import uuid from datetime import datetime from sqlalchemy import String, Integer, Float, ForeignKey, Index, func, Text from sqlalchemy import Uuid, JSON from sqlalchemy.orm import Mapped, mapped_column from app.database import Base class TrendInsight(Base): __tablename__ = "trend_insights" id: Mapped[uuid.UUID] = mapped_column( Uuid(as_uuid=True), primary_key=True, default=uuid.uuid4, ) brand_id: Mapped[uuid.UUID] = mapped_column( Uuid(as_uuid=True), ForeignKey("brands.id", ondelete="CASCADE"), nullable=False, ) trend_type: Mapped[str] = mapped_column(String(20), nullable=False) keyword: Mapped[str | None] = mapped_column(String(200), nullable=True) platform: Mapped[str | None] = mapped_column(String(50), nullable=True) period_start: Mapped[datetime] = mapped_column(nullable=False) period_end: Mapped[datetime] = mapped_column(nullable=False) data_points: Mapped[list | None] = mapped_column(JSON, nullable=True) change_rate: Mapped[float | None] = mapped_column(Float, nullable=True) absolute_change: Mapped[int | None] = mapped_column(Integer, nullable=True) sentiment_trend: Mapped[dict | None] = mapped_column(JSON, nullable=True) cause_analysis: Mapped[str | None] = mapped_column(Text, nullable=True) recommendations: Mapped[list | None] = mapped_column(JSON, nullable=True) confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.5) severity: Mapped[str] = mapped_column( String(20), nullable=False, server_default="info", ) created_at: Mapped[datetime] = mapped_column( server_default=func.now(), nullable=False, ) updated_at: Mapped[datetime] = mapped_column( server_default=func.now(), onupdate=func.now(), nullable=False, ) __table_args__ = ( Index("idx_trend_insights_brand_id", "brand_id"), Index("idx_trend_insights_trend_type", "trend_type"), Index("idx_trend_insights_created_at", "created_at"), Index("idx_trend_insights_period_start", "period_start"), )