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Author SHA1 Message Date
DJP
8df679c9c8 Add psycopg2-binary to Docker build for sync DB access 
Background tasks use synchronous psycopg2 for database writes after
analysis completion. Without this package, analyses stayed stuck on
"pending" status in Docker deployments.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 22:30:24 -05:00
DJP
f95d5efbf7 Fix Docker build: add missing deps and .dockerignore 
- Replace deprecated libgl1-mesa-glx with libgl1 (Debian Trixie)
- Add CLIP, einops, ftfy, regex dependencies for DeepGaze models
- Add backend .dockerignore to exclude .venv (128MB → 1.6MB context)
- Update Makefile with CLIP install step
- All 3 models load successfully in Docker

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 22:16:58 -05:00
DJP
2425cd2677 Fix Docker and install files for current codebase 
- Fix backend Dockerfile: install deps before copying source for
  proper layer caching (non-editable install)
- Add ai_insights, ai_score, ai_score_reason, ai_cost_usd columns
  to initial Alembic migration so fresh Docker deploys have full schema
- Add ANTHROPIC_API_KEY to docker-compose.yml, docker-compose.dev.yml,
  and .env.example
- Remove accidental backend/=0.40 pip artifact file

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 21:54:41 -05:00
DJP
2ef458ec72 Add individual analysis deletion from AnalysisView and ProjectDetail 
- Delete button on AnalysisView header (red, with confirmation dialog)
- Trash icon on each analysis card in ProjectDetail grid
- useDeleteAnalysis hook with query invalidation
- Navigates back after successful deletion

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 21:48:10 -05:00
DJP
92062b254d Add score clarity, AI design score, image format fix, cost tracking 
- Replace bare score badge with rich ScoreCard component showing
  color-coded score (green/amber/red), label, and hover tooltip
  explaining what the 0-100 Attention Focus score means
- Add AI Design Effectiveness Score (1-10) from Claude alongside
  qualitative insights, with score_reason explanation
- Fix image/png media type error by converting all images to PNG
  before sending to Claude API
- Save ai_score and ai_score_reason to DB
- Display AI score badge in InsightsPanel with color coding

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 20:37:03 -05:00
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