Accept ZIP/single help files, process with help_processor into OUTPUT_DIR+Postgres, pollable jobs, optional RESCAN_TOKEN.
Co-authored-by: Cursor <cursoragent@cursor.com>
Resolve section text from OUTPUT_DIR by basename, add /api/search and richer /healthz, default mount to /mnt/.../Output, support --remote-root in processor.
Co-authored-by: Cursor <cursoragent@cursor.com>
Backend migration:
- Replace pyodbc/SQL Server with psycopg2/PostgreSQL throughout
- Rewrite Database class with portable SQL: SERIAL, ON CONFLICT, NOW()
- Lowercase table names (rip_help_files, rip_help_sections) - Postgres convention
- libpq connection string format in HELP_DB_CONN
Webapp (webapp/):
- FastAPI app: GET /, GET /images/<f>, GET /home-image, GET /api/sections,
POST /api/keywords/<code>, GET /healthz
- Jinja2 template extracted from generate_html.py with HTTP image URLs
- Direct keyword save to DB (no JSON download detour)
- Same prefix scoping as CLI tools (?prefix=RIP)
Deployment:
- Dockerfile (python:3.12-slim + uvicorn)
- docker-compose.yml for local dev
- requirements-webapp.txt (minimal, no Windows-only deps)
- .dockerignore excludes pipeline scripts and BAT files
- README updated with webapp section and Coolify deploy guide
Also: switch AI model to claude-haiku-4-5 (~3x cheaper, same quality for this task)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
