mirror of
https://github.com/home-assistant/core
synced 2024-08-28 03:36:46 +02:00
127 lines
4.3 KiB
Python
127 lines
4.3 KiB
Python
"""DataUpdateCoordinator for the Airly integration."""
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from asyncio import timeout
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from datetime import timedelta
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import logging
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from math import ceil
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from aiohttp import ClientSession
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from aiohttp.client_exceptions import ClientConnectorError
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from airly import Airly
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from airly.exceptions import AirlyError
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from homeassistant.core import HomeAssistant
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from homeassistant.helpers.update_coordinator import DataUpdateCoordinator, UpdateFailed
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from homeassistant.util import dt as dt_util
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from .const import (
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ATTR_API_ADVICE,
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ATTR_API_CAQI,
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ATTR_API_CAQI_DESCRIPTION,
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ATTR_API_CAQI_LEVEL,
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DOMAIN,
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MAX_UPDATE_INTERVAL,
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MIN_UPDATE_INTERVAL,
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NO_AIRLY_SENSORS,
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)
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_LOGGER = logging.getLogger(__name__)
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def set_update_interval(instances_count: int, requests_remaining: int) -> timedelta:
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"""Return data update interval.
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The number of requests is reset at midnight UTC so we calculate the update
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interval based on number of minutes until midnight, the number of Airly instances
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and the number of remaining requests.
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"""
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now = dt_util.utcnow()
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midnight = dt_util.find_next_time_expression_time(
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now, seconds=[0], minutes=[0], hours=[0]
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)
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minutes_to_midnight = (midnight - now).total_seconds() / 60
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interval = timedelta(
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minutes=min(
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max(
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ceil(minutes_to_midnight / requests_remaining * instances_count),
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MIN_UPDATE_INTERVAL,
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),
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MAX_UPDATE_INTERVAL,
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)
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)
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_LOGGER.debug("Data will be update every %s", interval)
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return interval
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class AirlyDataUpdateCoordinator(DataUpdateCoordinator):
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"""Define an object to hold Airly data."""
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def __init__(
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self,
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hass: HomeAssistant,
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session: ClientSession,
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api_key: str,
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latitude: float,
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longitude: float,
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update_interval: timedelta,
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use_nearest: bool,
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) -> None:
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"""Initialize."""
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self.latitude = latitude
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self.longitude = longitude
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# Currently, Airly only supports Polish and English
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language = "pl" if hass.config.language == "pl" else "en"
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self.airly = Airly(api_key, session, language=language)
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self.use_nearest = use_nearest
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super().__init__(hass, _LOGGER, name=DOMAIN, update_interval=update_interval)
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async def _async_update_data(self) -> dict[str, str | float | int]:
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"""Update data via library."""
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data: dict[str, str | float | int] = {}
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if self.use_nearest:
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measurements = self.airly.create_measurements_session_nearest(
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self.latitude, self.longitude, max_distance_km=5
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)
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else:
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measurements = self.airly.create_measurements_session_point(
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self.latitude, self.longitude
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)
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async with timeout(20):
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try:
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await measurements.update()
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except (AirlyError, ClientConnectorError) as error:
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raise UpdateFailed(error) from error
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_LOGGER.debug(
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"Requests remaining: %s/%s",
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self.airly.requests_remaining,
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self.airly.requests_per_day,
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)
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# Airly API sometimes returns None for requests remaining so we update
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# update_interval only if we have valid value.
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if self.airly.requests_remaining:
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self.update_interval = set_update_interval(
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len(self.hass.config_entries.async_entries(DOMAIN)),
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self.airly.requests_remaining,
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)
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values = measurements.current["values"]
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index = measurements.current["indexes"][0]
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standards = measurements.current["standards"]
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if index["description"] == NO_AIRLY_SENSORS:
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raise UpdateFailed("Can't retrieve data: no Airly sensors in this area")
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for value in values:
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data[value["name"]] = value["value"]
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for standard in standards:
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data[f"{standard['pollutant']}_LIMIT"] = standard["limit"]
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data[f"{standard['pollutant']}_PERCENT"] = standard["percent"]
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data[ATTR_API_CAQI] = index["value"]
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data[ATTR_API_CAQI_LEVEL] = index["level"].lower().replace("_", " ")
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data[ATTR_API_CAQI_DESCRIPTION] = index["description"]
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data[ATTR_API_ADVICE] = index["advice"]
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return data
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