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

ml/.env.example

@@ -0,0 +1,45 @@
+PORT=3007
+
+# Auth condiviso
+JWT_SECRET=change-me
+INTERNAL_API_KEY=change-me
+AUTH_LOGIN_URL=https://auth.mebboat.it/login
+
+# Postgres (db ml)
+PG_HOST=meb-postgres
+PG_PORT=5432
+DB_USER=meb
+DB_PASSWORD=meb
+ML_DB=ml
+
+# Redis
+REDIS_HOST=meb-redis
+REDIS_PORT=6379
+
+# MinIO (bucket unico)
+MINIO_ENDPOINT=minio
+MINIO_PORT=9000
+MINIO_USE_SSL=false
+MINIO_ACCESS_KEY=
+MINIO_SECRET_KEY=
+MINIO_BUCKET=ml
+
+# InfluxDB
+INFLUX_URL=http://meb-influx:8086
+INFLUX_TOKEN=
+INFLUX_ORG=meb
+INFLUX_BUCKET=ml_metrics
+
+# Gitea (self-hosted esterno)
+GITEA_URL=https://git.mebboat.it
+GITEA_TOKEN=
+
+# API service
+API_URL=http://api:3003
+
+# Training runtime
+ML_TRAIN_CONCURRENCY=1
+ML_RUNNER_IMAGE=meb-ml-runner:latest
+ML_RUNNER_TMP=/var/ml/tmp
+ML_GITCACHE_DIR=/var/ml/gitcache
+ML_MAX_UPLOAD_MB=500