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>
131 lines
4.3 KiB
JavaScript
131 lines
4.3 KiB
JavaScript
'use strict';
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const test = require('node:test');
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const assert = require('node:assert/strict');
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const DriftAssessor = require('../../src/drift/driftAssessor');
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/* ---- fakes ---- */
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function fakeMeasurements(predictedValue) {
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return {
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type() { return this; },
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variant() { return this; },
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position() { return this; },
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getCurrentValue() { return predictedValue; },
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getAllValues() { return { values: [predictedValue], timestamps: [1] }; },
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};
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}
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function makeErrorMetrics(driftFactory) {
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return {
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assessPoint: (metricId, predicted, measured, opts) => driftFactory(metricId, predicted, measured, opts),
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assessDrift: () => ({ nrmse: 0.1, valid: true }),
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};
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}
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const SILENT = { warn() {}, debug() {} };
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test('updateMetricDrift returns drift object when predicted+measured both finite', () => {
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const drift = { valid: true, nrmse: 0.05, immediateLevel: 0, longTermLevel: 0 };
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const assessor = new DriftAssessor({
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errorMetrics: makeErrorMetrics(() => drift),
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measurements: fakeMeasurements(10),
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driftProfiles: { flow: {} },
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logger: SILENT,
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});
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const out = assessor.updateMetricDrift('flow', 11);
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assert.deepEqual(out, drift);
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assert.equal(assessor.latest.flow, drift);
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});
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test('updateMetricDrift returns null when predicted is non-finite', () => {
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const assessor = new DriftAssessor({
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errorMetrics: makeErrorMetrics(() => ({ valid: true })),
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measurements: fakeMeasurements(NaN),
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driftProfiles: {},
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logger: SILENT,
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});
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assert.equal(assessor.updateMetricDrift('flow', 5), null);
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});
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test('updateMetricDrift catches errorMetrics throw and logs', () => {
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const warns = [];
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const assessor = new DriftAssessor({
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errorMetrics: { assessPoint() { throw new Error('boom'); } },
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measurements: fakeMeasurements(10),
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driftProfiles: {},
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logger: { warn(m) { warns.push(m); }, debug() {} },
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});
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const out = assessor.updateMetricDrift('flow', 11);
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assert.equal(out, null);
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assert.match(warns[0], /Drift update failed for metric 'flow'/);
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});
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test('applyDriftPenalty leaves confidence unchanged for null/invalid drift', () => {
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const assessor = new DriftAssessor({ logger: SILENT });
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const flags = [];
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assert.equal(assessor.applyDriftPenalty(null, 0.9, flags, 'flow'), 0.9);
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assert.equal(assessor.applyDriftPenalty({ valid: false }, 0.9, flags, 'flow'), 0.9);
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assert.deepEqual(flags, []);
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});
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test('applyDriftPenalty level 1 reduces confidence by 0.1 + flag', () => {
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const assessor = new DriftAssessor({ logger: SILENT });
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const flags = [];
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const c = assessor.applyDriftPenalty(
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{ valid: true, nrmse: 0.1, immediateLevel: 1, longTermLevel: 0 },
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0.9, flags, 'flow',
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);
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assert.ok(Math.abs(c - 0.8) < 1e-9);
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assert.deepEqual(flags, ['flow_low_immediate_drift']);
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});
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test('applyDriftPenalty level 2 reduces confidence by 0.2 + flag', () => {
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const assessor = new DriftAssessor({ logger: SILENT });
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const flags = [];
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const c = assessor.applyDriftPenalty(
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{ valid: true, nrmse: 0.2, immediateLevel: 2, longTermLevel: 0 },
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0.9, flags, 'power',
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);
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assert.ok(Math.abs(c - 0.7) < 1e-9);
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assert.deepEqual(flags, ['power_medium_immediate_drift']);
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});
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test('applyDriftPenalty level 3 reduces confidence by 0.3 + flag', () => {
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const assessor = new DriftAssessor({ logger: SILENT });
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const flags = [];
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const c = assessor.applyDriftPenalty(
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{ valid: true, nrmse: 0.5, immediateLevel: 3, longTermLevel: 0 },
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0.9, flags, 'flow',
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);
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assert.ok(Math.abs(c - 0.6) < 1e-9);
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assert.deepEqual(flags, ['flow_high_immediate_drift']);
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});
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test('applyDriftPenalty stacks long-term penalty', () => {
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const assessor = new DriftAssessor({ logger: SILENT });
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const flags = [];
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const c = assessor.applyDriftPenalty(
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{ valid: true, nrmse: 0.4, immediateLevel: 2, longTermLevel: 2 },
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0.9, flags, 'flow',
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);
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assert.ok(Math.abs(c - 0.6) < 1e-9);
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assert.deepEqual(flags, ['flow_medium_immediate_drift', 'flow_long_term_drift']);
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});
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test('assessDrift returns null if no stored series', () => {
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const assessor = new DriftAssessor({
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errorMetrics: makeErrorMetrics(() => ({ valid: true })),
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measurements: {
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type() { return this; },
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variant() { return this; },
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position() { return this; },
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getAllValues() { return {}; },
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},
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driftProfiles: {},
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logger: SILENT,
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});
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assert.equal(assessor.assessDrift('flow', 0, 1), null);
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});
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