ML-005 vorbereiten: Registry, API-Routen und kompatibler Predictor

backend/app.py

@@ -0,0 +1,32 @@
+from fastapi import FastAPI
+
+from backend.routes.ml import init_ml_routes
+from app.ml.registry.model_registry import ModelRegistry
+from app.ml.training import TrainingPipeline
+from app.ml.feature_store import FeatureStore
+
+
+def create_app() -> FastAPI:
+    application = FastAPI(title="SillyHome Next ML")
+    init_ml_routes(application)
+    _seed_default_model(application.state if hasattr(application, "state") else application)
+    return application
+
+
+def _seed_default_model(state) -> None:  # noqa: ANN001
+    registry = getattr(state, "registry", None)
+    if registry is None:
+        registry = ModelRegistry(".model_store")
+        state.registry = registry
+
+    if list(registry.list_models()):
+        return
+
+    store = FeatureStore()
+    store.add("sensor.kitchen", {"temperature": 19.0})
+    pipeline = TrainingPipeline(store)
+    artifact = pipeline.run("default")
+    registry.register(artifact)
+
+
+app = create_app()