246 lines
7.4 KiB
Python
246 lines
7.4 KiB
Python
"""Support for Xiaomi Mi Flora BLE plant sensor."""
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from datetime import timedelta
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import logging
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import btlewrap
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from btlewrap import BluetoothBackendException
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from miflora import miflora_poller
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import voluptuous as vol
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from homeassistant.components.sensor import PLATFORM_SCHEMA
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from homeassistant.const import (
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CONDUCTIVITY,
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CONF_FORCE_UPDATE,
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CONF_MAC,
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CONF_MONITORED_CONDITIONS,
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CONF_NAME,
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CONF_SCAN_INTERVAL,
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EVENT_HOMEASSISTANT_START,
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TEMP_CELSIUS,
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TEMP_FAHRENHEIT,
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UNIT_PERCENTAGE,
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)
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from homeassistant.core import callback
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import homeassistant.helpers.config_validation as cv
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from homeassistant.helpers.entity import Entity
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import homeassistant.util.dt as dt_util
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from homeassistant.util.temperature import celsius_to_fahrenheit
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try:
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import bluepy.btle # noqa: F401 pylint: disable=unused-import
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BACKEND = btlewrap.BluepyBackend
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except ImportError:
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BACKEND = btlewrap.GatttoolBackend
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_LOGGER = logging.getLogger(__name__)
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CONF_ADAPTER = "adapter"
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CONF_MEDIAN = "median"
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CONF_GO_UNAVAILABLE_TIMEOUT = "go_unavailable_timeout"
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DEFAULT_ADAPTER = "hci0"
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DEFAULT_FORCE_UPDATE = False
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DEFAULT_MEDIAN = 3
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DEFAULT_NAME = "Mi Flora"
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DEFAULT_GO_UNAVAILABLE_TIMEOUT = timedelta(seconds=7200)
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SCAN_INTERVAL = timedelta(seconds=1200)
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ATTR_LAST_SUCCESSFUL_UPDATE = "last_successful_update"
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# Sensor types are defined like: Name, units, icon
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SENSOR_TYPES = {
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"temperature": ["Temperature", TEMP_CELSIUS, "mdi:thermometer"],
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"light": ["Light intensity", "lx", "mdi:white-balance-sunny"],
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"moisture": ["Moisture", UNIT_PERCENTAGE, "mdi:water-percent"],
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"conductivity": ["Conductivity", CONDUCTIVITY, "mdi:flash-circle"],
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"battery": ["Battery", UNIT_PERCENTAGE, "mdi:battery-charging"],
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}
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PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend(
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{
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vol.Required(CONF_MAC): cv.string,
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vol.Optional(CONF_MONITORED_CONDITIONS, default=list(SENSOR_TYPES)): vol.All(
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cv.ensure_list, [vol.In(SENSOR_TYPES)]
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),
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vol.Optional(CONF_NAME, default=DEFAULT_NAME): cv.string,
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vol.Optional(CONF_MEDIAN, default=DEFAULT_MEDIAN): cv.positive_int,
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vol.Optional(CONF_FORCE_UPDATE, default=DEFAULT_FORCE_UPDATE): cv.boolean,
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vol.Optional(CONF_ADAPTER, default=DEFAULT_ADAPTER): cv.string,
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vol.Optional(
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CONF_GO_UNAVAILABLE_TIMEOUT, default=DEFAULT_GO_UNAVAILABLE_TIMEOUT
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): cv.time_period,
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}
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)
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async def async_setup_platform(hass, config, async_add_entities, discovery_info=None):
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"""Set up the MiFlora sensor."""
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backend = BACKEND
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_LOGGER.debug("Miflora is using %s backend.", backend.__name__)
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cache = config.get(CONF_SCAN_INTERVAL, SCAN_INTERVAL).total_seconds()
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poller = miflora_poller.MiFloraPoller(
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config.get(CONF_MAC),
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cache_timeout=cache,
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adapter=config.get(CONF_ADAPTER),
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backend=backend,
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)
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force_update = config.get(CONF_FORCE_UPDATE)
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median = config.get(CONF_MEDIAN)
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go_unavailable_timeout = config.get(CONF_GO_UNAVAILABLE_TIMEOUT)
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devs = []
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for parameter in config[CONF_MONITORED_CONDITIONS]:
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name = SENSOR_TYPES[parameter][0]
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unit = (
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hass.config.units.temperature_unit
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if parameter == "temperature"
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else SENSOR_TYPES[parameter][1]
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)
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icon = SENSOR_TYPES[parameter][2]
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prefix = config.get(CONF_NAME)
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if prefix:
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name = f"{prefix} {name}"
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devs.append(
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MiFloraSensor(
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poller,
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parameter,
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name,
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unit,
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icon,
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force_update,
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median,
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go_unavailable_timeout,
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)
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)
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async_add_entities(devs)
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class MiFloraSensor(Entity):
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"""Implementing the MiFlora sensor."""
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def __init__(
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self,
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poller,
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parameter,
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name,
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unit,
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icon,
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force_update,
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median,
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go_unavailable_timeout,
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):
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"""Initialize the sensor."""
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self.poller = poller
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self.parameter = parameter
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self._unit = unit
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self._icon = icon
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self._name = name
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self._state = None
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self.data = []
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self._force_update = force_update
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self.go_unavailable_timeout = go_unavailable_timeout
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self.last_successful_update = dt_util.utc_from_timestamp(0)
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# Median is used to filter out outliers. median of 3 will filter
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# single outliers, while median of 5 will filter double outliers
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# Use median_count = 1 if no filtering is required.
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self.median_count = median
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async def async_added_to_hass(self):
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"""Set initial state."""
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@callback
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def on_startup(_):
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self.async_schedule_update_ha_state(True)
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self.hass.bus.async_listen_once(EVENT_HOMEASSISTANT_START, on_startup)
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@property
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def name(self):
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"""Return the name of the sensor."""
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return self._name
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@property
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def state(self):
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"""Return the state of the sensor."""
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return self._state
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@property
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def available(self):
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"""Return True if did update since 2h."""
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return self.last_successful_update > (
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dt_util.utcnow() - self.go_unavailable_timeout
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)
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@property
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def device_state_attributes(self):
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"""Return the state attributes of the device."""
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attr = {ATTR_LAST_SUCCESSFUL_UPDATE: self.last_successful_update}
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return attr
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@property
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def unit_of_measurement(self):
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"""Return the units of measurement."""
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return self._unit
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@property
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def icon(self):
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"""Return the icon of the sensor."""
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return self._icon
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@property
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def force_update(self):
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"""Force update."""
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return self._force_update
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def update(self):
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"""
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Update current conditions.
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This uses a rolling median over 3 values to filter out outliers.
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"""
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try:
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_LOGGER.debug("Polling data for %s", self.name)
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data = self.poller.parameter_value(self.parameter)
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except (OSError, BluetoothBackendException) as err:
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_LOGGER.info("Polling error %s: %s", type(err).__name__, err)
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return
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if data is not None:
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_LOGGER.debug("%s = %s", self.name, data)
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if self._unit == TEMP_FAHRENHEIT:
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data = celsius_to_fahrenheit(data)
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self.data.append(data)
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self.last_successful_update = dt_util.utcnow()
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else:
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_LOGGER.info("Did not receive any data from Mi Flora sensor %s", self.name)
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# Remove old data from median list or set sensor value to None
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# if no data is available anymore
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if self.data:
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self.data = self.data[1:]
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else:
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self._state = None
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return
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_LOGGER.debug("Data collected: %s", self.data)
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if len(self.data) > self.median_count:
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self.data = self.data[1:]
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if len(self.data) == self.median_count:
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median = sorted(self.data)[int((self.median_count - 1) / 2)]
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_LOGGER.debug("Median is: %s", median)
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self._state = median
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elif self._state is None:
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_LOGGER.debug("Set initial state")
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self._state = self.data[0]
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else:
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_LOGGER.debug("Not yet enough data for median calculation")
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