| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284 |
- """
- 修复 case JSON 文件中的引号错误
- 常见问题:
- 1. 中文引号("")误用为英文引号
- 2. 字符串值中包含未转义的英文双引号(LLM 生成时常见)
- """
- import json
- import re
- from pathlib import Path
- from typing import Any, Dict, Optional, Tuple
- def fix_chinese_quotes(text: str) -> str:
- """将中文引号替换为英文引号"""
- return text.replace('“', '"').replace('”', '"').replace('‘', "'").replace('’', "'")
- def fix_unescaped_quotes_in_values(text: str) -> str:
- """
- 修复 JSON 字符串值中未转义的双引号。
- 策略:找到 JSON 键值对中的字符串值,将值内部的未转义引号替换为中文引号。
- """
- # 匹配 "key": "value" 中的 value 部分(value 可能包含未转义的引号)
- # 使用逐字符解析来精确处理
- result = []
- i = 0
- in_string = False
- is_value = False # 是否在值的字符串中(而非键)
- colon_seen = False
- while i < len(text):
- c = text[i]
- if not in_string:
- if c == '"':
- in_string = True
- # 判断这是键还是值
- is_value = colon_seen
- if colon_seen:
- colon_seen = False
- result.append(c)
- elif c == ':':
- colon_seen = True
- result.append(c)
- elif c in ('{', '[', ',', '\n', ' ', '\t', '\r'):
- if c in ('{', '[', ','):
- colon_seen = False
- result.append(c)
- else:
- result.append(c)
- else:
- if c == '\\':
- # 转义序列,直接保留
- result.append(c)
- i += 1
- if i < len(text):
- result.append(text[i])
- elif c == '"':
- # 检查是否是字符串结束
- # 向后看:如果后面跟着 ,/}/]/: 或空白+这些字符,则是结束引号
- j = i + 1
- while j < len(text) and text[j] in (' ', '\t', '\r', '\n'):
- j += 1
- next_char = text[j] if j < len(text) else ''
- if next_char in (',', '}', ']', ':') or j >= len(text):
- # 这是字符串结束引号
- in_string = False
- result.append(c)
- else:
- # 这是值内部的未转义引号,替换为中文引号
- if is_value:
- result.append('“') # "
- else:
- result.append(c)
- else:
- result.append(c)
- i += 1
- return ''.join(result)
- def _fix_by_escaping_inner_quotes(text: str) -> str:
- """
- 尝试通过正则找到常见的字符串字段,并将值内部的双引号转义。
- 主要处理中文文本字段,如 title/description/body/effects 等。
- """
- import re
- # 匹配 "key": "value" 结构,允许 value 中包含未转义的引号
- # 这里用一个宽松的模式:从字段开头到行尾/逗号/右括号前
- def repl(match):
- prefix = match.group(1) # "key": "
- value = match.group(2) # value 内容
- suffix = match.group(3) # ", 或 "} 或 "]
- # 将 value 内部未转义的双引号转义
- fixed_value = value.replace('\\"', '__ESCAPED_QUOTE__')
- fixed_value = fixed_value.replace('"', '\\"')
- fixed_value = fixed_value.replace('__ESCAPED_QUOTE__', '\\"')
- return prefix + fixed_value + suffix
- # 处理常见的字符串字段
- patterns = [
- r'("(?:title|description|body|effects|visual_notes|execution_process|core_parameters|why|explanation|步骤描述|ability_description|ability_name|name|cluster_name)"\s*:\s*")([\s\S]*?)("\s*[},\]])',
- ]
- fixed = text
- for pattern in patterns:
- fixed = re.sub(pattern, repl, fixed)
- return fixed
- def _fix_brute_force_escape(text: str) -> str:
- """
- 暴力修复:逐字符扫描,在字符串值内部遇到未转义双引号时,尽量转义。
- 比 `fix_unescaped_quotes_in_values` 更激进。
- """
- result = []
- i = 0
- in_string = False
- escaped = False
- while i < len(text):
- c = text[i]
- if escaped:
- result.append(c)
- escaped = False
- elif c == '\\':
- result.append(c)
- escaped = True
- elif c == '"':
- if not in_string:
- in_string = True
- result.append(c)
- else:
- # 向后看,判断是否可能是字符串结束
- j = i + 1
- while j < len(text) and text[j] in ' \t\r\n':
- j += 1
- next_char = text[j] if j < len(text) else ''
- if next_char in ',}]' or j >= len(text):
- in_string = False
- result.append(c)
- else:
- # 很可能是值内部的引号,转义它
- result.append('\\"')
- else:
- result.append(c)
- i += 1
- return ''.join(result)
- def try_fix_and_parse(content: str) -> Tuple[bool, Any, str]:
- """
- 尝试多种修复策略解析 JSON
- Returns:
- (success, data, fix_description)
- """
- # 策略 1:直接解析
- try:
- return True, json.loads(content), "valid"
- except json.JSONDecodeError:
- pass
- # 策略 2:替换中文引号
- fixed = fix_chinese_quotes(content)
- try:
- return True, json.loads(fixed), "fixed_chinese_quotes"
- except json.JSONDecodeError:
- pass
- # 策略 2.5:优先尝试 json_repair(更强的通用修复)
- try:
- import json_repair
- data = json_repair.repair_json(content, return_objects=True)
- if data:
- return True, data, "fixed_by_json_repair"
- except ImportError:
- pass
- except Exception:
- pass
- # 策略 3:修复值中未转义的引号
- fixed2 = fix_unescaped_quotes_in_values(fixed)
- try:
- return True, json.loads(fixed2), "fixed_unescaped_quotes"
- except json.JSONDecodeError:
- pass
- # 策略 3.5:逐行定位错误并修复
- fixed3 = _fix_by_escaping_inner_quotes(fixed)
- try:
- return True, json.loads(fixed3), "fixed_escaped_inner_quotes"
- except json.JSONDecodeError:
- pass
- # 策略 3.6:暴力替换——把所有看起来像值内部的双引号转义
- fixed4 = _fix_brute_force_escape(content)
- try:
- return True, json.loads(fixed4), "fixed_brute_force"
- except json.JSONDecodeError:
- pass
- return False, None, "unfixable"
- def fix_json_file(file_path: Path, backup: bool = True) -> Dict[str, Any]:
- """修复 JSON 文件"""
- result = {"success": False, "message": "", "fixed": False, "file": str(file_path)}
- try:
- with open(file_path, 'r', encoding='utf-8') as f:
- content = f.read()
- except Exception as e:
- result["message"] = f"File read error: {e}"
- return result
- success, data, fix_desc = try_fix_and_parse(content)
- if success:
- if fix_desc != "valid":
- if backup:
- backup_path = file_path.with_suffix('.json.bak')
- backup_path.write_text(content, encoding='utf-8')
- result["backup"] = str(backup_path)
- with open(file_path, 'w', encoding='utf-8') as f:
- json.dump(data, f, ensure_ascii=False, indent=2)
- result["fixed"] = True
- result["message"] = fix_desc
- else:
- result["message"] = "Already valid JSON"
- result["success"] = True
- else:
- result["message"] = "unfixable"
- return result
- def fix_directory(dir_path: Path, pattern: str = "case_*.json") -> Dict[str, Any]:
- """修复目录下所有匹配的 JSON 文件"""
- results = []
- total = fixed = failed = 0
- for file_path in sorted(dir_path.glob(pattern)):
- total += 1
- result = fix_json_file(file_path, backup=True)
- results.append(result)
- if result["success"]:
- if result["fixed"]:
- fixed += 1
- print(f"[FIXED] {file_path.name}: {result['message']}")
- else:
- print(f"[OK] {file_path.name}")
- else:
- failed += 1
- print(f"[FAILED] {file_path.name}: {result['message']}")
- return {"total": total, "fixed": fixed, "failed": failed, "results": results}
- if __name__ == "__main__":
- import sys
- if len(sys.argv) < 2:
- print("Usage: python fix_json_quotes.py <directory>")
- sys.exit(1)
- dir_path = Path(sys.argv[1])
- print(f"Fixing JSON files in: {dir_path}")
- print("=" * 60)
- summary = fix_directory(dir_path)
- print("=" * 60)
- print(f"Total: {summary['total']}, Fixed: {summary['fixed']}, Failed: {summary['failed']}")
|