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Add last_reported to state reported event data (#148932)
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277241c4d3
commit
1743766d17
@ -320,7 +320,12 @@ class DerivativeSensor(RestoreSensor, SensorEntity):
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# changed state, then we know it will still be zero.
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return
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schedule_max_sub_interval_exceeded(new_state)
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calc_derivative(new_state, new_state.state, event.data["old_last_reported"])
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calc_derivative(
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new_state,
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new_state.state,
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event.data["last_reported"],
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event.data["old_last_reported"],
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)
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@callback
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def on_state_changed(event: Event[EventStateChangedData]) -> None:
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@ -334,19 +339,27 @@ class DerivativeSensor(RestoreSensor, SensorEntity):
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schedule_max_sub_interval_exceeded(new_state)
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old_state = event.data["old_state"]
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if old_state is not None:
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calc_derivative(new_state, old_state.state, old_state.last_reported)
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calc_derivative(
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new_state,
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old_state.state,
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new_state.last_updated,
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old_state.last_reported,
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)
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else:
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# On first state change from none, update availability
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self.async_write_ha_state()
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def calc_derivative(
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new_state: State, old_value: str, old_last_reported: datetime
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new_state: State,
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old_value: str,
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new_timestamp: datetime,
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old_timestamp: datetime,
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) -> None:
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"""Handle the sensor state changes."""
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if not _is_decimal_state(old_value):
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if self._last_valid_state_time:
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old_value = self._last_valid_state_time[0]
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old_last_reported = self._last_valid_state_time[1]
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old_timestamp = self._last_valid_state_time[1]
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else:
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# Sensor becomes valid for the first time, just keep the restored value
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self.async_write_ha_state()
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@ -358,12 +371,10 @@ class DerivativeSensor(RestoreSensor, SensorEntity):
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"" if unit is None else unit
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)
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self._prune_state_list(new_state.last_reported)
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self._prune_state_list(new_timestamp)
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try:
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elapsed_time = (
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new_state.last_reported - old_last_reported
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).total_seconds()
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elapsed_time = (new_timestamp - old_timestamp).total_seconds()
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delta_value = Decimal(new_state.state) - Decimal(old_value)
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new_derivative = (
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delta_value
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@ -392,12 +403,10 @@ class DerivativeSensor(RestoreSensor, SensorEntity):
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return
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# add latest derivative to the window list
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self._state_list.append(
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(old_last_reported, new_state.last_reported, new_derivative)
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)
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self._state_list.append((old_timestamp, new_timestamp, new_derivative))
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self._last_valid_state_time = (
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new_state.state,
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new_state.last_reported,
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new_timestamp,
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)
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# If outside of time window just report derivative (is the same as modeling it in the window),
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@ -405,9 +414,7 @@ class DerivativeSensor(RestoreSensor, SensorEntity):
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if elapsed_time > self._time_window:
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derivative = new_derivative
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else:
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derivative = self._calc_derivative_from_state_list(
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new_state.last_reported
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)
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derivative = self._calc_derivative_from_state_list(new_timestamp)
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self._write_native_value(derivative)
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source_state = self.hass.states.get(self._sensor_source_id)
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@ -463,7 +463,7 @@ class IntegrationSensor(RestoreSensor):
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) -> None:
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"""Handle sensor state update when sub interval is configured."""
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self._integrate_on_state_update_with_max_sub_interval(
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None, event.data["old_state"], event.data["new_state"]
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None, None, event.data["old_state"], event.data["new_state"]
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)
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@callback
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@ -472,13 +472,17 @@ class IntegrationSensor(RestoreSensor):
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) -> None:
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"""Handle sensor state report when sub interval is configured."""
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self._integrate_on_state_update_with_max_sub_interval(
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event.data["old_last_reported"], None, event.data["new_state"]
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event.data["old_last_reported"],
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event.data["last_reported"],
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None,
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event.data["new_state"],
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)
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@callback
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def _integrate_on_state_update_with_max_sub_interval(
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self,
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old_last_reported: datetime | None,
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old_timestamp: datetime | None,
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new_timestamp: datetime | None,
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old_state: State | None,
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new_state: State | None,
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) -> None:
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@ -489,7 +493,9 @@ class IntegrationSensor(RestoreSensor):
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"""
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self._cancel_max_sub_interval_exceeded_callback()
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try:
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self._integrate_on_state_change(old_last_reported, old_state, new_state)
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self._integrate_on_state_change(
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old_timestamp, new_timestamp, old_state, new_state
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)
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self._last_integration_trigger = _IntegrationTrigger.StateEvent
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self._last_integration_time = datetime.now(tz=UTC)
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finally:
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@ -503,7 +509,7 @@ class IntegrationSensor(RestoreSensor):
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) -> None:
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"""Handle sensor state change."""
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return self._integrate_on_state_change(
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None, event.data["old_state"], event.data["new_state"]
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None, None, event.data["old_state"], event.data["new_state"]
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)
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@callback
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@ -512,12 +518,16 @@ class IntegrationSensor(RestoreSensor):
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) -> None:
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"""Handle sensor state report."""
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return self._integrate_on_state_change(
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event.data["old_last_reported"], None, event.data["new_state"]
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event.data["old_last_reported"],
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event.data["last_reported"],
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None,
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event.data["new_state"],
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)
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def _integrate_on_state_change(
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self,
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old_last_reported: datetime | None,
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old_timestamp: datetime | None,
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new_timestamp: datetime | None,
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old_state: State | None,
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new_state: State | None,
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) -> None:
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@ -531,16 +541,17 @@ class IntegrationSensor(RestoreSensor):
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if old_state:
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# state has changed, we recover old_state from the event
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new_timestamp = new_state.last_updated
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old_state_state = old_state.state
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old_last_reported = old_state.last_reported
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old_timestamp = old_state.last_reported
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else:
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# event state reported without any state change
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# first state or event state reported without any state change
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old_state_state = new_state.state
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self._attr_available = True
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self._derive_and_set_attributes_from_state(new_state)
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if old_last_reported is None and old_state is None:
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if old_timestamp is None and old_state is None:
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self.async_write_ha_state()
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return
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@ -551,11 +562,12 @@ class IntegrationSensor(RestoreSensor):
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return
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if TYPE_CHECKING:
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assert old_last_reported is not None
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assert new_timestamp is not None
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assert old_timestamp is not None
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elapsed_seconds = Decimal(
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(new_state.last_reported - old_last_reported).total_seconds()
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(new_timestamp - old_timestamp).total_seconds()
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if self._last_integration_trigger == _IntegrationTrigger.StateEvent
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else (new_state.last_reported - self._last_integration_time).total_seconds()
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else (new_timestamp - self._last_integration_time).total_seconds()
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)
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area = self._method.calculate_area_with_two_states(elapsed_seconds, *states)
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@ -727,12 +727,11 @@ class StatisticsSensor(SensorEntity):
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def _async_handle_new_state(
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self,
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reported_state: State | None,
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reported_state: State,
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timestamp: float,
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) -> None:
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"""Handle the sensor state changes."""
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if (new_state := reported_state) is None:
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return
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self._add_state_to_queue(new_state)
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self._add_state_to_queue(reported_state, timestamp)
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self._async_purge_update_and_schedule()
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if self._preview_callback:
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@ -747,14 +746,18 @@ class StatisticsSensor(SensorEntity):
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self,
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event: Event[EventStateChangedData],
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) -> None:
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self._async_handle_new_state(event.data["new_state"])
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if (new_state := event.data["new_state"]) is None:
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return
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self._async_handle_new_state(new_state, new_state.last_updated_timestamp)
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@callback
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def _async_stats_sensor_state_report_listener(
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self,
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event: Event[EventStateReportedData],
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) -> None:
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self._async_handle_new_state(event.data["new_state"])
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self._async_handle_new_state(
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event.data["new_state"], event.data["last_reported"].timestamp()
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)
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async def _async_stats_sensor_startup(self) -> None:
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"""Add listener and get recorded state.
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@ -785,7 +788,9 @@ class StatisticsSensor(SensorEntity):
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"""Register callbacks."""
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await self._async_stats_sensor_startup()
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def _add_state_to_queue(self, new_state: State) -> None:
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def _add_state_to_queue(
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self, new_state: State, last_reported_timestamp: float
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) -> None:
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"""Add the state to the queue."""
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# Attention: it is not safe to store the new_state object,
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@ -805,7 +810,7 @@ class StatisticsSensor(SensorEntity):
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self.states.append(new_state.state == "on")
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else:
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self.states.append(float(new_state.state))
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self.ages.append(new_state.last_reported_timestamp)
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self.ages.append(last_reported_timestamp)
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self._attr_extra_state_attributes[STAT_SOURCE_VALUE_VALID] = True
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except ValueError:
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self._attr_extra_state_attributes[STAT_SOURCE_VALUE_VALID] = False
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@ -1062,7 +1067,7 @@ class StatisticsSensor(SensorEntity):
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self._fetch_states_from_database
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):
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for state in reversed(states):
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self._add_state_to_queue(state)
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self._add_state_to_queue(state, state.last_reported_timestamp)
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self._calculate_state_attributes(state)
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self._async_purge_update_and_schedule()
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@ -157,7 +157,6 @@ class EventStateEventData(TypedDict):
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"""Base class for EVENT_STATE_CHANGED and EVENT_STATE_REPORTED data."""
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entity_id: str
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new_state: State | None
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class EventStateChangedData(EventStateEventData):
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@ -166,6 +165,7 @@ class EventStateChangedData(EventStateEventData):
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A state changed event is fired when on state write the state is changed.
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"""
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new_state: State | None
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old_state: State | None
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@ -175,6 +175,8 @@ class EventStateReportedData(EventStateEventData):
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A state reported event is fired when on state write the state is unchanged.
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"""
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last_reported: datetime.datetime
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new_state: State
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old_last_reported: datetime.datetime
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@ -1749,18 +1751,38 @@ class CompressedState(TypedDict):
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class State:
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"""Object to represent a state within the state machine.
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"""Object to represent a state within the state machine."""
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entity_id: the entity that is represented.
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state: the state of the entity
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attributes: extra information on entity and state
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last_changed: last time the state was changed.
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last_reported: last time the state was reported.
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last_updated: last time the state or attributes were changed.
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context: Context in which it was created
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domain: Domain of this state.
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object_id: Object id of this state.
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entity_id: str
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"""The entity that is represented by the state."""
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domain: str
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"""Domain of the entity that is represented by the state."""
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object_id: str
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"""object_id: Object id of this state."""
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state: str
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"""The state of the entity."""
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attributes: ReadOnlyDict[str, Any]
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"""Extra information on entity and state"""
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last_changed: datetime.datetime
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"""Last time the state was changed."""
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last_reported: datetime.datetime
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"""Last time the state was reported.
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Note: When the state is set and neither the state nor attributes are
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changed, the existing state will be mutated with an updated last_reported.
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When handling a state change event, the last_reported attribute of the old
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state will not be modified and can safely be used. The last_reported attribute
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of the new state may be modified and the last_updated attribute should be used
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instead.
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When handling a state report event, the last_reported attribute may be
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modified and last_reported from the event data should be used instead.
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"""
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last_updated: datetime.datetime
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"""Last time the state or attributes were changed."""
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context: Context
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"""Context in which the state was created."""
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__slots__ = (
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"_cache",
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@ -1841,7 +1863,20 @@ class State:
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@under_cached_property
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def last_reported_timestamp(self) -> float:
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"""Timestamp of last report."""
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"""Timestamp of last report.
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Note: When the state is set and neither the state nor attributes are
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changed, the existing state will be mutated with an updated last_reported.
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When handling a state change event, the last_reported_timestamp attribute
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of the old state will not be modified and can safely be used. The
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last_reported_timestamp attribute of the new state may be modified and the
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last_updated_timestamp attribute should be used instead.
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When handling a state report event, the last_reported_timestamp attribute may
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be modified and last_reported from the event data should be used instead.
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"""
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return self.last_reported.timestamp()
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@under_cached_property
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@ -2340,6 +2375,7 @@ class StateMachine:
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EVENT_STATE_REPORTED,
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{
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"entity_id": entity_id,
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"last_reported": now,
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"old_last_reported": old_last_reported,
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"new_state": old_state,
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},
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