feat: Add new API endpoints and HTML pages for ML model management

- Implemented HTML pages for datasets, models, training, testing, and results.
- Created API endpoints for managing repositories, results, tests, and training sessions.
- Added functionality for streaming training progress via Server-Sent Events (SSE).
- Introduced a Dockerfile for the ML runner with necessary dependencies.
- Developed an SDK for user code execution within the runner container.
- Enhanced CSS styles for improved UI layout and navigation.
- Established a layout template for consistent HTML structure across pages.
- Added JavaScript for dynamic interactions on the models page.
- Implemented WebSocket handling for real-time communication with kiosk devices and controllers.
- Implemented model registration and management API at /api/models
- Added Gitea proxy API for repository interactions at /api/repos
- Created results API for listing and comparing training results at /api/results
- Developed training management API for enqueueing and retrieving training jobs at /api/trainings
- Introduced SSE endpoint for live training progress updates
- Added HTML pages for models, datasets, and training management
- Created a Dockerfile for the ML runner with necessary dependencies
- Developed SDK for user code execution within the runner container
- Enhanced CSS styles for improved UI/UX
- Implemented WebSocket communication for real-time device and controller interactions in the kiosk system

realtime/src/index.js

@@ -45,9 +45,13 @@ app.get('/health', (req, res) => {
 app.use('/connect', require('./routes/connect'));
 app.use('/sensors', require('./routes/sensors'));
 app.use('/sessions', require('./routes/sessions'));
+app.use('/rules', require('./routes/rules'));
 
 const server = app.listen(3000, '0.0.0.0', () => {
     console.log(`Realtime started`);
 });
 
 wsHandler.setup(server);
+
+// deve essere caricato DOPO setup per avere kioskRelay pronto
+app.use('/kiosk', require('./routes/kiosk'));