BEHAVIOR-004: trust HA automation actions

app/behavior/engine.py

@@ -124,7 +124,9 @@ class BehaviorEngine:
             logbook=logbook,
             own_executions=record.behavior.execution_events,
         )
-        high_confidence = sum(1 for pattern in patterns if pattern.source == "user")
+        trusted_actions = sum(
+            1 for pattern in patterns if pattern.source in {"user", "automation"}
+        )
         status = (
             BehaviorStatus.TRAINED
             if len(patterns) >= self._settings.min_behavior_actions
@@ -142,7 +144,7 @@ class BehaviorEngine:
             update={
                 "status": status,
                 "sample_count": len(patterns),
-                "high_confidence_sample_count": high_confidence,
+                "high_confidence_sample_count": trusted_actions,
                 "patterns": patterns[-_MAX_PATTERNS:],
                 "last_trained_at": now,
                 "reason": reason,
@@ -296,8 +298,8 @@ class BehaviorEngine:
                 < self._settings.min_behavior_actions
             ):
                 raise ValueError(
-                    "Für die Freigabe fehlen noch eindeutig dir zugeordnete Handlungen. "
-                    "Bediene den Aktor einige Male über Home Assistant."
+                    "Für die Freigabe fehlen noch eindeutig zugeordnete manuelle "
+                    "oder automatisierte Handlungen."
                 )
             mode = BehaviorMode.ACTIVE
             approved_at = now
@@ -338,8 +340,6 @@ class BehaviorEngine:
                 context_ids,
                 point.timestamp,
             )
-            if source == "automation" and trigger is None:
-                continue
             contexts = {
                 entity_id: state
                 for entity_id in context_ids
@@ -520,7 +520,7 @@ def _action_source(
     if nearest.context_user_id:
         return "user", 1.0
     if nearest.context_domain in _AUTOMATION_CONTEXT_DOMAINS:
-        return "automation", 0.1
+        return "automation", 1.0
     return "physical_or_unknown", 0.7
 
 

app/static/index.html

@@ -239,20 +239,20 @@ async function showActuator(actuatorId, evaluationMessage = "") {
       .map(candidate => `<li><strong>${escapeHtml(candidate.friendly_name || candidate.entity_id)}</strong>: ${candidate.evidence.map(escapeHtml).join(", ") || "statistisch relevanter Kandidat"}</li>`)
       .join("");
     const prediction = record.behavior.prediction;
-    const requiredUserActions = 3;
+    const requiredTrustedActions = 3;
     const learnedAutomationActions = record.behavior.patterns.filter(
       pattern => pattern.source === "automation",
     ).length;
-    const missingUserActions = Math.max(
+    const missingTrustedActions = Math.max(
       0,
-      requiredUserActions - record.behavior.high_confidence_sample_count,
+      requiredTrustedActions - record.behavior.high_confidence_sample_count,
     );
     const activationButton = record.behavior.mode === "active"
       ? `<button class="danger" onclick="setActivation('${escapeHtml(record.actuator_entity_id)}', false)">Autonomes Schalten stoppen</button>`
-      : record.behavior.status === "trained" && missingUserActions === 0
+      : record.behavior.status === "trained" && missingTrustedActions === 0
         ? `<button onclick="setActivation('${escapeHtml(record.actuator_entity_id)}', true)">Lernen und Schalten freigeben</button>`
         : record.behavior.status === "trained"
-          ? `<p class='muted'>Freigabe noch gesperrt: ${missingUserActions} eindeutig manuelle Bedienung${missingUserActions === 1 ? "" : "en"} fehlen. Bediene das Licht dafür direkt über Home Assistant.</p>`
+          ? `<p class='muted'>Freigabe noch gesperrt: ${missingTrustedActions} eindeutig zugeordnete manuelle oder automatisierte Handlung${missingTrustedActions === 1 ? "" : "en"} fehlen.</p>`
           : "<p class='muted'>Freigabe wird möglich, sobald genügend Handlungen gelernt wurden.</p>";
     box.innerHTML = `
       <div class="grid-two">
@@ -268,7 +268,7 @@ async function showActuator(actuatorId, evaluationMessage = "") {
           <h3>Lernfortschritt</h3>
           <p><strong>Betriebsart:</strong> ${escapeHtml(behaviorLabel(record))}</p>
           <p><strong>Gelernte Handlungen:</strong> ${record.behavior.sample_count}</p>
-          <p><strong>Davon eindeutig Benutzer:</strong> ${record.behavior.high_confidence_sample_count}</p>
+          <p><strong>Davon eindeutig geregelt:</strong> ${record.behavior.high_confidence_sample_count}</p>
           <p><strong>Davon erkannte HA-Automationen:</strong> ${learnedAutomationActions}</p>
           <p><strong>Letztes Training:</strong> ${escapeHtml(record.behavior.last_trained_at || "noch nicht")}</p>
           <p><strong>Was noch passiert:</strong> ${escapeHtml(record.behavior.reason)}</p>