"""用户反馈记录模型 — 采集点踩/修改/驳回等反馈信号"""
import uuid
from datetime import datetime
from sqlalchemy import Column, String, Text, DateTime, JSON, Float, Integer, Boolean
from app.core.database import Base


class FeedbackRecord(Base):
    """用户反馈记录"""
    __tablename__ = "feedback_records"

    id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
    user_id = Column(String(36), nullable=False, index=True)

    # 反馈信号
    signal_type = Column(String(30), nullable=False, comment="thumbs_down/manual_edit/retry_command/reject_approval")
    severity = Column(Float, default=0.5, comment="严重程度(0-1)")

    # 关联上下文
    execution_log_id = Column(String(36), nullable=True, index=True)
    agent_name = Column(String(200), nullable=True)
    task_id = Column(String(36), nullable=True)

    # 原始内容
    original_output = Column(Text, nullable=True, comment="被否定的Agent输出")
    user_correction = Column(Text, nullable=True, comment="用户修正后的内容")

    # 反馈详情
    feedback_context = Column(JSON, nullable=True, comment="反馈上下文: {user_message, reason, ...}")
    improvement_suggestion = Column(Text, nullable=True, comment="LLM生成的改进建议")

    # 学习状态
    learned = Column(Boolean, default=False, comment="是否已学习")
    lesson_summary = Column(Text, nullable=True, comment="学习后的教训总结")

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

    def __repr__(self):
        return f"<FeedbackRecord(user={self.user_id}, signal={self.signal_type})>"