diff --git a/.storage/lovelace_resources b/.storage/lovelace_resources index 37a1569d..b9480004 100644 --- a/.storage/lovelace_resources +++ b/.storage/lovelace_resources @@ -256,7 +256,7 @@ }, { "id": "8713ea9c008e4270bb28085eed5be959", - "url": "/hacsfiles/Statistics-Graph-Chart-Card/statistics-graph-chart-card.js?hacstag=1034932856401", + "url": "/hacsfiles/Statistics-Graph-Chart-Card/statistics-graph-chart-card.js?hacstag=1034932856402", "type": "module" }, { diff --git a/custom_components/ingress/manifest.json b/custom_components/ingress/manifest.json index 7cb1b4a5..35fc14cb 100644 --- a/custom_components/ingress/manifest.json +++ b/custom_components/ingress/manifest.json @@ -9,5 +9,5 @@ "iot_class": "local_push", "issue_tracker": "https://github.com/lovelylain/hass_ingress/issues", "single_config_entry": true, - "version": "1.3.0" + "version": "1.3.2" } diff --git a/custom_components/versatile_thermostat/__pycache__/__init__.cpython-314.pyc 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Each manager + # exposes its custom attributes under a dedicated top-level section key; that + # section name is declared here so the recorder skips the whole section + # (the recorder can only filter top-level keys, not nested ones). + unrecorded_attributes = frozenset() + def __init__(self, vtherm: Any, hass: HomeAssistant, name: str = None): """Init of a featureManager""" self._vtherm = vtherm diff --git a/custom_components/versatile_thermostat/base_thermostat.py b/custom_components/versatile_thermostat/base_thermostat.py index 788e2fcc..eb0f10d8 100644 --- a/custom_components/versatile_thermostat/base_thermostat.py +++ b/custom_components/versatile_thermostat/base_thermostat.py @@ -85,11 +85,16 @@ class BaseThermostat(ClimateEntity, RestoreEntity, Generic[T]): _attr_swing_horizontal_mode = "" _entity_component_unrecorded_attributes = ( - ClimateEntity._entity_component_unrecorded_attributes.union(frozenset({"configuration", "preset_temperatures"})) + ClimateEntity._entity_component_unrecorded_attributes.union(frozenset({"configuration", "preset_temperatures", "specific_states"})) .union(FeaturePresenceManager.unrecorded_attributes) .union(FeaturePowerManager.unrecorded_attributes) .union(FeatureMotionManager.unrecorded_attributes) .union(FeatureWindowManager.unrecorded_attributes) + .union(FeatureSafetyManager.unrecorded_attributes) + .union(FeatureLockManager.unrecorded_attributes) + .union(FeatureTimedPresetManager.unrecorded_attributes) + .union(FeatureHeatingFailureDetectionManager.unrecorded_attributes) + .union(FeatureRepairIncorrectStateManager.unrecorded_attributes) ) ## @@ -192,6 +197,7 @@ class BaseThermostat(ClimateEntity, RestoreEntity, Generic[T]): self._use_central_config_temperature = False self._hvac_off_reason: str | None = None + self._hvac_mode_reason: str | None = None self._hvac_list: list[VThermHvacMode] = [] self._str_hvac_list: list[str] = [] self._temperature_reason: str | None = None @@ -634,6 +640,7 @@ class BaseThermostat(ClimateEntity, RestoreEntity, Generic[T]): # Try to get total_energy from specific_states (new format) or root level (old format) specific_states = old_state.attributes.get("specific_states", {}) + self._hvac_mode_reason = specific_states.get(HVAC_MODE_REASON_NAME, self._hvac_off_reason) old_total_energy = specific_states.get(ATTR_TOTAL_ENERGY) if old_total_energy is None: # Fallback to root level for backward compatibility @@ -1280,6 +1287,14 @@ class BaseThermostat(ClimateEntity, RestoreEntity, Generic[T]): window detection or auto-start-stop""" return self._hvac_off_reason + @property + def hvac_mode_reason(self) -> str | None: + """Returns the reason why the current hvac_mode is forced. + Unlike hvac_off_reason, this is set whatever the forced hvac_mode is + (off, fan_only, dry, ...) so the UI can explain why the VTherm is not + in the requested mode.""" + return self._hvac_mode_reason + @property def temperature_reason(self) -> str | None: """Returns the reason of the target temperature @@ -1680,6 +1695,9 @@ class BaseThermostat(ClimateEntity, RestoreEntity, Generic[T]): # issue #1958 - when window_action=fan_only temporarily switches the mode to FAN_ONLY, # the user's intent (requested_state) is still COOL, so we must use AC presets. or (self.vtherm_hvac_mode == VThermHvacMode_FAN_ONLY and self.requested_state.hvac_mode == VThermHvacMode_COOL) + # when auto-start/stop temporarily switches the mode to DRY as its stop mode, + # the user's intent (requested_state) is still COOL, so we must use AC presets. + or (self.vtherm_hvac_mode == VThermHvacMode_DRY and self.requested_state.hvac_mode == VThermHvacMode_COOL) # (self.is_over_switch and self._ac_mode) # or self.vtherm_hvac_mode == VThermHvacMode_COOL # or (self.vtherm_hvac_mode == VThermHvacMode_OFF and self.requested_state.hvac_mode == VThermHvacMode_COOL) @@ -1733,6 +1751,10 @@ class BaseThermostat(ClimateEntity, RestoreEntity, Generic[T]): """Set the reason of hvac_off""" self._hvac_off_reason = hvac_off_reason + def set_hvac_mode_reason(self, hvac_mode_reason: str | None): + """Set the reason why the current hvac_mode is forced""" + self._hvac_mode_reason = hvac_mode_reason + def set_temperature_reason(self, temperature_reason: str | None): """Set the reason of temperature""" self._temperature_reason = temperature_reason @@ -1823,6 +1845,7 @@ class BaseThermostat(ClimateEntity, RestoreEntity, Generic[T]): "ema_temp": self._ema_temp, "temperature_slope": round(self.last_temperature_slope or 0, 3), "hvac_off_reason": self.hvac_off_reason, + "hvac_mode_reason": self.hvac_mode_reason, ATTR_TOTAL_ENERGY: self.total_energy, "last_change_time_from_vtherm": ( self._last_change_time_from_vtherm.astimezone(self._current_tz).isoformat() if self._last_change_time_from_vtherm is not None else None @@ -2134,7 +2157,13 @@ class BaseThermostat(ClimateEntity, RestoreEntity, Generic[T]): "This thermostat does not use TPI algorithm." ) - async def service_set_auto_tpi_mode(self, auto_tpi_mode: bool): + async def service_set_auto_tpi_mode( + self, + auto_tpi_mode: bool, + reinitialise: bool = True, + allow_kint_boost_on_stagnation: bool = False, + allow_kext_compensation_on_overshoot: bool = False, + ): """Stub method for Auto TPI mode service on non-TPI thermostats. This service is only available for switch/valve type thermostats that use TPI algorithm. diff --git a/custom_components/versatile_thermostat/const.py b/custom_components/versatile_thermostat/const.py index b2ec3545..dac110d8 100644 --- a/custom_components/versatile_thermostat/const.py +++ b/custom_components/versatile_thermostat/const.py @@ -50,13 +50,14 @@ DOMAIN = "versatile_thermostat" # The order is important. PLATFORMS: list[Platform] = [ - Platform.SELECT, Platform.CLIMATE, Platform.SENSOR, # Number should be after CLIMATE Platform.NUMBER, Platform.BINARY_SENSOR, Platform.SWITCH, + # Select should be after CLIMATE + Platform.SELECT, ] CONF_UNDERLYING_LIST = "underlying_entity_ids" @@ -244,7 +245,18 @@ TYPE_AUTO_START_STOP_LEVELS = Literal[ # pylint: disable=invalid-name AUTO_START_STOP_LEVEL_NONE, ] +# The hvac_mode applied when the auto-start/stop feature detects a stop condition +AUTO_START_STOP_STOP_MODE_OFF = str(VThermHvacMode_OFF) +AUTO_START_STOP_STOP_MODE_FAN_ONLY = str(VThermHvacMode_FAN_ONLY) +AUTO_START_STOP_STOP_MODE_DRY = str(VThermHvacMode_DRY) +AUTO_START_STOP_STOP_MODES = [ + AUTO_START_STOP_STOP_MODE_OFF, + AUTO_START_STOP_STOP_MODE_FAN_ONLY, + AUTO_START_STOP_STOP_MODE_DRY, +] + HVAC_OFF_REASON_NAME = "hvac_off_reason" +HVAC_MODE_REASON_NAME = "hvac_mode_reason" HVAC_OFF_REASON_MANUAL = "hvac_off_manual" HVAC_OFF_REASON_AUTO_START_STOP = "hvac_off_auto_start_stop" HVAC_OFF_REASON_WINDOW_DETECTION = "hvac_off_window_detection" @@ -255,6 +267,15 @@ HVAC_OFF_REASONS = Literal[ # pylint: disable=invalid-name HVAC_OFF_REASON_MANUAL, HVAC_OFF_REASON_AUTO_START_STOP, HVAC_OFF_REASON_WINDOW_DETECTION, HVAC_OFF_REASON_SLEEP_MODE, HVAC_OFF_REASON_SAFETY ] +# The hvac_mode_reason set when the auto-start/stop feature applies a non-off stop mode +HVAC_MODE_REASON_AUTO_START_STOP_FAN_ONLY = "hvac_fan_only_auto_start_stop" +HVAC_MODE_REASON_AUTO_START_STOP_DRY = "hvac_dry_auto_start_stop" +# Maps the stop mode applied by the auto-start/stop feature to the related hvac_mode_reason +AUTO_START_STOP_HVAC_MODE_REASONS = { + AUTO_START_STOP_STOP_MODE_FAN_ONLY: HVAC_MODE_REASON_AUTO_START_STOP_FAN_ONLY, + AUTO_START_STOP_STOP_MODE_DRY: HVAC_MODE_REASON_AUTO_START_STOP_DRY, +} + DEFAULT_SHORT_EMA_PARAMS = { "max_alpha": 0.5, # In sec @@ -502,7 +523,7 @@ ATTR_TOTAL_ENERGY = "total_energy" ATTR_MEAN_POWER_CYCLE = "mean_cycle_power" AUTO_FAN_DTEMP_THRESHOLD = 2 -AUTO_FAN_DEACTIVATED_MODES = ["mute", "quiet", "low", "quiet", "1", "auto"] +AUTO_FAN_DEACTIVATED_MODES = ["mute", "quiet", "low", "quiet", "1", "one", "speed_1", "auto"] CENTRAL_CONFIG_NAME = "Central configuration" diff --git a/custom_components/versatile_thermostat/feature_auto_start_stop_manager.py b/custom_components/versatile_thermostat/feature_auto_start_stop_manager.py index 2fffd237..50b93472 100644 --- a/custom_components/versatile_thermostat/feature_auto_start_stop_manager.py +++ b/custom_components/versatile_thermostat/feature_auto_start_stop_manager.py @@ -32,12 +32,8 @@ class FeatureAutoStartStopManager(BaseFeatureManager): unrecorded_attributes = frozenset( { - "auto_start_stop_level", - "auto_start_stop_dtmin", - "auto_start_stop_enable", - "auto_start_stop_accumulated_error", - "auto_start_stop_accumulated_error_threshold", - "auto_start_stop_last_switch_date", + "is_auto_start_stop_configured", + "auto_start_stop_manager", } ) @@ -50,6 +46,7 @@ class FeatureAutoStartStopManager(BaseFeatureManager): self._is_configured: bool = False self._is_auto_start_stop_enabled: bool = False self._is_auto_stop_detected: bool = False + self._stop_mode: str = AUTO_START_STOP_STOP_MODE_OFF @overrides def post_init(self, entry_infos: ConfigData): @@ -126,7 +123,7 @@ class FeatureAutoStartStopManager(BaseFeatureManager): "type": "stop", "name": self.name, "cause": "Auto stop conditions reached", - "hvac_mode": str(VThermHvacMode_OFF), + "hvac_mode": str(self.stop_mode), "saved_hvac_mode": str(self._vtherm.requested_state.hvac_mode), "target_temperature": self._vtherm.target_temperature, "current_temperature": self._vtherm.current_temperature, @@ -207,6 +204,25 @@ class FeatureAutoStartStopManager(BaseFeatureManager): self._vtherm.update_custom_attributes() + async def set_auto_start_stop_stop_mode(self, stop_mode: str): + """Set the hvac_mode to apply when a stop is detected (off/fan_only/dry). + + If a stop is currently active, the new mode is applied immediately + while the stop state is kept.""" + if self._stop_mode == stop_mode: + return + + write_event_log(_LOGGER, self._vtherm, f"Auto start/stop stop mode changed from {self._stop_mode} to {stop_mode}") + self._stop_mode = stop_mode + + # If a stop is currently active, re-evaluate the state so the hvac_mode + # reflects the new choice immediately while keeping the stop state. + if self._is_auto_stop_detected: + self._vtherm.requested_state.force_changed() + await self._vtherm.update_states(force=True) + + self._vtherm.update_custom_attributes() + @callback @overrides def restore_state(self, old_state) -> None: @@ -272,6 +288,7 @@ class FeatureAutoStartStopManager(BaseFeatureManager): "auto_start_stop_accumulated_error_threshold": self._auto_start_stop_algo.accumulated_error_threshold, "auto_start_stop_last_switch_date": self._auto_start_stop_algo.last_switch_date, "is_auto_stop_detected": self.is_auto_stop_detected, + "auto_start_stop_stop_mode": self._stop_mode, } } ) @@ -302,6 +319,11 @@ class FeatureAutoStartStopManager(BaseFeatureManager): """Returns the auto_start_stop_enable""" return self._is_auto_start_stop_enabled + @property + def stop_mode(self) -> VThermHvacMode: + """Return the hvac_mode to apply when a stop is detected (off/fan_only/dry)""" + return VThermHvacMode(self._stop_mode) + @property def is_auto_stopped(self) -> bool: """Returns the is vtherm is stopped and reason is AUTO_START_STOP""" diff --git a/custom_components/versatile_thermostat/feature_heating_failure_detection_manager.py b/custom_components/versatile_thermostat/feature_heating_failure_detection_manager.py index 340f05f9..c2ee8def 100644 --- a/custom_components/versatile_thermostat/feature_heating_failure_detection_manager.py +++ b/custom_components/versatile_thermostat/feature_heating_failure_detection_manager.py @@ -54,12 +54,8 @@ class FeatureHeatingFailureDetectionManager(BaseFeatureManager): unrecorded_attributes = frozenset( { - "heating_failure_threshold", - "cooling_failure_threshold", - "heating_failure_detection_delay", - "temperature_change_tolerance", "is_heating_failure_detection_configured", - "failure_detection_enable_template", + "heating_failure_detection_manager", } ) diff --git a/custom_components/versatile_thermostat/feature_lock_manager.py b/custom_components/versatile_thermostat/feature_lock_manager.py index 71dfbc2c..2490d55d 100644 --- a/custom_components/versatile_thermostat/feature_lock_manager.py +++ b/custom_components/versatile_thermostat/feature_lock_manager.py @@ -21,6 +21,14 @@ _LOGGER = get_vtherm_logger(__name__) class FeatureLockManager(BaseFeatureManager): """ The implementation of the Lock Feature Manager for Versatile Thermostat """ + + unrecorded_attributes = frozenset( + { + "is_lock_configured", + "lock_manager", + } + ) + def __init__(self, vtherm: Any, hass: HomeAssistant): """Initialize the FeatureLockManager.""" super().__init__(vtherm, hass) diff --git a/custom_components/versatile_thermostat/feature_motion_manager.py b/custom_components/versatile_thermostat/feature_motion_manager.py index 85106e5b..7e9bb2d7 100644 --- a/custom_components/versatile_thermostat/feature_motion_manager.py +++ b/custom_components/versatile_thermostat/feature_motion_manager.py @@ -42,12 +42,8 @@ class FeatureMotionManager(BaseFeatureManager): unrecorded_attributes = frozenset( { - "motion_sensor_entity_id", "is_motion_configured", - "motion_delay_sec", - "motion_off_delay_sec", - "motion_preset", - "no_motion_preset", + "motion_manager", } ) diff --git a/custom_components/versatile_thermostat/feature_power_manager.py b/custom_components/versatile_thermostat/feature_power_manager.py index 770134d1..312c23a7 100644 --- a/custom_components/versatile_thermostat/feature_power_manager.py +++ b/custom_components/versatile_thermostat/feature_power_manager.py @@ -31,13 +31,8 @@ class FeaturePowerManager(BaseFeatureManager): unrecorded_attributes = frozenset( { - "power_sensor_entity_id", - "max_power_sensor_entity_id", "is_power_configured", - "device_power", - "power_temp", - "current_power", - "current_max_power", + "power_manager", } ) diff --git a/custom_components/versatile_thermostat/feature_presence_manager.py b/custom_components/versatile_thermostat/feature_presence_manager.py index 11ef17a8..d985c567 100644 --- a/custom_components/versatile_thermostat/feature_presence_manager.py +++ b/custom_components/versatile_thermostat/feature_presence_manager.py @@ -38,8 +38,8 @@ class FeaturePresenceManager(BaseFeatureManager): unrecorded_attributes = frozenset( { - "presence_sensor_entity_id", "is_presence_configured", + "presence_manager", } ) diff --git a/custom_components/versatile_thermostat/feature_repair_incorrect_state_manager.py b/custom_components/versatile_thermostat/feature_repair_incorrect_state_manager.py index e117a4e6..f15600a7 100644 --- a/custom_components/versatile_thermostat/feature_repair_incorrect_state_manager.py +++ b/custom_components/versatile_thermostat/feature_repair_incorrect_state_manager.py @@ -38,6 +38,7 @@ class FeatureRepairIncorrectStateManager(BaseFeatureManager): unrecorded_attributes = frozenset( { "is_repair_incorrect_state_configured", + "repair_incorrect_state_manager", } ) diff --git a/custom_components/versatile_thermostat/feature_safety_manager.py b/custom_components/versatile_thermostat/feature_safety_manager.py index f3688e37..75d625cb 100644 --- a/custom_components/versatile_thermostat/feature_safety_manager.py +++ b/custom_components/versatile_thermostat/feature_safety_manager.py @@ -32,10 +32,8 @@ class FeatureSafetyManager(BaseFeatureManager): unrecorded_attributes = frozenset( { - "safety_delay_min", - "safety_min_on_percent", - "safety_default_on_percent", "is_safety_configured", + "safety_manager", } ) diff --git a/custom_components/versatile_thermostat/feature_window_manager.py b/custom_components/versatile_thermostat/feature_window_manager.py index d0e63a46..e9a42c0c 100644 --- a/custom_components/versatile_thermostat/feature_window_manager.py +++ b/custom_components/versatile_thermostat/feature_window_manager.py @@ -43,15 +43,8 @@ class FeatureWindowManager(BaseFeatureManager): unrecorded_attributes = frozenset( { - "window_sensor_entity_id", "is_window_configured", - "window_delay_sec", - "window_off_delay_sec", - "window_auto_configured", - "window_auto_open_threshold", - "window_auto_close_threshold", - "window_auto_max_duration", - "window_action", + "window_manager", } ) @@ -134,7 +127,8 @@ class FeatureWindowManager(BaseFeatureManager): # Try to get last window bypass state old_state = await self._vtherm.async_get_last_state() - self._is_window_bypass = old_state is not None and hasattr(old_state, "attributes") and old_state.attributes.get("is_window_bypass") is True + old_attributes = getattr(old_state, "attributes", None) or {} + self._is_window_bypass = (old_attributes.get("window_manager") or {}).get("is_window_bypass") is True if self._is_configured: self.stop_listening() diff --git a/custom_components/versatile_thermostat/manifest.json b/custom_components/versatile_thermostat/manifest.json index affa825b..4128684d 100644 --- a/custom_components/versatile_thermostat/manifest.json +++ b/custom_components/versatile_thermostat/manifest.json @@ -22,6 +22,6 @@ "vtherm_api>=0.3.0" ], "ssdp": [], - "version": "10.0.2", + "version": "10.1.0", "zeroconf": [] } diff --git a/custom_components/versatile_thermostat/pi_algorithm.py b/custom_components/versatile_thermostat/pi_algorithm.py index 6fabb41d..087e7533 100644 --- a/custom_components/versatile_thermostat/pi_algorithm.py +++ b/custom_components/versatile_thermostat/pi_algorithm.py @@ -86,8 +86,11 @@ class PITemperatureRegulator: # Calculate the sum of error (I) # Discussion #384. Finally don't reset the accumulated error but smoothly reset it if the sign is inversed # If the error have change its sign, reset smoothly the accumulated error + # The divisor is clamped so that a fractional cycle (time_delta < 0.5), which happens when + # the regulation is triggered twice in quick succession (e.g. repeated target changes), + # can never amplify the accumulated error instead of decaying it. if self.overheat_protection and error * self.accumulated_error < 0: - self.accumulated_error = self.accumulated_error / (2.0 * time_delta) + self.accumulated_error = self.accumulated_error / (2.0 * max(time_delta, 0.5)) self.accumulated_error += error * time_delta diff --git a/custom_components/versatile_thermostat/select.py b/custom_components/versatile_thermostat/select.py index a3f65bb9..242858e4 100644 --- a/custom_components/versatile_thermostat/select.py +++ b/custom_components/versatile_thermostat/select.py @@ -4,8 +4,9 @@ import logging from vtherm_api.log_collector import get_vtherm_logger -from homeassistant.core import HomeAssistant +from homeassistant.core import HomeAssistant, callback, Event +from homeassistant.const import EntityCategory from homeassistant.components.select import SelectEntity from homeassistant.helpers.device_registry import DeviceInfo, DeviceEntryType from homeassistant.config_entries import ConfigEntry @@ -18,14 +19,22 @@ from custom_components.versatile_thermostat.base_thermostat import ( from custom_components.versatile_thermostat.vtherm_central_api import VersatileThermostatAPI +from .base_entity import VersatileThermostatBaseEntity + from .const import ( DOMAIN, DEVICE_MANUFACTURER, CONF_NAME, CONF_THERMOSTAT_TYPE, CONF_THERMOSTAT_CENTRAL_CONFIG, + CONF_THERMOSTAT_CLIMATE, + CONF_USE_AUTO_START_STOP_FEATURE, CENTRAL_MODE_AUTO, CENTRAL_MODES, + AUTO_START_STOP_STOP_MODE_OFF, + AUTO_START_STOP_STOP_MODE_FAN_ONLY, + AUTO_START_STOP_STOP_MODE_DRY, + AUTO_START_STOP_STOP_MODES, overrides, ) from .commons import write_event_log @@ -44,14 +53,16 @@ async def async_setup_entry( _LOGGER.debug("%s - Calling async_setup_entry entry=%s, data=%s", name, entry.entry_id, entry.data) vt_type = entry.data.get(CONF_THERMOSTAT_TYPE) - if vt_type != CONF_THERMOSTAT_CENTRAL_CONFIG: - return + entities = [] - entities = [ - CentralModeSelect(hass, unique_id, name, entry.data), - ] + if vt_type == CONF_THERMOSTAT_CENTRAL_CONFIG: + entities.append(CentralModeSelect(hass, unique_id, name, entry.data)) + elif vt_type == CONF_THERMOSTAT_CLIMATE: + if entry.data.get(CONF_USE_AUTO_START_STOP_FEATURE) is True: + entities.append(AutoStartStopStopModeSelect(hass, unique_id, name, entry.data)) - async_add_entities(entities, True) + if entities: + async_add_entities(entities, True) class CentralModeSelect(SelectEntity, RestoreEntity): @@ -124,3 +135,111 @@ class CentralModeSelect(SelectEntity, RestoreEntity): def __str__(self) -> str: return f"VersatileThermostat-{self.name}" + + +class AutoStartStopStopModeSelect( + VersatileThermostatBaseEntity, SelectEntity, RestoreEntity +): + """Representation of the hvac_mode applied when the auto-start/stop + feature detects a stop condition (off, fan_only or dry).""" + + def __init__( + self, hass: HomeAssistant, unique_id: str, name: str, entry_infos: ConfigData + ): + """Initialize the auto-start/stop stop mode select""" + super().__init__(hass, unique_id, name) + self._attr_name = "Auto start/stop stop mode" + self._attr_unique_id = f"{self._device_name}_auto_start_stop_stop_mode" + self._attr_translation_key = "auto_start_stop_stop_mode" + self._attr_entity_category = EntityCategory.CONFIG + self._attr_current_option = AUTO_START_STOP_STOP_MODE_OFF + + @property + def icon(self) -> str | None: + """The icon""" + return "mdi:hvac" + + @property + def options(self) -> list[str]: + """The available options, computed from the underlying supported hvac_modes""" + return self._build_options() + + def _build_options(self) -> list[str]: + """Build the available options from the underlying supported hvac_modes. + fan_only and dry are only proposed if the underlying supports them.""" + options = [AUTO_START_STOP_STOP_MODE_OFF] + climate = self.my_climate + if climate is not None: + hvac_modes = climate.hvac_modes + if AUTO_START_STOP_STOP_MODE_FAN_ONLY in hvac_modes: + options.append(AUTO_START_STOP_STOP_MODE_FAN_ONLY) + if AUTO_START_STOP_STOP_MODE_DRY in hvac_modes: + options.append(AUTO_START_STOP_STOP_MODE_DRY) + return options + + @callback + def my_climate_is_initialized(self): + """Called when the associated climate is resolved -> refresh the options. + The restored option is only validated once the VTherm is fully + initialized (its underlying hvac_modes are available).""" + + self._refresh_current_option() + self.hass.create_task(self.update_my_state_and_vtherm()) + + def _refresh_current_option(self): + """Reset the current option to off only once the VTherm is fully + initialized and its underlying does not support the current option. + While the VTherm is not initialized, the restored option is kept as is + to avoid discarding it before the underlying hvac_modes are available.""" + climate = self.my_climate + if climate is None or not climate.is_initialized: + return + if self._attr_current_option not in self.options: + self._attr_current_option = AUTO_START_STOP_STOP_MODE_OFF + + @overrides + async def async_my_climate_changed(self, event: Event = None): + """Called when my climate changes -> refresh the available options. + The underlying supported hvac_modes may become available only after + the VTherm has adopted them, so the options must be recomputed.""" + if self.my_climate is None: + return + self._refresh_current_option() + self.async_write_ha_state() + + @overrides + async def async_added_to_hass(self): + # Restore the persisted value before looking for the climate so that + # my_climate_is_initialized validates the options against it. + last_state = await self.async_get_last_state() + if last_state is not None and last_state.state in AUTO_START_STOP_STOP_MODES: + self._attr_current_option = last_state.state + + await super().async_added_to_hass() + + await self.update_my_state_and_vtherm() + + async def update_my_state_and_vtherm(self): + """Update the stop mode in my VTherm auto-start/stop manager""" + self.async_write_ha_state() + if ( + self.my_climate is not None + and self.my_climate.auto_start_stop_manager is not None + ): + await self.my_climate.auto_start_stop_manager.set_auto_start_stop_stop_mode(self._attr_current_option) + + @overrides + async def async_select_option(self, option: str) -> None: + """Change the selected option.""" + if option == self._attr_current_option: + return + + if option in self.options: + write_event_log(_LOGGER, self, f"Auto start/stop stop mode is being changed from {self._attr_current_option} to {option}") + self._attr_current_option = option + await self.update_my_state_and_vtherm() + + @overrides + def select_option(self, option: str) -> None: + """Change the selected option""" + self.hass.create_task(self.async_select_option(option)) diff --git a/custom_components/versatile_thermostat/state_manager.py b/custom_components/versatile_thermostat/state_manager.py index 06354be8..1f6a27f3 100644 --- a/custom_components/versatile_thermostat/state_manager.py +++ b/custom_components/versatile_thermostat/state_manager.py @@ -13,6 +13,7 @@ from .const import ( HVAC_OFF_REASON_AUTO_START_STOP, HVAC_OFF_REASON_SLEEP_MODE, HVAC_OFF_REASON_CENTRAL_MODE, + AUTO_START_STOP_HVAC_MODE_REASONS, CONF_WINDOW_ECO_TEMP, CONF_WINDOW_FAN_ONLY, CONF_WINDOW_FROST_TEMP, @@ -112,13 +113,16 @@ class StateManager: if vtherm.last_central_mode == CENTRAL_MODE_STOPPED: self._current_state.set_hvac_mode(VThermHvacMode_OFF) vtherm.set_hvac_off_reason(HVAC_OFF_REASON_CENTRAL_MODE) + vtherm.set_hvac_mode_reason(HVAC_OFF_REASON_CENTRAL_MODE) elif vtherm.safety_manager.is_safety_detected and (vtherm.is_over_climate or vtherm.safety_manager.safety_default_on_percent <= 0.0): self._current_state.set_hvac_mode(VThermHvacMode_OFF) vtherm.set_hvac_off_reason(HVAC_OFF_REASON_SAFETY) + vtherm.set_hvac_mode_reason(HVAC_OFF_REASON_SAFETY) # then check if window is open elif vtherm.window_manager.is_window_detected and self._requested_state.hvac_mode != VThermHvacMode_OFF: + vtherm.set_hvac_mode_reason(HVAC_OFF_REASON_WINDOW_DETECTION) if vtherm.window_manager.window_action == CONF_WINDOW_FAN_ONLY and VThermHvacMode_FAN_ONLY in vtherm.vtherm_hvac_modes: self._current_state.set_hvac_mode(VThermHvacMode_FAN_ONLY) elif vtherm.window_manager.window_action == CONF_WINDOW_TURN_OFF or ( @@ -128,10 +132,17 @@ class StateManager: vtherm.set_hvac_off_reason(HVAC_OFF_REASON_WINDOW_DETECTION) elif vtherm.auto_start_stop_manager and vtherm.auto_start_stop_manager.is_auto_stop_detected and self._requested_state.hvac_mode != VThermHvacMode_OFF: - self._current_state.set_hvac_mode(VThermHvacMode_OFF) - vtherm.set_hvac_off_reason(HVAC_OFF_REASON_AUTO_START_STOP) + stop_mode = vtherm.auto_start_stop_manager.stop_mode + if stop_mode != VThermHvacMode_OFF and stop_mode in vtherm.vtherm_hvac_modes: + self._current_state.set_hvac_mode(stop_mode) + vtherm.set_hvac_mode_reason(AUTO_START_STOP_HVAC_MODE_REASONS.get(str(stop_mode), HVAC_OFF_REASON_AUTO_START_STOP)) + else: + self._current_state.set_hvac_mode(VThermHvacMode_OFF) + vtherm.set_hvac_off_reason(HVAC_OFF_REASON_AUTO_START_STOP) + vtherm.set_hvac_mode_reason(HVAC_OFF_REASON_AUTO_START_STOP) elif vtherm.last_central_mode == CENTRAL_MODE_COOL_ONLY and self._requested_state.hvac_mode != VThermHvacMode_OFF: + vtherm.set_hvac_mode_reason(HVAC_OFF_REASON_CENTRAL_MODE) if VThermHvacMode_COOL in vtherm.vtherm_hvac_modes: self._current_state.set_hvac_mode(VThermHvacMode_COOL) else: @@ -139,6 +150,7 @@ class StateManager: self._current_state.set_hvac_mode(VThermHvacMode_OFF) elif vtherm.last_central_mode == CENTRAL_MODE_HEAT_ONLY and self._requested_state.hvac_mode != VThermHvacMode_OFF: + vtherm.set_hvac_mode_reason(HVAC_OFF_REASON_CENTRAL_MODE) if VThermHvacMode_HEAT in vtherm.vtherm_hvac_modes: self._current_state.set_hvac_mode(VThermHvacMode_HEAT) else: @@ -146,6 +158,7 @@ class StateManager: self._current_state.set_hvac_mode(VThermHvacMode_OFF) elif vtherm.last_central_mode == CENTRAL_MODE_FROST_PROTECTION and self._requested_state.hvac_mode != VThermHvacMode_OFF: + vtherm.set_hvac_mode_reason(HVAC_OFF_REASON_CENTRAL_MODE) preset_modes = vtherm.vtherm_preset_modes if preset_modes is None or VThermPreset.FROST not in preset_modes or VThermHvacMode_HEAT not in vtherm.vtherm_hvac_modes: self._current_state.set_hvac_mode(VThermHvacMode_OFF) @@ -157,7 +170,11 @@ class StateManager: else: if self._current_state.hvac_mode == VThermHvacMode_OFF and self._requested_state.hvac_mode == VThermHvacMode_OFF: _LOGGER.info("%s - already in OFF. Change the reason to MANUAL", vtherm) - vtherm.set_hvac_off_reason(HVAC_OFF_REASON_MANUAL if not vtherm.is_sleeping else HVAC_OFF_REASON_SLEEP_MODE) + reason = HVAC_OFF_REASON_MANUAL if not vtherm.is_sleeping else HVAC_OFF_REASON_SLEEP_MODE + vtherm.set_hvac_off_reason(reason) + vtherm.set_hvac_mode_reason(reason) + else: + vtherm.set_hvac_mode_reason(None) self._current_state.set_hvac_mode(self._requested_state.hvac_mode) @@ -166,6 +183,7 @@ class StateManager: vtherm.set_hvac_off_reason(None) elif self._current_state.hvac_mode == VThermHvacMode_SLEEP: vtherm.set_hvac_off_reason(HVAC_OFF_REASON_SLEEP_MODE) + vtherm.set_hvac_mode_reason(HVAC_OFF_REASON_SLEEP_MODE) return self._current_state.is_hvac_mode_changed diff --git a/custom_components/versatile_thermostat/strings.json b/custom_components/versatile_thermostat/strings.json index 9b635c95..e7d83412 100644 --- a/custom_components/versatile_thermostat/strings.json +++ b/custom_components/versatile_thermostat/strings.json @@ -933,6 +933,16 @@ "boost_ac_away_temp": { "name": "Boost ac away" } + }, + "select": { + "auto_start_stop_stop_mode": { + "name": "Auto start/stop stop mode", + "state": { + "off": "Off", + "fan_only": "Fan only", + "dry": "Dry" + } + } } }, "services": { diff --git a/custom_components/versatile_thermostat/thermostat_climate.py b/custom_components/versatile_thermostat/thermostat_climate.py index 4ae50a0e..0764ac17 100644 --- a/custom_components/versatile_thermostat/thermostat_climate.py +++ b/custom_components/versatile_thermostat/thermostat_climate.py @@ -174,6 +174,29 @@ class ThermostatOverClimate(BaseThermostat[UnderlyingClimate]): ) return + if self.vtherm_hvac_mode not in (VThermHvacMode_HEAT, VThermHvacMode_COOL): + _LOGGER.debug( + "%s - auto-regulation is disabled cause VTherm hvac_mode is %s (not heat nor cool). Sending the raw target temperature", + self, + self.vtherm_hvac_mode, + ) + # Outside of heat/cool the device is active but must receive the original + # (non regulated) target temperature. Force the regulated temperature to the + # target temperature and send it to all underlyings only when it differs from + # the last sent value, to avoid resending the same setpoint on each cycle. + self._regulated_target_temp = self.target_temperature + for under in self._underlyings: + if under.last_sent_temperature == self.target_temperature: + continue + await under.set_temperature( + self.target_temperature, + self._attr_max_temp, + self._attr_min_temp, + ) + # Reset the timer of last regulation change to avoid time delta too high + self._last_regulation_change = self.now + return + _LOGGER.info( "%s - Calling ThermostatClimate._send_regulated_temperature force=%s", self, @@ -416,8 +439,10 @@ class ThermostatOverClimate(BaseThermostat[UnderlyingClimate]): DOMAIN, ) - if not self._regulation_algo: - # A default empty algo (which does nothing) + if self._auto_regulation_mode == CONF_AUTO_REGULATION_NONE or not self._regulation_algo: + # A default empty algo (which does nothing). It must also replace any + # previously active algo when switching to None at runtime, else the + # old regulator keeps sending regulated setpoints to the underlyings. self._regulation_algo = PITemperatureRegulator(self.target_temperature, 0, 0, 0, 0, 0, True) def choose_auto_fan_mode(self, auto_fan_mode: str): @@ -440,8 +465,8 @@ class ThermostatOverClimate(BaseThermostat[UnderlyingClimate]): return None def determine_fan_mode_contains_speed(fan_modes: list[str]) -> bool: - """Determine if the fan_modes contains speed modes by searching for the keywords "low"/"1".""" - for val in ["low", "1"]: + """Determine if the fan_modes contains speed modes by searching for the keywords "low"/"1"/"one"/"speed_1".""" + for val in ["low", "1", "one", "speed_1"]: if find_fan_mode(fan_modes, val): return True return False @@ -453,6 +478,10 @@ class ThermostatOverClimate(BaseThermostat[UnderlyingClimate]): index = speed_modes.index("low") elif "1" in speed_modes: index = speed_modes.index("1") + elif "one" in speed_modes: + index = speed_modes.index("one") + elif "speed_1" in speed_modes: + index = speed_modes.index("speed_1") if index > -1 and index >= len(speed_modes) / 2: speed_modes.reverse() diff --git a/custom_components/versatile_thermostat/translations/de.json b/custom_components/versatile_thermostat/translations/de.json index 04b6b898..cf141298 100644 --- a/custom_components/versatile_thermostat/translations/de.json +++ b/custom_components/versatile_thermostat/translations/de.json @@ -300,7 +300,8 @@ "heater_cooling_time": "Auskühlzeit (min)", "auto_tpi_heating_rate": "Aufheizgeschwindigkeit ({unit}/h)", "auto_tpi_aggressiveness": "Aggressivität", - "auto_tpi_enable_advanced_settings": "Erweiterte Einstellungen aktivieren" + "auto_tpi_enable_advanced_settings": "Erweiterte Einstellungen aktivieren", + "auto_tpi_continuous_kext": "Kontinuierliches Kext-lernen" }, "data_description": { "auto_tpi_learning_type": "Wähle 'Erkundung' für den ersten Start (gewichteter Durchschnitt, Gewicht 1) oder 'Feinabstimmung' für kontinuierliche Anpassungen (EWMA, Alpha 0,08).", @@ -308,7 +309,8 @@ "heater_cooling_time": "Abkühlzeit nach dem Ausschalten (Minuten)\n\n| Typ | Aufheizzeit | Abkühlzeit |\n| :--- | :--- | :--- |\n| Elektroheizkörper | 5 Min. | 7 Min. |\n| Wasserheizkörper | 15 Min. | 20 Min. |\n| Fußbodenheizung | 30 Min. | 45 Min. |", "auto_tpi_heating_rate": "Temperaturanstiegskapazität des Heizkörpers ({unit} pro Stunde). Kann über den Aktionsdienst 'Kapazität kalibrieren' geschätzt werden.", "auto_tpi_aggressiveness": "Skalierungsfaktor für die gelernten Koeffizienten (50-100 %). Niedrigere Werte führen zu konservativeren Koeffizienten und verringern das Risiko einer Überschreitung des Sollwerts.", - "auto_tpi_enable_advanced_settings": "Aktivieren Sie diese Option, um die Feinabstimmung der Parameter (Alpha, Abklingen, Gewicht) vorzunehmen." + "auto_tpi_enable_advanced_settings": "Option anwählen, um die Feinabstimmung der Parameter (Alpha, Abklingen, Gewicht) vorzunehmen.", + "auto_tpi_continuous_kext": "Kontrollkästchen aktivieren, um das kontinuierliche Lernen des externen Koeffizienten (Kext) außerhalb von AutoTPI-Sitzungen zu ermöglichen." } }, "auto_tpi_avg_settings": { @@ -326,11 +328,13 @@ "description": "Parameter für die EWMA-Methode.\n\nEmpfehlungen :\n| Situation | Alpha (ema_alpha) | Abklingrate (ema_decay_rate) |\n| :--- | :--- | :--- |\n| Lernstart | 0.15 | 0.08 |\n| Lernabschluß | 0.08 | 0.12 |\n| Kontinuierliches Lernen | 0.05 | 0.02 |", "data": { "auto_tpi_ema_alpha": "Alpha", - "auto_tpi_ema_decay_rate": "Rückgangsrate" + "auto_tpi_ema_decay_rate": "Rückgangsrate", + "auto_tpi_continuous_kext_alpha": "Continuous Kext Alpha" }, "data_description": { "auto_tpi_ema_alpha": "Glättungsfaktor (0-1). Höher = schnellere Anpassung", - "auto_tpi_ema_decay_rate": "Rate, mit der Alpha im Laufe der Zeit abnimmt (Stabilisierung)" + "auto_tpi_ema_decay_rate": "Rate, mit der Alpha im Laufe der Zeit abnimmt (Stabilisierung)", + "auto_tpi_continuous_kext_alpha": "Smoothing factor for continuous Kext learning (Alpha). Default 0.04 (approx 3-5 days adaptation)." } }, "sync_device_internal_temp": { @@ -698,7 +702,8 @@ "heater_heating_time": "Aufheizzeit (min)", "heater_cooling_time": "Abkühlzeit (min)", "auto_tpi_aggressiveness": "Aggressivität", - "auto_tpi_enable_advanced_settings": "Erweiterte Einstellungen aktivieren" + "auto_tpi_enable_advanced_settings": "Erweiterte Einstellungen aktivieren", + "auto_tpi_continuous_kext": "Kontinuierliches Kext-lernen" }, "data_description": { "auto_tpi_learning_type": "Wähle 'Erkundung' für den ersten Start (gewichteter Durchschnitt, Gewicht 1) oder 'Feinabstimmung' für kontinuierliche Anpassungen (EWMA, Alpha 0,08).", @@ -706,7 +711,8 @@ "heater_heating_time": "Zeit bis zum Erreichen der vollen Leistung (Minuten)", "heater_cooling_time": "Abkühlzeit nach dem Ausschalten (Minuten)\n\n| Typ | Aufheizzeit | Abkühlzeit |\n| :--- | :--- | :--- |\n| Elektroheizkörper | 5 Min. | 7 Min. |\n| Wasserheizkörper | 15 Min. | 20 Min. |\n| Fußbodenheizung | 30 Min. | 45 Min. |", "auto_tpi_aggressiveness": "Skalierungsfaktor für die gelernten Koeffizienten (50–100 %). Niedrigere Werte führen zu konservativeren Koeffizienten und verringern das Risiko einer Überschreitung des Sollwerts.", - "auto_tpi_enable_advanced_settings": "Kontrollkästchen aktivieren, um die Parameter des ausgewählten Algorithmus zu ändern." + "auto_tpi_enable_advanced_settings": "Kontrollkästchen aktivieren, um die Parameter des ausgewählten Algorithmus zu ändern.", + "auto_tpi_continuous_kext": "Kontrollkästchen aktivieren, um das kontinuierliche Lernen des externen Koeffizienten (Kext) außerhalb von AutoTPI-Sitzungen zu ermöglichen." } }, "auto_tpi_avg_settings": { @@ -724,11 +730,13 @@ "description": "Parameter für die EWMA-Methode.\n\nEmpfehlungen:\n| Situation | Alpha (ema_alpha) | Abklingrate (ema_decay_rate) |\n| :--- | :--- | :--- |\n| Anfängliches Lernen | 0,15 | 0,08 |\n| Endgültiges Lernen | 0,08 | 0,12 |\n| Kontinuierliches Lernen | 0,05 | 0,02 |", "data": { "auto_tpi_ema_alpha": "Alpha", - "auto_tpi_ema_decay_rate": "Rückgangsrate" + "auto_tpi_ema_decay_rate": "Rückgangsrate", + "auto_tpi_continuous_kext_alpha": "Kontinuierliches Kext Alpha" }, "data_description": { "auto_tpi_ema_alpha": "Glättungsfaktor (0-1). Höher = schnellere Anpassung", - "auto_tpi_ema_decay_rate": "Rate, mit der Alpha im Laufe der Zeit abnimmt (Stabilisierung)" + "auto_tpi_ema_decay_rate": "Rate, mit der Alpha im Laufe der Zeit abnimmt (Stabilisierung)", + "auto_tpi_continuous_kext_alpha": "Glättungsfaktor für kontinuierliches Kext-Lernen (Alpha). Standardwert 0,04 (Anpassungszeit von ca. 3–5 Tagen)." } }, "heating_failure_detection": { @@ -776,7 +784,7 @@ "options": { "thermostat_central_config": "Zentrale Konfiguration", "thermostat_over_switch": "Thermostat an einem Schalter", - "thermostat_over_climate": "Thermostat an einem Thermostat", + "thermostat_over_climate": "Thermostat mittels Thermostat/Klimaanlage", "thermostat_over_valve": "Thermostat an einem Ventil" } }, @@ -1013,6 +1021,24 @@ "description": "Der optionale Sperrcode" } } + }, + "download_logs": { + "name": "Download logs", + "description": "Gefilterte Protokolle für eine VTherm-Entität erfassen und herunterladen.", + "fields": { + "log_level": { + "name": "Log level", + "description": "Mindestprotokollstufe für die Erfassung" + }, + "period_start": { + "name": "Period start", + "description": "Erfassungszeitraum Start" + }, + "period_end": { + "name": "Period end", + "description": "Erfassungszeitraum Ende" + } + } } }, "exceptions": { diff --git a/custom_components/versatile_thermostat/translations/en.json b/custom_components/versatile_thermostat/translations/en.json index 2f1fdfca..9f8c4e7d 100644 --- a/custom_components/versatile_thermostat/translations/en.json +++ b/custom_components/versatile_thermostat/translations/en.json @@ -933,6 +933,16 @@ "boost_ac_away_temp": { "name": "Boost ac away" } + }, + "select": { + "auto_start_stop_stop_mode": { + "name": "Auto start/stop stop mode", + "state": { + "off": "Off", + "fan_only": "Fan only", + "dry": "Dry" + } + } } }, "services": { diff --git a/custom_components/versatile_thermostat/translations/fr.json b/custom_components/versatile_thermostat/translations/fr.json index 7658a3e4..6c563c01 100644 --- a/custom_components/versatile_thermostat/translations/fr.json +++ b/custom_components/versatile_thermostat/translations/fr.json @@ -935,6 +935,16 @@ "boost_ac_away_temp": { "name": "Boost clim abs" } + }, + "select": { + "auto_start_stop_stop_mode": { + "name": "Mode d'arrêt auto start/stop", + "state": { + "off": "Arrêt", + "fan_only": "Ventilation seule", + "dry": "Déshumidification" + } + } } }, "services": { diff --git a/custom_components/versatile_thermostat/underlyings.py b/custom_components/versatile_thermostat/underlyings.py index 868f8019..2aa82908 100644 --- a/custom_components/versatile_thermostat/underlyings.py +++ b/custom_components/versatile_thermostat/underlyings.py @@ -860,8 +860,15 @@ class UnderlyingClimate(UnderlyingEntity): _LOGGER.info("%s - Set setpoint temperature to: %s", self, target_temp) - # Issue 807 add TARGET_TEMPERATURE only if in the features - if ClimateEntityFeature.TARGET_TEMPERATURE_RANGE in self.supported_features: + # Issue 807 add TARGET_TEMPERATURE only if in the features. + # Use a bitwise test (not the `in` operator): self.supported_features is read + # from the underlying entity's state attributes, where Home Assistant may store + # it as a plain int (e.g. for restored states). `EnumMember in ` raises + # `TypeError: argument of type 'int' is not a container or iterable`, whereas + # the bitwise `&` works for both a plain int and a ClimateEntityFeature IntFlag. + # This matches the bitwise pattern already used elsewhere in this class + # (fan_modes / swing_modes). + if self.supported_features & ClimateEntityFeature.TARGET_TEMPERATURE_RANGE: data.update( { "target_temp_high": target_temp, @@ -869,7 +876,7 @@ class UnderlyingClimate(UnderlyingEntity): } ) - if ClimateEntityFeature.TARGET_TEMPERATURE in self.supported_features: + if self.supported_features & ClimateEntityFeature.TARGET_TEMPERATURE: data["temperature"] = target_temp try: diff --git a/www/community/Statistics-Graph-Chart-Card/statistics-graph-chart-card.js b/www/community/Statistics-Graph-Chart-Card/statistics-graph-chart-card.js index f8d0a522..30f6faf9 100644 --- a/www/community/Statistics-Graph-Chart-Card/statistics-graph-chart-card.js +++ b/www/community/Statistics-Graph-Chart-Card/statistics-graph-chart-card.js @@ -1 +1 @@ -const 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stateSegmentColor(_0xda08ac,_0x4b30b1,_0x58d7fd){const _0x464529=_0x160929;return _0xda08ac?.['color']||_0x4b30b1?.['color']||STATE_TIMELINE_COLORS[_0x58d7fd%STATE_TIMELINE_COLORS[_0x464529(0xc70)]];}function bandedGradient(_0x57a9f1,_0x5ef2a9=_0x160929(0x948)){const _0x237d4c=_0x160929;if(!_0x57a9f1||!_0x57a9f1[_0x237d4c(0xc70)])return null;if(_0x57a9f1['length']===0x1)return _0x57a9f1[0x0];const _0x47a117=_0x57a9f1['length'],_0x26c3db=_0x57a9f1[_0x237d4c(0x7ee)]((_0x131d79,_0x2578fd)=>_0x131d79+'\x20'+(_0x2578fd*0x64/_0x47a117)[_0x237d4c(0x62e)](0x3)+'%\x20'+((_0x2578fd+0x1)*0x64/_0x47a117)[_0x237d4c(0x62e)](0x3)+'%');return _0x237d4c(0x602)+_0x5ef2a9+',\x20'+_0x26c3db[_0x237d4c(0xc0d)](',\x20')+')';}function resolveEntityAreaName(_0x5a0f29,_0x1af481){const _0x3510b8=_0x160929;if(!_0x1af481||!_0x5a0f29)return null;const _0x3f722c=_0x5a0f29[_0x3510b8(0x197)]?.[_0x1af481];let _0xcd1a19=_0x3f722c?.[_0x3510b8(0x546)]||null;if(!_0xcd1a19&&_0x3f722c?.[_0x3510b8(0xad4)])_0xcd1a19=_0x5a0f29['devices']?.[_0x3f722c[_0x3510b8(0xad4)]]?.[_0x3510b8(0x546)]||null;if(!_0xcd1a19)return null;const _0x5a0ad7=_0x5a0f29['areas']?.[_0xcd1a19]?.[_0x3510b8(0x673)];return typeof _0x5a0ad7===_0x3510b8(0x19d)&&_0x5a0ad7[_0x3510b8(0xa2f)]()?_0x5a0ad7['trim']():null;}function attributeDisplayName(_0x3aaad1,_0x4501f9,_0x177889){const _0x54a9f4=_0x160929;if(!_0x177889)return'';const _0x3da712=_0x3aaad1?.[_0x54a9f4(0x28e)]?.[_0x4501f9];try{const _0x29082c=_0x3aaad1?.[_0x54a9f4(0x66f)];if(typeof _0x29082c==='function'&&_0x3da712){const _0x14a86d=_0x29082c[_0x54a9f4(0x17e)](_0x3aaad1,_0x3da712,_0x177889);if(_0x14a86d)return String(_0x14a86d);}}catch(_0x59e012){}return String(_0x177889)[_0x54a9f4(0x944)](/_/g,'\x20')[_0x54a9f4(0x944)](/\b\w/g,_0x1d2949=>_0x1d2949['toUpperCase']());}function applyAttributeName(_0x12a4e4,_0x47962d,_0x529f57,_0x4cc555,_0x18ca91){const 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_0x526290=_0x1777cd?.[_0x1fde6b(0x28e)]?.[_0x163d62[_0x1fde6b(0xae9)]],_0x4d96e3=String(_0x526290?.['attributes']?.['friendly_name']||(_0x163d62[_0x1fde6b(0x378)]?_0xb362be?.[_0x163d62[_0x1fde6b(0x378)]]?.[_0x1fde6b(0x673)]:null)||_0x163d62[_0x1fde6b(0xae9)]||_0x163d62[_0x1fde6b(0x378)]||''),_0xd15ffd=_0x595ff3?String(_0x595ff3(_0x163d62,_0x3e0402,_0x4d96e3)??_0x4d96e3):_0x4d96e3;if(_0xd15ffd[_0x1fde6b(0x412)]()['includes'](_0x107727[_0x1fde6b(0x412)]()))return;_0x43baea[_0x1fde6b(0x22c)](_0x3e0402,'\x20·\x20'+_0x107727);}),_0x43baea[_0x5ec51c(0xcaa)]?_0x43baea:null;}let _txtMeasureCtx;function measureTextWidth(_0x1d2e2d,_0x23bae6){const _0x5e42b4=_0x160929,_0x35aa58=String(_0x1d2e2d==null?'':_0x1d2e2d);if(_txtMeasureCtx===undefined)try{_txtMeasureCtx=document[_0x5e42b4(0x5c6)](_0x5e42b4(0xa6a))['getContext']('2d')||null;}catch(_0xb0dcd2){_txtMeasureCtx=null;}if(!_txtMeasureCtx)return 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_0x34eb0d[_0x5884f3(0x967)](/\s+/)){if(_0x2f1794(_0x397320)>_0x544578){_0x2f3d86&&(_0x59da4d[_0x5884f3(0xd65)](_0x2f3d86),_0x2f3d86='');_0x2f3d86=_0x325723(_0x397320);continue;}if(!_0x2f3d86)_0x2f3d86=_0x397320;else{if(_0x2f1794(_0x2f3d86+'\x20'+_0x397320)<=_0x544578)_0x2f3d86+='\x20'+_0x397320;else _0x59da4d['push'](_0x2f3d86),_0x2f3d86=_0x397320;}}if(_0x2f3d86)_0x59da4d[_0x5884f3(0xd65)](_0x2f3d86);if(_0x59da4d['length']<=_0x3bbc7e)return{'lines':_0x59da4d,'truncated':![]};const _0x590d4b=_0x59da4d['slice'](0x0,_0x3bbc7e);let _0x1bb459=_0x590d4b[_0x3bbc7e-0x1];while(_0x1bb459[_0x5884f3(0xc70)]>0x1&&_0x2f1794(_0x1bb459+'…')>_0x544578)_0x1bb459=_0x1bb459[_0x5884f3(0x3d3)](0x0,-0x1);return _0x590d4b[_0x3bbc7e-0x1]=_0x1bb459+'…',{'lines':_0x590d4b,'truncated':!![]};}function pickName(_0x585bdd,_0x13c1a2,_0x1830c6){const _0x4dedeb=_0x160929,_0x118666=typeof _0x585bdd===_0x4dedeb(0x19d)&&(_0x585bdd[_0x4dedeb(0x15b)]('{{')||_0x585bdd[_0x4dedeb(0x15b)]('{%'));if(_0x118666)return 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Math[_0x535a50(0x1f5)]((Date[_0x535a50(0xdfa)](+_0x3fae2c[_0x535a50(0x4f9)],+_0x3fae2c['month']-0x1,+_0x3fae2c['day'],_0x3fae2c[_0x535a50(0x715)]==='24'?0x0:+_0x3fae2c['hour'],+_0x3fae2c[_0x535a50(0xc13)],_0x52712c)-_0x302e74)/0xea60);}function _tzOffsetFor(_0x17b82d,_0x445691){const _0x398cef=_0x160929;let _0x21f869=_tzOffIntervals[_0x398cef(0x1a9)](_0x445691);!_0x21f869&&(_0x21f869=[],_tzOffIntervals['set'](_0x445691,_0x21f869));let _0x4a89b9=0x0,_0x432236=_0x21f869[_0x398cef(0xc70)]-0x1;while(_0x4a89b9<=_0x432236){const _0x24b640=_0x4a89b9+_0x432236>>0x1,_0x2ed923=_0x21f869[_0x24b640];if(_0x17b82d<_0x2ed923['s'])_0x432236=_0x24b640-0x1;else{if(_0x17b82d>_0x2ed923['e'])_0x4a89b9=_0x24b640+0x1;else return _0x2ed923[_0x398cef(0x887)];}}const _0x4a1bf9=_tzOffAt(_0x17b82d,_0x445691),_0x49b27a=0x240c8400,_0x34f330=0x10;let _0x1b65d2=_0x17b82d,_0x218753=_0x17b82d;for(let _0x39a6bc=0x0;_0x39a6bc<_0x34f330;_0x39a6bc++){let 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_0x2e6ecb=parseInt(_0x24d578['dataset'][_0x2ca49a(0xd84)]),_0x23a161=_0x13da63(),_0xf58a5f=_0x23a161[_0x2e6ecb];if(!_0xf58a5f)return;const _0x57f045=_0x4536cc[_0x2ca49a(0xdc9)][_0x2ca49a(0x543)];if(_0x57f045[_0x2ca49a(0x52a)](_0x2ca49a(0x916))){const _0x499fb7=parseFloat(_0x4536cc[_0x2ca49a(0xdc9)][_0x2ca49a(0xbab)]);if(!isNaN(_0x499fb7)&&_0x499fb7>0x0)_0xf58a5f[_0x2ca49a(0x980)]=_0x499fb7;}if(_0x57f045[_0x2ca49a(0x52a)](_0x2ca49a(0xbc0))){_0xf58a5f['group_by']=_0x4536cc[_0x2ca49a(0xdc9)][_0x2ca49a(0xbab)];if(_0xf58a5f[_0x2ca49a(0x5fe)]!=='interval')delete _0xf58a5f[_0x2ca49a(0x973)];this[_0x2ca49a(0x207)](),this['_render']();return;}if(_0x57f045['contains'](_0x2ca49a(0x83d))){const _0x1ab1aa=parseFloat(_0x4536cc['target'][_0x2ca49a(0xbab)]);if(isNaN(_0x1ab1aa)||_0x1ab1aa<=0x0)delete _0xf58a5f[_0x2ca49a(0x973)];else _0xf58a5f[_0x2ca49a(0x973)]=_0x1ab1aa;}this[_0x2ca49a(0x207)]();}),_0x1ec5df?.[_0x59dd03(0x2cc)]('click',_0x2d92f0=>{const _0x3880d5=_0x59dd03,_0x4d151b=_0x2d92f0['target'][_0x3880d5(0xc53)]('.asr-del');if(!_0x4d151b)return;const _0x1193b1=parseInt(_0x4d151b[_0x3880d5(0xc53)](_0x3880d5(0xdfb))['dataset'][_0x3880d5(0xd84)]);_0x13da63()['splice'](_0x1193b1,0x1),this[_0x3880d5(0x32f)](),this[_0x3880d5(0x207)]();}),this['shadowRoot']['querySelector'](_0x59dd03(0x34e))?.[_0x59dd03(0x2cc)](_0x59dd03(0x57a),()=>{const _0x1bd79c=_0x59dd03;if(!this[_0x1bd79c(0x13a)][_0x1bd79c(0x761)])this[_0x1bd79c(0x13a)][_0x1bd79c(0x761)]=[...this[_0x1bd79c(0xc5c)][_0x1bd79c(0x761)]||[]];this[_0x1bd79c(0x13a)][_0x1bd79c(0x761)][_0x1bd79c(0x6b5)]({'type':_0x1bd79c(0x5e4),'value':0x0,'label':'','color':'#1D9E75'}),this[_0x1bd79c(0x32f)](),this[_0x1bd79c(0x207)]();}),this[_0x59dd03(0xd5d)][_0x59dd03(0xa9d)](_0x59dd03(0x941))[_0x59dd03(0x9c6)](_0x329054=>{const _0x25bc56=_0x59dd03,_0x48e79c=parseInt(_0x329054['dataset'][_0x25bc56(0x161)]),_0xbbd44b=()=>{const _0x4c391f=_0x25bc56;if(!this[_0x4c391f(0x13a)][_0x4c391f(0x761)])this[_0x4c391f(0x13a)]['annotations']=[...this['_config']['annotations']||[]];return this[_0x4c391f(0x13a)]['annotations'];};_0x329054['querySelector'](_0x25bc56(0x373))?.[_0x25bc56(0x2cc)]('click',()=>{const _0x35597d=_0x25bc56;_0xbbd44b()[_0x35597d(0xe7)](_0x48e79c,0x1),this[_0x35597d(0x32f)](),this[_0x35597d(0x207)]();}),_0x329054['querySelector'](_0x25bc56(0x94e))?.[_0x25bc56(0x2cc)](_0x25bc56(0x7ac),_0x3dd6f6=>{const _0x31cb54=_0x25bc56,_0x2e4069=_0xbbd44b();_0x2e4069[_0x48e79c][_0x31cb54(0x46c)]=_0x3dd6f6[_0x31cb54(0xdc9)][_0x31cb54(0xbab)];if(_0x2e4069[_0x48e79c][_0x31cb54(0x46c)]==='event'||_0x2e4069[_0x48e79c][_0x31cb54(0x46c)]===_0x31cb54(0x2ef)){delete _0x2e4069[_0x48e79c][_0x31cb54(0xbab)],delete _0x2e4069[_0x48e79c][_0x31cb54(0x4ab)];if(!_0x2e4069[_0x48e79c][_0x31cb54(0x8c6)]&&!_0x2e4069[_0x48e79c][_0x31cb54(0xa33)]&&!_0x2e4069[_0x48e79c][_0x31cb54(0x87c)]){_0x2e4069[_0x48e79c][_0x31cb54(0x8c6)]='';if(!_0x2e4069[_0x48e79c][_0x31cb54(0x19c)])_0x2e4069[_0x48e79c][_0x31cb54(0x19c)]='on';}}else{delete _0x2e4069[_0x48e79c][_0x31cb54(0x8c6)],delete _0x2e4069[_0x48e79c][_0x31cb54(0x19c)],delete _0x2e4069[_0x48e79c]['start'],delete _0x2e4069[_0x48e79c][_0x31cb54(0x84c)],delete _0x2e4069[_0x48e79c][_0x31cb54(0x87c)];if(_0x2e4069[_0x48e79c][_0x31cb54(0xbab)]===void 0x0)_0x2e4069[_0x48e79c][_0x31cb54(0xbab)]=0x0;}this[_0x31cb54(0x32f)](),this['_valueChanged']();}),_0x329054[_0x25bc56(0x9f7)]('.ann-source')?.[_0x25bc56(0x2cc)](_0x25bc56(0x7ac),_0x1ee47a=>{const _0x6ee84a=_0x25bc56,_0x1768c9=_0xbbd44b();if(_0x1ee47a[_0x6ee84a(0xdc9)][_0x6ee84a(0xbab)]===_0x6ee84a(0xde9)){delete _0x1768c9[_0x48e79c]['entity'],delete _0x1768c9[_0x48e79c][_0x6ee84a(0x19c)];if(_0x1768c9[_0x48e79c][_0x6ee84a(0x46c)]===_0x6ee84a(0x2ef)){if(!_0x1768c9[_0x48e79c][_0x6ee84a(0xa33)])_0x1768c9[_0x48e79c][_0x6ee84a(0xa33)]='';if(!_0x1768c9[_0x48e79c][_0x6ee84a(0x84c)])_0x1768c9[_0x48e79c]['end']='';}else{if(!_0x1768c9[_0x48e79c][_0x6ee84a(0x87c)])_0x1768c9[_0x48e79c][_0x6ee84a(0x87c)]='';}}else{delete _0x1768c9[_0x48e79c][_0x6ee84a(0xa33)],delete _0x1768c9[_0x48e79c][_0x6ee84a(0x84c)],delete _0x1768c9[_0x48e79c][_0x6ee84a(0x87c)];if(!_0x1768c9[_0x48e79c][_0x6ee84a(0x8c6)])_0x1768c9[_0x48e79c][_0x6ee84a(0x8c6)]='';if(!_0x1768c9[_0x48e79c][_0x6ee84a(0x19c)])_0x1768c9[_0x48e79c][_0x6ee84a(0x19c)]='on';}this[_0x6ee84a(0x32f)](),this['_valueChanged']();}),_0x329054[_0x25bc56(0x9f7)](_0x25bc56(0xcd3))?.[_0x25bc56(0x2cc)]('change',()=>{const _0x2015cb=_0x25bc56,_0xa62bb=_0xbbd44b(),_0x467f8d=_0xa62bb[_0x48e79c][_0x2015cb(0x46c)]===_0x2015cb(0xd79)||_0xa62bb[_0x48e79c][_0x2015cb(0x46c)]===_0x2015cb(0x2ef),_0x48738e=_0x467f8d&&(_0x2015cb(0xa33)in _0xa62bb[_0x48e79c]||'end'in _0xa62bb[_0x48e79c]||_0x2015cb(0x87c)in _0xa62bb[_0x48e79c]),_0x1a8182=_0x329054['querySelector'](_0x2015cb(0xcd3))[_0x2015cb(0xbab)];if(_0x467f8d&&!_0x48738e)_0xa62bb[_0x48e79c][_0x2015cb(0x8c6)]=_0x1a8182;else{if(_0x467f8d&&_0x48738e){if(_0xa62bb[_0x48e79c]['type']===_0x2015cb(0x2ef))_0xa62bb[_0x48e79c][_0x2015cb(0xa33)]=_0x1a8182;else _0xa62bb[_0x48e79c][_0x2015cb(0x87c)]=_0x1a8182;}else _0xa62bb[_0x48e79c]['value']=isNaN(parseFloat(_0x1a8182))?_0x1a8182:parseFloat(_0x1a8182);}this[_0x2015cb(0x207)]();}),_0x329054[_0x25bc56(0x9f7)]('.ann-val2')?.[_0x25bc56(0x2cc)](_0x25bc56(0x7ac),()=>{const _0x437d03=_0x25bc56,_0x1dcc10=_0xbbd44b(),_0x30f033=_0x1dcc10[_0x48e79c][_0x437d03(0x46c)]==='event'||_0x1dcc10[_0x48e79c][_0x437d03(0x46c)]===_0x437d03(0x2ef),_0x29c5fc=_0x30f033&&(_0x437d03(0xa33)in _0x1dcc10[_0x48e79c]||_0x437d03(0x84c)in _0x1dcc10[_0x48e79c]||_0x437d03(0x87c)in _0x1dcc10[_0x48e79c]),_0x3033af=_0x329054[_0x437d03(0x9f7)]('.ann-val2')['value'];if(_0x30f033&&!_0x29c5fc)_0x1dcc10[_0x48e79c][_0x437d03(0x19c)]=_0x3033af;else{if(_0x30f033&&_0x29c5fc){if(_0x1dcc10[_0x48e79c]['type']===_0x437d03(0x2ef))_0x1dcc10[_0x48e79c][_0x437d03(0x84c)]=_0x3033af;}else _0x1dcc10[_0x48e79c][_0x437d03(0x4ab)]=isNaN(parseFloat(_0x3033af))?_0x3033af:parseFloat(_0x3033af);}this[_0x437d03(0x207)]();}),_0x329054[_0x25bc56(0x9f7)](_0x25bc56(0x423))?.['addEventListener'](_0x25bc56(0x7ac),()=>{const _0x27d828=_0x25bc56;_0xbbd44b()[_0x48e79c][_0x27d828(0xb60)]=_0x329054['querySelector'](_0x27d828(0x423))[_0x27d828(0xbab)],this[_0x27d828(0x207)]();}),_0x329054['querySelector'](_0x25bc56(0xd90))?.[_0x25bc56(0x2cc)](_0x25bc56(0x7ac),()=>{const _0x2d4e25=_0x25bc56;_0xbbd44b()[_0x48e79c][_0x2d4e25(0x81a)]=_0x329054[_0x2d4e25(0x9f7)](_0x2d4e25(0xd90))['value'],this[_0x2d4e25(0x207)]();}),_0x329054[_0x25bc56(0x9f7)](_0x25bc56(0x302))?.[_0x25bc56(0x2cc)](_0x25bc56(0x7ac),()=>{const _0x51bbbb=_0x25bc56,_0x2ae716=parseFloat(_0x329054[_0x51bbbb(0x9f7)]('.ann-opacity')['value']);_0xbbd44b()[_0x48e79c][_0x51bbbb(0xa5b)]=isNaN(_0x2ae716)?undefined:_0x2ae716,this[_0x51bbbb(0x207)]();}),_0x329054[_0x25bc56(0x9f7)](_0x25bc56(0x28b))?.[_0x25bc56(0x2cc)](_0x25bc56(0x7ac),_0xb350d5=>{const _0x2dee91=_0x25bc56;_0xbbd44b()[_0x48e79c][_0x2dee91(0xc2f)]=_0xb350d5[_0x2dee91(0xdc9)]['checked'],this[_0x2dee91(0x207)]();});}),this[_0x59dd03(0xd5d)][_0x59dd03(0xa9d)]('input[type=\x22number\x22]')[_0x59dd03(0x9c6)](_0x45258c=>{const _0x18e793=_0x59dd03;_0x45258c['addEventListener'](_0x18e793(0xb20),_0x207968=>{const _0x2daf11=_0x18e793;_0x207968[_0x2daf11(0x56e)]();},{'passive':![]});}),this[_0x59dd03(0xd5d)]['querySelectorAll'](_0x59dd03(0xafe))[_0x59dd03(0x9c6)](_0x25a694=>{const _0x428d8e=_0x59dd03,_0x35bf10=parseInt(_0x25a694[_0x428d8e(0x383)][_0x428d8e(0xb48)]);_0x25a694['querySelector'](_0x428d8e(0x705))?.[_0x428d8e(0x2cc)]('click',_0x3f037e=>{const _0x56e4a4=_0x428d8e;if(_0x3f037e[_0x56e4a4(0xdc9)][_0x56e4a4(0xc53)]('.edb')||_0x3f037e[_0x56e4a4(0xdc9)][_0x56e4a4(0xc53)](_0x56e4a4(0x309)))return;const _0x2f1b60='e-'+_0x35bf10;if(this['_openPanels'][_0x56e4a4(0x628)](_0x2f1b60))this[_0x56e4a4(0x522)][_0x56e4a4(0x172)](_0x2f1b60);else this[_0x56e4a4(0x522)][_0x56e4a4(0x951)](_0x2f1b60);_0x25a694[_0x56e4a4(0x543)][_0x56e4a4(0xa06)](_0x56e4a4(0xcaf));}),_0x25a694[_0x428d8e(0x9f7)](_0x428d8e(0xc30))?.[_0x428d8e(0x2cc)](_0x428d8e(0x57a),_0xdb808f=>{const _0x2654e8=_0x428d8e;_0xdb808f[_0x2654e8(0x56e)]();const _0x1dd06c=[...this[_0x2654e8(0x9dd)]];_0x1dd06c['splice'](_0x35bf10,0x1),this[_0x2654e8(0x13a)]['entities']=_0x1dd06c,this['_openPanels'][_0x2654e8(0x172)]('e-'+_0x35bf10),this[_0x2654e8(0x32f)](),this[_0x2654e8(0x207)]();}),_0x25a694['querySelector'](_0x428d8e(0x309))?.[_0x428d8e(0x2cc)](_0x428d8e(0x57a),_0x1a3a6e=>{const _0x5a6c0a=_0x428d8e;_0x1a3a6e[_0x5a6c0a(0x56e)]();const _0xb4d956=StatisticsGraphChartCard[_0x5a6c0a(0x944)],_0x47924b=structuredClone(this[_0x5a6c0a(0x9dd)][_0x35bf10]);_0x47924b[_0x5a6c0a(0x81a)]=_0xb4d956[this['_entities'][_0x5a6c0a(0x942)]%_0xb4d956[_0x5a6c0a(0x942)]];const _0x4cf662=[...this[_0x5a6c0a(0x9dd)]];_0x4cf662[_0x5a6c0a(0xe7)](_0x35bf10+0x1,0x0,_0x47924b),this['_tmp'][_0x5a6c0a(0xb38)]=_0x4cf662;const _0x3ddc27=_0x35bf10+0x1;this[_0x5a6c0a(0x522)][_0x5a6c0a(0x951)]('e-'+_0x3ddc27),this[_0x5a6c0a(0x80a)][_0x3ddc27]=_0x5a6c0a(0x27d),this[_0x5a6c0a(0x32f)](),this[_0x5a6c0a(0x207)]();}),_0x25a694[_0x428d8e(0xa9d)](_0x428d8e(0xbcc))['forEach'](_0x22c7cd=>{const _0x14af90=_0x428d8e;_0x22c7cd[_0x14af90(0x2cc)]('click',()=>{const _0x2fe222=_0x14af90,_0x192187=_0x22c7cd[_0x2fe222(0x383)]['tab'];this[_0x2fe222(0x80a)][_0x35bf10]=_0x192187,_0x25a694[_0x2fe222(0xa9d)]('.tb')['forEach'](_0x30969d=>_0x30969d[_0x2fe222(0x543)]['toggle']('active',_0x30969d[_0x2fe222(0x383)]['tab']===_0x192187)),_0x25a694['querySelectorAll'](_0x2fe222(0x838))[_0x2fe222(0x9c6)](_0x20134c=>_0x20134c[_0x2fe222(0x543)][_0x2fe222(0xa06)](_0x2fe222(0x504),_0x20134c[_0x2fe222(0x383)]['tc']===_0x192187));});});const _0x2b67c2=(_0x4bfb63,_0x1251cf,_0x3d70ba=_0x428d8e(0xca3))=>{const _0x1c593d=_0x428d8e,_0x1a4521=_0x25a694['querySelector'](_0x4bfb63);if(!_0x1a4521)return;const _0x23def3=_0x1a4521[_0x1c593d(0x46c)]==='checkbox'||_0x1a4521[_0x1c593d(0xbc3)]===_0x1c593d(0xdb1);if(_0x1a4521['type']===_0x1c593d(0x425)){_0x1a4521[_0x1c593d(0x2cc)](_0x1c593d(0x2c1),()=>{const _0x432f6d=_0x1c593d;this[_0x432f6d(0x9dd)][_0x35bf10][_0x1251cf]=this['_read'](_0x1a4521,_0x3d70ba);}),_0x1a4521[_0x1c593d(0x2cc)]('change',()=>{const _0x5bbac5=_0x1c593d;this[_0x5bbac5(0x9dd)][_0x35bf10][_0x1251cf]=this['_read'](_0x1a4521,_0x3d70ba),this[_0x5bbac5(0x207)]();});return;}const _0x1f0fb1=()=>{const _0x3d6a11=_0x1c593d;this['_entities'][_0x35bf10][_0x1251cf]=this[_0x3d6a11(0x99c)](_0x1a4521,_0x3d70ba),this[_0x3d6a11(0x207)]();};_0x1a4521['addEventListener'](_0x23def3?_0x1c593d(0x7ac):_0x1c593d(0x2c1),_0x23def3?_0x1f0fb1:this[_0x1c593d(0x25a)](_0x1f0fb1,0x190));};_0x2b67c2(_0x428d8e(0xc2a),_0x428d8e(0x408),_0x428d8e(0x625));const _0x52ad01=_0x25a694[_0x428d8e(0x9f7)](_0x428d8e(0x680));if(_0x52ad01)_0x52ad01['addEventListener'](_0x428d8e(0x2c1),this[_0x428d8e(0x25a)](()=>{const _0x554286=_0x428d8e,_0x177b5f=_0x52ad01['value'];if(_0x177b5f==='')delete this['_entities'][_0x35bf10]['name'];else this['_entities'][_0x35bf10][_0x554286(0xd82)]=_0x177b5f;this[_0x554286(0x207)]();},0x190));_0x2b67c2(_0x428d8e(0x1ca),_0x428d8e(0xe37),_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0x556),_0x428d8e(0x4b7)),_0x2b67c2(_0x428d8e(0x34f),_0x428d8e(0xf2)),_0x2b67c2(_0x428d8e(0xc0b),'statistic_id'),_0x2b67c2(_0x428d8e(0x9b0),_0x428d8e(0x96),_0x428d8e(0xd70)),_0x2b67c2('.e-line_style','line_style'),_0x2b67c2(_0x428d8e(0xa88),_0x428d8e(0x5c9),_0x428d8e(0x9b4)),_0x2b67c2(_0x428d8e(0x1b7),_0x428d8e(0x891)),_0x2b67c2('.e-graph_type',_0x428d8e(0xcef)),_0x2b67c2('.e-smooth','smooth','bool'),_0x2b67c2(_0x428d8e(0x844),_0x428d8e(0x719),_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0x642),_0x428d8e(0x873),_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0xa20),_0x428d8e(0x6da),_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0x986),_0x428d8e(0xba6),_0x428d8e(0xd70)),_0x2b67c2(_0x428d8e(0x3c0),_0x428d8e(0x531),_0x428d8e(0x625)),_0x2b67c2('.e-point_size',_0x428d8e(0x846),_0x428d8e(0xd70)),_0x2b67c2('.e-show_range_band','show_range_band',_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0x6f4),_0x428d8e(0x10b),'bool'),_0x2b67c2(_0x428d8e(0xd09),_0x428d8e(0x1d7),_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0x5cc),_0x428d8e(0xaa9),_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0x2ee),_0x428d8e(0x9b1),_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0x137),_0x428d8e(0x89e)),_0x2b67c2('.e-price_attribute',_0x428d8e(0x1d1)),_0x2b67c2('.e-ref_entity',_0x428d8e(0x4a4)),_0x2b67c2(_0x428d8e(0x8e8),_0x428d8e(0xae)),_0x2b67c2(_0x428d8e(0xd26),_0x428d8e(0xbac));const _0x2bdf95=_0x25a694[_0x428d8e(0x9f7)](_0x428d8e(0xec)),_0x4cc687=_0x25a694['querySelector'](_0x428d8e(0xe33)),_0xba27cf=()=>{const _0x52128b=_0x428d8e,_0x94d9c9=this[_0x52128b(0x9dd)][_0x35bf10],_0x436850=_0x94d9c9[_0x52128b(0x8e6)],_0x1b1a16=_0x9c0cf2=>_0x9c0cf2&&typeof _0x9c0cf2==='object'?_0x9c0cf2:{'period':_0x9c0cf2===!![]?_0x52128b(0x5e5):String(_0x9c0cf2)};if(!Array[_0x52128b(0x557)](_0x436850))_0x94d9c9[_0x52128b(0x8e6)]=_0x436850?[_0x436850&&typeof _0x436850===_0x52128b(0x4a6)?{..._0x436850}:_0x1b1a16(_0x436850)]:[];else for(let _0x522da5=0x0;_0x522da5<_0x436850[_0x52128b(0x942)];_0x522da5++){if(_0x436850[_0x522da5]!=null&&typeof _0x436850[_0x522da5]!==_0x52128b(0x4a6))_0x436850[_0x522da5]=_0x1b1a16(_0x436850[_0x522da5]);}return _0x94d9c9[_0x52128b(0x8e6)];};_0x4cc687?.[_0x428d8e(0x2cc)](_0x428d8e(0x57a),()=>{const _0x2fab84=_0x428d8e,_0x42e776=_0xba27cf();_0x42e776['push']({}),this[_0x2fab84(0x32f)](),this[_0x2fab84(0x207)]();}),_0x2bdf95?.[_0x428d8e(0x2cc)](_0x428d8e(0x7ac),_0x35fd20=>{const _0x3723fb=_0x428d8e,_0x40e870=_0x35fd20[_0x3723fb(0xdc9)][_0x3723fb(0xc53)](_0x3723fb(0x2b2));if(!_0x40e870)return;const _0xeb43ae=parseInt(_0x40e870[_0x3723fb(0x383)][_0x3723fb(0xd84)]),_0x59a920=_0xba27cf(),_0x37e717=_0x59a920[_0xeb43ae];if(!_0x37e717||typeof _0x37e717!==_0x3723fb(0x4a6))return;const _0x584fce=(_0x2c544c,_0xecf69)=>{if(_0xecf69===undefined)delete _0x37e717[_0x2c544c];else _0x37e717[_0x2c544c]=_0xecf69;},_0x101d13=_0x35fd20[_0x3723fb(0xdc9)][_0x3723fb(0x543)];if(_0x101d13[_0x3723fb(0x52a)](_0x3723fb(0xd8f))){_0x584fce(_0x3723fb(0x500),_0x35fd20[_0x3723fb(0xdc9)][_0x3723fb(0xbab)]===_0x3723fb(0x5e5)?undefined:_0x35fd20[_0x3723fb(0xdc9)][_0x3723fb(0xbab)]);const _0x5f1892=_0x40e870[_0x3723fb(0x9f7)](_0x3723fb(0x8c9));_0x5f1892&&(_0x5f1892[_0x3723fb(0xb22)]=_0x35fd20[_0x3723fb(0xdc9)][_0x3723fb(0xbab)]!==_0x3723fb(0x5e5),_0x5f1892[_0x3723fb(0xb22)]&&(_0x5f1892[_0x3723fb(0xbab)]=_0x3723fb(0x78c),_0x584fce(_0x3723fb(0x4ec),undefined)));}if(_0x101d13[_0x3723fb(0x52a)](_0x3723fb(0xb7a))){const _0x572cf6=Math['max'](0x1,parseInt(_0x35fd20[_0x3723fb(0xdc9)][_0x3723fb(0xbab)])||0x1);_0x584fce(_0x3723fb(0xa53),_0x572cf6===0x1?undefined:_0x572cf6);}if(_0x101d13[_0x3723fb(0x52a)](_0x3723fb(0x200)))_0x584fce(_0x3723fb(0x7e1),_0x35fd20['target']['value']===_0x3723fb(0x9ab)?undefined:_0x35fd20['target'][_0x3723fb(0xbab)]);if(_0x101d13[_0x3723fb(0x52a)](_0x3723fb(0x7a2)))_0x584fce('layout',_0x35fd20[_0x3723fb(0xdc9)][_0x3723fb(0xbab)]===_0x3723fb(0x68f)?_0x3723fb(0x68f):undefined);if(_0x101d13[_0x3723fb(0x52a)](_0x3723fb(0x5a0))){const 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_0x967373=_0x1df8b0[_0x16a59f(0xdc9)]['value'][_0x16a59f(0x9b)]('{{');_0x1dfa2e[_0x16a59f(0x91c)][_0x16a59f(0xa5b)]=_0x967373?_0x16a59f(0xe38):'',_0x1dfa2e[_0x16a59f(0x91c)][_0x16a59f(0x11f)]=_0x967373?_0x16a59f(0xc8b):'';}),_0x2bdf95?.[_0x428d8e(0x2cc)](_0x428d8e(0x57a),_0x24d19e=>{const _0x541e9d=_0x428d8e,_0x1c85ee=_0x24d19e[_0x541e9d(0xdc9)][_0x541e9d(0xc53)](_0x541e9d(0x8a6));if(!_0x1c85ee)return;const _0x597675=parseInt(_0x1c85ee['closest'](_0x541e9d(0x2b2))[_0x541e9d(0x383)][_0x541e9d(0xd84)]),_0x2d5bb2=_0xba27cf();_0x2d5bb2[_0x541e9d(0xe7)](_0x597675,0x1);if(!_0x2d5bb2['length'])delete this[_0x541e9d(0x9dd)][_0x35bf10][_0x541e9d(0x8e6)];this[_0x541e9d(0x32f)](),this[_0x541e9d(0x207)]();});const _0x58df21=_0x25a694[_0x428d8e(0x9f7)]('.e-show_state');if(_0x58df21)_0x58df21[_0x428d8e(0x2cc)](_0x428d8e(0x7ac),()=>{const 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_0x4b2c66=_0x428d8e;this['_entities'][_0x35bf10][_0x4b2c66(0x5b2)]=this[_0x4b2c66(0x99c)](_0x4f7098,'text'),this[_0x4b2c66(0x32f)](),this['_valueChanged']();});_0x2b67c2(_0x428d8e(0xc3c),'name_position'),_0x2b67c2('.e-state_adaptive_color',_0x428d8e(0x7a5),_0x428d8e(0x625)),_0x2b67c2('.e-show_color_dot','show_color_dot',_0x428d8e(0x625)),_0x2b67c2(_0x428d8e(0x44d),_0x428d8e(0x6b3),_0x428d8e(0x625)),_0x2b67c2('.e-show_range_values',_0x428d8e(0xbb0),_0x428d8e(0x625)),_0x2b67c2('.e-show_in_legend','show_in_legend',_0x428d8e(0x625));const _0x279d82=()=>{const 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_0x2decd2=_0x428d8e;_0x2eaa0c(),this[_0x2decd2(0x9dd)][_0x35bf10]['color_thresholds'][_0x2decd2(0x4fd)]=_0x94ad42[_0x2decd2(0xdc9)][_0x2decd2(0x233)],this[_0x2decd2(0x207)]();}),_0x2fbbb8?.['addEventListener'](_0x428d8e(0x57a),()=>{const _0x477df8=_0x428d8e;_0x2eaa0c(),this[_0x477df8(0x9dd)][_0x35bf10][_0x477df8(0x41b)][_0x477df8(0x55c)][_0x477df8(0x6b5)]({'value':0x0,'color':'#ff4757'}),this['_render'](),this['_valueChanged']();}),_0x4ecb90?.[_0x428d8e(0x2cc)]('change',_0x273a05=>{const _0x1b45bc=_0x428d8e,_0x4ef408=_0x273a05[_0x1b45bc(0xdc9)][_0x1b45bc(0xc53)](_0x1b45bc(0xda4));if(!_0x4ef408)return;const _0x1bc15e=parseInt(_0x4ef408[_0x1b45bc(0x383)]['row']);_0x2eaa0c();if(_0x273a05[_0x1b45bc(0xdc9)][_0x1b45bc(0x543)][_0x1b45bc(0x52a)](_0x1b45bc(0x3b1))){const _0xe11514=_0x273a05['target'][_0x1b45bc(0xbab)][_0x1b45bc(0xe46)]();this[_0x1b45bc(0x9dd)][_0x35bf10]['color_thresholds'][_0x1b45bc(0x55c)][_0x1bc15e][_0x1b45bc(0xbab)]=/^[a-z_]+\.[a-z0-9_]+/i[_0x1b45bc(0xc00)](_0xe11514)?_0xe11514:parseFloat(_0xe11514),this[_0x1b45bc(0x207)]();}_0x273a05['target'][_0x1b45bc(0x543)][_0x1b45bc(0x52a)](_0x1b45bc(0x898))&&(this['_entities'][_0x35bf10]['color_thresholds'][_0x1b45bc(0x55c)][_0x1bc15e][_0x1b45bc(0x81a)]=_0x273a05[_0x1b45bc(0xdc9)][_0x1b45bc(0xbab)],this['_valueChanged']()),_0x273a05[_0x1b45bc(0xdc9)]['classList']['contains']('thr-col-pick')&&(this['_entities'][_0x35bf10][_0x1b45bc(0x41b)][_0x1b45bc(0x55c)][_0x1bc15e]['color']=_0x273a05[_0x1b45bc(0xdc9)][_0x1b45bc(0xbab)],this[_0x1b45bc(0x32f)](),this[_0x1b45bc(0x207)]());}),_0x4ecb90?.[_0x428d8e(0x2cc)]('click',_0x41da0c=>{const _0x540d4f=_0x428d8e,_0x24880c=_0x41da0c[_0x540d4f(0xdc9)][_0x540d4f(0xc53)]('.thr-del');if(!_0x24880c)return;const _0x3098e=parseInt(_0x24880c[_0x540d4f(0xc53)](_0x540d4f(0xda4))[_0x540d4f(0x383)]['row']);_0x2eaa0c(),this[_0x540d4f(0x9dd)][_0x35bf10][_0x540d4f(0x41b)][_0x540d4f(0x55c)][_0x540d4f(0xe7)](_0x3098e,0x1),this['_render'](),this[_0x540d4f(0x207)]();});const _0x31426a=_0x25a694['querySelector'](_0x428d8e(0xd16)),_0x1d8d83=_0x25a694[_0x428d8e(0x9f7)](_0x428d8e(0x698)),_0x51c367=()=>{const _0x19e49c=_0x428d8e;if(!Array[_0x19e49c(0x557)](this[_0x19e49c(0x9dd)][_0x35bf10][_0x19e49c(0x5e8)]))this[_0x19e49c(0x9dd)][_0x35bf10]['moving_averages']=[];};_0x1d8d83?.[_0x428d8e(0x2cc)](_0x428d8e(0x57a),()=>{const _0x34e7ca=_0x428d8e;_0x51c367();const _0x49e063=['#f1c40f',_0x34e7ca(0xbee),_0x34e7ca(0xc41),_0x34e7ca(0x48f),_0x34e7ca(0xbb6)],_0x27752f=this[_0x34e7ca(0x9dd)][_0x35bf10][_0x34e7ca(0x5e8)][_0x34e7ca(0x942)];this[_0x34e7ca(0x9dd)][_0x35bf10][_0x34e7ca(0x5e8)][_0x34e7ca(0x6b5)]({'period':_0x27752f===0x0?0x7:0x1a,'color':_0x49e063[_0x27752f%_0x49e063[_0x34e7ca(0x942)]]}),this[_0x34e7ca(0x32f)](),this[_0x34e7ca(0x207)]();}),_0x31426a?.[_0x428d8e(0x2cc)](_0x428d8e(0x7ac),_0x1e6fe4=>{const _0x190b67=_0x428d8e,_0x8f2e6=_0x1e6fe4[_0x190b67(0xdc9)][_0x190b67(0xc53)](_0x190b67(0xd4b));if(!_0x8f2e6)return;const _0x31d2e2=parseInt(_0x8f2e6[_0x190b67(0x383)][_0x190b67(0xd84)]);_0x51c367(),_0x1e6fe4[_0x190b67(0xdc9)][_0x190b67(0x543)][_0x190b67(0x52a)](_0x190b67(0x8c7))&&(this['_entities'][_0x35bf10][_0x190b67(0x5e8)][_0x31d2e2][_0x190b67(0x500)]=Math['max'](0x1,parseInt(_0x1e6fe4['target']['value'])||0x1),this[_0x190b67(0x207)]()),_0x1e6fe4['target']['classList']['contains'](_0x190b67(0x1e8))&&(this[_0x190b67(0x9dd)][_0x35bf10][_0x190b67(0x5e8)][_0x31d2e2][_0x190b67(0x81a)]=_0x1e6fe4[_0x190b67(0xdc9)][_0x190b67(0xbab)],this[_0x190b67(0x207)]()),_0x1e6fe4['target'][_0x190b67(0x543)][_0x190b67(0x52a)](_0x190b67(0x6d5))&&(this[_0x190b67(0x9dd)][_0x35bf10][_0x190b67(0x5e8)][_0x31d2e2][_0x190b67(0x5fa)]=_0x1e6fe4[_0x190b67(0xdc9)]['checked'],this[_0x190b67(0x207)]());}),_0x31426a?.['addEventListener']('click',_0x21ac95=>{const _0x929e37=_0x428d8e,_0x1e9395=_0x21ac95[_0x929e37(0xdc9)]['closest'](_0x929e37(0x23e));if(!_0x1e9395)return;const _0x1458db=parseInt(_0x1e9395[_0x929e37(0xc53)](_0x929e37(0xd4b))[_0x929e37(0x383)][_0x929e37(0xd84)]);_0x51c367(),this[_0x929e37(0x9dd)][_0x35bf10]['moving_averages']['splice'](_0x1458db,0x1),this[_0x929e37(0x32f)](),this[_0x929e37(0x207)]();}),_0x25a694[_0x428d8e(0xa9d)](_0x428d8e(0x2b8))[_0x428d8e(0x9c6)](_0x37f57b=>{const _0x20cb21=_0x428d8e;_0x37f57b[_0x20cb21(0x2cc)](_0x20cb21(0xb20),_0x190cbd=>{const _0x35e142=_0x20cb21;_0x190cbd[_0x35e142(0x56e)]();},{'passive':![]});});const _0x49ba4b=_0x25a694[_0x428d8e(0x9f7)](_0x428d8e(0x51a));_0x49ba4b?.['addEventListener'](_0x428d8e(0xa19),_0x5ed088=>{const _0x4cc019=_0x428d8e;this[_0x4cc019(0x168)]=_0x35bf10,_0x5ed088['dataTransfer'][_0x4cc019(0xcbf)]=_0x4cc019(0x117),_0x25a694['style'][_0x4cc019(0xa5b)]=_0x4cc019(0x677);}),_0x49ba4b?.[_0x428d8e(0x2cc)]('dragend',()=>{const _0x11e8d0=_0x428d8e;this[_0x11e8d0(0x168)]=null,_0x25a694[_0x11e8d0(0x91c)]['opacity']='1',this['shadowRoot'][_0x11e8d0(0xa9d)](_0x11e8d0(0xafe))[_0x11e8d0(0x9c6)](_0x159c7f=>_0x159c7f['classList'][_0x11e8d0(0x996)]('drag-over'));}),_0x25a694[_0x428d8e(0x2cc)](_0x428d8e(0xa3f),_0x1e07c6=>{const _0x18ac2b=_0x428d8e;if(this[_0x18ac2b(0x168)]===null||this[_0x18ac2b(0x168)]===_0x35bf10)return;_0x1e07c6[_0x18ac2b(0xe3d)](),_0x1e07c6[_0x18ac2b(0xd41)]['dropEffect']=_0x18ac2b(0x117),_0x25a694[_0x18ac2b(0x543)]['add'](_0x18ac2b(0xafa));}),_0x25a694[_0x428d8e(0x2cc)](_0x428d8e(0xb95),()=>{const _0x20d5aa=_0x428d8e;_0x25a694[_0x20d5aa(0x543)][_0x20d5aa(0x996)]('drag-over');}),_0x25a694['addEventListener'](_0x428d8e(0x5f3),_0x388861=>{const _0x2f5a3c=_0x428d8e;_0x388861[_0x2f5a3c(0xe3d)](),_0x25a694[_0x2f5a3c(0x543)][_0x2f5a3c(0x996)](_0x2f5a3c(0xafa));if(this[_0x2f5a3c(0x168)]!==null&&this[_0x2f5a3c(0x168)]!==_0x35bf10){const _0x4e17bb=[...this['_entities']],[_0xd03bd7]=_0x4e17bb[_0x2f5a3c(0xe7)](this[_0x2f5a3c(0x168)],0x1);_0x4e17bb[_0x2f5a3c(0xe7)](_0x35bf10,0x0,_0xd03bd7),this['_tmp'][_0x2f5a3c(0xb38)]=_0x4e17bb,this[_0x2f5a3c(0x32f)](),this['_valueChanged']();}});});const _0x354692=(_0x8fb992,_0x4a9451)=>{const _0x579122=_0x59dd03;if(!_0x8fb992)return;_0x8fb992['disabled']=!![];const _0x5f5c46=_0x8fb992[_0x579122(0xc53)](_0x579122(0xb60))||_0x8fb992[_0x579122(0xcf6)];if(!_0x5f5c46)return;_0x5f5c46[_0x579122(0x91c)]['opacity']=_0x579122(0xaab),_0x5f5c46[_0x579122(0x915)]=this[_0x579122(0x2df)](_0x579122(0x48c))+':\x0a'+_0x4a9451;const _0x1820f6=_0x5f5c46['querySelector'](_0x579122(0x29a))||_0x5f5c46;if(_0x1820f6&&!_0x1820f6[_0x579122(0x9f7)](_0x579122(0x26c))){const _0x3aff82=document['createElement'](_0x579122(0x2ef));_0x3aff82['className']='tpl-badge',_0x3aff82[_0x579122(0x564)]=_0x579122(0xbc2),_0x3aff82['style']['cssText']=_0x579122(0x7ea),_0x1820f6[_0x579122(0x715)](_0x3aff82);}};for(const _0x2e5a40 of TEMPLATABLE_BOOL_CARD_KEYS){isTemplateString(this[_0x59dd03(0x13a)]?.[_0x2e5a40])&&_0x354692(this['shadowRoot'][_0x59dd03(0x7d9)](_0x2e5a40),this[_0x59dd03(0x13a)][_0x2e5a40]);}this[_0x59dd03(0xd5d)][_0x59dd03(0xa9d)]('.ec')['forEach']((_0xe4b324,_0x554f27)=>{const _0x1ab1a9=_0x59dd03,_0x57d5db=this[_0x1ab1a9(0x9dd)][_0x554f27];if(!_0x57d5db)return;for(const _0x232ec5 of TEMPLATABLE_BOOL_ENTITY_KEYS){isTemplateString(_0x57d5db[_0x232ec5])&&_0x354692(_0xe4b324[_0x1ab1a9(0x9f7)](_0x1ab1a9(0xac2)+_0x232ec5),_0x57d5db[_0x232ec5]);}});}['_on'](_0x45d4cb,_0x238b64,_0x23c143){const _0x8a565c=_0x51ece7,_0x4cc15f=this[_0x8a565c(0xd5d)][_0x8a565c(0x7d9)](_0x45d4cb);if(!_0x4cc15f)return;if(_0x238b64===_0x8a565c(0x2c1)&&_0x4cc15f[_0x8a565c(0x46c)]==='number'){_0x4cc15f['addEventListener'](_0x8a565c(0x7ac),_0x23c143);return;}_0x4cc15f[_0x8a565c(0x2cc)](_0x238b64,_0x23c143);}[_0x51ece7(0x99c)](_0x147eb2,_0x3fedea='text'){const _0x48f0cc=_0x51ece7;if(_0x3fedea===_0x48f0cc(0x625))return!!_0x147eb2[_0x48f0cc(0x233)];if(_0x3fedea===_0x48f0cc(0x9b4)){const _0x24ffb1=parseInt(_0x147eb2[_0x48f0cc(0xbab)],0xa);return isNaN(_0x24ffb1)?null:_0x24ffb1;}if(_0x3fedea==='float'){const _0x57b08c=parseFloat(_0x147eb2[_0x48f0cc(0xbab)]);return isNaN(_0x57b08c)?null:_0x57b08c;}return _0x147eb2[_0x48f0cc(0xbab)];}['_valueChanged'](){const _0x5f4f11=_0x51ece7,_0x5a7c4d=this[_0x5f4f11(0x13a)]||this[_0x5f4f11(0xc5c)]||{},_0x16fe79=_0x2c6a49=>this[_0x5f4f11(0xd5d)][_0x5f4f11(0x7d9)](_0x2c6a49)||(_0x5a7c4d&&_0x2c6a49 in _0x5a7c4d?{'value':_0x5a7c4d[_0x2c6a49]==null?'':String(_0x5a7c4d[_0x2c6a49]),'checked':_0x5a7c4d[_0x2c6a49]===!![]}:null),_0x19c559=_0x3a1fa6=>_0x16fe79(_0x3a1fa6)?.[_0x5f4f11(0xbab)],_0x19f772=(_0x41533a,_0x430e86)=>{const _0x2a428e=_0x5f4f11,_0x172f82=this[_0x2a428e(0x13a)]?.[_0x41533a];return isTemplateString(_0x172f82)?_0x172f82:_0x430e86;},_0x499255={'type':_0x5f4f11(0x651),'card_header':_0x19c559(_0x5f4f11(0x4d6))||void 0x0,'card_header_size':_0x19c559(_0x5f4f11(0xbe6))||void 0x0,'card_background_color':_0x19c559('card_background_color')||void 0x0,'card_shadow':_0x16fe79(_0x5f4f11(0x4fc))?.['checked']??!![],'card_border':_0x16fe79(_0x5f4f11(0x615))?.[_0x5f4f11(0x233)]??!![],'card_padding':((()=>{const _0x1c61e0=_0x5f4f11,_0x2c7e9f=_0x19c559(_0x1c61e0(0x9c5));if(!_0x2c7e9f)return void 0x0;return/^-?\d+\.?\d*$/[_0x1c61e0(0xc00)](_0x2c7e9f['trim']())?parseFloat(_0x2c7e9f):_0x2c7e9f;})()),'card_border_radius':((()=>{const _0x380fcc=_0x5f4f11,_0x7d4827=_0x19c559(_0x380fcc(0x2a6));if(!_0x7d4827)return void 0x0;return/^-?\d+\.?\d*$/[_0x380fcc(0xc00)](_0x7d4827[_0x380fcc(0xe46)]())?parseFloat(_0x7d4827):_0x7d4827;})()),'card_border_color':_0x19c559(_0x5f4f11(0x9c))||void 0x0,'card_border_width':((()=>{const _0x45146c=_0x5f4f11,_0x46ea22=_0x19c559('card_border_width');if(!_0x46ea22)return void 0x0;return/^-?\d+\.?\d*$/[_0x45146c(0xc00)](_0x46ea22[_0x45146c(0xe46)]())?parseFloat(_0x46ea22):_0x46ea22;})()),'card_background_image':_0x19c559(_0x5f4f11(0x105))||void 0x0,'card_background_blur':((()=>{const _0x2dc211=_0x5f4f11,_0x57aa39=_0x19c559(_0x2dc211(0xcfc));if(_0x57aa39===''||_0x57aa39==null)return void 0x0;const _0x237f6f=parseFloat(_0x57aa39);return isNaN(_0x237f6f)?void 0x0:_0x237f6f;})()),'card_header_color':_0x19c559(_0x5f4f11(0xa7a))||void 0x0,'card_header_weight':_0x19c559(_0x5f4f11(0x749))||void 0x0,'card_header_letter_spacing':((()=>{const _0xb1db8e=_0x5f4f11,_0x2657bc=_0x19c559(_0xb1db8e(0x870));if(!_0x2657bc)return void 0x0;return/^-?\d+\.?\d*$/['test'](_0x2657bc[_0xb1db8e(0xe46)]())?parseFloat(_0x2657bc):_0x2657bc;})()),'show_now_line':_0x19f772('show_now_line',_0x16fe79('show_now_line')?.[_0x5f4f11(0x233)]??!![]),'now_line_color':_0x19c559(_0x5f4f11(0x905))||void 0x0,'period_highlight':_0x19f772(_0x5f4f11(0x8dd),_0x16fe79(_0x5f4f11(0x8dd))?.['checked']||void 0x0),'period_highlight_color':_0x19c559(_0x5f4f11(0x848))||void 0x0,'now_line_opacity':((()=>{const _0x592f72=_0x19c559('now_line_opacity');if(_0x592f72===''||_0x592f72==null)return void 0x0;const _0x32ba52=parseFloat(_0x592f72);return isNaN(_0x32ba52)?void 0x0:_0x32ba52;})()),'now_line_width':((()=>{const _0x1a204b=_0x5f4f11,_0x426c3c=_0x19c559(_0x1a204b(0x939));if(_0x426c3c===''||_0x426c3c==null)return void 0x0;const _0x20580c=parseFloat(_0x426c3c);return isNaN(_0x20580c)?void 0x0:_0x20580c;})()),'now_line_style':_0x19c559(_0x5f4f11(0x8b1))||void 0x0,'card_icon':this['_tmp'][_0x5f4f11(0xdcc)]||void 0x0,'card_icon_size':_0x19c559('card_icon_size')||void 0x0,'card_icon_image':_0x19c559(_0x5f4f11(0xc43))||void 0x0,'card_icon_color':this[_0x5f4f11(0x13a)]['card_icon_color']||void 0x0,'card_icon_position':_0x19c559(_0x5f4f11(0x63e))||void 0x0,'battery_entity':this[_0x5f4f11(0x13a)][_0x5f4f11(0x710)]!==void 0x0?this[_0x5f4f11(0x13a)][_0x5f4f11(0x710)]:this['_config']['battery_entity']||void 0x0,'battery_low_threshold':((()=>{const _0x4868ee=_0x5f4f11,_0x1160a1=_0x19c559(_0x4868ee(0x3c9));if(!_0x1160a1)return;const _0x72aeee=parseFloat(_0x1160a1);return isNaN(_0x72aeee)?_0x1160a1:_0x72aeee;})()),'show_grid':_0x19f772(_0x5f4f11(0x17b),_0x16fe79('show_grid')?.['checked']??!![]),'show_cell_values':_0x19f772(_0x5f4f11(0x765),_0x16fe79(_0x5f4f11(0x765))?.[_0x5f4f11(0x233)]??!![]),'show_tooltip':_0x19f772(_0x5f4f11(0x2d2),_0x16fe79(_0x5f4f11(0x2d2))?.[_0x5f4f11(0x233)]??!![]),'show_tooltip_total':_0x19f772(_0x5f4f11(0xa93),_0x16fe79(_0x5f4f11(0xa93))?.[_0x5f4f11(0x233)]??!![]),'tooltip_stacked_total':_0x19f772('tooltip_stacked_total',_0x16fe79(_0x5f4f11(0x386))?.[_0x5f4f11(0x233)]??!![]),'show_legend':_0x19f772(_0x5f4f11(0xbd7),_0x16fe79('show_legend')?.['checked']??![]),'include_area_names':_0x16fe79(_0x5f4f11(0x9f))?.[_0x5f4f11(0x233)]||void 0x0,'include_attribute_name':_0x16fe79(_0x5f4f11(0xcc3))?.[_0x5f4f11(0x233)]||void 0x0,'use_only_attribute_name':_0x16fe79(_0x5f4f11(0x6dd))?.[_0x5f4f11(0x233)]||void 0x0,'legend_position':_0x19c559(_0x5f4f11(0x11e))||void 0x0,'show_y_axis':_0x19f772(_0x5f4f11(0x56c),_0x16fe79(_0x5f4f11(0x56c))?.[_0x5f4f11(0x233)]??!![]),'show_y2_axis':_0x19f772(_0x5f4f11(0x148),_0x16fe79(_0x5f4f11(0x148))?.[_0x5f4f11(0x233)]??![]),'show_y_axis_label':_0x19f772(_0x5f4f11(0x37a),_0x16fe79(_0x5f4f11(0x37a))?.[_0x5f4f11(0x233)]??![]),'show_x_axis':_0x19f772(_0x5f4f11(0x6e3),_0x16fe79(_0x5f4f11(0x6e3))?.[_0x5f4f11(0x233)]??!![]),'show_x_ticks':_0x19f772('show_x_ticks',_0x16fe79(_0x5f4f11(0x82e))?.['checked']??![]),'show_y_ticks':_0x19f772('show_y_ticks',_0x16fe79('show_y_ticks')?.[_0x5f4f11(0x233)]??![]),'logarithmic':_0x19f772(_0x5f4f11(0x113),_0x16fe79(_0x5f4f11(0x113))?.[_0x5f4f11(0x233)]??![]),'animate_graph':_0x16fe79('animate_graph')?.['checked']??![],'auto_hide_entities':_0x16fe79(_0x5f4f11(0xca7))?.[_0x5f4f11(0x233)]??![],'brush_zoom':_0x16fe79('brush_zoom')?.[_0x5f4f11(0x233)]??!![],'drill_down':_0x16fe79(_0x5f4f11(0x16a))?.['checked']?!![]:undefined,'stacked':_0x19f772(_0x5f4f11(0xb76),_0x16fe79('stacked')?.[_0x5f4f11(0x233)]??![]),'sparkline':_0x16fe79(_0x5f4f11(0x69f))?.[_0x5f4f11(0x233)]??![],'max_visible_interval':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0xd7d))),'extended_window_multiplier':this['_numOrNull'](_0x19c559(_0x5f4f11(0x6df))),'scroll_mode':_0x19c559(_0x5f4f11(0x293))||'scrollbar','show_interval_picker':_0x16fe79(_0x5f4f11(0x328))?.[_0x5f4f11(0x233)]??![],'interval_picker_position':_0x19c559(_0x5f4f11(0xcce))||void 0x0,'interval_options':((()=>{const _0x35c77c=_0x5f4f11,_0x2265b0=this[_0x35c77c(0xd5d)][_0x35c77c(0xa9d)](_0x35c77c(0x1a7));if(!_0x2265b0[_0x35c77c(0x942)])return _0x5a7c4d[_0x35c77c(0x927)];const _0x1426f1=['1H','2H','4H','8H',_0x35c77c(0x312),_0x35c77c(0x3e8),'7D'],_0x5c7794=[];_0x2265b0['forEach'](_0x49dc0e=>{const _0x3f2658=_0x35c77c;if(_0x49dc0e['checked'])_0x5c7794[_0x3f2658(0x6b5)](_0x49dc0e[_0x3f2658(0x383)]['intlabel']);});if(_0x5c7794['length']===_0x1426f1[_0x35c77c(0x942)]&&_0x1426f1[_0x35c77c(0xb15)](_0x44a1be=>_0x5c7794['includes'](_0x44a1be)))return;return _0x5c7794;})()),'show_attribute_list':_0x16fe79(_0x5f4f11(0x6f0))?.[_0x5f4f11(0x233)]??![],'attribute_list_position':_0x19c559(_0x5f4f11(0x822))||void 0x0,'show_pph_picker':_0x16fe79(_0x5f4f11(0x856))?.[_0x5f4f11(0x233)]??![],'pph_picker_position':_0x19c559(_0x5f4f11(0x3ef))||void 0x0,'show_group_by_picker':_0x16fe79('show_group_by_picker')?.[_0x5f4f11(0x233)]??![],'group_by_picker_position':_0x19c559(_0x5f4f11(0x940))||void 0x0,'pph_picker_group':_0x19c559('pph_picker_group')||void 0x0,'group_by_picker_group':_0x19c559(_0x5f4f11(0xd7b))||void 0x0,'hours_to_show':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0xb45))),'points_per_hour':this[_0x5f4f11(0x15a)](_0x19c559('points_per_hour')),'auto_scale_points':_0x16fe79('auto_scale_points')?.[_0x5f4f11(0x233)]??![],'tooltip_match_axis':_0x16fe79(_0x5f4f11(0xbb7))?.[_0x5f4f11(0x233)]??![],'tooltip_order':_0x19c559(_0x5f4f11(0x8f0))||void 0x0,'height':((()=>{const _0x45f2cf=_0x5f4f11,_0x23db27=_0x19c559('height');if(_0x23db27===void 0x0||_0x23db27===null||String(_0x23db27)[_0x45f2cf(0xe46)]()==='')return _0x45f2cf(0x5fc);const _0x16fe5c=Number(_0x23db27);return isNaN(_0x16fe5c)?'auto':_0x16fe5c;})()),'update_interval':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0x9af))),'graph_start_hour':((()=>{const _0x469fe9=_0x5f4f11,_0x3c7417=_0x19c559(_0x469fe9(0x85e));if(!_0x3c7417)return null;const _0x5040e7=parseFloat(_0x3c7417);return isNaN(_0x5040e7)?_0x3c7417:_0x5040e7;})()),'graph_end_hour':((()=>{const _0x6cbd6e=_0x5f4f11,_0x2d8f0e=_0x19c559(_0x6cbd6e(0xbe8));if(!_0x2d8f0e)return null;const _0x252bac=parseFloat(_0x2d8f0e);return isNaN(_0x252bac)?_0x2d8f0e:_0x252bac;})()),'graph_start':_0x19c559(_0x5f4f11(0xb8))||void 0x0,'show_full_period':_0x16fe79('show_full_period')?.[_0x5f4f11(0x233)]??![],'bar_spacing':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0xdc5))),'state_timeline_corner_radius':this[_0x5f4f11(0x15a)](_0x19c559('state_timeline_corner_radius')),'state_timeline_show_labels':_0x19f772('state_timeline_show_labels',_0x16fe79(_0x5f4f11(0x733))?.['checked']??!![]),'state_timeline_label_font_size':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0x369))),'show_export':_0x19f772(_0x5f4f11(0xe2c),_0x16fe79(_0x5f4f11(0xe2c))?.[_0x5f4f11(0x233)]||void 0x0),'ranking_min_value':this[_0x5f4f11(0x15a)](_0x19c559('ranking_min_value')),'pie_style':_0x19c559(_0x5f4f11(0x722))||void 0x0,'pie_spacing':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0x919))),'pie_3d':_0x16fe79(_0x5f4f11(0x5cf))?.[_0x5f4f11(0x233)]??![],'pie_label_font_size':this['_numOrNull'](_0x19c559('pie_label_font_size')),'pie_label_color':_0x19c559(_0x5f4f11(0xaaa))||void 0x0,'pie_label_format':_0x19c559(_0x5f4f11(0xd5e))||void 0x0,'gauge_columns':this[_0x5f4f11(0x15a)](_0x19c559('gauge_columns')),'gauge_value_position':_0x19c559(_0x5f4f11(0x2c8))||void 0x0,'gauge_value_size':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0x3fb))),'gauge_span':this['_numOrNull'](_0x19c559(_0x5f4f11(0x55d))),'gauge_show_minmax':_0x16fe79('gauge_show_minmax')?.[_0x5f4f11(0x233)]||void 0x0,'pie_center_font_size':this[_0x5f4f11(0x15a)](_0x19c559('pie_center_font_size')),'pie_center_color':_0x19c559(_0x5f4f11(0x6f9))||void 0x0,'min_bound_range':this['_numOrNull'](_0x19c559(_0x5f4f11(0x952))),'min_bound_range_secondary':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0xdae))),'lower_bound_secondary':_0x19c559(_0x5f4f11(0x6f6))||void 0x0,'upper_bound_secondary':_0x19c559('upper_bound_secondary')||void 0x0,'lower_bound':_0x19c559(_0x5f4f11(0x827))||void 0x0,'upper_bound':_0x19c559(_0x5f4f11(0xd0))||void 0x0,'y_axis_ticks':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0x632))),'y_axis_round_ticks':_0x16fe79(_0x5f4f11(0x259))?.[_0x5f4f11(0x233)]??!![],'y_axis_decimals':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0x2ea))),'y_axis_number_format':_0x19c559(_0x5f4f11(0x779))||_0x5f4f11(0xd28),'y_axis_label':_0x19c559('y_axis_label')||void 0x0,'y_axis_format':_0x19c559('y_axis_format')||void 0x0,'y2_axis_format':_0x19c559('y2_axis_format')||void 0x0,'duration_unit':_0x19c559(_0x5f4f11(0x6e7))==='s'?void 0x0:_0x19c559(_0x5f4f11(0x6e7))||void 0x0,'y2_axis_label':_0x19c559('y2_axis_label')||void 0x0,'y_axis_font_size':this[_0x5f4f11(0x15a)](_0x19c559('y_axis_font_size')),'y_axis_font_opacity':this['_numOrNull'](_0x19c559(_0x5f4f11(0x4e7))),'y_axis_color':_0x19c559(_0x5f4f11(0x512))||void 0x0,'x_axis_font_size':this[_0x5f4f11(0x15a)](_0x19c559('x_axis_font_size')),'x_axis_font_opacity':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0xc22))),'x_axis_color':_0x19c559(_0x5f4f11(0x65f))||void 0x0,'x_axis_date_color':_0x19c559('x_axis_date_color')||void 0x0,'x_axis_interval':_0x19c559(_0x5f4f11(0xd2))||void 0x0,'datetime_format':_0x19c559(_0x5f4f11(0x93a))||void 0x0,'time_zone':_0x19c559(_0x5f4f11(0xa05))&&_0x19c559('time_zone')!=='auto'?_0x19c559(_0x5f4f11(0xa05)):void 0x0,'language':_0x19c559(_0x5f4f11(0x444))&&_0x19c559(_0x5f4f11(0x444))!==_0x5f4f11(0x5fc)?_0x19c559(_0x5f4f11(0x444)):void 0x0,'x_grid_style':_0x19c559(_0x5f4f11(0xd53))||void 0x0,'x_grid_width':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0xcf0))),'x_grid_color':_0x19c559(_0x5f4f11(0x9cd))||void 0x0,'x_grid_opacity':this['_numOrNull'](_0x19c559(_0x5f4f11(0x459))),'y_grid_style':_0x19c559('y_grid_style')||void 0x0,'y_grid_width':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0x7a7))),'y_grid_color':_0x19c559(_0x5f4f11(0x6bd))||void 0x0,'y_grid_opacity':this[_0x5f4f11(0x15a)](_0x19c559(_0x5f4f11(0xcb8))),'tooltip_sync':_0x16fe79(_0x5f4f11(0x4ef))?.[_0x5f4f11(0x233)]??![],'zoom_sync':_0x16fe79('zoom_sync')?.[_0x5f4f11(0x233)]??![],'scroll_sync':_0x16fe79(_0x5f4f11(0x49a))?.[_0x5f4f11(0x233)]??![],'energy_date_sync':_0x16fe79(_0x5f4f11(0x7de))?.[_0x5f4f11(0x233)]??![],'energy_collection_key':(_0x19c559(_0x5f4f11(0xcc7))||'')['trim']()||void 0x0,'show_date_picker':_0x16fe79(_0x5f4f11(0x212))?.['checked']??![],'date_picker_position':_0x19c559(_0x5f4f11(0x541))||void 0x0,'date_picker_nav_position':_0x19c559(_0x5f4f11(0x62f))===_0x5f4f11(0xa52)?void 0x0:_0x19c559('date_picker_nav_position')||void 0x0,'date_picker_shortcuts_position':_0x19c559(_0x5f4f11(0xdff))===_0x5f4f11(0xd44)?void 0x0:_0x19c559('date_picker_shortcuts_position')||void 0x0,'date_picker_default_mode':_0x19c559('date_picker_default_mode')||void 0x0,'date_picker_group':_0x19c559('date_picker_group')||void 0x0,'interval_picker_group':_0x19c559('interval_picker_group')||void 0x0,'date_picker_modes':((()=>{const _0x373877=_0x5f4f11,_0x5dae2c=this[_0x373877(0xd5d)][_0x373877(0xa9d)](_0x373877(0xe16));if(!_0x5dae2c[_0x373877(0x942)])return _0x5a7c4d[_0x373877(0xc26)];const _0x202bb7=[_0x373877(0xaef),'week',_0x373877(0x4b3),'year'],_0x3a4a40=[];_0x5dae2c[_0x373877(0x9c6)](_0x1f9148=>{const _0x432bad=_0x373877;if(_0x1f9148['checked'])_0x3a4a40[_0x432bad(0x6b5)](_0x1f9148[_0x432bad(0x383)]['dpmode']);});if(_0x3a4a40[_0x373877(0x942)]===_0x202bb7[_0x373877(0x942)]&&_0x202bb7[_0x373877(0xb15)](_0x97f12=>_0x3a4a40[_0x373877(0x9b)](_0x97f12)))return;if(_0x3a4a40[_0x373877(0x942)]===0x0)return;return _0x3a4a40;})()),'date_picker_step':((()=>{const _0x150fe0=_0x5f4f11,_0x3af965=this[_0x150fe0(0x15a)](_0x19c559('date_picker_step'));return _0x3af965&&_0x3af965>0x1?_0x3af965:void 0x0;})()),'tooltip_sync_group':_0x19c559(_0x5f4f11(0xbfa))||void 0x0,'zoom_sync_group':_0x19c559(_0x5f4f11(0x850))||void 0x0,'scroll_sync_group':_0x19c559(_0x5f4f11(0x684))||void 0x0,'align_header':_0x19c559(_0x5f4f11(0xc71))||void 0x0,'state_layout':_0x19c559(_0x5f4f11(0x3f3))||void 0x0,'group_by':_0x19c559('group_by')||void 0x0,'chart_mode':_0x19c559('chart_mode')||_0x5f4f11(0x8ec),'chart_align':_0x19c559(_0x5f4f11(0x508))||void 0x0,'entities':this[_0x5f4f11(0x8e0)](this[_0x5f4f11(0x9dd)],!![]),'annotations':this['_tmp'][_0x5f4f11(0x761)]||this[_0x5f4f11(0xc5c)][_0x5f4f11(0x761)]||[],'auto_scale_rules':(_0x29fe6f=>_0x29fe6f['length']?_0x29fe6f:void 0x0)((this[_0x5f4f11(0x13a)]['auto_scale_rules']||this[_0x5f4f11(0xc5c)][_0x5f4f11(0xcc)]||[])[_0x5f4f11(0x101)](_0x20eec5=>_0x20eec5&&typeof _0x20eec5===_0x5f4f11(0x4a6)&&isNum(toNum(_0x20eec5[_0x5f4f11(0x980)]))&&toNum(_0x20eec5[_0x5f4f11(0x980)])>0x0)[_0x5f4f11(0x89f)](_0x5e078b=>{const _0x5e09c7=_0x5f4f11,_0x26ed7d={'up_to_hours':toNum(_0x5e078b[_0x5e09c7(0x980)]),'group_by':_0x5e078b['group_by']||_0x5e09c7(0x36a)},_0x6fbb2f=toNum(_0x5e078b[_0x5e09c7(0x973)]);if(isNum(_0x6fbb2f)&&_0x6fbb2f>0x0)_0x26ed7d[_0x5e09c7(0x973)]=_0x6fbb2f;if(typeof _0x5e078b[_0x5e09c7(0xd2)]===_0x5e09c7(0x355)&&_0x5e078b[_0x5e09c7(0xd2)]['trim']())_0x26ed7d[_0x5e09c7(0xd2)]=_0x5e078b[_0x5e09c7(0xd2)][_0x5e09c7(0xe46)]();if(typeof _0x5e078b[_0x5e09c7(0x93a)]===_0x5e09c7(0x355)&&_0x5e078b[_0x5e09c7(0x93a)][_0x5e09c7(0xe46)]())_0x26ed7d[_0x5e09c7(0x93a)]=_0x5e078b[_0x5e09c7(0x93a)][_0x5e09c7(0xe46)]();if(typeof _0x5e078b['x_axis_datetime_format']==='string'&&_0x5e078b['x_axis_datetime_format']['trim']())_0x26ed7d[_0x5e09c7(0x826)]=_0x5e078b[_0x5e09c7(0x826)][_0x5e09c7(0xe46)]();return _0x26ed7d;}))};for(const _0x143fb4 of Object['keys'](this[_0x5f4f11(0xc5c)]))if(!(_0x143fb4 in _0x499255))_0x499255[_0x143fb4]=this[_0x5f4f11(0xc5c)][_0x143fb4];Object['keys'](_0x499255)[_0x5f4f11(0x9c6)](_0x1294a6=>_0x499255[_0x1294a6]===void 0x0&&delete _0x499255[_0x1294a6]);const _0x4ae0b3=StatisticsGraphChartCard[_0x5f4f11(0xa26)];for(const _0x1c0d60 of Object[_0x5f4f11(0x7c3)](_0x499255)){if(!(_0x1c0d60 in _0x4ae0b3))continue;if(_0x1c0d60==='height')continue;const _0x2d278d=_0x499255[_0x1c0d60],_0x5e674b=_0x4ae0b3[_0x1c0d60],_0x261158=(_0x2d278d===null||_0x2d278d===''||_0x2d278d===void 0x0)&&(_0x5e674b===null||_0x5e674b===''||_0x5e674b===void 0x0);if(_0x261158||_0x2d278d===_0x5e674b)delete _0x499255[_0x1c0d60];}this['_tmp']=structuredClone(_0x499255);const _0x5192bb=structuredClone(_0x499255);_0x5192bb['entities']=this[_0x5f4f11(0x8e0)](this[_0x5f4f11(0x9dd)],![]),JSON[_0x5f4f11(0x2a7)](this[_0x5f4f11(0xc5c)])!==JSON[_0x5f4f11(0x2a7)](_0x5192bb)&&(this[_0x5f4f11(0xc5c)]=structuredClone(_0x5192bb),this[_0x5f4f11(0x179)](new CustomEvent(_0x5f4f11(0xaf0),{'detail':{'config':_0x5192bb},'bubbles':!![],'composed':!![]})));}[_0x51ece7(0x8e0)](_0x436189,_0x27c865=![]){const _0x38a2ae=_0x51ece7,_0x5ec7c7=[],_0xbaa2de=StatisticsGraphChartCard[_0x38a2ae(0x587)](),_0x15e886=new Set([_0x38a2ae(0x8c6),_0x38a2ae(0x7fb),_0x38a2ae(0xd82),'color']);for(const _0x203c58 of _0x436189){if(!_0x203c58)continue;if(!_0x203c58[_0x38a2ae(0x8c6)]&&!_0x203c58['statistic_id']&&!_0x27c865)continue;const _0xae9354={..._0x203c58};[_0x38a2ae(0x96),_0x38a2ae(0x846),_0x38a2ae(0xde5),_0x38a2ae(0xaff),_0x38a2ae(0x973),_0x38a2ae(0x80e),_0x38a2ae(0x5b4),'fill_opacity'][_0x38a2ae(0x9c6)](_0x307f9b=>{if(_0xae9354[_0x307f9b]!==void 0x0&&_0xae9354[_0x307f9b]!==null&&_0xae9354[_0x307f9b]!=='')_0xae9354[_0x307f9b]=Number(_0xae9354[_0x307f9b]);});_0xae9354[_0x38a2ae(0x5c9)]===''||_0xae9354[_0x38a2ae(0x5c9)]===null||Number(_0xae9354[_0x38a2ae(0x5c9)])===0x0||isNaN(Number(_0xae9354['z_index']))?delete _0xae9354['z_index']:_0xae9354[_0x38a2ae(0x5c9)]=Number(_0xae9354['z_index']);Object[_0x38a2ae(0x7c3)](_0xae9354)[_0x38a2ae(0x9c6)](_0x4ca870=>_0xae9354[_0x4ca870]===''&&_0x4ca870!==_0x38a2ae(0x8c6)&&_0x4ca870!==_0x38a2ae(0xd82)?delete _0xae9354[_0x4ca870]:0x0),delete _0xae9354[_0x38a2ae(0x93a)];if(_0xae9354[_0x38a2ae(0x41b)]){if(!Array['isArray'](_0xae9354[_0x38a2ae(0x41b)]['values']))_0xae9354[_0x38a2ae(0x41b)][_0x38a2ae(0x55c)]=[];const _0x34e787=_0x31ca43=>typeof _0x31ca43==='string'&&(/^[a-z_]+\.[a-z0-9_]+/i['test'](_0x31ca43)||_0x31ca43[_0x38a2ae(0x9b)]('{{'));_0xae9354[_0x38a2ae(0x41b)][_0x38a2ae(0x55c)]=_0xae9354[_0x38a2ae(0x41b)][_0x38a2ae(0x55c)][_0x38a2ae(0x101)](_0x455e49=>_0x455e49&&(_0x34e787(_0x455e49[_0x38a2ae(0xbab)])||!isNaN(parseFloat(_0x455e49[_0x38a2ae(0xbab)]))))[_0x38a2ae(0x89f)](_0x3ecac1=>({'value':_0x34e787(_0x3ecac1[_0x38a2ae(0xbab)])?_0x3ecac1[_0x38a2ae(0xbab)]:Number(_0x3ecac1[_0x38a2ae(0xbab)]),'color':_0x3ecac1[_0x38a2ae(0x81a)]||'#ff4757'}));if(_0xae9354[_0x38a2ae(0x41b)]['transition']&&_0xae9354[_0x38a2ae(0x41b)][_0x38a2ae(0xd02)]!==_0x38a2ae(0xc8e));else delete _0xae9354['color_thresholds']['transition'];if(!_0xae9354[_0x38a2ae(0x41b)]['last_color'])delete _0xae9354[_0x38a2ae(0x41b)][_0x38a2ae(0x4fd)];}if(_0xae9354[_0x38a2ae(0x8e6)]!==undefined){const _0x1fa68a=_0xae9354[_0x38a2ae(0x8e6)],_0x121014=_0xc75bba=>{const _0x34e8fd=_0x38a2ae;if(!_0xc75bba||typeof _0xc75bba!=='object')return null;const _0x3108d7={};for(const _0xf4e8e0 of[_0x34e8fd(0x500),_0x34e8fd(0x81a),_0x34e8fd(0xa5b),_0x34e8fd(0x96),_0x34e8fd(0x873),_0x34e8fd(0x531),_0x34e8fd(0x635),_0x34e8fd(0xacd),_0x34e8fd(0xb90),_0x34e8fd(0x706)]){if(_0xc75bba[_0xf4e8e0]!==undefined&&_0xc75bba[_0xf4e8e0]!==null&&_0xc75bba[_0xf4e8e0]!=='')_0x3108d7[_0xf4e8e0]=_0xc75bba[_0xf4e8e0];}if(_0xc75bba[_0x34e8fd(0x7e1)]&&_0xc75bba[_0x34e8fd(0x7e1)]!==_0x34e8fd(0x9ab))_0x3108d7[_0x34e8fd(0x7e1)]=_0xc75bba[_0x34e8fd(0x7e1)];if(_0xc75bba[_0x34e8fd(0x4ec)]===_0x34e8fd(0x68f))_0x3108d7['layout']=_0x34e8fd(0x68f);const _0xc71544=parseInt(_0xc75bba[_0x34e8fd(0xa53)]);if(!isNaN(_0xc71544)&&_0xc71544>0x1)_0x3108d7[_0x34e8fd(0xa53)]=_0xc71544;return _0x3108d7;};if(!_0x1fa68a)delete _0xae9354[_0x38a2ae(0x8e6)];else{if(Array[_0x38a2ae(0x557)](_0x1fa68a)){const _0x484a02=_0x1fa68a[_0x38a2ae(0x101)](Boolean)['map'](_0x2e9b6e=>_0x2e9b6e&&typeof _0x2e9b6e===_0x38a2ae(0x4a6)?_0x2e9b6e:{'period':_0x2e9b6e===!![]?_0x38a2ae(0x5e5):String(_0x2e9b6e)})[_0x38a2ae(0x89f)](_0x121014);if(!_0x484a02[_0x38a2ae(0x942)])delete _0xae9354[_0x38a2ae(0x8e6)];else{if(_0x484a02[_0x38a2ae(0x942)]===0x1){const _0x8bd1b7=_0x484a02[0x0],_0x187f67=Object[_0x38a2ae(0x7c3)](_0x8bd1b7);if(!_0x187f67[_0x38a2ae(0x942)])_0xae9354['compare']=_0x38a2ae(0x5e5);else{if(_0x187f67['length']===0x1&&_0x8bd1b7[_0x38a2ae(0x500)])_0xae9354['compare']=_0x8bd1b7[_0x38a2ae(0x500)];else _0xae9354['compare']=_0x8bd1b7;}}else _0xae9354[_0x38a2ae(0x8e6)]=_0x484a02;}}else{if(typeof _0x1fa68a===_0x38a2ae(0x4a6)){const _0x1a7346=_0x121014(_0x1fa68a);if(!_0x1a7346[_0x38a2ae(0x500)]&&Object['keys'](_0x1a7346)[_0x38a2ae(0x942)])_0x1a7346['period']=_0x38a2ae(0x5e5);if(!_0x1a7346['period'])delete _0xae9354['compare'];else{if(Object[_0x38a2ae(0x7c3)](_0x1a7346)[_0x38a2ae(0x942)]===0x1)_0xae9354[_0x38a2ae(0x8e6)]=_0x1a7346[_0x38a2ae(0x500)];else _0xae9354['compare']=_0x1a7346;}}}}}if(Array[_0x38a2ae(0x557)](_0xae9354[_0x38a2ae(0x5e8)])){_0xae9354['moving_averages']=_0xae9354[_0x38a2ae(0x5e8)][_0x38a2ae(0x101)](_0x1607ff=>_0x1607ff&&!isNaN(parseInt(_0x1607ff[_0x38a2ae(0x500)]))&&parseInt(_0x1607ff[_0x38a2ae(0x500)])>0x0)['map'](_0x45b496=>{const _0x353b00=_0x38a2ae,_0x4f62e9={'period':parseInt(_0x45b496[_0x353b00(0x500)])};if(_0x45b496[_0x353b00(0x81a)])_0x4f62e9[_0x353b00(0x81a)]=_0x45b496['color'];if(_0x45b496[_0x353b00(0x97e)]!=null&&_0x45b496['width']!==''&&!isNaN(Number(_0x45b496[_0x353b00(0x97e)])))_0x4f62e9[_0x353b00(0x97e)]=Number(_0x45b496[_0x353b00(0x97e)]);if(_0x45b496[_0x353b00(0x5fa)])_0x4f62e9[_0x353b00(0x5fa)]=!![];return _0x4f62e9;});if(!_0xae9354[_0x38a2ae(0x5e8)]['length'])delete _0xae9354[_0x38a2ae(0x5e8)];}if(!_0x27c865)for(const _0x888091 of Object[_0x38a2ae(0x7c3)](_0xae9354)){if(_0x15e886[_0x38a2ae(0x628)](_0x888091))continue;if(!(_0x888091 in _0xbaa2de))continue;const _0x1212b5=_0xae9354[_0x888091],_0x41d567=_0xbaa2de[_0x888091],_0x2b56a6=(_0x1212b5===null||_0x1212b5===''||_0x1212b5===void 0x0)&&(_0x41d567===null||_0x41d567===''||_0x41d567===void 0x0);if(Array['isArray'](_0x1212b5)&&Array[_0x38a2ae(0x557)](_0x41d567)){if(JSON[_0x38a2ae(0x2a7)](_0x1212b5)===JSON[_0x38a2ae(0x2a7)](_0x41d567))delete _0xae9354[_0x888091];continue;}if(_0x2b56a6||_0x1212b5===_0x41d567)delete _0xae9354[_0x888091];}_0x5ec7c7[_0x38a2ae(0x6b5)](_0xae9354);}return _0x5ec7c7;}[_0x51ece7(0x15a)](_0x3b0da3){if(_0x3b0da3===void 0x0||_0x3b0da3===null||_0x3b0da3==='')return;const _0x3f2269=Number(_0x3b0da3);return isNaN(_0x3f2269)?void 0x0:_0x3f2269;}[_0x51ece7(0x703)](){const _0x4209e0=_0x51ece7,_0x445290=StatisticsGraphChartCard[_0x4209e0(0x944)],_0x234d1a=this[_0x4209e0(0x9dd)]?.[_0x4209e0(0x942)]||0x0;return{...StatisticsGraphChartCard[_0x4209e0(0x587)](),'color':_0x445290[_0x234d1a%_0x445290[_0x4209e0(0x942)]]};}[_0x51ece7(0x9fa)](_0x2f085f,_0x2d1f56){const _0x4ae69c=_0x51ece7;return isEditorFieldRelevant(_0x4ae69c(0x8c6),_0x2f085f,_0x2d1f56);}[_0x51ece7(0x5ad)](_0x5f5590,_0x3c8c46){const _0x101169=_0x51ece7;return isEditorFieldRelevant(_0x101169(0x713),_0x5f5590,_0x3c8c46);}[_0x51ece7(0xc0)](){const _0x3c5240=_0x51ece7,_0x3a61c1=this[_0x3c5240(0xd5d)];if(!_0x3a61c1)return;const _0x3d0ba8=this[_0x3c5240(0xc5c)]?.[_0x3c5240(0xc14)]||_0x3c5240(0x8ec),_0x570c95='sgc-mode-off',_0x482250=_0x59b642=>{const _0xa1138=_0x3c5240,_0x4124e5=_0x59b642[_0xa1138(0xc53)](_0xa1138(0x8fb))||_0x59b642;_0x4124e5[_0xa1138(0x543)][_0xa1138(0x951)](_0x570c95);};for(const _0xe965a1 of _0x3a61c1[_0x3c5240(0xa9d)](_0x3c5240(0xaba))){if(!_0xe965a1['id'])continue;const _0x100bef=_0xe965a1['id'][_0x3c5240(0x934)](/(_pick|-picker)$/,'');if(!this[_0x3c5240(0x5ad)](_0x100bef,_0x3d0ba8))_0x482250(_0xe965a1);}for(const _0xbda81c of _0x3a61c1['querySelectorAll'](_0x3c5240(0x1c9))){for(const _0x1bfb64 of _0xbda81c[_0x3c5240(0x543)]){if(_0x1bfb64[_0x3c5240(0x942)]<0x3||_0x1bfb64[_0x3c5240(0x53c)](0x0,0x2)!=='e-')continue;const _0x3fe683=_0x1bfb64[_0x3c5240(0x53c)](0x2)[_0x3c5240(0x934)](/(_pick|-picker)$/,'');if(!this[_0x3c5240(0x9fa)](_0x3fe683,_0x3d0ba8)){_0x482250(_0xbda81c);break;}}}const _0x3f07e8=_0x3c5240(0x7d5)+_0x3c5240(0x502),_0x11f18c=_0x2dd1dc=>[..._0x2dd1dc[_0x3c5240(0xa9d)](_0x3f07e8)][_0x3c5240(0xaf3)](_0x4e3020=>!_0x4e3020['closest']('.'+_0x570c95)),_0x11fedc=_0x555a58=>{const _0x21296f=_0x3c5240;for(const _0x18bdb0 of _0x3a61c1[_0x21296f(0xa9d)](_0x555a58)){if(_0x18bdb0[_0x21296f(0x543)][_0x21296f(0x52a)](_0x570c95))continue;if(!_0x11f18c(_0x18bdb0))_0x18bdb0[_0x21296f(0x543)][_0x21296f(0x951)](_0x570c95);}};_0x11fedc('.r2,\x20.r3,\x20.sg'),_0x11fedc(_0x3c5240(0x36d));const _0x55af3c=(_0x1f8683,_0x399998,_0x448545,_0x345e75)=>{const _0x5b8423=_0x3c5240;let _0x384cc3=null,_0x29e224=![];const _0x3faa09=[..._0x1f8683[_0x5b8423(0xa9d)]('['+_0x399998+']')];for(const _0xd47ff of _0x3faa09){const _0x32e2ac=_0x1f8683['querySelector']('['+_0x448545+'=\x22'+_0xd47ff[_0x5b8423(0xd2f)](_0x399998)+'\x22]');if(!_0x11f18c(_0xd47ff)){_0xd47ff['classList'][_0x5b8423(0x951)](_0x570c95);if(_0x32e2ac)_0x32e2ac[_0x5b8423(0x543)][_0x5b8423(0x951)](_0x570c95);continue;}if(!_0x384cc3)_0x384cc3={'pane':_0xd47ff,'btn':_0x32e2ac};if(_0xd47ff[_0x5b8423(0x543)]['contains'](_0x5b8423(0x504)))_0x29e224=!![];}if(!_0x29e224&&_0x384cc3){for(const _0x5453fb of _0x3faa09)_0x5453fb[_0x5b8423(0x543)][_0x5b8423(0x996)](_0x5b8423(0x504));for(const _0x2a0a6c of _0x1f8683[_0x5b8423(0xa9d)]('['+_0x448545+']'))_0x2a0a6c[_0x5b8423(0x543)]['remove'](_0x5b8423(0x504));_0x384cc3['pane']['classList']['add'](_0x5b8423(0x504));if(_0x384cc3[_0x5b8423(0xba3)])_0x384cc3[_0x5b8423(0xba3)][_0x5b8423(0x543)]['add'](_0x5b8423(0x504));_0x345e75?.(_0x384cc3[_0x5b8423(0x68d)][_0x5b8423(0xd2f)](_0x399998));}};_0x55af3c(_0x3a61c1,_0x3c5240(0x3bc),_0x3c5240(0x653),_0x5552f8=>{this['_mainTab']=_0x5552f8;});const 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a/www/community/Statistics-Graph-Chart-Card/statistics-graph-chart-card.js.gz and b/www/community/Statistics-Graph-Chart-Card/statistics-graph-chart-card.js.gz differ diff --git a/www/community/Statistics-Graph-Chart-Card/translations.js b/www/community/Statistics-Graph-Chart-Card/translations.js index dac55fed..bcbc2e29 100644 --- a/www/community/Statistics-Graph-Chart-Card/translations.js +++ b/www/community/Statistics-Graph-Chart-Card/translations.js @@ -1,4 +1,4 @@ -export const T_VERSION = "4.01"; +export const T_VERSION = "4.02"; export const LANG_NAMES = Object.freeze({ en: "English", cs: "Čeština", da: "Dansk", de: "Deutsch", es: "Español", @@ -480,6 +480,7 @@ export const I18N = Object.freeze({ "End": "Bitiş", "End value": "Bitiş değeri", "Energy Date Sync": "Enerji Tarih Senkronu", + "Key": "Anahtar", "Entities": "Varlıklar", "Entity": "Varlık", "Falling": "Düşen", @@ -573,6 +574,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Çizginin altındaki dolgunun gücü: 0 (görünmez) ile 1 (tam dolu) arası. Varsayılan 0.4 için boş bırakın. Gradient açıkken bu üstteki opaklıktır, aşağı doğru sekizde birine solar; Gradient kapalıyken düz dolgu bunun yarısını kullanır.", "Overlay": "Katman", "Overlays are hidden in sparkline mode": "Katmanlar sparkline modunda gizlidir", + "Layout": "Yerleşim", + "Sequential": "Ardışık", "Padding": "İç Boşluk", "Percentage": "Yüzde", "Percentages": "Yüzdeler", @@ -1259,6 +1262,7 @@ export const I18N = Object.freeze({ "End": "Ende", "End value": "Endwert", "Energy Date Sync": "Energie-Datumssynchronisierung", + "Key": "Schlüssel", "Entities": "Entitäten", "Entity": "Entität", "Falling": "Fallend", @@ -1352,6 +1356,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Wie kräftig die Füllung unter der Linie ist, von 0 (unsichtbar) bis 1 (deckend). Leer lassen für den Standardwert 0,4. Mit Farbverlauf ist dies die Deckkraft oben, die nach unten auf ein Achtel davon ausblendet; ohne Farbverlauf nutzt die flache Füllung die Hälfte davon.", "Overlay": "Overlay", "Overlays are hidden in sparkline mode": "Overlays sind im Sparkline-Modus ausgeblendet", + "Layout": "Layout", + "Sequential": "Sequenziell", "Padding": "Innenabstand", "Percentage": "Prozentsatz", "Percentages": "Prozentwerte", @@ -2063,6 +2069,7 @@ export const I18N = Object.freeze({ "End": "Konec", "End value": "Koncová hodnota", "Energy Date Sync": "Synchronizace s daty Energie", + "Key": "Klíč", "Entities": "Entity", "Entity": "Entita", "Falling": "Klesající", @@ -2156,6 +2163,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Jak silná je výplň pod čarou, od 0 (neviditelná) do 1 (plná). Ponechte prázdné pro výchozí 0,4. Se zapnutým přechodem je to krytí nahoře, které dolů slábne na osminu; s vypnutým přechodem používá plochá výplň polovinu této hodnoty.", "Overlay": "Překryv", "Overlays are hidden in sparkline mode": "Překryvy jsou v režimu sparkline skryté", + "Layout": "Rozvržení", + "Sequential": "Sekvenční", "Padding": "Vnitřní okraj", "Percentage": "Procento", "Percentages": "Procenta", @@ -2867,6 +2876,7 @@ export const I18N = Object.freeze({ "End": "Slut", "End value": "Slutværdi", "Energy Date Sync": "Synkronisering med Energi-datoer", + "Key": "Nøgle", "Entities": "Enheder", "Entity": "Enhed", "Falling": "Faldende", @@ -2960,6 +2970,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Hvor kraftig udfyldningen under linjen er, fra 0 (usynlig) til 1 (helt dækkende). Lad feltet stå tomt for standardværdien 0,4. Med gradient er dette dækkraften i toppen, der falmer til en ottendedel nederst; uden gradient bruger den flade udfyldning halvdelen.", "Overlay": "Overlejring", "Overlays are hidden in sparkline mode": "Overlejringer er skjult i sparkline-tilstand", + "Layout": "Layout", + "Sequential": "Sekventiel", "Padding": "Indre margen", "Percentage": "Procent", "Percentages": "Procentdele", @@ -3671,6 +3683,7 @@ export const I18N = Object.freeze({ "End": "Fin", "End value": "Valor final", "Energy Date Sync": "Sincronización con fechas de Energía", + "Key": "Clave", "Entities": "Entidades", "Entity": "Entidad", "Falling": "Descendente", @@ -3764,6 +3777,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Qué tan intenso es el relleno bajo la línea, de 0 (invisible) a 1 (sólido). Déjalo vacío para el valor predeterminado 0,4. Con degradado es la opacidad en la parte superior, que se desvanece hasta un octavo abajo; sin degradado el relleno plano usa la mitad.", "Overlay": "Superposición", "Overlays are hidden in sparkline mode": "Las superposiciones están ocultas en modo sparkline", + "Layout": "Disposición", + "Sequential": "Secuencial", "Padding": "Relleno interior", "Percentage": "Porcentaje", "Percentages": "Porcentajes", @@ -4475,6 +4490,7 @@ export const I18N = Object.freeze({ "End": "Loppu", "End value": "Loppuarvo", "Energy Date Sync": "Synkronointi Energia-päivämääriin", + "Key": "Avain", "Entities": "Entiteetit", "Entity": "Entiteetti", "Falling": "Laskeva", @@ -4568,6 +4584,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Kuinka vahva viivan alapuolinen täyttö on, väliltä 0 (näkymätön) ja 1 (täysin peittävä). Jätä tyhjäksi oletusarvolle 0,4. Liukuvärin kanssa tämä on peittävyys ylhäällä, joka häipyy alas kahdeksasosaan; ilman liukuväriä tasainen täyttö käyttää tästä puolet.", "Overlay": "Päällys", "Overlays are hidden in sparkline mode": "Päällykset on piilotettu sparkline-tilassa", + "Layout": "Asettelu", + "Sequential": "Peräkkäinen", "Padding": "Sisäreunus", "Percentage": "Prosentti", "Percentages": "Prosentit", @@ -5279,6 +5297,7 @@ export const I18N = Object.freeze({ "End": "Fin", "End value": "Valeur finale", "Energy Date Sync": "Synchronisation des dates Énergie", + "Key": "Clé", "Entities": "Entités", "Entity": "Entité", "Falling": "En baisse", @@ -5372,6 +5391,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Intensité du remplissage sous la courbe, de 0 (invisible) à 1 (opaque). Laissez vide pour la valeur par défaut 0,4. Avec le dégradé, c'est l'opacité en haut, qui s'estompe jusqu'au huitième en bas ; sans dégradé, le remplissage uni en utilise la moitié.", "Overlay": "Superposition", "Overlays are hidden in sparkline mode": "Les superpositions sont masquées en mode sparkline", + "Layout": "Disposition", + "Sequential": "Séquentiel", "Padding": "Marge intérieure", "Percentage": "Pourcentage", "Percentages": "Pourcentages", @@ -6083,6 +6104,7 @@ export const I18N = Object.freeze({ "End": "Fine", "End value": "Valore finale", "Energy Date Sync": "Sincronizzazione date Energia", + "Key": "Chiave", "Entities": "Entità", "Entity": "Entità", "Falling": "In discesa", @@ -6176,6 +6198,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Quanto è intenso il riempimento sotto la linea, da 0 (invisibile) a 1 (pieno). Lascia vuoto per il valore predefinito 0,4. Con il gradiente è l'opacità in alto, che sfuma fino a un ottavo in basso; senza gradiente il riempimento piatto ne usa la metà.", "Overlay": "Overlay", "Overlays are hidden in sparkline mode": "Gli overlay sono nascosti in modalità sparkline", + "Layout": "Layout", + "Sequential": "Sequenziale", "Padding": "Spaziatura interna", "Percentage": "Percentuale", "Percentages": "Percentuali", @@ -6887,6 +6911,7 @@ export const I18N = Object.freeze({ "End": "Einde", "End value": "Eindwaarde", "Energy Date Sync": "Synchronisatie met Energie-datums", + "Key": "Sleutel", "Entities": "Entiteiten", "Entity": "Entiteit", "Falling": "Dalend", @@ -6980,6 +7005,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Hoe sterk de vulling onder de lijn is, van 0 (onzichtbaar) tot 1 (dekkend). Laat leeg voor de standaardwaarde 0,4. Met gradiënt is dit de dekking bovenaan, die naar onderen vervaagt tot een achtste; zonder gradiënt gebruikt de vlakke vulling de helft.", "Overlay": "Overlay", "Overlays are hidden in sparkline mode": "Overlays zijn verborgen in sparkline-modus", + "Layout": "Indeling", + "Sequential": "Sequentieel", "Padding": "Binnenmarge", "Percentage": "Percentage", "Percentages": "Percentages", @@ -7691,6 +7718,7 @@ export const I18N = Object.freeze({ "End": "Slutt", "End value": "Sluttverdi", "Energy Date Sync": "Synkronisering med Energi-datoer", + "Key": "Nøkkel", "Entities": "Entiteter", "Entity": "Entitet", "Falling": "Fallende", @@ -7784,6 +7812,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Hvor kraftig fyllet under linjen er, fra 0 (usynlig) til 1 (dekkende). La feltet stå tomt for standardverdien 0,4. Med gradient er dette dekkevnen øverst, som toner ned til en åttedel nederst; uten gradient bruker det flate fyllet halvparten.", "Overlay": "Overlegg", "Overlays are hidden in sparkline mode": "Overlegg er skjult i sparkline-modus", + "Layout": "Oppsett", + "Sequential": "Sekvensiell", "Padding": "Indre marg", "Percentage": "Prosent", "Percentages": "Prosentandeler", @@ -8495,6 +8525,7 @@ export const I18N = Object.freeze({ "End": "Koniec", "End value": "Wartość końcowa", "Energy Date Sync": "Synchronizacja z datami Energii", + "Key": "Klucz", "Entities": "Encje", "Entity": "Encja", "Falling": "Spadek", @@ -8588,6 +8619,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Jak mocne jest wypełnienie pod linią, od 0 (niewidoczne) do 1 (pełne). Pozostaw puste, aby użyć domyślnej wartości 0,4. Przy gradiencie jest to krycie u góry, zanikające do jednej ósmej na dole; bez gradientu płaskie wypełnienie używa połowy tej wartości.", "Overlay": "Nakładka", "Overlays are hidden in sparkline mode": "Nakładki są ukryte w trybie sparkline", + "Layout": "Układ", + "Sequential": "Sekwencyjny", "Padding": "Margines wewnętrzny", "Percentage": "Procent", "Percentages": "Procenty", @@ -9299,6 +9332,7 @@ export const I18N = Object.freeze({ "End": "Fim", "End value": "Valor final", "Energy Date Sync": "Sincronização com datas de Energia", + "Key": "Chave", "Entities": "Entidades", "Entity": "Entidade", "Falling": "Em queda", @@ -9392,6 +9426,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Qual a intensidade do preenchimento abaixo da linha, de 0 (invisível) a 1 (sólido). Deixe vazio para o padrão 0,4. Com gradiente esta é a opacidade no topo, esbatendo até um oitavo na base; sem gradiente o preenchimento liso usa metade.", "Overlay": "Sobreposição", "Overlays are hidden in sparkline mode": "As sobreposições ficam ocultas no modo sparkline", + "Layout": "Disposição", + "Sequential": "Sequencial", "Padding": "Espaçamento interno", "Percentage": "Porcentagem", "Percentages": "Porcentagens", @@ -10103,6 +10139,7 @@ export const I18N = Object.freeze({ "End": "Конец", "End value": "Конечное значение", "Energy Date Sync": "Синхронизация с датами Энергии", + "Key": "Ключ", "Entities": "Объекты", "Entity": "Объект", "Falling": "Падение", @@ -10196,6 +10233,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Насколько плотная заливка под линией: от 0 (невидимая) до 1 (сплошная). Оставьте пустым для значения по умолчанию 0,4. С градиентом это непрозрачность вверху, затухающая до одной восьмой внизу; без градиента сплошная заливка использует половину.", "Overlay": "Оверлей", "Overlays are hidden in sparkline mode": "Оверлеи скрыты в режиме спарклайна", + "Layout": "Компоновка", + "Sequential": "Последовательно", "Padding": "Внутренний отступ", "Percentage": "Процент", "Percentages": "Проценты", @@ -10907,6 +10946,7 @@ export const I18N = Object.freeze({ "End": "Slut", "End value": "Slutvärde", "Energy Date Sync": "Synkronisering med Energi-datum", + "Key": "Nyckel", "Entities": "Entiteter", "Entity": "Entitet", "Falling": "Fallande", @@ -11000,6 +11040,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "Hur kraftig fyllningen under linjen är, från 0 (osynlig) till 1 (heltäckande). Lämna tomt för standardvärdet 0,4. Med gradient är detta opaciteten upptill, som tonar ned till en åttondel nertill; utan gradient använder den platta fyllningen hälften.", "Overlay": "Överlägg", "Overlays are hidden in sparkline mode": "Överlägg är dolda i sparkline-läge", + "Layout": "Layout", + "Sequential": "Sekventiell", "Padding": "Inre marginal", "Percentage": "Procent", "Percentages": "Procentandelar", @@ -11711,6 +11753,7 @@ export const I18N = Object.freeze({ "End": "结束", "End value": "结束值", "Energy Date Sync": "能源日期同步", + "Key": "键", "Entities": "实体", "Entity": "实体", "Falling": "下降", @@ -11804,6 +11847,8 @@ export const I18N = Object.freeze({ "How strong the fill under the line is, from 0 (invisible) to 1 (solid). Leave empty for the default 0.4. With Gradient on this is the opacity at the top, fading down to an eighth of it at the bottom; with Gradient off the flat fill uses half of it.": "折线下方填充的强度，从 0（不可见）到 1（完全不透明）。留空则使用默认值 0.4。启用渐变时，这是顶部的不透明度，向下渐隐至其八分之一；关闭渐变时，纯色填充使用其一半。", "Overlay": "叠加层", "Overlays are hidden in sparkline mode": "迷你图模式下叠加层已隐藏", + "Layout": "布局", + "Sequential": "顺序", "Padding": "内边距", "Percentage": "百分比", "Percentages": "百分比", diff --git a/www/community/Statistics-Graph-Chart-Card/translations.js.gz b/www/community/Statistics-Graph-Chart-Card/translations.js.gz index ad35ae0b..2b39788f 100644 Binary files a/www/community/Statistics-Graph-Chart-Card/translations.js.gz and b/www/community/Statistics-Graph-Chart-Card/translations.js.gz differ diff --git a/zigbee2mqtt/state.json b/zigbee2mqtt/state.json index 66f152bb..b0fb3adf 100644 --- a/zigbee2mqtt/state.json +++ b/zigbee2mqtt/state.json @@ -4,10 +4,10 @@ "state": "ON", "led_brightness": 100, "countdown_to_turn_off": 0, - "voltage": 120.9, + "voltage": 121.3, "countdown_to_turn_on": 0, "ac_frequency": 60, - "power_factor": 0.11, + "power_factor": 0.14, "update": { "state": "idle", "installed_version": 268513381, @@ -22,15 +22,15 @@ }, "0xffffb40e0607af27": { "state": "ON", - "voltage": 120.5, + "voltage": 121.6, "ac_frequency": 60, "led_brightness": 100, "countdown_to_turn_off": 0, "countdown_to_turn_on": 0, - "power": 2, + "power": 2.4, "current": 0.12, - "energy": 28.31, - "power_factor": 0.15, + "energy": 28.32, + "power_factor": 0.17, "update": { "state": "idle", "installed_version": 268513381, @@ -45,10 +45,10 @@ "state": "ON", "led_brightness": 100, "countdown_to_turn_off": 0, - "voltage": 119.8, + "voltage": 121.1, "countdown_to_turn_on": 0, - "energy": 54.49, - "power_factor": 0.99, + "energy": 54.57, + "power_factor": 0.2, "ac_frequency": 60, "update": { "state": "idle", @@ -58,8 +58,8 @@ "latest_release_notes": null }, "linkquality": 134, - "power": 200.4, - "current": 1.66, + "power": 0.2, + "current": 0.01, "power_on_behavior": "on" }, "0xb40e060fffe031e3": { @@ -74,12 +74,12 @@ "led_brightness": 100, "countdown_to_turn_off": 0, "countdown_to_turn_on": 0, - "voltage": 118.8, + "voltage": 119.7, "state": "ON", "ac_frequency": 60, - "energy": 112.09, - "power": 99.9, - "current": 0.88, + "energy": 112.17, + "power": 94.6, + "current": 0.84, "power_factor": 0.94, "update": { "state": "idle", @@ -95,13 +95,13 @@ "led_brightness": 100, "countdown_to_turn_off": 0, "countdown_to_turn_on": 0, - "voltage": 120.5, - "energy": 49.37, + "voltage": 121.5, + "energy": 49.43, "state": "ON", - "power": 42.7, - "current": 0.47, + "power": 39.2, + "current": 0.5, "ac_frequency": 60, - "power_factor": 0.75, + "power_factor": 0.68, "update": { "state": "idle", "installed_version": 268513381, @@ -114,12 +114,12 @@ }, "0xffffb40e060895b3": { "state": "ON", - "voltage": 120.7, + "voltage": 121.2, "ac_frequency": 60, "energy": 7.14, "current": 0.01, "power": 0.1, - "power_factor": 0.13, + "power_factor": 0.11, "linkquality": 123, "update": { "state": "idle", @@ -136,14 +136,14 @@ "0xffffb40e0608864e": { "led_brightness": 100, "countdown_to_turn_off": 0, - "voltage": 120.5, + "voltage": 121.5, "energy": 17.5, "countdown_to_turn_on": 0, "state": "ON", "current": 0.02, "ac_frequency": 60, "power": 0.3, - "power_factor": 0.14, + "power_factor": 0.2, "update": { "state": "idle", "installed_version": 268513381, @@ -172,13 +172,13 @@ "0xffffb40e060893d8": { "state": "ON", "led_brightness": 100, - "voltage": 120.8, + "voltage": 121.9, "countdown_to_turn_off": 0, "countdown_to_turn_on": 0, "energy": 3.1, "power_on_behavior": "on", "linkquality": 87, - "current": 0.03, + "current": 0.01, "ac_frequency": 60, "update": { "state": "idle", @@ -187,8 +187,8 @@ "latest_source": "https://raw.githubusercontent.com/Koenkk/zigbee-OTA/master/images/ThirdReality/SmartPlug_Zigbee_PROD_OTA_V101_1.01.01.ota", "latest_release_notes": null }, - "power_factor": 0.13, - "power": 0.1 + "power_factor": 0, + "power": 0.2 }, "0xa4c1380d0679ffff": { "battery": 100,