2019-04-03 15:40:03 +00:00
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"""Support for AirVisual air quality sensors."""
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2019-10-17 13:04:41 +00:00
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from logging import getLogger
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2017-09-08 14:05:51 +00:00
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2017-09-24 19:25:18 +00:00
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from homeassistant.const import (
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2019-07-31 19:25:30 +00:00
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ATTR_LATITUDE,
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ATTR_LONGITUDE,
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2020-02-29 03:14:17 +00:00
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ATTR_STATE,
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2020-02-25 01:52:14 +00:00
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CONCENTRATION_MICROGRAMS_PER_CUBIC_METER,
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CONCENTRATION_PARTS_PER_BILLION,
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CONCENTRATION_PARTS_PER_MILLION,
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2019-07-31 19:25:30 +00:00
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CONF_LATITUDE,
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CONF_LONGITUDE,
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2020-03-10 20:16:25 +00:00
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CONF_SHOW_ON_MAP,
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2019-10-17 13:04:41 +00:00
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CONF_STATE,
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2020-04-22 23:41:14 +00:00
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DEVICE_CLASS_BATTERY,
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DEVICE_CLASS_HUMIDITY,
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DEVICE_CLASS_TEMPERATURE,
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TEMP_CELSIUS,
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UNIT_PERCENTAGE,
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2019-07-31 19:25:30 +00:00
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)
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2020-02-29 03:14:17 +00:00
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from homeassistant.core import callback
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2020-04-22 23:41:14 +00:00
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from . import AirVisualEntity
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from .const import (
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CONF_CITY,
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CONF_COUNTRY,
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DATA_CLIENT,
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DOMAIN,
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INTEGRATION_TYPE_GEOGRAPHY,
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)
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2017-09-08 14:05:51 +00:00
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2017-10-07 13:11:41 +00:00
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_LOGGER = getLogger(__name__)
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2019-07-31 19:25:30 +00:00
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ATTR_CITY = "city"
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ATTR_COUNTRY = "country"
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ATTR_POLLUTANT_SYMBOL = "pollutant_symbol"
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ATTR_POLLUTANT_UNIT = "pollutant_unit"
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ATTR_REGION = "region"
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2017-09-08 14:05:51 +00:00
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2020-02-29 03:14:17 +00:00
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MASS_PARTS_PER_MILLION = "ppm"
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MASS_PARTS_PER_BILLION = "ppb"
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VOLUME_MICROGRAMS_PER_CUBIC_METER = "µg/m3"
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SENSOR_KIND_LEVEL = "air_pollution_level"
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SENSOR_KIND_AQI = "air_quality_index"
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SENSOR_KIND_POLLUTANT = "main_pollutant"
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2020-04-22 23:41:14 +00:00
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SENSOR_KIND_BATTERY_LEVEL = "battery_level"
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SENSOR_KIND_HUMIDITY = "humidity"
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SENSOR_KIND_TEMPERATURE = "temperature"
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GEOGRAPHY_SENSORS = [
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2020-02-29 03:14:17 +00:00
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(SENSOR_KIND_LEVEL, "Air Pollution Level", "mdi:gauge", None),
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(SENSOR_KIND_AQI, "Air Quality Index", "mdi:chart-line", "AQI"),
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(SENSOR_KIND_POLLUTANT, "Main Pollutant", "mdi:chemical-weapon", None),
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2018-02-15 22:52:47 +00:00
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]
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2020-04-22 23:41:14 +00:00
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GEOGRAPHY_SENSOR_LOCALES = {"cn": "Chinese", "us": "U.S."}
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NODE_PRO_SENSORS = [
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(SENSOR_KIND_BATTERY_LEVEL, "Battery", DEVICE_CLASS_BATTERY, UNIT_PERCENTAGE),
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(SENSOR_KIND_HUMIDITY, "Humidity", DEVICE_CLASS_HUMIDITY, UNIT_PERCENTAGE),
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(SENSOR_KIND_TEMPERATURE, "Temperature", DEVICE_CLASS_TEMPERATURE, TEMP_CELSIUS),
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]
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2018-02-15 22:52:47 +00:00
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2019-07-31 19:25:30 +00:00
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POLLUTANT_LEVEL_MAPPING = [
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{"label": "Good", "icon": "mdi:emoticon-excited", "minimum": 0, "maximum": 50},
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{"label": "Moderate", "icon": "mdi:emoticon-happy", "minimum": 51, "maximum": 100},
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{
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"label": "Unhealthy for sensitive groups",
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"icon": "mdi:emoticon-neutral",
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"minimum": 101,
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"maximum": 150,
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2018-06-14 13:30:47 +00:00
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},
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{"label": "Unhealthy", "icon": "mdi:emoticon-sad", "minimum": 151, "maximum": 200},
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{
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"label": "Very Unhealthy",
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"icon": "mdi:emoticon-dead",
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"minimum": 201,
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"maximum": 300,
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2018-06-14 13:30:47 +00:00
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},
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2019-07-31 19:25:30 +00:00
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{"label": "Hazardous", "icon": "mdi:biohazard", "minimum": 301, "maximum": 10000},
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]
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POLLUTANT_MAPPING = {
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2020-02-25 01:52:14 +00:00
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"co": {"label": "Carbon Monoxide", "unit": CONCENTRATION_PARTS_PER_MILLION},
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"n2": {"label": "Nitrogen Dioxide", "unit": CONCENTRATION_PARTS_PER_BILLION},
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"o3": {"label": "Ozone", "unit": CONCENTRATION_PARTS_PER_BILLION},
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"p1": {"label": "PM10", "unit": CONCENTRATION_MICROGRAMS_PER_CUBIC_METER},
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"p2": {"label": "PM2.5", "unit": CONCENTRATION_MICROGRAMS_PER_CUBIC_METER},
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"s2": {"label": "Sulfur Dioxide", "unit": CONCENTRATION_PARTS_PER_BILLION},
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2017-09-08 14:05:51 +00:00
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}
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2019-07-31 19:25:30 +00:00
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2020-04-22 23:41:14 +00:00
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async def async_setup_entry(hass, config_entry, async_add_entities):
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2020-02-29 03:14:17 +00:00
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"""Set up AirVisual sensors based on a config entry."""
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2020-04-22 23:41:14 +00:00
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airvisual = hass.data[DOMAIN][DATA_CLIENT][config_entry.entry_id]
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2018-02-15 22:52:47 +00:00
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2020-04-22 23:41:14 +00:00
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if airvisual.integration_type == INTEGRATION_TYPE_GEOGRAPHY:
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sensors = [
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AirVisualGeographySensor(
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airvisual, kind, name, icon, unit, locale, geography_id,
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)
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2020-02-29 03:14:17 +00:00
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for geography_id in airvisual.data
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2020-04-22 23:41:14 +00:00
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for locale in GEOGRAPHY_SENSOR_LOCALES
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for kind, name, icon, unit in GEOGRAPHY_SENSORS
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]
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else:
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sensors = [
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AirVisualNodeProSensor(airvisual, kind, name, device_class, unit)
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for kind, name, device_class, unit in NODE_PRO_SENSORS
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]
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2018-06-14 13:30:47 +00:00
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2020-04-22 23:41:14 +00:00
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async_add_entities(sensors, True)
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2018-06-14 13:30:47 +00:00
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2020-04-22 23:41:14 +00:00
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class AirVisualSensor(AirVisualEntity):
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"""Define a generic AirVisual sensor."""
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def __init__(self, airvisual, kind, name, unit):
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2018-06-14 13:30:47 +00:00
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"""Initialize."""
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2020-04-22 23:41:14 +00:00
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super().__init__(airvisual)
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2020-02-29 03:14:17 +00:00
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self._kind = kind
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2017-09-08 14:05:51 +00:00
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self._name = name
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self._state = None
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2018-06-14 13:30:47 +00:00
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self._unit = unit
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2017-10-07 11:38:52 +00:00
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2020-04-22 23:41:14 +00:00
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@property
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def state(self):
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"""Return the state."""
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return self._state
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class AirVisualGeographySensor(AirVisualSensor):
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"""Define an AirVisual sensor related to geography data via the Cloud API."""
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def __init__(self, airvisual, kind, name, icon, unit, locale, geography_id):
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"""Initialize."""
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super().__init__(airvisual, kind, name, unit)
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self._attrs.update(
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{
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ATTR_CITY: airvisual.data[geography_id].get(CONF_CITY),
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ATTR_STATE: airvisual.data[geography_id].get(CONF_STATE),
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ATTR_COUNTRY: airvisual.data[geography_id].get(CONF_COUNTRY),
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}
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)
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self._geography_id = geography_id
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self._icon = icon
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self._locale = locale
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2020-02-29 03:14:17 +00:00
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2018-06-14 13:30:47 +00:00
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@property
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def available(self):
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"""Return True if entity is available."""
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2020-02-29 03:14:17 +00:00
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try:
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return bool(
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self._airvisual.data[self._geography_id]["current"]["pollution"]
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)
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except KeyError:
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return False
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2017-09-08 14:05:51 +00:00
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@property
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def name(self):
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"""Return the name."""
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2020-04-22 23:41:14 +00:00
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return f"{GEOGRAPHY_SENSOR_LOCALES[self._locale]} {self._name}"
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2017-09-08 14:05:51 +00:00
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2018-02-15 22:52:47 +00:00
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@property
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def unique_id(self):
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2020-01-05 12:09:17 +00:00
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"""Return a unique, Home Assistant friendly identifier for this entity."""
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2020-02-29 03:14:17 +00:00
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return f"{self._geography_id}_{self._locale}_{self._kind}"
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2018-02-15 22:52:47 +00:00
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2020-04-22 23:41:14 +00:00
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@callback
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def update_from_latest_data(self):
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2018-06-14 13:30:47 +00:00
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"""Update the sensor."""
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2020-02-29 03:14:17 +00:00
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try:
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data = self._airvisual.data[self._geography_id]["current"]["pollution"]
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except KeyError:
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2018-06-14 13:30:47 +00:00
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return
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2017-09-08 14:05:51 +00:00
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2020-02-29 03:14:17 +00:00
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if self._kind == SENSOR_KIND_LEVEL:
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2019-09-03 14:11:36 +00:00
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aqi = data[f"aqi{self._locale}"]
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2018-06-14 13:30:47 +00:00
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[level] = [
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2019-07-31 19:25:30 +00:00
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i
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for i in POLLUTANT_LEVEL_MAPPING
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if i["minimum"] <= aqi <= i["maximum"]
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2018-06-14 13:30:47 +00:00
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]
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2019-07-31 19:25:30 +00:00
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self._state = level["label"]
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self._icon = level["icon"]
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2020-02-29 03:14:17 +00:00
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elif self._kind == SENSOR_KIND_AQI:
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2019-09-03 14:11:36 +00:00
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self._state = data[f"aqi{self._locale}"]
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2020-02-29 03:14:17 +00:00
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elif self._kind == SENSOR_KIND_POLLUTANT:
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2019-09-03 14:11:36 +00:00
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symbol = data[f"main{self._locale}"]
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2019-07-31 19:25:30 +00:00
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self._state = POLLUTANT_MAPPING[symbol]["label"]
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self._attrs.update(
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{
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ATTR_POLLUTANT_SYMBOL: symbol,
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ATTR_POLLUTANT_UNIT: POLLUTANT_MAPPING[symbol]["unit"],
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}
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)
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2018-02-15 22:52:47 +00:00
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2020-03-24 18:39:38 +00:00
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if CONF_LATITUDE in self._airvisual.geography_data:
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2020-03-10 20:16:25 +00:00
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if self._airvisual.options[CONF_SHOW_ON_MAP]:
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2020-03-24 18:39:38 +00:00
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self._attrs[ATTR_LATITUDE] = self._airvisual.geography_data[
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CONF_LATITUDE
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]
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self._attrs[ATTR_LONGITUDE] = self._airvisual.geography_data[
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CONF_LONGITUDE
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]
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2020-03-10 20:16:25 +00:00
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self._attrs.pop("lati", None)
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self._attrs.pop("long", None)
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else:
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2020-03-24 18:39:38 +00:00
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self._attrs["lati"] = self._airvisual.geography_data[CONF_LATITUDE]
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self._attrs["long"] = self._airvisual.geography_data[CONF_LONGITUDE]
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2020-03-10 20:16:25 +00:00
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self._attrs.pop(ATTR_LATITUDE, None)
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self._attrs.pop(ATTR_LONGITUDE, None)
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2020-04-22 23:41:14 +00:00
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class AirVisualNodeProSensor(AirVisualSensor):
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"""Define an AirVisual sensor related to a Node/Pro unit."""
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def __init__(self, airvisual, kind, name, device_class, unit):
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"""Initialize."""
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super().__init__(airvisual, kind, name, unit)
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self._device_class = device_class
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@property
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def available(self):
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"""Return True if entity is available."""
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return bool(self._airvisual.data)
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@property
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def device_class(self):
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"""Return the device class."""
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return self._device_class
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@property
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def device_info(self):
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"""Return device registry information for this entity."""
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return {
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"identifiers": {(DOMAIN, self._airvisual.data["current"]["serial_number"])},
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"name": self._airvisual.data["current"]["settings"]["node_name"],
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"manufacturer": "AirVisual",
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"model": f'{self._airvisual.data["current"]["status"]["model"]}',
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"sw_version": (
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f'Version {self._airvisual.data["current"]["status"]["system_version"]}'
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f'{self._airvisual.data["current"]["status"]["app_version"]}'
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),
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}
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@property
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def name(self):
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"""Return the name."""
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node_name = self._airvisual.data["current"]["settings"]["node_name"]
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return f"{node_name} Node/Pro: {self._name}"
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@property
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def unique_id(self):
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"""Return a unique, Home Assistant friendly identifier for this entity."""
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return f"{self._airvisual.data['current']['serial_number']}_{self._kind}"
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@callback
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def update_from_latest_data(self):
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"""Update from the Node/Pro's data."""
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if self._kind == SENSOR_KIND_BATTERY_LEVEL:
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self._state = self._airvisual.data["current"]["status"]["battery"]
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elif self._kind == SENSOR_KIND_HUMIDITY:
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self._state = self._airvisual.data["current"]["measurements"].get(
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"humidity"
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)
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elif self._kind == SENSOR_KIND_TEMPERATURE:
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self._state = self._airvisual.data["current"]["measurements"].get(
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"temperature_C"
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)
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