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>
35 lines
679 B
Python
35 lines
679 B
Python
from datetime import datetime
|
|
|
|
from pydantic import BaseModel
|
|
|
|
|
|
class ProjectCreate(BaseModel):
|
|
name: str
|
|
description: str | None = None
|
|
|
|
|
|
class ProjectUpdate(BaseModel):
|
|
name: str | None = None
|
|
description: str | None = None
|
|
|
|
|
|
class ProjectSummary(BaseModel):
|
|
id: str
|
|
name: str
|
|
description: str | None
|
|
analysis_count: int = 0
|
|
created_at: datetime
|
|
updated_at: datetime
|
|
|
|
model_config = {"from_attributes": True}
|
|
|
|
|
|
class ProjectDetail(ProjectSummary):
|
|
analyses: list["AnalysisSummary"] = []
|
|
|
|
model_config = {"from_attributes": True}
|
|
|
|
|
|
from app.schemas.analysis import AnalysisSummary # noqa: E402
|
|
|
|
ProjectDetail.model_rebuild()
|