862 lines
24 KiB
Python
862 lines
24 KiB
Python
"""Support for Dark Sky weather service."""
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from datetime import timedelta
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import logging
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import forecastio
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from requests.exceptions import ConnectionError as ConnectError, HTTPError, Timeout
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import voluptuous as vol
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from homeassistant.components.sensor import (
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DEVICE_CLASS_TEMPERATURE,
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PLATFORM_SCHEMA,
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SensorEntity,
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)
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from homeassistant.const import (
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ATTR_ATTRIBUTION,
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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_NAME,
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CONF_SCAN_INTERVAL,
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DEGREE,
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LENGTH_CENTIMETERS,
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LENGTH_KILOMETERS,
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PERCENTAGE,
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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PRESSURE_MBAR,
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SPEED_KILOMETERS_PER_HOUR,
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SPEED_METERS_PER_SECOND,
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SPEED_MILES_PER_HOUR,
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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UV_INDEX,
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)
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import homeassistant.helpers.config_validation as cv
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from homeassistant.util import Throttle
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_LOGGER = logging.getLogger(__name__)
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ATTRIBUTION = "Powered by Dark Sky"
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CONF_FORECAST = "forecast"
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CONF_HOURLY_FORECAST = "hourly_forecast"
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CONF_LANGUAGE = "language"
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CONF_UNITS = "units"
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DEFAULT_LANGUAGE = "en"
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DEFAULT_NAME = "Dark Sky"
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SCAN_INTERVAL = timedelta(seconds=300)
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DEPRECATED_SENSOR_TYPES = {
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"apparent_temperature_max",
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"apparent_temperature_min",
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"temperature_max",
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"temperature_min",
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}
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# Sensor types are defined like so:
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# Name, si unit, us unit, ca unit, uk unit, uk2 unit
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SENSOR_TYPES = {
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"summary": [
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"Summary",
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None,
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None,
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None,
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None,
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None,
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None,
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["currently", "hourly", "daily"],
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],
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"minutely_summary": ["Minutely Summary", None, None, None, None, None, None, []],
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"hourly_summary": ["Hourly Summary", None, None, None, None, None, None, []],
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"daily_summary": ["Daily Summary", None, None, None, None, None, None, []],
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"icon": [
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"Icon",
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None,
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None,
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None,
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None,
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None,
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None,
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["currently", "hourly", "daily"],
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],
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"nearest_storm_distance": [
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"Nearest Storm Distance",
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LENGTH_KILOMETERS,
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"mi",
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LENGTH_KILOMETERS,
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LENGTH_KILOMETERS,
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"mi",
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"mdi:weather-lightning",
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["currently"],
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],
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"nearest_storm_bearing": [
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"Nearest Storm Bearing",
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DEGREE,
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DEGREE,
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DEGREE,
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DEGREE,
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DEGREE,
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"mdi:weather-lightning",
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["currently"],
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],
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"precip_type": [
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"Precip",
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None,
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None,
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None,
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None,
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None,
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"mdi:weather-pouring",
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["currently", "minutely", "hourly", "daily"],
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],
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"precip_intensity": [
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"Precip Intensity",
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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"in",
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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"mdi:weather-rainy",
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["currently", "minutely", "hourly", "daily"],
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],
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"precip_probability": [
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"Precip Probability",
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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"mdi:water-percent",
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["currently", "minutely", "hourly", "daily"],
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],
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"precip_accumulation": [
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"Precip Accumulation",
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LENGTH_CENTIMETERS,
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"in",
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LENGTH_CENTIMETERS,
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LENGTH_CENTIMETERS,
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LENGTH_CENTIMETERS,
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"mdi:weather-snowy",
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["hourly", "daily"],
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],
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"temperature": [
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"Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["currently", "hourly"],
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],
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"apparent_temperature": [
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"Apparent Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["currently", "hourly"],
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],
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"dew_point": [
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"Dew Point",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["currently", "hourly", "daily"],
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],
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"wind_speed": [
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"Wind Speed",
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SPEED_METERS_PER_SECOND,
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SPEED_MILES_PER_HOUR,
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SPEED_KILOMETERS_PER_HOUR,
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SPEED_MILES_PER_HOUR,
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SPEED_MILES_PER_HOUR,
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"mdi:weather-windy",
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["currently", "hourly", "daily"],
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],
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"wind_bearing": [
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"Wind Bearing",
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DEGREE,
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DEGREE,
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DEGREE,
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DEGREE,
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DEGREE,
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"mdi:compass",
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["currently", "hourly", "daily"],
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],
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"wind_gust": [
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"Wind Gust",
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SPEED_METERS_PER_SECOND,
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SPEED_MILES_PER_HOUR,
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SPEED_KILOMETERS_PER_HOUR,
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SPEED_MILES_PER_HOUR,
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SPEED_MILES_PER_HOUR,
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"mdi:weather-windy-variant",
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["currently", "hourly", "daily"],
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],
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"cloud_cover": [
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"Cloud Coverage",
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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"mdi:weather-partly-cloudy",
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["currently", "hourly", "daily"],
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],
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"humidity": [
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"Humidity",
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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PERCENTAGE,
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"mdi:water-percent",
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["currently", "hourly", "daily"],
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],
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"pressure": [
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"Pressure",
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PRESSURE_MBAR,
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PRESSURE_MBAR,
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PRESSURE_MBAR,
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PRESSURE_MBAR,
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PRESSURE_MBAR,
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"mdi:gauge",
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["currently", "hourly", "daily"],
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],
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"visibility": [
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"Visibility",
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LENGTH_KILOMETERS,
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"mi",
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LENGTH_KILOMETERS,
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LENGTH_KILOMETERS,
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"mi",
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"mdi:eye",
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["currently", "hourly", "daily"],
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],
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"ozone": [
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"Ozone",
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"DU",
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"DU",
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"DU",
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"DU",
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"DU",
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"mdi:eye",
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["currently", "hourly", "daily"],
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],
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"apparent_temperature_max": [
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"Daily High Apparent Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["daily"],
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],
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"apparent_temperature_high": [
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"Daytime High Apparent Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["daily"],
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],
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"apparent_temperature_min": [
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"Daily Low Apparent Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["daily"],
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],
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"apparent_temperature_low": [
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"Overnight Low Apparent Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["daily"],
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],
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"temperature_max": [
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"Daily High Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["daily"],
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],
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"temperature_high": [
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"Daytime High Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["daily"],
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],
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"temperature_min": [
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"Daily Low Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["daily"],
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],
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"temperature_low": [
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"Overnight Low Temperature",
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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TEMP_CELSIUS,
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"mdi:thermometer",
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["daily"],
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],
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"precip_intensity_max": [
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"Daily Max Precip Intensity",
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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"in",
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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PRECIPITATION_MILLIMETERS_PER_HOUR,
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"mdi:thermometer",
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["daily"],
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],
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"uv_index": [
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"UV Index",
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UV_INDEX,
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UV_INDEX,
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UV_INDEX,
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UV_INDEX,
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UV_INDEX,
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"mdi:weather-sunny",
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["currently", "hourly", "daily"],
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],
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"moon_phase": [
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"Moon Phase",
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None,
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None,
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None,
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None,
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None,
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"mdi:weather-night",
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["daily"],
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],
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"sunrise_time": [
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"Sunrise",
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None,
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None,
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None,
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None,
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None,
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"mdi:white-balance-sunny",
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["daily"],
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],
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"sunset_time": [
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"Sunset",
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None,
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None,
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None,
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None,
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None,
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"mdi:weather-night",
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["daily"],
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],
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"alerts": ["Alerts", None, None, None, None, None, "mdi:alert-circle-outline", []],
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}
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CONDITION_PICTURES = {
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"clear-day": ["/static/images/darksky/weather-sunny.svg", "mdi:weather-sunny"],
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"clear-night": ["/static/images/darksky/weather-night.svg", "mdi:weather-night"],
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"rain": ["/static/images/darksky/weather-pouring.svg", "mdi:weather-pouring"],
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"snow": ["/static/images/darksky/weather-snowy.svg", "mdi:weather-snowy"],
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"sleet": ["/static/images/darksky/weather-hail.svg", "mdi:weather-snowy-rainy"],
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"wind": ["/static/images/darksky/weather-windy.svg", "mdi:weather-windy"],
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"fog": ["/static/images/darksky/weather-fog.svg", "mdi:weather-fog"],
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"cloudy": ["/static/images/darksky/weather-cloudy.svg", "mdi:weather-cloudy"],
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"partly-cloudy-day": [
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"/static/images/darksky/weather-partlycloudy.svg",
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"mdi:weather-partly-cloudy",
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],
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"partly-cloudy-night": [
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"/static/images/darksky/weather-cloudy.svg",
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"mdi:weather-night-partly-cloudy",
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],
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}
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# Language Supported Codes
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LANGUAGE_CODES = [
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"ar",
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"az",
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"be",
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"bg",
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"bn",
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"bs",
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"ca",
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"cs",
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"da",
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"de",
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"el",
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"en",
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"ja",
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"ka",
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"kn",
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"ko",
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"eo",
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"es",
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"et",
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"fi",
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"fr",
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"he",
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"hi",
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"hr",
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"hu",
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"id",
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"is",
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"it",
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"kw",
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"lv",
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"ml",
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"mr",
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"nb",
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"nl",
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"pa",
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"pl",
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"pt",
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"ro",
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"ru",
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"sk",
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"sl",
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"sr",
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"sv",
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"ta",
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"te",
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"tet",
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"tr",
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"uk",
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"ur",
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"x-pig-latin",
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"zh",
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"zh-tw",
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]
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ALLOWED_UNITS = ["auto", "si", "us", "ca", "uk", "uk2"]
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ALERTS_ATTRS = ["time", "description", "expires", "severity", "uri", "regions", "title"]
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PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend(
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{
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vol.Required(CONF_MONITORED_CONDITIONS): vol.All(
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cv.ensure_list, [vol.In(SENSOR_TYPES)]
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),
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vol.Required(CONF_API_KEY): cv.string,
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vol.Optional(CONF_NAME, default=DEFAULT_NAME): cv.string,
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vol.Optional(CONF_UNITS): vol.In(ALLOWED_UNITS),
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vol.Optional(CONF_LANGUAGE, default=DEFAULT_LANGUAGE): vol.In(LANGUAGE_CODES),
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vol.Inclusive(
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CONF_LATITUDE, "coordinates", "Latitude and longitude must exist together"
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): cv.latitude,
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vol.Inclusive(
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CONF_LONGITUDE, "coordinates", "Latitude and longitude must exist together"
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): cv.longitude,
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vol.Optional(CONF_FORECAST): vol.All(cv.ensure_list, [vol.Range(min=0, max=7)]),
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vol.Optional(CONF_HOURLY_FORECAST): vol.All(
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cv.ensure_list, [vol.Range(min=0, max=48)]
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),
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}
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)
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def setup_platform(hass, config, add_entities, discovery_info=None):
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"""Set up the Dark Sky sensor."""
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latitude = config.get(CONF_LATITUDE, hass.config.latitude)
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longitude = config.get(CONF_LONGITUDE, hass.config.longitude)
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language = config.get(CONF_LANGUAGE)
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interval = config.get(CONF_SCAN_INTERVAL, SCAN_INTERVAL)
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if CONF_UNITS in config:
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units = config[CONF_UNITS]
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elif hass.config.units.is_metric:
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units = "si"
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else:
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units = "us"
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forecast_data = DarkSkyData(
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api_key=config.get(CONF_API_KEY),
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latitude=latitude,
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longitude=longitude,
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units=units,
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language=language,
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interval=interval,
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)
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forecast_data.update()
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forecast_data.update_currently()
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# If connection failed don't setup platform.
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if forecast_data.data is None:
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return
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name = config.get(CONF_NAME)
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forecast = config.get(CONF_FORECAST)
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forecast_hour = config.get(CONF_HOURLY_FORECAST)
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sensors = []
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for variable in config[CONF_MONITORED_CONDITIONS]:
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if variable in DEPRECATED_SENSOR_TYPES:
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_LOGGER.warning("Monitored condition %s is deprecated", variable)
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if not SENSOR_TYPES[variable][7] or "currently" in SENSOR_TYPES[variable][7]:
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if variable == "alerts":
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sensors.append(DarkSkyAlertSensor(forecast_data, variable, name))
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else:
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sensors.append(DarkSkySensor(forecast_data, variable, name))
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if forecast is not None and "daily" in SENSOR_TYPES[variable][7]:
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for forecast_day in forecast:
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sensors.append(
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DarkSkySensor(
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forecast_data, variable, name, forecast_day=forecast_day
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)
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)
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if forecast_hour is not None and "hourly" in SENSOR_TYPES[variable][7]:
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for forecast_h in forecast_hour:
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sensors.append(
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DarkSkySensor(
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forecast_data, variable, name, forecast_hour=forecast_h
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)
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)
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|
|
add_entities(sensors, True)
|
|
|
|
|
|
class DarkSkySensor(SensorEntity):
|
|
"""Implementation of a Dark Sky sensor."""
|
|
|
|
def __init__(
|
|
self, forecast_data, sensor_type, name, forecast_day=None, forecast_hour=None
|
|
):
|
|
"""Initialize the sensor."""
|
|
self.client_name = name
|
|
self._name = SENSOR_TYPES[sensor_type][0]
|
|
self.forecast_data = forecast_data
|
|
self.type = sensor_type
|
|
self.forecast_day = forecast_day
|
|
self.forecast_hour = forecast_hour
|
|
self._state = None
|
|
self._icon = None
|
|
self._unit_of_measurement = None
|
|
|
|
@property
|
|
def name(self):
|
|
"""Return the name of the sensor."""
|
|
if self.forecast_day is not None:
|
|
return f"{self.client_name} {self._name} {self.forecast_day}d"
|
|
if self.forecast_hour is not None:
|
|
return f"{self.client_name} {self._name} {self.forecast_hour}h"
|
|
return f"{self.client_name} {self._name}"
|
|
|
|
@property
|
|
def state(self):
|
|
"""Return the state of the sensor."""
|
|
return self._state
|
|
|
|
@property
|
|
def unit_of_measurement(self):
|
|
"""Return the unit of measurement of this entity, if any."""
|
|
return self._unit_of_measurement
|
|
|
|
@property
|
|
def unit_system(self):
|
|
"""Return the unit system of this entity."""
|
|
return self.forecast_data.unit_system
|
|
|
|
@property
|
|
def entity_picture(self):
|
|
"""Return the entity picture to use in the frontend, if any."""
|
|
if self._icon is None or "summary" not in self.type:
|
|
return None
|
|
|
|
if self._icon in CONDITION_PICTURES:
|
|
return CONDITION_PICTURES[self._icon][0]
|
|
|
|
return None
|
|
|
|
def update_unit_of_measurement(self):
|
|
"""Update units based on unit system."""
|
|
unit_index = {"si": 1, "us": 2, "ca": 3, "uk": 4, "uk2": 5}.get(
|
|
self.unit_system, 1
|
|
)
|
|
self._unit_of_measurement = SENSOR_TYPES[self.type][unit_index]
|
|
|
|
@property
|
|
def icon(self):
|
|
"""Icon to use in the frontend, if any."""
|
|
if "summary" in self.type and self._icon in CONDITION_PICTURES:
|
|
return CONDITION_PICTURES[self._icon][1]
|
|
|
|
return SENSOR_TYPES[self.type][6]
|
|
|
|
@property
|
|
def device_class(self):
|
|
"""Device class of the entity."""
|
|
if SENSOR_TYPES[self.type][1] == TEMP_CELSIUS:
|
|
return DEVICE_CLASS_TEMPERATURE
|
|
|
|
return None
|
|
|
|
@property
|
|
def extra_state_attributes(self):
|
|
"""Return the state attributes."""
|
|
return {ATTR_ATTRIBUTION: ATTRIBUTION}
|
|
|
|
def update(self):
|
|
"""Get the latest data from Dark Sky and updates the states."""
|
|
# Call the API for new forecast data. Each sensor will re-trigger this
|
|
# same exact call, but that's fine. We cache results for a short period
|
|
# of time to prevent hitting API limits. Note that Dark Sky will
|
|
# charge users for too many calls in 1 day, so take care when updating.
|
|
self.forecast_data.update()
|
|
self.update_unit_of_measurement()
|
|
|
|
if self.type == "minutely_summary":
|
|
self.forecast_data.update_minutely()
|
|
minutely = self.forecast_data.data_minutely
|
|
self._state = getattr(minutely, "summary", "")
|
|
self._icon = getattr(minutely, "icon", "")
|
|
elif self.type == "hourly_summary":
|
|
self.forecast_data.update_hourly()
|
|
hourly = self.forecast_data.data_hourly
|
|
self._state = getattr(hourly, "summary", "")
|
|
self._icon = getattr(hourly, "icon", "")
|
|
elif self.forecast_hour is not None:
|
|
self.forecast_data.update_hourly()
|
|
hourly = self.forecast_data.data_hourly
|
|
if hasattr(hourly, "data"):
|
|
self._state = self.get_state(hourly.data[self.forecast_hour])
|
|
else:
|
|
self._state = 0
|
|
elif self.type == "daily_summary":
|
|
self.forecast_data.update_daily()
|
|
daily = self.forecast_data.data_daily
|
|
self._state = getattr(daily, "summary", "")
|
|
self._icon = getattr(daily, "icon", "")
|
|
elif self.forecast_day is not None:
|
|
self.forecast_data.update_daily()
|
|
daily = self.forecast_data.data_daily
|
|
if hasattr(daily, "data"):
|
|
self._state = self.get_state(daily.data[self.forecast_day])
|
|
else:
|
|
self._state = 0
|
|
else:
|
|
self.forecast_data.update_currently()
|
|
currently = self.forecast_data.data_currently
|
|
self._state = self.get_state(currently)
|
|
|
|
def get_state(self, data):
|
|
"""
|
|
Return a new state based on the type.
|
|
|
|
If the sensor type is unknown, the current state is returned.
|
|
"""
|
|
lookup_type = convert_to_camel(self.type)
|
|
state = getattr(data, lookup_type, None)
|
|
|
|
if state is None:
|
|
return state
|
|
|
|
if "summary" in self.type:
|
|
self._icon = getattr(data, "icon", "")
|
|
|
|
# Some state data needs to be rounded to whole values or converted to
|
|
# percentages
|
|
if self.type in ["precip_probability", "cloud_cover", "humidity"]:
|
|
return round(state * 100, 1)
|
|
|
|
if self.type in [
|
|
"dew_point",
|
|
"temperature",
|
|
"apparent_temperature",
|
|
"temperature_low",
|
|
"apparent_temperature_low",
|
|
"temperature_min",
|
|
"apparent_temperature_min",
|
|
"temperature_high",
|
|
"apparent_temperature_high",
|
|
"temperature_max",
|
|
"apparent_temperature_max",
|
|
"precip_accumulation",
|
|
"pressure",
|
|
"ozone",
|
|
"uvIndex",
|
|
]:
|
|
return round(state, 1)
|
|
return state
|
|
|
|
|
|
class DarkSkyAlertSensor(SensorEntity):
|
|
"""Implementation of a Dark Sky sensor."""
|
|
|
|
def __init__(self, forecast_data, sensor_type, name):
|
|
"""Initialize the sensor."""
|
|
self.client_name = name
|
|
self._name = SENSOR_TYPES[sensor_type][0]
|
|
self.forecast_data = forecast_data
|
|
self.type = sensor_type
|
|
self._state = None
|
|
self._icon = None
|
|
self._alerts = None
|
|
|
|
@property
|
|
def name(self):
|
|
"""Return the name of the sensor."""
|
|
return f"{self.client_name} {self._name}"
|
|
|
|
@property
|
|
def state(self):
|
|
"""Return the state of the sensor."""
|
|
return self._state
|
|
|
|
@property
|
|
def icon(self):
|
|
"""Icon to use in the frontend, if any."""
|
|
if self._state is not None and self._state > 0:
|
|
return "mdi:alert-circle"
|
|
return "mdi:alert-circle-outline"
|
|
|
|
@property
|
|
def extra_state_attributes(self):
|
|
"""Return the state attributes."""
|
|
return self._alerts
|
|
|
|
def update(self):
|
|
"""Get the latest data from Dark Sky and updates the states."""
|
|
# Call the API for new forecast data. Each sensor will re-trigger this
|
|
# same exact call, but that's fine. We cache results for a short period
|
|
# of time to prevent hitting API limits. Note that Dark Sky will
|
|
# charge users for too many calls in 1 day, so take care when updating.
|
|
self.forecast_data.update()
|
|
self.forecast_data.update_alerts()
|
|
alerts = self.forecast_data.data_alerts
|
|
self._state = self.get_state(alerts)
|
|
|
|
def get_state(self, data):
|
|
"""
|
|
Return a new state based on the type.
|
|
|
|
If the sensor type is unknown, the current state is returned.
|
|
"""
|
|
alerts = {}
|
|
if data is None:
|
|
self._alerts = alerts
|
|
return data
|
|
|
|
multiple_alerts = len(data) > 1
|
|
for i, alert in enumerate(data):
|
|
for attr in ALERTS_ATTRS:
|
|
if multiple_alerts:
|
|
dkey = f"{attr}_{i!s}"
|
|
else:
|
|
dkey = attr
|
|
alerts[dkey] = getattr(alert, attr)
|
|
self._alerts = alerts
|
|
|
|
return len(data)
|
|
|
|
|
|
def convert_to_camel(data):
|
|
"""
|
|
Convert snake case (foo_bar_bat) to camel case (fooBarBat).
|
|
|
|
This is not pythonic, but needed for certain situations.
|
|
"""
|
|
components = data.split("_")
|
|
capital_components = "".join(x.title() for x in components[1:])
|
|
return f"{components[0]}{capital_components}"
|
|
|
|
|
|
class DarkSkyData:
|
|
"""Get the latest data from Darksky."""
|
|
|
|
def __init__(self, api_key, latitude, longitude, units, language, interval):
|
|
"""Initialize the data object."""
|
|
self._api_key = api_key
|
|
self.latitude = latitude
|
|
self.longitude = longitude
|
|
self.units = units
|
|
self.language = language
|
|
self._connect_error = False
|
|
|
|
self.data = None
|
|
self.unit_system = None
|
|
self.data_currently = None
|
|
self.data_minutely = None
|
|
self.data_hourly = None
|
|
self.data_daily = None
|
|
self.data_alerts = None
|
|
|
|
# Apply throttling to methods using configured interval
|
|
self.update = Throttle(interval)(self._update)
|
|
self.update_currently = Throttle(interval)(self._update_currently)
|
|
self.update_minutely = Throttle(interval)(self._update_minutely)
|
|
self.update_hourly = Throttle(interval)(self._update_hourly)
|
|
self.update_daily = Throttle(interval)(self._update_daily)
|
|
self.update_alerts = Throttle(interval)(self._update_alerts)
|
|
|
|
def _update(self):
|
|
"""Get the latest data from Dark Sky."""
|
|
try:
|
|
self.data = forecastio.load_forecast(
|
|
self._api_key,
|
|
self.latitude,
|
|
self.longitude,
|
|
units=self.units,
|
|
lang=self.language,
|
|
)
|
|
if self._connect_error:
|
|
self._connect_error = False
|
|
_LOGGER.info("Reconnected to Dark Sky")
|
|
except (ConnectError, HTTPError, Timeout, ValueError) as error:
|
|
if not self._connect_error:
|
|
self._connect_error = True
|
|
_LOGGER.error("Unable to connect to Dark Sky: %s", error)
|
|
self.data = None
|
|
self.unit_system = self.data and self.data.json["flags"]["units"]
|
|
|
|
def _update_currently(self):
|
|
"""Update currently data."""
|
|
self.data_currently = self.data and self.data.currently()
|
|
|
|
def _update_minutely(self):
|
|
"""Update minutely data."""
|
|
self.data_minutely = self.data and self.data.minutely()
|
|
|
|
def _update_hourly(self):
|
|
"""Update hourly data."""
|
|
self.data_hourly = self.data and self.data.hourly()
|
|
|
|
def _update_daily(self):
|
|
"""Update daily data."""
|
|
self.data_daily = self.data and self.data.daily()
|
|
|
|
def _update_alerts(self):
|
|
"""Update alerts data."""
|
|
self.data_alerts = self.data and self.data.alerts()
|