40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
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"""用户反馈记录模型 — 采集点踩/修改/驳回等反馈信号"""
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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 FeedbackRecord(Base):
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"""用户反馈记录"""
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__tablename__ = "feedback_records"
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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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# 反馈信号
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signal_type = Column(String(30), nullable=False, comment="thumbs_down/manual_edit/retry_command/reject_approval")
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severity = Column(Float, default=0.5, comment="严重程度(0-1)")
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# 关联上下文
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execution_log_id = Column(String(36), nullable=True, index=True)
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agent_name = Column(String(200), nullable=True)
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task_id = Column(String(36), nullable=True)
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# 原始内容
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original_output = Column(Text, nullable=True, comment="被否定的Agent输出")
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user_correction = Column(Text, nullable=True, comment="用户修正后的内容")
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# 反馈详情
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feedback_context = Column(JSON, nullable=True, comment="反馈上下文: {user_message, reason, ...}")
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improvement_suggestion = Column(Text, nullable=True, comment="LLM生成的改进建议")
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# 学习状态
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learned = Column(Boolean, default=False, comment="是否已学习")
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lesson_summary = Column(Text, nullable=True, comment="学习后的教训总结")
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created_at = Column(DateTime, default=datetime.now)
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def __repr__(self):
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return f"<FeedbackRecord(user={self.user_id}, signal={self.signal_type})>"
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