mirror of
https://github.com/home-assistant/core
synced 2024-09-03 08:14:07 +02:00
643 lines
23 KiB
Python
643 lines
23 KiB
Python
"""Support for Tibber sensors."""
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from __future__ import annotations
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import asyncio
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from datetime import timedelta
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import logging
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from random import randrange
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import aiohttp
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from homeassistant.components.recorder import get_instance
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from homeassistant.components.recorder.models import StatisticData, StatisticMetaData
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from homeassistant.components.recorder.statistics import (
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async_add_external_statistics,
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get_last_statistics,
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statistics_during_period,
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)
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from homeassistant.components.sensor import (
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SensorDeviceClass,
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SensorEntity,
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SensorEntityDescription,
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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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ELECTRIC_CURRENT_AMPERE,
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ELECTRIC_POTENTIAL_VOLT,
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ENERGY_KILO_WATT_HOUR,
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EVENT_HOMEASSISTANT_STOP,
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PERCENTAGE,
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POWER_WATT,
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SIGNAL_STRENGTH_DECIBELS,
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)
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from homeassistant.core import HomeAssistant, callback
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from homeassistant.exceptions import PlatformNotReady
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from homeassistant.helpers.device_registry import async_get as async_get_dev_reg
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from homeassistant.helpers.entity import DeviceInfo, EntityCategory
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from homeassistant.helpers.entity_platform import AddEntitiesCallback
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from homeassistant.helpers.entity_registry import async_get as async_get_entity_reg
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from homeassistant.helpers.update_coordinator import (
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CoordinatorEntity,
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DataUpdateCoordinator,
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)
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from homeassistant.util import Throttle, dt as dt_util
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from .const import DOMAIN as TIBBER_DOMAIN, MANUFACTURER
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_LOGGER = logging.getLogger(__name__)
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ICON = "mdi:currency-usd"
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SCAN_INTERVAL = timedelta(minutes=1)
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MIN_TIME_BETWEEN_UPDATES = timedelta(minutes=5)
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PARALLEL_UPDATES = 0
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RT_SENSORS: tuple[SensorEntityDescription, ...] = (
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SensorEntityDescription(
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key="averagePower",
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name="average power",
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device_class=SensorDeviceClass.POWER,
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native_unit_of_measurement=POWER_WATT,
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),
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SensorEntityDescription(
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key="power",
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name="power",
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device_class=SensorDeviceClass.POWER,
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state_class=SensorStateClass.MEASUREMENT,
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native_unit_of_measurement=POWER_WATT,
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),
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SensorEntityDescription(
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key="powerProduction",
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name="power production",
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device_class=SensorDeviceClass.POWER,
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state_class=SensorStateClass.MEASUREMENT,
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native_unit_of_measurement=POWER_WATT,
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),
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SensorEntityDescription(
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key="minPower",
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name="min power",
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device_class=SensorDeviceClass.POWER,
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native_unit_of_measurement=POWER_WATT,
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),
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SensorEntityDescription(
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key="maxPower",
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name="max power",
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device_class=SensorDeviceClass.POWER,
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native_unit_of_measurement=POWER_WATT,
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),
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SensorEntityDescription(
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key="accumulatedConsumption",
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name="accumulated consumption",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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state_class=SensorStateClass.TOTAL,
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),
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SensorEntityDescription(
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key="accumulatedConsumptionLastHour",
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name="accumulated consumption current hour",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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state_class=SensorStateClass.TOTAL_INCREASING,
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),
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SensorEntityDescription(
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key="estimatedHourConsumption",
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name="Estimated consumption current hour",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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),
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SensorEntityDescription(
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key="accumulatedProduction",
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name="accumulated production",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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state_class=SensorStateClass.TOTAL,
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),
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SensorEntityDescription(
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key="accumulatedProductionLastHour",
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name="accumulated production current hour",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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state_class=SensorStateClass.TOTAL_INCREASING,
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),
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SensorEntityDescription(
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key="lastMeterConsumption",
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name="last meter consumption",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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state_class=SensorStateClass.TOTAL_INCREASING,
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),
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SensorEntityDescription(
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key="lastMeterProduction",
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name="last meter production",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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state_class=SensorStateClass.TOTAL_INCREASING,
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),
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SensorEntityDescription(
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key="voltagePhase1",
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name="voltage phase1",
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device_class=SensorDeviceClass.VOLTAGE,
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native_unit_of_measurement=ELECTRIC_POTENTIAL_VOLT,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="voltagePhase2",
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name="voltage phase2",
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device_class=SensorDeviceClass.VOLTAGE,
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native_unit_of_measurement=ELECTRIC_POTENTIAL_VOLT,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="voltagePhase3",
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name="voltage phase3",
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device_class=SensorDeviceClass.VOLTAGE,
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native_unit_of_measurement=ELECTRIC_POTENTIAL_VOLT,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="currentL1",
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name="current L1",
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device_class=SensorDeviceClass.CURRENT,
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native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="currentL2",
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name="current L2",
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device_class=SensorDeviceClass.CURRENT,
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native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="currentL3",
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name="current L3",
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device_class=SensorDeviceClass.CURRENT,
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native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="signalStrength",
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name="signal strength",
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device_class=SensorDeviceClass.SIGNAL_STRENGTH,
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native_unit_of_measurement=SIGNAL_STRENGTH_DECIBELS,
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state_class=SensorStateClass.MEASUREMENT,
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entity_category=EntityCategory.DIAGNOSTIC,
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),
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SensorEntityDescription(
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key="accumulatedReward",
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name="accumulated reward",
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device_class=SensorDeviceClass.MONETARY,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="accumulatedCost",
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name="accumulated cost",
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device_class=SensorDeviceClass.MONETARY,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="powerFactor",
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name="power factor",
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device_class=SensorDeviceClass.POWER_FACTOR,
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native_unit_of_measurement=PERCENTAGE,
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state_class=SensorStateClass.MEASUREMENT,
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),
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)
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SENSORS: tuple[SensorEntityDescription, ...] = (
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SensorEntityDescription(
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key="month_cost",
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name="Monthly cost",
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device_class=SensorDeviceClass.MONETARY,
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state_class=SensorStateClass.MEASUREMENT,
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),
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SensorEntityDescription(
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key="peak_hour",
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name="Monthly peak hour consumption",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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),
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SensorEntityDescription(
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key="peak_hour_time",
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name="Time of max hour consumption",
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device_class=SensorDeviceClass.TIMESTAMP,
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),
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SensorEntityDescription(
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key="month_cons",
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name="Monthly net consumption",
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device_class=SensorDeviceClass.ENERGY,
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native_unit_of_measurement=ENERGY_KILO_WATT_HOUR,
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state_class=SensorStateClass.TOTAL_INCREASING,
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),
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)
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async def async_setup_entry(
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hass: HomeAssistant, entry: ConfigEntry, async_add_entities: AddEntitiesCallback
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) -> None:
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"""Set up the Tibber sensor."""
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tibber_connection = hass.data[TIBBER_DOMAIN]
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entity_registry = async_get_entity_reg(hass)
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device_registry = async_get_dev_reg(hass)
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coordinator: TibberDataCoordinator | None = None
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entities: list[TibberSensor] = []
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for home in tibber_connection.get_homes(only_active=False):
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try:
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await home.update_info()
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except asyncio.TimeoutError as err:
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_LOGGER.error("Timeout connecting to Tibber home: %s ", err)
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raise PlatformNotReady() from err
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except aiohttp.ClientError as err:
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_LOGGER.error("Error connecting to Tibber home: %s ", err)
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raise PlatformNotReady() from err
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if home.has_active_subscription:
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entities.append(TibberSensorElPrice(home))
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if coordinator is None:
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coordinator = TibberDataCoordinator(hass, tibber_connection)
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for entity_description in SENSORS:
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entities.append(TibberDataSensor(home, coordinator, entity_description))
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if home.has_real_time_consumption:
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await home.rt_subscribe(
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TibberRtDataCoordinator(
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async_add_entities, home, hass
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).async_set_updated_data
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)
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# migrate
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old_id = home.info["viewer"]["home"]["meteringPointData"]["consumptionEan"]
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if old_id is None:
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continue
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# migrate to new device ids
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old_entity_id = entity_registry.async_get_entity_id(
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"sensor", TIBBER_DOMAIN, old_id
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)
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if old_entity_id is not None:
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entity_registry.async_update_entity(
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old_entity_id, new_unique_id=home.home_id
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)
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# migrate to new device ids
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device_entry = device_registry.async_get_device({(TIBBER_DOMAIN, old_id)})
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if device_entry and entry.entry_id in device_entry.config_entries:
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device_registry.async_update_device(
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device_entry.id, new_identifiers={(TIBBER_DOMAIN, home.home_id)}
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)
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async_add_entities(entities, True)
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class TibberSensor(SensorEntity):
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"""Representation of a generic Tibber sensor."""
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def __init__(self, *args, tibber_home, **kwargs):
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"""Initialize the sensor."""
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super().__init__(*args, **kwargs)
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self._tibber_home = tibber_home
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self._home_name = tibber_home.info["viewer"]["home"]["appNickname"]
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if self._home_name is None:
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self._home_name = tibber_home.info["viewer"]["home"]["address"].get(
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"address1", ""
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)
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self._device_name = None
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self._model = None
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@property
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def device_info(self):
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"""Return the device_info of the device."""
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device_info = DeviceInfo(
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identifiers={(TIBBER_DOMAIN, self._tibber_home.home_id)},
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name=self._device_name,
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manufacturer=MANUFACTURER,
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)
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if self._model is not None:
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device_info["model"] = self._model
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return device_info
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class TibberSensorElPrice(TibberSensor):
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"""Representation of a Tibber sensor for el price."""
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def __init__(self, tibber_home):
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"""Initialize the sensor."""
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super().__init__(tibber_home=tibber_home)
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self._last_updated = None
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self._spread_load_constant = randrange(5000)
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self._attr_available = False
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self._attr_extra_state_attributes = {
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"app_nickname": None,
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"grid_company": None,
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"estimated_annual_consumption": None,
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"price_level": None,
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"max_price": None,
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"avg_price": None,
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"min_price": None,
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"off_peak_1": None,
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"peak": None,
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"off_peak_2": None,
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}
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self._attr_icon = ICON
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self._attr_name = f"Electricity price {self._home_name}"
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self._attr_unique_id = self._tibber_home.home_id
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self._model = "Price Sensor"
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self._device_name = self._home_name
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async def async_update(self):
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"""Get the latest data and updates the states."""
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now = dt_util.now()
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if (
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not self._tibber_home.last_data_timestamp
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or (self._tibber_home.last_data_timestamp - now).total_seconds()
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< 5 * 3600 + self._spread_load_constant
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or not self.available
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):
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_LOGGER.debug("Asking for new data")
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await self._fetch_data()
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elif (
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self._tibber_home.current_price_total
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and self._last_updated
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and self._last_updated.hour == now.hour
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and self._tibber_home.last_data_timestamp
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):
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return
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res = self._tibber_home.current_price_data()
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self._attr_native_value, price_level, self._last_updated = res
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self._attr_extra_state_attributes["price_level"] = price_level
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attrs = self._tibber_home.current_attributes()
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self._attr_extra_state_attributes.update(attrs)
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self._attr_available = self._attr_native_value is not None
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self._attr_native_unit_of_measurement = self._tibber_home.price_unit
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@Throttle(MIN_TIME_BETWEEN_UPDATES)
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async def _fetch_data(self):
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_LOGGER.debug("Fetching data")
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try:
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await self._tibber_home.update_info_and_price_info()
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except (asyncio.TimeoutError, aiohttp.ClientError):
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return
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data = self._tibber_home.info["viewer"]["home"]
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self._attr_extra_state_attributes["app_nickname"] = data["appNickname"]
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self._attr_extra_state_attributes["grid_company"] = data["meteringPointData"][
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"gridCompany"
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]
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self._attr_extra_state_attributes["estimated_annual_consumption"] = data[
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"meteringPointData"
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]["estimatedAnnualConsumption"]
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class TibberDataSensor(TibberSensor, CoordinatorEntity["TibberDataCoordinator"]):
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"""Representation of a Tibber sensor."""
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def __init__(
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self,
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tibber_home,
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coordinator: TibberDataCoordinator,
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entity_description: SensorEntityDescription,
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):
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"""Initialize the sensor."""
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super().__init__(coordinator=coordinator, tibber_home=tibber_home)
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self.entity_description = entity_description
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self._attr_unique_id = (
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f"{self._tibber_home.home_id}_{self.entity_description.key}"
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)
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self._attr_name = f"{entity_description.name} {self._home_name}"
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if entity_description.key == "month_cost":
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self._attr_native_unit_of_measurement = self._tibber_home.currency
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self._device_name = self._home_name
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@property
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def native_value(self):
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"""Return the value of the sensor."""
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return getattr(self._tibber_home, self.entity_description.key)
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class TibberSensorRT(TibberSensor, CoordinatorEntity["TibberRtDataCoordinator"]):
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"""Representation of a Tibber sensor for real time consumption."""
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def __init__(
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self,
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tibber_home,
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description: SensorEntityDescription,
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initial_state,
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coordinator: TibberRtDataCoordinator,
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):
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"""Initialize the sensor."""
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super().__init__(coordinator=coordinator, tibber_home=tibber_home)
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self.entity_description = description
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self._model = "Tibber Pulse"
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self._device_name = f"{self._model} {self._home_name}"
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self._attr_name = f"{description.name} {self._home_name}"
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self._attr_native_value = initial_state
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self._attr_unique_id = f"{self._tibber_home.home_id}_rt_{description.name}"
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if description.key in ("accumulatedCost", "accumulatedReward"):
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self._attr_native_unit_of_measurement = tibber_home.currency
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@property
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def available(self):
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"""Return True if entity is available."""
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return self._tibber_home.rt_subscription_running
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@callback
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def _handle_coordinator_update(self) -> None:
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if not (live_measurement := self.coordinator.get_live_measurement()):
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return
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state = live_measurement.get(self.entity_description.key)
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if state is None:
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return
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if self.entity_description.key in (
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"accumulatedConsumption",
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"accumulatedProduction",
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):
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# Value is reset to 0 at midnight, but not always strictly increasing due to hourly corrections
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# If device is offline, last_reset should be updated when it comes back online if the value has decreased
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ts_local = dt_util.parse_datetime(live_measurement["timestamp"])
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if ts_local is not None:
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if self.last_reset is None or (
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state < 0.5 * self.native_value # type: ignore[operator] # native_value is float
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and (
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ts_local.hour == 0
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or (ts_local - self.last_reset) > timedelta(hours=24)
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)
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):
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self._attr_last_reset = dt_util.as_utc(
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ts_local.replace(hour=0, minute=0, second=0, microsecond=0)
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)
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if self.entity_description.key == "powerFactor":
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state *= 100.0
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self._attr_native_value = state
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self.async_write_ha_state()
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class TibberRtDataCoordinator(DataUpdateCoordinator):
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"""Handle Tibber realtime data."""
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|
|
def __init__(self, async_add_entities, tibber_home, hass):
|
|
"""Initialize the data handler."""
|
|
self._async_add_entities = async_add_entities
|
|
self._tibber_home = tibber_home
|
|
self.hass = hass
|
|
self._added_sensors = set()
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|
super().__init__(
|
|
hass,
|
|
_LOGGER,
|
|
name=tibber_home.info["viewer"]["home"]["address"].get(
|
|
"address1", "Tibber"
|
|
),
|
|
)
|
|
|
|
self._async_remove_device_updates_handler = self.async_add_listener(
|
|
self._add_sensors
|
|
)
|
|
hass.bus.async_listen_once(EVENT_HOMEASSISTANT_STOP, self._handle_ha_stop)
|
|
|
|
@callback
|
|
def _handle_ha_stop(self, _event) -> None:
|
|
"""Handle Home Assistant stopping."""
|
|
self._async_remove_device_updates_handler()
|
|
|
|
@callback
|
|
def _add_sensors(self):
|
|
"""Add sensor."""
|
|
if not (live_measurement := self.get_live_measurement()):
|
|
return
|
|
|
|
new_entities = []
|
|
for sensor_description in RT_SENSORS:
|
|
if sensor_description.key in self._added_sensors:
|
|
continue
|
|
state = live_measurement.get(sensor_description.key)
|
|
if state is None:
|
|
continue
|
|
entity = TibberSensorRT(
|
|
self._tibber_home,
|
|
sensor_description,
|
|
state,
|
|
self,
|
|
)
|
|
new_entities.append(entity)
|
|
self._added_sensors.add(sensor_description.key)
|
|
if new_entities:
|
|
self._async_add_entities(new_entities)
|
|
|
|
def get_live_measurement(self):
|
|
"""Get live measurement data."""
|
|
if errors := self.data.get("errors"):
|
|
_LOGGER.error(errors[0])
|
|
return None
|
|
return self.data.get("data", {}).get("liveMeasurement")
|
|
|
|
|
|
class TibberDataCoordinator(DataUpdateCoordinator):
|
|
"""Handle Tibber data and insert statistics."""
|
|
|
|
def __init__(self, hass, tibber_connection):
|
|
"""Initialize the data handler."""
|
|
super().__init__(
|
|
hass,
|
|
_LOGGER,
|
|
name=f"Tibber {tibber_connection.name}",
|
|
update_interval=timedelta(minutes=20),
|
|
)
|
|
self._tibber_connection = tibber_connection
|
|
|
|
async def _async_update_data(self):
|
|
"""Update data via API."""
|
|
await self._tibber_connection.fetch_consumption_data_active_homes()
|
|
await self._insert_statistics()
|
|
|
|
async def _insert_statistics(self):
|
|
"""Insert Tibber statistics."""
|
|
for home in self._tibber_connection.get_homes():
|
|
if not home.hourly_consumption_data:
|
|
continue
|
|
for sensor_type in (
|
|
"consumption",
|
|
"totalCost",
|
|
):
|
|
statistic_id = (
|
|
f"{TIBBER_DOMAIN}:energy_"
|
|
f"{sensor_type.lower()}_"
|
|
f"{home.home_id.replace('-', '')}"
|
|
)
|
|
|
|
last_stats = await get_instance(self.hass).async_add_executor_job(
|
|
get_last_statistics, self.hass, 1, statistic_id, True
|
|
)
|
|
|
|
if not last_stats:
|
|
# First time we insert 5 years of data (if available)
|
|
hourly_consumption_data = await home.get_historic_data(5 * 365 * 24)
|
|
|
|
_sum = 0
|
|
last_stats_time = None
|
|
else:
|
|
# hourly_consumption_data contains the last 30 days
|
|
# of consumption data.
|
|
# We update the statistics with the last 30 days
|
|
# of data to handle corrections in the data.
|
|
hourly_consumption_data = home.hourly_consumption_data
|
|
|
|
start = dt_util.parse_datetime(
|
|
hourly_consumption_data[0]["from"]
|
|
) - timedelta(hours=1)
|
|
stat = await get_instance(self.hass).async_add_executor_job(
|
|
statistics_during_period,
|
|
self.hass,
|
|
start,
|
|
None,
|
|
[statistic_id],
|
|
"hour",
|
|
True,
|
|
)
|
|
_sum = stat[statistic_id][0]["sum"]
|
|
last_stats_time = stat[statistic_id][0]["start"]
|
|
|
|
statistics = []
|
|
|
|
for data in hourly_consumption_data:
|
|
if data.get(sensor_type) is None:
|
|
continue
|
|
|
|
start = dt_util.parse_datetime(data["from"])
|
|
if last_stats_time is not None and start <= last_stats_time:
|
|
continue
|
|
|
|
_sum += data[sensor_type]
|
|
|
|
statistics.append(
|
|
StatisticData(
|
|
start=start,
|
|
state=data[sensor_type],
|
|
sum=_sum,
|
|
)
|
|
)
|
|
|
|
if sensor_type == "consumption":
|
|
unit = ENERGY_KILO_WATT_HOUR
|
|
else:
|
|
unit = home.currency
|
|
metadata = StatisticMetaData(
|
|
has_mean=False,
|
|
has_sum=True,
|
|
name=f"{home.name} {sensor_type}",
|
|
source=TIBBER_DOMAIN,
|
|
statistic_id=statistic_id,
|
|
unit_of_measurement=unit,
|
|
)
|
|
async_add_external_statistics(self.hass, metadata, statistics)
|