🏁 TurboBench — Automotive Test Automation Framework

TurboBench consolidates SSH, ADB, bench power control, ETFW, DLT logging, serial consoles and Windows camera capture into a single browser-based dashboard. Non-technical users design test cases with drag-and-drop; engineers extend it through a hot-reloadable plugin system.

🚀 Quick start

# Requirements: Python 3.10+ (3.11.9 recommended), Node.js 18+

cd turbobench
pip install -r requirements.txt      # or: pip install poetry && poetry install
python app.py

app.py installs anything missing, builds the React frontend on first run, starts the FastAPI backend on http://localhost:8000 and opens your browser. That's it.

✨ Highlights

• Drag-and-drop test designer (list + visual canvas) with pre-built step templates for SSH, ADB, power, ignition, ETFW, DLT, camera and serial console. Reorder steps freely — including inside parallel groups and on the canvas.
• Run Targets: run a test case / scenario / suite Local or on a saved remote (RDP / domain-joined) host over SSH — chosen per test or at run time.
• Registered scripts: register a bench script once (e.g. power_control.py) with its subcommands; each subcommand becomes a drag-and-drop palette item that runs python power_control.py <subcommand>.
• Template Manager: create, edit and delete your own palette templates and register scripts from a dedicated page.
• Execution engine: serial / parallel / step-by-step modes, retry with exponential backoff, IF/THEN conditional jumps, loops, parallel groups, per-device resource locking, sandboxed user scripts.
• Authorship & integrity: every test case records who created/last-edited it (preserved across import/export); saved cases are read-only until you unlock.
• Live monitoring over WebSocket: step status, logs, pause/resume/stop.
• Reports: Allure-style HTML per run, plus one aggregated report per suite/scenario run, with timelines, artifacts and report diffing.
• Scheduling: run a test case, scenario or whole suite once / daily / weekly / cron, with an optional start-from / run-until active window.
• Enterprise security: AES-256-GCM credential vault, 5-role RBAC, audit log.
• Observability: structured JSON logs, Prometheus metrics, adapter health.
• Plugin system: manifest-based adapters, enable/disable, hot reload, custom plugins in data/plugins/.
• Self-contained packaging: bundle adb platform-tools + ffmpeg into the PyPI wheel and a one-folder Windows installer (see INSTALL.md).

🧪 Development

# Backend tests
python -m pytest tests/

# Frontend dev server (proxies API to :8000)
cd frontend && npm install && npm run dev

# Frontend tests & build
npm run test && npm run build

🐳 Docker

docker compose -f docker/docker-compose.yml up --build

📚 Documentation

• INSTALL.md — how to install (installer, PyPI, source, Docker)
• HOWTO.md — task-oriented guide: build tests, targets, scripts, scheduling, reports
• USER_GUIDE.md — using the dashboard
• DEVELOPER_GUIDE.md — extending TurboBench
• API_REFERENCE.md — REST/WebSocket API
• TURBOBENCH_COMPLETE_ARCHITECTURE.md — full architecture spec
• PACKAGING.md — build the wheel / Windows installer

📄 License

MIT — see LICENSE.