The operating-point series (flow.predicted.{downstream,atequipment},
power.predicted.atequipment) were only written by calcFlow/calcPower while
operational, or by _updateState on a state transition. A machine that boots
into idle and never runs therefore emitted these keys NEVER — so InfluxDB
carried only the flow envelope (max/min) and dashboard panels querying the
operating point rendered blank, unable to show even the off/0 state.
Seed them to 0 in _init() alongside max/min, so telemetry always carries the
operating point: 0 while idle, real values once the pump runs. Verified end to
end: keys now present in InfluxDB, the Grafana flow panel resolves, and the
real prediction path produces non-zero values (~98 m3/h, ~13 kW) that flow
through getOutput to Port 1.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Safety:
- Async input handler: await all handleInput() calls, prevents unhandled rejections
- Fix emergencyStop case mismatch: "emergencyStop" → "emergencystop" matching config
- Implement showCoG() method (was routing to undefined)
- Null guards on 6 methods for missing curve data
- Editor menu polling timeout (5s max)
- Listener cleanup on node close (child measurements + state emitter)
- Tick loop race condition: track startup timeout, clear on close
Prediction accuracy:
- Remove efficiency rounding that destroyed signal in canonical units
- Fix calcEfficiency variant: hydraulic power reads from correct variant
- Guard efficiency calculations against negative/zero values
- Division-by-zero protection in calcRelativeDistanceFromPeak
- Curve data anomaly detection (cross-pressure median-y ratio check)
- calcEfficiencyCurve O(n²) → O(n) with running min
- updateCurve bootstraps predictors when they were null
Tests: 43 new tests (76 total) covering emergency stop, shutdown/maintenance
sequences, efficiency/CoG, movement lifecycle, output format, null guards,
and listener cleanup.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
