ml/rules-recommendations: regelbasierte Heizungsempfehlung und Recommender

tests/rules/test_heating.py

@@ -0,0 +1,26 @@
+from __future__ import annotations
+
+from app.ha.models import HaEntitySummary
+from app.rules.heating import HeatingRule
+from app.rules.recommender import Recommender
+
+
+def _sensor(entity_id: str) -> HaEntitySummary:
+    return HaEntitySummary(entity_id=entity_id, domain="sensor")
+
+
+def _climate(entity_id: str) -> HaEntitySummary:
+    return HaEntitySummary(entity_id=entity_id, domain="climate")
+
+
+def test_heating_rule_triggers() -> None:
+    rule = HeatingRule()
+    assert rule.matches([_climate("climate.living_room")])
+    assert rule.matches([_sensor("sensor.temperature_living")])
+
+
+def test_recommender_uses_rule() -> None:
+    recommender = Recommender(rules=[HeatingRule()])
+    assert recommender.run([_climate("climate.living_room")]) == [
+        "Prüfe Heizungsregelung: Aktiviere energiesparenden Modus bei Abwesenheit."
+    ]