ASSIGN-001: reject unrelated actuator sensors

app/actuators/lifecycle.py

@@ -45,6 +45,8 @@ _STOPWORDS = frozenset(
         "humidity",
         "illuminance",
         "light",
+        "licht",
+        "lichtschalter",
         "power",
         "sensor",
         "state",
@@ -54,8 +56,10 @@ _STOPWORDS = frozenset(
     }
 )
 _NUMERIC_AUTO_ACCEPT_SCORE = 0.82
+_NUMERIC_AUTO_ACCEPT_MIN_SCORE = 0.5
 _NUMERIC_MIN_MARGIN = 0.18
 _CONTEXT_AUTO_ACCEPT_SCORE = 0.78
+_CONTEXT_AUTO_ACCEPT_MIN_SCORE = 0.3
 _MAX_CONTEXT_SELECTIONS = 5
 _AUDIT_LIMIT = 20
 
@@ -231,10 +235,14 @@ class ActuatorReconciliationService:
         numeric_candidates: list[AssignmentCandidate],
         context_candidates: list[AssignmentCandidate],
     ) -> AssignmentSelection:
-        top_numeric = numeric_candidates[0] if numeric_candidates else None
+        top_numeric = next(
+            (candidate for candidate in numeric_candidates if candidate.auto_accepted),
+            None,
+        )
         top_contexts = [
             candidate.entity_id
             for candidate in context_candidates
+            if candidate.auto_accepted
         ][: _MAX_CONTEXT_SELECTIONS]
         if top_numeric is None:
             return AssignmentSelection(
@@ -433,8 +441,15 @@ class ActuatorReconciliationService:
             confidence = candidate.score / highest if highest else 0.0
             margin = candidate.score - second_score if index == 0 else 0.0
             auto_score = _CONTEXT_AUTO_ACCEPT_SCORE if context else _NUMERIC_AUTO_ACCEPT_SCORE
-            auto_accepted = confidence >= auto_score and (
-                context or margin >= _NUMERIC_MIN_MARGIN
+            minimum_score = (
+                _CONTEXT_AUTO_ACCEPT_MIN_SCORE
+                if context
+                else _NUMERIC_AUTO_ACCEPT_MIN_SCORE
+            )
+            auto_accepted = (
+                candidate.score >= minimum_score
+                and confidence >= auto_score
+                and (context or margin >= _NUMERIC_MIN_MARGIN)
             )
             sorted_candidates[index] = candidate.model_copy(
                 update={
@@ -510,6 +525,9 @@ def _score_candidate(
     if entity.device_class in preferred_device_classes:
         score += 0.2
         evidence.append(f"Passende device_class: {entity.device_class}")
+    if not context and actuator.domain == "light" and entity.device_class == "illuminance":
+        score += 0.2
+        evidence.append("Beleuchtungsstärke wird für Lichtaktoren bevorzugt.")
     if not context and entity.unit_of_measurement is not None:
         score += 0.05
         evidence.append(f"Numerische Einheit vorhanden: {entity.unit_of_measurement}")