199 lines
6.2 KiB
Python
199 lines
6.2 KiB
Python
"""Support for the Airly sensor service."""
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from __future__ import annotations
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from collections.abc import Callable
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from dataclasses import dataclass
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from typing import Any, cast
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from homeassistant.components.sensor import (
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STATE_CLASS_MEASUREMENT,
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SensorEntity,
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SensorEntityDescription,
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)
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from homeassistant.config_entries import ConfigEntry
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from homeassistant.const import (
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ATTR_ATTRIBUTION,
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CONCENTRATION_MICROGRAMS_PER_CUBIC_METER,
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CONF_NAME,
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DEVICE_CLASS_AQI,
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DEVICE_CLASS_HUMIDITY,
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DEVICE_CLASS_PM1,
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DEVICE_CLASS_PM10,
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DEVICE_CLASS_PM25,
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DEVICE_CLASS_PRESSURE,
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DEVICE_CLASS_TEMPERATURE,
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PERCENTAGE,
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PRESSURE_HPA,
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TEMP_CELSIUS,
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)
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from homeassistant.core import HomeAssistant
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from homeassistant.helpers.entity_platform import AddEntitiesCallback
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from homeassistant.helpers.typing import StateType
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from homeassistant.helpers.update_coordinator import CoordinatorEntity
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from . import AirlyDataUpdateCoordinator
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from .const import (
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ATTR_ADVICE,
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ATTR_API_ADVICE,
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ATTR_API_CAQI,
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ATTR_API_CAQI_DESCRIPTION,
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ATTR_API_CAQI_LEVEL,
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ATTR_API_HUMIDITY,
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ATTR_API_PM1,
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ATTR_API_PM10,
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ATTR_API_PM25,
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ATTR_API_PRESSURE,
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ATTR_API_TEMPERATURE,
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ATTR_DESCRIPTION,
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ATTR_LEVEL,
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ATTR_LIMIT,
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ATTR_PERCENT,
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ATTRIBUTION,
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DEFAULT_NAME,
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DOMAIN,
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MANUFACTURER,
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SUFFIX_LIMIT,
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SUFFIX_PERCENT,
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)
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PARALLEL_UPDATES = 1
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@dataclass
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class AirlySensorEntityDescription(SensorEntityDescription):
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"""Class describing Airly sensor entities."""
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value: Callable = round
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SENSOR_TYPES: tuple[AirlySensorEntityDescription, ...] = (
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AirlySensorEntityDescription(
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key=ATTR_API_CAQI,
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device_class=DEVICE_CLASS_AQI,
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name=ATTR_API_CAQI,
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native_unit_of_measurement="CAQI",
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),
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AirlySensorEntityDescription(
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key=ATTR_API_PM1,
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device_class=DEVICE_CLASS_PM1,
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name=ATTR_API_PM1,
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native_unit_of_measurement=CONCENTRATION_MICROGRAMS_PER_CUBIC_METER,
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state_class=STATE_CLASS_MEASUREMENT,
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),
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AirlySensorEntityDescription(
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key=ATTR_API_PM25,
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device_class=DEVICE_CLASS_PM25,
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name="PM2.5",
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native_unit_of_measurement=CONCENTRATION_MICROGRAMS_PER_CUBIC_METER,
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state_class=STATE_CLASS_MEASUREMENT,
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),
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AirlySensorEntityDescription(
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key=ATTR_API_PM10,
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device_class=DEVICE_CLASS_PM10,
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name=ATTR_API_PM10,
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native_unit_of_measurement=CONCENTRATION_MICROGRAMS_PER_CUBIC_METER,
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state_class=STATE_CLASS_MEASUREMENT,
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),
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AirlySensorEntityDescription(
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key=ATTR_API_HUMIDITY,
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device_class=DEVICE_CLASS_HUMIDITY,
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name=ATTR_API_HUMIDITY.capitalize(),
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native_unit_of_measurement=PERCENTAGE,
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state_class=STATE_CLASS_MEASUREMENT,
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value=lambda value: round(value, 1),
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),
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AirlySensorEntityDescription(
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key=ATTR_API_PRESSURE,
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device_class=DEVICE_CLASS_PRESSURE,
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name=ATTR_API_PRESSURE.capitalize(),
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native_unit_of_measurement=PRESSURE_HPA,
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state_class=STATE_CLASS_MEASUREMENT,
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),
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AirlySensorEntityDescription(
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key=ATTR_API_TEMPERATURE,
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device_class=DEVICE_CLASS_TEMPERATURE,
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name=ATTR_API_TEMPERATURE.capitalize(),
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native_unit_of_measurement=TEMP_CELSIUS,
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state_class=STATE_CLASS_MEASUREMENT,
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value=lambda value: round(value, 1),
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),
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)
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async def async_setup_entry(
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hass: HomeAssistant, entry: ConfigEntry, async_add_entities: AddEntitiesCallback
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) -> None:
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"""Set up Airly sensor entities based on a config entry."""
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name = entry.data[CONF_NAME]
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coordinator = hass.data[DOMAIN][entry.entry_id]
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sensors = []
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for description in SENSOR_TYPES:
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# When we use the nearest method, we are not sure which sensors are available
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if coordinator.data.get(description.key):
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sensors.append(AirlySensor(coordinator, name, description))
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async_add_entities(sensors, False)
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class AirlySensor(CoordinatorEntity, SensorEntity):
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"""Define an Airly sensor."""
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coordinator: AirlyDataUpdateCoordinator
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entity_description: AirlySensorEntityDescription
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def __init__(
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self,
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coordinator: AirlyDataUpdateCoordinator,
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name: str,
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description: AirlySensorEntityDescription,
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) -> None:
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"""Initialize."""
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super().__init__(coordinator)
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self._attr_device_info = {
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"identifiers": {
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(DOMAIN, f"{coordinator.latitude}-{coordinator.longitude}")
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},
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"name": DEFAULT_NAME,
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"manufacturer": MANUFACTURER,
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"entry_type": "service",
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}
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self._attr_name = f"{name} {description.name}"
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self._attr_unique_id = (
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f"{coordinator.latitude}-{coordinator.longitude}-{description.key}".lower()
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)
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self._attrs: dict[str, Any] = {ATTR_ATTRIBUTION: ATTRIBUTION}
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self.entity_description = description
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@property
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def native_value(self) -> StateType:
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"""Return the state."""
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state = self.coordinator.data[self.entity_description.key]
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return cast(StateType, self.entity_description.value(state))
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@property
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def extra_state_attributes(self) -> dict[str, Any]:
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"""Return the state attributes."""
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if self.entity_description.key == ATTR_API_CAQI:
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self._attrs[ATTR_LEVEL] = self.coordinator.data[ATTR_API_CAQI_LEVEL]
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self._attrs[ATTR_ADVICE] = self.coordinator.data[ATTR_API_ADVICE]
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self._attrs[ATTR_DESCRIPTION] = self.coordinator.data[
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ATTR_API_CAQI_DESCRIPTION
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]
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if self.entity_description.key == ATTR_API_PM25:
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self._attrs[ATTR_LIMIT] = self.coordinator.data[
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f"{ATTR_API_PM25}_{SUFFIX_LIMIT}"
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]
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self._attrs[ATTR_PERCENT] = round(
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self.coordinator.data[f"{ATTR_API_PM25}_{SUFFIX_PERCENT}"]
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)
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if self.entity_description.key == ATTR_API_PM10:
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self._attrs[ATTR_LIMIT] = self.coordinator.data[
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f"{ATTR_API_PM10}_{SUFFIX_LIMIT}"
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]
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self._attrs[ATTR_PERCENT] = round(
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self.coordinator.data[f"{ATTR_API_PM10}_{SUFFIX_PERCENT}"]
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)
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return self._attrs
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