Add game-simulation package with multi-run balance testing, fix stalled-pipeline trap
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Adds a full simulation harness (game-simulation package) with greedy/random strategies,
36-metric diagnostics, multi-run orchestration via child processes, and a statistical
interpreter. Includes 2.3x engine performance optimizations (research bonus caching,
per-DC dirty tracking, reduced allocations in tick pipeline, single-pass loops).

Fixes a critical balance bug where training pipelines stalled on insufficient VRAM would
permanently block training slots — the engine never re-checked stalled pipelines, and the
greedy strategy didn't pre-check VRAM requirements. This caused 20-25% of seeds to get
stuck in Scale-up era. All three fixes (engine un-stalling, strategy VRAM pre-check,
stalled pipeline cancellation) bring pass rate from 75% to 100% across 20 random seeds.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-04-26 06:11:26 -04:00
parent 283c7c7932
commit 102e05c8ba
51 changed files with 4294 additions and 132 deletions
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import { exec } from 'node:child_process';
import { writeFileSync } from 'node:fs';
import { resolve as pathResolve, dirname } from 'node:path';
import { fileURLToPath } from 'node:url';
import { randomInt } from 'node:crypto';
import { cpus } from 'node:os';
import type { SimulationMetrics } from './strategies/types';
const __dirname = dirname(fileURLToPath(import.meta.url));
const args = process.argv.slice(2);
function getArg(name: string, defaultValue: string): string {
const idx = args.indexOf(`--${name}`);
return idx !== -1 && args[idx + 1] ? args[idx + 1] : defaultValue;
}
function hasFlag(name: string): boolean {
return args.includes(`--${name}`);
}
const totalRuns = parseInt(getArg('runs', '0'), 10);
const parallel = Math.min(totalRuns, parseInt(getArg('parallel', String(Math.max(1, cpus().length - 1))), 10));
const strategyName = getArg('strategy', 'greedy');
const totalTicks = parseInt(getArg('ticks', '28800'), 10);
const outDir = pathResolve(getArg('out', pathResolve(__dirname, '..')));
const baseSeedStr = getArg('seed', '');
const baseSeed = baseSeedStr ? parseInt(baseSeedStr, 10) : null;
const noTimeseries = hasFlag('no-timeseries');
if (totalRuns <= 0) {
console.error('Usage: multirun --runs <N> [--parallel <P>] [--strategy <name>] [--ticks <N>] [--out <dir>] [--seed <N>] [--no-timeseries]');
process.exit(1);
}
function deriveSeeds(count: number, base: number | null): number[] {
if (base === null) {
return Array.from({ length: count }, () => randomInt(1, 2_147_483_647));
}
// Deterministic derivation from base seed
const seeds: number[] = [];
for (let i = 0; i < count; i++) {
let h = (base + i * 0x9E3779B9) | 0;
h = Math.imul(h ^ (h >>> 16), 0x45D9F3B);
h = Math.imul(h ^ (h >>> 13), 0x45D9F3B);
h = (h ^ (h >>> 16)) >>> 0;
seeds.push(h || 1);
}
return seeds;
}
interface WorkerResult {
runId: number;
seed: number;
passed: boolean;
failureReasons: string[];
wallTimeMs: number;
eraTransitions: Array<{ from: string; to: string; tick: number; wallTime: string }>;
finalMetrics: SimulationMetrics | null;
featureUtilization: {
coverageByCategory: Record<string, { used: number; available: number; percent: number }>;
unusedFeatures: string[];
revenueStreamDiversity: number;
};
systemInterconnections: {
connections: Array<{ from: string; to: string; score: number; evidence: string; events: number }>;
overallScore: number;
};
cashFlow: { bankruptcyRisks: number };
sanityChecks: { passed: boolean; errorCount: number };
metrics: SimulationMetrics[];
}
function spawnWorker(runId: number, seed: number): Promise<WorkerResult> {
return new Promise((resolve, reject) => {
const workerPath = new URL('./worker.ts', import.meta.url).pathname.replace(/^\/([A-Z]:)/, '$1');
const cmd = `npx tsx "${workerPath}" --strategy ${strategyName} --ticks ${totalTicks} --seed ${seed} --run-id ${runId}`;
exec(cmd, { maxBuffer: 200 * 1024 * 1024 }, (error, stdout, stderr) => {
if (stderr) process.stderr.write(stderr);
if (error) {
reject(new Error(`Run #${runId} (seed ${seed}) failed: ${error.message}`));
return;
}
try {
const result = JSON.parse(stdout) as WorkerResult;
resolve(result);
} catch (e) {
reject(new Error(`Run #${runId} (seed ${seed}) produced invalid JSON: ${(e as Error).message}`));
}
});
});
}
function buildSummaryCsv(results: WorkerResult[]): string {
const interconnectionKeys = results[0]?.systemInterconnections.connections.map(
c => `interconnection_${c.from}_${c.to}`.replace(/\s+/g, ''),
) ?? [];
const headers = [
'runId', 'seed', 'passed', 'wallTimeMs',
'finalEra', 'finalMoney', 'finalRevenue', 'finalTotalRevenue',
'finalCapability', 'finalReputation', 'finalSubscribers', 'finalDevelopers',
'finalHeadcount', 'finalResearchCount', 'finalModelsDeployed',
'revenueStreamDiversity',
'featureUtilization_research', 'featureUtilization_infrastructure',
'featureUtilization_revenue', 'featureUtilization_talent',
'featureUtilization_model', 'featureUtilization_funding',
'interconnection_overall',
...interconnectionKeys,
'eraTransition_scaleup', 'eraTransition_bigtech', 'eraTransition_agi',
'bankruptcyRisks', 'sanityErrors', 'failureReasons',
];
const rows = results.map(r => {
const fm = r.finalMetrics;
const fu = r.featureUtilization;
const ic = r.systemInterconnections;
const eraMap: Record<string, number | ''> = {
scaleup: '', bigtech: '', agi: '',
};
for (const t of r.eraTransitions) {
if (t.to === 'scaleup') eraMap.scaleup = t.tick;
if (t.to === 'bigtech') eraMap.bigtech = t.tick;
if (t.to === 'agi') eraMap.agi = t.tick;
}
const icScores = ic.connections.map(c => c.score);
return [
r.runId, r.seed, r.passed ? 1 : 0, r.wallTimeMs,
fm?.era ?? '', fm?.money ?? '', fm?.revenue ?? '', fm?.totalRevenue ?? '',
fm?.bestModelCapability ?? '', fm?.reputation ?? '', fm?.subscribers ?? '', fm?.developers ?? '',
fm?.headcount ?? '', fm?.researchCount ?? '', fm?.modelsDeployed ?? '',
fu.revenueStreamDiversity,
fu.coverageByCategory['research']?.percent ?? '',
fu.coverageByCategory['infrastructure']?.percent ?? '',
fu.coverageByCategory['revenue']?.percent ?? '',
fu.coverageByCategory['talent']?.percent ?? '',
fu.coverageByCategory['model']?.percent ?? '',
fu.coverageByCategory['funding']?.percent ?? '',
ic.overallScore,
...icScores,
eraMap.scaleup, eraMap.bigtech, eraMap.agi,
r.cashFlow.bankruptcyRisks,
r.sanityChecks.errorCount,
`"${r.failureReasons.join('; ').replace(/"/g, '""')}"`,
].join(',');
});
return [headers.join(','), ...rows].join('\n');
}
function buildTimeseriesCsv(results: WorkerResult[]): string {
if (results.length === 0 || results[0].metrics.length === 0) return '';
const sampleKeys = Object.keys(results[0].metrics[0]).filter(k => k !== 'completedResearchIds') as (keyof SimulationMetrics)[];
const headers = ['runId', 'seed', ...sampleKeys];
const rows: string[] = [];
for (const r of results) {
for (const m of r.metrics) {
const values = sampleKeys.map(k => {
const v = m[k];
return typeof v === 'number' ? v : String(v);
});
rows.push([r.runId, r.seed, ...values].join(','));
}
}
return [headers.join(','), ...rows].join('\n');
}
async function main() {
const seeds = deriveSeeds(totalRuns, baseSeed);
const startTime = Date.now();
console.log(`=== Multi-Run Simulation ===`);
console.log(`Runs: ${totalRuns} | Parallel: ${parallel} | Strategy: ${strategyName} | Ticks: ${totalTicks.toLocaleString()}`);
console.log(`Seeds: [${seeds.join(', ')}]`);
if (baseSeed !== null) console.log(`Base seed: ${baseSeed} (deterministic)`);
console.log('');
const results: WorkerResult[] = [];
let completed = 0;
const pending = seeds.map((seed, i) => ({ runId: i + 1, seed }));
const active = new Set<Promise<void>>();
async function runOne(runId: number, seed: number): Promise<void> {
try {
const result = await spawnWorker(runId, seed);
results.push(result);
completed++;
const status = result.passed ? 'PASSED' : 'FAILED';
const reasons = !result.passed && result.failureReasons.length > 0
? ` [${result.failureReasons.join('; ')}]`
: '';
console.log(`[${completed}/${totalRuns}] Run #${runId} (seed ${seed}) completed in ${(result.wallTimeMs / 1000).toFixed(1)}s — ${status}${reasons}`);
} catch (e) {
completed++;
console.error(`[${completed}/${totalRuns}] Run #${runId} (seed ${seed}) ERROR: ${(e as Error).message}`);
}
}
for (const job of pending) {
if (active.size >= parallel) {
await Promise.race(active);
}
const p = runOne(job.runId, job.seed).then(() => { active.delete(p); });
active.add(p);
}
await Promise.all(active);
results.sort((a, b) => a.runId - b.runId);
const totalTime = ((Date.now() - startTime) / 1000).toFixed(1);
const passCount = results.filter(r => r.passed).length;
console.log('');
console.log(`=== Complete ===`);
console.log(`${passCount}/${results.length} passed | Total wall time: ${totalTime}s`);
const summaryCsv = buildSummaryCsv(results);
const summaryPath = pathResolve(outDir, 'multirun-summary.csv');
writeFileSync(summaryPath, summaryCsv);
console.log(`Summary CSV: ${summaryPath}`);
if (!noTimeseries) {
const tsCsv = buildTimeseriesCsv(results);
const tsPath = pathResolve(outDir, 'multirun-timeseries.csv');
writeFileSync(tsPath, tsCsv);
console.log(`Time-series CSV: ${tsPath}`);
}
const failedSeeds = results.filter(r => !r.passed).map(r => r.seed);
if (failedSeeds.length > 0) {
console.log(`\nFailed seeds (for reproduction): ${failedSeeds.join(', ')}`);
}
}
main().catch(e => {
console.error(e);
process.exit(1);
});