""" Support for Xiaomi Mi Flora BLE plant sensor. For more details about this platform, please refer to the documentation at https://home-assistant.io/components/sensor.miflora/ """ from datetime import timedelta import logging import voluptuous as vol from homeassistant.components.sensor import PLATFORM_SCHEMA from homeassistant.helpers.entity import Entity import homeassistant.helpers.config_validation as cv from homeassistant.util import Throttle from homeassistant.const import ( CONF_MONITORED_CONDITIONS, CONF_NAME, CONF_MAC) REQUIREMENTS = ['miflora==0.1.13'] _LOGGER = logging.getLogger(__name__) CONF_CACHE = 'cache_value' CONF_FORCE_UPDATE = 'force_update' CONF_MEDIAN = 'median' CONF_RETRIES = 'retries' CONF_TIMEOUT = 'timeout' DEFAULT_FORCE_UPDATE = False DEFAULT_MEDIAN = 3 DEFAULT_NAME = 'Mi Flora' DEFAULT_RETRIES = 2 DEFAULT_TIMEOUT = 10 UPDATE_INTERVAL = 1200 MIN_TIME_BETWEEN_UPDATES = timedelta(seconds=UPDATE_INTERVAL) # Sensor types are defined like: Name, units SENSOR_TYPES = { 'temperature': ['Temperature', '°C'], 'light': ['Light intensity', 'lux'], 'moisture': ['Moisture', '%'], 'conductivity': ['Conductivity', 'µS/cm'], 'battery': ['Battery', '%'], } PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({ vol.Required(CONF_MAC): cv.string, vol.Required(CONF_MONITORED_CONDITIONS): vol.All(cv.ensure_list, [vol.In(SENSOR_TYPES)]), vol.Optional(CONF_NAME, default=DEFAULT_NAME): cv.string, vol.Optional(CONF_MEDIAN, default=DEFAULT_MEDIAN): cv.positive_int, vol.Optional(CONF_FORCE_UPDATE, default=DEFAULT_FORCE_UPDATE): cv.boolean, vol.Optional(CONF_TIMEOUT, default=DEFAULT_TIMEOUT): cv.positive_int, vol.Optional(CONF_RETRIES, default=DEFAULT_RETRIES): cv.positive_int, vol.Optional(CONF_CACHE, default=UPDATE_INTERVAL): cv.positive_int, }) def setup_platform(hass, config, add_devices, discovery_info=None): """Setup the MiFlora sensor.""" from miflora import miflora_poller cache = config.get(CONF_CACHE) poller = miflora_poller.MiFloraPoller( config.get(CONF_MAC), cache_timeout=cache) force_update = config.get(CONF_FORCE_UPDATE) median = config.get(CONF_MEDIAN) poller.ble_timeout = config.get(CONF_TIMEOUT) poller.retries = config.get(CONF_RETRIES) devs = [] for parameter in config[CONF_MONITORED_CONDITIONS]: name = SENSOR_TYPES[parameter][0] unit = SENSOR_TYPES[parameter][1] prefix = config.get(CONF_NAME) if len(prefix) > 0: name = "{} {}".format(prefix, name) devs.append(MiFloraSensor( poller, parameter, name, unit, force_update, median)) add_devices(devs) class MiFloraSensor(Entity): """Implementing the MiFlora sensor.""" def __init__(self, poller, parameter, name, unit, force_update, median): """Initialize the sensor.""" self.poller = poller self.parameter = parameter self._unit = unit self._name = name self._state = None self.data = [] self._force_update = force_update # Median is used to filter out outliers. median of 3 will filter # single outliers, while median of 5 will filter double outliers # Use median_count = 1 if no filtering is required. self.median_count = median @property def name(self): """Return the name of the sensor.""" return self._name @property def state(self): """Return the state of the sensor.""" return self._state @property def unit_of_measurement(self): """Return the units of measurement.""" return self._unit @property def force_update(self): """Force update.""" return self._force_update @Throttle(MIN_TIME_BETWEEN_UPDATES) def update(self): """ Update current conditions. This uses a rolling median over 3 values to filter out outliers. """ try: _LOGGER.debug("Polling data for %s", self.name) data = self.poller.parameter_value(self.parameter) except IOError as ioerr: _LOGGER.info("Polling error %s", ioerr) data = None return if data is not None: _LOGGER.debug("%s = %s", self.name, data) self.data.append(data) else: _LOGGER.info("Did not receive any data from Mi Flora sensor %s", self.name) # Remove old data from median list or set sensor value to None # if no data is available anymore if len(self.data) > 0: self.data = self.data[1:] else: self._state = None return _LOGGER.debug("Data collected: %s", self.data) if len(self.data) > self.median_count: self.data = self.data[1:] if len(self.data) == self.median_count: median = sorted(self.data)[int((self.median_count - 1) / 2)] _LOGGER.debug("Median is: %s", median) self._state = median else: _LOGGER.debug("Not yet enough data for median calculation")