]["icao"] == "OPMR"
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assert ALIASES["rpll"] == "manila"
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assert ALIASES["opkc"] == "karachi"
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assert ALIASES["zsqd"] == "qingdao"
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assert ALIASES["opmr"] == "masroor air base"
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assert CITIES["manila"]["lat"] == CITY_REGISTRY["manila"]["lat"]
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assert CITIES["karachi"]["lon"] == CITY_REGISTRY["karachi"]["lon"]
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assert CITIES["qingdao"]["lat"] == CITY_REGISTRY["qingdao"]["lat"]
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assert CITIES["masroor air base"]["settlement_source"] == "metar"
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@@ -38,6 +42,7 @@ def test_city_time_zone_mapping_covers_every_city_and_dst_offsets():
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april = datetime(2026, 4, 19, 6, 30, tzinfo=timezone.utc)
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assert get_city_utc_offset_seconds("guangzhou", april) == 28800
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assert get_city_utc_offset_seconds("qingdao", april) == 28800
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assert get_city_utc_offset_seconds("ankara", april) == 10800
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assert get_city_utc_offset_seconds("london", april) == 3600
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assert get_city_utc_offset_seconds("paris", april) == 7200
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@@ -590,6 +590,7 @@ def test_cities_endpoint_includes_new_wunderground_cities():
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names = {item["name"] for item in payload["cities"]}
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assert {
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"busan",
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"qingdao",
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"panama city",
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"kuala lumpur",
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"jakarta",
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@@ -93,6 +93,7 @@ DEFAULT_PREWARM_CITIES = [
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"beijing",
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"shenzhen",
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"guangzhou",
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"qingdao",
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"wuhan",
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"chengdu",
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"chongqing",
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@@ -116,6 +117,7 @@ ASIA_CORE_CITIES = [
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"shanghai",
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"beijing",
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"guangzhou",
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"qingdao",
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"shenzhen",
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"chongqing",
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"chengdu",
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