53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import re
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# 读取原始文件
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with open('src/data/expertSupportData.js', 'r', encoding='utf-8') as f:
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content = f.read()
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# 提取JSON部分（去掉JavaScript变量声明和结尾）
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json_start = content.index('{')
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json_end = content.rfind('}') + 1
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json_content = content[json_start:json_end]
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# 解析JSON
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data = json.loads(json_content)
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# 递归处理所有字符串值
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def clean_text(obj):
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if isinstance(obj, str):
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# 处理转义的双引号 \" -> "
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obj = obj.replace('\\"', '"')
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# 处理转义的换行符 \\n -> \n (保留真正的换行)
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obj = obj.replace('\\n', '\n')
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return obj
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elif isinstance(obj, dict):
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return {k: clean_text(v) for k, v in obj.items()}
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elif isinstance(obj, list):
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return [clean_text(item) for item in obj]
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else:
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return obj
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# 清理数据
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cleaned_data = clean_text(data)
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# 生成新的JavaScript文件内容
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output = """// 从化工问答内容.json转换的专家支持中心数据
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const expertSupportData = """ + json.dumps(cleaned_data, ensure_ascii=False, indent=2) + """;
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export default expertSupportData;
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"""
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# 写入新文件
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with open('src/data/expertSupportData_cleaned.js', 'w', encoding='utf-8') as f:
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f.write(output)
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print("数据清理完成！已生成 expertSupportData_cleaned.js")
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print("\n示例内容修复:")
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print("原始: 废水处理厂为什么要建\\\"调节池\\\"？")
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print("修复后: 废水处理厂为什么要建\"调节池\"？")
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print("\n原始: PLC：响应速度快...\\nDCS：更擅长连续过程控制...")
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print("修复后: PLC：响应速度快...\nDCS：更擅长连续过程控制...")
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