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>
122 lines
4.8 KiB
JavaScript
122 lines
4.8 KiB
JavaScript
const test = require('node:test');
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const assert = require('node:assert/strict');
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const Machine = require('../../src/specificClass');
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const { makeMachineConfig, makeStateConfig } = require('../helpers/factories');
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test('getOutput contains all required fields in idle state', () => {
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const machine = new Machine(makeMachineConfig(), makeStateConfig());
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const output = machine.getOutput();
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// Core state fields
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assert.equal(output.state, 'idle');
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assert.ok('runtime' in output);
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assert.ok('ctrl' in output);
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assert.ok('moveTimeleft' in output);
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assert.ok('mode' in output);
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assert.ok('maintenanceTime' in output);
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// Efficiency fields
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assert.ok('cog' in output);
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assert.ok('NCog' in output);
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assert.ok('NCogPercent' in output);
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assert.ok('effDistFromPeak' in output);
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assert.ok('effRelDistFromPeak' in output);
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// Prediction health fields
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assert.ok('predictionQuality' in output);
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assert.ok('predictionConfidence' in output);
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assert.ok('predictionPressureSource' in output);
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assert.ok('predictionFlags' in output);
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// Pressure drift fields
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assert.ok('pressureDriftLevel' in output);
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assert.ok('pressureDriftSource' in output);
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assert.ok('pressureDriftFlags' in output);
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});
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test('getOutput flow drift fields appear after sufficient measured flow samples', async () => {
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const machine = new Machine(makeMachineConfig(), makeStateConfig());
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await machine.handleInput('parent', 'execSequence', 'startup');
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machine.updateMeasuredPressure(1000, 'downstream', { timestamp: Date.now(), unit: 'mbar', childName: 'pt' });
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await machine.handleInput('parent', 'execMovement', 50);
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// Provide multiple measured flow samples to trigger valid drift assessment
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const baseTime = Date.now();
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for (let i = 0; i < 12; i++) {
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machine.updateMeasuredFlow(100 + i, 'downstream', {
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timestamp: baseTime + (i * 1000),
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unit: 'm3/h',
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childId: 'flow-sensor',
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childName: 'FT-1',
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});
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}
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const output = machine.getOutput();
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// Drift fields should appear once enough samples provide a valid assessment
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if ('flowNrmse' in output) {
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assert.ok(typeof output.flowNrmse === 'number');
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assert.ok('flowDriftValid' in output);
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}
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// At minimum, prediction health fields should always be present
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assert.ok('predictionQuality' in output);
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assert.ok('predictionConfidence' in output);
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});
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test('getOutput prediction confidence is 0 in non-operational state', () => {
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const machine = new Machine(makeMachineConfig(), makeStateConfig());
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const output = machine.getOutput();
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assert.equal(output.predictionConfidence, 0);
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});
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test('getOutput prediction confidence reflects differential pressure', () => {
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const machine = new Machine(makeMachineConfig(), makeStateConfig({ state: { current: 'operational' } }));
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// Differential pressure → high confidence
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machine.updateMeasuredPressure(800, 'upstream', { timestamp: Date.now(), unit: 'mbar', childName: 'pt-up' });
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machine.updateMeasuredPressure(1200, 'downstream', { timestamp: Date.now(), unit: 'mbar', childName: 'pt-down' });
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const output = machine.getOutput();
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assert.ok(output.predictionConfidence >= 0.8, `Confidence ${output.predictionConfidence} should be >= 0.8 with differential pressure`);
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assert.equal(output.predictionPressureSource, 'differential');
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});
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test('getOutput values are in configured output units not canonical', () => {
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const machine = new Machine(makeMachineConfig(), makeStateConfig({ state: { current: 'operational' } }));
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machine.updateMeasuredPressure(1000, 'downstream', { timestamp: Date.now(), unit: 'mbar', childName: 'pt' });
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machine.updatePosition();
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const output = machine.getOutput();
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// Flow keys should contain values in m3/h (configured), not m3/s (canonical)
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// Predicted flow at minimum pressure should be in a reasonable m3/h range, not ~0.003 m3/s
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const flowKey = Object.keys(output).find(k => k.startsWith('flow.predicted.downstream'));
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if (flowKey) {
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const flowVal = output[flowKey];
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assert.ok(typeof flowVal === 'number', 'Flow output should be a number');
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// m3/h values are typically 0-300, m3/s values are 0-0.08
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// If in canonical units it would be very small
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if (flowVal > 0) {
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assert.ok(flowVal > 0.1, `Flow value ${flowVal} looks like canonical m3/s, should be m3/h`);
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}
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}
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});
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test('getOutput NCogPercent is correctly derived from NCog', () => {
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const machine = new Machine(makeMachineConfig(), makeStateConfig({ state: { current: 'operational' } }));
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machine.updateMeasuredPressure(1000, 'downstream', { timestamp: Date.now(), unit: 'mbar', childName: 'pt' });
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machine.updatePosition();
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const output = machine.getOutput();
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const expected = Math.round(output.NCog * 100 * 100) / 100;
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assert.equal(output.NCogPercent, expected, 'NCogPercent should be NCog * 100, rounded to 2 decimals');
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});
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