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Use shorthand attribute in trend binary sensor (#128614)

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Co-authored-by: epenet <6771947+epenet@users.noreply.github.com>
Co-authored-by: Franck Nijhof <git@frenck.dev>
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G Johansson 2024-10-18 09:21:07 +02:00 committed by GitHub
parent 5674c1d82f
commit 5986646af4
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1 changed files with 4 additions and 9 deletions
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13
homeassistant/components/trend/binary_sensor.py
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@ -199,11 +199,6 @@ class SensorTrend(BinarySensorEntity, RestoreEntity):
if sensor_entity_id:
self.entity_id = sensor_entity_id
@property
def is_on(self) -> bool | None:
"""Return true if sensor is on."""
return self._state
@property
def extra_state_attributes(self) -> Mapping[str, Any]:
"""Return the state attributes of the sensor."""
@ -247,9 +242,9 @@ class SensorTrend(BinarySensorEntity, RestoreEntity):
if not (state := await self.async_get_last_state()):
return
if state.state == STATE_UNKNOWN:
if state.state in {STATE_UNKNOWN, STATE_UNAVAILABLE}:
return
self._state = state.state == STATE_ON
self._attr_is_on = state.state == STATE_ON
async def async_update(self) -> None:
"""Get the latest data and update the states."""
@ -266,13 +261,13 @@ class SensorTrend(BinarySensorEntity, RestoreEntity):
await self.hass.async_add_executor_job(self._calculate_gradient)
# Update state
self._state = (
self._attr_is_on = (
abs(self._gradient) > abs(self._min_gradient)
and math.copysign(self._gradient, self._min_gradient) == self._gradient
)
if self._invert:
self._state = not self._state
self._attr_is_on = not self._attr_is_on
def _calculate_gradient(self) -> None:
"""Compute the linear trend gradient of the current samples.