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Silent command failures — commands acknowledged by the cloud but ignored by the spa are now retried once
Rapid command sequences — sending two commands quickly no longer causes stale retries or conflicting state
Added
3-tier adaptive polling — polling interval adjusts automatically based on spa activity:
Idle (120s): nothing running, state stable for 10+ minutes
Active (30s): heater, filter, bubble or jet is on
Rapid (1s for 15s): after sending a command from HA
External change (5s for 15s): when someone uses the physical panel or MSpa Link app
Historical prediction bias correction — past prediction accuracy is used to correct future time-to-target estimates, fading naturally as the rate model improves
Device Detail diagnostic sensor — extended device info fetched once on startup (product images, device UUID, warning code, etc.)
Temperature-bucketed heating rates — heating rate tracked in three temperature ranges for more accurate long-run estimates
Session condition scalar — ambient conditions (hot/cold day) are reflected in the estimate within the first few minutes of heating
Prediction accuracy tracker — logs estimated vs actual heating times for each session (last 10 persisted)
Time-decay on stored rates — stale seasonal data gradually loses influence over time
New sensor attributes: heat_rate_cold/mid/hot_deg_per_hour, session_condition_scalar, prediction_bias