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47fa8eb0ce
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Split dashboard views and compact detail loading
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2026-06-17 22:34:38 +02:00 |
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bc4e33ddd8
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Localize and streamline dashboard loading
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2026-06-17 21:56:24 +02:00 |
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9419a9cd8c
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Add anomaly and performance monitoring
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2026-06-17 18:58:32 +02:00 |
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2ec2c64cba
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Add adaptive learning and model rollback
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2026-06-17 18:41:03 +02:00 |
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0101596e93
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Add safety dashboard and decision transparency
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2026-06-17 18:26:49 +02:00 |
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ca253d1e6c
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Fix dashboard text overflow and close v1 docs gaps
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2026-06-17 11:53:25 +02:00 |
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b9b5def7bb
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Add actuator sensor weighting controls
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2026-06-17 11:41:46 +02:00 |
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f8801e469a
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Polish v1 dashboard loading and layout
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2026-06-17 07:33:30 +02:00 |
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7ba9807a4e
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Prepare SillyHome Next 1.0.0 dashboard and API rework
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2026-06-17 01:13:43 +02:00 |
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4db4276b95
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Rework dashboard loading and cache entity metadata
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2026-06-17 00:41:50 +02:00 |
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98a2b2cc38
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Fix dashboard summary status rendering
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2026-06-17 00:21:14 +02:00 |
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f8bee92e64
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Optimize dashboard categories and context loading
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2026-06-17 00:02:19 +02:00 |
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9ddb065f62
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Speed up HA event processing
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2026-06-16 13:58:58 +02:00 |
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1b2b76455a
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Tighten context onboarding and actuator suggestions
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2026-06-16 12:06:03 +02:00 |
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e2826e92ec
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Improve SillyHome discovery and feedback learning
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2026-06-16 11:38:32 +02:00 |
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c5f42a39a9
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Fix realtime HA state-change execution
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2026-06-16 10:50:28 +02:00 |
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309b33b812
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Use fresh HA event state for behavior triggers
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2026-06-15 19:37:45 +02:00 |
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9db7cde179
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Fix HA websocket keepalive fallback
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2026-06-15 19:30:02 +02:00 |
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3140f65527
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Fix HA websocket state change handling
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2026-06-15 18:15:14 +02:00 |
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8cd8f3e3b7
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feat: improve actor-specific context selection
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2026-06-14 23:35:38 +02:00 |
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09e14689a3
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feat: add manual context assignment and fix actuator discovery
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2026-06-14 23:15:00 +02:00 |
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d87d3abc00
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fix: batch ha metadata and improve mobile dashboard
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2026-06-14 22:52:42 +02:00 |
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2ae5576b8f
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fix: complete websocket delivery for v0.7.1
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2026-06-14 22:30:29 +02:00 |
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c8f491ba1a
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feat: event-basierte Vorhersage via HA-WebSocket\n\n- Entfernt periodisches Prediction-Intervall (60s)\n- Fügt WebSocket-Listener hinzu, der bei jedem State Change sofort evaluiert\n- BehaviorEngine.handle_state_change() identifiziert betroffene Aktoren und löst evaluate() aus\n- Fallback periodische Vorhersage bleibt als Backup\n- pyproject: websockets dependency\n- tests: test_main.py für Event-Listener\n\nCloses #39
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2026-06-14 17:23:29 +02:00 |
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b3cf68eade
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CONTROL-001: add safe HA automation handoff
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2026-06-14 16:21:57 +02:00 |
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7ad97320a2
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BEHAVIOR-004: trust HA automation actions
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2026-06-14 15:58:05 +02:00 |
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1c5eab14b6
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UI-003: show prediction evaluation feedback
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2026-06-14 15:38:11 +02:00 |
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fb76d89204
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BEHAVIOR-003: learn causal shadow triggers
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2026-06-14 15:35:07 +02:00 |
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100f5af578
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UI-002: align context and activation status
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2026-06-14 15:28:52 +02:00 |
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47e8c7e549
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ASSIGN-001: reject unrelated actuator sensors
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2026-06-14 15:19:30 +02:00 |
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8d070fc9ca
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BUILD-001: invalidate addon application cache per release
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2026-06-14 11:38:36 +02:00 |
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da51ac2063
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UI-001: simplify addon setup and explain ingress workflow
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2026-06-14 11:02:38 +02:00 |
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fa250216be
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BEHAVIOR-001: learn and predict actuator actions
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2026-06-14 10:37:59 +02:00 |
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6305f52cd2
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ACT-001: actuator-first sensor lifecycle
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2026-06-13 22:45:07 +02:00 |
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5764b27bac
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MVP: add dashboard and Home Assistant add-on
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2026-06-13 21:12:02 +02:00 |
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2f7f49b8a0
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AUTO-001: add automation approval workflow
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Closes #21
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2026-06-13 20:21:08 +02:00 |
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0de537572d
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ML-009: add explainable predictions
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Closes #20
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2026-06-13 20:16:26 +02:00 |
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df2ddacfbf
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ML-008: add statistical baseline model
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Closes #19
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2026-06-13 20:13:06 +02:00 |
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816a516106
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HA-008 HA-009: add discovery and history pipeline
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Closes #17
Closes #18
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2026-06-13 20:06:05 +02:00 |
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840c404c1c
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ML-007: add retraining pipeline and API
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Closes #13
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2026-06-13 19:10:17 +02:00 |
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aaf319ff14
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harden delivery pipeline and production runtime
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2026-06-11 21:14:07 +02:00 |
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471146761e
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harden model registry persistence and evaluation
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2026-06-11 21:08:14 +02:00 |
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3bed5e790a
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unify production app configuration and ML routes
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2026-06-11 21:08:14 +02:00 |
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63d10a6c4f
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ML-006: Training- und Evaluations-Workflow vorbereiten
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2026-06-11 17:08:16 +02:00 |
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79e883f77d
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ML-004: Training-Feedback und Evaluation-Metriken
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2026-06-11 00:39:17 +02:00 |
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3cf9af3515
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ML-003: Predictor mit Sensor-Validierung und Batch-Interface
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2026-06-11 00:38:45 +02:00 |
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24be7a4f11
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ML-002: Trainingspipeline mit Tainted-Data-Check
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2026-06-11 00:21:21 +02:00 |
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627ee03230
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ML-001: Feature Store und erste ML-Tests hinzufügen
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2026-06-11 00:21:02 +02:00 |
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e2bc0644ae
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main: HeatingRule auf heizungsrelevante Sensoren begrenzen
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2026-06-11 00:12:19 +02:00 |
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445e4bcdf4
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Merge otto/ha-client-errors into main
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2026-06-10 23:29:30 +02:00 |
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