zk
62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
"""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
|
|
|
|
from langchain_core.output_parsers import JsonOutputParser
|
|
from langchain_core.prompts import ChatPromptTemplate
|
|
|
|
from app.ai.models import LLM
|
|
from app.ai.resume_extractor.prompts import (
|
|
PROFILE_PROMPT, EDUCATION_PROMPT, WORK_PROMPT,
|
|
PROJECT_PROMPT, COMPETITION_PROMPT,
|
|
)
|
|
from app.core.logger import log
|
|
|
|
|
|
def _build_chain(prompt: str):
|
|
"""构建单个提取链：prompt → LLM → JSON解析"""
|
|
return (
|
|
ChatPromptTemplate.from_messages([("system", prompt), ("human", "{text}")])
|
|
| LLM.CLAUDE_SONNET_4.create(temperature=0)
|
|
| JsonOutputParser()
|
|
)
|
|
|
|
|
|
# 5 条独立的提取链
|
|
_profile_chain = _build_chain(PROFILE_PROMPT)
|
|
_education_chain = _build_chain(EDUCATION_PROMPT)
|
|
_work_chain = _build_chain(WORK_PROMPT)
|
|
_project_chain = _build_chain(PROJECT_PROMPT)
|
|
_competition_chain = _build_chain(COMPETITION_PROMPT)
|
|
|
|
|
|
async def extract_all(text: str) -> dict:
|
|
"""asyncio.gather 并行提取简历所有模块，返回合并后的结构化数据"""
|
|
log.info("开始5路并行AI提取")
|
|
inp = {"text": text}
|
|
|
|
profile, education, work_intern, project, competition = await asyncio.gather(
|
|
_safe_invoke(_profile_chain, inp, "个人信息"),
|
|
_safe_invoke(_education_chain, inp, "教育经历"),
|
|
_safe_invoke(_work_chain, inp, "工作+实习经历"),
|
|
_safe_invoke(_project_chain, inp, "项目经历"),
|
|
_safe_invoke(_competition_chain, inp, "竞赛经历"),
|
|
)
|
|
|
|
result = profile if isinstance(profile, dict) else {}
|
|
result["education"] = education if isinstance(education, list) else []
|
|
result["work"] = work_intern.get("work", []) if isinstance(work_intern, dict) else []
|
|
result["internship"] = work_intern.get("internship", []) if isinstance(work_intern, dict) else []
|
|
result["project"] = project if isinstance(project, list) else []
|
|
result["competition"] = competition if isinstance(competition, list) else []
|
|
return result
|
|
|
|
|
|
async def _safe_invoke(chain, inp: dict, label: str):
|
|
"""单个链调用，失败返回空"""
|
|
try:
|
|
return await chain.ainvoke(inp)
|
|
except Exception as e:
|
|
log.warning(f"AI提取[{label}]失败: {e}")
|
|
return {} if "个人信息" in label else []
|