ml/rules-recommendations: regelbasierte Heizungsempfehlung und Recommender

app/rules/__init__.py

@@ -0,0 +1 @@
+# sillyhome-next.rules

app/rules/heating.py

@@ -0,0 +1,15 @@
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+from app.ha.models import HaEntitySummary
+from app.rules.recommender import Rule
+
+
+class HeatingRule(Rule):
+    def matches(self, entities: Sequence[HaEntitySummary]) -> bool:
+        domains = {item.domain for item in entities}
+        return "climate" in domains or "sensor" in domains
+
+    def recommendation(self, entities: Sequence[HaEntitySummary]) -> str:
+        return "Prüfe Heizungsregelung: Aktiviere energiesparenden Modus bei Abwesenheit."

app/rules/recommender.py

@@ -0,0 +1,25 @@
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+from app.ha.models import HaEntitySummary
+
+
+class Rule:
+    def matches(self, entities: Sequence[HaEntitySummary]) -> bool:
+        raise NotImplementedError
+
+    def recommendation(self, entities: Sequence[HaEntitySummary]) -> str:
+        raise NotImplementedError
+
+
+class Recommender:
+    def __init__(self, rules: Sequence[Rule]) -> None:
+        self._rules = rules
+
+    def run(self, entities: Sequence[HaEntitySummary]) -> list[str]:
+        results: list[str] = []
+        for rule in self._rules:
+            if rule.matches(entities):
+                results.append(rule.recommendation(entities))
+        return results