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

copernicus/main.py

@@ -12,11 +12,16 @@ from fastapi.middleware.cors import CORSMiddleware
 load_dotenv()
 
 from routers import catalog, datasets, jobs
+from core.cache import cache_stats, cache_sweep
 
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):
     api_url = os.getenv("API_SERVICE_URL", "http://api:3003")
+    # Pulizia voci scadute della cache su disco all'avvio
+    removed = cache_sweep()
+    if removed:
+        print(f"[Cache] Rimosse {removed} voci scadute dal disco")
     yield
 
 
@@ -50,4 +55,9 @@ async def root():
 
 @app.get("/health", tags=["health"])
 async def health():
-    return {"status": "healthy"}
+    return {"status": "healthy", "cache": cache_stats()}
+
+
+@app.post("/cache/sweep", tags=["health"])
+async def sweep():
+    return {"removed": cache_sweep()}