Files
gbrain/test/trajectory.test.ts

71 lines
2.0 KiB
TypeScript

import { describe, expect, test } from 'bun:test';
import type { TrajectoryPoint } from '../src/core/engine.ts';
import {
DEFAULT_REGRESSION_THRESHOLD,
detectRegressions,
} from '../src/core/trajectory.ts';
function point(args: {
id: number;
metric?: string;
value: number;
date: string;
}): TrajectoryPoint {
return {
fact_id: args.id,
valid_from: new Date(args.date),
metric: args.metric ?? 'net_income',
value: args.value,
unit: 'USD',
period: 'monthly',
event_type: null,
text: `${args.metric ?? 'net_income'} = ${args.value}`,
source_session: null,
source_markdown_slug: null,
embedding: null,
};
}
describe('detectRegressions', () => {
test('keeps existing positive-valued drop behavior', () => {
const regs = detectRegressions([
point({ id: 1, metric: 'mrr', value: 200000, date: '2026-01-01' }),
point({ id: 2, metric: 'mrr', value: 150000, date: '2026-02-01' }),
], DEFAULT_REGRESSION_THRESHOLD);
expect(regs).toHaveLength(1);
expect(regs[0]).toMatchObject({
metric: 'mrr',
from_value: 200000,
to_value: 150000,
});
expect(regs[0].delta_pct).toBeCloseTo(-0.25, 4);
});
test('does not flag a negative-valued metric improving toward zero', () => {
const regs = detectRegressions([
point({ id: 1, value: -1000, date: '2026-01-01' }),
point({ id: 2, value: -500, date: '2026-02-01' }),
], DEFAULT_REGRESSION_THRESHOLD);
expect(regs).toEqual([]);
});
test('flags a negative-valued metric worsening away from zero', () => {
const regs = detectRegressions([
point({ id: 1, value: -500, date: '2026-01-01' }),
point({ id: 2, value: -1000, date: '2026-02-01' }),
], DEFAULT_REGRESSION_THRESHOLD);
expect(regs).toHaveLength(1);
expect(regs[0]).toMatchObject({
metric: 'net_income',
from_value: -500,
to_value: -1000,
from_date: '2026-01-01',
to_date: '2026-02-01',
});
expect(regs[0].delta_pct).toBeCloseTo(-1.0, 4);
});
});