forecast.py

import forecastio
import pandas as pd
import time, datetime
from shapely import wkt
import os

api_key = 'Your key'
curr_dir = os.path.dirname(__file__)

groups = pd.read_csv('%s/data/hexagon-groups.csv' % curr_dir, index_col=0)
groups['coords'] = groups['centroid'].apply(lambda pnt: {'lon': wkt.loads(pnt).x, 'lat': wkt.loads(pnt).y})

for key, group in groups.iterrows():
    now = datetime.datetime.now()
    print('polygon', key, group['coords']['lat'], group['coords']['lon'])
    path = '%s/data/forecast/%s/p-%s' % (curr_dir, now.date().isoformat(), key)
    if not os.path.exists(path):
        os.makedirs(path)

    forecast = forecastio.load_forecast(api_key, group['coords']['lat'], group['coords']['lon'])

    f = open('%s/%s-forecast.csv' % (path, int(time.time())), 'w')

    f.write(now.isoformat() + '\n')
    f.write(str(key) + '\n')
    f.write(forecast.response.text)
    f.close()