mirror of https://github.com/home-assistant/core
287 lines
10 KiB
Python
287 lines
10 KiB
Python
"""Numeric derivative of data coming from a source sensor over time."""
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from __future__ import annotations
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from datetime import datetime, timedelta
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from decimal import Decimal, DecimalException
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import logging
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import voluptuous as vol
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from homeassistant.components.sensor import (
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ATTR_STATE_CLASS,
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PLATFORM_SCHEMA as SENSOR_PLATFORM_SCHEMA,
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RestoreSensor,
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SensorEntity,
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SensorStateClass,
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)
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from homeassistant.config_entries import ConfigEntry
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from homeassistant.const import (
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ATTR_UNIT_OF_MEASUREMENT,
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CONF_NAME,
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CONF_SOURCE,
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STATE_UNAVAILABLE,
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STATE_UNKNOWN,
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UnitOfTime,
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)
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from homeassistant.core import Event, EventStateChangedData, HomeAssistant, callback
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from homeassistant.helpers import config_validation as cv, entity_registry as er
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from homeassistant.helpers.device import async_device_info_to_link_from_entity
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from homeassistant.helpers.device_registry import DeviceInfo
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from homeassistant.helpers.entity_platform import AddEntitiesCallback
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from homeassistant.helpers.event import async_track_state_change_event
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from homeassistant.helpers.typing import ConfigType, DiscoveryInfoType
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from .const import (
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CONF_ROUND_DIGITS,
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CONF_TIME_WINDOW,
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CONF_UNIT,
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CONF_UNIT_PREFIX,
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CONF_UNIT_TIME,
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)
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_LOGGER = logging.getLogger(__name__)
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ATTR_SOURCE_ID = "source"
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# SI Metric prefixes
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UNIT_PREFIXES = {
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None: 1,
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"n": 1e-9,
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"µ": 1e-6,
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"m": 1e-3,
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"k": 1e3,
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"M": 1e6,
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"G": 1e9,
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"T": 1e12,
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}
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# SI Time prefixes
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UNIT_TIME = {
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UnitOfTime.SECONDS: 1,
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UnitOfTime.MINUTES: 60,
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UnitOfTime.HOURS: 60 * 60,
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UnitOfTime.DAYS: 24 * 60 * 60,
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}
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DEFAULT_ROUND = 3
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DEFAULT_TIME_WINDOW = 0
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PLATFORM_SCHEMA = SENSOR_PLATFORM_SCHEMA.extend(
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{
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vol.Optional(CONF_NAME): cv.string,
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vol.Required(CONF_SOURCE): cv.entity_id,
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vol.Optional(CONF_ROUND_DIGITS, default=DEFAULT_ROUND): vol.Coerce(int),
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vol.Optional(CONF_UNIT_PREFIX, default=None): vol.In(UNIT_PREFIXES),
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vol.Optional(CONF_UNIT_TIME, default=UnitOfTime.HOURS): vol.In(UNIT_TIME),
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vol.Optional(CONF_UNIT): cv.string,
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vol.Optional(CONF_TIME_WINDOW, default=DEFAULT_TIME_WINDOW): cv.time_period,
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}
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)
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async def async_setup_entry(
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hass: HomeAssistant,
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config_entry: ConfigEntry,
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async_add_entities: AddEntitiesCallback,
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) -> None:
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"""Initialize Derivative config entry."""
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registry = er.async_get(hass)
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# Validate + resolve entity registry id to entity_id
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source_entity_id = er.async_validate_entity_id(
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registry, config_entry.options[CONF_SOURCE]
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)
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device_info = async_device_info_to_link_from_entity(
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hass,
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source_entity_id,
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)
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if (unit_prefix := config_entry.options.get(CONF_UNIT_PREFIX)) == "none":
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# Before we had support for optional selectors, "none" was used for selecting nothing
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unit_prefix = None
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derivative_sensor = DerivativeSensor(
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name=config_entry.title,
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round_digits=int(config_entry.options[CONF_ROUND_DIGITS]),
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source_entity=source_entity_id,
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time_window=cv.time_period_dict(config_entry.options[CONF_TIME_WINDOW]),
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unique_id=config_entry.entry_id,
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unit_of_measurement=None,
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unit_prefix=unit_prefix,
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unit_time=config_entry.options[CONF_UNIT_TIME],
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device_info=device_info,
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)
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async_add_entities([derivative_sensor])
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async def async_setup_platform(
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hass: HomeAssistant,
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config: ConfigType,
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async_add_entities: AddEntitiesCallback,
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discovery_info: DiscoveryInfoType | None = None,
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) -> None:
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"""Set up the derivative sensor."""
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derivative = DerivativeSensor(
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name=config.get(CONF_NAME),
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round_digits=config[CONF_ROUND_DIGITS],
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source_entity=config[CONF_SOURCE],
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time_window=config[CONF_TIME_WINDOW],
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unit_of_measurement=config.get(CONF_UNIT),
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unit_prefix=config[CONF_UNIT_PREFIX],
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unit_time=config[CONF_UNIT_TIME],
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unique_id=None,
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)
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async_add_entities([derivative])
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class DerivativeSensor(RestoreSensor, SensorEntity):
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"""Representation of a derivative sensor."""
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_attr_translation_key = "derivative"
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_attr_should_poll = False
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def __init__(
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self,
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*,
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name: str | None,
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round_digits: int,
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source_entity: str,
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time_window: timedelta,
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unit_of_measurement: str | None,
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unit_prefix: str | None,
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unit_time: UnitOfTime,
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unique_id: str | None,
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device_info: DeviceInfo | None = None,
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) -> None:
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"""Initialize the derivative sensor."""
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self._attr_unique_id = unique_id
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self._attr_device_info = device_info
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self._sensor_source_id = source_entity
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self._round_digits = round_digits
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self._attr_native_value = round(Decimal(0), round_digits)
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# List of tuples with (timestamp_start, timestamp_end, derivative)
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self._state_list: list[tuple[datetime, datetime, Decimal]] = []
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self._attr_name = name if name is not None else f"{source_entity} derivative"
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self._attr_extra_state_attributes = {ATTR_SOURCE_ID: source_entity}
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if unit_of_measurement is None:
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final_unit_prefix = "" if unit_prefix is None else unit_prefix
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self._unit_template = f"{final_unit_prefix}{{}}/{unit_time}"
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# we postpone the definition of unit_of_measurement to later
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self._attr_native_unit_of_measurement = None
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else:
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self._attr_native_unit_of_measurement = unit_of_measurement
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self._unit_prefix = UNIT_PREFIXES[unit_prefix]
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self._unit_time = UNIT_TIME[unit_time]
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self._time_window = time_window.total_seconds()
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async def async_added_to_hass(self) -> None:
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"""Handle entity which will be added."""
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await super().async_added_to_hass()
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restored_data = await self.async_get_last_sensor_data()
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if restored_data:
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self._attr_native_unit_of_measurement = (
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restored_data.native_unit_of_measurement
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)
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try:
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self._attr_native_value = round(
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Decimal(restored_data.native_value), # type: ignore[arg-type]
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self._round_digits,
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)
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except SyntaxError as err:
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_LOGGER.warning("Could not restore last state: %s", err)
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@callback
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def calc_derivative(event: Event[EventStateChangedData]) -> None:
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"""Handle the sensor state changes."""
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if (
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(old_state := event.data["old_state"]) is None
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or old_state.state in (STATE_UNKNOWN, STATE_UNAVAILABLE)
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or (new_state := event.data["new_state"]) is None
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or new_state.state in (STATE_UNKNOWN, STATE_UNAVAILABLE)
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):
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return
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if self.native_unit_of_measurement is None:
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unit = new_state.attributes.get(ATTR_UNIT_OF_MEASUREMENT)
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self._attr_native_unit_of_measurement = self._unit_template.format(
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"" if unit is None else unit
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)
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# filter out all derivatives older than `time_window` from our window list
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self._state_list = [
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(time_start, time_end, state)
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for time_start, time_end, state in self._state_list
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if (new_state.last_updated - time_end).total_seconds()
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< self._time_window
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]
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try:
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elapsed_time = (
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new_state.last_updated - old_state.last_updated
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).total_seconds()
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delta_value = Decimal(new_state.state) - Decimal(old_state.state)
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new_derivative = (
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delta_value
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/ Decimal(elapsed_time)
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/ Decimal(self._unit_prefix)
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* Decimal(self._unit_time)
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)
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except ValueError as err:
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_LOGGER.warning("While calculating derivative: %s", err)
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except DecimalException as err:
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_LOGGER.warning(
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"Invalid state (%s > %s): %s", old_state.state, new_state.state, err
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)
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except AssertionError as err:
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_LOGGER.error("Could not calculate derivative: %s", err)
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# For total inreasing sensors, the value is expected to continuously increase.
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# A negative derivative for a total increasing sensor likely indicates the
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# sensor has been reset. To prevent inaccurate data, discard this sample.
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if (
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new_state.attributes.get(ATTR_STATE_CLASS)
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== SensorStateClass.TOTAL_INCREASING
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and new_derivative < 0
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):
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return
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# add latest derivative to the window list
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self._state_list.append(
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(old_state.last_updated, new_state.last_updated, new_derivative)
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)
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def calculate_weight(
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start: datetime, end: datetime, now: datetime
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) -> float:
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window_start = now - timedelta(seconds=self._time_window)
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if start < window_start:
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weight = (end - window_start).total_seconds() / self._time_window
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else:
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weight = (end - start).total_seconds() / self._time_window
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return weight
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# If outside of time window just report derivative (is the same as modeling it in the window),
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# otherwise take the weighted average with the previous derivatives
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if elapsed_time > self._time_window:
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derivative = new_derivative
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else:
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derivative = Decimal(0.00)
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for start, end, value in self._state_list:
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weight = calculate_weight(start, end, new_state.last_updated)
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derivative = derivative + (value * Decimal(weight))
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self._attr_native_value = round(derivative, self._round_digits)
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self.async_write_ha_state()
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self.async_on_remove(
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async_track_state_change_event(
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self.hass, self._sensor_source_id, calc_derivative
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)
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)
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