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import dataclasses
import datetime
import typing
import szilagyi
from geopy import geocoders
from metpy import calc
from metpy import units as metunits
from windy import point_forecast, Windy
_L = point_forecast.Level
@dataclasses.dataclass
class Prediction:
time: datetime.datetime
swi: float
def calculate(config) -> typing.List[Prediction]:
units = metunits.units
windy = Windy(units)
def _calculate(latitude, longitude):
forecasts = windy.point_forecast(
config.key,
latitude, longitude,
point_forecast.Model.ICONEU,
("temp", "dewpoint", "wind", "pressure"),
tuple(_L))
for cast in forecasts:
dt = abs(cast.at("temp", _L.H850) - cast.at("temp", _L.SURFACE))
pressure, _ = calc.lcl(
cast.at("pressure", _L.SURFACE),
cast.at("temp", _L.SURFACE),
cast.at("dewpoint", _L.SURFACE))
lcl = calc.pressure_to_height_std(pressure)
pressure, _ = calc.el(cast["pressure"], cast["temp"], cast["dewpoint"])
el = calc.pressure_to_height_std(pressure)
ccd = (el - lcl).to(units.ft)
try:
swi = szilagyi.calculate_swi(dt, ccd)
except ValueError:
swi = -10
yield Prediction(time=cast.timestamp, swi=swi)
predictions = []
locator = geocoders.Nominatim(user_agent="waterspout-radar")
for location in config.locations:
found = locator.geocode(location)
predictions.extend(_calculate(found.latitude, found.longitude))
return predictions
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