36 lines
1.5 KiB
Python
36 lines
1.5 KiB
Python
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"""影子模式对比记录模型 — 比较数字分身建议与人类实际决策"""
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import uuid
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from datetime import datetime
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from sqlalchemy import Column, String, Text, DateTime, JSON, Float, Integer, Boolean
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from app.core.database import Base
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class ShadowComparison(Base):
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"""影子模式对比记录"""
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__tablename__ = "shadow_comparisons"
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id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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user_id = Column(String(36), nullable=False, index=True)
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category = Column(String(30), nullable=False, comment="场景: code_review/email/document/decision")
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# 影子建议
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shadow_suggestion = Column(JSON, nullable=True, comment="数字分身生成的建议")
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shadow_confidence = Column(Float, default=0.5, comment="影子置信度")
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# 用户实际决策
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user_decision = Column(JSON, nullable=True, comment="用户实际操作")
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user_action = Column(String(50), nullable=True, comment="action: accept/modify/reject/ignore")
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# 对比结果
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match_score = Column(Float, nullable=True, comment="匹配分数(0-1)")
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match_detail = Column(JSON, nullable=True, comment="匹配详情: {matched_points, diverged_points}")
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# 上下文
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context = Column(JSON, nullable=True, comment="触发场景上下文")
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source_execution_id = Column(String(36), nullable=True, comment="关联执行日志ID")
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created_at = Column(DateTime, default=datetime.now)
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def __repr__(self):
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return f"<ShadowComparison(user={self.user_id}, match={self.match_score})>"
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