2569718930@qq.com
262 lines
9.3 KiB
Python
262 lines
9.3 KiB
Python
"""Independent high-frequency observation collector for the web runtime."""
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from __future__ import annotations
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import os
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import threading
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import time
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from dataclasses import dataclass
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from typing import Any, Callable, Iterable, List, Optional, Sequence, Tuple
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from loguru import logger
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from src.data_collection.amos_station_sources import AMOS_AIRPORT_CODES
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from src.data_collection.amsc_awos_sources import AMSC_AWOS_AIRPORTS
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from src.data_collection.city_registry import CITY_REGISTRY
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from src.data_collection.hko_obs_sources import HKO_STATIONS
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from src.database.runtime_state import ObservationCollectorStatusRepository
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def _env_bool(name: str, default: bool) -> bool:
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raw = os.getenv(name)
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if raw is None:
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return default
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return raw.strip().lower() in {"1", "true", "yes", "on"}
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def _env_int(name: str, default: int) -> int:
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raw = os.getenv(name)
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if raw is None:
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return default
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try:
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return int(raw)
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except Exception:
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return default
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def _normalized_cities(cities: Iterable[str]) -> Tuple[str, ...]:
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return tuple(sorted({str(city or "").strip().lower() for city in cities if str(city or "").strip()}))
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@dataclass(frozen=True)
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class ObservationSourceProfile:
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source: str
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cities: Tuple[str, ...]
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interval_sec: int
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class ObservationCollector:
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def __init__(
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self,
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*,
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weather: Any,
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profiles: Sequence[ObservationSourceProfile],
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cache_refresher: Optional[Callable[[str], Any]] = None,
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status_recorder: Optional[ObservationCollectorStatusRepository] = None,
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) -> None:
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self.weather = weather
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self.profiles = list(profiles)
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self.cache_refresher = cache_refresher
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self.status_recorder = status_recorder
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self._last_run_ts: dict[tuple[str, str], float] = {}
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self._lock = threading.Lock()
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def run_due_once(self, *, now_ts: Optional[float] = None) -> int:
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now = float(time.time() if now_ts is None else now_ts)
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due: List[tuple[ObservationSourceProfile, str]] = []
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with self._lock:
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for profile in self.profiles:
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interval = max(1, int(profile.interval_sec or 60))
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for city in profile.cities:
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key = (profile.source, city)
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last_ts = float(self._last_run_ts.get(key) or 0.0)
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if now - last_ts >= interval:
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self._last_run_ts[key] = now
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due.append((profile, city))
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completed = 0
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for profile, city in due:
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started_wall = time.time()
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started_ts = now if now_ts is not None else started_wall
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ok = False
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error: Optional[str] = None
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try:
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ok = self._collect_city_source(profile.source, city)
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if ok:
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completed += 1
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self._refresh_city_cache(city)
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else:
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error = "no_results"
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except Exception as exc:
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error = str(exc) or exc.__class__.__name__
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logger.warning(
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"observation collector source failed source={} city={}: {}",
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profile.source,
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city,
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exc,
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)
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finally:
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completed_ts = started_ts + max(0.0, time.time() - started_wall)
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self._record_source_status(
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profile=profile,
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city=city,
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due_ts=now,
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started_ts=started_ts,
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completed_ts=completed_ts,
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ok=ok,
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error=error,
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)
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return completed
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def _record_source_status(
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self,
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*,
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profile: ObservationSourceProfile,
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city: str,
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due_ts: float,
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started_ts: float,
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completed_ts: float,
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ok: bool,
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error: Optional[str],
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) -> None:
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if not self.status_recorder:
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return
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try:
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self.status_recorder.record_result(
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source=profile.source,
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city=city,
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interval_sec=profile.interval_sec,
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due_ts=due_ts,
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started_ts=started_ts,
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completed_ts=completed_ts,
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ok=ok,
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error=error,
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)
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except Exception as exc:
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logger.warning(
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"observation collector status write failed source={} city={}: {}",
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profile.source,
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city,
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exc,
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)
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def _collect_city_source(self, source: str, city: str) -> bool:
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normalized_source = str(source or "").strip().lower()
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normalized_city = str(city or "").strip().lower()
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if not normalized_source or not normalized_city:
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return False
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use_fahrenheit = bool(self.weather._uses_fahrenheit(normalized_city))
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results: dict[str, Any] = {}
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if normalized_source == "amsc_awos":
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self.weather._attach_china_amsc_awos_data(results, normalized_city, use_fahrenheit)
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elif normalized_source == "amos":
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self.weather._attach_korean_amos_data(results, normalized_city, use_fahrenheit)
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elif normalized_source == "madis_hfmetar":
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self.weather._attach_madis_hfmetar_data(results, normalized_city, use_fahrenheit)
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elif normalized_source == "hko_obs":
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self.weather._attach_hko_obs_official_nearby(results, normalized_city, use_fahrenheit)
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elif normalized_source == "cowin_obs":
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self.weather._attach_cowin_official_nearby(results, normalized_city, use_fahrenheit)
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else:
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logger.debug("observation collector skipped unknown source={}", normalized_source)
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return False
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return bool(results)
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def _refresh_city_cache(self, city: str) -> None:
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if not callable(self.cache_refresher):
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return
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try:
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self.cache_refresher(city)
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except Exception as exc:
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logger.warning("observation collector cache refresh failed city={}: {}", city, exc)
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def build_observation_source_profiles() -> List[ObservationSourceProfile]:
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us_madis_cities = [
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city
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for city, meta in CITY_REGISTRY.items()
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if str((meta or {}).get("icao") or "").strip().upper().startswith("K")
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]
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return [
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ObservationSourceProfile(
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source="amos",
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cities=_normalized_cities(AMOS_AIRPORT_CODES.keys()),
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interval_sec=max(30, _env_int("POLYWEATHER_OBSERVATION_COLLECTOR_AMOS_SEC", 60)),
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),
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ObservationSourceProfile(
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source="amsc_awos",
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cities=_normalized_cities(AMSC_AWOS_AIRPORTS.keys()),
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interval_sec=max(60, _env_int("POLYWEATHER_OBSERVATION_COLLECTOR_AMSC_SEC", 180)),
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),
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ObservationSourceProfile(
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source="madis_hfmetar",
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cities=_normalized_cities(us_madis_cities),
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interval_sec=max(60, _env_int("POLYWEATHER_OBSERVATION_COLLECTOR_MADIS_SEC", 300)),
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),
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ObservationSourceProfile(
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source="cowin_obs",
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cities=("hong kong",),
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interval_sec=max(30, _env_int("POLYWEATHER_OBSERVATION_COLLECTOR_COWIN_SEC", 60)),
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),
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ObservationSourceProfile(
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source="hko_obs",
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cities=_normalized_cities(HKO_STATIONS.keys()),
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interval_sec=max(60, _env_int("POLYWEATHER_OBSERVATION_COLLECTOR_HKO_SEC", 600)),
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),
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]
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_COLLECTOR_THREAD: Optional[threading.Thread] = None
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_COLLECTOR_LOCK = threading.Lock()
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def start_observation_collector_loop(
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*,
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weather: Any,
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cache_refresher: Optional[Callable[[str], Any]] = None,
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profiles: Optional[Sequence[ObservationSourceProfile]] = None,
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status_recorder: Optional[ObservationCollectorStatusRepository] = None,
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) -> Optional[threading.Thread]:
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if not _env_bool("POLYWEATHER_OBSERVATION_COLLECTOR_ENABLED", True):
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return None
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tick_sec = max(5, _env_int("POLYWEATHER_OBSERVATION_COLLECTOR_TICK_SEC", 30))
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initial_delay_sec = max(
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0,
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_env_int("POLYWEATHER_OBSERVATION_COLLECTOR_INITIAL_DELAY_SEC", 5),
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)
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selected_profiles = list(profiles or build_observation_source_profiles())
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collector = ObservationCollector(
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weather=weather,
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profiles=selected_profiles,
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cache_refresher=cache_refresher,
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status_recorder=status_recorder or ObservationCollectorStatusRepository(),
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)
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global _COLLECTOR_THREAD
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with _COLLECTOR_LOCK:
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if _COLLECTOR_THREAD is not None and _COLLECTOR_THREAD.is_alive():
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return _COLLECTOR_THREAD
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def _runner() -> None:
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logger.info(
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"observation collector started profiles={} tick_sec={}",
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len(selected_profiles),
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tick_sec,
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)
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if initial_delay_sec:
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time.sleep(initial_delay_sec)
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while True:
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started = time.time()
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collector.run_due_once(now_ts=started)
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elapsed = time.time() - started
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time.sleep(max(1.0, tick_sec - elapsed))
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_COLLECTOR_THREAD = threading.Thread(
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target=_runner,
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name="observation-collector",
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daemon=True,
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)
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_COLLECTOR_THREAD.start()
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return _COLLECTOR_THREAD
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