Keep unknown window states from passing as closed

Confirmed: when an open window's contact sensor became unknown or
unavailable, the tracker ended the ventilation event as a close at the
poll time, started recovery at full weight and forecasts assumed the
window closed. (Learning was already excluded for that zone.)

Each window is now OPEN, CLOSED or UNKNOWN with its last known state,
since when, and since when it is unknown:

- an unknown sensor keeps an open window's event (and the zone's
  "open" status) going; forecasts use the last known state;
- a close observed only after an outage is recorded as unconfirmed:
  closed=None with the reported time and a maximum duration; recovery
  is assumed from that report but not used for any learning;
- opening seen only after an outage starts an event without a
  temperature-before, so its recovery is not learned either;
- events count minutes with an unknown sensor; Status shows each
  window's last known state and unknown minutes;
- one unknown sensor only blocks learning for its own zone.

Predictions with an unavailable wind sensor now keep an open window's
natural ventilation (calm air) instead of dropping the term; learning
still refuses unknown inputs.

Regression tests for every OPEN/CLOSED/UNKNOWN transition, a six-hour
outage, multiple windows with one unknown, and missing wind during
ventilation.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
buzeraandClaude Opus 5.5 committed 2026-10-27 03:28:06 +02:00
1 parent 17dbe76223
commit 2bddc74d37
6 files changed
+236 -34

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@@ -190,6 +190,23 @@ def ventilation_vector(features: Iterable[str], temp: float, outside: float,
return values
def ventilation_vector_for_prediction(features: Iterable[str], temp: float, outside: float,
inputs: Mapping[str, Any]) -> list[float] | None:
"""Like ventilation_vector, but an unknown wind or gust counts as calm air.
For predictions only: an open window keeps its natural ventilation when the wind
sensor is unavailable, instead of silently being treated as closed. Learning
always uses ventilation_vector, which refuses unknown inputs.
"""
features = list(features)
x = ventilation_vector(features, temp, outside, inputs)
if x is None and inputs.get("opening") is not None:
x = ventilation_vector(features, temp, outside, {
**inputs, "wind": inputs.get("wind") or 0.0, "gust": inputs.get("gust") or inputs.get("wind") or 0.0,
"facing": inputs.get("facing") or 0.0})
return x
def _iso(timestamp: float) -> str:
return datetime.fromtimestamp(timestamp, timezone.utc).isoformat(timespec="seconds")
@@ -206,6 +223,9 @@ class VentilationTracker:
self._t_ref: dict[str, float | None] = {} # zone -> temperature before it opened
self._last_temps: dict[str, float | None] = {}
self._open_event: dict[str, dict[str, Any]] = {}
# window -> last known open/closed state, since when, and since when it is unknown.
self._memory: dict[str, dict[str, Any]] = {}
self._recovery_confirmed: dict[str, bool] = {}
saved = saved if isinstance(saved, Mapping) else {}
events = saved.get("events") if isinstance(saved.get("events"), list) else []
self.events: deque[dict[str, Any]] = deque(
@@ -215,7 +235,13 @@ class VentilationTracker:
def update(self, now: float, states: Mapping[str, tuple[str | None, float | None]],
temps: Mapping[str, float | None], weather: Mapping[str, float | None]) -> None:
"""One poll. `states`: window key -> (binary sensor state, last_changed timestamp)."""
"""One poll. `states`: window key -> (binary sensor state, last_changed timestamp).
Each window is OPEN, CLOSED or UNKNOWN (unknown/unavailable/missing). Unknown
never means closed: the last known state is kept, an open window's event
stays open, and a close that happened while the sensor was unknown is
recorded as unconfirmed.
"""
self.window_state = {}
zones: dict[str, dict[str, Any]] = {}
for window in self.windows:
@@ -228,9 +254,11 @@ class VentilationTracker:
if previous and changed is not None and 0 < now - previous[0] <= 900:
fraction = open_fraction(previous[1], is_open, changed, previous[0], now)
self._previous[window.key] = (now, is_open)
zone = zones.setdefault(window.zone, {"opening": 0.0, "facing_unit": 0.0, "known": True,
"open_now": False, "open_windows": [], "last_close": None,
"first_open": None})
memory = self._memory.setdefault(window.key, {"last_known": None, "since": None, "unknown_since": None})
zone = zones.setdefault(window.zone, {
"opening": 0.0, "facing_unit": 0.0, "known": True, "open_now": False, "possibly_open": False,
"open_windows": [], "last_close": None, "close_confirmed": True, "first_open": None,
"open_confirmed": True, "unknown_windows": []})
if fraction is None:
zone["known"] = False
else:
@@ -238,15 +266,31 @@ class VentilationTracker:
zone["facing_unit"] += window.opening * fraction * (
facing_cos(weather["wind_direction"], window.azimuth)
if weather.get("wind_direction") is not None else 0.0)
if is_open:
zone["open_now"] = True
zone["open_windows"].append(window.name)
if changed is not None:
zone["first_open"] = min(zone["first_open"] or changed, changed)
elif is_open is False and previous and changed is not None and changed > previous[0]:
zone["last_close"] = max(zone["last_close"] or 0.0, changed)
if is_open is None:
if memory["unknown_since"] is None:
memory["unknown_since"] = previous[0] if previous and previous[1] is not None else now
zone["unknown_windows"].append(window.name)
if memory["last_known"]:
zone["possibly_open"] = True # last seen open: still treated as open
else:
after_outage = memory["unknown_since"] is not None
if memory["last_known"] is not is_open:
memory["since"] = changed
if is_open and after_outage:
zone["open_confirmed"] = False # opened at some point during the outage
if is_open is False and memory["last_known"] and after_outage:
zone["close_confirmed"] = False # closed at some point during the outage
memory["last_known"], memory["unknown_since"] = is_open, None
if is_open:
zone["open_now"] = True
zone["open_windows"].append(window.name)
if changed is not None:
zone["first_open"] = min(zone["first_open"] or changed, changed)
elif previous and changed is not None and changed > previous[0]:
zone["last_close"] = max(zone["last_close"] or 0.0, changed)
self.window_state[window.key] = {
"open": is_open, "since": changed,
"open": is_open, "since": changed, "last_known_open": memory["last_known"],
"last_known_since": memory["since"], "unknown_since": memory["unknown_since"],
"relative_wind_direction": (round(angle_difference(weather["wind_direction"], window.azimuth), 1)
if weather.get("wind_direction") is not None else None)}
for key, zone in zones.items():
@@ -257,30 +301,46 @@ class VentilationTracker:
def _update_zone(self, now: float, key: str, zone: dict[str, Any], temp: float | None,
weather: Mapping[str, float | None], zones: Mapping[str, dict[str, Any]]) -> None:
was_open = key in self._open_event
ventilating = zone["open_now"] or zone["possibly_open"]
if zone["open_now"] and not was_open:
# Temperature at the previous poll approximates the room before ventilation.
self._t_ref[key] = self._last_temps.get(key)
self._closed_at.pop(key, None)
self._open_event[key] = {
"zone": key, "opened": _iso(min(zone["first_open"] or now, now)),
"temperature_before": self._t_ref[key],
"opened_confirmed": zone["open_confirmed"],
"temperature_before": self._t_ref[key] if zone["open_confirmed"] else None,
"outside": weather.get("temperature"), "wind": weather.get("wind"),
"wind_direction": weather.get("wind_direction"), "wind_gust": weather.get("wind_gust"),
"windows": list(zone["open_windows"]),
"other_open_windows": [n for k, z in zones.items() if k != key for n in z["open_windows"]],
"lowest_temperature": temp,
"lowest_temperature": temp, "sensor_unknown_minutes": 0.0,
}
elif zone["open_now"] and temp is not None:
if not zone["open_confirmed"]:
self._t_ref[key] = None # the room may already have cooled before we saw it
elif ventilating and was_open:
event = self._open_event[key]
event["lowest_temperature"] = min(t for t in (event["lowest_temperature"], temp) if t is not None)
elif was_open and not zone["open_now"]:
if temp is not None:
event["lowest_temperature"] = min(t for t in (event["lowest_temperature"], temp) if t is not None)
if zone["unknown_windows"]:
event["sensor_unknown_minutes"] = round(event["sensor_unknown_minutes"] + 5.0, 1)
elif was_open and not ventilating:
event = self._open_event.pop(key)
closed = zone["last_close"] or now
if zone["close_confirmed"]:
closed = zone["last_close"] or now
event.update(closed=_iso(closed), closed_confirmed=True,
duration_minutes=round((closed - _parse(event["opened"])) / 60, 1))
else:
# Closed while the sensor was unknown: no confirmed time, only a range.
closed = now
event.update(closed=None, closed_confirmed=False, closed_reported=_iso(now),
duration_minutes=None,
duration_max_minutes=round((now - _parse(event["opened"])) / 60, 1))
self._closed_at[key] = closed
event.update(closed=_iso(closed), duration_minutes=round((closed - _parse(event["opened"])) / 60, 1),
temperature_at_close=temp)
self._recovery_confirmed[key] = zone["close_confirmed"] and event.get("opened_confirmed", True)
event["temperature_at_close"] = temp
self.events.append(event)
elif not zone["open_now"] and key in self._closed_at and temp is not None:
elif not ventilating and key in self._closed_at and temp is not None:
# Fill in the temperature half an hour after closing, for recovery review.
for event in reversed(self.events):
if event.get("zone") == key and "temperature_after" not in event:
@@ -289,36 +349,46 @@ class VentilationTracker:
event["temperature_after_minutes"] = EVENT_AFTER_MINUTES
break
closed = self._closed_at.get(key)
recovery = exp(-(now - closed) / self.tau) if closed is not None and not zone["open_now"] else 0.0
recovery = exp(-(now - closed) / self.tau) if closed is not None and not ventilating else 0.0
if recovery < RECOVERY_THRESHOLD:
recovery = 0.0
zone.update(recovery=recovery, t_ref=self._t_ref.get(key),
recovery_confirmed=self._recovery_confirmed.get(key, True),
other_opening=sum(z["opening"] for k, z in zones.items() if k != key and z["known"]))
# Learning of the closed-window model is unsafe while anything ventilation-related goes on.
zone["affected"] = (not zone["known"]) or zone["opening"] > 0 or zone["open_now"] or recovery > 0
zone["affected"] = (not zone["known"]) or zone["opening"] > 0 or ventilating or recovery > 0
def zone_inputs(self, key: str, weather: Mapping[str, float | None]) -> dict[str, Any] | None:
"""Ventilation inputs of the interval that just ended; None for zones without windows."""
"""Ventilation inputs of the interval that just ended; None for zones without windows.
`known` is False while a window state is unknown, and during a recovery whose
start is not confirmed: those intervals are not used for any learning.
"""
zone = self.zone_state.get(key)
if zone is None:
return None
return {"opening": zone["opening"] if zone["known"] else None, "facing": zone["facing_unit"],
known = zone["known"] and (zone["recovery"] == 0 or zone["recovery_confirmed"])
return {"opening": zone["opening"] if known else None, "facing": zone["facing_unit"],
"other_opening": zone["other_opening"], "recovery": zone["recovery"],
"t_ref": zone["t_ref"], "wind": weather.get("wind"), "gust": weather.get("wind_gust"),
"affected": zone["affected"], "known": zone["known"]}
"affected": zone["affected"], "known": known,
"unknown_windows": list(zone["unknown_windows"])}
def forecast(self, key: str, steps: int, open_minutes: float, weather: Mapping[str, float | None],
now: float) -> list[dict[str, Any]]:
"""Assumed ventilation inputs per forecast step.
Windows open now are assumed to close after `open_minutes` (at least one
step); after that the zone recovers. Weather is held at current values.
Windows open now (or unknown but last seen open) are assumed to close after
`open_minutes` (at least one step); after that the zone recovers. Weather
is held at current values.
"""
zone = self.zone_state.get(key)
if zone is None:
return [{} for _ in range(steps)]
windows = [w for w in self.windows if w.zone == key and w.enabled
and self.window_state.get(w.key, {}).get("open")]
and (self.window_state.get(w.key, {}).get("open")
or (self.window_state.get(w.key, {}).get("open") is None
and self.window_state.get(w.key, {}).get("last_known_open")))]
opening = sum(w.opening for w in windows)
facing = sum(w.opening * facing_cos(weather["wind_direction"], w.azimuth) for w in windows) \
if weather.get("wind_direction") is not None else 0.0