remove old owm_forecasts pyowm wrapper
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mrbwburns
parent
ed37862bdf
commit
b32a709967
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import logging
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from datetime import datetime
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from datetime import timedelta
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import arrow
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from dateutil import tz
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from pyowm import OWM
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from pyowm.utils.config import get_default_config
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from inkycal.custom.functions import get_system_tz
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## Configure logger instance for local logging
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logger = logging.getLogger(__name__)
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logger.setLevel(logging.DEBUG)
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def is_timestamp_within_range(timestamp, start_time, end_time):
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# Check if the timestamp is within the range
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return start_time <= timestamp <= end_time
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def get_owm_data(city_id: int, token: str, temp_units: str, wind_units: str, language: str = "en"):
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config_dict = get_default_config()
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config_dict["language"] = language
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tz_zone = tz.gettz(get_system_tz())
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owm = OWM(token, config_dict)
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mgr = owm.weather_manager()
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current_observation = mgr.weather_at_id(id=city_id)
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current_weather = current_observation.weather
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hourly_forecasts = mgr.forecast_at_id(id=city_id, interval="3h")
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# Forecasts are provided for every 3rd full hour
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# - find out how many hours there are until the next 3rd full hour
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now = arrow.utcnow()
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if (now.hour % 3) != 0:
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hour_gap = 3 - (now.hour % 3)
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else:
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hour_gap = 3
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# Create timings for hourly forcasts
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steps = [i * 3 for i in range(40)]
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forecast_timings = [now.shift(hours=+hour_gap + step).floor("hour") for step in steps]
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# Create forecast objects for given timings
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forecasts = [hourly_forecasts.get_weather_at(forecast_time.datetime) for forecast_time in forecast_timings]
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# Add forecast-data to fc_data list of dictionaries
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hourly_data_dict = []
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for forecast in forecasts:
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temp = forecast.temperature(unit=temp_units)["temp"]
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min_temp = forecast.temperature(unit=temp_units)["temp_min"]
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max_temp = forecast.temperature(unit=temp_units)["temp_max"]
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wind = forecast.wind(unit=wind_units)["speed"]
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wind_gust = forecast.wind(unit=wind_units)["gust"]
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# combined precipitation (snow + rain)
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precip_mm = 0.0
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if "3h" in forecast.rain.keys():
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precip_mm = +forecast.rain["3h"]
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if "3h" in forecast.snow.keys():
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precip_mm = +forecast.snow["3h"]
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icon = forecast.weather_icon_name
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hourly_data_dict.append(
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{
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"temp": temp,
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"min_temp": min_temp,
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"max_temp": max_temp,
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"precip_3h_mm": precip_mm,
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"wind": wind,
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"wind_gust": wind_gust,
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"icon": icon,
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"datetime": forecast_timings[forecasts.index(forecast)].datetime.astimezone(tz=tz_zone),
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}
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)
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return (current_weather, hourly_data_dict)
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def get_forecast_for_day(days_from_today: int, hourly_forecasts: list) -> dict:
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"""Get temperature range, rain and most frequent icon code for forecast
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days_from_today should be int from 0-4: e.g. 2 -> 2 days from today
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"""
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# Calculate the start and end times for the specified number of days from now
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current_time = datetime.now()
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tz_zone = tz.gettz(get_system_tz())
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start_time = (
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(current_time + timedelta(days=days_from_today))
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.replace(hour=0, minute=0, second=0, microsecond=0)
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.astimezone(tz=tz_zone)
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)
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end_time = (start_time + timedelta(days=1)).astimezone(tz=tz_zone)
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# Get all the forecasts for that day's time range
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forecasts = [
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f
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for f in hourly_forecasts
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if is_timestamp_within_range(timestamp=f["datetime"], start_time=start_time, end_time=end_time)
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]
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# if all the forecasts are from the next day, at least use the first one in the list to be able to return something
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if forecasts == []:
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forecasts.append(hourly_forecasts[0])
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# Get rain and temperatures for that day
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temps = [f["temp"] for f in forecasts]
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rain = sum([f["precip_3h_mm"] for f in forecasts])
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# Get all weather icon codes for this day
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icons = [f["icon"] for f in forecasts]
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day_icons = [icon for icon in icons if "d" in icon]
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# Use the day icons if possible
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icon = max(set(day_icons), key=icons.count) if len(day_icons) > 0 else max(set(icons), key=icons.count)
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# Return a dict with that day's data
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day_data = {
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"datetime": start_time.timestamp(),
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"icon": icon,
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"temp_min": min(temps),
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"temp_max": max(temps),
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"precip_mm": rain,
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}
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return day_data
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