Runtime:
- Fix silent no-op when user selected any camelCase smoothing or outlier
method from the editor. validateEnum in generalFunctions lowercases enum
values (zScore -> zscore, lowPass -> lowpass, ...) but the dispatcher
compared against camelCase keys. Effect: 5 of 11 smoothing methods
(lowPass, highPass, weightedMovingAverage, bandPass, savitzkyGolay) and
2 of 3 outlier methods (zScore, modifiedZScore) silently fell through.
Users got the raw last value or no outlier filtering with no error log.
Review any pre-2026-04-13 flows that relied on these methods.
Fix: normalize method names to lowercase on both sides of the lookup.
- New Channel class (src/channel.js) — self-contained per-channel pipeline:
outlier -> offset -> scaling -> smoothing -> min/max -> constrain -> emit.
Pure domain logic, no Node-RED deps, reusable by future nodes that need
the same signal-conditioning chain.
Digital mode:
- config.mode.current = 'digital' opts in. config.channels declares one
entry per expected JSON key; each channel has its own type, position,
unit, distance, and optional scaling/smoothing/outlierDetection blocks
that override the top-level analog-mode fields. One MQTT-shaped payload
({t:22.5, h:45, p:1013}) dispatches N independent pipelines and emits N
MeasurementContainer slots from a single input message.
- Backward compatible: absent mode config = analog = pre-digital behaviour.
Every existing measurement flow keeps working unchanged.
UI:
- HTML editor: new Mode dropdown and Channels JSON textarea. The Node-RED
help panel is rewritten end-to-end with topic reference, port contracts,
per-mode configuration, smoothing/outlier method tables, and a note
about the pre-fix behaviour.
- README.md rewritten (was a one-line stub).
Tests (12 -> 71, all green):
- test/basic/smoothing-methods.basic.test.js (+16): every smoothing method
including the formerly-broken camelCase ones.
- test/basic/outlier-detection.basic.test.js (+10): every outlier method,
fall-through, toggle.
- test/basic/scaling-and-interpolation.basic.test.js (+10): offset,
interpolateLinear, constrain, handleScaling edge cases, min/max
tracking, updateOutputPercent fallback, updateOutputAbs emit dedup.
- test/basic/calibration-and-stability.basic.test.js (+11): calibrate
(stable and unstable), isStable, evaluateRepeatability refusals,
toggleSimulation, tick simulation on/off.
- test/integration/digital-mode.integration.test.js (+12): channel build
(including malformed entries), payload dispatch, multi-channel emit,
unknown keys, per-channel scaling/smoothing/outlier, empty channels,
non-numeric value rejection, getDigitalOutput shape, analog-default
back-compat.
E2E verified on Dockerized Node-RED: analog regression unchanged; digital
mode deploys with three channels, dispatches MQTT-style payload, emits
per-channel events, accumulates per-channel smoothing, ignores unknown
keys.
Depends on generalFunctions commit e50be2e (permissive unit check +
mode/channels schema).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
122 lines
4.4 KiB
JavaScript
122 lines
4.4 KiB
JavaScript
const test = require('node:test');
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const assert = require('node:assert/strict');
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const { makeMeasurementInstance } = require('../helpers/factories');
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/**
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* Tests for the calibration / stability / repeatability primitives. These
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* methods interact with the stored window from the smoothing pipeline, so
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* each test seeds storedValues explicitly.
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*/
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test("isStable returns false with fewer than 2 samples", () => {
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const m = makeMeasurementInstance();
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m.storedValues = [];
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assert.equal(m.isStable(), false); // current implementation returns false (not object) at <2 samples
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});
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test("isStable reports stability and stdDev for a flat window", () => {
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const m = makeMeasurementInstance();
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m.storedValues = [10, 10, 10, 10, 10];
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const { isStable, stdDev } = m.isStable();
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assert.equal(isStable, true);
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assert.equal(stdDev, 0);
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});
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test("evaluateRepeatability returns stdDev when conditions are met", () => {
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const m = makeMeasurementInstance({
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smoothing: { smoothWindow: 5, smoothMethod: 'mean' },
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});
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m.storedValues = [10, 10, 10, 10, 10];
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const rep = m.evaluateRepeatability();
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assert.equal(rep, 0);
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});
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test("evaluateRepeatability refuses when smoothing is disabled", () => {
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const m = makeMeasurementInstance({
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smoothing: { smoothWindow: 5, smoothMethod: 'none' },
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});
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m.storedValues = [10, 10, 10, 10, 10];
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assert.equal(m.evaluateRepeatability(), null);
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});
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test("evaluateRepeatability refuses with insufficient samples", () => {
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const m = makeMeasurementInstance({
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smoothing: { smoothWindow: 5, smoothMethod: 'mean' },
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});
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m.storedValues = [10];
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assert.equal(m.evaluateRepeatability(), null);
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});
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test("calibrate sets offset when input is stable and scaling enabled", () => {
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const m = makeMeasurementInstance({
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scaling: { enabled: true, inputMin: 4, inputMax: 20, absMin: 0, absMax: 100, offset: 0 },
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smoothing: { smoothWindow: 5, smoothMethod: 'mean' },
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});
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// Stable window fed through calculateInput so outputAbs reflects the
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// pipeline (important because calibrate uses outputAbs for its delta).
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[3, 3, 3, 3, 3].forEach((v) => m.calculateInput(v));
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const outputBefore = m.outputAbs;
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m.calibrate();
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// Offset should now be inputMin - outputAbs(before).
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assert.equal(m.config.scaling.offset, 4 - outputBefore);
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});
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test("calibrate aborts when input is not stable", () => {
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const m = makeMeasurementInstance({
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scaling: { enabled: true, inputMin: 0, inputMax: 100, absMin: 0, absMax: 10, offset: 0 },
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smoothing: { smoothWindow: 5, smoothMethod: 'mean' },
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});
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// Cheat: populate storedValues with clearly non-stable data. calibrate
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// calls isStable() -> stdDev > threshold -> warn + no offset change.
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m.storedValues = [0, 100, 0, 100, 0];
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const offsetBefore = m.config.scaling.offset;
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m.calibrate();
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assert.equal(m.config.scaling.offset, offsetBefore);
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});
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test("calibrate uses absMin when scaling is disabled", () => {
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const m = makeMeasurementInstance({
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scaling: { enabled: false, inputMin: 0, inputMax: 1, absMin: 5, absMax: 10, offset: 0 },
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smoothing: { smoothWindow: 5, smoothMethod: 'mean' },
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});
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[5, 5, 5, 5, 5].forEach((v) => m.calculateInput(v));
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const out = m.outputAbs;
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m.calibrate();
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assert.equal(m.config.scaling.offset, 5 - out);
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});
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test("toggleSimulation flips the simulation flag", () => {
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const m = makeMeasurementInstance({ simulation: { enabled: false } });
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m.toggleSimulation();
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assert.equal(m.config.simulation.enabled, true);
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m.toggleSimulation();
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assert.equal(m.config.simulation.enabled, false);
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});
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test("tick runs simulateInput when simulation is enabled", async () => {
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const m = makeMeasurementInstance({
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scaling: { enabled: false, inputMin: 0, inputMax: 1, absMin: 0, absMax: 100, offset: 0 },
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smoothing: { smoothWindow: 1, smoothMethod: 'none' },
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simulation: { enabled: true },
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});
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const before = m.inputValue;
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await m.tick();
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await m.tick();
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await m.tick();
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// Simulated input must drift from its initial state.
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assert.notEqual(m.inputValue, before);
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});
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test("tick is a no-op on inputValue when simulation is disabled", async () => {
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const m = makeMeasurementInstance({
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scaling: { enabled: false, inputMin: 0, inputMax: 1, absMin: 0, absMax: 100, offset: 0 },
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smoothing: { smoothWindow: 1, smoothMethod: 'none' },
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simulation: { enabled: false },
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});
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m.inputValue = 42;
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await m.tick();
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await m.tick();
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assert.equal(m.inputValue, 42);
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});
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