perf(sensors): add call-avoidance for timer-based state updates

Skip expensive async_write_ha_state() when native_value hasn't changed
since last write. HA's state machine has built-in change detection, but
it only runs AFTER all properties and attributes are evaluated — the
expensive part we now avoid entirely.

Sensor platform (Timer #2 + #3):
- New _write_if_changed() method compares native_value before writing
- Timer #3 (30s, 7 entities): Skips all writes when no period active
- Timer #2 (15min, ~45 entities): Skips enum levels/ratings that stay
  constant across quarter-hour intervals
- Replaces data_lifecycle_status-only pattern with unified approach

Binary sensor platform (Timer #2):
- Period sensors only write at actual period boundaries, not every 15min

Coordinator push updates always write (sentinel reset ensures freshness).

Impact: Eliminates asyncio "Executing TimerHandle took 1.4s" warnings
caused by redundant property evaluation in Timer #3 callbacks. Reduces
event loop blocking from ~1.4s to microseconds when values unchanged.

custom_components/tibber_prices/binary_sensor/core.py

@@ -33,6 +33,10 @@ if TYPE_CHECKING:
     from custom_components.tibber_prices.coordinator.time_service import TibberPricesTimeService
 
 
+# Sentinel for _last_written_state: forces first write after init or coordinator update
+_SENTINEL = object()
+
+
 class TibberPricesBinarySensor(TibberPricesEntity, BinarySensorEntity, RestoreEntity):
     """tibber_prices binary_sensor class with state restoration."""
 
@@ -85,6 +89,8 @@ class TibberPricesBinarySensor(TibberPricesEntity, BinarySensorEntity, RestoreEn
         self._attr_unique_id = f"{coordinator.config_entry.entry_id}_{entity_description.key}"
         self._state_getter: Callable | None = self._get_value_getter()
         self._time_sensitive_remove_listener: Callable | None = None
+        # State change detection for call-avoidance optimization (see sensor/core.py for rationale)
+        self._last_written_state: bool | None | object = _SENTINEL
 
     async def async_added_to_hass(self) -> None:
         """When entity is added to hass."""
@@ -122,6 +128,11 @@ class TibberPricesBinarySensor(TibberPricesEntity, BinarySensorEntity, RestoreEn
         # Store TimeService from Timer #2 for calculations during this update cycle
         self.coordinator.time = time_service
 
+        # Call-avoidance: period binary sensors only change at period boundaries,
+        # not every 15 minutes. Skip expensive async_write_ha_state() when unchanged.
+        current_state = self.is_on
+        if current_state != self._last_written_state:
+            self._last_written_state = current_state
             self.async_write_ha_state()
 
     def _get_value_getter(self) -> Callable | None:
@@ -306,12 +317,9 @@ class TibberPricesBinarySensor(TibberPricesEntity, BinarySensorEntity, RestoreEn
     @callback
     def _handle_coordinator_update(self) -> None:
         """Handle updated data from the coordinator."""
-        # All binary sensors get push updates when coordinator has new data:
+        # Coordinator updates bring new API data — always write to ensure fresh state.
-        # - tomorrow_data_available: Reflects new data availability immediately after API fetch
+        # Reset _last_written_state so timer-based handlers also write next cycle.
-        # - connection: Reflects connection state changes immediately
+        self._last_written_state = _SENTINEL
-        # - chart_data_export: Updates chart data when price data changes
-        # - peak_price_period, best_price_period: Update when periods change (also get Timer #2 updates)
-        # - data_lifecycle_status: Gets both push and Timer #2 updates
         self.async_write_ha_state()
 
     @property

custom_components/tibber_prices/sensor/core.py

@@ -96,6 +96,9 @@ LAST_HOUR_OF_DAY = 23
 MAX_FORECAST_INTERVALS = 8  # Show up to 8 future intervals (2 hours with 15-min intervals)
 MIN_HOURS_FOR_LATER_HALF = 3  # Minimum hours needed to calculate later half average
 
+# Sentinel for _last_written_value: forces first write after init or coordinator update
+_SENTINEL = object()
+
 
 class TibberPricesSensor(TibberPricesEntity, RestoreSensor):
     """tibber_prices Sensor class with state restoration."""
@@ -199,9 +202,12 @@ class TibberPricesSensor(TibberPricesEntity, RestoreSensor):
         self._value_getter: Callable | None = self._get_value_getter()
         self._time_sensitive_remove_listener: Callable | None = None
         self._minute_update_remove_listener: Callable | None = None
-        # Lifecycle sensor state change detection (for recorder optimization)
+        # State change detection for call-avoidance optimization.
-        # Store as Any because native_value can be str/float/datetime depending on sensor type
+        # Skips expensive async_write_ha_state() (property eval + attribute building)
-        self._last_lifecycle_state: Any = None
+        # when native_value hasn't changed. HA's state machine has its own change detection,
+        # but it only runs AFTER all properties and attributes are evaluated.
+        # Store as Any because native_value can be str/float/datetime depending on sensor type.
+        self._last_written_value: Any = _SENTINEL
         # Chart data export (for chart_data_export sensor) - from binary_sensor
         self._chart_data_last_update = None  # Track last service call timestamp
         self._chart_data_error = None  # Track last service call error
@@ -342,17 +348,10 @@ class TibberPricesSensor(TibberPricesEntity, RestoreSensor):
         ):
             self._trend_calculator.clear_calculation_cache()
 
-        # For lifecycle sensor: Only write state if it actually changed (state-change filter)
+        # Call-avoidance: Skip expensive async_write_ha_state() when value unchanged.
-        # This enables precise detection at quarter-hour boundaries (23:45 turnover_pending,
+        # This runs 4x/hour for ~45 entities. Many (enum levels, ratings, trends) stay
-        # 13:00 searching_tomorrow, 00:00 turnover complete) without recorder spam
+        # constant across multiple quarter-hour intervals.
-        if self.entity_description.key == "data_lifecycle_status":
+        self._write_if_changed()
-            current_state = self.native_value
-            if current_state != self._last_lifecycle_state:
-                self._last_lifecycle_state = current_state
-                self.async_write_ha_state()
-            # If state didn't change, skip write to recorder
-        else:
-            self.async_write_ha_state()
 
     @callback
     def _handle_minute_update(self, time_service: TibberPricesTimeService) -> None:
@@ -366,6 +365,27 @@ class TibberPricesSensor(TibberPricesEntity, RestoreSensor):
         # Store TimeService from Timer #3 for calculations during this update cycle
         self.coordinator.time = time_service
 
+        # Call-avoidance: Skip expensive async_write_ha_state() when value unchanged.
+        # This runs 120x/hour for 7 countdown/progress entities. Many calls are redundant:
+        # - Progress (precision=0) changes only every ~72s for a 2h period
+        # - When no period is active, remaining_minutes/progress stay at 0 indefinitely
+        self._write_if_changed()
+
+    @callback
+    def _write_if_changed(self) -> None:
+        """
+        Write state only if native_value changed since last write.
+
+        Call-avoidance optimization: evaluates native_value (cheap) once,
+        then skips the expensive async_write_ha_state() call if the value
+        is unchanged. async_write_ha_state() evaluates ALL properties
+        (native_value, extra_state_attributes, icon, available, etc.) and
+        builds the full attribute dict every time — even when HA's own
+        state machine would ultimately discard the identical update.
+        """
+        current_value = self.native_value
+        if current_value != self._last_written_value:
+            self._last_written_value = current_value
             self.async_write_ha_state()
 
     @callback
@@ -387,15 +407,9 @@ class TibberPricesSensor(TibberPricesEntity, RestoreSensor):
             # Schedule async refresh as a task (we're in a callback)
             self.hass.async_create_task(self._refresh_chart_metadata())
 
-        # For lifecycle sensor: Only write state if it actually changed (event-based filter)
+        # Coordinator updates bring new API data — always write to ensure fresh state.
-        # Prevents excessive recorder entries while keeping quarter-hour update capability
+        # Reset _last_written_value so timer-based handlers also write next cycle.
-        if self.entity_description.key == "data_lifecycle_status":
+        self._last_written_value = _SENTINEL
-            current_state = self.native_value
-            if current_state != self._last_lifecycle_state:
-                self._last_lifecycle_state = current_state
-                super()._handle_coordinator_update()
-            # If state didn't change, skip write to recorder
-        else:
         super()._handle_coordinator_update()
 
     def _get_value_getter(self) -> Callable | None: