- Issue 1: Recompute WCAG A/AA compliance badges after dismissing issues (JS +
backend); exported reports now reflect updated pass/fail status
- Issue 2: Group document-wide table issues into collapsible cards with
Dismiss All button; reduces noise for multi-table documents
- Issue 3: Split cleanup retention — uploads deleted after 24h, result/meta
JSONs retained 30 days (RESULTS_RETENTION_HOURS env var, default 720h)
- Issue 4A: Library shows adjusted score when available (.adjusted.json preferred)
- Issue 4B: History page groups documents by retention countdown (red/yellow/green
sections); adds 30-day retention banner
- Issue 5+6: AI prompt updated — describe people by role/action not appearance,
use specific brand names; flags images with people for human review
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace the Redis queue + Python worker daemon with a synchronous HTTP
call to a Cloud Run service, eliminating Redis and simplifying the
infrastructure from 4 containers (web, worker, redis, postgres) to just
web + postgres (with Cloud Run handling processing).
- Add cloudrun_service.py: Flask app wrapping EnterprisePDFChecker with
POST /check and GET /health endpoints, GCS image upload
- Add Dockerfile.cloudrun + requirements-cloudrun.txt for Cloud Run image
- Add cloudbuild.yaml for Cloud Build with custom Dockerfile
- Rewrite api.php: remove all Redis code, add Cloud Run OIDC auth
(getCloudRunToken), synchronous processing in handleCheck(), file-based
rate limiting, GCS redirect in handleImage(), DB helper updateJobInDatabase()
- Update js/upload.js: handle synchronous completed response from Cloud Run,
increase poll timeout to 15 minutes
- Update js/page-viewer.js: use GCS URLs directly for page images
- Simplify docker-compose.yml and docker-compose.prod.yml: remove worker
and redis services
- Remove PHP Redis extension from Dockerfile.web
- Set 900s timeouts across nginx, PHP-FPM, gunicorn, curl, and Cloud Run
- Update cleanup.py: remove result_images pattern (now on GCS), add
rate_limits cleanup
- Update .env.example: replace Redis vars with Cloud Run/GCS config
Cloud Run service deployed to:
https://pdf-checker-bcb6ipdqka-uc.a.run.app
GCS bucket: gs://optical-pdf-images (7-day lifecycle, public read)
GCP project: optical-414516
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Complete WCAG 2.1 accessibility checking system
- AI-powered analysis with Claude 4.5 and Google Vision
- Web interface with drag-and-drop upload
- REST API backend (PHP)
- Python checker with parallel processing
- Quick mode for fast scans (~10 seconds)
- Full mode with AI analysis (~2 minutes)
- .env file support for API keys
- Error logging and debugging tools
- Comprehensive documentation
Performance improvements:
- Parallel image processing (3x faster)
- Smart API timeouts (10s)
- Reduced DPI for faster conversions
- Real-time progress updates
🤖 Generated with Claude Code
