from PIL import Image
import os

def debug_image(image_path):
    if not os.path.exists(image_path):
        print(f"Error: {image_path} not found")
        return

    img = Image.open(image_path)
    print(f"Original mode: {img.mode}")
    
    # 模拟 convert_img.py 的处理流程
    if img.mode in ('RGBA', 'LA') or (img.mode == 'P' and 'transparency' in img.info):
        alpha = img.convert('RGBA').split()[-1]
        bg = Image.new("RGBA", img.size, (255, 255, 255, 255))
        bg.paste(img, mask=alpha)
        img = bg
    
    img = img.convert('L')
    img = img.convert('1')
    print(f"Converted mode: {img.mode}")
    
    width, height = img.size
    print(f"Size: {width}x{height}")
    
    zeros = 0
    non_zeros = 0
    values = {}
    
    # 采样一些像素
    for y in range(min(height, 10)):
        row_vals = []
        for x in range(min(width, 10)):
            val = img.getpixel((x, y))
            row_vals.append(str(val))
        print(f"Row {y} first 10 pixels: {', '.join(row_vals)}")
        
    # 统计所有像素
    for y in range(height):
        for x in range(width):
            val = img.getpixel((x, y))
            if val == 0:
                zeros += 1
            else:
                non_zeros += 1
                if val not in values:
                    values[val] = 0
                values[val] += 1
                
    print(f"Total pixels: {width*height}")
    print(f"Zeros (Black?): {zeros}")
    print(f"Non-zeros (White?): {non_zeros}")
    print(f"Non-zero values distribution: {values}")

if __name__ == "__main__":
    # 尝试找一个存在的图片，或者创建一个
    img_path = "test_image.png"
    if not os.path.exists(img_path):
        # 创建一个简单的测试图片
        img = Image.new('RGB', (100, 100), color = 'white')
        # 画个黑框
        from PIL import ImageDraw
        d = ImageDraw.Draw(img)
        d.rectangle([10, 10, 90, 90], outline='black', fill='black')
        img.save("debug_test.png")
        img_path = "debug_test.png"
        print("Created debug_test.png")
        
    debug_image(img_path)