BEHAVIOR-001: learn and predict actuator actions

This commit is contained in:
2026-06-14 10:37:59 +02:00
parent 6305f52cd2
commit fa250216be
34 changed files with 1614 additions and 489 deletions

View File

@@ -15,6 +15,12 @@ class Settings:
min_training_points: int = 24
retrain_stale_hours: int = 24
reconcile_interval_seconds: int = 900
min_behavior_actions: int = 3
prediction_confidence: float = 0.82
prediction_window_minutes: int = 30
prediction_interval_seconds: int = 60
execution_cooldown_seconds: int = 900
timezone: str = "Europe/Berlin"
@property
def ha_configured(self) -> bool:
@@ -34,4 +40,19 @@ def load_settings() -> Settings:
reconcile_interval_seconds=max(
60, int(os.getenv("SILLYHOME_RECONCILE_INTERVAL_SECONDS", "900"))
),
min_behavior_actions=max(2, int(os.getenv("SILLYHOME_MIN_BEHAVIOR_ACTIONS", "3"))),
prediction_confidence=max(
0.5,
min(0.99, float(os.getenv("SILLYHOME_PREDICTION_CONFIDENCE", "0.82"))),
),
prediction_window_minutes=max(
5, min(120, int(os.getenv("SILLYHOME_PREDICTION_WINDOW_MINUTES", "30")))
),
prediction_interval_seconds=max(
30, int(os.getenv("SILLYHOME_PREDICTION_INTERVAL_SECONDS", "60"))
),
execution_cooldown_seconds=max(
60, int(os.getenv("SILLYHOME_EXECUTION_COOLDOWN_SECONDS", "900"))
),
timezone=os.getenv("SILLYHOME_TIMEZONE", "Europe/Berlin"),
)