Some cleanups

api/GetAverageData.py

@@ -23,7 +23,6 @@ def get_average_of_multiple_years(cursor, years):
     avg_strings = avg_strings[:-2]
 
     query = """SELECT station_id, ROUND(({}) / {}, 1), transparent FROM stations WHERE file IS NULL GROUP BY station_id, transparent ORDER BY station_id ASC;""".format(avg_strings, n)
-    print(query)
     cursor.execute(query)
     return cursor.fetchall()
 
@@ -103,7 +102,6 @@ def filter_neighbours(year, neighbours):
     neighbour_counter = 0
     for neighbour in neighbours:
         if not neighbour[str(year)] == 'NaN':
-            print('jo hier')
             filtered_neighbours.append(neighbour)
             neighbour_counter += 1
             if neighbour_counter == int(param_interpol["amount_neighbours"]):
@@ -118,9 +116,7 @@ def calc_idw(neighbours, years):
     for year in years:
         values = []
         distances = []
-        print(year)
         filtered_neighbours = filter_neighbours(year, neighbours)
-        print(filtered_neighbours)
         for neighbour in filtered_neighbours:
             distances.append(neighbour['distance'])
         for neighbour in filtered_neighbours:
@@ -133,7 +129,6 @@ def calc_idw(neighbours, years):
         except ZeroDivisionError:
             # print('No Data (NaN in DB)')
             pass
-    print('lief?')
     return weighted_values
 
 
@@ -145,7 +140,6 @@ def get_interpolation_data_for_point(lat, lon, columns, cursor):
         year_columns = (str(columns).replace("""SQL('""", "").replace('"', '').replace("')", "")).split(',')
     neighbours = get_neighbours(cursor, lat, lon, columns)
     avg_data = calc_idw(neighbours, year_columns)
-    # print(avg_data)
     return avg_data
 
 

api/api.py

@@ -91,7 +91,6 @@ def get_raster():
     """
     if 'ramp' in request.args:
         ramp = json.loads(request.args['ramp'])
-        print(ramp)
         if 'years' in request.args:
             years = request.args['years'].split('-')
             if int(years[1]) < int(years[0]):