c1b80eb9a7
The pure Shannon entropy score penalized well-designed ads with multiple intentional visual elements (e.g. hero product + text + logo scored ~8/100). New composite score (0-100) weights four components: - Peak Dominance (30%): strength of #1 hotspot vs rest - Hierarchy Clarity (25%): monotonic intensity ordering - Gaze Coherence (25%): smooth spatial gaze path - Entropy Concentration (20%): sqrt-softened entropy The raw entropy score is preserved as entropy_score for users who want it, visible in the ScoreCard hover tooltip and PDF report. Also adds auto-create DB tables on startup for fresh Docker deploys. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
42 lines
1.9 KiB
Python
42 lines
1.9 KiB
Python
import uuid
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from datetime import datetime
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from sqlalchemy import Float, ForeignKey, Integer, 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 Analysis(Base):
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__tablename__ = "analyses"
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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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model_used: Mapped[str] = mapped_column(String(50), default="deepgaze_iie")
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status: Mapped[str] = mapped_column(String(20), default="pending")
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original_filename: Mapped[str] = mapped_column(String(255))
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image_width: Mapped[int] = mapped_column(Integer)
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image_height: Mapped[int] = mapped_column(Integer)
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file_format: Mapped[str] = mapped_column(String(10))
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storage_path: Mapped[str] = mapped_column(String(512))
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gaze_sequence: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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hotspots: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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overall_score: Mapped[float | None] = mapped_column(Float, nullable=True)
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entropy_score: Mapped[float | None] = mapped_column(Float, nullable=True)
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ai_insights: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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ai_score: Mapped[int | None] = mapped_column(Integer, nullable=True)
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ai_score_reason: Mapped[str | None] = mapped_column(String(500), nullable=True)
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ai_cost_usd: Mapped[float | None] = mapped_column(Float, 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="analyses") # noqa: F821
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aois: Mapped[list["AOI"]] = relationship( # noqa: F821
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back_populates="analysis", cascade="all, delete-orphan"
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)
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