Avoid raw runway history rebuild on hot path
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@@ -161,6 +161,53 @@ def test_overlay_builds_amsc_runway_history_from_raw_store():
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]
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def test_overlay_skips_raw_store_when_runway_history_already_has_points():
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class FakeDB:
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def get_latest_raw_observation(self, source, city):
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assert (source, city) == ("amsc_awos", "chengdu")
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return {
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"observed_at": "2026-06-15T11:08:00+00:00",
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"station_code": "ZUUU",
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"payload": {
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"source": "amsc_awos",
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"icao": "ZUUU",
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"temp_c": 25.4,
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"observation_time": "2026-06-15T11:08:00+00:00",
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"runway_obs": {
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"point_temperatures": [
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{
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"runway": "02L/20R",
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"target_runway_max": 25.4,
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},
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],
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},
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},
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}
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def list_raw_observation_history(self, source, city, *, minutes=60, limit=1000):
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raise AssertionError("raw store history should not be read for populated runway history")
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result = overlay_latest_amsc_observation(
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FakeDB(),
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"chengdu",
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{
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"name": "chengdu",
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"temp_symbol": "°C",
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"runway_plate_history": {
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"02L/20R": [
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{"time": "2026-06-15T11:04:00+00:00", "temp": 25.6},
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{"time": "2026-06-15T11:06:00+00:00", "temp": 25.5},
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],
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},
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},
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)
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assert result["runway_plate_history"]["02L/20R"][-1] == {
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"time": "2026-06-15T11:08:00+00:00",
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"temp": 25.4,
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}
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def test_overlay_uses_latest_success_when_newer_status_row_has_no_observation():
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class FakeDB:
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def get_latest_raw_observation(self, source, city):
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@@ -313,6 +313,16 @@ def _append_amsc_runway_history_from_raw_store(
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city: str,
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payload: dict[str, Any],
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) -> bool:
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existing_history = payload.get("runway_plate_history")
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if isinstance(existing_history, dict):
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existing_points = [
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len(points)
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for points in existing_history.values()
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if isinstance(points, list)
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]
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if max(existing_points or [0]) > 1:
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return False
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lister = getattr(db, "list_raw_observation_history", None)
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if not callable(lister):
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return False
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@@ -321,7 +331,6 @@ def _append_amsc_runway_history_from_raw_store(
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except Exception as exc:
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logger.debug("latest AMSC raw history overlay skipped city={}: {}", city, exc)
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return False
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existing_history = payload.get("runway_plate_history")
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payload["runway_plate_history"] = deepcopy(existing_history) if isinstance(existing_history, dict) else {}
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changed = False
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for row in rows if isinstance(rows, list) else []:
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