import random
import json
import os



def load_vocab_zh():
    COMMON_CHARS = ""
    with open("/vol/zhaoy/ds-ocr/scripts/zh_level1_3500.txt", "r", encoding="utf-8") as f:
        for line in f:
            parts = line.strip().split('\t')
            if len(parts) >= 2:  # 保证至少有编号和汉字
                char = parts[1]
                # 只保留真正的汉字（防止空行或错误字符）
                if '\u4e00' <= char <= '\u9fff':
                    COMMON_CHARS += char
    # print(f"✅ 共读取 {len(COMMON_CHARS)} 个汉字。")
    # print(COMMON_CHARS[:50])
    return COMMON_CHARS

def random_common_chinese(COMMON_CHARS, length):
    return ''.join(random.choice(COMMON_CHARS) for _ in range(length))

def generate_dataset(num_samples, save_path):
    """生成多个样本并保存为 JSON"""
    data = []
    os.makedirs("images", exist_ok=True)

    for i in range(1, num_samples + 1):
        sample_id = f"RS{i:03d}"
        length = 2000  # 长度

        COMMON_CHARS = load_vocab_zh()
        content = random_common_chinese(COMMON_CHARS, length)
        image_path = f"images/{sample_id}.png"  # 可后续生成图片时用

        data.append({
            "id": sample_id,
            "image_path": image_path,
            "content": content
        })

    # 保存为 JSON 文件
    with open(save_path, "w", encoding="utf-8") as f:
        json.dump(data, f, ensure_ascii=False, indent=2)

    print(f"✅ 已生成 {num_samples} 条样本，保存至：{save_path}")


if __name__ == "__main__":
    save_path = "/vol/zhaoy/ds-ocr/data/rand_zh_2k/meta.json"
    generate_dataset(10, save_path)  # 样本数量