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core/homeassistant/components/sensor/darksky.py

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"""
Support for Dark Sky weather service.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.darksky/
"""
import logging
from datetime import timedelta
import voluptuous as vol
from requests.exceptions import ConnectionError as ConnectError, \
HTTPError, Timeout
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
CONF_API_KEY, CONF_NAME, CONF_MONITORED_CONDITIONS, ATTR_ATTRIBUTION,
CONF_LATITUDE, CONF_LONGITUDE)
from homeassistant.helpers.entity import Entity
from homeassistant.util import Throttle
import homeassistant.helpers.config_validation as cv
REQUIREMENTS = ['python-forecastio==1.3.5']
_LOGGER = logging.getLogger(__name__)
CONF_ATTRIBUTION = "Powered by Dark Sky"
CONF_UNITS = 'units'
CONF_UPDATE_INTERVAL = 'update_interval'
CONF_FORECAST = 'forecast'
DEFAULT_NAME = 'Dark Sky'
# Sensor types are defined like so:
# Name, si unit, us unit, ca unit, uk unit, uk2 unit
SENSOR_TYPES = {
'summary': ['Summary', None, None, None, None, None, None, []],
'minutely_summary': ['Minutely Summary',
None, None, None, None, None, None, []],
'hourly_summary': ['Hourly Summary', None, None, None, None, None, None,
[]],
'daily_summary': ['Daily Summary', None, None, None, None, None, None, []],
'icon': ['Icon', None, None, None, None, None, None,
['currently', 'hourly', 'daily']],
'nearest_storm_distance': ['Nearest Storm Distance',
'km', 'mi', 'km', 'km', 'mi',
'mdi:weather-lightning', ['currently']],
'nearest_storm_bearing': ['Nearest Storm Bearing',
'°', '°', '°', '°', '°',
'mdi:weather-lightning', ['currently']],
'precip_type': ['Precip', None, None, None, None, None,
'mdi:weather-pouring',
['currently', 'minutely', 'hourly', 'daily']],
'precip_intensity': ['Precip Intensity',
'mm', 'in', 'mm', 'mm', 'mm', 'mdi:weather-rainy',
['currently', 'minutely', 'hourly', 'daily']],
'precip_probability': ['Precip Probability',
'%', '%', '%', '%', '%', 'mdi:water-percent',
['currently', 'minutely', 'hourly', 'daily']],
'temperature': ['Temperature',
'°C', '°F', '°C', '°C', '°C', 'mdi:thermometer',
['currently', 'hourly']],
'apparent_temperature': ['Apparent Temperature',
'°C', '°F', '°C', '°C', '°C', 'mdi:thermometer',
['currently', 'hourly']],
'dew_point': ['Dew point', '°C', '°F', '°C', '°C', '°C',
'mdi:thermometer', ['currently', 'hourly', 'daily']],
'wind_speed': ['Wind Speed', 'm/s', 'mph', 'km/h', 'mph', 'mph',
'mdi:weather-windy', ['currently', 'hourly', 'daily']],
'wind_bearing': ['Wind Bearing', '°', '°', '°', '°', '°', 'mdi:compass',
['currently', 'hourly', 'daily']],
'cloud_cover': ['Cloud Coverage', '%', '%', '%', '%', '%',
'mdi:weather-partlycloudy',
['currently', 'hourly', 'daily']],
'humidity': ['Humidity', '%', '%', '%', '%', '%', 'mdi:water-percent',
['currently', 'hourly', 'daily']],
'pressure': ['Pressure', 'mbar', 'mbar', 'mbar', 'mbar', 'mbar',
'mdi:gauge', ['currently', 'hourly', 'daily']],
'visibility': ['Visibility', 'km', 'mi', 'km', 'km', 'mi', 'mdi:eye',
['currently', 'hourly', 'daily']],
'ozone': ['Ozone', 'DU', 'DU', 'DU', 'DU', 'DU', 'mdi:eye',
['currently', 'hourly', 'daily']],
'apparent_temperature_max': ['Daily High Apparent Temperature',
'°C', '°F', '°C', '°C', '°C',
'mdi:thermometer',
['currently', 'hourly', 'daily']],
'apparent_temperature_min': ['Daily Low Apparent Temperature',
'°C', '°F', '°C', '°C', '°C',
'mdi:thermometer',
['currently', 'hourly', 'daily']],
'temperature_max': ['Daily High Temperature',
'°C', '°F', '°C', '°C', '°C', 'mdi:thermometer',
['currently', 'hourly', 'daily']],
'temperature_min': ['Daily Low Temperature',
'°C', '°F', '°C', '°C', '°C', 'mdi:thermometer',
['currently', 'hourly', 'daily']],
'precip_intensity_max': ['Daily Max Precip Intensity',
'mm', 'in', 'mm', 'mm', 'mm', 'mdi:thermometer',
['currently', 'hourly', 'daily']],
}
CONDITION_PICTURES = {
'clear-day': '/static/images/darksky/weather-sunny.svg',
'clear-night': '/static/images/darksky/weather-night.svg',
'rain': '/static/images/darksky/weather-pouring.svg',
'snow': '/static/images/darksky/weather-snowy.svg',
'sleet': '/static/images/darksky/weather-hail.svg',
'wind': '/static/images/darksky/weather-windy.svg',
'fog': '/static/images/darksky/weather-fog.svg',
'cloudy': '/static/images/darksky/weather-cloudy.svg',
'partly-cloudy-day': '/static/images/darksky/weather-partlycloudy.svg',
'partly-cloudy-night': '/static/images/darksky/weather-cloudy.svg',
}
PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({
vol.Required(CONF_MONITORED_CONDITIONS):
vol.All(cv.ensure_list, [vol.In(SENSOR_TYPES)]),
vol.Required(CONF_API_KEY): cv.string,
vol.Optional(CONF_NAME, default=DEFAULT_NAME): cv.string,
vol.Optional(CONF_UNITS): vol.In(['auto', 'si', 'us', 'ca', 'uk', 'uk2']),
vol.Inclusive(CONF_LATITUDE, 'coordinates',
'Latitude and longitude must exist together'): cv.latitude,
vol.Inclusive(CONF_LONGITUDE, 'coordinates',
'Latitude and longitude must exist together'): cv.longitude,
vol.Optional(CONF_UPDATE_INTERVAL, default=timedelta(seconds=120)): (
vol.All(cv.time_period, cv.positive_timedelta)),
vol.Optional(CONF_FORECAST):
vol.All(cv.ensure_list, [vol.Range(min=1, max=7)]),
})
def setup_platform(hass, config, add_devices, discovery_info=None):
"""Setup the Dark Sky sensor."""
# latitude and longitude are inclusive on config
latitude = config.get(CONF_LATITUDE, hass.config.latitude)
longitude = config.get(CONF_LONGITUDE, hass.config.longitude)
if CONF_UNITS in config:
units = config[CONF_UNITS]
elif hass.config.units.is_metric:
units = 'si'
else:
units = 'us'
forecast_data = DarkSkyData(
api_key=config.get(CONF_API_KEY, None),
latitude=latitude,
longitude=longitude,
units=units,
interval=config.get(CONF_UPDATE_INTERVAL))
forecast_data.update()
forecast_data.update_currently()
# If connection failed don't setup platform.
if forecast_data.data is None:
return False
name = config.get(CONF_NAME)
forecast = config.get(CONF_FORECAST)
sensors = []
for variable in config[CONF_MONITORED_CONDITIONS]:
sensors.append(DarkSkySensor(forecast_data, variable, name))
if forecast is not None and 'daily' in SENSOR_TYPES[variable][7]:
for forecast_day in forecast:
sensors.append(DarkSkySensor(forecast_data,
variable, name, forecast_day))
add_devices(sensors, True)
class DarkSkySensor(Entity):
"""Implementation of a Dark Sky sensor."""
def __init__(self, forecast_data, sensor_type, name, forecast_day=0):
"""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._state = None
self._icon = None
self._unit_of_measurement = None
@property
def name(self):
"""Return the name of the sensor."""
if self.forecast_day == 0:
return '{} {}'.format(self.client_name, self._name)
else:
return '{} {} {}'.format(self.client_name, self._name,
self.forecast_day)
@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]
else:
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."""
return SENSOR_TYPES[self.type][6]
@property
def device_state_attributes(self):
"""Return the state attributes."""
return {
ATTR_ATTRIBUTION: CONF_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_day > 0 or (
self.type in ['daily_summary',
'temperature_min',
'temperature_max',
'apparent_temperature_min',
'apparent_temperature_max',
'precip_intensity_max']):
self.forecast_data.update_daily()
daily = self.forecast_data.data_daily
if self.type == 'daily_summary':
self._state = getattr(daily, 'summary', '')
self._icon = getattr(daily, 'icon', '')
else:
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):
"""
Helper function that returns 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)
elif (self.type in ['dew_point', 'temperature', 'apparent_temperature',
'temperature_min', 'temperature_max',
'apparent_temperature_min',
'apparent_temperature_max',
'pressure', 'ozone']):
return round(state, 1)
return state
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('_')
return components[0] + "".join(x.title() for x in components[1:])
class DarkSkyData(object):
"""Get the latest data from Darksky."""
def __init__(self, api_key, latitude, longitude, units, interval):
"""Initialize the data object."""
self._api_key = api_key
self.latitude = latitude
self.longitude = longitude
self.units = units
self.data = None
self.unit_system = None
self.data_currently = None
self.data_minutely = None
self.data_hourly = None
self.data_daily = 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)
def _update(self):
"""Get the latest data from Dark Sky."""
import forecastio
try:
self.data = forecastio.load_forecast(
self._api_key, self.latitude, self.longitude, units=self.units)
except (ConnectError, HTTPError, Timeout, ValueError) as error:
_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()
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