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@@ -6,118 +6,96 @@ import voluptuous as vol
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from homeassistant.components.sensor import PLATFORM_SCHEMA
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from homeassistant.const import (
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ATTR_ATTRIBUTION, ATTR_LATITUDE, ATTR_LONGITUDE, CONF_API_KEY,
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CONF_LATITUDE, CONF_LONGITUDE, CONF_MONITORED_CONDITIONS,
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CONF_SCAN_INTERVAL, CONF_STATE, CONF_SHOW_ON_MAP)
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ATTR_ATTRIBUTION,
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ATTR_LATITUDE,
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ATTR_LONGITUDE,
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CONF_API_KEY,
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CONF_LATITUDE,
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CONF_LONGITUDE,
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CONF_MONITORED_CONDITIONS,
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CONF_SCAN_INTERVAL,
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CONF_STATE,
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CONF_SHOW_ON_MAP,
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)
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from homeassistant.helpers import aiohttp_client, config_validation as cv
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from homeassistant.helpers.entity import Entity
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from homeassistant.util import Throttle
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_LOGGER = getLogger(__name__)
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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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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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CONF_CITY = 'city'
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CONF_COUNTRY = 'country'
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CONF_CITY = "city"
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CONF_COUNTRY = "country"
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DEFAULT_ATTRIBUTION = "Data provided by AirVisual"
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DEFAULT_SCAN_INTERVAL = timedelta(minutes=10)
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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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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_TYPE_LEVEL = 'air_pollution_level'
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SENSOR_TYPE_AQI = 'air_quality_index'
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SENSOR_TYPE_POLLUTANT = 'main_pollutant'
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SENSOR_TYPE_LEVEL = "air_pollution_level"
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SENSOR_TYPE_AQI = "air_quality_index"
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SENSOR_TYPE_POLLUTANT = "main_pollutant"
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SENSORS = [
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(SENSOR_TYPE_LEVEL, 'Air Pollution Level', 'mdi:gauge', None),
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(SENSOR_TYPE_AQI, 'Air Quality Index', 'mdi:chart-line', 'AQI'),
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(SENSOR_TYPE_POLLUTANT, 'Main Pollutant', 'mdi:chemical-weapon', None),
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(SENSOR_TYPE_LEVEL, "Air Pollution Level", "mdi:gauge", None),
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(SENSOR_TYPE_AQI, "Air Quality Index", "mdi:chart-line", "AQI"),
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(SENSOR_TYPE_POLLUTANT, "Main Pollutant", "mdi:chemical-weapon", None),
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]
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POLLUTANT_LEVEL_MAPPING = [{
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'label': 'Good',
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'icon': 'mdi:emoticon-excited',
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'minimum': 0,
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'maximum': 50
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}, {
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'label': 'Moderate',
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'icon': 'mdi:emoticon-happy',
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'minimum': 51,
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'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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}, {
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'label': 'Unhealthy',
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'icon': 'mdi:emoticon-sad',
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'minimum': 151,
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'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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}, {
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'label': 'Hazardous',
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'icon': 'mdi:biohazard',
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'minimum': 301,
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'maximum': 10000
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}]
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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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},
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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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},
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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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'co': {
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'label': 'Carbon Monoxide',
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'unit': MASS_PARTS_PER_MILLION
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},
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'n2': {
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'label': 'Nitrogen Dioxide',
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'unit': MASS_PARTS_PER_BILLION
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},
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'o3': {
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'label': 'Ozone',
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'unit': MASS_PARTS_PER_BILLION
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},
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'p1': {
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'label': 'PM10',
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'unit': VOLUME_MICROGRAMS_PER_CUBIC_METER
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},
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'p2': {
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'label': 'PM2.5',
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'unit': VOLUME_MICROGRAMS_PER_CUBIC_METER
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},
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's2': {
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'label': 'Sulfur Dioxide',
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'unit': MASS_PARTS_PER_BILLION
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},
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"co": {"label": "Carbon Monoxide", "unit": MASS_PARTS_PER_MILLION},
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"n2": {"label": "Nitrogen Dioxide", "unit": MASS_PARTS_PER_BILLION},
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"o3": {"label": "Ozone", "unit": MASS_PARTS_PER_BILLION},
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"p1": {"label": "PM10", "unit": VOLUME_MICROGRAMS_PER_CUBIC_METER},
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"p2": {"label": "PM2.5", "unit": VOLUME_MICROGRAMS_PER_CUBIC_METER},
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"s2": {"label": "Sulfur Dioxide", "unit": MASS_PARTS_PER_BILLION},
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}
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SENSOR_LOCALES = {'cn': 'Chinese', 'us': 'U.S.'}
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SENSOR_LOCALES = {"cn": "Chinese", "us": "U.S."}
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PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({
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vol.Required(CONF_API_KEY): cv.string,
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vol.Required(CONF_MONITORED_CONDITIONS, default=list(SENSOR_LOCALES)):
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vol.All(cv.ensure_list, [vol.In(SENSOR_LOCALES)]),
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vol.Inclusive(CONF_CITY, 'city'): cv.string,
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vol.Inclusive(CONF_COUNTRY, 'city'): cv.string,
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vol.Inclusive(CONF_LATITUDE, 'coords'): cv.latitude,
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vol.Inclusive(CONF_LONGITUDE, 'coords'): cv.longitude,
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vol.Optional(CONF_SHOW_ON_MAP, default=True): cv.boolean,
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vol.Inclusive(CONF_STATE, 'city'): cv.string,
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vol.Optional(CONF_SCAN_INTERVAL, default=DEFAULT_SCAN_INTERVAL):
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cv.time_period
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})
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PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend(
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{
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vol.Required(CONF_API_KEY): cv.string,
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vol.Required(CONF_MONITORED_CONDITIONS, default=list(SENSOR_LOCALES)): vol.All(
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cv.ensure_list, [vol.In(SENSOR_LOCALES)]
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),
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vol.Inclusive(CONF_CITY, "city"): cv.string,
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vol.Inclusive(CONF_COUNTRY, "city"): cv.string,
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vol.Inclusive(CONF_LATITUDE, "coords"): cv.latitude,
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vol.Inclusive(CONF_LONGITUDE, "coords"): cv.longitude,
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vol.Optional(CONF_SHOW_ON_MAP, default=True): cv.boolean,
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vol.Inclusive(CONF_STATE, "city"): cv.string,
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vol.Optional(CONF_SCAN_INTERVAL, default=DEFAULT_SCAN_INTERVAL): cv.time_period,
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}
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)
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async def async_setup_platform(
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hass, config, async_add_entities, discovery_info=None):
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async def async_setup_platform(hass, config, async_add_entities, discovery_info=None):
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"""Configure the platform and add the sensors."""
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from pyairvisual import Client
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@@ -132,25 +110,27 @@ async def async_setup_platform(
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if city and state and country:
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_LOGGER.debug(
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"Using city, state, and country: %s, %s, %s", city, state, country)
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location_id = ','.join((city, state, country))
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"Using city, state, and country: %s, %s, %s", city, state, country
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)
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location_id = ",".join((city, state, country))
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data = AirVisualData(
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Client(websession, api_key=config[CONF_API_KEY]),
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city=city,
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state=state,
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country=country,
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show_on_map=config[CONF_SHOW_ON_MAP],
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scan_interval=config[CONF_SCAN_INTERVAL])
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scan_interval=config[CONF_SCAN_INTERVAL],
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)
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else:
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_LOGGER.debug(
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"Using latitude and longitude: %s, %s", latitude, longitude)
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location_id = ','.join((str(latitude), str(longitude)))
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_LOGGER.debug("Using latitude and longitude: %s, %s", latitude, longitude)
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location_id = ",".join((str(latitude), str(longitude)))
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data = AirVisualData(
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Client(websession, api_key=config[CONF_API_KEY]),
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latitude=latitude,
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longitude=longitude,
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show_on_map=config[CONF_SHOW_ON_MAP],
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scan_interval=config[CONF_SCAN_INTERVAL])
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scan_interval=config[CONF_SCAN_INTERVAL],
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)
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await data.async_update()
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@@ -158,8 +138,8 @@ async def async_setup_platform(
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for locale in config[CONF_MONITORED_CONDITIONS]:
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for kind, name, icon, unit in SENSORS:
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sensors.append(
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AirVisualSensor(
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data, kind, name, icon, unit, locale, location_id))
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AirVisualSensor(data, kind, name, icon, unit, locale, location_id)
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)
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async_add_entities(sensors, True)
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@@ -186,8 +166,8 @@ class AirVisualSensor(Entity):
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self._attrs[ATTR_LATITUDE] = self.airvisual.latitude
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self._attrs[ATTR_LONGITUDE] = self.airvisual.longitude
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else:
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self._attrs['lati'] = self.airvisual.latitude
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self._attrs['long'] = self.airvisual.longitude
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self._attrs["lati"] = self.airvisual.latitude
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self._attrs["long"] = self.airvisual.longitude
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return self._attrs
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@@ -204,7 +184,7 @@ class AirVisualSensor(Entity):
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@property
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def name(self):
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"""Return the name."""
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return '{0} {1}'.format(SENSOR_LOCALES[self._locale], self._name)
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return "{0} {1}".format(SENSOR_LOCALES[self._locale], self._name)
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@property
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def state(self):
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@@ -214,8 +194,7 @@ class AirVisualSensor(Entity):
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@property
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def unique_id(self):
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"""Return a unique, HASS-friendly identifier for this entity."""
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return '{0}_{1}_{2}'.format(
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self._location_id, self._locale, self._type)
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return "{0}_{1}_{2}".format(self._location_id, self._locale, self._type)
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@property
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def unit_of_measurement(self):
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@@ -231,22 +210,25 @@ class AirVisualSensor(Entity):
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return
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if self._type == SENSOR_TYPE_LEVEL:
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aqi = data['aqi{0}'.format(self._locale)]
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aqi = data["aqi{0}".format(self._locale)]
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[level] = [
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i for i in POLLUTANT_LEVEL_MAPPING
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if i['minimum'] <= aqi <= i['maximum']
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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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]
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self._state = level['label']
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self._icon = level['icon']
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self._state = level["label"]
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self._icon = level["icon"]
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elif self._type == SENSOR_TYPE_AQI:
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self._state = data['aqi{0}'.format(self._locale)]
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self._state = data["aqi{0}".format(self._locale)]
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elif self._type == SENSOR_TYPE_POLLUTANT:
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symbol = data['main{0}'.format(self._locale)]
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self._state = POLLUTANT_MAPPING[symbol]['label']
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self._attrs.update({
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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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symbol = data["main{0}".format(self._locale)]
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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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class AirVisualData:
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@@ -263,8 +245,7 @@ class AirVisualData:
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self.show_on_map = kwargs.get(CONF_SHOW_ON_MAP)
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self.state = kwargs.get(CONF_STATE)
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self.async_update = Throttle(
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kwargs[CONF_SCAN_INTERVAL])(self._async_update)
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self.async_update = Throttle(kwargs[CONF_SCAN_INTERVAL])(self._async_update)
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async def _async_update(self):
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"""Update AirVisual data."""
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@@ -272,23 +253,21 @@ class AirVisualData:
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try:
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if self.city and self.state and self.country:
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resp = await self._client.api.city(
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self.city, self.state, self.country)
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self.longitude, self.latitude = resp['location']['coordinates']
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resp = await self._client.api.city(self.city, self.state, self.country)
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self.longitude, self.latitude = resp["location"]["coordinates"]
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else:
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resp = await self._client.api.nearest_city(
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self.latitude, self.longitude)
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self.latitude, self.longitude
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)
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_LOGGER.debug("New data retrieved: %s", resp)
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self.pollution_info = resp['current']['pollution']
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self.pollution_info = resp["current"]["pollution"]
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except (KeyError, AirVisualError) as err:
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if self.city and self.state and self.country:
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location = (self.city, self.state, self.country)
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else:
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location = (self.latitude, self.longitude)
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_LOGGER.error(
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"Can't retrieve data for location: %s (%s)", location,
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err)
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_LOGGER.error("Can't retrieve data for location: %s (%s)", location, err)
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self.pollution_info = {}
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