Enable watchdog and localize dashboard

addon/Dockerfile

@@ -2,7 +2,7 @@ FROM python:3.13-slim
 
 WORKDIR /app
 
-ARG SILLYHOME_FUTURE_REF=v2.0.0-alpha.9
+ARG SILLYHOME_FUTURE_REF=v2.0.0-alpha.10
 RUN python -m pip install --no-cache-dir \
     "http://192.168.6.31:3000/Otto/sillyhome-future/archive/${SILLYHOME_FUTURE_REF}.tar.gz"
 

addon/config.yaml

@@ -1,12 +1,12 @@
 name: SillyHome Future
-version: "2.0.0-alpha.9"
+version: "2.0.0-alpha.10"
 slug: sillyhome_future
 description: Event-first SillyHome v2 test controller
 url: http://192.168.6.31:3000/Otto/sillyhome-future
 arch:
   - amd64
 startup: application
-boot: manual
+boot: auto
 watchdog: http://[HOST]:[PORT:8099]/health
 init: false
 ingress: true

app/main.py

@@ -70,6 +70,22 @@ class ActiveReadiness(BaseModel):
     dry_run_failures: int
 
 
+class FeedbackRequest(BaseModel):
+    kind: str = Field(default="correct", max_length=40)
+    expected_state: str | None = Field(default=None, max_length=100)
+    note: str | None = Field(default=None, max_length=500)
+
+
+class ActuatorSummary(BaseModel):
+    actuator_entity_id: str
+    stage: SafetyStage
+    handoff_mode: HandoffMode
+    active_ready: bool
+    pattern_count: int
+    feedback_positive: int
+    feedback_negative: int
+
+
 @asynccontextmanager
 async def lifespan(app: FastAPI) -> AsyncIterator[None]:
     global ha_client
@@ -90,7 +106,7 @@ async def lifespan(app: FastAPI) -> AsyncIterator[None]:
 app = FastAPI(
     title="SillyHome Future API",
     description="SillyHome v2 event-core side project.",
-    version="2.0.0-alpha.9",
+    version="2.0.0-alpha.10",
     lifespan=lifespan,
 )
 
@@ -149,6 +165,37 @@ def dashboard_data() -> dict[str, object]:
     }
 
 
+@app.get("/v2/feature-parity")
+def feature_parity() -> dict[str, object]:
+    return {
+        "baseline": "sillyhome-next",
+        "policy": "Future implementiert eigene v2-Funktionen, kein next-Code.",
+        "implemented": [
+            "HA REST/WebSocket",
+            "Service-Ausfuehrung",
+            "Dashboard",
+            "Aktor-Control",
+            "Lernmuster",
+            "Dry-run",
+            "Safety-Gates",
+            "Feedback",
+            "Backup/Restore",
+            "Raeume/Szenen",
+            "Not-Aus",
+            "Simulation",
+            "Audit",
+            "Health",
+        ],
+        "next_to_expand": [
+            "automations-proposals",
+            "history-analysis",
+            "model-training",
+            "weight-overrides",
+            "job-queue",
+        ],
+    }
+
+
 @app.post("/v2/events/state", response_model=list[AuditEvent])
 def ingest_state_event(event: StateEvent) -> list[AuditEvent]:
     return event_core.process_state_event(event, execute=_execute_ha_decision)
@@ -203,6 +250,45 @@ def get_control() -> ControlState:
     return stores.control()
 
 
+@app.get("/v2/actuators/summary", response_model=list[ActuatorSummary])
+def actuator_summary() -> list[ActuatorSummary]:
+    learning = stores.learning()
+    control = stores.control()
+    ids = sorted(set(learning.profiles) | set(control.profiles))
+    return [
+        ActuatorSummary(
+            actuator_entity_id=actuator_id,
+            stage=control.profiles.get(
+                actuator_id,
+                ControlProfile(actuator_entity_id=actuator_id),
+            ).stage,
+            handoff_mode=control.profiles.get(
+                actuator_id,
+                ControlProfile(actuator_entity_id=actuator_id),
+            ).handoff_mode,
+            active_ready=control.profiles.get(
+                actuator_id,
+                ControlProfile(actuator_entity_id=actuator_id),
+            ).active_ready,
+            pattern_count=len(
+                learning.profiles.get(
+                    actuator_id,
+                    LearningProfile(actuator_entity_id=actuator_id),
+                ).patterns
+            ),
+            feedback_positive=learning.profiles.get(
+                actuator_id,
+                LearningProfile(actuator_entity_id=actuator_id),
+            ).feedback_positive,
+            feedback_negative=learning.profiles.get(
+                actuator_id,
+                LearningProfile(actuator_entity_id=actuator_id),
+            ).feedback_negative,
+        )
+        for actuator_id in ids
+    ]
+
+
 @app.post("/v2/control/global", response_model=ControlState)
 def set_global_control(update: GlobalControlUpdate) -> ControlState:
     state = stores.control().model_copy(update={"global_enabled": update.enabled})
@@ -305,6 +391,93 @@ def create_learning_pattern(
     return updated
 
 
+@app.post("/v2/control/{actuator_entity_id}/feedback", response_model=LearningProfile)
+def record_feedback(actuator_entity_id: str, feedback: FeedbackRequest) -> LearningProfile:
+    state = stores.learning()
+    profile = state.profiles.get(
+        actuator_entity_id,
+        LearningProfile(actuator_entity_id=actuator_entity_id),
+    )
+    positive_kinds = {"correct", "too_late_fixed", "too_early_fixed"}
+    negative_kinds = {"wrong", "too_early", "too_late", "never_automate"}
+    updated = profile.model_copy(
+        update={
+            "feedback_positive": profile.feedback_positive
+            + int(feedback.kind in positive_kinds),
+            "feedback_negative": profile.feedback_negative
+            + int(feedback.kind in negative_kinds),
+        }
+    )
+    state.profiles[actuator_entity_id] = updated
+    stores.save_learning(state)
+    if feedback.kind == "never_automate":
+        control = stores.control()
+        control.profiles[actuator_entity_id] = control.profiles.get(
+            actuator_entity_id,
+            ControlProfile(actuator_entity_id=actuator_entity_id),
+        ).model_copy(update={"manual_block": True, "stage": SafetyStage.BLOCKED})
+        stores.save_control(control)
+    _append_audit("feedback", actuator_entity_id, f"Feedback: {feedback.kind}")
+    return updated
+
+
+@app.post("/v2/planning/refresh", response_model=LearningState)
+def refresh_planning() -> LearningState:
+    state = stores.learning()
+    runtime = stores.runtime()
+    rooms = dict(state.rooms)
+    scenes = dict(state.scenes)
+    for entity in runtime.entities.values():
+        room_name = entity.area_name
+        if not room_name:
+            continue
+        room_id = room_name.lower().replace(" ", "_")
+        room = rooms.get(room_id)
+        actuator_ids = []
+        context_ids = []
+        if entity.domain in {"light", "switch", "fan", "cover", "humidifier"}:
+            actuator_ids.append(entity.entity_id)
+        else:
+            context_ids.append(entity.entity_id)
+        if room is None:
+            from app.core.models import RoomProfile
+
+            room = RoomProfile(room_id=room_id, name=room_name)
+        rooms[room_id] = room.model_copy(
+            update={
+                "actuator_entity_ids": sorted(
+                    set(room.actuator_entity_ids) | set(actuator_ids)
+                ),
+                "context_entity_ids": sorted(set(room.context_entity_ids) | set(context_ids)),
+            }
+        )
+    state = state.model_copy(update={"rooms": rooms, "scenes": scenes})
+    stores.save_learning(state)
+    _append_audit("planning", None, "Planung aktualisiert.")
+    return state
+
+
+@app.get("/v2/anomalies")
+def anomalies() -> list[dict[str, object]]:
+    runtime = stores.runtime()
+    result: list[dict[str, object]] = []
+    unavailable = [
+        entity.entity_id
+        for entity in runtime.entities.values()
+        if entity.state in {"unavailable", "unknown"}
+    ][:100]
+    if unavailable:
+        result.append(
+            {
+                "kind": "unavailable_entities",
+                "severity": "warning",
+                "count": len(unavailable),
+                "entities": unavailable,
+            }
+        )
+    return result
+
+
 @app.post("/v2/simulate")
 def simulate_decision(request: SimulationRequest) -> dict[str, object]:
     runtime = stores.runtime()
@@ -554,37 +727,37 @@ def _dashboard_html() -> str:
     <section class="grid" id="metrics"></section>
     <section class="split">
       <div class="card">
-        <h2>Control</h2>
+        <h2>Steuerung</h2>
         <label for="entitySearch">Suche</label>
         <input id="entitySearch" placeholder="light., switch., sensor..." autocomplete="off">
         <label for="actuator">Aktor</label>
         <select id="actuator"></select>
         <div class="row">
           <div>
-            <label for="minConfidence">Min. Confidence</label>
+            <label for="minConfidence">Mindest-Sicherheit</label>
             <input id="minConfidence" type="number" min="0" max="1" step="0.01" value="0.82">
           </div>
           <div>
-            <label for="cooldown">Cooldown Sekunden</label>
+            <label for="cooldown">Sperrzeit in Sekunden</label>
             <input id="cooldown" type="number" min="0" step="30" value="900">
           </div>
         </div>
         <label><input id="manualBlock" type="checkbox" style="width:auto;margin-right:6px"> Manuell blockieren</label>
         <div class="stages" id="stages"></div>
-        <button class="primary" id="saveControl">Control speichern</button>
+        <button class="primary" id="saveControl">Steuerung speichern</button>
         <button id="globalToggle">Globaler Not-Aus</button>
         <div class="status" id="readiness">Ready-Status wird geladen...</div>
         <div class="status" id="controlStatus"></div>
       </div>
       <div class="card">
-        <h2>Learning Pattern</h2>
+        <h2>Lernmuster</h2>
         <div class="row">
           <div>
             <label for="trigger">Trigger</label>
             <select id="trigger"></select>
           </div>
           <div>
-            <label for="triggerState">Trigger State</label>
+            <label for="triggerState">Trigger-Zustand</label>
             <input id="triggerState" placeholder="on, off, open...">
           </div>
         </div>
@@ -594,22 +767,28 @@ def _dashboard_html() -> str:
             <input id="targetState" value="on">
           </div>
           <div>
-            <label for="patternConfidence">Confidence</label>
+            <label for="patternConfidence">Sicherheit</label>
             <input id="patternConfidence" type="number" min="0" max="1" step="0.01" value="0.9">
           </div>
         </div>
-        <button class="primary" id="addPattern">Pattern anlegen</button>
+        <button class="primary" id="addPattern">Lernmuster anlegen</button>
-        <button id="simulatePattern">Pattern simulieren</button>
+        <button id="simulatePattern">Lernmuster simulieren</button>
         <div class="status" id="patternStatus"></div>
         <h2>Aktuelles Profil</h2>
         <pre id="profile">Lade...</pre>
       </div>
     </section>
-    <h2>Audit</h2>
+    <h2>Prüfprotokoll</h2>
     <pre id="audit">Lade...</pre>
   </main>
   <script>
     const stages = ['observe', 'dry_run', 'active', 'blocked'];
+    const stageLabels = {
+      observe: 'Beobachten',
+      dry_run: 'Testlauf',
+      active: 'Aktiv',
+      blocked: 'Gesperrt',
+    };
     const state = { entities: [], control: {}, learning: {}, selectedStage: 'observe' };
 
     function optionText(entity) {
@@ -625,7 +804,7 @@ def _dashboard_html() -> str:
 
     function renderStages() {
       document.getElementById('stages').innerHTML = stages.map(stage =>
-        `<button type="button" data-stage="${stage}" class="${stage === state.selectedStage ? 'active' : ''}">${stage}</button>`
+        `<button type="button" data-stage="${stage}" class="${stage === state.selectedStage ? 'active' : ''}">${stageLabels[stage]}</button>`
       ).join('');
       document.querySelectorAll('[data-stage]').forEach(button => {
         button.onclick = () => { state.selectedStage = button.dataset.stage; renderStages(); };
@@ -674,13 +853,13 @@ def _dashboard_html() -> str:
       state.learning = await learningResponse.json();
       const metrics = [
         ['WebSocket', data.websocket_status],
-        ['Entities', data.entity_count],
+        ['Entitäten', data.entity_count],
-        ['Actuators', data.actuator_count],
+        ['Aktoren', data.actuator_count],
-        ['Global', data.global_enabled ? 'on' : 'off'],
+        ['Not-Aus', data.global_enabled ? 'frei' : 'aktiv'],
-        ['Learning', data.learning_profiles],
+        ['Lernen', data.learning_profiles],
-        ['Control', data.control_profiles],
+        ['Steuerung', data.control_profiles],
-        ['Rooms', data.rooms.length],
+        ['Räume', data.rooms.length],
-        ['Scenes', data.scenes.length],
+        ['Szenen', data.scenes.length],
       ];
       document.getElementById('metrics').innerHTML = metrics.map(([label, value]) =>
         `<div class="card"><div class="label">${label}</div><div class="value">${value}</div></div>`
@@ -696,7 +875,7 @@ def _dashboard_html() -> str:
       const response = await fetch(`/v2/control/${encodeURIComponent(id)}/readiness`);
       const data = await response.json();
       document.getElementById('readiness').textContent =
-        `${data.ready ? 'ready for active' : 'nicht active-ready'} - ${data.reason}`;
+        `${data.ready ? 'bereit fuer Aktiv' : 'nicht bereit fuer Aktiv'} - ${data.reason}`;
     }
 
     document.getElementById('entitySearch').oninput = renderEntities;

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sillyhome-future"
-version = "2.0.0-alpha.9"
+version = "2.0.0-alpha.10"
 description = "SillyHome v2 event-core prototype"
 requires-python = ">=3.11"
 dependencies = [

tests/test_addon_config.py

@@ -9,10 +9,12 @@ def test_addon_config_declares_future_addon() -> None:
     config = yaml.safe_load(Path("addon/config.yaml").read_text(encoding="utf-8"))
 
     assert config["slug"] == "sillyhome_future"
-    assert config["version"] == "2.0.0-alpha.9"
+    assert config["version"] == "2.0.0-alpha.10"
     assert config["ingress"] is True
     assert config["ingress_port"] == 8099
     assert config["homeassistant_api"] is True
+    assert config["boot"] == "auto"
+    assert config["watchdog"] == "http://[HOST]:[PORT:8099]/health"
 
 
 def test_repository_points_to_gitea_repo() -> None:

tests/test_future_api.py

@@ -19,7 +19,7 @@ def test_health_and_backup_roundtrip(tmp_path, monkeypatch) -> None:  # type: ig
     restore = client.post("/v2/backup/restore", json=backup.json())
 
     assert health.status_code == 200
-    assert health.json()["version"] == "2.0.0-alpha.9"
+    assert health.json()["version"] == "2.0.0-alpha.10"
     assert backup.status_code == 200
     assert restore.status_code == 200
     assert restore.json() == {"status": "restored"}
@@ -77,6 +77,10 @@ def test_dashboard_control_and_learning_endpoints(tmp_path, monkeypatch) -> None
     readiness = client.get("/v2/control/light.storage/readiness")
     global_control = client.post("/v2/control/global", json={"enabled": False})
     detailed_health = client.get("/v2/health")
+    feedback = client.post("/v2/control/light.storage/feedback", json={"kind": "wrong"})
+    summary = client.get("/v2/actuators/summary")
+    parity = client.get("/v2/feature-parity")
+    anomalies = client.get("/v2/anomalies")
     dashboard = client.get("/v2/dashboard")
 
     assert entities.status_code == 200
@@ -96,5 +100,12 @@ def test_dashboard_control_and_learning_endpoints(tmp_path, monkeypatch) -> None
     assert global_control.json()["global_enabled"] is False
     assert detailed_health.status_code == 200
     assert detailed_health.json()["global_enabled"] is False
+    assert feedback.status_code == 200
+    assert feedback.json()["feedback_negative"] == 1
+    assert summary.status_code == 200
+    assert summary.json()[0]["actuator_entity_id"] == "light.storage"
+    assert parity.status_code == 200
+    assert "Feedback" in parity.json()["implemented"]
+    assert anomalies.status_code == 200
     assert dashboard.status_code == 200
     assert dashboard.json()["actuator_count"] == 1