import argparse
from datetime import timedelta
from odm_preprocess import PreprocessConfig, ImagePreprocessor

def parse_args():
    parser = argparse.ArgumentParser(description='ODM预处理工具')
    
    # 必需参数
    parser.add_argument('--image_dir', required=True, help='输入图片目录路径')
    parser.add_argument('--output_dir', required=True, help='输出目录路径')
    
    # 可选参数
    parser.add_argument('--mode', default='重建模式', choices=['快拼模式', '三维模式', '重建模式'], help='处理模式')
    parser.add_argument('--grid_size', type=float, default=1000, help='网格大小(米)')
    parser.add_argument('--grid_overlap', type=float, default=0.05, help='网格重叠率')
    parser.add_argument('--produce_dem', action='store_true', help='是否生成DEM')
    
    args = parser.parse_args()
    return args

def main():
    args = parse_args()
    
    # 创建配置
    config = PreprocessConfig(
        image_dir=args.image_dir,
        output_dir=args.output_dir,
        mode=args.mode,
        grid_size=args.grid_size,
        grid_overlap=args.grid_overlap,
        produce_dem=args.produce_dem,
        
        # 其他参数使用默认值
        cluster_eps=0.01,
        cluster_min_samples=5,
        time_group_overlap_threshold=0.7,
        time_group_interval=timedelta(minutes=5),
        filter_distance_threshold=0.001,
        filter_min_neighbors=6,
        filter_grid_size=0.001,
        filter_dense_distance_threshold=10,
        filter_time_threshold=timedelta(minutes=5),
    )
    
    # 创建处理器并执行
    processor = ImagePreprocessor(config)
    processor.process()

if __name__ == '__main__':
    main()