remove old owm_forecasts pyowm wrapper

inkycal/custom/owm_forecasts.py

@@ -1,128 +0,0 @@
-import logging
-from datetime import datetime
-from datetime import timedelta
-
-import arrow
-from dateutil import tz
-from pyowm import OWM
-from pyowm.utils.config import get_default_config
-
-from inkycal.custom.functions import get_system_tz
-
-## Configure logger instance for local logging
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
-
-
-def is_timestamp_within_range(timestamp, start_time, end_time):
-    # Check if the timestamp is within the range
-    return start_time <= timestamp <= end_time
-
-
-def get_owm_data(city_id: int, token: str, temp_units: str, wind_units: str, language: str = "en"):
-    config_dict = get_default_config()
-    config_dict["language"] = language
-
-    tz_zone = tz.gettz(get_system_tz())
-
-    owm = OWM(token, config_dict)
-
-    mgr = owm.weather_manager()
-
-    current_observation = mgr.weather_at_id(id=city_id)
-    current_weather = current_observation.weather
-    hourly_forecasts = mgr.forecast_at_id(id=city_id, interval="3h")
-
-    # Forecasts are provided for every 3rd full hour
-    # - find out how many hours there are until the next 3rd full hour
-    now = arrow.utcnow()
-    if (now.hour % 3) != 0:
-        hour_gap = 3 - (now.hour % 3)
-    else:
-        hour_gap = 3
-
-    # Create timings for hourly forcasts
-    steps = [i * 3 for i in range(40)]
-    forecast_timings = [now.shift(hours=+hour_gap + step).floor("hour") for step in steps]
-
-    # Create forecast objects for given timings
-    forecasts = [hourly_forecasts.get_weather_at(forecast_time.datetime) for forecast_time in forecast_timings]
-
-    # Add forecast-data to fc_data list of dictionaries
-    hourly_data_dict = []
-    for forecast in forecasts:
-        temp = forecast.temperature(unit=temp_units)["temp"]
-        min_temp = forecast.temperature(unit=temp_units)["temp_min"]
-        max_temp = forecast.temperature(unit=temp_units)["temp_max"]
-        wind = forecast.wind(unit=wind_units)["speed"]
-        wind_gust = forecast.wind(unit=wind_units)["gust"]
-        # combined precipitation (snow + rain)
-        precip_mm = 0.0
-        if "3h" in forecast.rain.keys():
-            precip_mm = +forecast.rain["3h"]
-        if "3h" in forecast.snow.keys():
-            precip_mm = +forecast.snow["3h"]
-
-        icon = forecast.weather_icon_name
-        hourly_data_dict.append(
-            {
-                "temp": temp,
-                "min_temp": min_temp,
-                "max_temp": max_temp,
-                "precip_3h_mm": precip_mm,
-                "wind": wind,
-                "wind_gust": wind_gust,
-                "icon": icon,
-                "datetime": forecast_timings[forecasts.index(forecast)].datetime.astimezone(tz=tz_zone),
-            }
-        )
-
-    return (current_weather, hourly_data_dict)
-
-
-def get_forecast_for_day(days_from_today: int, hourly_forecasts: list) -> dict:
-    """Get temperature range, rain and most frequent icon code for forecast
-    days_from_today should be int from 0-4: e.g. 2 -> 2 days from today
-    """
-    # Calculate the start and end times for the specified number of days from now
-    current_time = datetime.now()
-    tz_zone = tz.gettz(get_system_tz())
-    start_time = (
-        (current_time + timedelta(days=days_from_today))
-        .replace(hour=0, minute=0, second=0, microsecond=0)
-        .astimezone(tz=tz_zone)
-    )
-    end_time = (start_time + timedelta(days=1)).astimezone(tz=tz_zone)
-
-    # Get all the forecasts for that day's time range
-    forecasts = [
-        f
-        for f in hourly_forecasts
-        if is_timestamp_within_range(timestamp=f["datetime"], start_time=start_time, end_time=end_time)
-    ]
-
-    # if all the forecasts are from the next day, at least use the first one in the list to be able to return something
-    if forecasts == []:
-        forecasts.append(hourly_forecasts[0])
-
-    # Get rain and temperatures for that day
-    temps = [f["temp"] for f in forecasts]
-    rain = sum([f["precip_3h_mm"] for f in forecasts])
-
-    # Get all weather icon codes for this day
-    icons = [f["icon"] for f in forecasts]
-    day_icons = [icon for icon in icons if "d" in icon]
-
-    # Use the day icons if possible
-    icon = max(set(day_icons), key=icons.count) if len(day_icons) > 0 else max(set(icons), key=icons.count)
-
-    # Return a dict with that day's data
-    day_data = {
-        "datetime": start_time.timestamp(),
-        "icon": icon,
-        "temp_min": min(temps),
-        "temp_max": max(temps),
-        "precip_mm": rain,
-    }
-
-    return day_data