PMFlow/backend/app/models/signal_feedback.py

21 lines
883 B
Python

"""信号反馈模型"""
from .base import Base
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy import BigInteger, Integer, Float, Boolean, Text, VARCHAR, ForeignKey
class SignalFeedback(Base):
__tablename__ = "signal_feedbacks"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
signal_id: Mapped[int] = mapped_column(
BigInteger, ForeignKey("signals.id"), nullable=False
)
was_strategic: Mapped[bool] = mapped_column(Boolean, nullable=False)
reason: Mapped[str] = mapped_column(Text, nullable=True)
ai_predicted_strategic: Mapped[bool] = mapped_column(Boolean, nullable=False)
ai_confidence: Mapped[float] = mapped_column(Float, nullable=True)
user_id: Mapped[str] = mapped_column(VARCHAR(100), nullable=True)
signal = relationship("Signal", back_populates="feedbacks")