import os from pathlib import Path import json areas = {'ATA_MV', 'BRA_SP', 'CHN_WS', 'ESP_EH', 'FIN_LM', 'GER_BN', 'IDN_SV', 'KAZ_AC', 'KSA_WA', 'NAM_HF', 'NZL_KP', 'PHL_TA', 'USA_GC'} data_path = Path("/home/sabrina/Documents/Tese/05_Dataset/MatchGeo-DEM-v1/data/") print("=" * 80) print("MatchGeo-DEM Directory Size Report") print("=" * 80) print(f"{'City':<12} {'Tiles':>8} {'Merged (MB)':>12} {'Tiles (MB)':>12} {'Total (MB)':>12} {'Total (GB)':>10}") print("-" * 80) total_size = 0 total_tiles = 0 results = {} for location in sorted(areas): loc_path = data_path / location if not loc_path.exists(): print(f"{location:<12} {'N/A':>8} {'N/A':>12} {'N/A':>12} {'N/A':>12} {'N/A':>10}") continue # Count tiles tiles_dir = loc_path / "tiles" n_tiles = 0 tiles_size = 0 if tiles_dir.exists(): for f in tiles_dir.iterdir(): if f.suffix == '.tif': n_tiles += 1 tiles_size += f.stat().st_size # Merged file size merged_file = loc_path / f"{location}.tif" merged_size = merged_file.stat().st_size if merged_file.exists() else 0 # Also check fixed file fixed_file = loc_path / f"{location}.fixed.tif" if fixed_file.exists(): merged_size = max(merged_size, fixed_file.stat().st_size) # Total size city_total = merged_size + tiles_size # Convert to MB/GB merged_mb = merged_size / (1024 * 1024) tiles_mb = tiles_size / (1024 * 1024) total_mb = city_total / (1024 * 1024) total_gb = city_total / (1024 * 1024 * 1024) print(f"{location:<12} {n_tiles:>8} {merged_mb:>12.1f} {tiles_mb:>12.1f} {total_mb:>12.1f} {total_gb:>10.2f}") total_size += city_total total_tiles += n_tiles results[location] = { "n_tiles": n_tiles, "merged_mb": round(merged_mb, 2), "tiles_mb": round(tiles_mb, 2), "total_mb": round(total_mb, 2), "total_gb": round(total_gb, 2) } print("-" * 80) total_mb = total_size / (1024 * 1024) total_gb = total_size / (1024 * 1024 * 1024) print(f"{'TOTAL':<12} {total_tiles:>8} {'---':>12} {'---':>12} {total_mb:>12.1f} {total_gb:>10.2f}") print("=" * 80) # Save to JSON output_path = data_path.parent / "size_report.json" with open(output_path, 'w') as f: json.dump({ "per_city": results, "total_tiles": total_tiles, "total_mb": round(total_mb, 2), "total_gb": round(total_gb, 2) }, f, indent=2) print(f"\n✅ Size report saved to: {output_path}")