zk
33 lines
2.5 KiB
Python
33 lines
2.5 KiB
Python
"""简历诊断问题表（bg_resume_diagnosis_issue）"""
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import BigInteger, Integer, String, Text, DateTime, JSON
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.database import Base
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class ResumeDiagnosisIssue(Base):
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"""简历诊断问题表 bg_resume_diagnosis_issue"""
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__tablename__ = "bg_resume_diagnosis_issue"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
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report_id: Mapped[int] = mapped_column(BigInteger, nullable=False, comment="关联report.id")
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resume_id: Mapped[int] = mapped_column(BigInteger, nullable=False, comment="关联bg_user_resume.id")
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user_id: Mapped[int] = mapped_column(BigInteger, nullable=False, comment="用户ID")
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module_type: Mapped[str] = mapped_column(String(32), nullable=False, comment="模块类型: summary/education/work/internship/project/competition")
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module_record_id: Mapped[int] = mapped_column(BigInteger, nullable=False, comment="模块记录ID，summary时为resume_id")
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finding: Mapped[Optional[str]] = mapped_column(Text, nullable=True, comment="诊断发现")
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importance: Mapped[Optional[str]] = mapped_column(Text, nullable=True, comment="为什么重要")
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suggestion: Mapped[Optional[str]] = mapped_column(Text, nullable=True, comment="改进建议")
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urgent_issues: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True, comment='紧急修复子类型计数 {"typo": 0}')
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important_issues: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True, comment='重点优化子类型计数 {"no_result": 0, "no_quantify": 0, "weak_relevance": 0}')
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expression_issues: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True, comment='表达提升子类型计数 {"not_concise": 0, "format_inconsistent": 0}')
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optimized_content: Mapped[Optional[list | str]] = mapped_column(JSON, nullable=True, comment="AI改写后的内容，子表模块与原description格式一致[{id,text}]保持原id只改写text，summary模块为纯文本字符串")
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status: Mapped[int] = mapped_column(Integer, default=0, comment="0=待处理 1=已处理")
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user_feedback: Mapped[int] = mapped_column(Integer, default=0, comment="0=未评价 1=符合 2=不符合")
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create_time: Mapped[datetime] = mapped_column(DateTime, default=datetime.now, comment="创建时间")
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update_time: Mapped[datetime] = mapped_column(DateTime, default=datetime.now, onupdate=datetime.now, comment="更新时间")
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