mirror of
https://github.com/jpawlowski/hass.tibber_prices.git
synced 2026-03-30 05:13:40 +00:00
176 lines
6.2 KiB
Python
176 lines
6.2 KiB
Python
"""Binary sensor platform for tibber_prices."""
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from __future__ import annotations
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from datetime import datetime
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from typing import TYPE_CHECKING
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from homeassistant.components.binary_sensor import (
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BinarySensorDeviceClass,
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BinarySensorEntity,
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BinarySensorEntityDescription,
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)
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from homeassistant.const import EntityCategory
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from .const import NAME, DOMAIN
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from .entity import TibberPricesEntity
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if TYPE_CHECKING:
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from homeassistant.core import HomeAssistant
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from homeassistant.helpers.entity_platform import AddEntitiesCallback
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from .coordinator import TibberPricesDataUpdateCoordinator
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from .data import TibberPricesConfigEntry
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ENTITY_DESCRIPTIONS = (
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BinarySensorEntityDescription(
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key="peak_hour",
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translation_key="peak_hour",
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name="Peak Hour",
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icon="mdi:clock-alert",
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),
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BinarySensorEntityDescription(
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key="best_price_hour",
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translation_key="best_price_hour",
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name="Best Price Hour",
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icon="mdi:clock-check",
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),
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BinarySensorEntityDescription(
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key="connection",
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translation_key="connection",
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name="Tibber API Connection",
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device_class=BinarySensorDeviceClass.CONNECTIVITY,
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entity_category=EntityCategory.DIAGNOSTIC,
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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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entry: TibberPricesConfigEntry,
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async_add_entities: AddEntitiesCallback,
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) -> None:
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"""Set up the binary_sensor platform."""
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async_add_entities(
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TibberPricesBinarySensor(
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coordinator=entry.runtime_data.coordinator,
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entity_description=entity_description,
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)
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for entity_description in ENTITY_DESCRIPTIONS
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)
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class TibberPricesBinarySensor(TibberPricesEntity, BinarySensorEntity):
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"""tibber_prices binary_sensor class."""
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def __init__(
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self,
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coordinator: TibberPricesDataUpdateCoordinator,
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entity_description: BinarySensorEntityDescription,
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) -> None:
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"""Initialize the binary_sensor class."""
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super().__init__(coordinator)
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self.entity_description = entity_description
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self._attr_unique_id = f"{coordinator.config_entry.entry_id}_{entity_description.key}"
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@property
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def is_on(self) -> bool | None:
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"""Return true if the binary_sensor is on."""
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try:
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if not self.coordinator.data:
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return None
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subscription = self.coordinator.data["data"]["viewer"]["homes"][0]["currentSubscription"]
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price_info = subscription["priceInfo"]
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now = datetime.now()
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current_hour_data = None
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today_prices = price_info.get("today", [])
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if not today_prices:
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return None
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# Find current hour's data
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for price_data in today_prices:
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starts_at = datetime.fromisoformat(price_data["startsAt"])
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if starts_at.hour == now.hour:
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current_hour_data = price_data
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break
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if not current_hour_data:
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return None
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if self.entity_description.key == "peak_hour":
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# Consider it a peak hour if the price is in the top 20% of today's prices
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prices = [float(price["total"]) for price in today_prices]
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prices.sort()
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threshold_index = int(len(prices) * 0.8)
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peak_threshold = prices[threshold_index]
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return float(current_hour_data["total"]) >= peak_threshold
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elif self.entity_description.key == "best_price_hour":
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# Consider it a best price hour if the price is in the bottom 20% of today's prices
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prices = [float(price["total"]) for price in today_prices]
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prices.sort()
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threshold_index = int(len(prices) * 0.2)
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best_threshold = prices[threshold_index]
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return float(current_hour_data["total"]) <= best_threshold
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elif self.entity_description.key == "connection":
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# Check if we have valid current data
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return bool(current_hour_data)
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return None
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except (KeyError, ValueError, TypeError) as ex:
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self.coordinator.logger.error(
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"Error getting binary sensor state",
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extra={
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"error": str(ex),
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"entity": self.entity_description.key,
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},
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)
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return None
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@property
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def extra_state_attributes(self) -> dict | None:
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"""Return additional state attributes."""
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try:
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if not self.coordinator.data:
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return None
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subscription = self.coordinator.data["data"]["viewer"]["homes"][0]["currentSubscription"]
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price_info = subscription["priceInfo"]
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attributes = {}
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if self.entity_description.key in ["peak_hour", "best_price_hour"]:
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today_prices = price_info.get("today", [])
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if today_prices:
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prices = [(datetime.fromisoformat(price["startsAt"]).hour, float(price["total"]))
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for price in today_prices]
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if self.entity_description.key == "peak_hour":
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# Get top 5 peak hours
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peak_hours = sorted(prices, key=lambda x: x[1], reverse=True)[:5]
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attributes["peak_hours"] = [
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{"hour": hour, "price": price} for hour, price in peak_hours
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]
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else:
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# Get top 5 best price hours
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best_hours = sorted(prices, key=lambda x: x[1])[:5]
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attributes["best_price_hours"] = [
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{"hour": hour, "price": price} for hour, price in best_hours
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]
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return attributes if attributes else None
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except (KeyError, ValueError, TypeError) as ex:
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self.coordinator.logger.error(
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"Error getting binary sensor attributes",
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extra={
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"error": str(ex),
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"entity": self.entity_description.key,
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},
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)
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return None
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