def update_files(): forecast = fetch.load_tomorrows_forecast(os.environ.get('FMIAPIKEY')) fetch.write_to_file('data/clean/forecasts', forecast) write_to_file('data/clean/predictions', tomorrows_prediction_with_past(forecast)) write_to_file('data/clean/labels', yesterdays_cyclists()) fetch.write_to_file('data/clean/data', fetch.yesterdays_actual_weather(os.environ.get('FMIAPIKEY'))) create_history_plot()
def update_files(): forecast = fetch.load_tomorrows_forecast(os.environ.get('FMIAPIKEY')) fetch.write_to_file('data/clean/forecasts', forecast) write_to_file('data/clean/predictions', tomorrows_prediction_with_past(forecast)) write_to_file('data/clean/labels', yesterdays_cyclists()) fetch.write_to_file( 'data/clean/data', fetch.yesterdays_actual_weather(os.environ.get('FMIAPIKEY'))) create_history_plot()
def tomorrows_prediction(): forecast = fetch.load_tomorrows_forecast(os.environ.get('FMIAPIKEY')) print('fmi apikey:', os.environ.get('FMIAPIKEY')) day = (datetime.today()+timedelta(1)).weekday() return lc.predict_for(forecast, day)
def tomorrows_prediction(): forecast = fetch.load_tomorrows_forecast(os.environ.get('FMIAPIKEY')) print('fmi apikey:', os.environ.get('FMIAPIKEY')) day = (datetime.today() + timedelta(1)).weekday() return lc.predict_for(forecast, day)