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