Update app.py

app.py

@@ -239,18 +239,19 @@ else:
         
         # calculate distances between zipcodes
         if data['Zip Code'] != "Unsure":
-            geocoding_api_key = os.environ['OpenWeather_API_KEY']
+            geocoding_api_key = os.environ['GoogleAPI']
             
-            shelters_coordinates = shelters.apply(lambda row: get_coordinates(row['Zip Code'], geocoding_api_key), axis=1).tolist()
-            user_coordinates = get_coordinates(data['Zip Code'], geocoding_api_key)
+            shelters_coordinates = shelters.apply(lambda row: geocode_address(f"{row['Address']}, {row['City']}, CA {row['Zip Code']}", geocoding_api_key), axis=1).tolist()
+            user_coordinates = get_coordinates(f"{data['City']}, CA {data['Zip Code']}", geocoding_api_key)
         
             distances = []
             for coordinates in shelters_coordinates:
                  distances.append(haversine(coordinates[0], coordinates[1], user_coordinates[0], user_coordinates[1]))
         
-            max = max(distances) if (max(distances) != 0) else 1
-            shelters['zipcode_score'] = [d / max for d in distances]
+            max_d = max(distances) if (max(distances) != 0) else 1
+            shelters['zipcode_score'] = [d / max_d for d in distances]
             scores.append('zipcode_score')
+            print('zipcode_score')
     
         # get urgency scores 
         urgency_scores = shelters.apply(lambda row: get_urgency_score(data['Urgency'], row['Urgency']), axis=1).tolist()