mirror of
https://github.com/home-assistant/core
synced 2024-09-03 08:14:07 +02:00
289 lines
9.6 KiB
Python
289 lines
9.6 KiB
Python
"""Numeric integration of data coming from a source sensor over time."""
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from __future__ import annotations
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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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PLATFORM_SCHEMA,
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SensorDeviceClass,
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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_DEVICE_CLASS,
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ATTR_UNIT_OF_MEASUREMENT,
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CONF_METHOD,
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CONF_NAME,
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CONF_UNIQUE_ID,
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STATE_UNAVAILABLE,
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STATE_UNKNOWN,
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TIME_DAYS,
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TIME_HOURS,
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TIME_MINUTES,
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TIME_SECONDS,
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)
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from homeassistant.core import 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.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.restore_state import RestoreEntity
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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_SOURCE_SENSOR,
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CONF_UNIT_OF_MEASUREMENT,
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CONF_UNIT_PREFIX,
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CONF_UNIT_TIME,
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INTEGRATION_METHODS,
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METHOD_LEFT,
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METHOD_RIGHT,
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METHOD_TRAPEZOIDAL,
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)
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# mypy: allow-untyped-defs, no-check-untyped-defs
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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 = {None: 1, "k": 10**3, "M": 10**6, "G": 10**9, "T": 10**12}
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# SI Time prefixes
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UNIT_TIME = {
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TIME_SECONDS: 1,
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TIME_MINUTES: 60,
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TIME_HOURS: 60 * 60,
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TIME_DAYS: 24 * 60 * 60,
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}
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DEFAULT_ROUND = 3
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PLATFORM_SCHEMA = vol.All(
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cv.removed(CONF_UNIT_OF_MEASUREMENT),
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PLATFORM_SCHEMA.extend(
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{
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vol.Optional(CONF_NAME): cv.string,
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vol.Optional(CONF_UNIQUE_ID): cv.string,
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vol.Required(CONF_SOURCE_SENSOR): 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=TIME_HOURS): vol.In(UNIT_TIME),
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vol.Remove(CONF_UNIT_OF_MEASUREMENT): cv.string,
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vol.Optional(CONF_METHOD, default=METHOD_TRAPEZOIDAL): vol.In(
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INTEGRATION_METHODS
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),
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}
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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 Integration - Riemann sum integral 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_SENSOR]
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)
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unit_prefix = config_entry.options[CONF_UNIT_PREFIX]
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if unit_prefix == "none":
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unit_prefix = None
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integral = IntegrationSensor(
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integration_method=config_entry.options[CONF_METHOD],
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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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unique_id=config_entry.entry_id,
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unit_prefix=unit_prefix,
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unit_time=config_entry.options[CONF_UNIT_TIME],
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)
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async_add_entities([integral])
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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 integration sensor."""
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integral = IntegrationSensor(
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integration_method=config[CONF_METHOD],
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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_SENSOR],
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unique_id=config.get(CONF_UNIQUE_ID),
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unit_prefix=config[CONF_UNIT_PREFIX],
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unit_time=config[CONF_UNIT_TIME],
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)
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async_add_entities([integral])
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class IntegrationSensor(RestoreEntity, SensorEntity):
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"""Representation of an integration sensor."""
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def __init__(
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self,
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*,
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integration_method: str,
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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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unique_id: str | None,
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unit_prefix: str | None,
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unit_time: str,
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) -> None:
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"""Initialize the integration sensor."""
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self._attr_unique_id = unique_id
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self._sensor_source_id = source_entity
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self._round_digits = round_digits
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self._state = None
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self._method = integration_method
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self._attr_name = name if name is not None else f"{source_entity} integral"
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self._unit_template = f"{'' if unit_prefix is None else unit_prefix}{{}}"
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self._unit_of_measurement = None
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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._unit_time_str = unit_time
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self._attr_state_class = SensorStateClass.TOTAL
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self._attr_icon = "mdi:chart-histogram"
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self._attr_should_poll = False
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self._attr_extra_state_attributes = {ATTR_SOURCE_ID: source_entity}
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def _unit(self, source_unit: str) -> str:
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"""Derive unit from the source sensor, SI prefix and time unit."""
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unit_time = self._unit_time_str
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if source_unit.endswith(f"/{unit_time}"):
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integral_unit = source_unit[0 : (-(1 + len(unit_time)))]
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else:
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integral_unit = f"{source_unit}{unit_time}"
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return self._unit_template.format(integral_unit)
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async def async_added_to_hass(self):
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"""Handle entity which will be added."""
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await super().async_added_to_hass()
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if state := await self.async_get_last_state():
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try:
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self._state = Decimal(state.state)
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except (DecimalException, ValueError) as err:
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_LOGGER.warning(
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"%s could not restore last state %s: %s",
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self.entity_id,
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state.state,
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err,
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)
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else:
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self._attr_device_class = state.attributes.get(ATTR_DEVICE_CLASS)
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if self._unit_of_measurement is None:
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self._unit_of_measurement = state.attributes.get(
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ATTR_UNIT_OF_MEASUREMENT
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)
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@callback
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def calc_integration(event):
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"""Handle the sensor state changes."""
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old_state = event.data.get("old_state")
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new_state = event.data.get("new_state")
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if new_state is None or new_state.state in (
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STATE_UNKNOWN,
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STATE_UNAVAILABLE,
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):
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return
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# We may want to update our state before an early return,
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# based on the source sensor's unit_of_measurement
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# or device_class.
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update_state = False
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unit = new_state.attributes.get(ATTR_UNIT_OF_MEASUREMENT)
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if unit is not None:
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new_unit_of_measurement = self._unit(unit)
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if self._unit_of_measurement != new_unit_of_measurement:
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self._unit_of_measurement = new_unit_of_measurement
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update_state = True
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if (
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self.device_class is None
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and new_state.attributes.get(ATTR_DEVICE_CLASS)
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== SensorDeviceClass.POWER
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):
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self._attr_device_class = SensorDeviceClass.ENERGY
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update_state = True
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if update_state:
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self.async_write_ha_state()
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if old_state is None or old_state.state in (
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STATE_UNKNOWN,
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STATE_UNAVAILABLE,
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):
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return
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try:
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# integration as the Riemann integral of previous measures.
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area = 0
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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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if self._method == METHOD_TRAPEZOIDAL:
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area = (
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(Decimal(new_state.state) + Decimal(old_state.state))
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* Decimal(elapsed_time)
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/ 2
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)
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elif self._method == METHOD_LEFT:
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area = Decimal(old_state.state) * Decimal(elapsed_time)
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elif self._method == METHOD_RIGHT:
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area = Decimal(new_state.state) * Decimal(elapsed_time)
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integral = area / (self._unit_prefix * self._unit_time)
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assert isinstance(integral, Decimal)
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except ValueError as err:
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_LOGGER.warning("While calculating integration: %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 integral: %s", err)
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else:
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if isinstance(self._state, Decimal):
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self._state += integral
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else:
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self._state = integral
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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_integration
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)
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)
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@property
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def native_value(self):
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"""Return the state of the sensor."""
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if isinstance(self._state, Decimal):
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return round(self._state, self._round_digits)
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return self._state
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@property
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def native_unit_of_measurement(self):
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"""Return the unit the value is expressed in."""
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return self._unit_of_measurement
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