Update app.py

app.py

@@ -119,28 +119,28 @@ def get_duration_score(user, shelter):
         if shelter == "Transitional": return 0.5
         if shelter == "Long-Term": return 0
     
-def get_coordinates(zipcode: str, api_key: str) -> list:
-    """
-    Get the coordinates (latitude and longitude) of an address using the OpenWeather Geocoding API.
-
-    Parameters:
-    zipcode (str): The zipcode to geocode.
-    api_key (str): Your OpenWeather API key.
-
-    Returns:
-    list: A list containing the latitude and longitude of the address.
-    """
-
-    base_url = "http://api.openweathermap.org/geo/1.0/zip"
-    params = {
-        'zip': str(zipcode) + ",US",
-        'appid': api_key
-    }
+# def get_coordinates(zipcode: str, api_key: str) -> list:
+#     """
+#     Get the coordinates (latitude and longitude) of an address using the OpenWeather Geocoding API.
 
-    response = requests.get(base_url, params=params)
-    data = response.json()
-    print(data)
-    return [data.get('lat'), data.get('lon')]
+#     Parameters:
+#     zipcode (str): The zipcode to geocode.
+#     api_key (str): Your OpenWeather API key.
+
+#     Returns:
+#     list: A list containing the latitude and longitude of the address.
+#     """
+
+#     base_url = "http://api.openweathermap.org/geo/1.0/zip"
+#     params = {
+#         'zip': str(zipcode) + ",US",
+#         'appid': api_key
+#     }
+
+#     response = requests.get(base_url, params=params)
+#     data = response.json()
+#     print(data)
+#     return [data.get('lat'), data.get('lon')]
 
 def haversine(lat1, lon1, lat2, lon2):
     R = 6371  # Earth radius in kilometers. Use 3956 for miles.
@@ -251,7 +251,7 @@ else:
             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')
+            print(scores['zipcode_score'])
     
         # get urgency scores 
         urgency_scores = shelters.apply(lambda row: get_urgency_score(data['Urgency'], row['Urgency']), axis=1).tolist()
@@ -285,8 +285,6 @@ else:
             scores.append('time_score')
         elif data['Urgency'] == "In a week or more":
             pass
-
-        print(scores)
             
         # calcualte cumulative score
         shelters['total_score'] = shelters[scores].sum(axis=1)