Use lightweight actuator dashboard summaries

CHANGELOG.md

@@ -1,5 +1,27 @@
 # Changelog
 
+## 0.7.19 - 2026-06-17
+- Dashboard-Übersicht nutzt einen leichten `/v1/actuators/summary`-Endpunkt
+  statt voller Lernmuster und kompletter HA-Entityliste.
+- Nach Aktionen werden Dashboard-Caches gezielt invalidiert, damit keine
+  stale oder doppelt geladenen Einträge entstehen.
+
+## 0.7.18 - 2026-06-16
+- Dashboard lädt Aktoren, Entities und Discovery nur noch einmal pro Refresh und
+  rendert daraus Auswahl und Übersicht ohne doppelte API-Ladewege.
+- Manuelle Kontext-Evidenz wird dedupliziert, damit Hinweise wie
+  "Manuell vom Nutzer als relevant festgelegt" nicht mehrfach erscheinen.
+- Kontextauswahl ist vollständiger: Feuchte, Wetter, Licht-/Schalterzustände,
+  Bewegungs-/Tür-/Präsenzmelder, PV/Akku/Einspeisung und Helper werden sauberer
+  kategorisiert und per Suche/Kategorie erreichbar.
+- Domainspezifische Zuordnung geschärft: Lüftungen bevorzugen Feuchte/Temperatur,
+  Lichter Helligkeit/Bewegung/Tür/Präsenz, Heizungen Temperatur/Anwesenheit/Wetter.
+
+## 0.7.17 - 2026-06-16
+- WebSocket-Eventpfad ist schneller: irrelevante HA-State-Changes werden vor
+  dem teuren State-Cache-Listenbau verworfen.
+- WebSocket nutzt Keepalive und reconnectet nach Abbrüchen nach 1s statt 5s.
+
 ## 0.7.16 - 2026-06-16
 - Beobachtete Aktoren werden in der Übersicht nach Raum oder Typ gruppiert und
   mit Friendly Name angezeigt.

addon/config.yaml

@@ -1,5 +1,5 @@
 name: SillyHome Next
-version: "0.7.16"
+version: "0.7.19"
 slug: sillyhome_next
 description: Lernt automatisch aus deinem Verhalten und steuert freigegebene Aktoren
 url: http://192.168.6.31:3000/pino/sillyhome-next

app/actuators/lifecycle.py

@@ -72,29 +72,42 @@ _MANUAL_CONTEXT_DOMAINS = frozenset({
     "device_tracker",
     "fan",
     "humidifier",
+    "input_boolean",
+    "input_number",
+    "input_select",
     "light",
+    "media_player",
     "person",
+    "remote",
+    "scene",
     "sensor",
+    "sun",
     "switch",
     "weather",
 })
-_CONTEXT_SUGGESTION_LIMIT = 120
+_CONTEXT_SUGGESTION_LIMIT = 500
 _OUTDOOR_TOKENS = frozenset({"aussen", "außen", "outdoor", "garten", "terrasse", "balkon"})
 _DIAGNOSTIC_TOKENS = frozenset({
     "basic",
     "battery",
+    "bytes",
     "connect",
     "count",
+    "data",
     "diagnostic",
     "firmware",
     "gesehen",
     "heat",
+    "inbytes",
+    "interface",
     "last",
     "linkquality",
     "knoten",
     "knotens",
     "mqtt",
     "node",
+    "outbytes",
+    "pfsense",
     "reason",
     "restart",
     "rssi",
@@ -105,6 +118,7 @@ _DIAGNOSTIC_TOKENS = frozenset({
     "overheating",
     "overload",
     "uptime",
+    "vpn",
     "uberhitzung",
     "ueberhitzung",
     "ueberlast",
@@ -175,13 +189,10 @@ class ActuatorReconciliationService:
             selected = entity.entity_id in selected_ids
             if selected:
                 score = max(score, 1.0)
-            if not selected and (
+            if not selected and _is_diagnostic_context(entity):
-                _is_diagnostic_context(entity)
-                or not _has_context_relationship(actuator, entity)
-            ):
-                continue
-            if not selected and score < 0.1:
                 continue
+            if not selected and not _has_context_relationship(actuator, entity):
+                score = max(score, 0.01)
             ranked.append((score, _context_sort_group(entity), entity))
         ranked.sort(
             key=lambda item: (
@@ -849,12 +860,17 @@ def _merge_manual_candidates(
     for entity_id in selected_entity_ids:
         existing = by_id.get(entity_id)
         if existing is not None:
+            evidence = [
+                item
+                for item in existing.evidence
+                if item != "Manuell vom Nutzer als relevant festgelegt."
+            ]
             by_id[entity_id] = existing.model_copy(
                 update={
                     "auto_accepted": True,
                     "confidence": 1.0,
                     "evidence": [
-                        *existing.evidence,
+                        *evidence,
                         "Manuell vom Nutzer als relevant festgelegt.",
                     ],
                 }
@@ -883,13 +899,28 @@ def _merge_manual_candidates(
 
 def _preferred_device_classes(domain: str, *, context: bool) -> frozenset[str]:
     if context:
-        return frozenset({"door", "garage_door", "motion", "occupancy", "opening", "presence"})
+        mapping = {
+            "climate": {"occupancy", "presence", "window"},
+            "cover": {"illuminance", "wind_speed"},
+            "fan": {"humidity", "moisture", "occupancy", "presence", "temperature"},
+            "humidifier": {"humidity", "moisture", "temperature"},
+            "light": {"door", "garage_door", "motion", "occupancy", "opening", "presence", "window"},
+            "switch": {"door", "garage_door", "motion", "occupancy", "opening", "presence", "window"},
+        }
+        return frozenset(
+            mapping.get(
+                domain,
+                {"door", "garage_door", "motion", "occupancy", "opening", "presence"},
+            )
+        )
     mapping = {
-        "climate": {"temperature", "humidity", "power"},
+        "climate": {"temperature", "humidity"},
         "cover": {"illuminance", "temperature", "wind_speed"},
-        "fan": {"temperature", "humidity", "power"},
+        "fan": {"temperature", "humidity", "moisture"},
-        "humidifier": {"humidity", "temperature", "power"},
+        "humidifier": {"humidity", "moisture", "temperature"},
-        "light": {"illuminance", "power", "energy"},
+        "light": {"illuminance"},
+        "media_player": {"power", "energy"},
+        "remote": {"battery"},
         "switch": {"power", "energy", "current"},
         "valve": {"temperature", "pressure", "humidity"},
     }

app/api/v1/actuators.py

@@ -55,6 +55,21 @@ class ActuatorSuggestion(BaseModel):
     likely_context_count: int = 0
 
 
+class ActuatorSummary(BaseModel):
+    actuator_entity_id: str
+    domain: str
+    enabled: bool
+    behavior_mode: str
+    behavior_status: str
+    lifecycle_status: str
+    activation_ready: bool
+    activation_reason: str
+    sample_count: int
+    prediction_target_state: str | None = None
+    prediction_confidence: float | None = None
+    updated_at: str
+
+
 @router.get("/discovery", response_model=list[HaEntitySummary])
 def discover_actuators(ha_reader: HaReader = Depends(get_ha_reader)) -> list[HaEntitySummary]:
     entities = {entity.entity_id: entity for entity in ha_reader.read_entities()}
@@ -143,6 +158,35 @@ def context_options(
         raise HTTPException(status_code=404, detail=str(exc)) from exc
 
 
+@router.get("/summary", response_model=list[ActuatorSummary])
+def list_configured_summary(request: Request) -> list[ActuatorSummary]:
+    return [
+        ActuatorSummary(
+            actuator_entity_id=record.actuator_entity_id,
+            domain=record.actuator_entity_id.split(".", 1)[0],
+            enabled=record.enabled,
+            behavior_mode=record.behavior.mode.value,
+            behavior_status=record.behavior.status.value,
+            lifecycle_status=record.lifecycle.status.value,
+            activation_ready=record.behavior.activation_ready,
+            activation_reason=record.behavior.activation_reason,
+            sample_count=record.behavior.sample_count,
+            prediction_target_state=(
+                record.behavior.prediction.target_state
+                if record.behavior.prediction is not None
+                else None
+            ),
+            prediction_confidence=(
+                record.behavior.prediction.confidence
+                if record.behavior.prediction is not None
+                else None
+            ),
+            updated_at=record.updated_at.isoformat(),
+        )
+        for record in _service(request).list_configured()
+    ]
+
+
 @router.get("", response_model=list[ActuatorRecord])
 def list_configured(request: Request) -> list[ActuatorRecord]:
     return _service(request).list_configured()

app/behavior/engine.py

@@ -900,6 +900,8 @@ def predict_behavior(
 def service_for_state(domain: str, target_state: str) -> str | None:
     if domain in {"fan", "humidifier", "light", "media_player", "remote", "switch"}:
         return {"on": "turn_on", "off": "turn_off"}.get(target_state)
+    if domain == "scene":
+        return "turn_on" if target_state == "on" else None
     if domain == "cover":
         return {"open": "open_cover", "closed": "close_cover"}.get(target_state)
     return None

app/ha/discovery.py

@@ -95,6 +95,7 @@ _ACTUATOR_DOMAINS = frozenset({
     "media_player",
     "number",
     "remote",
+    "scene",
     "siren",
     "switch",
     "valve",
@@ -229,6 +230,8 @@ def _actuator_category(entity: HaEntitySummary) -> str:
         return "fan"
     if entity.domain in {"media_player", "remote"}:
         return "media_tv"
+    if entity.domain == "scene":
+        return "scene"
     if entity.domain in {"input_boolean", "number"}:
         return "helper"
     return entity.domain

app/main.py

@@ -105,7 +105,7 @@ async def lifespan(app: FastAPI) -> AsyncIterator[None]:
 app = FastAPI(
     title="SillyHome Next API",
     description="Lokales Smart-Home-Intelligenzsystem für Home Assistant.",
-    version="0.7.16",
+    version="0.7.19",
     lifespan=lifespan,
 )
 app.state.settings = load_settings()
@@ -211,7 +211,11 @@ async def _ha_event_listener(app: FastAPI, client: HaClient) -> None:
         if ws_status is not None:
             ws_status.status = "connecting"
         try:
-            async with websockets.connect(ws_url, ping_interval=None) as websocket:
+            async with websockets.connect(
+                ws_url,
+                ping_interval=20,
+                ping_timeout=10,
+            ) as websocket:
                 auth_required_msg = await websocket.recv()
                 auth_required_data = json.loads(auth_required_msg)
                 if auth_required_data.get("type") != "auth_required":
@@ -263,6 +267,8 @@ async def _ha_event_listener(app: FastAPI, client: HaClient) -> None:
                             continue
                         new_state = event_data.get("new_state")
                         _update_ha_state_cache(state_cache, entity_id, new_state)
+                        if not _is_relevant_state_change(store, str(entity_id)):
+                            continue
                         # Prüfe, ob Entity ein Aktor oder relevanter Kontext ist
                         # Sofortige Vorhersage für betroffene Aktoren auslösen
                         await asyncio.to_thread(
@@ -280,17 +286,17 @@ async def _ha_event_listener(app: FastAPI, client: HaClient) -> None:
             websockets.exceptions.InvalidStatus,
             OSError,
         ) as exc:
-            logger.warning("WebSocket-Verbindung unterbrochen: %s. Wiederholung in 5s...", exc)
+            logger.warning("WebSocket-Verbindung unterbrochen: %s. Wiederholung in 1s...", exc)
             if ws_status is not None:
                 ws_status.status = "reconnecting"
                 ws_status.error = str(exc)
-            await asyncio.sleep(5)
+            await asyncio.sleep(1)
         except Exception as exc:
             logger.exception("Unerwarteter Fehler im Event-Listener: %s", exc)
             if ws_status is not None:
                 ws_status.status = "error"
                 ws_status.error = str(exc)
-            await asyncio.sleep(5)
+            await asyncio.sleep(1)
 
 
 # Fallback: periodische Vorhersage falls Event-Stream ausfällt
@@ -341,6 +347,17 @@ def _update_ha_state_cache(
     )
 
 
+def _is_relevant_state_change(store: ActuatorStore, entity_id: str) -> bool:
+    for record in store.list():
+        if record.actuator_entity_id == entity_id:
+            return True
+        if record.assignment.selected_numeric_entity_id == entity_id:
+            return True
+        if entity_id in record.assignment.selected_context_entity_ids:
+            return True
+    return False
+
+
 def _ha_entity_from_event(
     entity_id: str,
     new_state: dict[str, object],

app/static/index.html

@@ -144,6 +144,7 @@
           <option value="humidifier">Befeuchter / Entfeuchter</option>
           <option value="media_player">TV / Medien</option>
           <option value="remote">Fernbedienungen</option>
+          <option value="scene">Szenen</option>
           <option value="number">Numerische Helper</option>
           <option value="valve">Ventile</option>
         </select>
@@ -185,8 +186,21 @@ let currentActuatorId = null;
 let actuatorChoices = [];
 let contextOptions = [];
 let manualContextState = {options: [], selected: new Set()};
+let cachedActuators = null;
+let cachedEntities = null;
+let cachedDiscovery = null;
 const ACTUATOR_RESULT_LIMIT = 50;
 
+function uniqueValues(values) {
+  return [...new Set(values.filter(Boolean))];
+}
+
+function invalidateDashboardCache() {
+  cachedActuators = null;
+  cachedEntities = null;
+  cachedDiscovery = null;
+}
+
 async function api(path, options = {}) {
   const response = await fetch(path, {headers: {"Content-Type": "application/json"}, ...options});
   const body = response.status === 204 ? null : await response.json().catch(() => ({}));
@@ -195,7 +209,9 @@ async function api(path, options = {}) {
 }
 
 function lifecycleLabel(record) {
-  if (record.behavior.status === "trained") return "Kontext erkannt";
+  const behaviorStatus = record.behavior_status || record.behavior?.status;
+  const lifecycleStatus = record.lifecycle_status || record.lifecycle?.status;
+  if (behaviorStatus === "trained") return "Kontext erkannt";
   const labels = {
     trained: "lernt",
     pending_history: "sammelt Historie",
@@ -204,26 +220,32 @@ function lifecycleLabel(record) {
     archived: "wartet auf Kontext",
     orphaned: "Aktor nicht gefunden",
   };
-  return labels[record.lifecycle.status] || record.lifecycle.status;
+  return labels[lifecycleStatus] || lifecycleStatus;
 }
 
 function statusClass(record) {
-  if (record.behavior.status === "trained") return "ok";
+  const behaviorStatus = record.behavior_status || record.behavior?.status;
-  if (record.lifecycle.status === "trained") return "ok";
+  const lifecycleStatus = record.lifecycle_status || record.lifecycle?.status;
-  if (["pending_history", "pending_assignment", "archived"].includes(record.lifecycle.status)) return "warn";
+  if (behaviorStatus === "trained") return "ok";
+  if (lifecycleStatus === "trained") return "ok";
+  if (["pending_history", "pending_assignment", "archived"].includes(lifecycleStatus)) return "warn";
   return "bad";
 }
 
 function behaviorLabel(record) {
-  if (record.behavior.mode === "active") return "aktiv freigegeben";
+  const mode = record.behavior_mode || record.behavior?.mode;
-  if (record.behavior.status === "trained") return "Shadow-Vorhersage";
+  const status = record.behavior_status || record.behavior?.status;
-  if (record.behavior.status === "blocked") return "Lernen blockiert";
+  if (mode === "active") return "aktiv freigegeben";
+  if (status === "trained") return "Shadow-Vorhersage";
+  if (status === "blocked") return "Lernen blockiert";
   return "sammelt Handlungen";
 }
 
 function predictionLabel(record) {
-  return record.behavior.prediction
+  const target = record.prediction_target_state || record.behavior?.prediction?.target_state;
-    ? `${record.behavior.prediction.target_state} (${Math.round(record.behavior.prediction.confidence * 100)} %)`
+  const confidence = record.prediction_confidence ?? record.behavior?.prediction?.confidence;
+  return target
+    ? `${target} (${Math.round(confidence * 100)} %)`
     : "Keine fällige Aktion";
 }
 
@@ -251,14 +273,33 @@ function matchesSearch(entity, query) {
 
 function categoryForEntity(entity) {
   const cls = entity.device_class || "";
+  const text = normalizedSearch([
+    entity.entity_id,
+    entity.friendly_name,
+    entity.area_name,
+    entity.device_name,
+  ].filter(Boolean).join(" "));
+  if (["pv", "solar", "akku", "batterie", "battery", "einspeisung", "wechselrichter"].some(token => text.includes(token))) {
+    return "PV / Akku / Einspeisung";
+  }
+  if (entity.domain === "fan") return "Lüftung / Ventilatoren";
+  if (entity.domain === "climate") return "Heizung / Klima";
+  if (entity.domain === "weather") return "Wetter";
+  if (entity.domain === "person" || entity.domain === "device_tracker") return "Anwesenheit / Personen";
+  if (entity.domain === "cover") return "Rollläden / Cover";
   if (entity.domain === "light") return "Lichtzustände";
-  if (entity.domain === "switch") return "Schalter / Helper";
+  if (entity.domain === "switch") return "Schalter / Steckdosen";
+  if (entity.domain.startsWith("input_")) return "Helper";
+  if (entity.domain === "scene") return "Szenen";
+  if (entity.domain === "media_player" || entity.domain === "remote") return "TV / Medien";
   if (["motion", "occupancy", "presence"].includes(cls)) return "PIR / Präsenz";
   if (["illuminance"].includes(cls)) return "Helligkeit";
   if (["door", "garage_door", "opening", "window"].includes(cls)) return "Tür / Fenster";
+  if (["smoke", "safety", "problem"].includes(cls)) return "Sicherheit / Diagnose";
   if (["humidity", "moisture"].includes(cls)) return "Luftfeuchtigkeit";
   if (["temperature"].includes(cls)) return "Temperatur";
   if (["power", "energy", "current", "voltage"].includes(cls)) return "Strom / Energie";
+  if (["battery", "signal_strength"].includes(cls)) return "Batterie / Signal";
   if (entity.domain === "binary_sensor") return "Binäre Sensoren";
   if (entity.domain === "sensor") return "Weitere Messsensoren";
   return "Weitere Zustände";
@@ -305,18 +346,36 @@ async function loadOverview() {
     status.innerHTML = `<p class="bad">${escapeHtml(error.message)}</p>`;
     chips.innerHTML = "";
   }
-  await Promise.all([loadActuatorDiscovery(), loadConfiguredActuators()]);
+  await loadDashboardData();
+  renderActuatorDiscovery();
+  renderConfiguredActuators();
   void loadActuatorSuggestions();
 }
 
+async function loadDashboardData() {
+  const [actuators, entities, discovery] = await Promise.all([
+    api("v1/actuators/summary"),
+    Promise.resolve([]),
+    api("v1/actuators/discovery"),
+  ]);
+  cachedActuators = actuators;
+  cachedEntities = entities;
+  cachedDiscovery = discovery;
+}
+
 async function loadActuatorDiscovery() {
+  if (!cachedActuators || !cachedDiscovery) {
+    await loadDashboardData();
+  }
+  renderActuatorDiscovery();
+}
+
+function renderActuatorDiscovery() {
   const options = document.getElementById("actuator-options");
   const select = document.getElementById("actuator-select");
   try {
-    const [available, configured] = await Promise.all([
+    const available = cachedDiscovery || [];
-      api("v1/actuators/discovery"),
+    const configured = cachedActuators || [];
-      api("v1/actuators"),
-    ]);
     const configuredIds = new Set(configured.map(record => record.actuator_entity_id));
     actuatorChoices = available.filter(entity => !configuredIds.has(entity.entity_id));
     options.innerHTML = actuatorChoices.slice(0, 120).map(entity =>
@@ -366,6 +425,7 @@ function actuatorGroupLabel(domain) {
     media_player: "TV / Medien",
     number: "Numerische Helper",
     remote: "Fernbedienungen",
+    scene: "Szenen",
     switch: "Schalter / Steckdosen",
     cover: "Rollläden / Cover",
     fan: "Lüftung / Ventilatoren",
@@ -463,12 +523,17 @@ async function configureActuator() {
 }
 
 async function loadConfiguredActuators() {
+  if (!cachedActuators || !cachedEntities) {
+    await loadDashboardData();
+  }
+  renderConfiguredActuators();
+}
+
+function renderConfiguredActuators() {
   const box = document.getElementById("configured-actuators");
   try {
-    const [rows, entities] = await Promise.all([
+    const rows = cachedActuators || [];
-      api("v1/actuators"),
+    const entities = cachedEntities || [];
-      api("v1/entities"),
-    ]);
     const entityMap = new Map(entities.map(entity => [entity.entity_id, entity]));
     const groups = new Map();
     for (const record of rows) {
@@ -493,15 +558,15 @@ async function loadConfiguredActuators() {
               <span class="chip">${escapeHtml(lifecycleLabel(record))}</span>
             </div>
             <div class="metric-grid">
-              <div class="metric"><strong>Freigabe</strong><span class="${record.behavior.activation_ready ? "ok" : "warn"}">${escapeHtml(record.behavior.activation_ready ? "bereit" : record.behavior.activation_reason)}</span></div>
+              <div class="metric"><strong>Freigabe</strong><span class="${record.activation_ready ? "ok" : "warn"}">${escapeHtml(record.activation_ready ? "bereit" : record.activation_reason)}</span></div>
-              <div class="metric"><strong>Handlungen</strong>${record.behavior.sample_count}</div>
+              <div class="metric"><strong>Handlungen</strong>${record.sample_count}</div>
               <div class="metric"><strong>Vorhersage</strong>${escapeHtml(predictionLabel(record))}</div>
             </div>
             <div class="actions">
               <button onclick="showActuator('${escapeHtml(record.actuator_entity_id)}')">Details öffnen</button>
-              ${record.behavior.mode === "active"
+              ${record.behavior_mode === "active"
                 ? `<button class="danger" onclick="setActivation('${escapeHtml(record.actuator_entity_id)}', false, false, true)">Stoppen + HA-Automationen fortsetzen</button>`
-                : record.behavior.activation_ready
+                : record.activation_ready
                   ? `<button onclick="setActivation('${escapeHtml(record.actuator_entity_id)}', true, true, false)">SillyHome übernehmen lassen</button>`
                   : ""}
               <button class="danger" onclick="removeActuator('${escapeHtml(record.actuator_entity_id)}')">Entfernen</button>
@@ -532,7 +597,7 @@ async function showActuator(actuatorId, evaluationMessage = "") {
     ].filter(Boolean);
     const evidence = [...record.numeric_candidates, ...record.context_candidates]
       .filter(candidate => contexts.includes(candidate.entity_id))
-      .map(candidate => `<li><strong>${escapeHtml(candidate.friendly_name || candidate.entity_id)}</strong>: ${candidate.evidence.map(escapeHtml).join(", ") || "statistisch relevanter Kandidat"}</li>`)
+      .map(candidate => `<li><strong>${escapeHtml(candidate.friendly_name || candidate.entity_id)}</strong>: ${uniqueValues(candidate.evidence).map(escapeHtml).join(", ") || "statistisch relevanter Kandidat"}</li>`)
       .join("");
     const currentContextControls = contexts.length
       ? `<ul>${contexts.map(entityId => `
@@ -686,6 +751,7 @@ async function saveManualAssignment(actuatorId) {
         note: "Manuell im Dashboard gesetzt",
       }),
     });
+    invalidateDashboardCache();
     await loadConfiguredActuators();
     await showActuator(actuatorId, "Manuelle Kontext-Auswahl gespeichert.");
   } catch (error) {
@@ -709,6 +775,7 @@ async function removeContextEntity(actuatorId, entityId) {
         note: `Entity ${entityId} entfernt`,
       }),
     });
+    invalidateDashboardCache();
     await loadConfiguredActuators();
     await showActuator(actuatorId, "Kontext-Entity entfernt.");
   } catch (error) {
@@ -733,6 +800,7 @@ async function evaluateActuator(actuatorId) {
     const message = record.behavior.prediction
       ? `Prüfung ${checkedAt}: ${record.behavior.prediction.target_state} mit ${Math.round(record.behavior.prediction.confidence * 100)} % vorhergesagt.`
       : `Prüfung ${checkedAt}: Kein frischer passender Sensorwechsel erkannt; aktuell ist keine Aktion fällig.`;
+    invalidateDashboardCache();
     await loadConfiguredActuators();
     await showActuator(actuatorId, message);
   } catch (error) {
@@ -750,6 +818,7 @@ async function sendFeedback(actuatorId, correct) {
         expected_state: expectedState || null,
       }),
     });
+    invalidateDashboardCache();
     await loadConfiguredActuators();
     await showActuator(actuatorId, correct ? "Vorhersage als korrekt gelernt." : "Vorhersage als falsch markiert.");
   } catch (error) {
@@ -775,6 +844,7 @@ async function setActivation(actuatorId, active, pauseMatchingAutomations, resto
         restore_paused_automations: restorePausedAutomations,
       }),
     });
+    invalidateDashboardCache();
     await loadConfiguredActuators();
     await showActuator(actuatorId);
   } catch (error) {
@@ -793,6 +863,7 @@ async function setRelatedAutomation(actuatorId, automationEntityId, enabled) {
         enabled,
       }),
     });
+    invalidateDashboardCache();
     await loadConfiguredActuators();
     await showActuator(actuatorId);
   } catch (error) {

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sillyhome-next"
-version = "0.7.16"
+version = "0.7.19"
 description = "Lokales Smart-Home-Intelligenzsystem für Home Assistant"
 requires-python = ">=3.11"
 dependencies = [

tests/actuators/test_lifecycle.py

@@ -310,6 +310,48 @@ def test_reconciliation_does_not_auto_select_overload_sensors_by_power_area(
     assert all(candidate.auto_accepted is False for candidate in record.context_candidates)
 
 
+def test_fan_prefers_humidity_over_power_sensor(tmp_path: Path) -> None:
+    start = datetime(2026, 6, 1, tzinfo=timezone.utc)
+    entities = [
+        HaEntitySummary(
+            entity_id="fan.bad_lueftung",
+            domain="fan",
+            friendly_name="Bad Lüftung",
+            area_name="Bad",
+        ),
+        HaEntitySummary(
+            entity_id="sensor.bad_luftfeuchtigkeit",
+            domain="sensor",
+            device_class="humidity",
+            state_class="measurement",
+            unit_of_measurement="%",
+            friendly_name="Bad Luftfeuchtigkeit",
+            area_name="Bad",
+        ),
+        HaEntitySummary(
+            entity_id="sensor.bad_power",
+            domain="sensor",
+            device_class="power",
+            state_class="measurement",
+            unit_of_measurement="W",
+            friendly_name="Bad Leistung",
+            area_name="Bad",
+        ),
+    ]
+    service = _service(
+        tmp_path,
+        entities,
+        {
+            "sensor.bad_luftfeuchtigkeit": _points(8, start, 55.0),
+            "sensor.bad_power": _points(8, start, 5.0),
+        },
+    )
+
+    record = service.configure_actuator("fan.bad_lueftung")
+
+    assert record.assignment.selected_numeric_entity_id == "sensor.bad_luftfeuchtigkeit"
+
+
 def test_manual_assignment_persists_and_wins_over_automatic_mapping(tmp_path: Path) -> None:
     start = datetime(2026, 6, 1, tzinfo=timezone.utc)
     entities = [
@@ -358,3 +400,39 @@ def test_manual_assignment_persists_and_wins_over_automatic_mapping(tmp_path: Pa
     assert record.assignment.selected_context_entity_ids == ["sensor.abstellkammer_illuminance"]
     assert record.assignment.source is AssignmentSource.MANUAL
     assert record.manual_override is not None
+
+
+def test_manual_assignment_evidence_is_not_duplicated(tmp_path: Path) -> None:
+    entities = [
+        HaEntitySummary(
+            entity_id="light.abstellkammer",
+            domain="light",
+            friendly_name="Abstellkammer Licht",
+            area_name="Abstellkammer",
+        ),
+        HaEntitySummary(
+            entity_id="binary_sensor.abstellkammer_motion",
+            domain="binary_sensor",
+            device_class="motion",
+            friendly_name="Abstellkammer Bewegung",
+            area_name="Abstellkammer",
+        ),
+    ]
+    service = _service(tmp_path, entities, {})
+    service.configure_actuator("light.abstellkammer")
+    for _ in range(3):
+        service.set_manual_assignment(
+            "light.abstellkammer",
+            numeric_entity_id=None,
+            context_entity_ids=["binary_sensor.abstellkammer_motion"],
+            note="Manuell gesetzt",
+        )
+
+    record = service.get_actuator("light.abstellkammer")
+    candidate = next(
+        item
+        for item in record.context_candidates
+        if item.entity_id == "binary_sensor.abstellkammer_motion"
+    )
+
+    assert candidate.evidence.count("Manuell vom Nutzer als relevant festgelegt.") == 1

tests/test_main.py

@@ -94,7 +94,8 @@ def test_ha_event_listener_processes_state_change(tmp_path: Path) -> None:
 
         connect.assert_called_once_with(
             "ws://homeassistant:8123/api/websocket",
-            ping_interval=None,
+            ping_interval=20,
+            ping_timeout=10,
         )
         assert fake_ws.sent == [
             {"type": "auth", "access_token": "test-token"},
@@ -110,6 +111,7 @@ def test_ha_event_listener_processes_state_change(tmp_path: Path) -> None:
     mock_app.state.behavior_engine = mock_engine
     mock_app.state.ha_reader = _FakeHaReader()
     mock_store = ActuatorStore(tmp_path / "store")
+    mock_store.configure("light.test")
     mock_app.state.actuator_store = mock_store
     mock_client = MagicMock()