update: var names and add unit test folder

server/map_handler/add_new_lake.py

@@ -98,7 +98,7 @@ def cut_map(self, cursor, lake_name: str, cell_size_in_km: float = 0.5):
             'features': features
         }
 
-        # Add lake name to database
+        # Check if the name exists in the database
         cursor.execute('''
             SELECT Name FROM BodyOfWater WHERE Name = ?;
         ''', (lake_name,))
@@ -195,8 +195,8 @@ def write_json_to_file(lake_name: str, map_data: dict):
 
 
 # Plotting the map can take a considerable amount of time, especially when creating maps with many
-# subdivisions. Removing calls to plot_map will speed up the process, but it is recommended to plot the map
-# after each division to ensure that the map was divided as intended.
+# subdivisions. Removing calls to plot_map will speed up the process, but it is highly recommended
+# to plot the map after each division to ensure that the map was divided as intended.
 def plot_map(divided_map):
     """
     Plots a divided map using matplotlib.

server/map_handler/unit_tests/test_add_new_lake.py

+from server.map_handler.add_new_lake import create_grid
+
+#def tes_create_grid_default():
+    #grid = create_grid(0.2, 0.3)
+    #assert
\ No newline at end of file

server/map_handler/update_measurements.py

@@ -55,9 +55,6 @@ def update_measurements(self, lake_name: str):
                     avg_thickness = sub_division['AvgThickness']
 
                     # 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))
 
                     # Ice statistics were retrieved successfully
@@ -169,9 +166,6 @@ def fill_remaining_subdivisions(lake_name: str, processed_ids: list):
                 center_lng = round(sub_div['properties']['sub_div_center'][1], 4)
 
                 # 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_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))
 
                 if len(ice_stats) > 0 and len(ice_stats[0]) > 0: