import os
import json
from PIL import Image
from pathlib import Path

def yolo_to_xyxy(bbox, img_width, img_height):
    """
    将 YOLO 格式 (center_x, center_y, width, height) 转换为 xyxy 格式
    坐标是归一化的，需要转换为绝对坐标
    """
    center_x, center_y, width, height = bbox
    x1 = (center_x - width / 2) * img_width
    y1 = (center_y - height / 2) * img_height
    x2 = (center_x + width / 2) * img_width
    y2 = (center_y + height / 2) * img_height
    return [int(x1), int(y1), int(x2), int(y2)]

def process_folder(category_path, category_name, output_file):
    """
    处理单个类别文件夹
    """
    images_dir = category_path / "images"
    labels_dir = category_path / "labels_yolo"
    
    if not images_dir.exists() or not labels_dir.exists():
        print(f"警告: {category_path} 中缺少 images 或 labels_yolo 文件夹")
        return 0, 0
    
    # 获取所有图片文件（支持更多格式）
    image_files = []
    for ext in ['*.jpg', '*.jpeg', '*.png', '*.bmp', '*.tif', '*.tiff', '*.JPG', '*.PNG', '*.TIF', '*.TIFF']:
        image_files.extend(images_dir.glob(ext))
    
    processed_count = 0
    total_bboxes = 0
    
    for img_path in image_files:
        # 获取对应的标签文件
        label_file = labels_dir / f"{img_path.stem}.txt"
        if not label_file.exists():
            continue
        
        # 获取图片尺寸
        try:
            with Image.open(img_path) as img:
                img_width, img_height = img.size
        except Exception as e:
            print(f"错误: 无法读取图片 {img_path}, {e}")
            continue
        
        # 读取标签文件
        bboxes = []
        with open(label_file, 'r') as f:
            for line in f:
                line = line.strip()
                if not line:
                    continue
                parts = line.split()
                if len(parts) != 5:
                    continue
                
                class_id = int(parts[0])
                center_x = float(parts[1])
                center_y = float(parts[2])
                width = float(parts[3])
                height = float(parts[4])
                
                # 转换为 xyxy 格式
                xyxy = yolo_to_xyxy([center_x, center_y, width, height], img_width, img_height)
                
                bboxes.append({
                    "bbox": xyxy,  # [x1, y1, x2, y2]
                    "category": category_name,
                    "class_id": class_id
                })
        
        # 构造 JSONL 行
        json_line = {
            "image": str(img_path.absolute()),
            "image_path": str(img_path),
            "width": img_width,
            "height": img_height,
            "bboxes": bboxes
        }
        
        # 写入输出文件
        output_file.write(json.dumps(json_line, ensure_ascii=False) + '\n')
        processed_count += 1
        total_bboxes += len(bboxes)
    
    return processed_count, total_bboxes

def main():
    # 当前目录
    base_dir = Path("/home/disk2/hjl/ICL_QWEN/ICL_benchmark")
    
    # 需要处理的文件夹（排除 dinov3 开头的）
    exclude_prefixes = ["dinov3"]
    
    # 输出文件
    output_path = base_dir / "dataset.jsonl"
    
    total_images = 0
    total_bboxes_all = 0
    
    with open(output_path, 'w', encoding='utf-8') as outfile:
        # 遍历所有文件夹
        for item in base_dir.iterdir():
            if not item.is_dir():
                continue
            
            # 检查是否需要排除
            should_exclude = False
            for prefix in exclude_prefixes:
                if item.name.startswith(prefix):
                    should_exclude = True
                    break
            
            if should_exclude:
                print(f"跳过文件夹: {item.name}")
                continue
            
            # 处理该类别文件夹
            print(f"处理类别: {item.name}", end=' ', flush=True)
            processed, bboxes = process_folder(item, item.name, outfile)
            print(f"完成 - 处理了 {processed} 张图片, {bboxes} 个标注")
            
            total_images += processed
            total_bboxes_all += bboxes
    
    print(f"\n{'='*50}")
    print(f"转换完成！")
    print(f"总图片数: {total_images}")
    print(f"总标注数: {total_bboxes_all}")
    print(f"输出文件: {output_path}")

if __name__ == "__main__":
    main()