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import { randomUUID } from "node:crypto";
import fs from "node:fs";
import net from "node:net";
import os from "node:os";
import path from "node:path";
import { fileURLToPath } from "node:url";
import { INPUT_LIMITS, TEST_RUN_ID_PATTERN } from "@shared/input-limits";
import {
CALIBRATION_POLICY_VERSION,
planActiveCandidates,
measurementQueueTimeoutMs,
planBracketRefinement,
planDownwardRefinement,
recommendDockerControlTimeout,
recommendQueueTimeout,
recommendSandboxStartSlotTimeout,
scoreCalibrationConfidence,
selectActiveRecommendation,
selectStartupRecommendation,
validateCalibrationOptions,
type ActiveMeasurement,
type CalibrationOptions,
type Recommendation,
type StartupMeasurement,
} from "./capacity-calibration-policy";
import {
collectDockerProbe,
collectHostProbe,
measureDockerControlLatency,
type ControlLatencySample,
type DockerProbe,
type HostProbe,
} from "./capacity-calibration-host";
import {
countClientOutcomes,
runCapacityScenario,
CapacityScenarioConfigurationError,
validateScenarioRuntimeConfiguration,
type CapacityScenarioMeasurement,
type CapacityScenarioOptions,
type CleanupResult,
type EffectiveCapacityConfiguration,
} from "./capacity-scenario-runner";
import { writeCalibrationArtifacts } from "./capacity-calibration-report";
const DEFAULT_IMAGE = "unosim-sandbox:latest";
const DOCKER_CONTROL_DEFAULT_MS = 2_000;
const DOCKER_CONTROL_RANGE = { min: 100, max: 30_000 };
const SANDBOX_START_SLOT_DEFAULT_MS = 30_000;
const SANDBOX_START_SLOT_RANGE = { min: 1_000, max: 900_000 };
const FIXED_CLASSROOM_DURATION_SEC = 60 as const;
// The owned backend runs server/index.ts with NODE_ENV=test, which serves the built client via serveStatic().
const BUILT_CLIENT_INDEX = fileURLToPath(new URL("../dist/public/index.html", import.meta.url));
export type SafetyEvent = {
atMs: number;
phase: "preflight" | "control" | "active" | "startup" | "classroom" | "cleanup";
kind: "cpu" | "memory" | "iowait" | "oom" | "docker" | "backend" | "configuration" | "deadline" | "cleanup";
message: string;
immediate: boolean;
};
export type CalibrationCliConfig = CalibrationOptions & {
outputDir: string;
skipClassroom: boolean;
skipStartupTuning: boolean;
dryRun: boolean;
verbose: boolean;
};
export type ClassroomMeasurement = CapacityScenarioMeasurement & {
requested: number;
admitted: number;
started: number;
successful: number;
rejected: number;
incomplete: number;
queueP50Ms: number | null;
queueP95Ms: number | null;
queueP99Ms: number | null;
queueMaxMs: number | null;
startupSlotWaitP50Ms: number | null;
startupSlotWaitP95Ms: number | null;
startupSlotWaitP99Ms: number | null;
startupSlotWaitMaxMs: number | null;
authoritativeSandboxStartWaitSamplesExpected?: number;
authoritativeSandboxStartWaitSamplesComplete?: boolean;
completed: number;
failed: number;
fairness: { starvation: boolean; reorderPercentage: number | null; outliers: number };
};
export type CalibrationRecommendations = {
simulationMaxConcurrent: Recommendation<number>;
sandboxStartMaxConcurrent: Recommendation<number>;
simulationAdmissionMax: Recommendation<number>;
simulationQueueTimeoutMs: Recommendation<number>;
sandboxStartSlotTimeoutMs: Recommendation<number>;
dockerControlTimeoutMs: Recommendation<number>;
compileMaxConcurrent: Recommendation<number>;
};
export type CalibrationRunResult = {
schemaVersion: 1;
policyVersion: string;
policy: CalibrationOptions;
fingerprint: { gitSha: string; gitDirty: boolean; host: HostProbe; docker: DockerProbe; effectiveCapacity: EffectiveCapacityConfiguration; measurementQueueTimeoutMs: number };
plan: { activeCandidates: number[]; startupCandidates: number[]; classroomDurationSec: 60 };
phases: { dockerControl: ControlLatencySample[]; active: ActiveMeasurement[]; startup: StartupMeasurement[]; classroom: ClassroomMeasurement | null };
recommendations: CalibrationRecommendations;
safetyEvents: SafetyEvent[];
partial: boolean;
stopReason: string | null;
cleanup: CleanupResult;
};
export type CalibrationDependencies = {
now?: () => number;
collectHostProbe?: () => Promise<HostProbe>;
collectDockerProbe?: (image: string) => Promise<DockerProbe>;
measureDockerControlLatency?: (image: string, parallelism: number, samples: number) => Promise<ControlLatencySample[]>;
runScenario?: (options: CapacityScenarioOptions) => Promise<CapacityScenarioMeasurement>;
startBackend?: (capacity: EffectiveCapacityConfiguration, runId: string) => Promise<{ baseUrl: string; stop: () => Promise<void> }>;
ownedContainerCount?: (runId: string, includeStopped?: boolean) => number;
verifyBuildArtifacts?: () => void;
};
/** Fails early when the built client that the owned backend serves is missing. */
export function assertCalibrationBuildArtifacts(indexPath: string = BUILT_CLIENT_INDEX): void {
if (fs.existsSync(indexPath)) return;
throw new Error(`Capacity calibration requires a built application (${indexPath} not found); run npm run build.`);
}
/** Creates a calibration run ID that satisfies the central test-run-ID pattern and length limit. */
export function createCalibrationRunId(now: () => number = Date.now, uuid: () => string = randomUUID): string {
const runId = `cap_${now()}_${uuid()}`;
if (!TEST_RUN_ID_PATTERN.test(runId)) {
throw new Error(`Calibration run ID must match ${TEST_RUN_ID_PATTERN} (max ${INPUT_LIMITS.webSocket.maxTestRunIdChars} characters)`);
}
return runId;
}
function timestampOutputDir(): string {
return path.join("capacity-test-results", `calibration-${new Date().toISOString().replaceAll(":", "-").replaceAll(".", "-")}`);
}
function parseNumber(value: string, name: string): number {
const parsed = Number(value);
Iif (!Number.isFinite(parsed)) throw new Error(`${name} must be a finite number`);
return parsed;
}
function requireValue(argv: string[], index: number, option: string): string {
const value = argv[index + 1];
if (value === undefined || value.startsWith("--")) throw new Error(`${option} requires a value`);
return value;
}
export async function parseCalibrationArgs(argv: string[]): Promise<CalibrationCliConfig> {
const values: Partial<CalibrationOptions> = {};
let outputDir = timestampOutputDir();
let skipClassroom = false;
let skipStartupTuning = false;
let dryRun = false;
let verbose = false;
let index = 0;
while (index < argv.length) {
const argument = argv[index];
switch (argument) {
case "--expected-users": values.expectedUsers = parseNumber(requireValue(argv, index, argument), "expectedUsers"); index += 2; continue;
case "--target-cpu": values.targetCpuPercent = parseNumber(requireValue(argv, index, argument), "targetCpuPercent"); index += 2; continue;
case "--max-cpu": values.maxCpuPercent = parseNumber(requireValue(argv, index, argument), "maxCpuPercent"); index += 2; continue;
case "--max-user-wait": values.maxUserWaitSec = parseNumber(requireValue(argv, index, argument), "maxUserWaitSec"); index += 2; continue;
case "--max-duration": values.maxDurationMin = parseNumber(requireValue(argv, index, argument), "maxDurationMin"); index += 2; continue;
case "--output-dir": outputDir = requireValue(argv, index, argument); index += 2; continue;
case "--skip-classroom": skipClassroom = true; break;
case "--skip-startup-tuning": skipStartupTuning = true; break;
case "--dry-run": dryRun = true; break;
case "--verbose": verbose = true; break;
default: throw new Error(`Unknown option: ${argument}`);
}
index += 1;
}
return {
...validateCalibrationOptions(values),
outputDir,
skipClassroom,
skipStartupTuning,
dryRun,
verbose,
};
}
function integerEnv(name: string, fallback: number): number {
const value = Number(process.env[name]);
return Number.isInteger(value) && value > 0 ? value : fallback;
}
function currentCapacityConfiguration(): EffectiveCapacityConfiguration {
const logicalCpus = os.cpus().length;
return {
simulationMaxConcurrent: integerEnv("SIMULATION_MAX_CONCURRENT", 5),
sandboxStartMaxConcurrent: integerEnv("SANDBOX_START_MAX_CONCURRENT", 8),
simulationAdmissionMax: integerEnv("SIMULATION_ADMISSION_MAX", 25),
simulationQueueTimeoutMs: integerEnv("SIMULATION_QUEUE_TIMEOUT_MS", 60_000),
sandboxStartSlotTimeoutMs: integerEnv("SANDBOX_START_SLOT_TIMEOUT_MS", SANDBOX_START_SLOT_DEFAULT_MS),
dockerControlTimeoutMs: integerEnv("DOCKER_CONTROL_TIMEOUT_MS", DOCKER_CONTROL_DEFAULT_MS),
compileMaxConcurrent: integerEnv("COMPILE_MAX_CONCURRENT", Math.max(1, logicalCpus - 1)),
};
}
function percentile(values: number[], percent: number): number | null {
if (values.length === 0) return null;
const sorted = [...values].sort((left, right) => left - right);
return sorted[Math.max(0, Math.ceil(sorted.length * percent / 100) - 1)] ?? null;
}
function minValue(values: number[]): number | null {
return values.length > 0 ? Math.min(...values) : null;
}
function maxValue(values: number[]): number | null {
return values.length > 0 ? Math.max(...values) : null;
}
function activeMeasurement(requested: number, measurement: CapacityScenarioMeasurement): ActiveMeasurement {
const cpu = measurement.hostSamples.flatMap((sample) => sample.cpuPercent === null ? [] : [sample.cpuPercent]);
const memory = measurement.hostSamples.flatMap((sample) => sample.availableMemoryBytes === null ? [] : [sample.availableMemoryBytes]);
return {
requested,
stable: measurement.errors.length === 0 && measurement.cleanup.remainingCapacityContainers === 0,
cpuP95Percent: percentile(cpu, 95),
cpuMaxPercent: maxValue(cpu),
minAvailableMemoryBytes: minValue(memory),
lifecycleDockerPeak: measurement.lifecycleDockerPeak,
pollingDockerPeak: measurement.pollingDockerPeak,
errors: [...measurement.errors],
elapsedMs: 0,
};
}
function startupMeasurement(requested: number, measurement: CapacityScenarioMeasurement): StartupMeasurement {
const cpu = measurement.hostSamples.flatMap((sample) => sample.cpuPercent === null ? [] : [sample.cpuPercent]);
const iowait = measurement.hostSamples.flatMap((sample) => sample.iowaitPercent === null ? [] : [sample.iowaitPercent]);
const memory = measurement.hostSamples.flatMap((sample) => sample.availableMemoryBytes === null ? [] : [sample.availableMemoryBytes]);
const failed = measurement.clients.filter((client) => !client.started || client.errors.length > 0).length;
const timeouts = measurement.clients.filter((client) => client.operationErrorCodes.some((code) => code.includes("TIMEOUT"))).length;
const startupSamplesComplete = measurement.authoritativeSandboxStartWaitSamplesComplete === true;
return {
requested,
stable: measurement.errors.length === 0 && measurement.cleanup.remainingCapacityContainers === 0 && startupSamplesComplete,
startupSlotWaitP95Ms: percentile(measurement.startupSlotWaitMs, 95),
startupSlotWaitMaxMs: maxValue(measurement.startupSlotWaitMs),
startupDurationP95Ms: percentile(measurement.startupDurationMs, 95),
cpuP95Percent: percentile(cpu, 95),
iowaitP95Percent: percentile(iowait, 95),
minAvailableMemoryBytes: minValue(memory),
failures: failed,
timeouts,
startupSlotWaitSamplesComplete: startupSamplesComplete,
startupSlotWaitSampleCount: measurement.authoritativeSandboxStartWaitSamplesMs?.length ?? measurement.startupSlotWaitMs.length,
};
}
export function getClassroomOutcomeCounts(measurementClients: CapacityScenarioMeasurement["clients"]): {
requested: number;
started: number;
successful: number;
rejected: number;
failed: number;
incomplete: number;
} {
const outcomes = countClientOutcomes(measurementClients);
return outcomes;
}
function classroomMeasurement(measurement: CapacityScenarioMeasurement): ClassroomMeasurement {
const starts = measurement.clients
.filter((client) => client.runtimeStartedAtMs !== null)
.sort((left, right) => (left.runtimeStartedAtMs ?? Infinity) - (right.runtimeStartedAtMs ?? Infinity));
let inversions = 0;
for (let left = 0; left < starts.length; left++) {
for (let right = left + 1; right < starts.length; right++) {
if (starts[left].clientId > starts[right].clientId) inversions++;
}
}
const pairs = starts.length * Math.max(0, starts.length - 1) / 2;
const outcomes = getClassroomOutcomeCounts(measurement.clients);
const authoritativeSamples = measurement.authoritativeSandboxStartWaitSamplesMs ?? [];
const expectedAuthoritativeSamples = measurement.clients.filter((client) => client.started || client.startupBeganAtMs !== null).length;
const authoritativeSamplesComplete = measurement.authoritativeSandboxStartWaitSamplesComplete === true
&& authoritativeSamples.length === expectedAuthoritativeSamples
&& expectedAuthoritativeSamples > 0;
return {
...measurement,
requested: outcomes.requested,
admitted: measurement.admissionPeak,
started: outcomes.started,
successful: outcomes.successful,
rejected: outcomes.rejected,
incomplete: outcomes.incomplete,
queueP50Ms: percentile(measurement.queueWaitMs, 50),
queueP95Ms: percentile(measurement.queueWaitMs, 95),
queueP99Ms: percentile(measurement.queueWaitMs, 99),
queueMaxMs: maxValue(measurement.queueWaitMs),
startupSlotWaitP50Ms: percentile(measurement.startupSlotWaitMs, 50),
startupSlotWaitP95Ms: percentile(measurement.startupSlotWaitMs, 95),
startupSlotWaitP99Ms: percentile(measurement.startupSlotWaitMs, 99),
startupSlotWaitMaxMs: maxValue(measurement.startupSlotWaitMs),
authoritativeSandboxStartWaitSamplesExpected: expectedAuthoritativeSamples,
authoritativeSandboxStartWaitSamplesComplete: authoritativeSamplesComplete,
completed: outcomes.successful,
failed: outcomes.failed,
fairness: {
starvation: outcomes.successful < measurement.clients.length,
reorderPercentage: pairs > 0 ? inversions / pairs * 100 : null,
outliers: 0,
},
};
}
function notCalibrated<T>(): Recommendation<T> {
return { value: null, status: "not-calibrated", confidence: "LOW", measuredBasis: [], warnings: [] };
}
async function findFreePort(): Promise<number> {
return new Promise((resolve, reject) => {
const server = net.createServer();
server.once("error", reject);
server.listen(0, "127.0.0.1", () => {
const address = server.address();
if (!address || typeof address === "string") { server.close(); reject(new Error("Could not allocate a loopback port")); return; }
server.close((error) => error ? reject(error) : resolve(address.port));
});
});
}
function stopProcess(child: ChildProcess): Promise<void> {
return new Promise((resolve) => {
if (child.exitCode !== null) { resolve(); return; }
const timer = setTimeout(() => { child.kill("SIGKILL"); resolve(); }, 5_000);
child.once("close", () => { clearTimeout(timer); resolve(); });
child.kill("SIGTERM");
});
}
function ownedContainerCount(runId: string): number {
return execFileSync("docker", ["ps", "-aq", "--filter", `label=unosim.capacity-test-run-id=${runId}`], { encoding: "utf8" })
.trim().split("\n").filter(Boolean).length;
}
async function defaultStartBackend(capacity: EffectiveCapacityConfiguration, runId: string): Promise<{ baseUrl: string; stop: () => Promise<void> }> {
const port = await findFreePort();
const baseUrl = `http://127.0.0.1:${port}`;
const child = spawn("./node_modules/.bin/tsx", ["server/index.ts"], {
cwd: process.cwd(),
env: {
...process.env,
NODE_ENV: "test",
UNOSIM_SERVER_MODE: "docker",
UNOSIM_DOCKER_TEST_BYPASS_GATEWAY: "1",
DISABLE_RATE_LIMIT: "1",
PORT: String(port),
UNOSIM_LISTEN_HOST: "127.0.0.1",
SIMULATION_MAX_CONCURRENT: String(capacity.simulationMaxConcurrent),
SANDBOX_START_MAX_CONCURRENT: String(capacity.sandboxStartMaxConcurrent),
SIMULATION_ADMISSION_MAX: String(capacity.simulationAdmissionMax),
SIMULATION_QUEUE_TIMEOUT_MS: String(capacity.simulationQueueTimeoutMs),
SANDBOX_START_SLOT_TIMEOUT_MS: String(capacity.sandboxStartSlotTimeoutMs),
DOCKER_CONTROL_TIMEOUT_MS: String(capacity.dockerControlTimeoutMs),
DOCKER_SANDBOX_IMAGE: process.env.DOCKER_SANDBOX_IMAGE ?? DEFAULT_IMAGE,
CAPACITY_TEST_RUN_ID: runId,
LOG_LEVEL: process.env.LOG_LEVEL ?? "warn",
},
stdio: ["ignore", "pipe", "pipe"],
});
let startupOutput = "";
child.stdout?.on("data", (chunk: Buffer | string) => { startupOutput += chunk.toString(); });
child.stderr?.on("data", (chunk: Buffer | string) => { startupOutput += chunk.toString(); });
const deadline = Date.now() + 180_000;
while (Date.now() < deadline) {
if (child.exitCode !== null) {
const details = startupOutput.trim();
const suffix = details ? `: ${details}` : "";
throw new Error(`Owned calibration backend exited during startup${suffix}`);
}
try {
const response = await fetch(`${baseUrl}/api/readiness`);
if (response.ok) {
const body = await response.json() as { status?: string };
if (body.status === "ready") {
return {
baseUrl,
stop: async () => {
await stopProcess(child);
const ownedIds = execFileSync("docker", ["ps", "-aq", "--filter", `label=unosim.capacity-test-run-id=${runId}`], { encoding: "utf8" })
.trim().split("\n").filter(Boolean);
for (const id of ownedIds) execFileSync("docker", ["rm", "-f", id], { stdio: "ignore" });
},
};
}
}
} catch {
// Continue polling while the server boots.
}
await new Promise((resolve) => setTimeout(resolve, 500));
}
await stopProcess(child);
const suffix = startupOutput.trim() ? `: ${startupOutput.trim()}` : "";
throw new Error(`Owned calibration backend did not become ready${suffix}`);
}
export function effectiveCapacityForPhase(
base: EffectiveCapacityConfiguration,
active: number,
startup: number,
admission = Math.max(base.simulationAdmissionMax, active),
simulationQueueTimeout = base.simulationQueueTimeoutMs,
): EffectiveCapacityConfiguration {
return {
...base,
simulationMaxConcurrent: active,
sandboxStartMaxConcurrent: startup,
simulationAdmissionMax: admission,
simulationQueueTimeoutMs: simulationQueueTimeout,
};
}
function configurationErrorFor(error: unknown): boolean {
return error instanceof CapacityScenarioConfigurationError
|| (error instanceof Error && (error as Error & { code?: string }).code === "CAPACITY_SCENARIO_CONFIGURATION");
}
function safetyEventsForMeasurement(
phase: SafetyEvent["phase"],
measurement: CapacityScenarioMeasurement,
maxCpu: number,
minimumMemory: number,
now: () => number,
): SafetyEvent[] {
const events: SafetyEvent[] = [];
const cpu = measurement.hostSamples.flatMap((sample) => sample.cpuPercent === null ? [] : [sample.cpuPercent]);
if (cpu.some((value) => value >= maxCpu)) {
events.push({ atMs: now(), phase, kind: "cpu", message: `CPU reached the hard calibration ceiling (${maxCpu}%)`, immediate: false });
}
const memory = measurement.hostSamples.flatMap((sample) => sample.availableMemoryBytes === null ? [] : [sample.availableMemoryBytes]);
Iif (memory.some((value) => value < minimumMemory)) {
events.push({ atMs: now(), phase, kind: "memory", message: "Available memory crossed the calibration safety floor", immediate: true });
}
return events;
}
function emptyCleanup(): CleanupResult {
return {
backendExited: false,
remainingCapacityContainers: 0,
activeSimulationCount: null,
queueWaiting: null,
admissionCurrent: null,
sandboxStartActive: null,
sandboxStartWaiting: null,
};
}
function unavailableHostProbe(): HostProbe {
return {
required: { gitSha: "unknown", gitDirty: true, nodeVersion: process.version, architecture: process.arch, logicalCpus: 0 },
optional: { physicalMemoryBytes: null, loadAverage: null, availableMemoryBytes: null, swapUsedBytes: null, iowaitPercent: null, thermalPressure: null },
safetySignals: { cpuAvailable: false, memoryAvailable: false },
};
}
function unavailableDockerProbe(image: string): DockerProbe {
return {
clientVersion: "unknown",
serverVersion: "unknown",
architecture: "unknown",
cpus: 0,
memoryBytes: 0,
storageDriver: "unknown",
daemonHealthy: false,
image: { reference: image, id: "unknown", digest: null },
runningContainers: [],
};
}
function failedCalibrationResult(config: CalibrationCliConfig, host: HostProbe, docker: DockerProbe, message: string): CalibrationRunResult {
const notMeasured = notCalibrated<number>();
const baseCapacity = currentCapacityConfiguration();
return {
schemaVersion: 1,
policyVersion: CALIBRATION_POLICY_VERSION,
policy: config,
fingerprint: {
gitSha: host.required.gitSha,
gitDirty: host.required.gitDirty,
host,
docker,
effectiveCapacity: baseCapacity,
measurementQueueTimeoutMs: measurementQueueTimeoutMs(baseCapacity.simulationQueueTimeoutMs, config.maxUserWaitSec, FIXED_CLASSROOM_DURATION_SEC),
},
plan: { activeCandidates: host.required.logicalCpus > 0 ? planActiveCandidates(config, host.required.logicalCpus) : [], startupCandidates: [], classroomDurationSec: FIXED_CLASSROOM_DURATION_SEC },
phases: { dockerControl: [], active: [], startup: [], classroom: null },
recommendations: {
simulationMaxConcurrent: notMeasured,
sandboxStartMaxConcurrent: notMeasured,
simulationAdmissionMax: notMeasured,
simulationQueueTimeoutMs: notMeasured,
sandboxStartSlotTimeoutMs: notMeasured,
dockerControlTimeoutMs: notMeasured,
compileMaxConcurrent: notMeasured,
},
safetyEvents: [{ atMs: Date.now(), phase: "preflight", kind: docker.daemonHealthy ? "backend" : "docker", message, immediate: true }],
partial: true,
stopReason: message,
cleanup: emptyCleanup(),
};
}
type CalibrationPhaseContext = {
config: CalibrationCliConfig;
baseCapacity: EffectiveCapacityConfiguration;
classroomQueueTimeoutMs: number;
deadline: number;
now: () => number;
image: string;
host: HostProbe;
minimumMemory: number;
activeCandidates: number[];
startupCandidates: number[];
measureControl: NonNullable<CalibrationDependencies["measureDockerControlLatency"]>;
runScenario: (options: CapacityScenarioOptions) => Promise<CapacityScenarioMeasurement>;
startBackend: NonNullable<CalibrationDependencies["startBackend"]>;
countOwnedContainers: (runId: string, includeStopped?: boolean) => number;
safetyEvents: SafetyEvent[];
lastCleanup: CleanupResult;
};
type PhaseRunResult = {
phases: CalibrationRunResult["phases"];
partial: boolean;
stopReason: string | null;
cleanup: CleanupResult;
startupSlotWaitP99Ms: number | null;
startupSlotWaitMaxMs: number | null;
};
async function measureCalibrationCandidate(context: CalibrationPhaseContext, phase: SafetyEvent["phase"], active: number, startup: number, scenario: "burst" | "classroom" = "burst"): Promise<CapacityScenarioMeasurement> {
Iif (context.now() >= context.deadline) throw new Error("calibration deadline reached");
const runId = createCalibrationRunId();
const classroom = scenario === "classroom";
const clientCount = classroom ? context.config.expectedUsers : active;
const admission = classroom ? context.config.expectedUsers : Math.max(context.baseCapacity.simulationAdmissionMax, clientCount);
const queueTimeout = classroom ? context.classroomQueueTimeoutMs : context.baseCapacity.simulationQueueTimeoutMs;
const backend = await context.startBackend(effectiveCapacityForPhase(context.baseCapacity, active, startup, admission, queueTimeout), runId);
let measurement: CapacityScenarioMeasurement;
try {
measurement = await context.runScenario({
baseUrl: backend.baseUrl,
runId,
scenario,
clientCount,
holdDurationMs: classroom ? FIXED_CLASSROOM_DURATION_SEC * 1_000 : 25_000,
simulationTimeoutSec: 180,
arrivalWindowMs: classroom ? 5_000 : undefined,
outputDir: context.config.outputDir,
expectedSimulationMaxConcurrent: active,
expectedSandboxStartMaxConcurrent: startup,
requiredAdmissionMax: admission,
expectedSimulationQueueTimeoutMs: classroom ? context.classroomQueueTimeoutMs : undefined,
});
validateScenarioRuntimeConfiguration({
expectedSimulationMaxConcurrent: active,
expectedSandboxStartMaxConcurrent: startup,
requiredAdmissionMax: admission,
expectedSimulationQueueTimeoutMs: classroom ? context.classroomQueueTimeoutMs : undefined,
}, measurement.runtimeConfiguration);
} finally {
await backend.stop();
}
measurement.cleanup = { ...measurement.cleanup, remainingCapacityContainers: context.countOwnedContainers(runId, true), backendExited: true };
context.lastCleanup = measurement.cleanup;
context.safetyEvents.push(...safetyEventsForMeasurement(phase, measurement, context.config.maxCpuPercent, context.minimumMemory, context.now));
return measurement;
}
function phaseError(context: CalibrationPhaseContext, phase: SafetyEvent["phase"], error: unknown): string {
const message = error instanceof Error ? error.message : String(error);
context.safetyEvents.push({ atMs: context.now(), phase, kind: configurationErrorFor(error) ? "configuration" : "backend", message, immediate: true });
return message;
}
async function runActiveCandidateList(
context: CalibrationPhaseContext,
candidates: number[],
measurements: ActiveMeasurement[],
allowDownwardRefinement: boolean,
): Promise<{ partial: boolean; stopReason: string | null; candidates: number[] }> {
let partial = false;
let stopReason: string | null = null;
for (let index = 0; index < candidates.length; index += 1) {
Iif (context.now() >= context.deadline) { partial = true; stopReason = "calibration deadline reached during active phase"; break; }
const candidate = candidates[index];
try {
const summary = activeMeasurement(candidate, await measureCalibrationCandidate(context, "active", candidate, candidate));
measurements.push(summary);
Iif (allowDownwardRefinement && index === 0 && summary.cpuP95Percent !== null && summary.cpuP95Percent > context.config.targetCpuPercent) {
candidates = [candidate, ...planDownwardRefinement(candidate, context.config, context.host.required.logicalCpus).filter((value) => value !== candidate)];
}
if (summary.cpuP95Percent !== null && summary.cpuP95Percent >= context.config.maxCpuPercent) {
context.safetyEvents.push({ atMs: context.now(), phase: "active", kind: "cpu", message: `Active candidate ${candidate} reached the hard CPU ceiling`, immediate: false });
Eif (index !== 0) break;
}
} catch (error) {
partial = true;
stopReason = phaseError(context, "active", error);
break;
}
}
return { partial, stopReason, candidates };
}
async function runActivePhase(context: CalibrationPhaseContext): Promise<{ measurements: ActiveMeasurement[]; partial: boolean; stopReason: string | null }> {
const measurements: ActiveMeasurement[] = [];
const coarse = await runActiveCandidateList(context, [...context.activeCandidates], measurements, true);
let partial = coarse.partial;
let stopReason = coarse.stopReason;
if (!partial) {
const refinements = planBracketRefinement(measurements, context.config, context.host.required.logicalCpus).filter((candidate) => !measurements.some((measurement) => measurement.requested === candidate));
const refinement = await runActiveCandidateList(context, refinements, measurements, false);
partial = refinement.partial;
stopReason = refinement.stopReason ?? stopReason;
}
return { measurements, partial, stopReason };
}
async function runStartupPhase(context: CalibrationPhaseContext, selectedActive: number | null, partial: boolean): Promise<{ measurements: StartupMeasurement[]; partial: boolean; stopReason: string | null; p99: number | null; max: number | null }> {
const measurements: StartupMeasurement[] = [];
let p99: number | null = null;
let max: number | null = null;
Eif (context.config.skipStartupTuning || selectedActive === null || partial) return { measurements, partial, stopReason: null, p99, max };
for (const candidate of context.startupCandidates.filter((value) => value <= selectedActive)) {
if (context.now() >= context.deadline) return { measurements, partial: true, stopReason: "calibration deadline reached during startup phase", p99, max };
try {
const measurement = await measureCalibrationCandidate(context, "startup", selectedActive, candidate);
measurements.push(startupMeasurement(candidate, measurement));
p99 = Math.max(p99 ?? 0, percentile(measurement.startupSlotWaitMs, 99) ?? 0);
max = Math.max(max ?? 0, maxValue(measurement.startupSlotWaitMs) ?? 0);
} catch (error) {
return { measurements, partial: true, stopReason: phaseError(context, "startup", error), p99, max };
}
}
return { measurements, partial, stopReason: null, p99, max };
}
async function runCalibrationPhases(context: CalibrationPhaseContext): Promise<PhaseRunResult> {
const phases: CalibrationRunResult["phases"] = { dockerControl: [], active: [], startup: [], classroom: null };
let partial = false;
let stopReason: string | null = null;
Iif (context.now() >= context.deadline) return { phases, partial: true, stopReason: "calibration deadline reached before measurements", cleanup: context.lastCleanup, startupSlotWaitP99Ms: null, startupSlotWaitMaxMs: null };
phases.dockerControl = await context.measureControl(context.image, Math.min(8, Math.max(2, context.host.required.logicalCpus)), 3);
const active = await runActivePhase(context);
phases.active = active.measurements;
partial = active.partial;
stopReason = active.stopReason;
const selectedActive = selectActiveRecommendation(phases.active, context.config).value;
const startup = await runStartupPhase(context, selectedActive, partial);
phases.startup = startup.measurements;
partial = startup.partial;
stopReason = startup.stopReason ?? stopReason;
const selectedStartup = context.config.skipStartupTuning ? null : selectStartupRecommendation(phases.startup, context.baseCapacity.sandboxStartMaxConcurrent, selectedActive ?? 1).value;
let finalCleanup = context.lastCleanup;
Iif (!context.config.skipClassroom && selectedActive !== null && selectedStartup !== null && !partial) {
try {
const classroom = await measureCalibrationCandidate(context, "classroom", selectedActive, selectedStartup, "classroom");
phases.classroom = classroomMeasurement(classroom);
finalCleanup = phases.classroom.cleanup;
} catch (error) {
partial = true;
stopReason = phaseError(context, "classroom", error);
}
}
return { phases, partial, stopReason, cleanup: finalCleanup, startupSlotWaitP99Ms: startup.p99, startupSlotWaitMaxMs: startup.max };
}
function buildCalibrationRecommendations(
config: CalibrationCliConfig,
phases: CalibrationRunResult["phases"],
baseCapacity: EffectiveCapacityConfiguration,
startupSlotWaitP99Ms: number | null,
startupSlotWaitMaxMs: number | null,
): CalibrationRecommendations {
const activeRecommendation = selectActiveRecommendation(phases.active, config);
const startupRecommendation = config.skipStartupTuning
? notCalibrated<number>()
: selectStartupRecommendation(phases.startup, baseCapacity.sandboxStartMaxConcurrent, activeRecommendation.value ?? 1);
const controlDurations = phases.dockerControl.filter((sample) => sample.condition === "parallel").flatMap((sample) => sample.durationsMs);
const controlRecommendation = recommendDockerControlTimeout(percentile(controlDurations, 99), DOCKER_CONTROL_DEFAULT_MS, DOCKER_CONTROL_RANGE);
const classroomRecommendations = buildClassroomRecommendations(config, phases, startupSlotWaitP99Ms, startupSlotWaitMaxMs);
return {
simulationMaxConcurrent: activeRecommendation,
sandboxStartMaxConcurrent: startupRecommendation,
simulationAdmissionMax: classroomRecommendations.admission,
simulationQueueTimeoutMs: classroomRecommendations.queue,
sandboxStartSlotTimeoutMs: classroomRecommendations.slot,
dockerControlTimeoutMs: controlRecommendation,
compileMaxConcurrent: notCalibrated<number>(),
};
}
function buildClassroomRecommendations(
config: CalibrationCliConfig,
phases: CalibrationRunResult["phases"],
startupSlotWaitP99Ms: number | null,
startupSlotWaitMaxMs: number | null,
): { queue: Recommendation<number>; slot: Recommendation<number>; admission: Recommendation<number> } {
const classroom = phases.classroom;
const complete = isClassroomComplete(classroom, config.expectedUsers);
const queue = buildQueueRecommendation(classroom, complete, config);
const slot = buildSlotRecommendation(classroom, phases.startup, startupSlotWaitP99Ms, startupSlotWaitMaxMs);
const admission = buildAdmissionRecommendation(classroom, complete, config.expectedUsers);
return { queue, slot, admission };
}
function isClassroomComplete(classroom: ClassroomMeasurement | null, expectedUsers: number): boolean {
return classroom !== null && classroom.requested === expectedUsers && classroom.admitted >= expectedUsers
&& classroom.started === expectedUsers && classroom.successful === expectedUsers
&& classroom.rejected === 0 && classroom.failed === 0 && classroom.incomplete === 0 && classroom.errors.length === 0;
}
function buildQueueRecommendation(classroom: ClassroomMeasurement | null, complete: boolean, config: CalibrationCliConfig): Recommendation<number> {
Iif (complete && classroom?.queueWaitMs.length === config.expectedUsers) {
return recommendQueueTimeout(classroom.queueP95Ms, classroom.queueP99Ms, classroom.queueMaxMs, config.maxUserWaitSec);
}
return {
...notCalibrated<number>(),
measuredBasis: classroom ? [`classroom queue measurement incomplete (${classroom.queueWaitMs.length}/${config.expectedUsers} client waits)`] : [],
warnings: classroom ? ["The classroom queue distribution was censored by rejection, timeout, or incomplete client phase data."] : ["Simulation queue waits were not measured."],
};
}
function buildSlotRecommendation(classroom: ClassroomMeasurement | null, startup: StartupMeasurement[], p99: number | null, max: number | null): Recommendation<number> {
Iif (classroom?.authoritativeSandboxStartWaitSamplesComplete) {
return recommendSandboxStartSlotTimeout(classroom.startupSlotWaitP99Ms, classroom.startupSlotWaitMaxMs, SANDBOX_START_SLOT_DEFAULT_MS, SANDBOX_START_SLOT_RANGE);
}
Iif (!classroom && startup.length > 0 && startup.every((measurement) => measurement.startupSlotWaitSamplesComplete === true)) {
return recommendSandboxStartSlotTimeout(p99, max, SANDBOX_START_SLOT_DEFAULT_MS, SANDBOX_START_SLOT_RANGE);
}
const expected = classroom?.authoritativeSandboxStartWaitSamplesExpected;
return {
...notCalibrated<number>(),
measuredBasis: [classroom ? `authoritative sandbox-start samples incomplete (${expected ?? 0} expected)` : "authoritative sandbox-start samples unavailable for startup candidates"],
warnings: ["Sandbox-start-slot calibration requires complete backend semaphore samples."],
};
}
function buildAdmissionRecommendation(classroom: ClassroomMeasurement | null, complete: boolean, expectedUsers: number): Recommendation<number> {
const cleanup = classroom?.cleanup;
const valid = complete && classroom !== null && classroom.runtimeConfiguration.simulationAdmissionMax >= expectedUsers
&& cleanup?.remainingCapacityContainers === 0 && cleanup.activeSimulationCount === 0 && cleanup.queueWaiting === 0
&& cleanup.admissionCurrent === 0 && cleanup.sandboxStartActive === 0 && cleanup.sandboxStartWaiting === 0;
Iif (valid) return { value: expectedUsers, status: "recommended", confidence: "HIGH", measuredBasis: [`admission envelope of ${expectedUsers} users completed successfully`], warnings: [] };
return { value: null, status: "not-calibrated", confidence: "LOW", measuredBasis: [`requested admission envelope: ${expectedUsers} users`], warnings: ["The expected-users classroom phase did not complete a successful admission validation."] };
}
export async function runCalibration(
config: CalibrationCliConfig,
dependencies: CalibrationDependencies = {},
): Promise<CalibrationRunResult> {
const now = dependencies.now ?? Date.now;
const collectHost = dependencies.collectHostProbe ?? (() => collectHostProbe());
const collectDocker = dependencies.collectDockerProbe ?? ((image: string) => collectDockerProbe(image));
const measureControl = dependencies.measureDockerControlLatency ?? ((image: string, parallelism: number, samples: number) => measureDockerControlLatency(image, parallelism, samples));
const runScenario = dependencies.runScenario ?? ((options: CapacityScenarioOptions) => runCapacityScenario(options));
const startBackend = dependencies.startBackend ?? defaultStartBackend;
const countOwnedContainers = dependencies.ownedContainerCount ?? ownedContainerCount;
const verifyBuildArtifacts = dependencies.verifyBuildArtifacts ?? (() => assertCalibrationBuildArtifacts());
const image = process.env.DOCKER_SANDBOX_IMAGE ?? DEFAULT_IMAGE;
const startedAt = now();
const deadline = startedAt + config.maxDurationMin * 60_000;
const safetyEvents: SafetyEvent[] = [];
console.log(`UnoSim Capacity Calibration\nPolicy: expected users=${config.expectedUsers}, target CPU=${config.targetCpuPercent}%, hard CPU=${config.maxCpuPercent}%, max wait=${config.maxUserWaitSec}s, duration=${config.maxDurationMin}min`);
// Dry runs start no backend, so only measuring runs need the built client.
if (!config.dryRun) verifyBuildArtifacts();
let host = unavailableHostProbe();
let docker = unavailableDockerProbe(image);
try {
host = await collectHost();
docker = await collectDocker(image);
Iif (!docker.daemonHealthy) throw new Error("Docker daemon is not healthy");
} catch (error) {
const message = error instanceof Error ? error.message : String(error);
await writeCalibrationArtifacts(failedCalibrationResult(config, host, docker, message), config.outputDir);
throw error;
}
Iif (!host.safetySignals.cpuAvailable || !host.safetySignals.memoryAvailable) {
if (!config.dryRun) throw new Error("Required CPU and memory safety probes are unavailable");
}
const baseCapacity = currentCapacityConfiguration();
const classroomQueueTimeoutMs = measurementQueueTimeoutMs(
baseCapacity.simulationQueueTimeoutMs,
config.maxUserWaitSec,
FIXED_CLASSROOM_DURATION_SEC,
);
const activeCandidates = planActiveCandidates(config, host.required.logicalCpus);
const startupCandidates = [...new Set([8, 12, 16, 20, 24, 32].filter((value) => value <= Math.max(activeCandidates.at(-1) ?? 1, 1)))];
const plan = { activeCandidates, startupCandidates, classroomDurationSec: FIXED_CLASSROOM_DURATION_SEC as 60 };
const minimumMemory = Math.max(2 * 1024 ** 3, (host.optional.physicalMemoryBytes ?? 0) * 0.1);
let phases: CalibrationRunResult["phases"] = { dockerControl: [], active: [], startup: [], classroom: null };
let partial = false;
let stopReason: string | null = null;
let cleanup = emptyCleanup();
let startupSlotWaitP99Ms: number | null = null;
let startupSlotWaitMaxMs: number | null = null;
if (!config.dryRun) {
const phaseResult = await runCalibrationPhases({
config, baseCapacity, classroomQueueTimeoutMs, deadline, now, image, host, minimumMemory,
activeCandidates, startupCandidates, measureControl, runScenario, startBackend, countOwnedContainers, safetyEvents,
lastCleanup: emptyCleanup(),
});
phases = phaseResult.phases;
partial = phaseResult.partial;
stopReason = phaseResult.stopReason;
cleanup = phaseResult.cleanup;
startupSlotWaitP99Ms = phaseResult.startupSlotWaitP99Ms;
startupSlotWaitMaxMs = phaseResult.startupSlotWaitMaxMs;
}
const recommendations = buildCalibrationRecommendations(
config, phases, baseCapacity, startupSlotWaitP99Ms, startupSlotWaitMaxMs,
);
const confidence = scoreCalibrationConfidence(
phases.active.length + phases.startup.length + (phases.classroom ? 1 : 0),
!partial,
safetyEvents.length,
);
Iif (config.verbose) console.log(`Calibration complete: confidence=${confidence}, partial=${partial}`);
const result: CalibrationRunResult = {
schemaVersion: 1,
policyVersion: CALIBRATION_POLICY_VERSION,
policy: config,
fingerprint: {
gitSha: host.required.gitSha,
gitDirty: host.required.gitDirty,
host,
docker,
effectiveCapacity: baseCapacity,
measurementQueueTimeoutMs: classroomQueueTimeoutMs,
},
plan,
phases,
recommendations,
safetyEvents,
partial,
stopReason,
cleanup,
};
await writeCalibrationArtifacts(result, config.outputDir);
return result;
}
Iif (import.meta.url === `file://${process.argv[1]}`) {
try {
const config = await parseCalibrationArgs(process.argv.slice(2));
const result = await runCalibration(config);
console.log(JSON.stringify(result.recommendations, null, 2));
} catch (error) {
console.error(error instanceof Error ? error.message : String(error));
process.exitCode = 2;
}
}
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