fix: wrong if else placement for accuracy calc

app/lib/widgets/main_layout.dart

@@ -56,15 +56,19 @@ class _MapContainerWidgetState extends State<MapContainerWidget> {
     }
   }
 
-  // Tile selection handler
+  /// Tile selection handler
   void handleSelection(int index) {
     String indexString = index.toString();
     setState(() {
       for (Measurement measurement in widget.measurements) {
         for (SubDiv subdivision in measurement.subDivs) {
           if (subdivision.sub_div_id == indexString) {
-            selectedSubDiv = subdivision;
+            //selectedSubDiv = subdivision;
+            selectedSubDiv = widget.subdivisions[index];
             selectedMeasurement = measurement;
+
+            print("Print 1 in handleSelection");
+            print("SubdivID: ${subdivision.sub_div_id}    indexString: $indexString  index: $index");
             break;
           }
         }

server/map_handler/lake_relations/all_lake_names.json

 [
   "Mjøsa",
-  "Skumsjøen",
-  "Mjsa"
+  "Skumsjøen"
 ]
\ No newline at end of file

server/map_handler/update_measurements.py

@@ -46,6 +46,7 @@ def update_measurements(self, lake_name: str):
                     },
                     'Subdivisions': None,
                 }
+
                 for sub_division in measurement['Subdivisions']:
                     subdiv_id = sub_division['SubdivID']
                     # Extract center coordinates and round to 4 decimals
@@ -56,19 +57,18 @@ def update_measurements(self, lake_name: str):
                     # Retrieve ice statistics for current subdivision
                     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_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_stats = get_raw_dates(ice_prognosis_raw_data(sub_div_id=subdiv_id, x=center_lat, y=center_lng))
 
                     # Ice statistics were retrieved successfully
                     if len(ice_stats) > 0 and len(ice_stats[0]) > 0:
                         accuracy = 3
-                    else:  # Failed to retrieve ice statistics
-                        accuracy = 2
 
                         # Increase accuracy by 1 if the LiDar data and NVE data have a minimal discrepancy
                         if abs(avg_thickness - ice_stats[0]['Total ice (m)']) < 1.0:
-                        accuracy = accuracy + 1
+                            accuracy = 4
+                    else:  # Failed to retrieve ice statistics
+                        accuracy = 2
 
                     # Create new subdivision object
                     sub_division = {
@@ -225,23 +225,23 @@ def addTestData(self, lake_name: str):
             measurement = {
                 "MeasurementID": measurement_id,
                 "TimeMeasured": datetime.now().isoformat(),
-                "CenterLat": random.uniform(60, 61),
-                "CenterLon": random.uniform(10, 11),
+                "CenterLat": round(random.uniform(60, 61), 4),
+                "CenterLon": round(random.uniform(10, 11), 4),
                 "Sensor": {
                     "SensorID": random.randint(1, 10),
-                    "SensorType": random.choice(["LiDar", "GPS", "Camera"]),
-                    "Active": random.choice([True, False])
+                    "SensorType": "LiDar",
+                    "Active": True
                 },
                 "Subdivisions": []
             }
 
             # Create 10 subdivisions for each measurement, with randomized coordinates and thicknesses
-            for subdiv_id in range(20):
+            for subdiv_id in range(30):
 
                 subdivision = {
                     "SubdivID": subdiv_id + 10*measurement_id,
-                    "MinThickness": round(random.uniform(0, 20), 1),
-                    "AvgThickness": round(random.uniform(0, 15), 1),
+                    "MinThickness": round(random.uniform(4, 20), 1),
+                    "AvgThickness": round(random.uniform(2, 15), 1),
                     "CenLatitude": random.uniform(60, 61),
                     "CenLongitude": random.uniform(10, 11),
                     "Accuracy": 0