olivas/backend/app/schemas/project.py
DJP 3467dbcf03 Initial commit — OliVAS visual attention analysis platform
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>
2026-02-23 20:20:58 -05:00

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()