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Author SHA1 Message Date
4db4276b95 Rework dashboard loading and cache entity metadata
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2026-06-17 00:41:50 +02:00
98a2b2cc38 Fix dashboard summary status rendering
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2026-06-17 00:21:14 +02:00
387e027fe2 Use lightweight actuator dashboard summaries
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2026-06-17 00:09:35 +02:00
f8bee92e64 Optimize dashboard categories and context loading
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2026-06-17 00:02:19 +02:00
9ddb065f62 Speed up HA event processing
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2026-06-16 13:58:58 +02:00
8222f24ebe Group configured actuator overview
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2026-06-16 13:51:02 +02:00
a7a2f8c78a Make SillyHome startup resilient
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2026-06-16 13:43:41 +02:00
faf4099756 Load actuator suggestions asynchronously
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2026-06-16 12:14:51 +02:00
1b2b76455a Tighten context onboarding and actuator suggestions
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2026-06-16 12:06:03 +02:00
15 changed files with 908 additions and 92 deletions

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@@ -1,5 +1,70 @@
# Changelog
## 0.7.21 - 2026-06-17
- Dashboard-Ladepfad getrennt: beobachtete Geräte laden sofort über
`/v1/actuators/summary`; Status, Discovery und Vorschläge laufen unabhängig
nachgelagert und blockieren die Übersicht nicht mehr.
- Systemstatus nutzt Timeouts und bleibt auch bei langsamem ML-/HA-Status
bedienbar.
- HA-Entity-Metadaten werden als JSON-Cache gespeichert und für Friendly Name,
Raum und Gerät in schlanken Summaries wiederverwendet.
- Anleitung, Gerätegruppen und manuelle Kontextauswahl sind aufklappbar und
kompakter für Smartphone- und Desktopansichten.
## 0.7.20 - 2026-06-17
- Dashboard-Übersicht ist kompatibel mit dem leichten Summary-Format und greift
nicht mehr auf `record.behavior.status` aus dem Vollformat zu.
## 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.
## 0.7.15 - 2026-06-16
- Add-on-Start ist robust gegen Home-Assistant-Core-502 beim Systemboot:
API und WebSocket-Listener starten trotzdem, Reconciliation/Training werden
im Hintergrund mit Retry nachgeholt.
- Periodische Reconciliation und Fallback-Auswertung beenden den Dienst nicht
mehr bei temporären HA-Fehlern.
- Add-on-Watchdog prüft `/health`, damit Supervisor den Dienst nach Absturz
wieder starten kann.
## 0.7.14 - 2026-06-16
- Onboarding-Vorschläge laden im Dashboard nachgelagert, damit Status,
Aktor-Auswahl und bestehende Geräte nicht auf Automation-Discovery warten.
## 0.7.13 - 2026-06-16
- Diagnose-/Schutzsensoren wie Überhitzung und Überlast werden nicht mehr nur
wegen gleicher Strom-/Monitoring-Bereiche automatisch als Lichtkontext
übernommen.
- Verwendete Kontext-Entities können pro Aktor direkt entfernt und damit als
manuelle Zuordnung überschrieben werden.
- Onboarding-Vorschläge zeigen passende, noch nicht eingerichtete Aktoren aus
bestehenden Automationen und naheliegenden Kontexten.
- TV-/Medien-Aktoren über `media_player` und Fernbedienungen über `remote`
werden in Discovery und Auswahl berücksichtigt.
## 0.7.12 - 2026-06-16
- Aktor-Auswahlliste zeigt maximal 50 Treffer gleichzeitig und fordert bei
größeren Mengen zum Eingrenzen per Suche oder Typfilter auf.

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@@ -1,5 +1,5 @@
name: SillyHome Next
version: "0.7.12"
version: "0.7.21"
slug: sillyhome_next
description: Lernt automatisch aus deinem Verhalten und steuert freigegebene Aktoren
url: http://192.168.6.31:3000/pino/sillyhome-next
@@ -7,6 +7,7 @@ arch:
- amd64
startup: application
boot: auto
watchdog: http://[HOST]:[PORT:8000]/health
init: false
ingress: true
ingress_port: 8000

View File

@@ -57,7 +57,7 @@ _STOPWORDS = frozenset(
"value",
}
)
_GENERIC_AREA_NAMES = frozenset({"monitoring", "system", "technik"})
_GENERIC_AREA_NAMES = frozenset({"energie", "monitoring", "power", "strom", "system", "technik"})
_NUMERIC_AUTO_ACCEPT_SCORE = 0.82
_NUMERIC_AUTO_ACCEPT_MIN_SCORE = 0.5
_NUMERIC_MIN_MARGIN = 0.18
@@ -72,38 +72,71 @@ _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",
"signal",
"ssid",
"status",
"overheat",
"overheating",
"overload",
"uptime",
"vpn",
"uberhitzung",
"ueberhitzung",
"ueberlast",
"überhitzung",
"überlast",
"wifi",
"zuletzt",
})
_AUTO_CONTEXT_CLASSES = frozenset({
"door",
"garage_door",
"illuminance",
"motion",
"occupancy",
"opening",
"presence",
"window",
})
class ActuatorReconciliationService:
@@ -156,13 +189,10 @@ class ActuatorReconciliationService:
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:
if not selected and _is_diagnostic_context(entity):
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: (
@@ -628,8 +658,12 @@ class ActuatorReconciliationService:
if context
else _NUMERIC_AUTO_ACCEPT_MIN_SCORE
)
can_auto_accept_context = (
not context or _eligible_for_auto_context(actuator, candidate)
)
auto_accepted = (
candidate.score >= minimum_score
can_auto_accept_context
and candidate.score >= minimum_score
and confidence >= auto_score
and (context or margin >= _NUMERIC_MIN_MARGIN)
)
@@ -743,6 +777,23 @@ def _has_context_relationship(actuator: HaEntitySummary, entity: HaEntitySummary
)
def _eligible_for_auto_context(
actuator: HaEntitySummary,
candidate: AssignmentCandidate,
) -> bool:
device_class = candidate.device_class or ""
if device_class in _AUTO_CONTEXT_CLASSES:
return True
if (
actuator.device_name
and candidate.device_name
and actuator.device_name == candidate.device_name
and candidate.domain in {"light", "switch"}
):
return True
return False
def _score_candidate(
actuator: HaEntitySummary,
entity: HaEntitySummary,
@@ -809,12 +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.",
],
}
@@ -843,13 +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"},
"humidifier": {"humidity", "temperature", "power"},
"light": {"illuminance", "power", "energy"},
"fan": {"temperature", "humidity", "moisture"},
"humidifier": {"humidity", "moisture", "temperature"},
"light": {"illuminance"},
"media_player": {"power", "energy"},
"remote": {"battery"},
"switch": {"power", "energy", "current"},
"valve": {"temperature", "pressure", "humidity"},
}

View File

@@ -1,5 +1,10 @@
from __future__ import annotations
import json
import os
from datetime import datetime, timezone
from pathlib import Path
from fastapi import APIRouter, Depends, HTTPException, Query, Request, status
from pydantic import BaseModel, Field
@@ -7,8 +12,9 @@ from app.actuators.lifecycle import ActuatorReconciliationService
from app.actuators.models import ActuatorRecord, ReconciliationState
from app.actuators.store import ActuatorStore
from app.behavior.engine import BehaviorEngine
from app.config import Settings
from app.dependencies import get_ha_reader
from app.ha.discovery import EntityRole
from app.ha.discovery import DiscoveredEntity, EntityRole
from app.ha.exceptions import HaClientError
from app.ha.models import HaEntitySummary
from app.ha.reader import HaReader
@@ -43,9 +49,49 @@ class FeedbackRequest(BaseModel):
expected_state: str | None = Field(default=None, max_length=100)
class ActuatorSuggestion(BaseModel):
entity_id: str
domain: str
friendly_name: str | None = None
area_name: str | None = None
device_name: str | None = None
confidence: float
reason: str
related_automation_count: int = 0
likely_context_count: int = 0
class ActuatorSummary(BaseModel):
actuator_entity_id: str
domain: str
friendly_name: str | None = None
area_name: str | None = None
device_name: str | None = None
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()}
def discover_actuators(
request: Request,
refresh: bool = Query(default=False),
ha_reader: HaReader = Depends(get_ha_reader),
) -> list[HaEntitySummary]:
cached_entities = [] if refresh else _load_cached_entities(request)
if cached_entities:
entities = {entity.entity_id: entity for entity in cached_entities}
else:
fresh_entities = list(ha_reader.read_entities())
_save_cached_entities(request, fresh_entities)
entities = {entity.entity_id: entity for entity in fresh_entities}
discovered = ha_reader.discover()
actuator_ids = _deduplicate_actuator_ids(
[
@@ -58,6 +104,66 @@ 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("/suggestions", response_model=list[ActuatorSuggestion])
def suggest_actuators(
request: Request,
ha_reader: HaReader = Depends(get_ha_reader),
) -> list[ActuatorSuggestion]:
entities = {entity.entity_id: entity for entity in ha_reader.read_entities()}
discovered = {entity.entity_id: entity for entity in ha_reader.discover()}
configured_ids = {record.actuator_entity_id for record in _service(request).list_configured()}
actuator_ids = _deduplicate_actuator_ids(
[
(entity.entity_id, entity.category)
for entity in discovered.values()
if entity.role is EntityRole.ACTUATOR
],
entities,
)
suggestions: list[ActuatorSuggestion] = []
for entity_id in actuator_ids:
if entity_id in configured_ids:
continue
entity = entities.get(entity_id)
if entity is None:
continue
try:
automations = ha_reader.find_automations_for_entity(entity_id)
except Exception:
automations = []
context_count = _likely_context_count(entity, entities, discovered)
if not automations and context_count == 0:
continue
confidence = 1.0 if automations else min(0.85, 0.35 + context_count * 0.1)
reason_parts = []
if automations:
reason_parts.append(f"{len(automations)} passende HA-Automation(en)")
if context_count:
reason_parts.append(f"{context_count} naheliegende Kontext-Entity(s)")
suggestions.append(
ActuatorSuggestion(
entity_id=entity.entity_id,
domain=entity.domain,
friendly_name=entity.friendly_name,
area_name=entity.area_name,
device_name=entity.device_name,
confidence=round(confidence, 4),
reason=", ".join(reason_parts),
related_automation_count=len(automations),
likely_context_count=context_count,
)
)
return sorted(
suggestions,
key=lambda item: (
-item.related_automation_count,
-item.confidence,
item.area_name or "",
item.friendly_name or item.entity_id,
),
)[:30]
@router.get("/context-options", response_model=list[HaEntitySummary])
def context_options(
request: Request,
@@ -71,6 +177,51 @@ 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]:
entity_map = {entity.entity_id: entity for entity in _load_cached_entities(request)}
return [
ActuatorSummary(
actuator_entity_id=record.actuator_entity_id,
domain=record.actuator_entity_id.split(".", 1)[0],
friendly_name=(
entity_map[record.actuator_entity_id].friendly_name
if record.actuator_entity_id in entity_map
else None
),
area_name=(
entity_map[record.actuator_entity_id].area_name
if record.actuator_entity_id in entity_map
else None
),
device_name=(
entity_map[record.actuator_entity_id].device_name
if record.actuator_entity_id in entity_map
else None
),
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()
@@ -261,6 +412,45 @@ def _behavior(request: Request) -> BehaviorEngine:
return engine
def _entity_cache_path(request: Request) -> Path:
store = getattr(request.app.state, "actuator_store", None)
settings = getattr(request.app.state, "settings", None)
if isinstance(store, ActuatorStore):
base_dir = store._root
elif isinstance(settings, Settings):
base_dir = Path(settings.actuator_store).resolve().parent
else:
base_dir = Path(".").resolve()
return Path(os.getenv("SILLYHOME_ENTITY_CACHE", base_dir / "ha_entity_cache.json"))
def _load_cached_entities(request: Request) -> list[HaEntitySummary]:
path = _entity_cache_path(request)
if not path.exists():
return []
try:
payload = json.loads(path.read_text(encoding="utf-8"))
raw_entities = payload.get("entities", [])
return [HaEntitySummary.model_validate(entity) for entity in raw_entities]
except (OSError, TypeError, ValueError):
return []
def _save_cached_entities(request: Request, entities: list[HaEntitySummary]) -> None:
path = _entity_cache_path(request)
path.parent.mkdir(parents=True, exist_ok=True)
payload = {
"updated_at": datetime.now(timezone.utc).isoformat(),
"entities": [entity.model_dump(mode="json") for entity in entities],
}
temporary = path.with_suffix(".json.tmp")
temporary.write_text(
json.dumps(payload, ensure_ascii=True, sort_keys=True) + "\n",
encoding="utf-8",
)
os.replace(temporary, path)
def _deduplicate_actuator_ids(
discovered: list[tuple[str, str]],
entities: dict[str, HaEntitySummary],
@@ -294,3 +484,67 @@ def _actuator_duplicate_key(entity: HaEntitySummary, category: str) -> str:
if entity.device_name and category in {"light", "switch_socket", "button"}:
return f"device-name:{entity.device_name.lower()}:control"
return f"entity:{entity.entity_id}"
def _likely_context_count(
actuator: HaEntitySummary,
entities: dict[str, HaEntitySummary],
discovered: dict[str, DiscoveredEntity],
) -> int:
actuator_tokens = _tokens(actuator)
count = 0
for entity in entities.values():
if entity.entity_id == actuator.entity_id:
continue
descriptor = discovered.get(entity.entity_id)
role = descriptor.role if descriptor is not None else None
if role not in {
EntityRole.MEASUREMENT,
EntityRole.BINARY_CONTEXT,
EntityRole.CONTEXT,
}:
continue
if entity.device_class not in {
"door",
"energy",
"garage_door",
"humidity",
"illuminance",
"motion",
"occupancy",
"opening",
"power",
"presence",
"temperature",
"window",
}:
continue
same_area = bool(
actuator.area_name
and entity.area_name
and actuator.area_name == entity.area_name
)
same_device = bool(
actuator.device_id
and entity.device_id
and actuator.device_id == entity.device_id
)
token_match = bool(actuator_tokens.intersection(_tokens(entity)))
if same_area or same_device or token_match:
count += 1
return count
def _tokens(entity: HaEntitySummary) -> set[str]:
values = [
entity.entity_id,
entity.friendly_name,
entity.area_name,
entity.device_name,
]
tokens: set[str] = set()
for value in values:
if not value:
continue
tokens.update(token for token in value.lower().replace("_", " ").split() if len(token) > 2)
return tokens

View File

@@ -898,8 +898,10 @@ def predict_behavior(
def service_for_state(domain: str, target_state: str) -> str | None:
if domain in {"fan", "humidifier", "light", "switch"}:
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

View File

@@ -92,7 +92,10 @@ _ACTUATOR_DOMAINS = frozenset({
"input_button",
"lock",
"light",
"media_player",
"number",
"remote",
"scene",
"siren",
"switch",
"valve",
@@ -225,6 +228,10 @@ def _actuator_category(entity: HaEntitySummary) -> str:
return "lock"
if entity.domain == "fan":
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

View File

@@ -43,6 +43,7 @@ class _WsStatus:
async def lifespan(app: FastAPI) -> AsyncIterator[None]:
settings = app.state.settings
client: HaClient | None = None
startup_task: asyncio.Task[None] | None = None
reconcile_task: asyncio.Task[None] | None = None
event_listener_task: asyncio.Task[None] | None = None
fallback_task: asyncio.Task[None] | None = None
@@ -74,15 +75,17 @@ async def lifespan(app: FastAPI) -> AsyncIterator[None]:
settings=settings,
)
app.state.ws_status = _WsStatus()
await asyncio.to_thread(app.state.actuator_service.reconcile_all, "startup")
await asyncio.to_thread(app.state.behavior_engine.train_all)
await asyncio.to_thread(app.state.behavior_engine.evaluate_all)
startup_task = asyncio.create_task(_startup_reconciliation(app))
reconcile_task = asyncio.create_task(_periodic_reconciliation(app))
event_listener_task = asyncio.create_task(_ha_event_listener(app, client))
fallback_task = asyncio.create_task(_fallback_prediction(app))
try:
yield
finally:
if startup_task is not None:
startup_task.cancel()
with suppress(asyncio.CancelledError):
await startup_task
if reconcile_task is not None:
reconcile_task.cancel()
with suppress(asyncio.CancelledError):
@@ -102,7 +105,7 @@ async def lifespan(app: FastAPI) -> AsyncIterator[None]:
app = FastAPI(
title="SillyHome Next API",
description="Lokales Smart-Home-Intelligenzsystem für Home Assistant.",
version="0.7.12",
version="0.7.21",
lifespan=lifespan,
)
app.state.settings = load_settings()
@@ -147,10 +150,39 @@ async def _periodic_reconciliation(app: FastAPI) -> None:
service = getattr(app.state, "actuator_service", None)
if not isinstance(service, ActuatorReconciliationService):
continue
await asyncio.to_thread(service.reconcile_all, "scheduled")
try:
await asyncio.to_thread(service.reconcile_all, "scheduled")
engine = getattr(app.state, "behavior_engine", None)
if isinstance(engine, BehaviorEngine):
await asyncio.to_thread(engine.train_all)
except Exception:
logger.exception("Geplante Reconciliation fehlgeschlagen; nächster Lauf versucht es erneut.")
async def _startup_reconciliation(app: FastAPI) -> None:
delay_seconds = 5
while True:
service = getattr(app.state, "actuator_service", None)
engine = getattr(app.state, "behavior_engine", None)
if isinstance(engine, BehaviorEngine):
if not isinstance(service, ActuatorReconciliationService) or not isinstance(
engine,
BehaviorEngine,
):
return
try:
await asyncio.to_thread(service.reconcile_all, "startup")
await asyncio.to_thread(engine.train_all)
await asyncio.to_thread(engine.evaluate_all)
logger.info("Startup-Reconciliation erfolgreich abgeschlossen.")
return
except Exception as exc:
logger.warning(
"Startup-Reconciliation verschoben: %s. Neuer Versuch in %ss.",
exc,
delay_seconds,
)
await asyncio.sleep(delay_seconds)
delay_seconds = min(delay_seconds * 2, 60)
async def _ha_event_listener(app: FastAPI, client: HaClient) -> None:
@@ -179,7 +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":
@@ -231,6 +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(
@@ -243,18 +281,22 @@ async def _ha_event_listener(app: FastAPI, client: HaClient) -> None:
logger.warning("Ungültige JSON-Nachricht von HA-WebSocket")
except Exception as exc:
logger.exception("Fehler bei Event-Verarbeitung: %s", exc)
except (websockets.exceptions.ConnectionClosed, OSError) as exc:
logger.warning("WebSocket-Verbindung unterbrochen: %s. Wiederholung in 5s...", exc)
except (
websockets.exceptions.ConnectionClosed,
websockets.exceptions.InvalidStatus,
OSError,
) as 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
@@ -280,7 +322,10 @@ async def _fallback_prediction(app: FastAPI) -> None:
"Fallback-Vorhersage aktiv (WebSocket-Status: %s)",
ws_status.status if ws_status else "unavailable",
)
await asyncio.to_thread(engine.evaluate_all)
try:
await asyncio.to_thread(engine.evaluate_all)
except Exception:
logger.exception("Fallback-Vorhersage fehlgeschlagen.")
def _load_ha_state_cache(reader: HaReader) -> dict[str, HaEntitySummary]:
@@ -302,6 +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],

View File

@@ -6,27 +6,40 @@
<title>SillyHome Next</title>
<style>
:root { color-scheme: dark; font-family: system-ui, sans-serif; background: #10151c; color: #eaf1f8; scroll-behavior:smooth; }
body { margin: 0; font-size:16px; }
header { padding: 22px; background: linear-gradient(135deg,#142b3a,#193f36); }
body { margin: 0; font-size:15px; }
header { padding: 18px 20px; background: linear-gradient(135deg,#142b3a,#193f36); }
h1,h2,h3 { margin: 0 0 12px; }
header p { margin: 5px 0; color: #c3d1dc; }
main { display: grid; grid-template-columns: repeat(auto-fit,minmax(320px,1fr)); gap: 14px; padding: 14px; }
section { background: #18212b; border: 1px solid #2d3a47; border-radius: 12px; padding: 16px; }
main { display: grid; grid-template-columns: minmax(280px,.85fr) minmax(0,1.35fr); gap: 12px; padding: 12px; max-width:1380px; margin:0 auto; }
section { background: #18212b; border: 1px solid #2d3a47; border-radius: 8px; padding: 12px; min-width:0; }
section:target { outline:2px solid #66dfa9; outline-offset:2px; }
.wide { grid-column: 1 / -1; }
.quick-nav { position:sticky; top:0; z-index:10; display:flex; gap:8px; overflow-x:auto; padding:10px 14px; background:rgba(16,21,28,.94); border-bottom:1px solid #2d3a47; backdrop-filter:blur(8px); }
.quick-nav a { flex:0 0 auto; padding:10px 12px; border-radius:999px; background:#22303c; border:1px solid #31404d; color:#eaf1f8; text-decoration:none; font-weight:700; font-size:.92rem; }
.quick-nav a.primary { background:#23715b; }
.steps { display:grid; grid-template-columns:repeat(auto-fit,minmax(220px,1fr)); gap:12px; }
.step { background:#111a23; border:1px solid #31404d; border-radius:10px; padding:14px; }
details.collapsible > summary,
.manual-context > summary,
.group-panel > summary { cursor:pointer; font-weight:800; color:#eaf1f8; }
details.collapsible > summary { list-style:none; display:flex; justify-content:space-between; gap:10px; }
details.collapsible > summary::-webkit-details-marker,
.manual-context > summary::-webkit-details-marker,
.group-panel > summary::-webkit-details-marker { display:none; }
details.collapsible > summary::after,
.manual-context > summary::after,
.group-panel > summary::after { content:"aufklappen"; color:#9fb0be; font-weight:600; font-size:.86rem; }
details[open].collapsible > summary::after,
.manual-context[open] > summary::after,
.group-panel[open] > summary::after { content:"zuklappen"; }
.steps { display:grid; grid-template-columns:repeat(auto-fit,minmax(190px,1fr)); gap:10px; margin-top:12px; }
.step { background:#111a23; border:1px solid #31404d; border-radius:8px; padding:10px; }
.step-number { display:inline-grid; place-items:center; width:28px; height:28px; border-radius:50%; background:#23715b; font-weight:700; margin-bottom:8px; }
.step p { margin:5px 0; }
.ok { color: #66dfa9; }
.warn { color: #f3c969; }
.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; }
select,input,button { box-sizing: border-box; width: 100%; border-radius: 8px; border: 1px solid #3b4b5b; padding: 10px; background: #101820; color: #fff; font:inherit; min-width:0; }
select[multiple] { min-height:150px; }
button { min-height:44px; margin-top: 10px; background: #23715b; border: 0; font-weight: 700; cursor: pointer; }
button.secondary { background: #37495c; }
button.danger { background: #7b3434; }
@@ -39,18 +52,18 @@
.chips { display:flex; flex-wrap:wrap; gap:6px; margin-top:8px; }
.chip { padding:4px 8px; border-radius:999px; background:#22303c; border:1px solid #31404d; font-size:.85rem; }
.muted { color:#9fb0be; }
.card-list { display:grid; gap:12px; }
.actuator-card { background:#111a23; border:1px solid #31404d; border-radius:14px; padding:14px; }
.card-list { display:grid; grid-template-columns:repeat(auto-fit,minmax(260px,1fr)); gap:10px; }
.actuator-card { background:#111a23; border:1px solid #31404d; border-radius:8px; padding:10px; min-width:0; }
.actuator-card.selected { border-color:#66dfa9; box-shadow:0 0 0 1px rgba(102,223,169,.3); }
.card-title { display:flex; justify-content:space-between; gap:10px; align-items:flex-start; margin-bottom:8px; }
.entity-id { overflow-wrap:anywhere; font-weight:800; }
.metric-grid { display:grid; grid-template-columns:repeat(auto-fit,minmax(150px,1fr)); gap:8px; margin:10px 0; }
.metric { background:#18212b; border:1px solid #2d3a47; border-radius:10px; padding:10px; }
.metric-grid { display:grid; grid-template-columns:repeat(auto-fit,minmax(120px,1fr)); gap:6px; margin:8px 0; }
.metric { background:#18212b; border:1px solid #2d3a47; border-radius:8px; padding:8px; min-width:0; }
.metric strong { display:block; margin-bottom:4px; color:#cfe0ec; font-size:.84rem; }
.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; }
.manual-context { margin-top:12px; background:#111a23; border:1px solid #31404d; border-radius:8px; padding:10px; }
.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; }
@@ -59,11 +72,12 @@
@media (max-width: 760px) {
header { padding:18px 14px; }
header h1 { font-size:1.55rem; }
main { display:block; padding:10px; }
section { margin-bottom:12px; padding:14px; border-radius:14px; }
main { display:block; padding:8px; }
section { margin-bottom:10px; padding:10px; border-radius:8px; }
.steps { grid-template-columns:1fr; }
.grid-two { grid-template-columns:1fr; }
.metric-grid { grid-template-columns:1fr 1fr; }
.card-list { grid-template-columns:1fr; }
.actions { display:grid; grid-template-columns:1fr; }
.actions button, button.compact { width:100%; min-width:0; margin-right:0; }
.quick-nav { padding:8px 10px; }
@@ -90,7 +104,8 @@
</nav>
<main>
<section class="wide" id="guide">
<h2>So gehst du vor</h2>
<details class="collapsible">
<summary><span>So gehst du vor</span></summary>
<div class="steps">
<div class="step">
<span class="step-number">1</span>
@@ -111,6 +126,7 @@
<p><strong>Was passiert?</strong> Erst dann darf SillyHome passende Vorhersagen automatisch ausführen. Die Freigabe kann jederzeit gestoppt werden.</p>
</div>
</div>
</details>
</section>
<section id="status-section">
@@ -142,6 +158,9 @@
<option value="lock">Schlösser</option>
<option value="fan">Lüftung / Ventilatoren</option>
<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>
@@ -157,6 +176,7 @@
</select>
<button onclick="configureActuator()">Gerät hinzufügen und Beobachtung starten</button>
<p id="actuator-config-result" class="muted">Noch kein Aktor ausgewählt.</p>
<div id="actuator-suggestions" class="card-list"></div>
</section>
<section class="wide" id="observed">
@@ -182,7 +202,21 @@ 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;
const STATUS_TIMEOUT_MS = 2500;
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});
@@ -191,8 +225,20 @@ async function api(path, options = {}) {
return body;
}
async function apiWithTimeout(path, timeoutMs = STATUS_TIMEOUT_MS) {
const controller = new AbortController();
const timeout = setTimeout(() => controller.abort(), timeoutMs);
try {
return await api(path, {signal: controller.signal});
} finally {
clearTimeout(timeout);
}
}
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",
@@ -201,26 +247,32 @@ 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";
if (record.lifecycle.status === "trained") return "ok";
if (["pending_history", "pending_assignment", "archived"].includes(record.lifecycle.status)) return "warn";
const behaviorStatus = record.behavior_status || record.behavior?.status;
const lifecycleStatus = record.lifecycle_status || record.lifecycle?.status;
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";
if (record.behavior.status === "trained") return "Shadow-Vorhersage";
if (record.behavior.status === "blocked") return "Lernen blockiert";
const mode = record.behavior_mode || record.behavior?.mode;
const status = record.behavior_status || record.behavior?.status;
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
? `${record.behavior.prediction.target_state} (${Math.round(record.behavior.prediction.confidence * 100)} %)`
const target = record.prediction_target_state || record.behavior?.prediction?.target_state;
const confidence = record.prediction_confidence ?? record.behavior?.prediction?.confidence;
return target
? `${target} (${Math.round(confidence * 100)} %)`
: "Keine fällige Aktion";
}
@@ -248,14 +300,33 @@ 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";
@@ -280,39 +351,93 @@ function optionGroups(entities, selectedIds = new Set()) {
}
async function loadOverview() {
document.getElementById("configured-actuators").innerHTML = "<p class='muted'>Beobachtete Geräte werden geladen ...</p>";
await loadSummaryData();
renderConfiguredActuators();
void loadStatus();
void loadActuatorDiscovery();
void loadActuatorSuggestions();
}
async function loadStatus() {
const status = document.getElementById("status");
const chips = document.getElementById("status-chips");
status.innerHTML = "<p class='muted'>Status wird geprüft ...</p>";
try {
const [health, websocket, ml, reconciliation, actuators] = await Promise.all([
api("health"),
api("health/websocket"),
api("ml/health"),
api("v1/actuators/reconciliation/state"),
api("v1/actuators"),
const [health, websocket, ml, reconciliation, actuators] = await Promise.allSettled([
apiWithTimeout("health"),
apiWithTimeout("health/websocket"),
apiWithTimeout("ml/health"),
apiWithTimeout("v1/actuators/reconciliation/state"),
apiWithTimeout("v1/actuators/summary"),
]);
status.innerHTML = `<p class="ok">System bereit</p><p>Letzte automatische Prüfung: ${escapeHtml(reconciliation.last_completed_at || "noch nie")}</p>`;
const values = [health, websocket, ml, reconciliation, actuators].map(result =>
result.status === "fulfilled" ? result.value : null
);
const [healthValue, websocketValue, mlValue, reconciliationValue, actuatorValue] = values;
const hasError = values.some(value => value === null);
status.innerHTML = hasError
? "<p class='warn'>Status teilweise verfügbar. Das Dashboard bleibt bedienbar.</p>"
: `<p class="ok">System bereit</p><p>Letzte automatische Prüfung: ${escapeHtml(reconciliationValue.last_completed_at || "noch nie")}</p>`;
chips.innerHTML = [
`<span class="chip">API: ${escapeHtml(health.status)}</span>`,
`<span class="chip">WebSocket: ${escapeHtml(websocket.status)}</span>`,
`<span class="chip">Lernsystem: ${escapeHtml(ml.status)}</span>`,
`<span class="chip">Aktoren: ${actuators.length}</span>`,
`<span class="chip">Lernbereite Geräte: ${reconciliation.trained_models}</span>`,
`<span class="chip">API: ${escapeHtml(healthValue?.status || "offen")}</span>`,
`<span class="chip">WebSocket: ${escapeHtml(websocketValue?.status || "offen")}</span>`,
`<span class="chip">Lernsystem: ${escapeHtml(mlValue?.status || "offen")}</span>`,
`<span class="chip">Aktoren: ${Array.isArray(actuatorValue) ? actuatorValue.length : "offen"}</span>`,
`<span class="chip">Lernbereite Geräte: ${escapeHtml(reconciliationValue?.trained_models ?? "offen")}</span>`,
].join("");
} catch (error) {
status.innerHTML = `<p class="bad">${escapeHtml(error.message)}</p>`;
chips.innerHTML = "";
}
await Promise.all([loadActuatorDiscovery(), loadConfiguredActuators()]);
}
async function loadSummaryData() {
const actuators = await api("v1/actuators/summary");
cachedActuators = actuators;
cachedEntities = [];
}
async function loadDashboardData() {
await loadSummaryData();
await loadDiscoveryData();
}
async function loadDiscoveryData() {
const discovery = await api("v1/actuators/discovery");
cachedDiscovery = discovery;
}
async function loadFullDashboardData() {
const [actuators, discovery] = await Promise.all([
api("v1/actuators/summary"),
api("v1/actuators/discovery"),
]);
cachedActuators = actuators;
cachedEntities = [];
cachedDiscovery = discovery;
}
async function loadActuatorDiscovery() {
const select = document.getElementById("actuator-select");
if (select && !cachedDiscovery) {
select.innerHTML = `<option value="">Geräteliste lädt im Hintergrund ...</option>`;
}
if (!cachedActuators) {
await loadSummaryData();
}
if (!cachedDiscovery) {
await loadDiscoveryData();
}
renderActuatorDiscovery();
}
function renderActuatorDiscovery() {
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 available = cachedDiscovery || [];
const configured = cachedActuators || [];
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 =>
@@ -321,7 +446,33 @@ async function loadActuatorDiscovery() {
renderActuatorSelect();
} catch (error) {
options.innerHTML = "";
select.innerHTML = `<option value="">Geräteliste konnte nicht geladen werden</option>`;
select.innerHTML = `<option value="">Geräteliste konnte nicht geladen werden: ${escapeHtml(error.message)}</option>`;
}
}
async function loadActuatorSuggestions() {
const box = document.getElementById("actuator-suggestions");
if (!box) return;
try {
const suggestions = await api("v1/actuators/suggestions");
box.innerHTML = suggestions.length ? `
<h3>Vorschläge aus bestehenden Zusammenhängen</h3>
${suggestions.slice(0, 8).map(item => `
<article class="actuator-card">
<div class="card-title">
<div>
<div class="entity-id">${escapeHtml(item.entity_id)}</div>
<div class="muted">${escapeHtml(item.area_name || item.device_name || item.domain)}</div>
</div>
<span class="chip">${Math.round(item.confidence * 100)} %</span>
</div>
<p class="muted">${escapeHtml(item.reason)}</p>
<button class="secondary" onclick="configureSuggestedActuator('${escapeHtml(item.entity_id)}')">Vorschlag übernehmen</button>
</article>
`).join("")}
` : "";
} catch (_) {
box.innerHTML = "";
}
}
@@ -333,7 +484,10 @@ function actuatorGroupLabel(domain) {
input_boolean: "Helper-Schalter",
input_button: "Helper-Buttons",
lock: "Schlösser",
media_player: "TV / Medien",
number: "Numerische Helper",
remote: "Fernbedienungen",
scene: "Szenen",
switch: "Schalter / Steckdosen",
cover: "Rollläden / Cover",
fan: "Lüftung / Ventilatoren",
@@ -431,37 +585,57 @@ async function configureActuator() {
}
async function loadConfiguredActuators() {
if (!cachedActuators) {
await loadSummaryData();
}
renderConfiguredActuators();
}
function renderConfiguredActuators() {
const box = document.getElementById("configured-actuators");
try {
const rows = await api("v1/actuators");
const rows = cachedActuators || [];
const groups = new Map();
for (const record of rows) {
const group = record.area_name || actuatorGroupLabel(record.domain || record.actuator_entity_id.split(".", 1)[0]);
if (!groups.has(group)) groups.set(group, []);
groups.get(group).push({record});
}
const groupedRows = [...groups.entries()].sort(([left], [right]) => left.localeCompare(right));
box.innerHTML = rows.length ? `
<div class="card-list">
${rows.map(record => `
${groupedRows.map(([group, items]) => `
<details class="group-panel" open>
<summary>${escapeHtml(group)} (${items.length})</summary>
<div class="card-list">
${items.map(({record}) => `
<article class="actuator-card ${currentActuatorId === record.actuator_entity_id ? "selected" : ""}">
<div class="card-title">
<div>
<div><strong>${escapeHtml(record.friendly_name || record.device_name || record.actuator_entity_id)}</strong></div>
<div class="entity-id">${escapeHtml(record.actuator_entity_id)}</div>
<div class="${record.behavior.status === "trained" ? "ok" : "warn"}">${escapeHtml(behaviorLabel(record))}</div>
<div class="${(record.behavior_status || record.behavior?.status) === "trained" ? "ok" : "warn"}">${escapeHtml(behaviorLabel(record))}</div>
</div>
<span class="chip">${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>Handlungen</strong>${record.behavior.sample_count}</div>
<div class="metric"><strong>Freigabe</strong><span class="${record.activation_ready ? "ok" : "warn"}">${escapeHtml(record.activation_ready ? "bereit" : record.activation_reason)}</span></div>
<div class="metric"><strong>Handlungen</strong>${record.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>
</div>
</article>
`).join("")}
</div>` : "<p>Noch keine Aktoren ausgewählt.</p>";
</div>
</details>
`).join("")}` : "<p>Noch keine Aktoren ausgewählt.</p>";
} catch (error) {
box.textContent = error.message;
}
@@ -484,8 +658,16 @@ 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 => `
<li>
<code>${escapeHtml(entityId)}</code>
<button class="secondary compact" onclick="removeContextEntity('${escapeHtml(record.actuator_entity_id)}', '${escapeHtml(entityId)}')">Entfernen</button>
</li>
`).join("")}</ul>`
: "<p class='muted'>Noch keine Kontext-Entity ausgewählt.</p>";
const prediction = record.behavior.prediction;
const learnedAutomationActions = record.behavior.patterns.filter(
pattern => pattern.source === "automation",
@@ -507,8 +689,8 @@ async function showActuator(actuatorId, evaluationMessage = "") {
selected: manualContextIds,
};
const manualAssignment = `
<div class="manual-context">
<h3>Kontext selbst festlegen</h3>
<details class="manual-context" open>
<summary>Kontext selbst festlegen</summary>
<p class="muted">Die Vorschläge sind aktorbezogen vorsortiert. Wenn etwas fehlt, trage die Entity-ID unten manuell ein, z. B. PIR, Helligkeit außen, Luftfeuchtigkeit oder Lichtzustände.</p>
<label for="manual-numeric-select">Optionaler Haupt-Messsensor</label>
<select id="manual-numeric-select">
@@ -538,7 +720,7 @@ async function showActuator(actuatorId, evaluationMessage = "") {
<button onclick="saveManualAssignment('${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>
</details>
`;
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>
@@ -601,6 +783,8 @@ 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>"}
<h3>Verwendete Sensoren/Zustände ändern</h3>
${currentContextControls}
${manualAssignment}
`;
document.getElementById("detail").scrollIntoView({behavior: "smooth", block: "start"});
@@ -628,6 +812,7 @@ async function saveManualAssignment(actuatorId) {
note: "Manuell im Dashboard gesetzt",
}),
});
invalidateDashboardCache();
await loadConfiguredActuators();
await showActuator(actuatorId, "Manuelle Kontext-Auswahl gespeichert.");
} catch (error) {
@@ -635,6 +820,35 @@ async function saveManualAssignment(actuatorId) {
}
}
async function removeContextEntity(actuatorId, entityId) {
try {
const record = await api(`v1/actuators/${encodeURIComponent(actuatorId)}`);
const numericEntityId = record.assignment.selected_numeric_entity_id === entityId
? null
: record.assignment.selected_numeric_entity_id;
const contextEntityIds = (record.assignment.selected_context_entity_ids || [])
.filter(id => id !== entityId);
await api(`v1/actuators/${encodeURIComponent(actuatorId)}/assignment`, {
method: "POST",
body: JSON.stringify({
numeric_entity_id: numericEntityId,
context_entity_ids: contextEntityIds,
note: `Entity ${entityId} entfernt`,
}),
});
invalidateDashboardCache();
await loadConfiguredActuators();
await showActuator(actuatorId, "Kontext-Entity entfernt.");
} catch (error) {
alert(error.message);
}
}
async function configureSuggestedActuator(actuatorId) {
document.getElementById("actuator-input").value = actuatorId;
await configureActuator();
}
async function evaluateActuator(actuatorId) {
try {
const record = await api(
@@ -647,6 +861,7 @@ 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) {
@@ -664,6 +879,7 @@ 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) {
@@ -689,6 +905,7 @@ async function setActivation(actuatorId, active, pauseMatchingAutomations, resto
restore_paused_automations: restorePausedAutomations,
}),
});
invalidateDashboardCache();
await loadConfiguredActuators();
await showActuator(actuatorId);
} catch (error) {
@@ -707,6 +924,7 @@ async function setRelatedAutomation(actuatorId, automationEntityId, enabled) {
enabled,
}),
});
invalidateDashboardCache();
await loadConfiguredActuators();
await showActuator(actuatorId);
} catch (error) {

View File

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "sillyhome-next"
version = "0.7.12"
version = "0.7.21"
description = "Lokales Smart-Home-Intelligenzsystem für Home Assistant"
requires-python = ">=3.11"
dependencies = [

View File

@@ -277,6 +277,81 @@ def test_reconciliation_ignores_generic_monitoring_area_for_automatic_context(
assert record.lifecycle.status is LifecycleStatus.ARCHIVED
def test_reconciliation_does_not_auto_select_overload_sensors_by_power_area(
tmp_path: Path,
) -> None:
entities = [
HaEntitySummary(
entity_id="light.treppe_unten",
domain="light",
friendly_name="Licht Treppe Unten",
area_name="Strom",
),
HaEntitySummary(
entity_id="binary_sensor.shelly_schrank_channel_1_overload",
domain="binary_sensor",
device_class="problem",
friendly_name="Shelly Schrank Channel 1 Überlast",
area_name="Strom",
),
HaEntitySummary(
entity_id="binary_sensor.terrasse_terasse_overheating",
domain="binary_sensor",
device_class="problem",
friendly_name="Terrasse Terasse Überhitzung",
area_name="Strom",
),
]
service = _service(tmp_path, entities, {})
record = service.configure_actuator("light.treppe_unten")
assert record.assignment.selected_context_entity_ids == []
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 = [
@@ -325,3 +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

View File

@@ -213,6 +213,23 @@ def test_manual_assignment_endpoint_updates_context(tmp_path: Path) -> None:
]
def test_summary_is_lightweight_and_uses_cached_entity_metadata(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.get("/v1/actuators/discovery")
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
response = client.get("/v1/actuators/summary")
assert response.status_code == 200
payload = response.json()
assert payload[0]["actuator_entity_id"] == "light.abstellkammer"
assert payload[0]["friendly_name"] == "Abstellkammer Licht"
assert payload[0]["area_name"] == "Abstellkammer"
assert "behavior" not in payload[0]
assert "numeric_candidates" not in payload[0]
def test_context_options_returns_learnable_entities(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)

View File

@@ -558,6 +558,7 @@ def test_cooldown_allows_opposite_follow_up_action(tmp_path: Path) -> None:
("domain", "state", "service"),
[
("light", "on", "turn_on"),
("media_player", "off", "turn_off"),
("switch", "off", "turn_off"),
("cover", "open", "open_cover"),
("cover", "closed", "close_cover"),

View File

@@ -91,6 +91,10 @@ def test_discovery_filters_domain_and_learnable() -> None:
HaEntitySummary(entity_id="input_boolean.sleep_mode", domain="input_boolean"),
"helper",
),
(
HaEntitySummary(entity_id="media_player.tv", domain="media_player"),
"media_tv",
),
(
HaEntitySummary(
entity_id="sensor.brightness",

View File

@@ -32,5 +32,12 @@ def test_dashboard_is_served_at_root() -> None:
assert "Kein frischer passender Sensorwechsel erkannt" in response.text
assert "Vorhersage jetzt prüfen" not in response.text
assert "record.behavior.activation_ready" in response.text
assert "record.behavior.status ===" not in response.text
assert "record.behavior_status || record.behavior?.status" in response.text
assert 'api("v1/actuators")' not in response.text
assert 'api("v1/actuators/summary")' in response.text
assert 'api("v1/entities")' not in response.text
assert 'details class="collapsible"' in response.text
assert 'class="group-panel"' in response.text
assert "Automation-Entwurf" not in response.text
assert "Manuelle Overrides" not in response.text

View File

@@ -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()