Esempio n. 1
0
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,
        )

        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
Esempio n. 2
0
async def test_location(client,
                        api_key,
                        latitude,
                        longitude,
                        use_nearest=False):
    """Return true if location is valid."""
    airly = Airly(api_key, client)
    if use_nearest:
        measurements = airly.create_measurements_session_nearest(
            latitude=latitude, longitude=longitude, max_distance_km=5)
    else:
        measurements = airly.create_measurements_session_point(
            latitude=latitude, longitude=longitude)
    with async_timeout.timeout(10):
        await measurements.update()

    current = measurements.current

    if current["indexes"][0]["description"] == NO_AIRLY_SENSORS["en"]:
        return False
    return True
Esempio n. 3
0
async def main():
    pyairly_logger = logging.getLogger('pyairly')
    pyairly_logger.setLevel(logging.DEBUG)
    pyairly_logger.addHandler(logging.StreamHandler(sys.stdout))
    async with aiohttp.ClientSession() as http_session:
        airly = Airly(API_KEY, http_session)
        measurements_clients = OrderedDict([
            ('for nearest installation',
             airly.create_measurements_session_nearest(LATITUDE, LONGITUDE)),
        ])

        for description, client in measurements_clients.items():
            print()
            sys.stdout.flush()
            await client.update()
            sys.stdout.flush()
            current = client.current
            print("Measurements %s:" % description)
            for m in Measurement.MEASUREMENTS_TYPES:
                #print("%s: %s" % (m, current.values.get(m)))
                weather_dict.append((m, current.values.get(m)))