接入香港天文台 HKO + 流浮山 LFS 1分钟实时温度

HKO 公共天气 API 免费无注册，提供 1 分钟温度 CSV。
两个站点加入高频推送，与首尔/釜山同级。

Station: HK Observatory (HKO) 27.0°C, Lau Fau Shan (LFS) 25.9°C
Interval: 60s

Tested: pytest 176 passed, HKO API 实测通过

src/analysis/market_alert_engine.py

@@ -813,7 +813,7 @@ def _build_advice_cn(
     return "，".join(parts) + "。"
 
 
-_AIRPORT_ICAO_MAP = {"seoul": "RKSI", "busan": "RKPK", "tokyo": "RJTT", "ankara": "17128", "helsinki": "EFHK", "amsterdam": "EHAM", "istanbul": "17058", "paris": "LFPB"}
+_AIRPORT_ICAO_MAP = {"seoul": "RKSI", "busan": "RKPK", "tokyo": "RJTT", "ankara": "17128", "helsinki": "EFHK", "amsterdam": "EHAM", "istanbul": "17058", "paris": "LFPB", "hong kong": "HKO", "lau fau shan": "LFS"}
 
 
 def _calc_airport_rapid_temp_change(

src/bot/runtime_coordinator.py

@@ -190,7 +190,7 @@ class StartupCoordinator:
         details = {
             "mode": "airport-periodic",
             "interval_sec": interval,
-            "cities": ["seoul", "busan", "tokyo", "ankara", "helsinki", "amsterdam", "istanbul", "paris"],
+            "cities": ["seoul", "busan", "tokyo", "ankara", "helsinki", "amsterdam", "istanbul", "paris", "hong kong", "lau fau shan"],
             "chat_targets": len(chat_ids),
             "window": "DEB proximity ≤3°C",
         }

src/data_collection/hko_obs_sources.py

@@ -0,0 +1,148 @@
+"""HKO (Hong Kong Observatory) 1-minute real-time data source.
+
+Fetches 1-minute temperature from HKO's public regional-weather API
+for Hong Kong Observatory (HKO) and Lau Fau Shan (LFS) stations.
+No API key required.
+"""
+
+from __future__ import annotations
+
+import csv
+import io
+import time
+from datetime import datetime
+from typing import Any, Dict, Optional
+
+from loguru import logger
+
+from src.utils.metrics import record_source_call
+
+HKO_BASE_URL = "https://data.weather.gov.hk/weatherAPI/hko_data/regional-weather"
+HKO_STATIONS = {
+    "hong kong": {
+        "code": "HK Observatory",
+        "icao": "HKO",
+        "label": "HK Observatory 1min (HKO)",
+    },
+    "lau fau shan": {
+        "code": "Lau Fau Shan",
+        "icao": "LFS",
+        "label": "Lau Fau Shan 1min (HKO)",
+    },
+}
+
+
+class HkoObsSourceMixin:
+    def _hko_http_get(self, url: str) -> str:
+        getter = getattr(self, "_http_get", None)
+        if callable(getter):
+            resp = getter(url)
+            return resp.text if hasattr(resp, "text") else resp
+        resp = self.session.get(url, timeout=self.timeout)
+        resp.raise_for_status()
+        return resp.text
+
+    def fetch_hko_obs_current(
+        self,
+        city: str,
+        use_fahrenheit: bool = False,
+    ) -> Optional[Dict[str, Any]]:
+        started = time.perf_counter()
+        city_key = str(city or "").strip().lower()
+        meta = HKO_STATIONS.get(city_key) or {}
+        if not meta:
+            return None
+
+        cache_key = f"hko_obs:{city_key}:{use_fahrenheit}"
+        now_ts = time.time()
+        with self._hko_obs_cache_lock:
+            cached = self._hko_obs_cache.get(cache_key)
+            if cached and now_ts - cached["t"] < self.hko_obs_cache_ttl_sec:
+                record_source_call("hko_obs", "current", "cache_hit",
+                                   (time.perf_counter() - started) * 1000.0)
+                return cached["d"]
+
+        try:
+            csv_text = self._hko_http_get(
+                f"{HKO_BASE_URL}/latest_1min_temperature.csv"
+            )
+            reader = csv.DictReader(io.StringIO(csv_text))
+            temp_c = None
+            obs_time = None
+            for row in reader:
+                if row.get("Automatic Weather Station", "").strip() == meta["code"]:
+                    try:
+                        temp_c = float(row["Air Temperature(degree Celsius)"])
+                    except (ValueError, TypeError):
+                        pass
+                    obs_time = row.get("Date time", "")[:12]
+                    break
+
+            if temp_c is None:
+                record_source_call("hko_obs", "current", "no_temperature",
+                                   (time.perf_counter() - started) * 1000.0)
+                return None
+
+            temp = round(temp_c * 9 / 5 + 32, 1) if use_fahrenheit else round(temp_c, 1)
+            obs_iso = None
+            if obs_time and len(obs_time) == 12:
+                try:
+                    dt = datetime.strptime(obs_time, "%Y%m%d%H%M")
+                    obs_iso = dt.isoformat()
+                except Exception:
+                    obs_iso = obs_time
+
+            result = {
+                "source": "hko_obs",
+                "timestamp": datetime.utcnow().isoformat(),
+                "station_code": meta["code"],
+                "station_name": meta["label"],
+                "icao": meta["icao"],
+                "obs_time": obs_iso or datetime.utcnow().isoformat(),
+                "current": {
+                    "temp": temp,
+                },
+                "temp_c": temp_c,
+            }
+
+            with self._hko_obs_cache_lock:
+                self._hko_obs_cache[cache_key] = {"d": result, "t": now_ts}
+            record_source_call("hko_obs", "current", "success",
+                               (time.perf_counter() - started) * 1000.0)
+            return result
+
+        except Exception as exc:
+            logger.warning("HKO obs fetch failed city={} error={}", city_key, exc)
+            with self._hko_obs_cache_lock:
+                stale = self._hko_obs_cache.get(cache_key)
+                if stale:
+                    record_source_call("hko_obs", "current", "stale_cache",
+                                       (time.perf_counter() - started) * 1000.0)
+                    return stale["d"]
+            record_source_call("hko_obs", "current", "error",
+                               (time.perf_counter() - started) * 1000.0)
+            return None
+
+    def fetch_hko_obs_official_nearby(
+        self,
+        city: str,
+        use_fahrenheit: bool = False,
+    ) -> list[Dict[str, Any]]:
+        current = self.fetch_hko_obs_current(city, use_fahrenheit=use_fahrenheit)
+        if not current:
+            return []
+        meta = HKO_STATIONS.get(str(city or "").strip().lower()) or {}
+        return [
+            {
+                "name": meta.get("label") or "HKO Station",
+                "station_label": meta.get("label"),
+                "lat": 22.3020,
+                "lon": 114.1743,
+                "temp": (current.get("current") or {}).get("temp"),
+                "icao": meta.get("icao"),
+                "istNo": meta.get("icao"),
+                "source": "hko_obs",
+                "source_label": "HKO",
+                "obs_time": current.get("obs_time"),
+            }
+        ]

src/data_collection/weather_sources.py

@@ -17,10 +17,11 @@ from src.data_collection.nws_open_meteo_sources import NwsOpenMeteoSourceMixin
 from src.data_collection.amos_station_sources import AmosStationSourceMixin
 from src.data_collection.fmi_sources import FmiSourceMixin
 from src.data_collection.knmi_sources import KnmiSourceMixin
+from src.data_collection.hko_obs_sources import HkoObsSourceMixin
 from src.database.db_manager import DBManager
 
 
-class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSourceMixin, MgmSourceMixin, JmaAmedasSourceMixin, RussiaStationSourceMixin, NmcSourceMixin, NwsOpenMeteoSourceMixin, AmosStationSourceMixin, FmiSourceMixin, KnmiSourceMixin):
+class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSourceMixin, MgmSourceMixin, JmaAmedasSourceMixin, RussiaStationSourceMixin, NmcSourceMixin, NwsOpenMeteoSourceMixin, AmosStationSourceMixin, FmiSourceMixin, KnmiSourceMixin, HkoObsSourceMixin):
     """
     Multi-source weather data collector
 
@@ -233,6 +234,11 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
         )
         self._knmi_cache: Dict[str, Dict] = {}
         self._knmi_cache_lock = threading.Lock()
+        self.hko_obs_cache_ttl_sec = int(
+            os.getenv("HKO_OBS_CACHE_TTL_SEC", "60")
+        )
+        self._hko_obs_cache: Dict[str, Dict] = {}
+        self._hko_obs_cache_lock = threading.Lock()
         self.cwa_open_data_auth = (
             os.getenv("CWA_OPEN_DATA_AUTH")
             or os.getenv("CWA_OPEN_DATA_API_KEY")
@@ -745,6 +751,8 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
             self._fmi_cache.pop(f"fmi:{normalized}:{use_fahrenheit}", None)
         with self._knmi_cache_lock:
             self._knmi_cache.pop(f"knmi:{normalized}:{use_fahrenheit}", None)
+        with self._hko_obs_cache_lock:
+            self._hko_obs_cache.pop(f"hko_obs:{normalized}:{use_fahrenheit}", None)
         with self._nmc_cache_lock:
             self._nmc_cache.pop(f"{normalized}:{use_fahrenheit}", None)
         with self._ru_station_cache_lock:
@@ -958,6 +966,31 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
         except Exception:
             logger.exception("airport_obs_log append failed for fmi city={}", city_lower)
 
+    def _attach_hko_obs_official_nearby(
+        self, results: Dict, city_lower: str, use_fahrenheit: bool
+    ) -> None:
+        if city_lower not in ("hong kong", "lau fau shan"):
+            return
+        rows = self.fetch_hko_obs_official_nearby(
+            city_lower, use_fahrenheit=use_fahrenheit
+        )
+        if not rows:
+            return
+        results["hko_obs_nearby"] = rows
+        if "mgm_nearby" not in results:
+            results["mgm_nearby"] = rows
+        results["nearby_source"] = "hko_obs"
+        try:
+            row = rows[0] if rows else {}
+            DBManager().append_airport_obs(
+                icao=str(row.get("icao") or "HKO"),
+                city=city_lower,
+                temp_c=row.get("temp"),
+                obs_time=str(row.get("obs_time") or datetime.now().isoformat()),
+            )
+        except Exception:
+            logger.exception("airport_obs_log append failed for hko_obs city={}", city_lower)
+
     def _attach_korean_amos_data(
         self, results: Dict, city_lower: str, use_fahrenheit: bool
     ) -> None:
@@ -1120,6 +1153,7 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
                     self._attach_japan_official_nearby(results, city_lower, use_fahrenheit)
                     self._attach_fmi_official_nearby(results, city_lower, use_fahrenheit)
                     self._attach_knmi_official_nearby(results, city_lower, use_fahrenheit)
+                    self._attach_hko_obs_official_nearby(results, city_lower, use_fahrenheit)
                     self._attach_russia_official_nearby(results, city_lower, use_fahrenheit)
                     if city_lower == "warsaw":
                         self._attach_warsaw_official_nearby(results, use_fahrenheit)
@@ -1164,6 +1198,7 @@ class WeatherDataCollector(OpenMeteoCacheMixin, SettlementSourceMixin, MetarSour
                     self._attach_japan_official_nearby(results, city_lower, use_fahrenheit)
                     self._attach_fmi_official_nearby(results, city_lower, use_fahrenheit)
                     self._attach_knmi_official_nearby(results, city_lower, use_fahrenheit)
+                    self._attach_hko_obs_official_nearby(results, city_lower, use_fahrenheit)
                     self._attach_russia_official_nearby(results, city_lower, use_fahrenheit)
                     if city_lower == "warsaw":
                         self._attach_warsaw_official_nearby(results, use_fahrenheit)

src/utils/telegram_push.py

@@ -690,8 +690,8 @@ def start_trade_alert_push_loop(bot: Any, config: Dict[str, Any]) -> Optional[th
 
 # ── high-freq airport push loop ──
 
-HIGH_FREQ_AIRPORT_CITIES = {"seoul", "busan", "tokyo", "ankara", "helsinki", "amsterdam", "istanbul", "paris"}
-HIGH_FREQ_AIRPORT_ICAO = {"seoul": "RKSI", "busan": "RKPK", "tokyo": "RJTT", "ankara": "17128", "helsinki": "EFHK", "amsterdam": "EHAM", "istanbul": "17058", "paris": "LFPB"}
+HIGH_FREQ_AIRPORT_CITIES = {"seoul", "busan", "tokyo", "ankara", "helsinki", "amsterdam", "istanbul", "paris", "hong kong", "lau fau shan"}
+HIGH_FREQ_AIRPORT_ICAO = {"seoul": "RKSI", "busan": "RKPK", "tokyo": "RJTT", "ankara": "17128", "helsinki": "EFHK", "amsterdam": "EHAM", "istanbul": "17058", "paris": "LFPB", "hong kong": "HKO", "lau fau shan": "LFS"}
 
 _AIRPORT_PUSH_STATE_PATH = os.path.join(
     os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
@@ -751,7 +751,8 @@ def _build_airport_status_message(
 ) -> str:
     _AIRPORT_EN = {"seoul": "Incheon", "busan": "Gimhae", "tokyo": "Haneda",
                    "ankara": "Esenboğa", "helsinki": "Vantaa", "amsterdam": "Schiphol",
-                   "istanbul": "Airport", "paris": "Le Bourget"}
+                   "istanbul": "Airport", "paris": "Le Bourget",
+                   "hong kong": "Observatory", "lau fau shan": "Lau Fau Shan"}
     en_name = city.title()
     ap_name = _AIRPORT_EN.get(city, "")
     time_suffix = f" {local_time}" if local_time else ""
@@ -816,7 +817,9 @@ _AIRPORT_PUSH_INTERVAL = {
     "helsinki": 600,   # FMI 10-min
     "amsterdam": 600,  # KNMI 10-min
     "istanbul": 600,   # MGM ~10-min
-    "paris": 900,      # AROME HD 15-min model
+    "paris": 900,        # AROME HD 15-min model
+    "hong kong": 60,     # HKO 1-min
+    "lau fau shan": 60,  # HKO 1-min
 }
 _DEB_PROXIMITY_THRESHOLD_C = 3.0