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| import json | |
| import os | |
| # Define the file path | |
| file_path = os.path.join('given_data', 'smasvaedi_2021.json') | |
| # Load the JSON data | |
| with open(file_path, 'r', encoding='utf-8') as file: | |
| data = json.load(file) | |
| def get_smallAreas(): | |
| ''' | |
| Returns a list of dict of format {"id": smsv_id, "geometry": [(long, lat), ...]} | |
| for all smsv in in Höfuðborgarsvæði. | |
| ''' | |
| # Extract smsv IDs and geometries for Höfuðborgarsvæði | |
| hofudborgarsvaedi_areas = [] | |
| for feature in data['features']: | |
| if feature['properties'].get('nuts3_label') == "Höfuðborgarsvæði": | |
| smsv = feature['properties'].get('smsv') | |
| raw_geometry = feature['geometry'] | |
| if smsv and raw_geometry: | |
| # Extract coordinates and convert to list of tuples | |
| processed_geometry = [] | |
| for polygon in raw_geometry['coordinates']: | |
| # for ring in polygon: # Each "ring" of the MultiPolygon | |
| # processed_geometry.append([(x, y) for x, y in ring]) | |
| processed_geometry = [(x, y) for x, y in polygon[0]] | |
| hofudborgarsvaedi_areas.append({"id": smsv, "geometry": processed_geometry}) | |
| ids = [area["id"] for area in hofudborgarsvaedi_areas] | |
| if len(ids) != len(set(ids)): | |
| duplicates = [smsv for smsv in ids if ids.count(smsv) > 1] | |
| raise ValueError(f"Duplicate IDs found: {set(duplicates)}") | |
| return hofudborgarsvaedi_areas | |