抽象json提取风格

app/ai/resume_extractor/extractor.py

@@ -1,9 +1,7 @@
 """简历并行提取：将完整简历文本拆分为5个AI任务并行提取"""
 
 import asyncio
-import re
 
-from json_repair import repair_json
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 
@@ -13,13 +11,7 @@ from app.ai.resume_extractor.prompts import (
     PROJECT_PROMPT, COMPETITION_PROMPT,
 )
 from app.core.logger import log
-
-
-def _parse_json(text: str) -> dict:
-    """解析 AI 输出的 JSON，自动去除 markdown 代码块包裹，容错处理"""
-    cleaned = re.sub(r"^```(?:json)?\s*\n?", "", text.strip())
-    cleaned = re.sub(r"\n?```\s*$", "", cleaned)
-    return repair_json(cleaned, return_objects=True)
+from app.tool.json_helper import parse_llm_json
 
 
 def _build_chain(prompt: str):
@@ -65,7 +57,7 @@ async def _safe_invoke(chain, inp: dict, label: str):
     """单个链调用，失败返回空"""
     try:
         raw = await chain.ainvoke(inp)
-        return _parse_json(raw)
+        return parse_llm_json(raw)
     except Exception as e:
         log.warning(f"AI提取[{label}]失败: {e}")
         return {} if "个人信息" in label else []