hass-core/homeassistant/components/airly/__init__.py
Maciej Bieniek 513685bbea
Add dynamic update interval to Airly integration (#47505)
* Add dynamic update interval

* Update tests

* Improve tests

* Improve comments

* Add MAX_UPDATE_INTERVAL

* Suggested change

Co-authored-by: Martin Hjelmare <marhje52@gmail.com>

* Use async_fire_time_changed to test update interval

* Fix test_update_interval

* Patch dt_util in airly integration

* Cleaning

* Use total_seconds instead of seconds

* Fix update interval test

* Refactor update interval test

* Don't create new context manager

Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
2021-04-27 23:34:53 +02:00

170 lines
5.3 KiB
Python

"""The Airly integration."""
from datetime import timedelta
import logging
from math import ceil
from aiohttp.client_exceptions import ClientConnectorError
from airly import Airly
from airly.exceptions import AirlyError
import async_timeout
from homeassistant.const import CONF_API_KEY, CONF_LATITUDE, CONF_LONGITUDE
from homeassistant.helpers.aiohttp_client import async_get_clientsession
from homeassistant.helpers.update_coordinator import DataUpdateCoordinator, UpdateFailed
from homeassistant.util import dt as dt_util
from .const import (
ATTR_API_ADVICE,
ATTR_API_CAQI,
ATTR_API_CAQI_DESCRIPTION,
ATTR_API_CAQI_LEVEL,
CONF_USE_NEAREST,
DOMAIN,
MAX_UPDATE_INTERVAL,
MIN_UPDATE_INTERVAL,
NO_AIRLY_SENSORS,
)
PLATFORMS = ["air_quality", "sensor"]
_LOGGER = logging.getLogger(__name__)
def set_update_interval(instances, requests_remaining):
"""
Return data update interval.
The number of requests is reset at midnight UTC so we calculate the update
interval based on number of minutes until midnight, the number of Airly instances
and the number of remaining requests.
"""
now = dt_util.utcnow()
midnight = dt_util.find_next_time_expression_time(
now, seconds=[0], minutes=[0], hours=[0]
)
minutes_to_midnight = (midnight - now).total_seconds() / 60
interval = timedelta(
minutes=min(
max(
ceil(minutes_to_midnight / requests_remaining * instances),
MIN_UPDATE_INTERVAL,
),
MAX_UPDATE_INTERVAL,
)
)
_LOGGER.debug("Data will be update every %s", interval)
return interval
async def async_setup_entry(hass, config_entry):
"""Set up Airly as config entry."""
api_key = config_entry.data[CONF_API_KEY]
latitude = config_entry.data[CONF_LATITUDE]
longitude = config_entry.data[CONF_LONGITUDE]
use_nearest = config_entry.data.get(CONF_USE_NEAREST, False)
# For backwards compat, set unique ID
if config_entry.unique_id is None:
hass.config_entries.async_update_entry(
config_entry, unique_id=f"{latitude}-{longitude}"
)
websession = async_get_clientsession(hass)
update_interval = timedelta(minutes=MIN_UPDATE_INTERVAL)
coordinator = AirlyDataUpdateCoordinator(
hass, websession, api_key, latitude, longitude, update_interval, use_nearest
)
await coordinator.async_config_entry_first_refresh()
hass.data.setdefault(DOMAIN, {})
hass.data[DOMAIN][config_entry.entry_id] = coordinator
hass.config_entries.async_setup_platforms(config_entry, PLATFORMS)
return True
async def async_unload_entry(hass, config_entry):
"""Unload a config entry."""
unload_ok = await hass.config_entries.async_unload_platforms(
config_entry, PLATFORMS
)
if unload_ok:
hass.data[DOMAIN].pop(config_entry.entry_id)
return unload_ok
class AirlyDataUpdateCoordinator(DataUpdateCoordinator):
"""Define an object to hold Airly data."""
def __init__(
self,
hass,
session,
api_key,
latitude,
longitude,
update_interval,
use_nearest,
):
"""Initialize."""
self.latitude = latitude
self.longitude = longitude
self.airly = Airly(api_key, session)
self.use_nearest = use_nearest
super().__init__(hass, _LOGGER, name=DOMAIN, update_interval=update_interval)
async def _async_update_data(self):
"""Update data via library."""
data = {}
if self.use_nearest:
measurements = self.airly.create_measurements_session_nearest(
self.latitude, self.longitude, max_distance_km=5
)
else:
measurements = self.airly.create_measurements_session_point(
self.latitude, self.longitude
)
with async_timeout.timeout(20):
try:
await measurements.update()
except (AirlyError, ClientConnectorError) as error:
raise UpdateFailed(error) from error
_LOGGER.debug(
"Requests remaining: %s/%s",
self.airly.requests_remaining,
self.airly.requests_per_day,
)
# Airly API sometimes returns None for requests remaining so we update
# update_interval only if we have valid value.
if self.airly.requests_remaining:
self.update_interval = set_update_interval(
len(self.hass.config_entries.async_entries(DOMAIN)),
self.airly.requests_remaining,
)
values = measurements.current["values"]
index = measurements.current["indexes"][0]
standards = measurements.current["standards"]
if index["description"] == NO_AIRLY_SENSORS:
raise UpdateFailed("Can't retrieve data: no Airly sensors in this area")
for value in values:
data[value["name"]] = value["value"]
for standard in standards:
data[f"{standard['pollutant']}_LIMIT"] = standard["limit"]
data[f"{standard['pollutant']}_PERCENT"] = standard["percent"]
data[ATTR_API_CAQI] = index["value"]
data[ATTR_API_CAQI_LEVEL] = index["level"].lower().replace("_", " ")
data[ATTR_API_CAQI_DESCRIPTION] = index["description"]
data[ATTR_API_ADVICE] = index["advice"]
return data