update: legend values

app/lib/widgets/choropleth_map.dart

@@ -53,23 +53,23 @@ class ChoroplethMapState extends State<ChoroplethMap> {
           MapColorMapper(
               from: 0,
               to: 4,
-              color: Color(0xFFff0000),
-              text: '{0cm},{4cm}'),
+              color: Color(0xffff0000),
+              text: '{0},{1}'),
           MapColorMapper(
               from: 4,
               to: 8,
               color: Color(0xffff6a00),
-              text: '8cm'),
+              text: '2'),
           MapColorMapper(
               from: 8,
               to: 12,
               color: Color(0xFFb1ff00),
-              text: '12cm'),
+              text: '3'),
           MapColorMapper(
               from: 12,
               to: 400,
               color: Color(0xFF00d6ff),
-              text: '>15cm'),
+              text: '4'),
           ],
       );
   }

server/ModelFromNVE/logs/icemodelling_2024-05-08.log

+12:44: weatherelement.py -> patch_novalue_in_weather_element_list: Value missing on UTM33 X266707 Y6749365 2024-01-10 06:00:00 tm. Adding avg value -11.049999999999969.
+12:44: weatherelement.py -> patch_novalue_in_weather_element_list: Value missing on UTM33 X266707 Y6749365 2024-01-17 06:00:00 tm. Adding avg value -15.449999999999989.
+12:44: weatherelement.py -> patch_novalue_in_weather_element_list: Value missing on UTM33 X266707 Y6749365 2024-02-17 06:00:00 sdfsw. Adding avg value 15.025000000000002.
+12:44: weatherelement.py -> patch_novalue_in_weather_element_list: Value missing on UTM33 X266707 Y6749365 2024-02-18 06:00:00 sdfsw. Adding avg value 9.662500000000001.
+12:44: weatherelement.py -> patch_novalue_in_weather_element_list: Value missing on UTM33 X266707 Y6749365 2024-01-18 06:00:00 sd. Adding avg value 35.3.
+12:44: weatherelement.py -> patch_novalue_in_weather_element_list: Value missing on UTM33 X266707 Y6749365 2024-02-17 06:00:00 sd. Adding avg value 67.575.
+12:44: weatherelement.py -> patch_novalue_in_weather_element_list: Value missing on UTM33 X266707 Y6749365 2024-02-18 06:00:00 sd. Adding avg value 66.6375.

server/map_handler/add_new_lake.py

@@ -45,7 +45,7 @@ def cut_map(self, cursor, lake_name: str, cell_size_in_km: float = 0.5):
         bounds = polygons[0].bounds
         start_x, start_y, _, _ = bounds
 
-        cell_width = cell_size_in_km / 111.3200
+        cell_width =  0.5 / 111.3200
         cell_height = cell_width / cos(start_x * 0.01745)
 
         # Process all polygons

server/map_handler/update_measurements.py

@@ -54,7 +54,10 @@ def update_measurements(self, lake_name: str):
                     avg_thickness = sub_division['AvgThickness']
 
                     # Retrieve ice statistics for current subdivision
-                    ice_stats = get_raw_dates(ice_prognosis_raw_data(sub_div_id=subdiv_id, x=center_lat, y=center_lng))
+                    temp_to_date = "2024-10-12"
+                    temp_from_date = "2024-10-19"
+                    ice_stats = get_raw_dates(ice_prognosis_raw_data(
+                            sub_div_id=subdiv_id, x=center_lat, y=center_lng), to_date=temp_to_date, from_date=temp_from_date)
 
                     # Ice statistics were retrieved successfully
                     if len(ice_stats) > 0 and len(ice_stats[0]) > 0:
@@ -156,8 +159,10 @@ def fill_remaining_subdivisions(lake_name: str, processed_ids: list):
 
                 # Fetch weather data for each subdivision from the NVE model
                 # NB hard coded date to december 2024 for testing, remove to_date param before use
-                # temp_date = [datetime(2023, 12, 12)]
-                ice_stats = get_raw_dates(ice_prognosis_raw_data(sub_div_id=sub_div_id, x=center_lat, y=center_lng))
+                temp_to_date = "2024-10-12"
+                temp_from_date = "2024-10-19"
+                ice_stats = get_raw_dates(ice_prognosis_raw_data(
+                    sub_div_id=sub_div_id, x=center_lat, y=center_lng), to_date=temp_to_date, from_date=temp_from_date)
 
                 if len(ice_stats) > 0 and len(ice_stats[0]) > 0:
                     total_ice_thickness = ice_stats[0]['Total ice (m)']