update: som error hadling in get_measurements.py

server/main.py

@@ -81,7 +81,7 @@ class IceHTTP(BaseHTTPRequestHandler):
             lake_name = unquote(lake_name_param)  # Decode url param
 
             if lake_name_param:
-                get_measurements(self, cursor, lake_name)
+                get_measurements(self, lake_name)
             else:
                 self.send_response(400)
                 self.send_header('Content-type', 'application/json')

server/map_handler/get_measurements.py

+import os
 import json
 from datetime import datetime
 
@@ -5,7 +6,7 @@ from server.consts import LAKE_RELATIONS_PATH
 from server.ModelFromNVE.icemodellingscripts.getIceThicknessLakes import get_raw_dates, ice_prognosis_raw_data
 
 
-def get_measurements(self, cursor, lake_name):
+def get_measurements(self, lake_name):
     """
     Retrieves LiDar data for a given lake, and adds weather data to each subdivision.
 
@@ -15,14 +16,18 @@ def get_measurements(self, cursor, lake_name):
                     lake_name (str): The name of the requested file/lake
     """
     try:
-        # Read the newest lidar data from JSON file
-        with open(LAKE_RELATIONS_PATH + lake_name + '_lidar_data.json', 'r') as file:
-            lidar_data = json.load(file)
-
+        file_path = os.path.join(LAKE_RELATIONS_PATH, lake_name + '_measurements.json')
         sub_div_ids = []
+        measurements = []
+
+        # Check if the file exists
+        if os.path.exists(file_path):
+            # Read the newest lidar data from JSON file
+            with open(LAKE_RELATIONS_PATH + lake_name + '_measurements.json', 'r') as file:
+                measurements = json.load(file)
 
             # Iterate over all fetched rows
-        for measurement in lidar_data:
+            for measurement in measurements:
 
                 for sub_division in measurement['Subdivisions']:
                     measurement_id = measurement['MeasurementID']
@@ -42,15 +47,16 @@ def get_measurements(self, cursor, lake_name):
                         'Color': calculateColor(sub_division['MinThickness'], ),
                         # NB color calculated based on average thickness, should be minimum
                         # Fetch weather data from the NVE model
-                    'IceStats': get_raw_dates(ice_prognosis_raw_data(sub_div_id=subdiv_id, x=center_lat, y=center_lng))
+                        'IceStats': get_raw_dates(
+                            ice_prognosis_raw_data(sub_div_id=subdiv_id, x=center_lat, y=center_lng))
                     }
                     sub_div_ids.append(subdiv_id)
 
-                lidar_data[measurement_id]['Subdivisions'].append(sub_division)
+                    measurements[measurement_id]['Subdivisions'].append(sub_division)
 
         # Populate remaining subdivisions and create "invalid" or "proxy" measurement to store them
         remaining_sub_divs = fill_remaining_subdivisions(lake_name, sub_div_ids)
-        lidar_data[-1] = {
+        measurements[-1] = {
             'MeasurementID': -1,
             'TimeMeasured': str(datetime.now()),
             'CenterLat': None,
@@ -60,21 +66,21 @@ def get_measurements(self, cursor, lake_name):
         }
 
         # Convert dictionary values to list of measurements
-        data = list(lidar_data.values())
+        data = list(measurements.values())
 
         # Write the newest measurements to file
-        with open(LAKE_RELATIONS_PATH + lake_name.lower() + '_lidar_data.json', 'w') as f:
+        with open(LAKE_RELATIONS_PATH + lake_name.lower() + '_measurements.json', 'w') as f:
             json.dump(data, f)
 
         if len(data) == 0:
-            marker_data = json.dumps(['no measurements'])
+            response_data = json.dumps(['no measurements'])
         else:
             # Convert list of dictionaries to JSON
-            marker_data = json.dumps(data, indent=4)
+            response_data = json.dumps(data, indent=4)
 
     except Exception as e:
         print(f"Error in getting measurements: {e}")
-        marker_data = '[]'
+        response_data = '[]'
 
         # Set headers
         self.send_response(500)
@@ -86,8 +92,8 @@ def get_measurements(self, cursor, lake_name):
     self.send_header("Content-type", "application/json")
     self.end_headers()
 
-    # Write marker data to response object
-    self.wfile.write(marker_data.encode('utf-8'))
+    # Write processed data to response object
+    self.wfile.write(response_data.encode('utf-8'))
 
 
 def fill_remaining_subdivisions(lake_name: str, sub_div_ids: list):

server/map_handler/lake_relations/mjøsa_lidar_data.json

@@ -4,7 +4,7 @@
     "TimeMeasured": "2024-04-15 16:23:28.620516",
     "CenterLat": 60.841532,
     "CenterLon": 10.717878,
-    "Sensor": null,
+    "Sensor": 2,
     "Subdivisions": [
       {
         "SubdivID": 36,
@@ -12,7 +12,7 @@
         "AvgThickness": 1,
         "CenLatitude": 60.841532,
         "CenLongitude": 10.717878,
-        "Accuracy": null,
+        "Accuracy": 2,
         "Heights": [1]
       },
       {
@@ -21,7 +21,7 @@
         "AvgThickness": 14,
         "CenLatitude": 60.828326,
         "CenLongitude": 10.982563,
-        "Accuracy": null,
+        "Accuracy": 2,
         "Heights": [1, 27]
       },
       {
@@ -30,7 +30,7 @@
         "AvgThickness": 1,
         "CenLatitude": 60.771059,
         "CenLongitude": 10.698341,
-        "Accuracy": null,
+        "Accuracy": 2,
         "Heights": [1]
       },
       {
@@ -39,7 +39,7 @@
         "AvgThickness": 9,
         "CenLatitude": 60.396856,
         "CenLongitude": 11.220933,
-        "Accuracy": null,
+        "Accuracy": 2,
         "Heights": [1, 4, 6, 27, 7]
       }
     ]