"""Sensor platform for HA Text AI.""" import logging from typing import Any, Dict from homeassistant.components.sensor import ( SensorEntity, SensorEntityDescription, ) from homeassistant.config_entries import ConfigEntry from homeassistant.core import HomeAssistant from homeassistant.helpers.device_registry import DeviceInfo from homeassistant.helpers.entity_platform import AddEntitiesCallback from homeassistant.helpers.typing import StateType from homeassistant.helpers.update_coordinator import CoordinatorEntity from homeassistant.util import dt as dt_util from homeassistant.util import slugify from .const import ( DOMAIN, CONF_MODEL, CONF_API_PROVIDER, ATTR_TOTAL_RESPONSES, ATTR_TOTAL_ERRORS, ATTR_AVG_RESPONSE_TIME, ATTR_LAST_REQUEST_TIME, ATTR_LAST_ERROR, ATTR_IS_PROCESSING, ATTR_IS_RATE_LIMITED, ATTR_IS_MAINTENANCE, ATTR_API_VERSION, ATTR_ENDPOINT_STATUS, ATTR_PERFORMANCE_METRICS, ATTR_HISTORY_SIZE, ATTR_UPTIME, ATTR_API_PROVIDER, ATTR_MODEL, ATTR_SYSTEM_PROMPT, ATTR_API_STATUS, ATTR_RESPONSE, ATTR_QUESTION, METRIC_TOTAL_TOKENS, METRIC_PROMPT_TOKENS, METRIC_COMPLETION_TOKENS, METRIC_SUCCESSFUL_REQUESTS, METRIC_FAILED_REQUESTS, METRIC_AVERAGE_LATENCY, METRIC_MAX_LATENCY, METRIC_MIN_LATENCY, STATE_READY, STATE_PROCESSING, STATE_ERROR, STATE_INITIALIZING, STATE_MAINTENANCE, STATE_RATE_LIMITED, STATE_DISCONNECTED, ENTITY_ICON, ENTITY_ICON_ERROR, ENTITY_ICON_PROCESSING, ) from .coordinator import HATextAICoordinator _LOGGER = logging.getLogger(__name__) async def async_setup_entry( hass: HomeAssistant, entry: ConfigEntry, async_add_entities: AddEntitiesCallback, ) -> None: """Set up the HA Text AI sensor.""" coordinator = hass.data[DOMAIN][entry.entry_id] instance_name = coordinator.instance_name _LOGGER.info(f"Setting up HA Text AI sensor with instance: {instance_name}") sensor = HATextAISensor(coordinator, entry) sensor.platform = "sensor" sensor.platform_domain = DOMAIN async_add_entities([sensor], True) class HATextAISensor(CoordinatorEntity, SensorEntity): """HA Text AI Sensor.""" coordinator: HATextAICoordinator def __init__( self, coordinator: HATextAICoordinator, config_entry: ConfigEntry, ) -> None: """Initialize the sensor.""" super().__init__(coordinator) self._config_entry = config_entry self._instance_name = coordinator.instance_name # Добавляем явное указание платформы и домена self._attr_has_entity_name = True self.entity_id = f"sensor.ha_text_ai_{self._instance_name}" self._attr_name = f"HA Text AI {self._instance_name}" self._attr_unique_id = f"{config_entry.entry_id}" # Явно указываем принадлежность к интеграции self.entity_description = SensorEntityDescription( key=f"ha_text_ai_{self._instance_name}", name=self._attr_name, entity_registry_enabled_default=True, ) # Добавляем информацию об интеграции self._attr_platform = "sensor" self._attr_domain = DOMAIN self._current_state = STATE_INITIALIZING self._error_count = 0 self._last_error = None self._last_update = None # Device info model = config_entry.data.get(CONF_MODEL, "Unknown") api_provider = config_entry.data.get(CONF_API_PROVIDER, "Unknown") self._attr_device_info = DeviceInfo( identifiers={(DOMAIN, self._attr_unique_id)}, name=self._attr_name, manufacturer="Community", model=f"{model} ({api_provider} provider)", sw_version="1.0.0", ) _LOGGER.info(f"Initialized sensor: {self.entity_id} for instance: {self._instance_name}") @property def native_value(self) -> StateType: """Return the native value of the sensor.""" if not self.coordinator.data: return STATE_DISCONNECTED status = self.coordinator.data.get("state", STATE_READY) self._current_state = status return status @property def icon(self) -> str: """Return the icon based on the current state.""" if self._current_state == STATE_ERROR: return ENTITY_ICON_ERROR elif self._current_state == STATE_PROCESSING: return ENTITY_ICON_PROCESSING return ENTITY_ICON @property def extra_state_attributes(self) -> Dict[str, Any]: """Return entity specific state attributes.""" attributes = { ATTR_MODEL: self._config_entry.data.get(CONF_MODEL, "Unknown"), ATTR_API_PROVIDER: self._config_entry.data.get(CONF_API_PROVIDER, "Unknown"), ATTR_API_STATUS: self._current_state, ATTR_TOTAL_ERRORS: self._error_count, ATTR_LAST_ERROR: self._last_error, "instance_name": self._instance_name, } if not self.coordinator.data: return attributes data = self.coordinator.data # Основные атрибуты for attr in [ ATTR_TOTAL_RESPONSES, ATTR_AVG_RESPONSE_TIME, ATTR_LAST_REQUEST_TIME, ATTR_IS_PROCESSING, ATTR_IS_RATE_LIMITED, ATTR_IS_MAINTENANCE, ATTR_API_VERSION, ATTR_ENDPOINT_STATUS, ATTR_PERFORMANCE_METRICS, ATTR_HISTORY_SIZE, ATTR_UPTIME, ATTR_SYSTEM_PROMPT, ]: value = data.get(attr) if value is not None: attributes[attr] = value # Метрики metrics = data.get("metrics", {}) if isinstance(metrics, dict): for metric in [ METRIC_TOTAL_TOKENS, METRIC_PROMPT_TOKENS, METRIC_COMPLETION_TOKENS, METRIC_SUCCESSFUL_REQUESTS, METRIC_FAILED_REQUESTS, METRIC_AVERAGE_LATENCY, METRIC_MAX_LATENCY, METRIC_MIN_LATENCY, ]: value = metrics.get(metric) if value is not None: attributes[metric] = value # Последний ответ last_response = data.get("last_response", {}) if isinstance(last_response, dict): attributes[ATTR_RESPONSE] = last_response.get("response", "") attributes[ATTR_QUESTION] = last_response.get("question", "") return attributes async def async_added_to_hass(self) -> None: """When entity is added to hass.""" await super().async_added_to_hass() self._handle_coordinator_update() def _handle_coordinator_update(self) -> None: """Handle updated data from the coordinator.""" if not self.coordinator.data: self._current_state = STATE_DISCONNECTED self.async_write_ha_state() return try: data = self.coordinator.data # Обновляем состояние if data.get("is_processing"): self._current_state = STATE_PROCESSING elif data.get("is_rate_limited"): self._current_state = STATE_RATE_LIMITED elif data.get("is_maintenance"): self._current_state = STATE_MAINTENANCE elif data.get("error"): self._current_state = STATE_ERROR self._last_error = data["error"] self._error_count += 1 else: self._current_state = STATE_READY # Обновляем метрики metrics = data.get("metrics", {}) if isinstance(metrics, dict): self._error_count = metrics.get("total_errors", self._error_count) self._last_update = data.get("last_update") except Exception as err: _LOGGER.error("Error handling update: %s", err, exc_info=True) self._current_state = STATE_ERROR self._last_error = str(err) self._error_count += 1 self.async_write_ha_state()