Fix realtime HA state-change execution

CHANGELOG.md

@@ -1,5 +1,61 @@
 # Changelog
 
+## 0.7.10 - 2026-06-16
+- WebSocket-State-Changes aktualisieren einen internen Home-Assistant-State-
+  Cache und werten Aktoren direkt gegen diesen frischen Event-Zustand aus.
+- Event-Auswertungen lösen keine REST-Statusabfrage mehr aus, bevor sie
+  aktive Aktoren schalten.
+
+## 0.7.9 - 2026-06-15
+- Event-basierte Vorhersagen verwenden den frischen Sensorzustand direkt aus
+  dem Home-Assistant-WebSocket-Event, damit Kontextwechsel ohne REST-Race sofort
+  bewertet und geschaltet werden können
+- Regressionstest stellt sicher, dass ein Türsensor-Event trotz veraltetem
+  HA-Snapshot direkt `light.turn_on` auslöst
+
+## 0.7.8 - 2026-06-15
+- Home-Assistant-WebSocket-Listener deaktiviert den clientseitigen Keepalive-
+  Ping, damit stabile HA-Verbindungen nicht durch Ping-Timeouts ständig neu
+  aufgebaut werden
+- Fallback-Auswertung läuft bei getrenntem WebSocket kurzfristig alle 5 Sekunden,
+  damit übernommene Aktoren nicht ohne Steuerung bleiben
+
+## 0.7.7 - 2026-06-15
+- WebSocket-State-Changes lesen jetzt das echte Home-Assistant-Eventformat
+  (`event.data.entity_id`), damit Kontextwechsel wie Türsensoren sofort
+  Vorhersagen und Schaltungen auslösen statt erst beim nächsten Statusabruf
+
+## 0.7.6 - 2026-06-14
+- Kontextvorschläge blenden zusätzlich Batterie-, Status-, Node-, Last-Seen-
+  und Basic-Entities aus, sofern sie nicht bewusst manuell ausgewählt wurden
+
+## 0.7.5 - 2026-06-14
+- Kontextvorschläge weiter geschärft: Standardliste zeigt nur gleiche Räume,
+  gemeinsame Geräte/Tokens oder echte globale Außenwerte
+- Diagnosewerte wie MQTT-, WiFi-, Restart- und Connect-Zähler werden nicht mehr
+  als fachliche Kontextvorschläge angeboten
+
+## 0.7.4 - 2026-06-14
+- Kontext-Auswahl liefert jetzt aktorbezogene Vorschläge statt einer pauschalen
+  Roh-Liste aller Sensoren und Zustände
+- Dashboard-Auswahl für Aktoren und Kontext nach Typ/Kategorie gruppiert und
+  durchsuchbar; lange Listen werden begrenzt statt mobil unbedienbar zu werden
+- Manuelle Entity-ID-Eingabe ergänzt, damit relevante Sensoren auch ohne
+  Dropdown-Treffer gespeichert werden können
+- Irrelevante System-/VPN-/pfSense-Sensoren tauchen bei Lichtaktoren ohne
+  fachlichen Bezug nicht mehr als Standardvorschläge auf
+
+## 0.7.3 - 2026-06-14
+- Automatische Kontextzuordnung ignoriert generische Bereiche wie `Monitoring`,
+  damit System-/Disk-/Überhitzungssensoren nicht fälschlich Lichtaktoren erklären
+- Aktor-Auswahl auf tatsächlich sicher steuerbare Domains begrenzt:
+  `light`, `switch`, `cover`, `fan`, `humidifier`
+- Neue manuelle Kontext-Zuordnung pro Aktor: Haupt-Messsensor optional setzen und
+  mehrere relevante Kontext-Entities wie PIR, Außenhelligkeit, Luftfeuchtigkeit
+  oder andere Lichtzustände auswählen
+- Dashboard-Dropdown durch echtes Select plus Suche ersetzt; mobile Bedienung und
+  Aktor-Details enthalten Speichern/Neu-laden-Aktionen für manuelle Kontextwahl
+
 ## 0.7.2 - 2026-06-14
 - Home-Assistant-Entity-Metadaten werden in Batches gelesen, damit große HA-
   Installationen nicht mehr am Template-Ausgabe-Limit scheitern

addon/config.yaml

@@ -1,5 +1,5 @@
 name: SillyHome Next
-version: "0.7.2"
+version: "0.7.10"
 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

@@ -13,6 +13,7 @@ from app.actuators.models import (
     AssignmentSource,
     LifecycleAuditEntry,
     LifecycleStatus,
+    ManualOverride,
     ModelLifecycleState,
     ReconciliationState,
     model_id_for_actuator,
@@ -47,6 +48,7 @@ _STOPWORDS = frozenset(
         "light",
         "licht",
         "lichtschalter",
+        "monitoring",
         "power",
         "sensor",
         "state",
@@ -55,6 +57,7 @@ _STOPWORDS = frozenset(
         "value",
     }
 )
+_GENERIC_AREA_NAMES = frozenset({"monitoring", "system", "technik"})
 _NUMERIC_AUTO_ACCEPT_SCORE = 0.82
 _NUMERIC_AUTO_ACCEPT_MIN_SCORE = 0.5
 _NUMERIC_MIN_MARGIN = 0.18
@@ -62,6 +65,45 @@ _CONTEXT_AUTO_ACCEPT_SCORE = 0.78
 _CONTEXT_AUTO_ACCEPT_MIN_SCORE = 0.3
 _MAX_CONTEXT_SELECTIONS = 5
 _AUDIT_LIMIT = 20
+_MANUAL_CONTEXT_DOMAINS = frozenset({
+    "binary_sensor",
+    "climate",
+    "cover",
+    "device_tracker",
+    "fan",
+    "humidifier",
+    "light",
+    "person",
+    "sensor",
+    "switch",
+    "weather",
+})
+_CONTEXT_SUGGESTION_LIMIT = 120
+_OUTDOOR_TOKENS = frozenset({"aussen", "außen", "outdoor", "garten", "terrasse", "balkon"})
+_DIAGNOSTIC_TOKENS = frozenset({
+    "basic",
+    "battery",
+    "connect",
+    "count",
+    "diagnostic",
+    "firmware",
+    "gesehen",
+    "last",
+    "linkquality",
+    "knoten",
+    "knotens",
+    "mqtt",
+    "node",
+    "reason",
+    "restart",
+    "rssi",
+    "signal",
+    "ssid",
+    "status",
+    "uptime",
+    "wifi",
+    "zuletzt",
+})
 
 
 class ActuatorReconciliationService:
@@ -88,11 +130,117 @@ class ActuatorReconciliationService:
     def get_actuator(self, actuator_entity_id: str) -> ActuatorRecord:
         return self._store.get(actuator_entity_id)
 
+    def suggest_context_options(
+        self,
+        actuator_entity_id: str,
+        *,
+        limit: int = _CONTEXT_SUGGESTION_LIMIT,
+    ) -> list[HaEntitySummary]:
+        entities = {entity.entity_id: entity for entity in self._ha_reader.read_entities()}
+        discovered = {entity.entity_id: entity for entity in self._ha_reader.discover()}
+        actuator = entities.get(actuator_entity_id)
+        if actuator is None:
+            raise KeyError("Aktuator-Konfiguration nicht gefunden.")
+        selected_ids = _selected_context_ids(self._store.get(actuator_entity_id))
+        ranked: list[tuple[float, str, HaEntitySummary]] = []
+        for entity in entities.values():
+            if entity.entity_id == actuator_entity_id or entity.domain not in _MANUAL_CONTEXT_DOMAINS:
+                continue
+            role = _manual_context_role(entity, discovered.get(entity.entity_id))
+            score, _ = _score_candidate(
+                actuator,
+                entity,
+                role,
+                context=role is not EntityRole.MEASUREMENT,
+            )
+            selected = entity.entity_id in selected_ids
+            if selected:
+                score = max(score, 1.0)
+            if not selected and (
+                _is_diagnostic_context(entity)
+                or not _has_context_relationship(actuator, entity)
+            ):
+                continue
+            if not selected and score < 0.1:
+                continue
+            ranked.append((score, _context_sort_group(entity), entity))
+        ranked.sort(
+            key=lambda item: (
+                -item[0],
+                item[1],
+                item[2].area_name or "",
+                item[2].friendly_name or item[2].entity_id,
+                item[2].entity_id,
+            )
+        )
+        return [entity for _, _, entity in ranked[:limit]]
+
     def delete_actuator(self, actuator_entity_id: str) -> None:
         model_id = model_id_for_actuator(actuator_entity_id)
         self._registry.archive(model_id)
         self._store.delete(actuator_entity_id)
 
+    def set_manual_assignment(
+        self,
+        actuator_entity_id: str,
+        *,
+        numeric_entity_id: str | None,
+        context_entity_ids: list[str],
+        note: str | None = None,
+    ) -> ActuatorRecord:
+        now = datetime.now(timezone.utc)
+        record = self._store.get(actuator_entity_id)
+        entities = {entity.entity_id: entity for entity in self._ha_reader.read_entities()}
+        actuator = entities.get(actuator_entity_id)
+        if actuator is None:
+            raise KeyError("Aktuator-Konfiguration nicht gefunden.")
+        selected_context_ids = list(dict.fromkeys(context_entity_ids))
+        selected_ids = [
+            entity_id
+            for entity_id in [numeric_entity_id, *selected_context_ids]
+            if entity_id
+        ]
+        missing = [entity_id for entity_id in selected_ids if entity_id not in entities]
+        if missing:
+            raise ValueError(f"Unbekannte Home-Assistant-Entity: {', '.join(missing)}")
+        if actuator_entity_id in selected_ids:
+            raise ValueError("Der Aktor selbst kann nicht als Kontextsensor verwendet werden.")
+
+        override = ManualOverride(
+            numeric_entity_id=numeric_entity_id,
+            context_entity_ids=selected_context_ids,
+            updated_at=now,
+            note=note,
+        )
+        assignment = self._manual_assignment(override)
+        lifecycle = self._reconcile_lifecycle(
+            actuator=actuator,
+            assignment=assignment,
+            lifecycle=record.lifecycle.model_copy(update={"last_reconciled_at": now}),
+            now=now,
+        )
+        updated = record.model_copy(
+            update={
+                "assignment": assignment,
+                "manual_override": override,
+                "numeric_candidates": _merge_manual_candidates(
+                    record.numeric_candidates,
+                    entities,
+                    [numeric_entity_id] if numeric_entity_id else [],
+                    role=EntityRole.MEASUREMENT,
+                ),
+                "context_candidates": _merge_manual_candidates(
+                    record.context_candidates,
+                    entities,
+                    selected_context_ids,
+                    role=EntityRole.CONTEXT,
+                ),
+                "lifecycle": lifecycle,
+                "updated_at": now,
+            }
+        )
+        return self._store.upsert(updated)
+
     def reconcile_all(self, trigger: str = "manual") -> ReconciliationState:
         state = self._store.load_reconciliation_state().model_copy(
             update={
@@ -198,10 +346,14 @@ class ActuatorReconciliationService:
             ),
             context=True,
         )
-        assignment = self._select_assignment(
-            actuator=actuator,
-            numeric_candidates=numeric_candidates,
-            context_candidates=context_candidates,
+        assignment = (
+            self._manual_assignment(record.manual_override)
+            if record.manual_override is not None
+            else self._select_assignment(
+                actuator=actuator,
+                numeric_candidates=numeric_candidates,
+                context_candidates=context_candidates,
+            )
         )
         lifecycle = self._reconcile_lifecycle(
             actuator=actuator,
@@ -212,7 +364,7 @@ class ActuatorReconciliationService:
         updated = record.model_copy(
             update={
                 "assignment": assignment,
-                "manual_override": None,
+                "manual_override": record.manual_override,
                 "numeric_candidates": numeric_candidates,
                 "context_candidates": context_candidates,
                 "lifecycle": lifecycle,
@@ -228,6 +380,23 @@ class ActuatorReconciliationService:
         )
         return updated
 
+    @staticmethod
+    def _manual_assignment(override: ManualOverride) -> AssignmentSelection:
+        selected_context_ids = list(dict.fromkeys(override.context_entity_ids))
+        selected_count = len(selected_context_ids) + (1 if override.numeric_entity_id else 0)
+        return AssignmentSelection(
+            selected_numeric_entity_id=override.numeric_entity_id,
+            selected_context_entity_ids=selected_context_ids,
+            source=AssignmentSource.MANUAL,
+            confidence=1.0 if selected_count else 0.0,
+            review_required=selected_count == 0,
+            reason=(
+                f"Manuell festgelegt: {selected_count} Kontext-Entity(s) werden verwendet."
+                if selected_count
+                else "Manuelle Zuordnung enthält noch keine Kontext-Entities."
+            ),
+        )
+
     def _select_assignment(
         self,
         *,
@@ -507,6 +676,73 @@ def _filter_candidates(
     return result
 
 
+def _selected_context_ids(record: ActuatorRecord) -> set[str]:
+    result = set(record.assignment.selected_context_entity_ids)
+    if record.assignment.selected_numeric_entity_id:
+        result.add(record.assignment.selected_numeric_entity_id)
+    if record.manual_override is not None:
+        result.update(record.manual_override.context_entity_ids)
+        if record.manual_override.numeric_entity_id:
+            result.add(record.manual_override.numeric_entity_id)
+    return result
+
+
+def _manual_context_role(
+    entity: HaEntitySummary,
+    discovered: DiscoveredEntity | None,
+) -> EntityRole:
+    if discovered is not None and discovered.role is not EntityRole.UNSUPPORTED:
+        return discovered.role
+    if entity.domain == "sensor":
+        return EntityRole.MEASUREMENT
+    if entity.domain == "binary_sensor":
+        return EntityRole.BINARY_CONTEXT
+    return EntityRole.CONTEXT
+
+
+def _context_sort_group(entity: HaEntitySummary) -> str:
+    device_class = entity.device_class or ""
+    if device_class in {"motion", "occupancy", "presence"}:
+        return "01_presence"
+    if device_class in {"illuminance"}:
+        return "02_brightness"
+    if device_class in {"door", "garage_door", "opening", "window"}:
+        return "03_opening"
+    if device_class in {"humidity", "moisture"}:
+        return "04_humidity"
+    if device_class in {"power", "energy", "current", "voltage"}:
+        return "05_power"
+    if entity.domain in {"light", "switch"}:
+        return "06_states"
+    return f"20_{entity.domain}_{device_class}"
+
+
+def _is_diagnostic_context(entity: HaEntitySummary) -> bool:
+    tokens = _metadata_tokens(entity, include_stopwords=True)
+    return bool(tokens.intersection(_DIAGNOSTIC_TOKENS))
+
+
+def _has_context_relationship(actuator: HaEntitySummary, entity: HaEntitySummary) -> bool:
+    if (
+        actuator.area_name
+        and entity.area_name
+        and actuator.area_name == entity.area_name
+        and actuator.area_name.lower() not in _GENERIC_AREA_NAMES
+    ):
+        return True
+    if actuator.device_id and entity.device_id and actuator.device_id == entity.device_id:
+        return True
+    if actuator.device_name and entity.device_name and actuator.device_name == entity.device_name:
+        return True
+    if _metadata_tokens(actuator).intersection(_metadata_tokens(entity)):
+        return True
+    entity_tokens = _metadata_tokens(entity, include_stopwords=True)
+    return bool(
+        entity_tokens.intersection(_OUTDOOR_TOKENS)
+        and entity.device_class in {"illuminance", "humidity", "temperature"}
+    )
+
+
 def _score_candidate(
     actuator: HaEntitySummary,
     entity: HaEntitySummary,
@@ -522,7 +758,12 @@ def _score_candidate(
     if overlap:
         score += min(0.4, 0.1 * len(overlap))
         evidence.append(f"Gemeinsame Tokens: {', '.join(overlap[:4])}")
-    if actuator.area_name and entity.area_name and actuator.area_name == entity.area_name:
+    if (
+        actuator.area_name
+        and entity.area_name
+        and actuator.area_name == entity.area_name
+        and actuator.area_name.lower() not in _GENERIC_AREA_NAMES
+    ):
         score += 0.35
         evidence.append(f"Gleicher Bereich: {actuator.area_name}")
     if actuator.device_id and entity.device_id and actuator.device_id == entity.device_id:
@@ -547,9 +788,59 @@ def _score_candidate(
     if context and role is EntityRole.BINARY_CONTEXT:
         score += 0.05
         evidence.append("Binärer Kontextsensor bevorzugt für Zusatzkontext.")
+    if entity_tokens.intersection(_OUTDOOR_TOKENS) and entity.device_class in {
+        "illuminance",
+        "humidity",
+        "temperature",
+    }:
+        score += 0.1
+        evidence.append("Außenmesswert ist oft als übergreifender Kontext relevant.")
     return round(min(score, 1.0), 4), evidence
 
 
+def _merge_manual_candidates(
+    candidates: list[AssignmentCandidate],
+    entities: dict[str, HaEntitySummary],
+    selected_entity_ids: list[str],
+    *,
+    role: EntityRole,
+) -> list[AssignmentCandidate]:
+    by_id = {candidate.entity_id: candidate for candidate in candidates}
+    for entity_id in selected_entity_ids:
+        existing = by_id.get(entity_id)
+        if existing is not None:
+            by_id[entity_id] = existing.model_copy(
+                update={
+                    "auto_accepted": True,
+                    "confidence": 1.0,
+                    "evidence": [
+                        *existing.evidence,
+                        "Manuell vom Nutzer als relevant festgelegt.",
+                    ],
+                }
+            )
+            continue
+        entity = entities.get(entity_id)
+        if entity is None:
+            continue
+        by_id[entity_id] = AssignmentCandidate(
+            entity_id=entity.entity_id,
+            domain=entity.domain,
+            role=role,
+            device_class=entity.device_class,
+            state_class=entity.state_class,
+            unit_of_measurement=entity.unit_of_measurement,
+            friendly_name=entity.friendly_name,
+            area_name=entity.area_name,
+            device_name=entity.device_name,
+            score=1.0,
+            confidence=1.0,
+            auto_accepted=True,
+            evidence=["Manuell vom Nutzer als relevant festgelegt."],
+        )
+    return sorted(by_id.values(), key=lambda item: (-item.confidence, item.entity_id))
+
+
 def _preferred_device_classes(domain: str, *, context: bool) -> frozenset[str]:
     if context:
         return frozenset({"door", "garage_door", "motion", "occupancy", "opening", "presence"})
@@ -565,7 +856,7 @@ def _preferred_device_classes(domain: str, *, context: bool) -> frozenset[str]:
     return frozenset(mapping.get(domain, {"power", "energy", "temperature"}))
 
 
-def _metadata_tokens(entity: HaEntitySummary) -> set[str]:
+def _metadata_tokens(entity: HaEntitySummary, *, include_stopwords: bool = False) -> set[str]:
     raw_values = [
         entity.entity_id,
         entity.friendly_name,
@@ -577,7 +868,7 @@ def _metadata_tokens(entity: HaEntitySummary) -> set[str]:
         if value is None:
             continue
         for token in _TOKEN_PATTERN.findall(value.lower().replace("_", " ")):
-            if len(token) < 3 or token in _STOPWORDS:
+            if len(token) < 3 or (not include_stopwords and token in _STOPWORDS):
                 continue
             tokens.add(token)
     return tokens

app/api/v1/actuators.py

@@ -32,6 +32,12 @@ class AutomationControlRequest(BaseModel):
     enabled: bool
 
 
+class ManualAssignmentRequest(BaseModel):
+    numeric_entity_id: str | None = Field(default=None, pattern=r"^[a-z0-9_]+\.[a-z0-9_]+$")
+    context_entity_ids: list[str] = Field(default_factory=list)
+    note: str | None = Field(default=None, max_length=500)
+
+
 @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()}
@@ -42,6 +48,19 @@ def discover_actuators(ha_reader: HaReader = Depends(get_ha_reader)) -> list[HaE
     return [entities[entity_id] for entity_id in actuator_ids if entity_id in entities]
 
 
+@router.get("/context-options", response_model=list[HaEntitySummary])
+def context_options(
+    request: Request,
+    actuator_entity_id: str | None = Query(default=None, pattern=r"^[a-z0-9_]+\.[a-z0-9_]+$"),
+) -> list[HaEntitySummary]:
+    if actuator_entity_id is None:
+        return []
+    try:
+        return _service(request).suggest_context_options(actuator_entity_id)
+    except KeyError as exc:
+        raise HTTPException(status_code=404, detail=str(exc)) from exc
+
+
 @router.get("", response_model=list[ActuatorRecord])
 def list_configured(request: Request) -> list[ActuatorRecord]:
     return _service(request).list_configured()
@@ -116,6 +135,27 @@ def set_activation(
         raise HTTPException(status_code=409, detail=str(exc)) from exc
 
 
+@router.post("/{actuator_entity_id}/assignment", response_model=ActuatorRecord)
+def set_manual_assignment(
+    actuator_entity_id: str,
+    payload: ManualAssignmentRequest,
+    request: Request,
+) -> ActuatorRecord:
+    try:
+        record = _service(request).set_manual_assignment(
+            actuator_entity_id,
+            numeric_entity_id=payload.numeric_entity_id,
+            context_entity_ids=payload.context_entity_ids,
+            note=payload.note,
+        )
+        _behavior(request).train(record.actuator_entity_id)
+        return _behavior(request).evaluate(record.actuator_entity_id)
+    except KeyError as exc:
+        raise HTTPException(status_code=404, detail=str(exc)) from exc
+    except ValueError as exc:
+        raise HTTPException(status_code=422, detail=str(exc)) from exc
+
+
 @router.post(
     "/{actuator_entity_id}/related-automations/refresh",
     response_model=ActuatorRecord,

app/behavior/engine.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import logging
+from collections.abc import Sequence
 from datetime import datetime, timedelta, timezone
 from zoneinfo import ZoneInfo
 
@@ -18,6 +19,7 @@ from app.actuators.store import ActuatorStore
 from app.config import Settings
 from app.ha.exceptions import HaClientError
 from app.ha.history import LogbookEntry, StateHistoryPoint, StateHistorySeries
+from app.ha.models import HaEntitySummary
 from app.ha.reader import HaReader
 
 _MAX_PATTERNS = 500
@@ -187,23 +189,32 @@ class BehaviorEngine:
                 results.append(record)
         return results
 
-    def evaluate(self, actuator_entity_id: str) -> ActuatorRecord:
+    def evaluate(
+        self,
+        actuator_entity_id: str,
+        *,
+        context_state_overrides: dict[str, str | None] | None = None,
+        context_changed_at_overrides: dict[str, datetime | None] | None = None,
+        current_entities: Sequence[HaEntitySummary] | None = None,
+    ) -> ActuatorRecord:
         record = self._store.get(actuator_entity_id)
         now = datetime.now(timezone.utc)
-        try:
-            entities = {entity.entity_id: entity for entity in self._ha_reader.read_entities()}
-        except HaClientError as exc:
-            logger.warning("Current HA state unavailable for %s: %s", actuator_entity_id, exc)
-            return self._save_behavior(
-                record,
-                record.behavior.model_copy(
-                    update={
-                        "last_evaluated_at": now,
-                        "prediction": None,
-                        "reason": f"Aktueller Home-Assistant-Zustand ist nicht verfügbar: {exc}",
-                    }
-                ),
-            )
+        if current_entities is None:
+            try:
+                current_entities = self._ha_reader.read_entities()
+            except HaClientError as exc:
+                logger.warning("Current HA state unavailable for %s: %s", actuator_entity_id, exc)
+                return self._save_behavior(
+                    record,
+                    record.behavior.model_copy(
+                        update={
+                            "last_evaluated_at": now,
+                            "prediction": None,
+                            "reason": f"Aktueller Home-Assistant-Zustand ist nicht verfügbar: {exc}",
+                        }
+                    ),
+                )
+        entities = {entity.entity_id: entity for entity in current_entities}
         actuator = entities.get(actuator_entity_id)
         if actuator is None:
             return self._save_behavior(
@@ -230,6 +241,22 @@ class BehaviorEngine:
             entity_id: entities[entity_id].last_changed
             for entity_id in current_context
         }
+        selected_context_ids = {
+            entity_id
+            for entity_id in (
+                [
+                    record.assignment.selected_numeric_entity_id,
+                    *record.assignment.selected_context_entity_ids,
+                ]
+            )
+            if entity_id
+        }
+        for entity_id, state in (context_state_overrides or {}).items():
+            if entity_id in selected_context_ids and state is not None:
+                current_context[entity_id] = state
+        for entity_id, changed_at in (context_changed_at_overrides or {}).items():
+            if entity_id in current_context:
+                current_context_changed_at[entity_id] = changed_at or now
         prediction = predict_behavior(
             record.behavior.patterns,
             current_context=current_context,
@@ -608,20 +635,30 @@ class BehaviorEngine:
         )
         return self._store.upsert(updated)
 
-    def handle_state_change(self, entity_id: str, new_state: dict[str, object] | None) -> None:
+    def handle_state_change(
+        self,
+        entity_id: str,
+        new_state: dict[str, object] | None,
+        *,
+        current_entities: Sequence[HaEntitySummary] | None = None,
+    ) -> None:
         """Wird bei jedem HA-State-Change aufgerufen und löst sofortige Vorhersage aus.
 
         - Wenn entity_id ein Aktor ist: evaluate() direkt.
         - Wenn entity_id ein Kontext-Entity ist: alle betroffenen Aktoren evaluieren.
+        - Wenn current_entities gesetzt ist, kommt die Auswertung direkt aus dem
+          WebSocket-State-Cache statt aus einer frischen REST-Abfrage.
         """
         # Aktor direkt evaluieren
         for record in self._store.list():
             if record.actuator_entity_id == entity_id:
                 try:
-                    self.evaluate(record.actuator_entity_id)
+                    self.evaluate(record.actuator_entity_id, current_entities=current_entities)
                 except Exception:
                     logger.exception("Event-basierte Vorhersage fehlgeschlagen für %s", record.actuator_entity_id)
                 return
+        event_state = _event_state(new_state)
+        event_changed_at = _event_changed_at(new_state) or datetime.now(timezone.utc)
         # Kontext-Entity: alle Aktoren finden, die diesen Kontext nutzen
         affected_actuators = [
             record.actuator_entity_id
@@ -633,11 +670,38 @@ class BehaviorEngine:
         ]
         for actuator_entity_id in affected_actuators:
             try:
-                self.evaluate(actuator_entity_id)
+                self.evaluate(
+                    actuator_entity_id,
+                    context_state_overrides={entity_id: event_state},
+                    context_changed_at_overrides={entity_id: event_changed_at},
+                    current_entities=current_entities,
+                )
             except Exception:
                 logger.exception("Event-basierte Vorhersage fehlgeschlagen für %s", actuator_entity_id)
 
 
+def _event_state(new_state: dict[str, object] | None) -> str | None:
+    if not isinstance(new_state, dict):
+        return None
+    state = new_state.get("state")
+    return state if isinstance(state, str) else None
+
+
+def _event_changed_at(new_state: dict[str, object] | None) -> datetime | None:
+    if not isinstance(new_state, dict):
+        return None
+    value = new_state.get("last_changed") or new_state.get("last_updated")
+    if not isinstance(value, str):
+        return None
+    try:
+        parsed = datetime.fromisoformat(value.replace("Z", "+00:00"))
+    except ValueError:
+        return None
+    if parsed.tzinfo is None:
+        return parsed.replace(tzinfo=timezone.utc)
+    return parsed
+
+
 def predict_behavior(
     patterns: list[BehaviorPattern],
     *,

app/ha/discovery.py

@@ -82,18 +82,11 @@ _BINARY_CONTEXT_CLASSES = frozenset({
     "window",
 })
 _ACTUATOR_DOMAINS = frozenset({
-    "button",
-    "climate",
     "cover",
     "fan",
     "humidifier",
     "light",
-    "lock",
-    "scene",
-    "select",
-    "siren",
     "switch",
-    "valve",
 })
 _CONTEXT_DOMAINS = frozenset({"device_tracker", "person", "sun", "weather", "zone"})
 _LEARNABLE_CONTEXT_DOMAINS = frozenset({"device_tracker", "person", "weather"})

app/main.py

@@ -3,6 +3,7 @@ import json
 import logging
 from contextlib import asynccontextmanager, suppress
 from collections.abc import AsyncIterator
+from datetime import datetime, timezone
 from pathlib import Path
 from typing import cast
 
@@ -19,6 +20,7 @@ from app.behavior.engine import BehaviorEngine
 from app.config import load_settings
 from app.core.exception_handlers import register_exception_handlers
 from app.ha.client import HaClient, HaClientSettings
+from app.ha.models import HaEntitySummary
 from app.ha.reader import HaReader
 from app.ml.registry.model_registry import ModelRegistry
 from backend.routes.ml import init_ml_routes
@@ -100,7 +102,7 @@ async def lifespan(app: FastAPI) -> AsyncIterator[None]:
 app = FastAPI(
     title="SillyHome Next API",
     description="Lokales Smart-Home-Intelligenzsystem für Home Assistant.",
-    version="0.7.2",
+    version="0.7.10",
     lifespan=lifespan,
 )
 app.state.settings = load_settings()
@@ -155,14 +157,20 @@ async def _ha_event_listener(app: FastAPI, client: HaClient) -> None:
     """Hört auf Home-Assistant-Websocket-Events und löst sofortige Vorhersagen aus."""
     settings = app.state.settings
     engine = app.state.behavior_engine
+    ha_reader = getattr(app.state, "ha_reader", None)
     store = app.state.actuator_store
-    if not isinstance(engine, BehaviorEngine) or not isinstance(store, ActuatorStore):
+    if (
+        not isinstance(engine, BehaviorEngine)
+        or not isinstance(store, ActuatorStore)
+        or not isinstance(ha_reader, HaReader)
+    ):
         logger.error("BehaviorEngine oder ActuatorStore nicht initialisiert")
         ws_status = getattr(app.state, "ws_status", None)
         if ws_status is not None:
             ws_status.status = "error"
             ws_status.error = "BehaviorEngine oder ActuatorStore nicht initialisiert"
         return
+    state_cache: dict[str, HaEntitySummary] = {}
     ha_url = str(settings.ha_url).rstrip("/")
     ws_url = ha_url.replace("http://", "ws://").replace("https://", "wss://") + "/api/websocket"
     auth_token = cast(str, settings.ha_token)
@@ -171,7 +179,7 @@ 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) as websocket:
+            async with websockets.connect(ws_url, ping_interval=None) as websocket:
                 auth_required_msg = await websocket.recv()
                 auth_required_data = json.loads(auth_required_msg)
                 if auth_required_data.get("type") != "auth_required":
@@ -194,6 +202,7 @@ async def _ha_event_listener(app: FastAPI, client: HaClient) -> None:
                     continue
 
                 logger.info("WebSocket-Verbindung zu Home Assistant hergestellt")
+                state_cache = await asyncio.to_thread(_load_ha_state_cache, ha_reader)
                 if ws_status is not None:
                     ws_status.status = "connected"
                     ws_status.error = None
@@ -213,12 +222,23 @@ async def _ha_event_listener(app: FastAPI, client: HaClient) -> None:
                         event = data.get("event", {})
                         if event.get("event_type") != "state_changed":
                             continue
-                        entity_id = event.get("entity_id")
+                        event_data = event.get("data", {})
+                        if not isinstance(event_data, dict):
+                            logger.warning("State-Changed-Event ohne gültige Daten empfangen")
+                            continue
+                        entity_id = event_data.get("entity_id")
                         if not entity_id:
                             continue
+                        new_state = event_data.get("new_state")
+                        _update_ha_state_cache(state_cache, entity_id, new_state)
                         # Prüfe, ob Entity ein Aktor oder relevanter Kontext ist
                         # Sofortige Vorhersage für betroffene Aktoren auslösen
-                        await asyncio.to_thread(engine.handle_state_change, entity_id, event.get("new_state"))
+                        await asyncio.to_thread(
+                            engine.handle_state_change,
+                            entity_id,
+                            new_state,
+                            current_entities=list(state_cache.values()),
+                        )
                     except json.JSONDecodeError:
                         logger.warning("Ungültige JSON-Nachricht von HA-WebSocket")
                     except Exception as exc:
@@ -244,7 +264,13 @@ async def _fallback_prediction(app: FastAPI) -> None:
     Dies verhindert kompletten Ausfall der Vorhersagen bei Netzwerkproblemen.
     """
     while True:
-        await asyncio.sleep(app.state.settings.prediction_interval_seconds)
+        ws_status = getattr(app.state, "ws_status", None)
+        websocket_connected = ws_status is not None and ws_status.status == "connected"
+        await asyncio.sleep(
+            app.state.settings.prediction_interval_seconds
+            if websocket_connected
+            else min(5, app.state.settings.prediction_interval_seconds)
+        )
         # Nur ausführen, wenn WebSocket nicht verbunden ist
         ws_status = getattr(app.state, "ws_status", None)
         if ws_status is None or ws_status.status != "connected":
@@ -255,3 +281,67 @@ async def _fallback_prediction(app: FastAPI) -> None:
                     ws_status.status if ws_status else "unavailable",
                 )
                 await asyncio.to_thread(engine.evaluate_all)
+
+
+def _load_ha_state_cache(reader: HaReader) -> dict[str, HaEntitySummary]:
+    return {entity.entity_id: entity for entity in reader.read_entities()}
+
+
+def _update_ha_state_cache(
+    state_cache: dict[str, HaEntitySummary],
+    entity_id: str,
+    new_state: object,
+) -> None:
+    if not isinstance(new_state, dict):
+        state_cache.pop(entity_id, None)
+        return
+    state_cache[entity_id] = _ha_entity_from_event(
+        entity_id,
+        new_state,
+        state_cache.get(entity_id),
+    )
+
+
+def _ha_entity_from_event(
+    entity_id: str,
+    new_state: dict[str, object],
+    previous: HaEntitySummary | None,
+) -> HaEntitySummary:
+    attributes = new_state.get("attributes")
+    attr = attributes if isinstance(attributes, dict) else {}
+    state_class = _optional_event_string(attr.get("state_class"))
+    device_class = _optional_event_string(attr.get("device_class"))
+    unit_of_measurement = _optional_event_string(attr.get("unit_of_measurement"))
+    friendly_name = _optional_event_string(attr.get("friendly_name"))
+    return HaEntitySummary(
+        entity_id=entity_id,
+        domain=entity_id.split(".", 1)[0],
+        state=_optional_event_string(new_state.get("state")),
+        last_changed=_event_datetime(new_state.get("last_changed"))
+        or _event_datetime(new_state.get("last_updated")),
+        state_class=state_class or (previous.state_class if previous else None),
+        device_class=device_class or (previous.device_class if previous else None),
+        unit_of_measurement=unit_of_measurement
+        or (previous.unit_of_measurement if previous else None),
+        friendly_name=friendly_name or (previous.friendly_name if previous else None),
+        area_id=previous.area_id if previous else None,
+        area_name=previous.area_name if previous else None,
+        device_id=previous.device_id if previous else None,
+        device_name=previous.device_name if previous else None,
+    )
+
+
+def _optional_event_string(value: object) -> str | None:
+    return value if isinstance(value, str) else None
+
+
+def _event_datetime(value: object) -> datetime | None:
+    if not isinstance(value, str):
+        return None
+    try:
+        parsed = datetime.fromisoformat(value.replace("Z", "+00:00"))
+    except ValueError:
+        return None
+    if parsed.tzinfo is None:
+        return parsed.replace(tzinfo=timezone.utc)
+    return parsed

app/static/index.html

@@ -26,6 +26,7 @@
     .bad { color: #ff8f8f; }
     label { display: block; margin: 9px 0 4px; color: #b9c9d6; }
     select,input,button { box-sizing: border-box; width: 100%; border-radius: 10px; border: 1px solid #3b4b5b; padding: 12px; background: #101820; color: #fff; font:inherit; }
+    select[multiple] { min-height:190px; }
     button { min-height:44px; margin-top: 10px; background: #23715b; border: 0; font-weight: 700; cursor: pointer; }
     button.secondary { background: #37495c; }
     button.danger { background: #7b3434; }
@@ -49,6 +50,11 @@
     .actions { display:flex; flex-wrap:wrap; gap:8px; margin-top:10px; }
     .actions button { flex:1 1 180px; margin-top:0; }
     .detail-header { display:flex; justify-content:space-between; gap:12px; align-items:flex-start; flex-wrap:wrap; }
+    .manual-context { margin-top:14px; background:#111a23; border:1px solid #31404d; border-radius:14px; padding:14px; }
+    .inline-controls { display:grid; grid-template-columns:repeat(auto-fit,minmax(160px,1fr)); gap:8px; margin:8px 0; }
+    .manual-entry { min-height:80px; resize:vertical; }
+    textarea { box-sizing:border-box; width:100%; border-radius:10px; border:1px solid #3b4b5b; padding:12px; background:#101820; color:#fff; font:inherit; }
+    optgroup { color:#cfe0ec; background:#101820; }
     code { color:#cfe0ec; overflow-wrap:anywhere; }
     @media (max-width: 760px) {
       header { padding:18px 14px; }
@@ -121,6 +127,27 @@
     <label for="actuator-input">Entitätsname oder Gerät aus Home Assistant</label>
     <input id="actuator-input" list="actuator-options" placeholder="z. B. light.licht_abstellraum" autocomplete="off">
     <datalist id="actuator-options"></datalist>
+    <div class="inline-controls">
+      <div>
+        <label for="actuator-domain-filter">Typ</label>
+        <select id="actuator-domain-filter" onchange="renderActuatorSelect()">
+          <option value="">Alle steuerbaren Typen</option>
+          <option value="light">Lichter</option>
+          <option value="switch">Schalter / Helper</option>
+          <option value="cover">Rollläden / Cover</option>
+          <option value="fan">Lüftung / Ventilatoren</option>
+          <option value="humidifier">Befeuchter / Entfeuchter</option>
+        </select>
+      </div>
+      <div>
+        <label for="actuator-search">Liste durchsuchen</label>
+        <input id="actuator-search" placeholder="Raum, Gerät oder Entity" oninput="renderActuatorSelect()" autocomplete="off">
+      </div>
+    </div>
+    <label for="actuator-select">Oder aus Liste wählen</label>
+    <select id="actuator-select" onchange="selectActuatorFromList()">
+      <option value="">Geräteliste wird geladen ...</option>
+    </select>
     <button onclick="configureActuator()">Gerät hinzufügen und Beobachtung starten</button>
     <p id="actuator-config-result" class="muted">Noch kein Aktor ausgewählt.</p>
   </section>
@@ -145,6 +172,9 @@ const escapeHtml = value => String(value ?? "")
   .replaceAll('"', "&quot;")
   .replaceAll("'", "&#039;");
 let currentActuatorId = null;
+let actuatorChoices = [];
+let contextOptions = [];
+let manualContextState = {options: [], selected: new Set()};
 
 async function api(path, options = {}) {
   const response = await fetch(path, {headers: {"Content-Type": "application/json"}, ...options});
@@ -186,6 +216,61 @@ function predictionLabel(record) {
     : "Keine fällige Aktion";
 }
 
+function entityLabel(entity) {
+  const area = entity.area_name || "Ohne Bereich";
+  const name = entity.friendly_name || entity.entity_id;
+  return `${area} - ${name} (${entity.entity_id})`;
+}
+
+function normalizedSearch(value) {
+  return String(value || "").toLowerCase().replaceAll("_", " ");
+}
+
+function matchesSearch(entity, query) {
+  if (!query) return true;
+  return normalizedSearch([
+    entity.entity_id,
+    entity.friendly_name,
+    entity.area_name,
+    entity.device_name,
+    entity.device_class,
+    entity.domain,
+  ].filter(Boolean).join(" ")).includes(query);
+}
+
+function categoryForEntity(entity) {
+  const cls = entity.device_class || "";
+  if (entity.domain === "light") return "Lichtzustände";
+  if (entity.domain === "switch") return "Schalter / Helper";
+  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 (["humidity", "moisture"].includes(cls)) return "Luftfeuchtigkeit";
+  if (["temperature"].includes(cls)) return "Temperatur";
+  if (["power", "energy", "current", "voltage"].includes(cls)) return "Strom / Energie";
+  if (entity.domain === "binary_sensor") return "Binäre Sensoren";
+  if (entity.domain === "sensor") return "Weitere Messsensoren";
+  return "Weitere Zustände";
+}
+
+function optionGroups(entities, selectedIds = new Set()) {
+  const groups = new Map();
+  for (const entity of entities) {
+    const category = categoryForEntity(entity);
+    if (!groups.has(category)) groups.set(category, []);
+    groups.get(category).push(entity);
+  }
+  return Array.from(groups.entries()).map(([label, items]) => `
+    <optgroup label="${escapeHtml(label)}">
+      ${items.map(entity => `
+        <option value="${escapeHtml(entity.entity_id)}" ${selectedIds.has(entity.entity_id) ? "selected" : ""}>
+          ${escapeHtml(entityLabel(entity))}
+        </option>
+      `).join("")}
+    </optgroup>
+  `).join("");
+}
+
 async function loadOverview() {
   const status = document.getElementById("status");
   const chips = document.getElementById("status-chips");
@@ -214,23 +299,101 @@ async function loadOverview() {
 
 async function loadActuatorDiscovery() {
   const options = document.getElementById("actuator-options");
+  const select = document.getElementById("actuator-select");
   try {
     const [available, configured] = await Promise.all([
       api("v1/actuators/discovery"),
       api("v1/actuators"),
     ]);
     const configuredIds = new Set(configured.map(record => record.actuator_entity_id));
-    const choices = available.filter(entity => !configuredIds.has(entity.entity_id));
-    options.innerHTML = choices.map(entity =>
+    actuatorChoices = available.filter(entity => !configuredIds.has(entity.entity_id));
+    options.innerHTML = actuatorChoices.slice(0, 120).map(entity =>
       `<option value="${escapeHtml(entity.entity_id)}">${escapeHtml(entity.friendly_name || entity.entity_id)}${entity.area_name ? ` (${escapeHtml(entity.area_name)})` : ""}</option>`
     ).join("");
+    renderActuatorSelect();
   } catch (error) {
     options.innerHTML = "";
+    select.innerHTML = `<option value="">Geräteliste konnte nicht geladen werden</option>`;
   }
 }
 
+function actuatorGroupLabel(domain) {
+  const labels = {
+    light: "Lichter",
+    switch: "Schalter / Helper",
+    cover: "Rollläden / Cover",
+    fan: "Lüftung / Ventilatoren",
+    humidifier: "Befeuchter / Entfeuchter",
+  };
+  return labels[domain] || domain;
+}
+
+function renderActuatorSelect() {
+  const select = document.getElementById("actuator-select");
+  if (!select) return;
+  const domain = document.getElementById("actuator-domain-filter")?.value || "";
+  const query = normalizedSearch(document.getElementById("actuator-search")?.value || "");
+  const filtered = actuatorChoices
+    .filter(entity => !domain || entity.domain === domain)
+    .filter(entity => matchesSearch(entity, query))
+    .slice(0, 120);
+  const domains = [...new Set(filtered.map(entity => entity.domain))].sort();
+  select.innerHTML = [
+    `<option value="">${filtered.length ? "Gerät auswählen ..." : "Keine passenden Geräte gefunden"}</option>`,
+    ...domains.map(group => `
+      <optgroup label="${escapeHtml(actuatorGroupLabel(group))}">
+        ${filtered
+          .filter(entity => entity.domain === group)
+          .map(entity => `<option value="${escapeHtml(entity.entity_id)}">${escapeHtml(entityLabel(entity))}</option>`)
+          .join("")}
+      </optgroup>
+    `),
+  ].join("");
+}
+
+async function loadContextOptions(actuatorId) {
+  try {
+    contextOptions = await api(`v1/actuators/context-options?actuator_entity_id=${encodeURIComponent(actuatorId)}`);
+  } catch (error) {
+    contextOptions = [];
+  }
+}
+
+function selectActuatorFromList() {
+  const value = document.getElementById("actuator-select").value;
+  if (value) document.getElementById("actuator-input").value = value;
+}
+
+function renderManualContextSelect() {
+  const select = document.getElementById("manual-context-select");
+  if (!select) return;
+  const category = document.getElementById("manual-context-category")?.value || "";
+  const query = normalizedSearch(document.getElementById("manual-context-filter")?.value || "");
+  const selectedNow = new Set([
+    ...manualContextState.selected,
+    ...Array.from(select.selectedOptions).map(option => option.value),
+  ]);
+  const filtered = manualContextState.options
+    .filter(entity => !category || categoryForEntity(entity) === category)
+    .filter(entity => matchesSearch(entity, query))
+    .slice(0, 80);
+  select.innerHTML = filtered.length
+    ? optionGroups(filtered, selectedNow)
+    : `<option value="">Keine passenden Vorschläge</option>`;
+}
+
+function parseEntityIds(value) {
+  return String(value || "")
+    .split(/[\s,;]+/)
+    .map(item => item.trim())
+    .filter(Boolean);
+}
+
 async function configureActuator() {
-  const actuatorId = document.getElementById("actuator-input").value.trim();
+  const actuatorId = (
+    document.getElementById("actuator-input").value.trim()
+    || document.getElementById("actuator-select").value.trim()
+  );
   const result = document.getElementById("actuator-config-result");
   if (!actuatorId) return;
   result.textContent = "Kontext wird automatisch analysiert ...";
@@ -296,6 +459,7 @@ async function showActuator(actuatorId, evaluationMessage = "") {
     } catch (_) {
       record = await api(`v1/actuators/${encodeURIComponent(actuatorId)}`);
     }
+    await loadContextOptions(actuatorId);
     const contexts = [
       record.assignment.selected_numeric_entity_id,
       ...record.assignment.selected_context_entity_ids,
@@ -309,6 +473,55 @@ async function showActuator(actuatorId, evaluationMessage = "") {
       pattern => pattern.source === "automation",
     ).length;
     const relatedAutomations = record.behavior.related_automations || [];
+    const manualContextIds = new Set(record.assignment.selected_context_entity_ids || []);
+    const numericOptions = contextOptions.filter(entity => entity.domain === "sensor");
+    const suggestedIds = new Set(contextOptions.map(entity => entity.entity_id));
+    const manualOnlyIds = [
+      record.assignment.selected_numeric_entity_id,
+      ...manualContextIds,
+    ].filter(entityId => entityId && !suggestedIds.has(entityId));
+    const contextCategories = [...new Set(contextOptions
+      .filter(entity => entity.entity_id !== record.actuator_entity_id)
+      .map(categoryForEntity))]
+      .sort();
+    manualContextState = {
+      options: contextOptions.filter(entity => entity.entity_id !== record.actuator_entity_id),
+      selected: manualContextIds,
+    };
+    const manualAssignment = `
+      <div class="manual-context">
+        <h3>Kontext selbst festlegen</h3>
+        <p class="muted">Die Vorschläge sind aktorbezogen vorsortiert. Wenn etwas fehlt, trage die Entity-ID unten manuell ein, z. B. PIR, Helligkeit außen, Luftfeuchtigkeit oder Lichtzustände.</p>
+        <label for="manual-numeric-select">Optionaler Haupt-Messsensor</label>
+        <select id="manual-numeric-select">
+          <option value="">Keinen numerischen Hauptsensor verwenden</option>
+          ${optionGroups(numericOptions, new Set([record.assignment.selected_numeric_entity_id].filter(Boolean)))}
+        </select>
+        <div class="inline-controls">
+          <div>
+            <label for="manual-context-category">Kategorie</label>
+            <select id="manual-context-category" onchange="renderManualContextSelect()">
+              <option value="">Alle relevanten Vorschläge</option>
+              ${contextCategories.map(category => `<option value="${escapeHtml(category)}">${escapeHtml(category)}</option>`).join("")}
+            </select>
+          </div>
+          <div>
+            <label for="manual-context-filter">Vorschläge durchsuchen</label>
+            <input id="manual-context-filter" placeholder="z. B. treppe, bewegung, lux" oninput="renderManualContextSelect()" autocomplete="off">
+          </div>
+        </div>
+        <label for="manual-context-select">Zusätzliche Kontext-Entities aus Vorschlägen</label>
+        <select id="manual-context-select" multiple>
+          ${optionGroups(manualContextState.options.slice(0, 80), manualContextIds)}
+        </select>
+        <label for="manual-context-freeform">Entity-IDs manuell ergänzen</label>
+        <textarea id="manual-context-freeform" class="manual-entry" placeholder="Eine oder mehrere Entity-IDs, getrennt durch Komma, Leerzeichen oder neue Zeilen">${escapeHtml(manualOnlyIds.join("\n"))}</textarea>
+        <div class="actions">
+          <button onclick="saveManualAssignment('${escapeHtml(record.actuator_entity_id)}')">Diese Kontext-Auswahl speichern</button>
+          <button class="secondary" onclick="loadContextOptions('${escapeHtml(record.actuator_entity_id)}').then(() => showActuator('${escapeHtml(record.actuator_entity_id)}'))">Vorschläge neu laden</button>
+        </div>
+      </div>
+    `;
     const activationButton = record.behavior.mode === "active"
       ? `<button class="danger" onclick="setActivation('${escapeHtml(record.actuator_entity_id)}', false, false, true)">SillyHome stoppen und pausierte HA-Automationen fortsetzen</button>
          <button class="secondary" onclick="setActivation('${escapeHtml(record.actuator_entity_id)}', false, false, false)">SillyHome stoppen; HA-Automationen pausiert lassen</button>`
@@ -366,6 +579,7 @@ async function showActuator(actuatorId, evaluationMessage = "") {
       ${automationControls}
       <h3>Welche Zusammenhänge automatisch verwendet werden</h3>
       ${evidence ? `<ul>${evidence}</ul>` : "<p class='warn'>Noch kein geeigneter Kontext erkannt. SillyHome prüft bei neuen HA-Daten erneut.</p>"}
+      ${manualAssignment}
     `;
     document.getElementById("detail").scrollIntoView({behavior: "smooth", block: "start"});
   } catch (error) {
@@ -373,6 +587,32 @@ async function showActuator(actuatorId, evaluationMessage = "") {
   }
 }
 
+async function saveManualAssignment(actuatorId) {
+  const numericEntityId = document.getElementById("manual-numeric-select").value || null;
+  const selectedContextIds = Array.from(
+    document.getElementById("manual-context-select").selectedOptions,
+  ).map(option => option.value).filter(value => value.includes("."));
+  const freeformContextIds = parseEntityIds(
+    document.getElementById("manual-context-freeform").value,
+  );
+  const contextEntityIds = [...new Set([...selectedContextIds, ...freeformContextIds])]
+    .filter(entityId => entityId !== numericEntityId);
+  try {
+    await api(`v1/actuators/${encodeURIComponent(actuatorId)}/assignment`, {
+      method: "POST",
+      body: JSON.stringify({
+        numeric_entity_id: numericEntityId,
+        context_entity_ids: contextEntityIds,
+        note: "Manuell im Dashboard gesetzt",
+      }),
+    });
+    await loadConfiguredActuators();
+    await showActuator(actuatorId, "Manuelle Kontext-Auswahl gespeichert.");
+  } catch (error) {
+    alert(error.message);
+  }
+}
+
 async function evaluateActuator(actuatorId) {
   try {
     const record = await api(

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sillyhome-next"
-version = "0.7.2"
+version = "0.7.10"
 description = "Lokales Smart-Home-Intelligenzsystem für Home Assistant"
 requires-python = ">=3.11"
 dependencies = [

tests/actuators/test_lifecycle.py

@@ -7,7 +7,6 @@ from app.actuators.lifecycle import ActuatorReconciliationService
 from app.actuators.models import (
     AssignmentSource,
     LifecycleStatus,
-    ManualOverride,
     model_id_for_actuator,
 )
 from app.actuators.store import ActuatorStore
@@ -79,7 +78,7 @@ def _service(
             model_store=str(tmp_path / "models"),
             automation_store=str(tmp_path / "automations"),
             actuator_store=str(tmp_path / "actuators"),
-            history_days=14,
+            history_days=31,
             min_training_points=5,
             retrain_stale_hours=24,
             reconcile_interval_seconds=900,
@@ -240,7 +239,45 @@ def test_reconciliation_does_not_cross_assign_other_room_light_energy(
     assert record.lifecycle.status is LifecycleStatus.ARCHIVED
 
 
-def test_legacy_manual_override_is_cleared_and_automatic_mapping_wins(tmp_path: Path) -> None:
+def test_reconciliation_ignores_generic_monitoring_area_for_automatic_context(
+    tmp_path: Path,
+) -> None:
+    start = datetime(2026, 6, 1, tzinfo=timezone.utc)
+    entities = [
+        HaEntitySummary(
+            entity_id="light.abstellkammer",
+            domain="light",
+            friendly_name="Licht Abstellkammer",
+            area_name="Monitoring",
+        ),
+        HaEntitySummary(
+            entity_id="binary_sensor.disk_overheating",
+            domain="binary_sensor",
+            device_class="problem",
+            friendly_name="Max. fehlerhafte Sektoren ueberschritten",
+            area_name="Monitoring",
+        ),
+        HaEntitySummary(
+            entity_id="sensor.router_power",
+            domain="sensor",
+            device_class="power",
+            state_class="measurement",
+            unit_of_measurement="W",
+            friendly_name="Router Leistung",
+            area_name="Monitoring",
+        ),
+    ]
+    service = _service(tmp_path, entities, {"sensor.router_power": _points(8, start, 1.0)})
+
+    record = service.configure_actuator("light.abstellkammer")
+
+    assert record.assignment.selected_numeric_entity_id is None
+    assert record.assignment.selected_context_entity_ids == []
+    assert record.assignment.review_required is True
+    assert record.lifecycle.status is LifecycleStatus.ARCHIVED
+
+
+def test_manual_assignment_persists_and_wins_over_automatic_mapping(tmp_path: Path) -> None:
     start = datetime(2026, 6, 1, tzinfo=timezone.utc)
     entities = [
         HaEntitySummary(
@@ -273,21 +310,18 @@ def test_legacy_manual_override_is_cleared_and_automatic_mapping_wins(tmp_path:
         "sensor.abstellkammer_power": _points(8, start, 30.0),
     }
     service = _service(tmp_path, entities, history)
-    configured = service.configure_actuator("light.abstellkammer")
-    legacy = configured.model_copy(
-        update={
-            "manual_override": ManualOverride(
-                numeric_entity_id="sensor.abstellkammer_power",
-                context_entity_ids=[],
-                note="Alte manuelle Zuordnung",
-            )
-        }
+    service.configure_actuator("light.abstellkammer")
+    service.set_manual_assignment(
+        "light.abstellkammer",
+        numeric_entity_id="sensor.abstellkammer_power",
+        context_entity_ids=["sensor.abstellkammer_illuminance"],
+        note="Manuell wichtiger Sensor",
     )
-    service._store.upsert(legacy)
 
     restarted = _service(tmp_path, entities, history)
     record = restarted.reconcile_actuator("light.abstellkammer")
 
-    assert record.assignment.selected_numeric_entity_id == "sensor.abstellkammer_illuminance"
-    assert record.assignment.source.value == "automatic"
-    assert record.manual_override is None
+    assert record.assignment.selected_numeric_entity_id == "sensor.abstellkammer_power"
+    assert record.assignment.selected_context_entity_ids == ["sensor.abstellkammer_illuminance"]
+    assert record.assignment.source is AssignmentSource.MANUAL
+    assert record.manual_override is not None

tests/api/test_actuators.py

@@ -115,6 +115,14 @@ def _install_service(tmp_path: Path) -> None:
             friendly_name="Abstellkammer Bewegung",
             area_name="Abstellkammer",
         ),
+        HaEntitySummary(
+            entity_id="sensor.pfsense_interface_vpn_inbytes",
+            domain="sensor",
+            device_class="data_size",
+            state_class="measurement",
+            unit_of_measurement="KiB",
+            friendly_name="pfSense Interface VPN inbytes",
+        ),
     ]
     settings = Settings(
         ha_url="http://ha.local",
@@ -179,14 +187,43 @@ def test_actuator_api_configures_reconciles_and_removes(tmp_path: Path) -> None:
         assert client.get("/v1/actuators").json() == []
 
 
-def test_manual_override_endpoint_is_not_exposed(tmp_path: Path) -> None:
+def test_manual_assignment_endpoint_updates_context(tmp_path: Path) -> None:
     with TestClient(app) as client:
         _install_service(tmp_path)
         client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
 
         response = client.post(
-            "/v1/actuators/light.abstellkammer/override",
-            json={"numeric_entity_id": "sensor.abstellkammer_illuminance"},
+            "/v1/actuators/light.abstellkammer/assignment",
+            json={
+                "numeric_entity_id": "sensor.abstellkammer_illuminance",
+                "context_entity_ids": ["binary_sensor.abstellkammer_motion"],
+                "note": "Manuell gesetzt",
+            },
         )
 
-    assert response.status_code == 404
+    assert response.status_code == 200
+    payload = response.json()
+    assert payload["assignment"]["source"] == "manual"
+    assert payload["assignment"]["selected_numeric_entity_id"] == (
+        "sensor.abstellkammer_illuminance"
+    )
+    assert payload["assignment"]["selected_context_entity_ids"] == [
+        "binary_sensor.abstellkammer_motion"
+    ]
+
+
+def test_context_options_returns_learnable_entities(tmp_path: Path) -> None:
+    with TestClient(app) as client:
+        _install_service(tmp_path)
+
+        client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
+        response = client.get(
+            "/v1/actuators/context-options",
+            params={"actuator_entity_id": "light.abstellkammer"},
+        )
+
+    assert response.status_code == 200
+    entity_ids = {item["entity_id"] for item in response.json()}
+    assert "sensor.abstellkammer_illuminance" in entity_ids
+    assert "binary_sensor.abstellkammer_motion" in entity_ids
+    assert "sensor.pfsense_interface_vpn_inbytes" not in entity_ids

tests/behavior/test_engine.py

@@ -523,3 +523,137 @@ def test_prediction_ignores_stale_causal_context_state() -> None:
         min_support=1,
         window_minutes=30,
     ) is None
+
+
+def test_state_change_uses_websocket_context_state_for_immediate_action(
+    tmp_path: Path,
+) -> None:
+    now = datetime.now(timezone.utc).replace(microsecond=0)
+    settings = _settings(tmp_path)
+    store = ActuatorStore(settings.actuator_store)
+    record = store.configure("light.storage")
+    record = record.model_copy(
+        update={
+            "assignment": record.assignment.model_copy(
+                update={
+                    "selected_context_entity_ids": ["binary_sensor.storage_door"],
+                }
+            ),
+            "behavior": record.behavior.model_copy(
+                update={
+                    "mode": BehaviorMode.ACTIVE,
+                    "status": BehaviorStatus.TRAINED,
+                    "activation_ready": True,
+                    "patterns": [
+                        BehaviorPattern(
+                            target_state="on",
+                            minute_of_day=60,
+                            weekday=0,
+                            context_states={"binary_sensor.storage_door": "on"},
+                            trigger_entity_id="binary_sensor.storage_door",
+                            trigger_from_state="off",
+                            trigger_to_state="on",
+                            source="automation",
+                            weight=1.0,
+                            observed_at=now - timedelta(days=days_ago),
+                        )
+                        for days_ago in (3, 2, 1)
+                    ],
+                }
+            ),
+        }
+    )
+    store.upsert(record)
+    reader = FakeBehaviorReader(
+        entities=[
+            HaEntitySummary(entity_id="light.storage", domain="light", state="off"),
+            HaEntitySummary(
+                entity_id="binary_sensor.storage_door",
+                domain="binary_sensor",
+                state="off",
+                last_changed=now - timedelta(minutes=5),
+            ),
+        ],
+        history=[],
+        logbook=[],
+    )
+    engine = BehaviorEngine(ha_reader=reader, store=store, settings=settings)
+
+    engine.handle_state_change(
+        "binary_sensor.storage_door",
+        {"state": "on", "last_changed": now.isoformat()},
+    )
+
+    assert reader.service_calls == [
+        ("light", "turn_on", {"entity_id": "light.storage"})
+    ]
+
+
+def test_state_change_uses_event_cache_without_rest_state_query(
+    tmp_path: Path,
+) -> None:
+    now = datetime.now(timezone.utc).replace(microsecond=0)
+    settings = _settings(tmp_path)
+    store = ActuatorStore(settings.actuator_store)
+    record = store.configure("light.storage")
+    record = record.model_copy(
+        update={
+            "assignment": record.assignment.model_copy(
+                update={
+                    "selected_context_entity_ids": ["binary_sensor.storage_door"],
+                }
+            ),
+            "behavior": record.behavior.model_copy(
+                update={
+                    "mode": BehaviorMode.ACTIVE,
+                    "status": BehaviorStatus.TRAINED,
+                    "activation_ready": True,
+                    "patterns": [
+                        BehaviorPattern(
+                            target_state="on",
+                            minute_of_day=60,
+                            weekday=0,
+                            context_states={"binary_sensor.storage_door": "on"},
+                            trigger_entity_id="binary_sensor.storage_door",
+                            trigger_from_state="off",
+                            trigger_to_state="on",
+                            source="automation",
+                            weight=1.0,
+                            observed_at=now - timedelta(days=days_ago),
+                        )
+                        for days_ago in (3, 2, 1)
+                    ],
+                }
+            ),
+        }
+    )
+    store.upsert(record)
+    reader = FakeBehaviorReader(
+        entities=[],
+        history=[],
+        logbook=[],
+    )
+
+    def fail_read_entities() -> list[HaEntitySummary]:
+        raise AssertionError("Event-Auswertung darf keinen REST-State lesen.")
+
+    reader.read_entities = fail_read_entities  # type: ignore[method-assign]
+    engine = BehaviorEngine(ha_reader=reader, store=store, settings=settings)
+
+    engine.handle_state_change(
+        "binary_sensor.storage_door",
+        {"state": "on", "last_changed": now.isoformat()},
+        current_entities=[
+            HaEntitySummary(entity_id="light.storage", domain="light", state="off"),
+            HaEntitySummary(
+                entity_id="binary_sensor.storage_door",
+                domain="binary_sensor",
+                state="on",
+                last_changed=now,
+            ),
+        ],
+    )
+
+    assert reader.service_calls == [
+        ("light", "turn_on", {"entity_id": "light.storage"})
+    ]

tests/test_dashboard.py

@@ -12,6 +12,8 @@ def test_dashboard_is_served_at_root() -> None:
     assert "So gehst du vor" in response.text
     assert "Gerät zum Lernen auswählen" in response.text
     assert "Entitätsname oder Gerät aus Home Assistant" in response.text
+    assert "Oder aus Liste wählen" in response.text
+    assert "Liste durchsuchen" in response.text
     assert "Wie gewohnt bedienen" in response.text
     assert "Ohne deine spätere Freigabe wird nichts geschaltet" in response.text
     assert "Du wählst keine Sensoren und erstellst keine Regeln" in response.text
@@ -21,6 +23,11 @@ def test_dashboard_is_served_at_root() -> None:
     assert "Pausieren" in response.text
     assert "Davon erkannte HA-Automationen" in response.text
     assert "Aktuelle Situation auswerten" in response.text
+    assert "Kontext selbst festlegen" in response.text
+    assert "Entity-IDs manuell ergänzen" in response.text
+    assert "manual-context-freeform" in response.text
+    assert "Diese Kontext-Auswahl speichern" in response.text
+    assert "manual-context-select" in response.text
     assert "Die Prüfung simuliert keinen Sensorwechsel" in response.text
     assert "Kein frischer passender Sensorwechsel erkannt" in response.text
     assert "Vorhersage jetzt prüfen" not in response.text

tests/test_main.py

@@ -1,4 +1,5 @@
 import asyncio
+from collections.abc import Sequence
 from pathlib import Path
 from unittest.mock import MagicMock, patch
 
@@ -8,6 +9,8 @@ from fastapi.testclient import TestClient
 
 from app.actuators.store import ActuatorStore
 from app.behavior.engine import BehaviorEngine
+from app.ha.models import HaEntitySummary
+from app.ha.reader import HaReader
 from app.main import _ha_event_listener, app as fastapi_app, lifespan
 
 
@@ -41,10 +44,32 @@ class _RecordingBehaviorEngine(BehaviorEngine):
             store=ActuatorStore(tmp_path / "actuators"),
             settings=MagicMock(),
         )
-        self.state_changes: list[tuple[str, dict[str, object] | None]] = []
+        self.state_changes: list[
+            tuple[str, dict[str, object] | None, Sequence[HaEntitySummary] | None]
+        ] = []
 
-    def handle_state_change(self, entity_id: str, new_state: dict[str, object] | None) -> None:
-        self.state_changes.append((entity_id, new_state))
+    def handle_state_change(
+        self,
+        entity_id: str,
+        new_state: dict[str, object] | None,
+        *,
+        current_entities: Sequence[HaEntitySummary] | None = None,
+    ) -> None:
+        self.state_changes.append((entity_id, new_state, current_entities))
+
+
+class _FakeHaReader(HaReader):
+    def __init__(self) -> None:
+        pass
+
+    def read_entities(self) -> list[HaEntitySummary]:
+        return [
+            HaEntitySummary(
+                entity_id="light.test",
+                domain="light",
+                state="off",
+            )
+        ]
 
 
 def test_ha_event_listener_processes_state_change(tmp_path: Path) -> None:
@@ -55,18 +80,22 @@ def test_ha_event_listener_processes_state_change(tmp_path: Path) -> None:
                 '{"type":"auth_ok"}',
                 (
                     '{"type":"event","event":{"event_type":"state_changed",'
-                    '"entity_id":"light.test","new_state":{"state":"on"}}}'
+                    '"data":{"entity_id":"light.test","new_state":{"state":"on"}}}}'
                 ),
                 asyncio.CancelledError(),
             ]
         )
 
-        with patch("websockets.connect", return_value=fake_ws):
+        with patch("websockets.connect", return_value=fake_ws) as connect:
             try:
                 await _ha_event_listener(mock_app, mock_client)
             except asyncio.CancelledError:
                 pass
 
+        connect.assert_called_once_with(
+            "ws://homeassistant:8123/api/websocket",
+            ping_interval=None,
+        )
         assert fake_ws.sent == [
             {"type": "auth", "access_token": "test-token"},
             {"id": 1, "type": "subscribe_events", "event_type": "state_changed"},
@@ -79,12 +108,19 @@ def test_ha_event_listener_processes_state_change(tmp_path: Path) -> None:
     mock_app.state.ws_status = MagicMock()
     mock_engine = _RecordingBehaviorEngine(tmp_path)
     mock_app.state.behavior_engine = mock_engine
+    mock_app.state.ha_reader = _FakeHaReader()
     mock_store = ActuatorStore(tmp_path / "store")
     mock_app.state.actuator_store = mock_store
     mock_client = MagicMock()
 
     anyio.run(run_test)
-    assert mock_engine.state_changes == [("light.test", {"state": "on"})]
+    assert len(mock_engine.state_changes) == 1
+    entity_id, new_state, current_entities = mock_engine.state_changes[0]
+    assert entity_id == "light.test"
+    assert new_state == {"state": "on"}
+    assert current_entities == [
+        HaEntitySummary(entity_id="light.test", domain="light", state="on")
+    ]
     assert mock_app.state.ws_status.status == "connected"
     assert mock_app.state.ws_status.error is None