scripts/0_process_stories.py

import json
import os
import random
import re
from tiny_shuffle import random_swap_contiguous # type: ignore

def shuffle_words_and_punct(text: str) -> str:
    """
    随机打乱英文文本中的单词和标点顺序。
    保留标点作为独立token。
    """
    # 用正则提取单词和标点
    tokens = re.findall(r"[A-Za-z0-9]+|[^\w\s]", text)
    if not tokens:
        return text

    shuffled = tokens[:]
    random.shuffle(shuffled)

    # 重新拼接成句子
    # 逻辑：若下一个是标点，则不加空格；否则加空格
    result = ""
    for i, tok in enumerate(shuffled):
        if i > 0 and not re.match(r"[^\w\s]", tok):  # 不是标点才加空格
            result += " "
        result += tok

    return result

file_path = "/vol/zhaoy/ds-ocr/data/Stories_en/data/Children-Stories-0-Final.json"
save_path = f"/vol/zhaoy/ds-ocr/data/Stories_en/sample200_len0.8-1.2k/input.json"

# 1. 读取 jsonl 文件
with open(file_path, "r", encoding="utf-8") as f:
    data_o = json.load(f)

    new_data = []
    i = 0
    while i < len(data_o):
        # 若只剩最后一条，直接保存
        if i == len(data_o) - 1:
            item = {
                "text": data_o[i]["text"],
                "text_token_length": len(data_o[i]["text"].split())
            }
            new_data.append(item)
            break

        # 合并相邻两条
        text1 = data_o[i]["text"].strip()
        text2 = data_o[i + 1]["text"].strip()
        merged_text = text1 + " " + text2

        item = {
            "text": merged_text,
            "text_length": len(merged_text.split())
        }
        new_data.append(item)
        i += 2  # 跳过两条

# 2. 筛选满足条件的样本
filtered = [
    item for item in new_data
    if 800 <= item["text_length"] <= 1200
]
print(f"✅ 满足条件的样本数: {len(filtered)}")

# 3. 随机抽取 x 条
sampled = random.sample(filtered, min(10, len(filtered)))

# 4. 组织格式
processed = []
os.makedirs("images", exist_ok=True)

for i, item in enumerate(sampled, 1):
    sample_id = f"RS{i:03d}"
    image_path = f"images/{sample_id}.png"
    content = item.get("text", "") or item.get("content", "")
    content = content.replace("\n", "")

    tiny_shuffled_content, spans = random_swap_contiguous(content, n_swaps=1)
    shuffled_content = shuffle_words_and_punct(content)

    processed.append({
        "id": sample_id,
        "image_path": image_path,
        "content": content,
        "tiny_shuffled_content": tiny_shuffled_content,
        "spans": spans,
        "shuffled_content": shuffled_content
    })

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

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