Add adaptive learning and model rollback

tests/api/test_actuators.py

@@ -7,6 +7,7 @@ from pathlib import Path
 from fastapi.testclient import TestClient
 
 from app.actuators.lifecycle import ActuatorReconciliationService
+from app.actuators.models import ModelSnapshot
 from app.actuators.store import ActuatorStore
 from app.behavior.engine import BehaviorEngine
 from app.config import Settings
@@ -113,6 +114,7 @@ def _install_service(tmp_path: Path) -> None:
             unit_of_measurement="lx",
             friendly_name="Abstellkammer Helligkeit",
             area_name="Abstellkammer",
+            state="12",
         ),
         HaEntitySummary(
             entity_id="binary_sensor.abstellkammer_motion",
@@ -120,6 +122,7 @@ def _install_service(tmp_path: Path) -> None:
             device_class="motion",
             friendly_name="Abstellkammer Bewegung",
             area_name="Abstellkammer",
+            state="off",
         ),
         HaEntitySummary(
             entity_id="sensor.pfsense_interface_vpn_inbytes",
@@ -300,6 +303,54 @@ def test_safety_profile_can_block_actuator_manually(tmp_path: Path) -> None:
     assert payload["behavior"]["safety"]["cooldown_seconds"] == 120
 
 
+def test_feedback_adapts_sensor_weights_and_model_can_rollback(tmp_path: Path) -> None:
+    with TestClient(app) as client:
+        _install_service(tmp_path)
+        client.post(
+            "/v1/actuators",
+            json={"actuator_entity_id": "light.abstellkammer"},
+        )
+        record = app.state.actuator_store.get("light.abstellkammer")
+        version_id = "model-test"
+        snapshot = ModelSnapshot(
+            version_id=version_id,
+            sample_count=1,
+            high_confidence_sample_count=1,
+            average_confidence=0.9,
+            patterns=[],
+            reason="Test-Snapshot",
+        )
+        app.state.actuator_store.upsert(
+            record.model_copy(
+                update={
+                    "behavior": record.behavior.model_copy(
+                        update={
+                            "model_snapshots": [snapshot],
+                            "active_model_version": "model-current",
+                            "sample_count": 2,
+                        }
+                    )
+                }
+            )
+        )
+
+        feedback = client.post(
+            "/v1/actuators/light.abstellkammer/feedback",
+            json={"correct": False, "expected_state": "off"},
+        )
+        rollback = client.post(
+            "/v1/actuators/light.abstellkammer/model/rollback",
+            json={"version_id": version_id},
+        )
+
+    assert feedback.status_code == 200
+    feedback_payload = feedback.json()
+    assert feedback_payload["behavior"]["adaptive_weight_updates"]
+    assert feedback_payload["manual_override"]["sensor_weights"]
+    assert rollback.status_code == 200
+    assert rollback.json()["behavior"]["active_model_version"] == version_id
+
+
 def test_summary_is_lightweight_and_uses_cached_entity_metadata(tmp_path: Path) -> None:
     with TestClient(app) as client:
         _install_service(tmp_path)