import json
import difflib
def highlight_diff(a, b):
"""生成红色高亮 HTML，红底=不同部分"""
matcher = difflib.SequenceMatcher(None, a, b)
html_a, html_b = [], []
for tag, i1, i2, j1, j2 in matcher.get_opcodes():
if tag == 'equal':
html_a.append(a[i1:i2])
html_b.append(b[j1:j2])
elif tag == 'replace' or tag == 'delete':
html_a.append(f'{a[i1:i2]}')
elif tag == 'insert':
html_b.append(f'{b[j1:j2]}')
return ''.join(html_a), ''.join(html_b)
def generate_html(data, output_path="ocr_diff_viewer.html"):
"""生成带翻页功能的HTML"""
html_items = []
for i, item in enumerate(data):
# 修改这里
text = item.get("tiny_shuffled_content", "")
ocr = item.get("tiny_shuffled_content_ocr", "").replace("\n", "").replace(" ", "")
html_text, html_ocr = highlight_diff(text, ocr)
html_items.append(f"""
""")
html_content = f"""
OCR Diff Viewer
📘 OCR 文本差异可视化
{"".join(html_items)}
"""
with open(output_path, "w", encoding="utf-8") as f:
f.write(html_content)
print(f"✅ 可视化结果已保存到 {output_path}")
if __name__ == "__main__":
# 示例：加载 JSON 文件
input_path = "/vol/zhaoy/ds-ocr/data/CCI3-Data/sample10_len1.0-1.2k/merged_ocr.json" # 你自己的路径
with open(input_path, "r", encoding="utf-8") as f:
data = json.load(f)
generate_html(data, "ocr_diff_viewer.html")