test(planning): compare the engine against a frozen engine on random requests

Bundle the planning core at a871f8f (develop after PR #278) as a frozen
fixture and compare it with the current engine on 5,000 seeded random
requests. Outcomes, stable explanations, explanation errors and final-state
snapshots must be strictly deep-equal. Requests cover obligations,
preferences, IF_THEN and TIME_WINDOW rules, earned entitlements, composed
optimization rules, declared days, year boundaries and public holidays.

Refs #280

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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nessarandClaude Opus 5.5 committed 2026-10-16 23:30:30 +02:00
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@@ -44,6 +44,49 @@ The measurements below describe earlier implementations and protocols. Their
trace counters and timings are historical; current evidence is in
[the #78 report](issue-78.md).
## Frozen-engine differential check
`src/app/services/frozen-engine.spec.ts` runs 5,000 seeded random planning
requests (seeds 280000 to 284999, one test per 200 seeds) through the current
engine and through a frozen copy of the engine at `a871f8f`, develop after
PR #278. For each request, the planning outcome, stable plan explanation,
explanation error and final-state snapshot must be strictly deep-equal,
including `PlanningConflict` and `InvalidInput` outcomes. Timings are not
compared.
Start dates span 2025 to 2027. About 15% of requests start in late December and
cross a year boundary, and about 15% start shortly before a weekday French
public holiday. Most horizons last 7 to 28 days; about 10% last 29 to 70 days
with optimization presets and at most one calendar rule. Requests cover
obligation and preference rules, `IF_THEN` rules with earned leave
entitlements, `TIME_WINDOW` rules, optimization presets in random order and
subsets, random composed optimization configurations, disabled rules, declared
non-working days and a few deliberately invalid requests. The last test fails
if an outcome kind, rule type, year-crossing horizon or public-holiday horizon
stops appearing. Requests stay small because candidate search grows quickly
with horizon length and balances; the slowest case takes about one second.
The fixture is `src/app/services/frozen-engine/leave-planner.core.frozen.mjs`,
a generated bundle with `date-holidays` left external, and its hand-written
`leave-planner.core.frozen.d.mts`. Rebuild it only for an intended behavior
change, in its own reviewed commit, from the commit that introduces the change:
```sh
bun build src/app/services/leave-planner.core.ts --target=node --external date-holidays --outfile src/app/services/frozen-engine/leave-planner.core.frozen.mjs
```
A failure prints the seed and the full request as JSON. To run only that seed:
```sh
FROZEN_ENGINE_SEED=<seed> bunx vitest run src/app/services/frozen-engine.spec.ts
```
The check runs in the functional suite. On the development laptop it takes
about 32 seconds without coverage and 38 seconds with coverage
(`NODE_OPTIONS=--max-old-space-size=2048 bunx vitest run src/app/services/frozen-engine.spec.ts --maxWorkers=1`).
A flipped objective direction in `compareObjectiveValues` made 26 of its tests
fail, starting at seed 280002; the change was reverted.
## Reference-phone protocol
Open the deployed application at `/benchmark` on the reference phone. Tap
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import { afterAll, describe, expect, it } from 'vitest';
import { createOptimizationPresetRules } from './rule-service';
import { frenchPublicHolidaysForYear, isWorkingPlanningDate } from './declared-non-working-days';
import { OPTIMIZATION_CATALOG } from './planning-objectives';
import {
calculatePlanningInternal,
type PlanningArtifacts,
type PlanningOutcome,
} from './leave-planner.core';
import { calculatePlanningInternal as frozenCalculate } from './frozen-engine/leave-planner.core.frozen.mjs';
/** Rebuild instructions for the frozen engine: docs/benchmark/README.md. */
const BASE_SEED = 280_000;
const CASES = 5000;
const CHUNK = 200;
function mulberry32(seed: number): () => number {
let a = seed >>> 0;
return () => {
a = (a + 0x6d2b79f5) >>> 0;
let t = a;
t = Math.imul(t ^ (t >>> 15), t | 1);
t ^= t + Math.imul(t ^ (t >>> 7), t | 61);
return ((t ^ (t >>> 14)) >>> 0) / 4294967296;
};
}
const DAY = 86_400_000;
const weekday = (ms: number) => ![0, 6].includes(new Date(ms).getUTCDay());
const iso = (ms: number) => new Date(ms).toISOString().slice(0, 10);
type Req = Record<string, unknown> & { rules: Record<string, unknown>[] };
function generateRequest(seed: number): Req {
const rnd = mulberry32(seed);
const int = (min: number, max: number) => min + Math.floor(rnd() * (max - min + 1));
const pick = <T>(items: readonly T[]): T => items[int(0, items.length - 1)];
const chance = (p: number) => rnd() < p;
const shuffle = <T>(items: T[]): T[] => {
for (let i = items.length - 1; i > 0; i--) {
const j = int(0, i);
[items[i], items[j]] = [items[j], items[i]];
}
return items;
};
const long = chance(0.1);
const mode = rnd();
let startMs = Date.UTC(2025, 0, 1) + int(0, 1094) * DAY;
if (mode < 0.15) startMs = Date.UTC(pick([2025, 2026]), 11, int(8, 31));
else if (mode < 0.3) {
const year = pick([2025, 2026, 2027]);
const holidays = [...frenchPublicHolidaysForYear(year)].filter((d) =>
weekday(Date.parse(d)),
);
startMs = Date.parse(pick(holidays)) - int(1, 10) * DAY;
}
const days = long ? int(29, 70) : int(7, 28);
const start = iso(startMs);
const date = (offset: number) => iso(startMs + offset * DAY);
const types = ['cp', 'rtt', 'other'] as const;
const balances = Array.from({ length: int(1, 3) }, (_, i) => ({
id: `b${i}`,
type: pick(types),
quantity: int(0, long ? 4 : 3),
...(chance(0.3) ? { availableFrom: date(int(1, days)) } : {}),
expiryDate: date(int(-3, days + 40)),
})).map((b) =>
b.availableFrom && b.availableFrom > b.expiryDate
? { ...b, expiryDate: b.availableFrom }
: b,
);
const declaredDays: { date: string; type: string }[] = [];
for (let n = int(0, 4); n > 0; n--) {
const ms = startMs + int(0, days) * DAY;
const d = iso(ms);
if (isWorkingPlanningDate(d) && !declaredDays.some((x) => x.date === d))
declaredDays.push({ date: d, type: pick(types) });
}
const selectors = ['cp', 'rtt', 'other', 'any'] as const;
const rules: Record<string, unknown>[] = [];
for (let n = long ? int(0, 1) : int(0, 2); n > 0; n--) {
const from = int(0, days - 1);
rules.push({
id: `tw${rules.length}`,
type: chance(0.5) ? 'time_window' : 'TIME_WINDOW',
force: pick(['obligation', 'preference']),
startDate: date(from),
endDate: date(from + int(0, 10)),
placeDays: int(1, 4),
placeType: pick(selectors),
});
}
for (let n = long && rules.length ? 0 : long ? int(0, 1) : int(0, 2); n > 0; n--) {
rules.push({
id: `it${rules.length}`,
type: chance(0.5) ? 'if_then' : 'IF_THEN',
force: pick(['obligation', 'preference']),
dayOfWeek: int(1, 5),
placeDays: int(1, 3),
placeType: pick(selectors),
placement: pick(['before', 'after', 'around', 'auto']),
rewardDays: int(0, 2),
rewardType: pick(types),
});
}
const presets: Record<string, unknown>[] = shuffle(
createOptimizationPresetRules() as unknown as Record<string, unknown>[],
).slice(0, long ? int(1, 4) : int(0, 3));
rules.push(...presets);
if (!long && chance(0.3)) {
const row = pick(OPTIMIZATION_CATALOG);
const conditions = (row.conditions as readonly string[]).filter(() => chance(0.5));
rules.push({
id: 'composed',
type: 'optimization',
force: 'preference',
configuration: {
elements: row.elements,
conditions,
measure: row.measure,
aggregation: pick(row.aggregations),
direction: pick(['minimize', 'maximize']),
...(row.measure === 'work-sequence-deficit' ? { thresholdDays: int(1, 8) } : {}),
},
});
}
for (const rule of shuffle(rules)) if (chance(0.08)) rule['enabled'] = false;
const request: Req = {
calculationDate: start,
horizon: { start, end: date(days) },
balances,
declaredDays,
rules,
};
if (chance(0.04)) {
const breakIt = int(0, 3);
if (breakIt === 0) balances[0].quantity = -1;
else if (breakIt === 1) request['horizon'] = { start: date(days), end: start };
else if (breakIt === 2) rules.push({ id: 'bad', type: 'unknown_type' });
else declaredDays.push({ date: start, type: 'nope' });
}
return request;
}
interface Run {
outcome: PlanningOutcome;
artifacts?: Pick<PlanningArtifacts, 'explanation' | 'finalState' | 'explanationError'>;
}
function run(
calculate: (
request: unknown,
c?: undefined,
a?: (artifacts: PlanningArtifacts) => void,
) => PlanningOutcome,
request: Req,
): Run {
let artifacts: Run['artifacts'];
const outcome = calculate(structuredClone(request), undefined, (a) => {
artifacts = {
explanation: a.explanation,
finalState: a.finalState,
explanationError: a.explanationError,
};
});
return { outcome, artifacts };
}
const kinds = new Map<string, number>();
const ruleTypes = new Set<string>();
const count = (key: string) => kinds.set(key, (kinds.get(key) ?? 0) + 1);
let slowest = { seed: 0, ms: 0 };
function crossesYearAndHoliday(request: Req): void {
const { start, end } = request['horizon'] as { start: string; end: string };
if (start.slice(0, 4) !== end.slice(0, 4)) count('crosses-year');
for (let ms = Date.parse(start); ms <= Date.parse(end); ms += DAY)
if (
weekday(ms) &&
frenchPublicHolidaysForYear(new Date(ms).getUTCFullYear()).has(iso(ms))
) {
count('holiday-week');
return;
}
}
function assertSameAsFrozen(seed: number): void {
const request = generateRequest(seed);
const t0 = performance.now();
const current = run(calculatePlanningInternal, request);
const frozen = run(frozenCalculate, request);
const ms = performance.now() - t0;
if (ms > slowest.ms) slowest = { seed, ms: Math.round(ms) };
crossesYearAndHoliday(request);
count(current.outcome.kind);
for (const rule of request.rules) ruleTypes.add(String(rule['type']).toLowerCase());
if ((request['declaredDays'] as unknown[]).length) count('declared');
if (request.rules.some((r) => r['rewardDays'])) count('reward');
try {
expect(current).toStrictEqual(frozen);
} catch (error) {
throw new Error(
`Engine differs from frozen engine. seed=${seed}\nrequest=${JSON.stringify(request)}\n${
(error as Error).message
}`,
{ cause: error },
);
}
}
const ONLY_SEED = process.env['FROZEN_ENGINE_SEED'];
describe('frozen engine differential check', () => {
if (ONLY_SEED) {
it(`matches the frozen engine for seed ${ONLY_SEED}`, () => {
assertSameAsFrozen(Number(ONLY_SEED));
});
return;
}
for (let from = 0; from < CASES; from += CHUNK) {
it(`matches the frozen engine for seeds ${BASE_SEED + from}..${BASE_SEED + from + CHUNK - 1}`, () => {
for (let i = from; i < from + CHUNK; i++) assertSameAsFrozen(BASE_SEED + i);
}, 120_000);
}
afterAll(() => {
console.info(
'frozen-engine coverage of generated cases',
Object.fromEntries(kinds),
[...ruleTypes],
'slowest case',
slowest,
);
});
it('generates every outcome kind and rule type', () => {
for (const kind of [
'Plan',
'PlanningConflict',
'InvalidInput',
'declared',
'reward',
'crosses-year',
'holiday-week',
])
expect(kinds.get(kind) ?? 0, kind).toBeGreaterThan(20);
expect(['if_then', 'optimization', 'time_window'].filter((t) => !ruleTypes.has(t))).toEqual(
[],
);
});
});
@@ -0,0 +1,7 @@
import type { PlanningArtifactsCallback, PlanningOutcome } from '../leave-planner.core';
export function calculatePlanningInternal(
request: unknown,
checkpointCallback?: undefined,
artifactsCallback?: PlanningArtifactsCallback,
): PlanningOutcome;
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import angular from '@analogjs/vite-plugin-angular';
import { defineConfig } from 'vite';
import { coverageConfigDefaults } from 'vitest/config';
// https://vitejs.dev/config/
export default defineConfig(({ mode }) => {
@@ -18,6 +19,7 @@ export default defineConfig(({ mode }) => {
coverage: {
provider: 'istanbul',
reporter: ['text', 'html', 'cobertura'],
exclude: [...coverageConfigDefaults.exclude, '**/frozen-engine/**'],
},
},
define: {