hass-core/homeassistant/components/nextbus/sensor.py

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"""NextBus sensor."""
import logging
from itertools import chain
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import CONF_NAME
from homeassistant.const import DEVICE_CLASS_TIMESTAMP
from homeassistant.helpers.entity import Entity
from homeassistant.util.dt import utc_from_timestamp
_LOGGER = logging.getLogger(__name__)
DOMAIN = 'nextbus'
CONF_AGENCY = 'agency'
CONF_ROUTE = 'route'
CONF_STOP = 'stop'
ICON = 'mdi:bus'
PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({
vol.Required(CONF_AGENCY): cv.string,
vol.Required(CONF_ROUTE): cv.string,
vol.Required(CONF_STOP): cv.string,
vol.Optional(CONF_NAME): cv.string,
})
def listify(maybe_list):
"""Return list version of whatever value is passed in.
This is used to provide a consistent way of interacting with the JSON
results from the API. There are several attributes that will either missing
if there are no values, a single dictionary if there is only one value, and
a list if there are multiple.
"""
if maybe_list is None:
return []
if isinstance(maybe_list, list):
return maybe_list
return [maybe_list]
def maybe_first(maybe_list):
"""Return the first item out of a list or returns back the input."""
if isinstance(maybe_list, list) and maybe_list:
return maybe_list[0]
return maybe_list
def validate_value(value_name, value, value_list):
"""Validate tag value is in the list of items and logs error if not."""
valid_values = {
v['tag']: v['title']
for v in value_list
}
if value not in valid_values:
_LOGGER.error(
'Invalid %s tag `%s`. Please use one of the following: %s',
value_name,
value,
', '.join(
'{}: {}'.format(title, tag)
for tag, title in valid_values.items()
)
)
return False
return True
def validate_tags(client, agency, route, stop):
"""Validate provided tags."""
# Validate agencies
if not validate_value(
'agency',
agency,
client.get_agency_list()['agency'],
):
return False
# Validate the route
if not validate_value(
'route',
route,
client.get_route_list(agency)['route'],
):
return False
# Validate the stop
route_config = client.get_route_config(route, agency)['route']
if not validate_value(
'stop',
stop,
route_config['stop'],
):
return False
return True
def setup_platform(hass, config, add_entities, discovery_info=None):
"""Load values from configuration and initialize the platform."""
agency = config[CONF_AGENCY]
route = config[CONF_ROUTE]
stop = config[CONF_STOP]
name = config.get(CONF_NAME)
from py_nextbus import NextBusClient
client = NextBusClient(output_format='json')
# Ensures that the tags provided are valid, also logs out valid values
if not validate_tags(client, agency, route, stop):
_LOGGER.error('Invalid config value(s)')
return
add_entities([
NextBusDepartureSensor(
client,
agency,
route,
stop,
name,
),
], True)
class NextBusDepartureSensor(Entity):
"""Sensor class that displays upcoming NextBus times.
To function, this requires knowing the agency tag as well as the tags for
both the route and the stop.
This is possibly a little convoluted to provide as it requires making a
request to the service to get these values. Perhaps it can be simplifed in
the future using fuzzy logic and matching.
"""
def __init__(self, client, agency, route, stop, name=None):
"""Initialize sensor with all required config."""
self.agency = agency
self.route = route
self.stop = stop
self._custom_name = name
# Maybe pull a more user friendly name from the API here
self._name = '{} {}'.format(agency, route)
self._client = client
# set up default state attributes
self._state = None
self._attributes = {}
def _log_debug(self, message, *args):
"""Log debug message with prefix."""
_LOGGER.debug(':'.join((
self.agency,
self.route,
self.stop,
message,
)), *args)
@property
def name(self):
"""Return sensor name.
Uses an auto generated name based on the data from the API unless a
custom name is provided in the configuration.
"""
if self._custom_name:
return self._custom_name
return self._name
@property
def device_class(self):
"""Return the device class."""
return DEVICE_CLASS_TIMESTAMP
@property
def state(self):
"""Return current state of the sensor."""
return self._state
@property
def device_state_attributes(self):
"""Return additional state attributes."""
return self._attributes
@property
def icon(self):
"""Return icon to be used for this sensor."""
# Would be nice if we could determine if the line is a train or bus
# however that doesn't seem to be available to us. Using bus for now.
return ICON
def update(self):
"""Update sensor with new departures times."""
# Note: using Multi because there is a bug with the single stop impl
results = self._client.get_predictions_for_multi_stops(
[{
'stop_tag': int(self.stop),
'route_tag': self.route,
}],
self.agency,
)
self._log_debug('Predictions results: %s', results)
if 'Error' in results:
self._log_debug('Could not get predictions: %s', results)
if not results.get('predictions'):
self._log_debug('No predictions available')
self._state = None
# Remove attributes that may now be outdated
self._attributes.pop('upcoming', None)
return
results = results['predictions']
# Set detailed attributes
self._attributes.update({
'agency': results.get('agencyTitle'),
'route': results.get('routeTitle'),
'stop': results.get('stopTitle'),
})
# List all messages in the attributes
messages = listify(results.get('message', []))
self._log_debug('Messages: %s', messages)
self._attributes['message'] = ' -- '.join((
message.get('text', '')
for message in messages
))
# List out all directions in the attributes
directions = listify(results.get('direction', []))
self._attributes['direction'] = ', '.join((
direction.get('title', '')
for direction in directions
))
# Chain all predictions together
predictions = list(chain(*(
listify(direction.get('prediction', []))
for direction in directions
)))
# Short circuit if we don't have any actual bus predictions
if not predictions:
self._log_debug('No upcoming predictions available')
self._state = None
self._attributes['upcoming'] = 'No upcoming predictions'
return
# Generate list of upcoming times
self._attributes['upcoming'] = ', '.join(
p['minutes'] for p in predictions
)
latest_prediction = maybe_first(predictions)
self._state = utc_from_timestamp(
int(latest_prediction['epochTime']) / 1000
).isoformat()