3467dbcf03
Full-stack application for predicting where humans look in images using DeepGaze saliency models. Includes heatmap overlays, gaze sequence prediction, hotspot detection, AOI analysis, rule-based insights, optional Claude AI design analysis, and professional PDF report generation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
23 lines
867 B
Python
23 lines
867 B
Python
import uuid
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from datetime import datetime
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from sqlalchemy import ForeignKey, JSON, String, func
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.models.base import Base
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class Comparison(Base):
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__tablename__ = "comparisons"
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id: Mapped[str] = mapped_column(
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String(36), primary_key=True, default=lambda: str(uuid.uuid4())
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)
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project_id: Mapped[str] = mapped_column(ForeignKey("projects.id"), index=True)
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user_id: Mapped[str] = mapped_column(String(36), index=True)
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name: Mapped[str] = mapped_column(String(255))
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analysis_ids: Mapped[dict] = mapped_column(JSON)
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comparison_data: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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created_at: Mapped[datetime] = mapped_column(server_default=func.now())
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project: Mapped["Project"] = relationship(back_populates="comparisons") # noqa: F821
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