Files
OpenFrontIO/packages/server/src/WorkerMetrics.ts
T
Evan PelleandClaude Opus 4.8 a7f992e9b0 refactor: convert to npm-workspaces monorepo (engine/core-public/shared/client/server)
Restructure the single src/ tree into an npm-workspaces monorepo under
packages/, rename core -> engine, extract a types-only core-public layer,
and break the pre-existing engine -> client dependency cycle.

Structure (packages/):
  core-public  public API/wire schemas + shared enums (clean leaf)
  shared       framework-agnostic helpers (clean leaf)
  engine       deterministic simulation (was src/core)
  client       rendering/UI (was src/client)
  server       coordination (was src/server)

Dependency DAG: engine -> {core-public, shared}; client -> {core-public,
shared, engine}; server -> {core-public, engine}.

- npm workspaces: root package.json workspaces + per-package package.json;
  tsconfig.base.json holds shared options + path aliases
  (core-public/* shared/* engine/* client/* server/*) resolved uniformly by
  tsc, Vite (resolve.tsconfigPaths), Vitest, and tsx. Lockfile regenerated.
- core-public: moved Schemas/ApiSchemas/CosmeticSchemas/StatsSchemas/
  ClanApiSchemas/WorkerSchemas/Base64/PatternDecoder; extracted the enums
  (GameTypes), GameEvent type, emoji table, and GraphicsOverrides schema.
  Engine re-exports the moved enums/types so existing imports keep working.
- Broke engine -> client cycle:
  - renderNumber/renderTroops -> shared/format
  - NameBoxCalculator moved into engine
  - username validation returns translation key + params; client translates
  - applyStateUpdate moved to client (operates on the render-only PlayerState)
  - Config/UnitGrid/execution-Util/GameImpl now use structural read
    interfaces (engine/game/ReadViews: PlayerLike/UnitLike/GameLike) instead
    of importing client view classes; client imports view classes from a new
    client/view barrel; deleted the engine/game/GameView re-export shim.
- Build/deploy updated: vite.config, index.html, eslint, Dockerfile
  (copies packages/ + tsconfig.base.json before npm ci), .vscode, tests.

Verified: tsc --noEmit clean; 1364 + 65 tests pass; production vite build
succeeds; engine has zero client/server imports; core-public and shared are
dependency leaves.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-10 16:51:03 +00:00

92 lines
2.6 KiB
TypeScript

import { OTLPMetricExporter } from "@opentelemetry/exporter-metrics-otlp-http";
import {
MeterProvider,
PeriodicExportingMetricReader,
} from "@opentelemetry/sdk-metrics";
import * as dotenv from "dotenv";
import { GameManager } from "./GameManager";
import { getOtelResource, getPromLabels } from "./OtelResource";
import { ServerEnv } from "./ServerEnv";
dotenv.config();
export function initWorkerMetrics(gameManager: GameManager): void {
// Create resource with worker information
const resource = getOtelResource();
// Configure auth headers
const headers: Record<string, string> = {};
if (ServerEnv.otelEnabled()) {
headers["Authorization"] = "Basic " + ServerEnv.otelAuthHeader();
}
// Create metrics exporter
const metricExporter = new OTLPMetricExporter({
url: `${ServerEnv.otelEndpoint()}/v1/metrics`,
headers,
});
// Configure the metric reader
const metricReader = new PeriodicExportingMetricReader({
exporter: metricExporter,
exportIntervalMillis: 15000, // Export metrics every 15 seconds
});
// Create a meter provider
const meterProvider = new MeterProvider({
resource,
readers: [metricReader],
});
// Get meter for creating metrics
const meter = meterProvider.getMeter("worker-metrics");
// Create observable gauges
const activeGamesGauge = meter.createObservableGauge(
"openfront.active_games.gauge",
{
description: "Number of active games on this worker",
},
);
const connectedClientsGauge = meter.createObservableGauge(
"openfront.connected_clients.gauge",
{
description: "Number of connected clients on this worker",
},
);
const desyncsGauge = meter.createObservableGauge("openfront.desyncs.gauge", {
description: "Number of detected desyncs on active games on this worker",
});
const memoryUsageGauge = meter.createObservableGauge(
"openfront.memory_usage.bytes",
{
description: "Current memory usage of the worker process in bytes",
},
);
activeGamesGauge.addCallback((result) => {
const count = gameManager.activeGames();
result.observe(count, getPromLabels());
});
connectedClientsGauge.addCallback((result) => {
const count = gameManager.activeClients();
result.observe(count, getPromLabels());
});
desyncsGauge.addCallback((result) => {
const count = gameManager.desyncCount();
result.observe(count, getPromLabels());
});
memoryUsageGauge.addCallback((result) => {
const memoryUsage = process.memoryUsage();
result.observe(memoryUsage.heapUsed, getPromLabels());
});
console.log("Metrics initialized with GameManager");
}