metaverseDubai/scripts/import_osm_data.py

#!/usr/bin/env python3
"""
Dubai Metaverse - OpenStreetMap Data Import Script
Imports OpenStreetMap data for Dubai Marina and converts to Unreal-compatible format
"""

import os
import sys
import json
import argparse
from typing import List, Dict, Tuple

try:
    import overpy
    import geojson
except ImportError:
    print("Error: Required packages not installed.")
    print("Install with: pip install overpy geojson")
    sys.exit(1)


def get_marina_buildings(api: overpy.Overpass) -> List[Dict]:
    """
    Query OpenStreetMap for buildings in Dubai Marina area.
    
    Note: Coordinates should be adjusted based on actual Dubai Marina location.
    """
    # Dubai Marina approximate bounding box
    # These coordinates should be verified and adjusted
    query = """
    [out:json][timeout:25];
    (
      way["building"](25.0750,55.1350,25.0850,55.1450);
    );
    out geom;
    """
    
    try:
        result = api.query(query)
        buildings = []
        
        for way in result.ways:
            building = {
                'id': way.id,
                'nodes': [(node.lat, node.lon) for node in way.nodes],
                'tags': way.tags
            }
            buildings.append(building)
        
        return buildings
    except Exception as e:
        print(f"Error querying OpenStreetMap: {e}")
        return []


def buildings_to_geojson(buildings: List[Dict], output_file: str):
    """Convert buildings to GeoJSON format."""
    features = []
    
    for building in buildings:
        # Create polygon from nodes
        coordinates = [[node[1], node[0]] for node in building['nodes']]  # GeoJSON uses [lon, lat]
        coordinates.append(coordinates[0])  # Close polygon
        
        feature = {
            'type': 'Feature',
            'geometry': {
                'type': 'Polygon',
                'coordinates': [coordinates]
            },
            'properties': {
                'id': building['id'],
                'tags': building['tags']
            }
        }
        features.append(feature)
    
    geojson_data = {
        'type': 'FeatureCollection',
        'features': features
    }
    
    with open(output_file, 'w') as f:
        json.dump(geojson_data, f, indent=2)
    
    print(f"✓ Exported {len(features)} buildings to {output_file}")


def main():
    parser = argparse.ArgumentParser(description='Import OpenStreetMap data for Dubai Marina')
    parser.add_argument('--output', '-o', default='data/processed/dubai_marina_buildings.geojson',
                       help='Output GeoJSON file path')
    parser.add_argument('--area', help='Custom bounding box (lat1,lon1,lat2,lon2)')
    
    args = parser.parse_args()
    
    # Create output directory if it doesn't exist
    os.makedirs(os.path.dirname(args.output), exist_ok=True)
    
    print("==========================================")
    print("Dubai Metaverse - OSM Data Import")
    print("==========================================")
    print("")
    print("Connecting to OpenStreetMap API...")
    
    api = overpy.Overpass()
    
    print("Querying Dubai Marina buildings...")
    buildings = get_marina_buildings(api)
    
    if not buildings:
        print("⚠ No buildings found. Check coordinates and query.")
        return
    
    print(f"Found {len(buildings)} buildings")
    print("")
    print("Converting to GeoJSON...")
    buildings_to_geojson(buildings, args.output)
    
    print("")
    print("==========================================")
    print("Import Complete")
    print("==========================================")
    print("")
    print("Next steps:")
    print("1. Review GeoJSON file in GIS software (QGIS)")
    print("2. Import to Unreal Engine using GIS import tools")
    print("3. Generate building meshes from footprints")
    print("")


if __name__ == '__main__':
    main()