Add sensor freshness checks
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@@ -13,10 +13,12 @@ from homeassistant.helpers.storage import Store
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from homeassistant.helpers.update_coordinator import DataUpdateCoordinator
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from .const import (
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CONF_ROOM_MAX_AGE, CONF_WEATHER_MAX_AGE,
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DOMAIN, CONF_CLIMATE, CONF_HEATER, CONF_ROOMS, CONF_WEIGHTS, WEATHER_SOURCES,
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CONF_HORIZON, CONF_MIN_ON, CONF_MIN_OFF, CONF_SWITCH_COST, CONF_HEAT_COST,
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CONF_BAND, DEFAULTS,
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)
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from .data_quality import freshness
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from .physics import Learner, optimize
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from .weather_sources import choose_weather_sources, sources_for, normalize
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@@ -61,14 +63,15 @@ class HeatingMPCCoordinator(DataUpdateCoordinator[dict[str, Any]]):
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self._on_samples = min(m.on_count for m in self.learners.values())
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self._off_samples = min(m.off_count for m in self.learners.values())
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def _value(self, entity_id: str, low: float, high: float) -> float | None:
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def _sensor_quality(self, entity_id: str, now: datetime, limit: float) -> dict:
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state = self.hass.states.get(entity_id)
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if state is None or state.state in ("unknown", "unavailable"):
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return None
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value = normalize("temperature", state.state, state.attributes.get("unit_of_measurement"))
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if value is None or not low <= value <= high:
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return None
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return value
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if state is None:
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return {"status": "missing", "age_seconds": None}
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if state.state in ("unknown", "unavailable"):
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return {"status": state.state, "age_seconds": None}
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# last_updated is a conservative compatibility fallback for older HA.
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return freshness(getattr(state, "last_reported", getattr(state, "last_updated", None)),
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now, limit * 60)
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async def _async_update_data(self) -> dict[str, Any]:
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now = datetime.now(timezone.utc)
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@@ -83,17 +86,41 @@ class HeatingMPCCoordinator(DataUpdateCoordinator[dict[str, Any]]):
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watched = set(self.rooms) | weather_entity_ids | {
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self.config[CONF_CLIMATE], self.config[CONF_HEATER]}
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snapshot = {entity: self.hass.states.get(entity) for entity in watched}
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weather_states = {
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entity_id: (state.state, state.attributes.get("unit_of_measurement"))
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for entity_id in weather_entity_ids
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if (state := self.hass.states.get(entity_id)) is not None
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}
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room_quality = {}
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temps = {}
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for room in self.rooms:
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quality = self._sensor_quality(room, now, self.config[CONF_ROOM_MAX_AGE])
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value = None
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if quality["status"] == "valid":
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state = snapshot[room]
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value = normalize("temperature", state.state, state.attributes.get("unit_of_measurement"))
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if value is None or not 0 <= value <= 45:
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quality["status"] = "invalid_value_or_unit"
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value = None
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room_quality[room] = quality
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temps[room] = value
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weather_states = {}
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weather_quality = {}
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for entity_id in weather_entity_ids:
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quality = self._sensor_quality(entity_id, now, self.config[CONF_WEATHER_MAX_AGE])
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weather_quality[entity_id] = quality
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if quality["status"] == "valid":
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state = snapshot[entity_id]
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weather_states[entity_id] = (state.state, state.attributes.get("unit_of_measurement"))
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weather, active_sources, weather_comparisons = choose_weather_sources(
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self.config, weather_states
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)
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metric_quality = {}
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for metric in WEATHER_SOURCES:
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metric_quality[metric] = {}
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for entity_id in sources_for(self.config, metric):
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quality = dict(weather_quality[entity_id])
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if quality["status"] == "valid" and entity_id not in weather_comparisons[metric]:
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quality["status"] = "invalid_value_or_unit"
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metric_quality[metric][entity_id] = quality
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outside = weather["temperature"]
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temps = {room: self._value(room, 0.0, 45.0) for room in self.rooms}
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status: dict[str, Any] = {
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"input_quality": {"rooms": room_quality, "weather": metric_quality},
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"status": "waiting_for_sensors", "proposal": None, "prediction_60m": {},
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"temperatures": {r: t for r, t in temps.items() if t is not None},
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"on_samples": self._on_samples, "off_samples": self._off_samples,
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