src/curves/ loader + normalizer (with cross-pressure anomaly
detection) + reverseCurve helper
src/prediction/ predictors (predictFlow/Power/Ctrl) +
groupPredictors (lazy group-scope views) +
OperatingPoint (pressure-driven prediction setpoints)
src/drift/ DriftAssessor (per-metric drift) + PredictionHealth
(composes flow/power/pressure into HealthStatus +
confidence sibling — see OPEN_QUESTIONS 2026-05-10)
src/pressure/ VirtualPressureChildren (dashboard-sim) +
PressureInitialization (real-vs-virtual tracking) +
PressureRouter (dispatches by position)
src/state/ stateBindings (state.emitter listener helper) +
isOperationalState
src/measurement/ measurementHandlers (dispatcher for flow/power/temp/pressure)
src/flow/ flowController (handleInput body — execSequence,
execMovement, flowMovement, emergencystop)
src/display/ workingCurves (showWorkingCurves + showCoG admin)
src/commands/ canonical names: set.mode, cmd.startup/shutdown/estop,
set.setpoint, set.flow-setpoint,
data.simulate-measurement, query.curves, query.cog,
child.register. execSequence demuxes by payload.action
to canonical cmd.* handlers.
CONTRACT.md inputs/outputs/events/children surface
110 basic tests pass (100 new + 10 pre-existing).
specificClass.js / nodeClass.js untouched — integration in P5 wave 2.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
136 lines
4.7 KiB
JavaScript
136 lines
4.7 KiB
JavaScript
'use strict';
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/**
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* DriftAssessor — extracted from rotatingMachine specificClass.
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*
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* Wraps the generalFunctions errorMetrics into a per-metric drift
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* pipeline (flow / power). Holds the latest drift objects so
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* predictionHealth can reuse them; the host node still mirrors them
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* onto its own fields for output compatibility.
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*/
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class DriftAssessor {
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/**
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* @param {object} ctx
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* - errorMetrics: assessPoint(metricId, predicted, measured, opts) + assessDrift(...)
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* - measurements: MeasurementContainer (for assessDrift history pulls)
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* - driftProfiles: { flow, power, ... }
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* - resolveProcessRange(metricId, predicted, measured) -> { processMin, processMax }
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* - measurementPositionForMetric(metricId) -> string
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* - logger: { warn, debug, ... }
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*/
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constructor(ctx = {}) {
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this.errorMetrics = ctx.errorMetrics;
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this.measurements = ctx.measurements;
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this.driftProfiles = ctx.driftProfiles || {};
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this.resolveProcessRange = ctx.resolveProcessRange;
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this.measurementPositionForMetric = ctx.measurementPositionForMetric;
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this.logger = ctx.logger || { warn() {}, debug() {} };
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this.latest = { flow: null, power: null };
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}
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/**
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* Compute drift for a metric given a freshly-arrived measured value.
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* Returns the drift object (or null on error / non-finite inputs).
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*/
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updateMetricDrift(metricId, measuredValue, context = {}) {
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const position = this._positionForMetric(metricId);
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const predictedValue = this._getPredicted(metricId, position);
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const measured = Number(measuredValue);
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if (!Number.isFinite(predictedValue) || !Number.isFinite(measured)) return null;
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const { processMin, processMax } = this._processRange(metricId, predictedValue, measured);
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const timestamp = Number(context.timestamp || Date.now());
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const profile = this.driftProfiles[metricId] || {};
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try {
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const drift = this.errorMetrics.assessPoint(metricId, predictedValue, measured, {
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...profile,
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processMin,
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processMax,
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predictedTimestamp: timestamp,
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measuredTimestamp: timestamp,
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});
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if (drift && drift.valid) this.latest[metricId] = drift;
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return drift;
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} catch (err) {
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this.logger.warn(`Drift update failed for metric '${metricId}': ${err.message}`);
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return null;
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}
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}
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/**
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* Pull stored predicted/measured series and run a full drift assessment.
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*/
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assessDrift(measurement, processMin, processMax) {
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const metricId = String(measurement || '').toLowerCase();
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const position = this._positionForMetric(metricId);
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const predicted = this.measurements
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?.type(metricId).variant('predicted').position(position).getAllValues();
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const measured = this.measurements
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?.type(metricId).variant('measured').position(position).getAllValues();
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if (!predicted?.values || !measured?.values) return null;
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return this.errorMetrics.assessDrift(
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predicted.values,
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measured.values,
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processMin,
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processMax,
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{
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metricId,
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predictedTimestamps: predicted.timestamps,
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measuredTimestamps: measured.timestamps,
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...(this.driftProfiles[metricId] || {}),
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},
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);
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}
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/**
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* Pure helper: reduce a confidence figure by drift severity and push
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* matching flag strings. Returns the updated confidence.
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*/
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applyDriftPenalty(drift, confidence, flags, prefix) {
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if (!drift || !drift.valid || !Number.isFinite(drift.nrmse)) return confidence;
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if (drift.immediateLevel >= 3) {
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confidence -= 0.3;
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flags.push(`${prefix}_high_immediate_drift`);
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} else if (drift.immediateLevel === 2) {
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confidence -= 0.2;
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flags.push(`${prefix}_medium_immediate_drift`);
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} else if (drift.immediateLevel === 1) {
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confidence -= 0.1;
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flags.push(`${prefix}_low_immediate_drift`);
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}
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if (drift.longTermLevel >= 2) {
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confidence -= 0.1;
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flags.push(`${prefix}_long_term_drift`);
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}
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return confidence;
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}
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_positionForMetric(metricId) {
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if (typeof this.measurementPositionForMetric === 'function') {
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return this.measurementPositionForMetric(metricId);
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}
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return metricId === 'flow' ? 'downstream' : 'atEquipment';
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}
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_processRange(metricId, predicted, measured) {
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if (typeof this.resolveProcessRange === 'function') {
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return this.resolveProcessRange(metricId, predicted, measured);
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}
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const lo = Math.min(predicted, measured);
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const hi = Math.max(predicted, measured);
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return { processMin: lo, processMax: hi > lo ? hi : lo + 1 };
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}
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_getPredicted(metricId, position) {
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return Number(
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this.measurements
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?.type(metricId).variant('predicted').position(position).getCurrentValue(),
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);
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}
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}
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module.exports = DriftAssessor;
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