Compare commits
9 Commits
issue-683-
...
4.2.0.alph
| Author | SHA1 | Date | |
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5540f6e8a9 | ||
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18a72bd907 | ||
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6a44d0dc4a | ||
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9e15aa48b9 | ||
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ae568c8be2 | ||
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8fe4eb7ac0 | ||
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328f5f7cb0 | ||
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41ae572875 | ||
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cf64109232 |
@@ -113,10 +113,17 @@ from .underlyings import UnderlyingEntity
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from .prop_algorithm import PropAlgorithm
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from .open_window_algorithm import WindowOpenDetectionAlgorithm
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from .ema import ExponentialMovingAverage
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_LOGGER = logging.getLogger(__name__)
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def get_tz(hass: HomeAssistant):
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"""Get the current timezone"""
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return dt_util.get_time_zone(hass.config.time_zone)
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class BaseThermostat(ClimateEntity, RestoreEntity):
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"""Representation of a base class for all Versatile Thermostat device."""
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@@ -246,6 +253,8 @@ class BaseThermostat(ClimateEntity, RestoreEntity):
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self._underlyings = []
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self._ema_temp = None
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self._ema_algo = None
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self.post_init(entry_infos)
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def post_init(self, entry_infos):
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@@ -450,6 +459,15 @@ class BaseThermostat(ClimateEntity, RestoreEntity):
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self._total_energy = 0
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self._ema_algo = ExponentialMovingAverage(
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self.name,
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self._cycle_min * 60,
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# Needed for time calculation
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get_tz(self._hass),
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# two digits after the coma for temperature slope calculation
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2,
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)
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_LOGGER.debug(
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"%s - Creation of a new VersatileThermostat entity: unique_id=%s",
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self,
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@@ -862,6 +880,11 @@ class BaseThermostat(ClimateEntity, RestoreEntity):
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"""Return the unit of measurement."""
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return self._unit
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@property
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def ema_temperature(self) -> str:
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"""Return the EMA temperature."""
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return self._ema_temp
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@property
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def hvac_mode(self) -> HVACMode | None:
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"""Return current operation."""
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@@ -1476,6 +1499,11 @@ class BaseThermostat(ClimateEntity, RestoreEntity):
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self._last_temperature_mesure = self.get_state_date_or_now(state)
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# calculate the smooth_temperature with EMA calculation
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self._ema_temp = self._ema_algo.calculate_ema(
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self._cur_temp, self._last_temperature_mesure
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)
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_LOGGER.debug(
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"%s - After setting _last_temperature_mesure %s , state.last_changed.replace=%s",
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self,
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@@ -1648,7 +1676,7 @@ class BaseThermostat(ClimateEntity, RestoreEntity):
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for under in self._underlyings:
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await under.turn_off()
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async def _async_manage_window_auto(self):
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async def _async_manage_window_auto(self, in_cycle=False):
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"""The management of the window auto feature"""
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async def dearm_window_auto(_):
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@@ -1678,9 +1706,17 @@ class BaseThermostat(ClimateEntity, RestoreEntity):
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if not self._window_auto_algo:
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return
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slope = self._window_auto_algo.add_temp_measurement(
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temperature=self._cur_temp, datetime_measure=self._last_temperature_mesure
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)
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if in_cycle:
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slope = self._window_auto_algo.check_age_last_measurement(
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temperature=self._ema_temp,
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datetime_now=datetime.now(get_tz(self._hass)),
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)
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else:
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slope = self._window_auto_algo.add_temp_measurement(
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temperature=self._ema_temp,
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datetime_measure=self._last_temperature_mesure,
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)
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_LOGGER.debug(
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"%s - Window auto is on, check the alert. last slope is %.3f",
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self,
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@@ -2029,6 +2065,9 @@ class BaseThermostat(ClimateEntity, RestoreEntity):
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self._attr_preset_mode,
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)
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# check auto_window conditions
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await self._async_manage_window_auto(in_cycle=True)
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# Issue 56 in over_climate mode, if the underlying climate is not initialized, try to initialize it
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for under in self._underlyings:
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if not under.is_initialized:
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@@ -2155,6 +2194,7 @@ class BaseThermostat(ClimateEntity, RestoreEntity):
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"max_power_sensor_entity_id": self._max_power_sensor_entity_id,
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"temperature_unit": self.temperature_unit,
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"is_device_active": self.is_device_active,
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"ema_temp": self._ema_temp,
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}
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@callback
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85
custom_components/versatile_thermostat/ema.py
Normal file
85
custom_components/versatile_thermostat/ema.py
Normal file
@@ -0,0 +1,85 @@
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# pylint: disable=line-too-long
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"""The Estimated Mobile Average calculation used for temperature slope
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and maybe some others feature"""
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import logging
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import math
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from datetime import datetime, tzinfo
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_LOGGER = logging.getLogger(__name__)
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MIN_TIME_DECAY_SEC = 0
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# As for the EMA calculation of irregular time series, I've seen that it might be useful to
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# have an upper limit for alpha in case the last measurement was too long ago.
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# For example when using a half life of 10 minutes a measurement that is 60 minutes ago
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# (if there's nothing inbetween) would contribute to the smoothed value with 1,5%,
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# giving the current measurement 98,5% relevance. It could be wise to limit the alpha to e.g. 4x the half life (=0.9375).
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MAX_ALPHA = 0.5
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class ExponentialMovingAverage:
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"""A class that will do the Estimated Mobile Average calculation"""
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def __init__(
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self, vterm_name: str, halflife: float, timezone: tzinfo, precision: int = 3
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):
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"""The halflife is the duration in secondes of a normal cycle"""
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self._halflife: float = halflife
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self._timezone = timezone
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self._current_ema: float = None
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self._last_timestamp: datetime = datetime.now(self._timezone)
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self._name = vterm_name
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self._precision = precision
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def __str__(self) -> str:
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return f"EMA-{self._name}"
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def calculate_ema(self, measurement: float, timestamp: datetime) -> float | None:
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"""Calculate the new EMA from a new measurement measured at timestamp
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Return the EMA or None if all parameters are not initialized now
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"""
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if measurement is None or timestamp is None:
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_LOGGER.warning(
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"%s - Cannot calculate EMA: measurement and timestamp are mandatory. This message can be normal at startup but should not persist",
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self,
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)
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return measurement
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if self._current_ema is None:
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_LOGGER.debug(
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"%s - First init of the EMA",
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self,
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)
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self._current_ema = measurement
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self._last_timestamp = timestamp
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return self._current_ema
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time_decay = (timestamp - self._last_timestamp).total_seconds()
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if time_decay < MIN_TIME_DECAY_SEC:
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_LOGGER.debug(
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"%s - time_decay %s is too small (< %s). Forget the measurement",
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self,
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time_decay,
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MIN_TIME_DECAY_SEC,
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)
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return self._current_ema
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alpha = 1 - math.exp(math.log(0.5) * time_decay / self._halflife)
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# capping alpha to avoid gap if last measurement was long time ago
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alpha = min(alpha, MAX_ALPHA)
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new_ema = alpha * measurement + (1 - alpha) * self._current_ema
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self._last_timestamp = timestamp
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self._current_ema = new_ema
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_LOGGER.debug(
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"%s - timestamp=%s alpha=%.2f measurement=%.2f current_ema=%.2f new_ema=%.2f",
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self,
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timestamp,
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alpha,
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measurement,
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self._current_ema,
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new_ema,
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)
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return round(self._current_ema, self._precision)
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@@ -1,3 +1,4 @@
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# pylint: disable=line-too-long
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""" This file implements the Open Window by temperature algorithm
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This algo works the following way:
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- each time a new temperature is measured
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@@ -12,9 +13,13 @@ from datetime import datetime
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_LOGGER = logging.getLogger(__name__)
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# To filter bad values
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MIN_DELTA_T_SEC = 30 # two temp mesure should be > 10 sec
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MIN_DELTA_T_SEC = 0 # two temp mesure should be > 0 sec
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MAX_SLOPE_VALUE = 2 # slope cannot be > 2 or < -2 -> else this is an aberrant point
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MAX_DURATION_MIN = 30 # a fake data point is added in the cycle if last measurement was older than 30 min
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MIN_NB_POINT = 4 # do not calculate slope until we have enough point
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class WindowOpenDetectionAlgorithm:
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"""The class that implements the algorithm listed above"""
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@@ -24,6 +29,7 @@ class WindowOpenDetectionAlgorithm:
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_last_slope: float
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_last_datetime: datetime
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_last_temperature: float
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_nb_point: int
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def __init__(self, alert_threshold, end_alert_threshold) -> None:
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"""Initalize a new algorithm with the both threshold"""
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@@ -31,6 +37,21 @@ class WindowOpenDetectionAlgorithm:
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self._end_alert_threshold = end_alert_threshold
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self._last_slope = None
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self._last_datetime = None
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self._nb_point = 0
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def check_age_last_measurement(self, temperature, datetime_now) -> float:
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""" " Check if last measurement is old and add
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a fake measurement point if this is the case
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"""
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if self._last_datetime is None:
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return self.add_temp_measurement(temperature, datetime_now)
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delta_t_sec = float((datetime_now - self._last_datetime).total_seconds()) / 60.0
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if delta_t_sec >= MAX_DURATION_MIN:
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return self.add_temp_measurement(temperature, datetime_now)
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else:
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# do nothing
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return self._last_slope
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def add_temp_measurement(
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self, temperature: float, datetime_measure: datetime
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@@ -42,6 +63,7 @@ class WindowOpenDetectionAlgorithm:
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_LOGGER.debug("First initialisation")
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self._last_datetime = datetime_measure
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self._last_temperature = temperature
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self._nb_point = self._nb_point + 1
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return None
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_LOGGER.debug(
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@@ -72,21 +94,24 @@ class WindowOpenDetectionAlgorithm:
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return lspe
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if self._last_slope is None:
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self._last_slope = new_slope
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self._last_slope = round(new_slope, 4)
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else:
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self._last_slope = (0.5 * self._last_slope) + (0.5 * new_slope)
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self._last_slope = round((0.2 * self._last_slope) + (0.8 * new_slope), 4)
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self._last_datetime = datetime_measure
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self._last_temperature = temperature
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self._nb_point = self._nb_point + 1
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_LOGGER.debug(
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"delta_t=%.3f delta_temp=%.3f new_slope=%.3f last_slope=%s slope=%.3f",
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"delta_t=%.3f delta_temp=%.3f new_slope=%.3f last_slope=%s slope=%.3f nb_point=%s",
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delta_t,
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delta_temp,
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new_slope,
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lspe,
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self._last_slope,
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self._nb_point,
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)
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return self._last_slope
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def is_window_open_detected(self) -> bool:
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@@ -94,22 +119,20 @@ class WindowOpenDetectionAlgorithm:
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if self._alert_threshold is None:
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return False
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return (
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self._last_slope < -self._alert_threshold
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if self._last_slope is not None
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else False
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)
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if self._nb_point < MIN_NB_POINT or self._last_slope is None:
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return False
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return self._last_slope < -self._alert_threshold
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def is_window_close_detected(self) -> bool:
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"""True if the last calculated slope is above (cause negative) the _end_alert_threshold"""
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if self._end_alert_threshold is None:
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return False
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return (
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self._last_slope >= self._end_alert_threshold
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if self._last_slope is not None
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else False
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)
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if self._nb_point < MIN_NB_POINT or self._last_slope is None:
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return False
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return self._last_slope >= self._end_alert_threshold
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@property
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def last_slope(self) -> float:
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@@ -49,7 +49,8 @@ class PITemperatureRegulator:
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self.target_temp = target_temp
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# Do not reset the accumulated error
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# Discussion #191. After a target change we should reset the accumulated error which is certainly wrong now.
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self.accumulated_error = 0
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if self.accumulated_error < 0:
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self.accumulated_error = 0
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def calculate_regulated_temperature(
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self, internal_temp: float, external_temp: float
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@@ -51,6 +51,7 @@ async def async_setup_entry(
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LastTemperatureSensor(hass, unique_id, name, entry.data),
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LastExtTemperatureSensor(hass, unique_id, name, entry.data),
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TemperatureSlopeSensor(hass, unique_id, name, entry.data),
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EMATemperatureSensor(hass, unique_id, name, entry.data),
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]
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if entry.data.get(CONF_DEVICE_POWER):
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entities.append(EnergySensor(hass, unique_id, name, entry.data))
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@@ -505,17 +506,15 @@ class RegulatedTemperatureSensor(VersatileThermostatBaseEntity, SensorEntity):
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"""Called when my climate have change"""
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_LOGGER.debug("%s - climate state change", self._attr_unique_id)
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if math.isnan(self.my_climate.regulated_target_temp) or math.isinf(
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self.my_climate.regulated_target_temp
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):
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raise ValueError(
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f"Sensor has illegal state {self.my_climate.regulated_target_temp}"
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)
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new_temp = self.my_climate.regulated_target_temp
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if new_temp is None:
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return
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if math.isnan(new_temp) or math.isinf(new_temp):
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raise ValueError(f"Sensor has illegal state {new_temp}")
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old_state = self._attr_native_value
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self._attr_native_value = round(
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self.my_climate.regulated_target_temp, self.suggested_display_precision
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)
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self._attr_native_value = round(new_temp, self.suggested_display_precision)
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if old_state != self._attr_native_value:
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self.async_write_ha_state()
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return
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@@ -542,3 +541,54 @@ class RegulatedTemperatureSensor(VersatileThermostatBaseEntity, SensorEntity):
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def suggested_display_precision(self) -> int | None:
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"""Return the suggested number of decimal digits for display."""
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return 1
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class EMATemperatureSensor(VersatileThermostatBaseEntity, SensorEntity):
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"""Representation of a Exponential Moving Average temp"""
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def __init__(self, hass: HomeAssistant, unique_id, name, entry_infos) -> None:
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"""Initialize the regulated temperature sensor"""
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super().__init__(hass, unique_id, entry_infos.get(CONF_NAME))
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self._attr_name = "EMA temperature"
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self._attr_unique_id = f"{self._device_name}_ema_temperature"
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@callback
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async def async_my_climate_changed(self, event: Event = None):
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"""Called when my climate have change"""
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_LOGGER.debug("%s - climate state change", self._attr_unique_id)
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new_ema = self.my_climate.ema_temperature
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if new_ema is None:
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return
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if math.isnan(new_ema) or math.isinf(new_ema):
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raise ValueError(f"Sensor has illegal state {new_ema}")
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old_state = self._attr_native_value
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self._attr_native_value = new_ema
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if old_state != self._attr_native_value:
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self.async_write_ha_state()
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return
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@property
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def icon(self) -> str | None:
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return "mdi:thermometer-lines"
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|
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@property
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def device_class(self) -> SensorDeviceClass | None:
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return SensorDeviceClass.TEMPERATURE
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@property
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def state_class(self) -> SensorStateClass | None:
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return SensorStateClass.MEASUREMENT
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@property
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def native_unit_of_measurement(self) -> str | None:
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if not self.my_climate:
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return UnitOfTemperature.CELSIUS
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return self.my_climate.temperature_unit
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@property
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def suggested_display_precision(self) -> int | None:
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"""Return the suggested number of decimal digits for display."""
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return 2
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@@ -363,12 +363,12 @@ async def test_over_climate_regulation_limitations(
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"custom_components.versatile_thermostat.commons.NowClass.get_now",
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return_value=event_timestamp,
|
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):
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await send_temperature_change_event(entity, 16, event_timestamp)
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await send_temperature_change_event(entity, 15, event_timestamp)
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await send_ext_temperature_change_event(entity, 12, event_timestamp)
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# the regulated should have been done
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assert entity.regulated_target_temp != old_regulated_temp
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assert entity.regulated_target_temp >= entity.target_temperature
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assert (
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entity.regulated_target_temp == 17 + 0.5
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entity.regulated_target_temp == 17 + 1.5
|
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) # 0.7 without round_to_nearest
|
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|
||||
54
tests/test_ema.py
Normal file
54
tests/test_ema.py
Normal file
@@ -0,0 +1,54 @@
|
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# pylint: disable=line-too-long
|
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""" Tests de EMA calculation"""
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
from homeassistant.core import HomeAssistant
|
||||
|
||||
from custom_components.versatile_thermostat.ema import ExponentialMovingAverage
|
||||
|
||||
from .commons import get_tz
|
||||
|
||||
|
||||
def test_ema_basics(hass: HomeAssistant):
|
||||
"""Test the EMA calculation with basic features"""
|
||||
|
||||
tz = get_tz(hass) # pylint: disable=invalid-name
|
||||
now: datetime = datetime.now(tz=tz)
|
||||
|
||||
the_ema = ExponentialMovingAverage(
|
||||
"test",
|
||||
# 5 minutes
|
||||
300,
|
||||
# Needed for time calculation
|
||||
get_tz(hass),
|
||||
1,
|
||||
)
|
||||
|
||||
assert the_ema
|
||||
|
||||
current_timestamp = now
|
||||
# First initialization
|
||||
assert the_ema.calculate_ema(20, current_timestamp) == 20
|
||||
|
||||
current_timestamp = current_timestamp + timedelta(minutes=1)
|
||||
# One minute later, same temperature. EMA temperature should not have change
|
||||
assert the_ema.calculate_ema(20, current_timestamp) == 20
|
||||
|
||||
# Too short measurement should be ignored
|
||||
assert the_ema.calculate_ema(2000, current_timestamp) == 20
|
||||
|
||||
current_timestamp = current_timestamp + timedelta(seconds=4)
|
||||
assert the_ema.calculate_ema(20, current_timestamp) == 20
|
||||
|
||||
# a new normal measurement 5 minutes later
|
||||
current_timestamp = current_timestamp + timedelta(minutes=5)
|
||||
ema = the_ema.calculate_ema(25, current_timestamp)
|
||||
assert ema > 20
|
||||
assert ema == 22.5
|
||||
|
||||
# a big change in a short time does have a limited effect
|
||||
current_timestamp = current_timestamp + timedelta(seconds=5)
|
||||
ema = the_ema.calculate_ema(30, current_timestamp)
|
||||
assert ema > 22.5
|
||||
assert ema < 23
|
||||
assert ema == 22.6
|
||||
@@ -386,6 +386,7 @@ async def test_multiple_climates(
|
||||
CONF_THERMOSTAT_TYPE: CONF_THERMOSTAT_CLIMATE,
|
||||
CONF_TEMP_SENSOR: "sensor.mock_temp_sensor",
|
||||
CONF_EXTERNAL_TEMP_SENSOR: "sensor.mock_ext_temp_sensor",
|
||||
CONF_CYCLE_MIN: 8,
|
||||
CONF_TEMP_MIN: 15,
|
||||
CONF_TEMP_MAX: 30,
|
||||
"eco_temp": 17,
|
||||
@@ -486,6 +487,7 @@ async def test_multiple_climates_underlying_changes(
|
||||
CONF_THERMOSTAT_TYPE: CONF_THERMOSTAT_CLIMATE,
|
||||
CONF_TEMP_SENSOR: "sensor.mock_temp_sensor",
|
||||
CONF_EXTERNAL_TEMP_SENSOR: "sensor.mock_ext_temp_sensor",
|
||||
CONF_CYCLE_MIN: 8,
|
||||
CONF_TEMP_MIN: 15,
|
||||
CONF_TEMP_MAX: 30,
|
||||
"eco_temp": 17,
|
||||
|
||||
@@ -2,7 +2,9 @@
|
||||
""" Test the OpenWindow algorithm """
|
||||
|
||||
from datetime import datetime, timedelta
|
||||
from custom_components.versatile_thermostat.open_window_algorithm import WindowOpenDetectionAlgorithm
|
||||
from custom_components.versatile_thermostat.open_window_algorithm import (
|
||||
WindowOpenDetectionAlgorithm,
|
||||
)
|
||||
|
||||
from .commons import * # pylint: disable=wildcard-import, unused-wildcard-import
|
||||
|
||||
@@ -19,18 +21,28 @@ async def test_open_window_algo(
|
||||
tz = get_tz(hass) # pylint: disable=invalid-name
|
||||
now = datetime.now(tz)
|
||||
|
||||
event_timestamp = now - timedelta(minutes=5)
|
||||
event_timestamp = now - timedelta(minutes=10)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=10, datetime_measure=event_timestamp
|
||||
)
|
||||
|
||||
# We need at least 2 measurement
|
||||
# We need at least 4 measurement
|
||||
assert last_slope is None
|
||||
assert the_algo.last_slope is None
|
||||
assert the_algo.is_window_close_detected() is False
|
||||
assert the_algo.is_window_open_detected() is False
|
||||
|
||||
event_timestamp = now - timedelta(minutes=4)
|
||||
event_timestamp = now - timedelta(minutes=9)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=10, datetime_measure=event_timestamp
|
||||
)
|
||||
|
||||
event_timestamp = now - timedelta(minutes=8)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=10, datetime_measure=event_timestamp
|
||||
)
|
||||
|
||||
event_timestamp = now - timedelta(minutes=7)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=10, datetime_measure=event_timestamp
|
||||
)
|
||||
@@ -41,19 +53,19 @@ async def test_open_window_algo(
|
||||
assert the_algo.is_window_close_detected() is True
|
||||
assert the_algo.is_window_open_detected() is False
|
||||
|
||||
event_timestamp = now - timedelta(minutes=3)
|
||||
event_timestamp = now - timedelta(minutes=6)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=9, datetime_measure=event_timestamp
|
||||
)
|
||||
|
||||
# A slope is calculated
|
||||
assert last_slope == -0.5
|
||||
assert the_algo.last_slope == -0.5
|
||||
assert last_slope == -0.8
|
||||
assert the_algo.last_slope == -0.8
|
||||
assert the_algo.is_window_close_detected() is False
|
||||
assert the_algo.is_window_open_detected() is False
|
||||
|
||||
# A new temperature with 2 degre less in one minute (value will be rejected)
|
||||
event_timestamp = now - timedelta(minutes=2)
|
||||
event_timestamp = now - timedelta(minutes=5)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=7, datetime_measure=event_timestamp
|
||||
)
|
||||
@@ -65,7 +77,7 @@ async def test_open_window_algo(
|
||||
assert the_algo.is_window_open_detected() is True
|
||||
|
||||
# A new temperature with 1 degre less
|
||||
event_timestamp = now - timedelta(minutes=1)
|
||||
event_timestamp = now - timedelta(minutes=4)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=6, datetime_measure=event_timestamp
|
||||
)
|
||||
@@ -77,7 +89,7 @@ async def test_open_window_algo(
|
||||
assert the_algo.is_window_open_detected() is True
|
||||
|
||||
# A new temperature with 0 degre less
|
||||
event_timestamp = now - timedelta(minutes=0)
|
||||
event_timestamp = now - timedelta(minutes=3)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=6, datetime_measure=event_timestamp
|
||||
)
|
||||
@@ -89,7 +101,7 @@ async def test_open_window_algo(
|
||||
assert the_algo.is_window_open_detected() is False
|
||||
|
||||
# A new temperature with 1 degre more
|
||||
event_timestamp = now + timedelta(minutes=1)
|
||||
event_timestamp = now + timedelta(minutes=2)
|
||||
last_slope = the_algo.add_temp_measurement(
|
||||
temperature=7, datetime_measure=event_timestamp
|
||||
)
|
||||
|
||||
@@ -477,6 +477,14 @@ async def test_window_auto_auto_stop(hass: HomeAssistant, skip_hass_states_is_st
|
||||
|
||||
assert entity.window_state is STATE_OFF
|
||||
|
||||
# Initialize the slope algo with 2 measurements
|
||||
# event_timestamp = now - timedelta(minutes=9)
|
||||
# await send_temperature_change_event(entity, 19, event_timestamp)
|
||||
# event_timestamp = now - timedelta(minutes=8)
|
||||
# await send_temperature_change_event(entity, 19, event_timestamp)
|
||||
# event_timestamp = now - timedelta(minutes=7)
|
||||
# await send_temperature_change_event(entity, 19, event_timestamp)
|
||||
|
||||
# Make the temperature down
|
||||
with patch(
|
||||
"custom_components.versatile_thermostat.base_thermostat.BaseThermostat.send_event"
|
||||
@@ -486,6 +494,7 @@ async def test_window_auto_auto_stop(hass: HomeAssistant, skip_hass_states_is_st
|
||||
"custom_components.versatile_thermostat.underlyings.UnderlyingClimate.is_device_active",
|
||||
return_value=True,
|
||||
):
|
||||
# This is the 3rd measurment. Slope is not ready
|
||||
event_timestamp = now - timedelta(minutes=4)
|
||||
await send_temperature_change_event(entity, 19, event_timestamp)
|
||||
|
||||
@@ -531,7 +540,7 @@ async def test_window_auto_auto_stop(hass: HomeAssistant, skip_hass_states_is_st
|
||||
assert entity.window_auto_state == STATE_ON
|
||||
assert entity.hvac_mode is HVACMode.OFF
|
||||
|
||||
# Waits for automatic disable
|
||||
# Waits for automatic disable
|
||||
with patch(
|
||||
"custom_components.versatile_thermostat.base_thermostat.BaseThermostat.send_event"
|
||||
) as mock_send_event, patch(
|
||||
|
||||
Reference in New Issue
Block a user