core/homeassistant/components/tessie/coordinator.py

86 lines
2.6 KiB
Python

"""Tessie Data Coordinator."""
from datetime import timedelta
from http import HTTPStatus
import logging
from typing import Any
from aiohttp import ClientResponseError
from tessie_api import get_state, get_status
from homeassistant.core import HomeAssistant
from homeassistant.exceptions import ConfigEntryAuthFailed
from homeassistant.helpers.aiohttp_client import async_get_clientsession
from homeassistant.helpers.update_coordinator import DataUpdateCoordinator
from .const import TessieStatus
# This matches the update interval Tessie performs server side
TESSIE_SYNC_INTERVAL = 10
_LOGGER = logging.getLogger(__name__)
class TessieStateUpdateCoordinator(DataUpdateCoordinator[dict[str, Any]]):
"""Class to manage fetching data from the Tessie API."""
def __init__(
self,
hass: HomeAssistant,
api_key: str,
vin: str,
data: dict[str, Any],
) -> None:
"""Initialize Tessie Data Update Coordinator."""
super().__init__(
hass,
_LOGGER,
name="Tessie",
update_interval=timedelta(seconds=TESSIE_SYNC_INTERVAL),
)
self.api_key = api_key
self.vin = vin
self.session = async_get_clientsession(hass)
self.data = self._flatten(data)
async def _async_update_data(self) -> dict[str, Any]:
"""Update vehicle data using Tessie API."""
try:
status = await get_status(
session=self.session,
api_key=self.api_key,
vin=self.vin,
)
if status["status"] == TessieStatus.ASLEEP:
# Vehicle is asleep, no need to poll for data
self.data["state"] = status["status"]
return self.data
vehicle = await get_state(
session=self.session,
api_key=self.api_key,
vin=self.vin,
use_cache=True,
)
except ClientResponseError as e:
if e.status == HTTPStatus.UNAUTHORIZED:
# Auth Token is no longer valid
raise ConfigEntryAuthFailed from e
raise e
return self._flatten(vehicle)
def _flatten(
self, data: dict[str, Any], parent: str | None = None
) -> dict[str, Any]:
"""Flatten the data structure."""
result = {}
for key, value in data.items():
if parent:
key = f"{parent}_{key}"
if isinstance(value, dict):
result.update(self._flatten(value, key))
else:
result[key] = value
return result