UI-002: align context and activation status

app/actuators/lifecycle.py

@@ -239,12 +239,25 @@ class ActuatorReconciliationService:
             (candidate for candidate in numeric_candidates if candidate.auto_accepted),
             None,
         )
-        top_contexts = [
-            candidate.entity_id
+        accepted_contexts = [
+            candidate
             for candidate in context_candidates
             if candidate.auto_accepted
         ][: _MAX_CONTEXT_SELECTIONS]
+        top_contexts = [candidate.entity_id for candidate in accepted_contexts]
         if top_numeric is None:
+            if accepted_contexts:
+                return AssignmentSelection(
+                    selected_numeric_entity_id=None,
+                    selected_context_entity_ids=top_contexts,
+                    source=AssignmentSource.AUTOMATIC,
+                    confidence=max(candidate.confidence for candidate in accepted_contexts),
+                    review_required=False,
+                    reason=(
+                        "Passender Schaltkontext automatisch erkannt. Für diese "
+                        "Verhaltensvorhersage ist kein numerischer Sensor erforderlich."
+                    ),
+                )
             return AssignmentSelection(
                 selected_numeric_entity_id=None,
                 selected_context_entity_ids=top_contexts,

app/static/index.html

@@ -112,6 +112,7 @@ async function api(path, options = {}) {
 }
 
 function lifecycleLabel(record) {
+  if (record.behavior.status === "trained") return "Kontext erkannt";
   const labels = {
     trained: "lernt",
     pending_history: "sammelt Historie",
@@ -124,6 +125,7 @@ function lifecycleLabel(record) {
 }
 
 function statusClass(record) {
+  if (record.behavior.status === "trained") return "ok";
   if (record.lifecycle.status === "trained") return "ok";
   if (["pending_history", "pending_assignment", "archived"].includes(record.lifecycle.status)) return "warn";
   return "bad";
@@ -237,11 +239,18 @@ async function showActuator(actuatorId) {
       .map(candidate => `<li><strong>${escapeHtml(candidate.friendly_name || candidate.entity_id)}</strong>: ${candidate.evidence.map(escapeHtml).join(", ") || "statistisch relevanter Kandidat"}</li>`)
       .join("");
     const prediction = record.behavior.prediction;
+    const requiredUserActions = 3;
+    const missingUserActions = Math.max(
+      0,
+      requiredUserActions - record.behavior.high_confidence_sample_count,
+    );
     const activationButton = record.behavior.mode === "active"
       ? `<button class="danger" onclick="setActivation('${escapeHtml(record.actuator_entity_id)}', false)">Autonomes Schalten stoppen</button>`
-      : record.behavior.status === "trained"
+      : record.behavior.status === "trained" && missingUserActions === 0
         ? `<button onclick="setActivation('${escapeHtml(record.actuator_entity_id)}', true)">Lernen und Schalten freigeben</button>`
-        : "<p class='muted'>Freigabe wird möglich, sobald genügend Handlungen gelernt wurden.</p>";
+        : 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 wird möglich, sobald genügend Handlungen gelernt wurden.</p>";
     box.innerHTML = `
       <div class="grid-two">
         <div>