import uuid from datetime import datetime from sqlalchemy import String, Text, DateTime, ForeignKey, Index, func, Float from sqlalchemy import Uuid from sqlalchemy.orm import Mapped, mapped_column, relationship from app.database import Base, JSONType class SchemaSuggestion(Base): __tablename__ = "schema_suggestions" 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, ) schema_type: Mapped[str] = mapped_column( String(50), nullable=False, ) target_url: Mapped[str | None] = mapped_column( String(500), nullable=True, ) json_ld_template: Mapped[dict] = mapped_column( JSONType, nullable=False, default=dict, ) json_ld_filled: Mapped[dict | None] = mapped_column( JSONType, nullable=True, ) priority: Mapped[str] = mapped_column( String(20), nullable=False, default="medium", ) status: Mapped[str] = mapped_column( String(20), nullable=False, default="pending", ) diagnosis_dimensions: Mapped[dict | None] = mapped_column( JSONType, nullable=True, ) implementation_difficulty: Mapped[str] = mapped_column( String(20), nullable=False, default="medium", ) estimated_impact: Mapped[str | None] = mapped_column( Text, nullable=True, ) validation_errors: Mapped[dict | None] = mapped_column( JSONType, nullable=True, ) created_at: Mapped[datetime] = mapped_column( DateTime(timezone=True), server_default=func.now(), nullable=False, ) updated_at: Mapped[datetime] = mapped_column( DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False, ) brand: Mapped["Brand"] = relationship("Brand", back_populates="schema_suggestions") __table_args__ = ( Index("idx_schema_suggestions_brand_id", "brand_id"), Index("idx_schema_suggestions_status", "status"), Index("idx_schema_suggestions_schema_type", "schema_type"), Index("idx_schema_suggestions_brand_status", "brand_id", "status"), ) from app.models.brand import Brand # noqa: E402, F401