Siphonight
dfef8e90ef
Miroir strict de pk/LabTrajectoryModel.kt (Android v1.5.0) : - js/pk/lab-trajectory-model.js : courbe hybride M(t)×ρ(t) ancrée sur les labs — passage EXACT garanti, ρ log-linéaire, garde #61 (lab hors fenêtre d'action pas un ancrage), E2 seul, fenêtre [1er ; dernier lab], < 2 labs → vide, indépendante de la calibration (sinon double correction). JAMAIS dans levelAt/alertes. - UI : chip 'Tracé labs' (off par défaut) dans la rangée modèles + scroll horizontal CONFINÉ à la rangée (miroir du fix Android) ; couleur #c2185b dashed ; leçon #63 Android-miroir — clé 'LAB' SKIPPÉE de la boucle légende (sinon légende TFS dupliquée). - 11 tests miroirs de LabTrajectoryModelTest.kt (132 verts total). - WEB_VERSION = 1.5.0 + CHANGELOG [1.5.0] + docs (§4/§8, README). Détail d'exécution épingle: les deux problèmes du portage ont été attrapés par node --check/E2E avant release (imports ESM faux — labIsSignificant vit dans pk-calibration.js, pas pk-engine.js).
141 lines
6.6 KiB
JavaScript
141 lines
6.6 KiB
JavaScript
/**
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* Tests « Tracé labs » web (miroir de `LabTrajectoryModelTest.kt` Android)
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* — mêmes garanties épinglées : passage exact, ρ log-linéaire, garde #61,
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* fenêtre bornée aux labs, indépendance du scaleFactor.
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*/
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import { test, describe, before } from 'node:test';
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import assert from 'node:assert/strict';
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import {
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initProfiles, makeTreatment, makeDose, makeLab, HOUR_MS, DAY_MS, assertClose,
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} from './helpers.js';
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import { e2At } from '../js/pk/pk-engine.js';
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import {
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computeLabAnchoredCurve, ratioAt,
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} from '../js/pk/lab-trajectory-model.js';
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/** Traitement injectable EEn/TFS 5 mg, une dose à t=0, scaleFactor paramétrable. */
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function treatment(scaleFactor = 1.0) {
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return makeTreatment({ scaleFactor });
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}
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function doses() {
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return [makeDose(0, 5)];
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}
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const lab = (value, ts) => makeLab('E2', value, 'pg/mL', ts);
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const tLab = (ts) => makeLab('T', 0.35, 'ng/mL', ts);
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describe('LabTrajectoryModel web (miroir Android v1.5.0)', () => {
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before(() => initProfiles());
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test('passe exactement sur chaque lab', () => {
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const t2 = 2 * DAY_MS;
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const t7 = 7 * DAY_MS;
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const labs = [lab(300, t2), lab(260, t7)];
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const curve = computeLabAnchoredCurve([treatment()], doses(), labs, 0, 30 * DAY_MS, HOUR_MS);
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assert.equal(curve.anchoredLabs, 2);
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assertClose(curve.points.find((p) => p.timestamp === t2).e2, 300, 1e-6, 'ancrage lab 1');
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assertClose(curve.points.find((p) => p.timestamp === t7).e2, 260, 1e-6, 'ancrage lab 2');
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});
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test('rho interpole en log entre deux labs (math exacte)', () => {
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const t2 = 2 * DAY_MS;
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const t7 = 7 * DAY_MS;
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const tr = treatment();
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// Labs DATA-DRIVEN (miroir du fix du test Kotlin : M(2 d) ≠ le pic de référence)
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const m2 = e2At([tr], doses(), t2, null, null);
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const m7 = e2At([tr], doses(), t7, null, null);
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const labs = [lab(0.9 * m2, t2), lab(1.2 * m7, t7)];
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// 1) La fonction PURE ratioAt interpole exactement
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const pure = [[t2, 0.9], [t7, 1.2]];
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const expectedMid = Math.exp((Math.log(0.9) + Math.log(1.2)) / 2.0);
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assertClose(ratioAt(pure, t2), 0.9, 1e-12);
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assertClose(ratioAt(pure, t7), 1.2, 1e-12);
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assertClose(ratioAt(pure, (t2 + t7) / 2), expectedMid, 1e-9);
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// 2) La courbe restitue le même ρ
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const curve = computeLabAnchoredCurve([tr], doses(), labs, 0, 30 * DAY_MS, HOUR_MS);
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const mid = curve.points[Math.trunc(curve.points.length / 2)];
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const m = e2At([{ ...tr, scaleFactor: 1.0 }], doses(), mid.timestamp, null, null);
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assertClose(mid.e2 / m, expectedMid, 1e-9);
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});
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test('un seul lab significatif donne une courbe vide', () => {
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const curve = computeLabAnchoredCurve([treatment()], doses(),
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[lab(200, 3 * DAY_MS)], 0, 30 * DAY_MS, HOUR_MS);
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assert.equal(curve.points.length, 0);
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assert.equal(curve.anchoredLabs, 1, 'le lab compte mais ne suffit pas');
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});
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test('garde 61 - un lab hors fenêtre d action n est pas un ancrage', () => {
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const t2 = 2 * DAY_MS;
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const t7 = 7 * DAY_MS;
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const curve = computeLabAnchoredCurve([treatment()], doses(),
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[lab(300, t2), lab(260, t7), lab(3000, 60 * DAY_MS)], 0, 90 * DAY_MS, HOUR_MS);
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assert.equal(curve.anchoredLabs, 2, 'le lab tardif est rejeté');
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assert.ok(curve.points.every((p) => p.e2 <= 600), 'aucun point ne suit la valeur absurde');
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assert.ok(curve.points.every((p) => p.timestamp <= t7), 'fenêtre bornée au dernier lab significatif');
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});
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test('labs avant la première dose ne produisent aucun ancrage', () => {
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const curve = computeLabAnchoredCurve([treatment()], doses(),
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[lab(200, -10 * DAY_MS), lab(210, -5 * DAY_MS)], -15 * DAY_MS, 0, HOUR_MS);
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assert.equal(curve.points.length, 0);
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assert.equal(curve.anchoredLabs, 0);
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});
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test('la fenêtre du tracé est bornée par les labs et par la demande', () => {
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const t2 = 2 * DAY_MS;
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const t7 = 7 * DAY_MS;
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const labs = [lab(160, t2), lab(140, t7)];
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const wide = computeLabAnchoredCurve([treatment()], doses(), labs, 0, 60 * DAY_MS, HOUR_MS);
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assert.ok(wide.points.length > 0);
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assert.ok(wide.points.every((p) => p.timestamp >= t2 && p.timestamp <= t7));
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const narrow = computeLabAnchoredCurve([treatment()], doses(), labs, 3 * DAY_MS, 5 * DAY_MS, HOUR_MS);
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assert.ok(narrow.points.length > 0);
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assert.ok(narrow.points.every((p) => p.timestamp >= 3 * DAY_MS && p.timestamp <= 5 * DAY_MS));
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});
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test('indépendant du scaleFactor stocké (sinon double correction)', () => {
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const labs = [lab(300, 2 * DAY_MS), lab(260, 7 * DAY_MS)];
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const a = computeLabAnchoredCurve([treatment(1.0)], doses(), labs, 0, 30 * DAY_MS, HOUR_MS);
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const b = computeLabAnchoredCurve([treatment(0.55)], doses(), labs, 0, 30 * DAY_MS, HOUR_MS);
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assert.deepEqual(a.points, b.points, 'M diffère mais ρ compense exactement');
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});
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test('modelOverride - chaque modèle ancre avec sa prédiction (sémantique 60)', () => {
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// ESE vs WHS (ESE≈TFS quasi identiques par construction — seuil doc §8)
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const trEv = { ...treatment(), esterType: 'EV', route: 'INJECTION_IM' };
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const labs = [lab(320, 2 * DAY_MS), lab(240, 7 * DAY_MS)];
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const ese = computeLabAnchoredCurve([trEv], doses(), labs, 0, 30 * DAY_MS, HOUR_MS, 'ESE');
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const whs = computeLabAnchoredCurve([trEv], doses(), labs, 0, 30 * DAY_MS, HOUR_MS, 'WHS');
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assertClose(ese.points.find((p) => p.timestamp === 2 * DAY_MS).e2, 320, 1e-6);
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assertClose(whs.points.find((p) => p.timestamp === 2 * DAY_MS).e2, 320, 1e-6);
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const midEse = ese.points[Math.trunc(ese.points.length / 2)].e2;
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const midWhs = whs.points[Math.trunc(whs.points.length / 2)].e2;
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const relDiff = Math.abs(midEse - midWhs) / Math.max(Math.abs(midEse), Math.abs(midWhs));
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assert.ok(relDiff > 0.02, `empreinte intermédiaire ESE=${midEse} vs WHS=${midWhs}`);
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});
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test('les labs T sont ignorés (E2 uniquement)', () => {
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const labs = [lab(300, 2 * DAY_MS), tLab(3 * DAY_MS), lab(240, 7 * DAY_MS)];
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const curve = computeLabAnchoredCurve([treatment()], doses(), labs, 0, 30 * DAY_MS, HOUR_MS);
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assert.equal(curve.anchoredLabs, 2);
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});
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test('doublons de timestamp - le deuxième ratio gagne', () => {
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const t = 5 * DAY_MS;
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const anchors = [[t, 1.0], [t, 2.0], [10 * DAY_MS, 3.0]];
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assertClose(ratioAt(anchors, 10 * DAY_MS), 3.0, 1e-12);
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const expected = Math.exp(Math.log(2) + (7 - 5) / 5 * (Math.log(3) - Math.log(2)));
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assertClose(ratioAt(anchors, 7 * DAY_MS), expected, 1e-9);
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});
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test('ratioAt - gardes defensives aux bornes', () => {
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const anchors = [[0, 1.0], [10, 2.0]];
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assertClose(ratioAt(anchors, -5), 1.0, 1e-12);
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assertClose(ratioAt(anchors, 100), 2.0, 1e-12);
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});
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});
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