Confirmed: the check run after the optimizer compared only zone sensors, outdoor temperature, thermostat and relay. A window opening, a UPS load change or a wind change during the calculation went unnoticed; nothing prevented an older update that finished late from overwriting a newer result; and an update in flight during unload still saved. - Every input a prediction uses is captured as a normalized snapshot (zone and outdoor temperatures, wind speed/direction/gust, heat-source power, window states, relay state and switch time, thermostat mode and target) and compared after the calculation with tolerances (0.25 °C, 50 W, 1 m/s, 2 m/s gusts, 20° direction around the circle; exact for relay, thermostat and windows). A meaningful change discards the plan and lists the inputs in changed_inputs; noise does not. No immediate recalculation: an off-schedule poll would break the 5-minute learning interval; the next regular poll computes a fresh plan. - Updates are numbered; one overtaken by a newer update, or running when the entry unloads, keeps the newer data and skips saving and optimizing. Configuration changes reload the entry, so they are covered. - A per-entry storage lock makes a reloaded coordinator restore only after the previous one's save finished, and integration removal waits for it too, so a late save cannot recreate a deleted model file. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
114 lines
5.3 KiB
Python
114 lines
5.3 KiB
Python
"""Heating MPC custom integration, initial release shadow-only."""
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from __future__ import annotations
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from types import MappingProxyType
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from homeassistant.const import Platform
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from homeassistant.config_entries import ConfigEntry, ConfigSubentry
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from homeassistant.core import HomeAssistant
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from homeassistant.helpers.storage import Store
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from homeassistant.helpers import entity_registry as er
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from homeassistant.helpers.event import async_track_state_change_event
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from .const import CONF_HEATER, CONF_ROOMS, CONF_WEIGHTS, DOMAIN, CONF_OUTSIDE, WEATHER_SOURCES
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from .weather_sources import sources_for
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from .coordinator import HeatingMPCCoordinator, storage_lock
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from .zones import SUBENTRY_ZONE, ZONE_KEY, ZONE_NAME, legacy_zone_data
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PLATFORMS: list[Platform] = [Platform.SENSOR, Platform.BINARY_SENSOR]
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async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
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coordinator = HeatingMPCCoordinator(hass, entry)
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await coordinator.async_restore_model()
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# Read-only: timestamps relay changes between polls for the radiator-lag estimate.
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unsub_relay = async_track_state_change_event(
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hass, [coordinator.config[CONF_HEATER]], coordinator.async_relay_changed)
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try:
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await coordinator.async_config_entry_first_refresh()
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hass.data.setdefault(DOMAIN, {})[entry.entry_id] = coordinator
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await hass.config_entries.async_forward_entry_setups(entry, PLATFORMS)
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except BaseException:
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# HA skips unload callbacks for unexpected setup errors, so clean up here.
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unsub_relay()
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hass.data.get(DOMAIN, {}).pop(entry.entry_id, None)
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raise
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entry.async_on_unload(unsub_relay)
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# Remove only obsolete zone forecasts belonging to this entry/platform. Zones
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# deleted in the UI are also removed by HA through their subentry link.
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registry = er.async_get(hass)
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expected = {f"{entry.entry_id}_{zone}_predicted_60min" for zone in coordinator.rooms}
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for entity in er.async_entries_for_config_entry(registry, entry.entry_id):
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if (entity.platform == DOMAIN and
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entity.unique_id.startswith(f"{entry.entry_id}_") and
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entity.unique_id.endswith("_predicted_60min") and
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entity.unique_id not in expected):
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registry.async_remove(entity.entity_id)
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entry.async_on_unload(entry.add_update_listener(async_reload_entry))
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return True
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async def async_reload_entry(hass: HomeAssistant, entry: ConfigEntry) -> None:
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await hass.config_entries.async_reload(entry.entry_id)
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async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
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ok = await hass.config_entries.async_unload_platforms(entry, PLATFORMS)
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if ok:
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hass.data[DOMAIN].pop(entry.entry_id, None)
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return ok
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async def async_remove_entry(hass: HomeAssistant, entry: ConfigEntry) -> None:
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"""Remove the learned model when this integration instance is deleted."""
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store = Store(hass, 1, f"{DOMAIN}.{entry.entry_id}")
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# Wait for a save still in progress, which would otherwise recreate the file.
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async with storage_lock(hass, entry.entry_id):
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await store.async_remove()
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hass.data.get(f"{DOMAIN}_storage_locks", {}).pop(entry.entry_id, None)
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async def async_migrate_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
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"""Migrate older entries without changing the user's selections.
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1 -> 2: single outdoor sensor becomes a prioritized source list.
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2 -> 3: each room sensor becomes a one-sensor zone subentry with its comfort
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weight. Its entity ID stays the zone key, so learned models, forecast entities
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and accuracy statistics carry over. Older versions cannot load version 3.
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"""
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if entry.version > 3:
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return False
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if entry.version == 1:
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def migrate(config):
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result = dict(config)
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if CONF_OUTSIDE in result:
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result[WEATHER_SOURCES["temperature"]] = sources_for(result, "temperature")
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result.pop(CONF_OUTSIDE)
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return result
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hass.config_entries.async_update_entry(
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entry, data=migrate(entry.data), options=migrate(entry.options),
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version=2, minor_version=1,
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)
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if entry.version == 2:
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config = {**entry.data, **entry.options}
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rooms = [room for room in config.get(CONF_ROOMS, []) if isinstance(room, str)]
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registry = er.async_get(hass)
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names = {}
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for room in rooms:
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state, registered = hass.states.get(room), registry.async_get(room)
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names[room] = ((state.name if state else None)
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or (registered.name or registered.original_name if registered else None)
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or room)
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existing = {sub.unique_id for sub in entry.subentries.values()}
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for data in legacy_zone_data(rooms, config.get(CONF_WEIGHTS), names):
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if data[ZONE_KEY] not in existing:
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hass.config_entries.async_add_subentry(entry, ConfigSubentry(
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data=MappingProxyType(data), subentry_type=SUBENTRY_ZONE,
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title=data[ZONE_NAME], unique_id=data[ZONE_KEY]))
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def strip(config):
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return {k: v for k, v in config.items() if k not in (CONF_ROOMS, CONF_WEIGHTS)}
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hass.config_entries.async_update_entry(
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entry, data=strip(entry.data), options=strip(entry.options), version=3, minor_version=1)
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return True
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