# -*- coding: utf-8 -*-
"""
切割漫画格子图片
"""
import sys
import json
import cv2
import numpy as np
from pathlib import Path

# Windows编码修复
if sys.platform == 'win32':
    import io
    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')

def cut_panels(image_path, panels_json_path, output_dir):
    """
    切割漫画格子图片
    
    参数:
        image_path: 原始图片路径
        panels_json_path: 格子信息JSON文件路径
        output_dir: 输出目录
    """
    image_path = Path(image_path)
    panels_json_path = Path(panels_json_path)
    output_dir = Path(output_dir)
    output_dir.mkdir(parents=True, exist_ok=True)
    
    # 读取原始图片
    print(f"📖 读取原始图片: {image_path.name}")
    img_array = np.fromfile(str(image_path), dtype=np.uint8)
    img = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
    
    if img is None:
        raise ValueError(f"无法读取图片: {image_path}")
    
    img_height, img_width = img.shape[:2]
    print(f"[INFO] 图片尺寸: {img_width}x{img_height}")
    
    # 读取格子信息
    print(f"📋 读取格子信息: {panels_json_path.name}")
    with open(panels_json_path, 'r', encoding='utf-8') as f:
        panels_data = json.load(f)
    
    panels = panels_data.get('panels', [])
    if len(panels) == 0:
        raise ValueError("未找到任何格子信息")
    
    print(f"[INFO] 找到 {len(panels)} 个格子")
    
    # 按照从右到左、从上到下的顺序排序格子
    sorted_panels = sorted(panels, key=lambda p: (p['center_y'], -p['center_x']))
    
    # 切割每个格子
    for idx, panel in enumerate(sorted_panels, 1):
        x = max(0, int(panel['x']))
        y = max(0, int(panel['y']))
        w = min(int(panel['width']), img_width - x)
        h = min(int(panel['height']), img_height - y)
        
        if w <= 0 or h <= 0:
            print(f"[WARN] 跳过无效格子 {idx}: x={x}, y={y}, w={w}, h={h}")
            continue
        
        # 切割格子区域
        panel_img = img[y:y+h, x:x+w]
        
        # 保存切割后的图片
        output_filename = f"check{idx}.png"
        output_path = output_dir / output_filename
        
        # 使用cv2.imencode处理中文路径
        success, encoded_img = cv2.imencode('.png', panel_img)
        if success:
            encoded_img.tofile(str(output_path))
            print(f"  [{idx}/{len(sorted_panels)}] 已保存: {output_filename} ({w}x{h})")
        else:
            print(f"[ERROR] 保存失败: {output_filename}")
    
    print(f"\n✅ 切割完成，共 {len(sorted_panels)} 个格子")

if __name__ == '__main__':
    if len(sys.argv) < 4:
        print("用法: python cut_panels.py <原始图片路径> <格子信息JSON路径> <输出目录>")
        sys.exit(1)
    
    image_path = sys.argv[1]
    panels_json_path = sys.argv[2]
    output_dir = sys.argv[3]
    
    try:
        cut_panels(image_path, panels_json_path, output_dir)
    except Exception as e:
        print(f"[ERROR] 切割失败: {e}")
        import traceback
        traceback.print_exc()
        sys.exit(1)