josh
102e05c8ba
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>
77 lines
2.8 KiB
TypeScript
77 lines
2.8 KiB
TypeScript
import { runSimulation } from './runner';
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import { GreedyStrategy } from './strategies/greedy';
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import { RandomStrategy } from './strategies/random';
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import { printConsoleReport, generateJsonReport } from './analysis/report';
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import { writeFileSync } from 'node:fs';
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import { resolve, dirname } from 'node:path';
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import { fileURLToPath } from 'node:url';
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import type { SimulationMetrics } from './strategies/types';
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const args = process.argv.slice(2);
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function getArg(name: string, defaultValue: string): string {
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const idx = args.indexOf(`--${name}`);
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return idx !== -1 && args[idx + 1] ? args[idx + 1] : defaultValue;
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}
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function hasFlag(name: string): boolean {
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return args.includes(`--${name}`);
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}
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const strategyName = getArg('strategy', 'greedy');
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const totalTicks = parseInt(getArg('ticks', '28800'), 10);
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const decisionInterval = parseInt(getArg('interval', '60'), 10);
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const seedStr = getArg('seed', '');
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const seed = seedStr ? parseInt(seedStr, 10) : undefined;
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const jsonOutput = hasFlag('json');
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const verbose = hasFlag('verbose');
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const csvOutput = hasFlag('csv');
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const strategy = strategyName === 'random' ? new RandomStrategy() : new GreedyStrategy();
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console.log(`Running ${strategyName} simulation: ${totalTicks.toLocaleString()} ticks, interval ${decisionInterval}${seed !== undefined ? `, seed ${seed}` : ''}...`);
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const result = runSimulation({ totalTicks, decisionInterval, strategy, seed, verbose });
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const __dirname = dirname(fileURLToPath(import.meta.url));
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if (csvOutput) {
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const allMetrics = result.metrics;
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if (allMetrics.length > 0) {
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const scalarKeys = Object.keys(allMetrics[0]).filter(k => k !== 'completedResearchIds') as (keyof SimulationMetrics)[];
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const headers = scalarKeys.join(',');
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const rows = allMetrics.map(m =>
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scalarKeys.map(k => {
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const v = m[k];
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return typeof v === 'number' ? v : String(v);
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}).join(','),
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);
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const csv = [headers, ...rows].join('\n');
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const csvPath = resolve(__dirname, '..', 'balance-metrics.csv');
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writeFileSync(csvPath, csv);
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console.log(`Metrics CSV written to ${csvPath}`);
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}
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}
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if (jsonOutput) {
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const report = generateJsonReport(result, { totalTicks, decisionInterval, strategy, seed });
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const outPath = resolve(__dirname, '..', 'balance-report.json');
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writeFileSync(outPath, JSON.stringify(report, null, 2));
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console.log(`Report written to ${outPath}`);
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printConsoleReport(result, { totalTicks, decisionInterval, strategy, seed }, verbose);
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if (!report.passed) {
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console.log('FAILED:');
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for (const reason of report.failureReasons) {
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console.log(` - ${reason}`);
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}
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process.exit(1);
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} else {
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console.log('PASSED: All balance checks within thresholds.');
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}
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} else {
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printConsoleReport(result, { totalTicks, decisionInterval, strategy, seed }, verbose);
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}
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