core/homeassistant/components/sensor/miflora.py

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"""
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==0.1.14']
_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'],
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'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")