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#!/usr/bin/env python3
import json, requests, datetime, argparse, pytz
import library
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('-d', '--days', type=int)
parser.add_argument('-H', '--hours', type=int)
parser.add_argument('-l', '--location', type=str, required=True)
return parser.parse_args()
def hourly_forecast(args, raw_data):
init_time = library.get_current_rounded_time()
if args.hours is not None:
delta = datetime.timedelta(hours=args.hours)
elif args.days is not None:
delta = datetime.timedelta(days=args.days)
else:
delta = datetime.timedelta(hours=(24-init_time.hour))
end_time = init_time + delta
hourly_data = library.get_hourly_data(raw_data, end_time)
for point in hourly_data:
print(point["time"].strftime("%a %x %I:%M %p"))
print(f'\t Temperature - { point["temp"] }°F')
print(f'\t Humidity - { point["humidity"] }%')
print(f'\t Chance of Precipitation - { point["precip_chance"] }%')
print(f'\t Precipitation Amount - { point["precip_amount"] } in')
print(f'\t Wind Speed - { point["wind_speed"] } MPH')
print(f'\t Wind Direction - { point["wind_direction"] }')
print('\n')
def daily_forecast(raw_data):
pass
def main():
args = parse_args()
latitude, longitude = library.get_lat_long(args.location)
grid_data = library.get_grid_data(latitude, longitude)
raw_data = library.get_raw_data(grid_data["grid_id"], grid_data["grid_x"], grid_data["grid_y"])
hourly_forecast(args, raw_data)
if __name__ == '__main__':
main()
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