ML-005: FastAPI-App-Start und Batch-Sensor-Support finalisieren

backend/app.py

@@ -3,7 +3,7 @@ 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
+from app.ml.feature_store import FeatureStore, FeatureVector
 
 
 def create_app() -> FastAPI:
@@ -13,6 +13,10 @@ def create_app() -> FastAPI:
     return application
 
 
+def _app_state():  # noqa: ANN001
+    return app.state
+
+
 def _seed_default_model(state) -> None:  # noqa: ANN001
     registry = getattr(state, "registry", None)
     if registry is None:
@@ -23,7 +27,8 @@ def _seed_default_model(state) -> None:  # noqa: ANN001
         return
 
     store = FeatureStore()
-    store.add("sensor.kitchen", {"temperature": 19.0})
+    store.add(FeatureVector(sensor_id="sensor.front_door", values={"contact": 1.0}))
+    store.add(FeatureVector(sensor_id="sensor.living_room", values={"temperature": 21.0}))
     pipeline = TrainingPipeline(store)
     artifact = pipeline.run("default")
     registry.register(artifact)