69 lines
3.8 KiB
JavaScript
69 lines
3.8 KiB
JavaScript
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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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const aggregateOutcomes_1 = require("./aggregateOutcomes");
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/** Builds N couples that completed day_30 with the given connection delta. */
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function couplesWithConnectionDelta(n, connectionDelta) {
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return Array.from({ length: n }, () => ({
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deltas: { day_30: { connection: connectionDelta, communication: 0, intimacy: 0, happiness: 0 } },
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}));
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}
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describe('aggregate', () => {
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it('suppresses a window below the minimum cohort', () => {
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const stats = (0, aggregateOutcomes_1.aggregate)(couplesWithConnectionDelta(aggregateOutcomes_1.MIN_COHORT - 1, 3));
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expect(stats.windows.day_30.suppressed).toBe(true);
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expect(stats.windows.day_30.feltCloserPct).toBeUndefined();
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expect(stats.windows.day_30.cohort).toBe(aggregateOutcomes_1.MIN_COHORT - 1);
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});
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it('reports percentages once the cohort meets the minimum', () => {
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// 60 couples: 45 improved connection, 15 did not.
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const improved = couplesWithConnectionDelta(45, 2);
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const flat = couplesWithConnectionDelta(15, 0);
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const stats = (0, aggregateOutcomes_1.aggregate)([...improved, ...flat]);
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expect(stats.windows.day_30.suppressed).toBe(false);
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expect(stats.windows.day_30.cohort).toBe(60);
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expect(stats.windows.day_30.feltCloserPct).toBe(75); // 45/60
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});
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it('counts only couples eligible for each window', () => {
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// day_60 has zero couples → suppressed; day_30 has enough.
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const stats = (0, aggregateOutcomes_1.aggregate)(couplesWithConnectionDelta(aggregateOutcomes_1.MIN_COHORT, 1));
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expect(stats.windows.day_30.suppressed).toBe(false);
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expect(stats.windows.day_60.suppressed).toBe(true);
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expect(stats.windows.day_60.cohort).toBe(0);
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});
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it('computes improved percentages per metric', () => {
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var _a, _b, _c, _d;
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const couples = Array.from({ length: aggregateOutcomes_1.MIN_COHORT }, (_, i) => ({
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deltas: {
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day_30: {
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connection: 1,
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communication: i < aggregateOutcomes_1.MIN_COHORT / 2 ? 1 : 0, // exactly half improved
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intimacy: 0,
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happiness: -1,
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},
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},
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}));
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const stats = (0, aggregateOutcomes_1.aggregate)(couples);
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expect((_a = stats.windows.day_30.improvedPctByMetric) === null || _a === void 0 ? void 0 : _a.connection).toBe(100);
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expect((_b = stats.windows.day_30.improvedPctByMetric) === null || _b === void 0 ? void 0 : _b.communication).toBe(50);
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expect((_c = stats.windows.day_30.improvedPctByMetric) === null || _c === void 0 ? void 0 : _c.intimacy).toBe(0);
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expect((_d = stats.windows.day_30.improvedPctByMetric) === null || _d === void 0 ? void 0 : _d.happiness).toBe(0);
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});
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it('emits no couple-identifying data — only counts and percentages', () => {
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const stats = (0, aggregateOutcomes_1.aggregate)(couplesWithConnectionDelta(aggregateOutcomes_1.MIN_COHORT, 2));
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const json = JSON.stringify(stats);
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expect(json).not.toMatch(/couple|uid|userId|score/i);
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});
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});
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describe('extractCoupleOutcome', () => {
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it('pulls only the follow-up deltas, ignoring day_0 and stray docs', () => {
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const out = (0, aggregateOutcomes_1.extractCoupleOutcome)([
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{ id: 'day_0', data: { baseline: { connection: 5 } } },
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{ id: 'day_30', data: { delta: { connection: 2, communication: 1 } } },
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{ id: 'random', data: { delta: { connection: 9 } } },
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]);
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expect(out.deltas.day_0).toBeUndefined();
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expect(out.deltas.day_30).toEqual({ connection: 2, communication: 1 });
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expect(out.deltas.random).toBeUndefined();
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});
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});
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//# sourceMappingURL=aggregateOutcomes.test.js.map
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