zk
63 lines
2.7 KiB
Python
63 lines
2.7 KiB
Python
"""求职助手 Agent 对话 Service
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主要功能：查询简历数据，调用 AI 模块完成对话。
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依赖：resume_loader（简历统一查询）、job_agent.chat AI 模块
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使用表：bg_user_resume + 5张子表（通过 resume_loader 查询）
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"""
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.ai.job_agent.chat import agent_chat
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from app.services.resume_loader import ResumeDetail, load_resume_detail
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class JobAgentChatService:
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def __init__(self, session: AsyncSession):
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self.session = session
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async def chat(self, user_id: int, resume_id: int, message: str,
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history: list[dict], job_categories: list[str],
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regions: list[str], industries: list[str]) -> dict:
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"""求职助手对话：查简历 → 序列化 → 调 AI 模块"""
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detail = await load_resume_detail(self.session, resume_id, user_id)
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resume_text = self._build_resume_text(detail)
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return await agent_chat(resume_text, message, history, job_categories, regions, industries)
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@staticmethod
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def _build_resume_text(detail: ResumeDetail) -> str:
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"""将简历数据序列化为文本供 AI 使用"""
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resume = detail.resume
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parts = []
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if resume.name:
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parts.append(f"姓名：{resume.name}")
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if resume.target_position:
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parts.append(f"目标岗位：{resume.target_position}")
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if resume.skills:
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parts.append(f"技能：{'、'.join(resume.skills)}")
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if resume.certificates:
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parts.append(f"证书：{'、'.join(resume.certificates)}")
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if resume.summary:
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parts.append(f"个人概述：{resume.summary}")
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if detail.education:
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parts.append("教育经历：")
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for r in detail.education:
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parts.append(f" - {r.school or ''} {r.major or ''} {r.degree or ''}")
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if detail.work:
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parts.append("工作经历：")
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for r in detail.work:
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parts.append(f" - {r.company_name or ''} {r.position or ''}")
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if detail.internship:
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parts.append("实习经历：")
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for r in detail.internship:
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parts.append(f" - {r.company_name or ''} {r.position or ''}")
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if detail.project:
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parts.append("项目经历：")
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for r in detail.project:
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parts.append(f" - {r.project_name or ''} {r.role or ''}")
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if detail.competition:
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parts.append("竞赛经历：")
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for r in detail.competition:
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parts.append(f" - {r.competition_name or ''} {r.award or ''}")
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return "\n".join(parts) if parts else "暂无简历信息"
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