"""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"""
import uuid
from datetime import datetime
from sqlalchemy import Column, String, Text, DateTime, JSON, Float, Integer, Boolean
from app.core.database import Base


class ShadowComparison(Base):
    """影子模式对比记录"""
    __tablename__ = "shadow_comparisons"

    id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
    user_id = Column(String(36), nullable=False, index=True)
    category = Column(String(30), nullable=False, comment="场景: code_review/email/document/decision")

    # 影子建议
    shadow_suggestion = Column(JSON, nullable=True, comment="数字分身生成的建议")
    shadow_confidence = Column(Float, default=0.5, comment="影子置信度")

    # 用户实际决策
    user_decision = Column(JSON, nullable=True, comment="用户实际操作")
    user_action = Column(String(50), nullable=True, comment="action: accept/modify/reject/ignore")

    # 对比结果
    match_score = Column(Float, nullable=True, comment="匹配分数(0-1)")
    match_detail = Column(JSON, nullable=True, comment="匹配详情: {matched_points, diverged_points}")

    # 上下文
    context = Column(JSON, nullable=True, comment="触发场景上下文")
    source_execution_id = Column(String(36), nullable=True, comment="关联执行日志ID")

    created_at = Column(DateTime, default=datetime.now)

    def __repr__(self):
        return f"<ShadowComparison(user={self.user_id}, match={self.match_score})>"