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/core/redis_client.py

@@ -0,0 +1,29 @@
+"""Client Redis asincrono (redis-py asyncio). Singleton semplice."""
+from __future__ import annotations
+
+from typing import Optional
+
+import redis.asyncio as redis
+
+from core.config import settings
+
+_client: Optional[redis.Redis] = None
+
+
+def client() -> redis.Redis:
+    global _client
+    if _client is None:
+        _client = redis.Redis(
+            host=settings.redis_host,
+            port=settings.redis_port,
+            decode_responses=True,
+            health_check_interval=30,
+        )
+    return _client
+
+
+async def close() -> None:
+    global _client
+    if _client is not None:
+        await _client.aclose()
+        _client = None