Update functions.py

functions.py

@@ -8,69 +8,9 @@ import json
 
 
 
-def get_weather_json_quick(date):
+def get_weather_by_date(date):
     return requests.get(f'https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/helsinki/{date}?unitGroup=metric&include=days&key=J7TT2WGMUNNHD8JBEDXAJJXB2&contentType=json').json()
 
-def get_air_quality_data():
-    
-    AIR_QUALITY_API_KEY = os.getenv('AIR_QUALITY_API_KEY')
-    json = get_air_json(AIR_QUALITY_API_KEY)
-    iaqi = json['iaqi']
-    forecast = json['forecast']['daily']
-    return [
-        json['aqi'],                 # AQI
-        json['time']['s'][:10],      # Date
-        iaqi['h']['v'],
-        iaqi['p']['v'],
-        iaqi['pm10']['v'],
-        iaqi['t']['v'],
-        forecast['o3'][0]['avg'],
-        forecast['o3'][0]['max'],
-        forecast['o3'][0]['min'],
-        forecast['pm10'][0]['avg'],
-        forecast['pm10'][0]['max'],
-        forecast['pm10'][0]['min'],
-        forecast['pm25'][0]['avg'],
-        forecast['pm25'][0]['max'],
-        forecast['pm25'][0]['min'],
-        forecast['uvi'][0]['avg'],
-        forecast['uvi'][0]['avg'],
-        forecast['uvi'][0]['avg']
-    ]
-
-
-def get_weather_data(json):
-    #WEATHER_API_KEY = os.getenv('WEATHER_API_KEY')
-    
-    #csv = get_weather_csv()
-    data = json['days'][0]
-    print("data parsed sccessfully")
-    #return [
-    #    #json['address'].capitalize(),
-    #    data['datetime'],
-    #    data['feelslikemax'],
-    #    data['feelslikemin'],
-    #    data['feelslike'],
-    #    data['dew'],
-    #    data['humidity'],
-    #    data['precip'],
-    #    data['precipprob'],
-    #    data['precipcover'],
-    #    data['snow'],
-    #    data['snowdepth'],
-    #    data['windgust'],
-    #    data['windspeed'],
-    #    data['winddir'],
-    #    data['pressure'],
-    #    data['cloudcover'],
-    #    data['visibility'],
-    #    data['solarradiation'],
-    #    data['solarenergy'],
-    #    data['uvindex'],
-    #    data['conditions']
-    #]
-    return data
-
 
 def get_weather_df(data):
     col_names = [