Phase 0.2 of the NVENC All-Intra HEVC ingest plan. node-agent/handleSidecarStart: - Accept useGpu: true in the sidecar start body - When useGpu: adds Runtime=nvidia, DeviceRequests=[gpu], and injects NVIDIA_VISIBLE_DEVICES=all + NVIDIA_DRIVER_CAPABILITIES=video,compute,utility into the container env. CPU-codec recorders are unaffected (useGpu defaults false). mam-api/recorders (start endpoint): - Derive useGpu from recorder.recording_codec — true for hevc_nvenc/h264_nvenc - Pass useGpu to remote sidecar start body - Apply same Runtime/DeviceRequests to the local Docker spawn path capture/capture-manager: - Update hevc_nvenc codec entry with all-intra flags: -g 1 -bf 0 (every frame IDR, no B-frames — required for growing-file edit-while-record), -rc vbr, -profile:v main10, pixFmt p010le (10-bit 4:2:0) Next: validation gate (§8) — test MXF OP1a then fragmented MOV on one DeckLink channel, mount in Premiere while recording. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
591 lines
23 KiB
JavaScript
591 lines
23 KiB
JavaScript
import http from 'http';
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import os from 'os';
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import fs from 'fs';
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const MAM_API_URL = (process.env.MAM_API_URL || 'http://localhost:3000').replace(/\/$/, '');
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const NODE_TOKEN = process.env.NODE_TOKEN || '';
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const NODE_ROLE = process.env.NODE_ROLE || 'worker';
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const AGENT_PORT = parseInt(process.env.AGENT_PORT || '7436', 10);
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const HEARTBEAT_MS = parseInt(process.env.HEARTBEAT_MS || '30000', 10);
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const LIVE_DIR = process.env.LIVE_DIR || '/mnt/NVME/MAM/wild-dragon-live';
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const VERSION = '1.3.0';
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// Pick the host's LAN IP. Inside a bridge-mode container,
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// os.networkInterfaces() returns the container's docker-bridge IP (172.x),
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// not the host's LAN address. Two strategies:
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// 1. honour an explicit NODE_IP override (set by onboard-node.sh)
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// 2. filter out interfaces that obviously belong to container/virtual
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// bridges and down-rank the docker bridge range so real LAN IPs win
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//
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// Combine with `network_mode: host` in docker-compose.worker.yml for the
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// most reliable result — that lets os.networkInterfaces() see the host's
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// real adapters directly.
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function getIp() {
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if (process.env.NODE_IP) return process.env.NODE_IP;
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const SKIP_IFACE = /^(lo|docker\d*|br-|veth|cni|flannel|cali|tun|tap|virbr|kube)/i;
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const isContainerBridge = (ip) => /^172\.(1[6-9]|2\d|3[01])\./.test(ip);
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const candidates = [];
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for (const [name, addrs] of Object.entries(os.networkInterfaces())) {
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if (SKIP_IFACE.test(name)) continue;
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for (const a of (addrs || [])) {
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if (a.family !== 'IPv4' || a.internal) continue;
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candidates.push({ name, address: a.address, rank: isContainerBridge(a.address) ? 1 : 0 });
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}
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}
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candidates.sort((a, b) => a.rank - b.rank);
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return candidates.length ? candidates[0].address : null;
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}
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// ── Docker API helper (talks to local /var/run/docker.sock) ───────────────
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function dockerApi(method, path, body = null) {
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return new Promise((resolve, reject) => {
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const options = {
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socketPath: '/var/run/docker.sock',
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path: `/v1.43${path}`,
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method,
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headers: { 'Content-Type': 'application/json' },
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};
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const req = http.request(options, (res) => {
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let data = '';
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res.on('data', chunk => data += chunk);
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res.on('end', () => {
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try { resolve({ status: res.statusCode, data: data ? JSON.parse(data) : {} }); }
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catch { resolve({ status: res.statusCode, data }); }
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});
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});
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req.on('error', reject);
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if (body) req.write(JSON.stringify(body));
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req.end();
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});
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}
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function readBody(req) {
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return new Promise((resolve, reject) => {
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let data = '';
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req.on('data', chunk => data += chunk);
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req.on('end', () => {
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try { resolve(JSON.parse(data || '{}')); }
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catch { reject(new Error('Invalid JSON')); }
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});
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req.on('error', reject);
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});
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}
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function jsonResponse(res, status, body) {
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res.writeHead(status, { 'Content-Type': 'application/json' });
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res.end(JSON.stringify(body));
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}
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// ── Sidecar: spawn a capture container on this node ───────────────────────
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async function handleSidecarStart(body, res) {
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try {
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const {
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image = 'wild-dragon-capture:latest',
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env = [],
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capturePort = 3001,
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sourceType = 'sdi',
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// useGpu: true → attach NVIDIA runtime + NVIDIA_VISIBLE_DEVICES so the
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// sidecar can call hevc_nvenc / h264_nvenc inside capture ffmpeg.
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// Only set this when the recorder codec is GPU-accelerated; CPU codecs
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// (ProRes, DNxHR, libx264) don't need it and it avoids a hard dep on the
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// NVIDIA container runtime on nodes that have no GPU.
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useGpu = false,
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} = body;
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const binds = [`${LIVE_DIR}:/live`];
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if (sourceType === 'sdi') binds.unshift('/dev/blackmagic:/dev/blackmagic');
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if (sourceType === 'deltacast') {
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// Bind each /dev/deltacast* node that exists on the host into the container.
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// If none exist the capture container falls back to test-card (lavfi) mode.
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try {
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const dcEntries = fs.readdirSync('/dev').filter(n => /^deltacast\d+$/.test(n));
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for (const d of dcEntries) binds.push(`/dev/${d}:/dev/${d}`);
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} catch (_) { /* /dev always exists */ }
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}
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// Build the sidecar environment, injecting NVIDIA vars when GPU is requested.
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const sidecarEnv = [...env, `PORT=${capturePort}`];
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if (useGpu) {
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// NVIDIA_VISIBLE_DEVICES=all exposes every GPU on the host.
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// For a single-GPU node (zampp2 / L4) this is equivalent to pinning GPU 0.
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// When we later store per-recorder GPU affinity in the DB we can pass a
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// specific UUID here instead.
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sidecarEnv.push('NVIDIA_VISIBLE_DEVICES=all');
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sidecarEnv.push('NVIDIA_DRIVER_CAPABILITIES=video,compute,utility');
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}
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const hostConfig = {
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NetworkMode: 'host',
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Privileged: true,
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Binds: binds,
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};
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if (useGpu) {
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// Tell Docker to use the NVIDIA container runtime for this container.
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// Equivalent to `docker run --gpus all` / `--runtime=nvidia`.
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hostConfig.Runtime = 'nvidia';
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hostConfig.DeviceRequests = [
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{ Driver: 'nvidia', Count: -1, Capabilities: [['gpu']] },
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];
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}
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const spec = {
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Image: image,
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Env: sidecarEnv,
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HostConfig: hostConfig,
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};
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const createRes = await dockerApi('POST', '/containers/create', spec);
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if (createRes.status !== 201) {
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return jsonResponse(res, 502, { error: 'Failed to create container', details: createRes.data });
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}
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const containerId = createRes.data.Id;
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const _u = (env.find(e => e.startsWith('MAM_API_URL=')) || '').slice(12);
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const _tok = env.some(e => e.startsWith('MAM_API_TOKEN=') && e.length > 14);
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console.log(`[sidecar-start] ${containerId} image=${image} src=${sourceType} MAM_API_URL=${_u} token=${_tok}`);
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const startRes = await dockerApi('POST', `/containers/${containerId}/start`);
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if (startRes.status !== 204) {
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await dockerApi('DELETE', `/containers/${containerId}?force=true`).catch(() => {});
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return jsonResponse(res, 502, { error: 'Failed to start container', details: startRes.data });
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}
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jsonResponse(res, 201, { containerId, capturePort });
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} catch (err) {
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jsonResponse(res, 500, { error: err.message });
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}
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}
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async function fetchContainerLogs(containerId) {
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return await new Promise((resolve) => {
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const options = {
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socketPath: '/var/run/docker.sock',
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path: `/v1.43/containers/${containerId}/logs?stdout=1&stderr=1&tail=200`,
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method: 'GET',
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};
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const req = http.request(options, res => {
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const chunks = [];
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res.on('data', c => chunks.push(c));
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res.on('end', () => resolve(Buffer.concat(chunks).toString('utf8').replace(/[\x00-\x08]/g, '')));
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});
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req.on('error', () => resolve('(log fetch failed)'));
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req.end();
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});
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}
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async function handleSidecarStop(containerId, res) {
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try {
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console.log(`[sidecar-stop] stopping ${containerId} (grace 180s)...`);
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// Grace period must exceed the capture container's shutdown work
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// (finalise ffmpeg session + register asset via callback). Default
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// docker stop is only 10s, which SIGKILLs capture mid-finalise and
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// loses the POST /assets callback -> asset stuck 'live', no jobs.
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await dockerApi('POST', `/containers/${containerId}/stop?t=180`).catch(() => {});
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// Dump the capture container's shutdown logs into our persistent log
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// BEFORE removing it, so failed callbacks are diagnosable.
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const logs = await fetchContainerLogs(containerId);
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console.log(`[sidecar-stop] ==== capture logs for ${containerId} ====\n${logs}\n[sidecar-stop] ==== end logs ====`);
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// Container has now exited gracefully (or hit the 180s cap); remove it.
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await dockerApi('DELETE', `/containers/${containerId}?force=true`).catch(() => {});
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jsonResponse(res, 200, { ok: true });
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} catch (err) {
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console.error(`[sidecar-stop] error: ${err.message}`);
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jsonResponse(res, 500, { error: err.message });
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}
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}
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async function handleSidecarStatus(containerId, res) {
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try {
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const inspectRes = await dockerApi('GET', `/containers/${containerId}/json`);
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if (inspectRes.status !== 200) {
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return jsonResponse(res, 200, { running: false });
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}
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const container = inspectRes.data;
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const running = container.State?.Running || false;
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const startedAt = container.State?.StartedAt;
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// Derive capturePort from the container's env so we know where to poll.
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const portEnv = (container.Config?.Env || []).find(e => e.startsWith('PORT='));
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const capturePort = portEnv ? parseInt(portEnv.split('=')[1], 10) : 3001;
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let live = null;
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if (running) {
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try {
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const captureRes = await fetch(`http://127.0.0.1:${capturePort}/capture/status`, {
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signal: AbortSignal.timeout(2000),
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});
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if (captureRes.ok) live = await captureRes.json();
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} catch (_) {}
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}
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jsonResponse(res, 200, { running, startedAt, live });
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} catch (err) {
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jsonResponse(res, 500, { error: err.message });
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}
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}
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// ── CPU sampling (500ms window) ───────────────────────────────────────────
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function sampleCpu() {
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return new Promise(resolve => {
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const s1 = os.cpus();
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setTimeout(() => {
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const s2 = os.cpus();
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let idle = 0, total = 0;
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s2.forEach((cpu, i) => {
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for (const t of Object.keys(cpu.times)) {
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const d = cpu.times[t] - (s1[i]?.times[t] ?? 0);
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total += d;
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if (t === 'idle') idle += d;
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}
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});
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resolve(total > 0 ? Math.round((1 - idle / total) * 10000) / 100 : 0);
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}, 500);
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});
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}
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// -- Live GPU utilization sampling -----------------------------------------
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// Spawns a short-lived nvidia container via Docker API on each heartbeat call.
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// Returns array of { index, util_pct, mem_used_mb, mem_total_mb } per GPU,
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// or [] if no GPUs / nvidia runtime unavailable.
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async function sampleGpuUtil() {
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if (!_gpuCache || _gpuCache.length === 0) return [];
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const QUERY = '--query-gpu=index,utilization.gpu,memory.used,memory.total';
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const FMT = '--format=csv,noheader,nounits';
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let containerId;
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try {
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const createRes = await dockerApi('POST', '/containers/create', {
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Image: 'ubuntu:22.04',
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Cmd: ['nvidia-smi', QUERY, FMT],
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HostConfig: {
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AutoRemove: false,
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Runtime: 'nvidia',
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DeviceRequests: [{ Driver: 'nvidia', Count: -1, Capabilities: [['gpu']] }],
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},
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});
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if (createRes.status !== 201) return [];
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containerId = createRes.data.Id;
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await dockerApi('POST', `/containers/${containerId}/start`);
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for (let i = 0; i < 10; i++) {
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await new Promise(r => setTimeout(r, 400));
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const inspect = await dockerApi('GET', `/containers/${containerId}/json`);
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if (!inspect.data?.State?.Running) break;
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}
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const logRes = await new Promise((resolve, reject) => {
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const options = {
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socketPath: '/var/run/docker.sock',
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path: `/v1.43/containers/${containerId}/logs?stdout=1&stderr=0`,
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method: 'GET',
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};
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const req = http.request(options, res => {
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const chunks = [];
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res.on('data', c => chunks.push(c));
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res.on('end', () => resolve(Buffer.concat(chunks).toString('utf8')));
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});
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req.on('error', reject);
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req.end();
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});
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const text = logRes.replace(/[\x00-\x07].{7}/g, '').trim();
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const lines = text.split('\n').filter(l => /^\d+,/.test(l.trim()));
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return lines.map(line => {
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const [idx, util, memUsed, memTotal] = line.split(',').map(s => parseInt(s.trim(), 10));
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return { index: idx, util_pct: util, mem_used_mb: memUsed, mem_total_mb: memTotal };
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});
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} catch (err) {
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console.warn('[gpu-util] sampling failed:', err.message);
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return [];
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} finally {
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if (containerId) {
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await dockerApi('DELETE', `/containers/${containerId}?force=true`).catch(() => {});
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}
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}
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}
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// ── Hardware detection ────────────────────────────────────────────────────
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// GPU_COUNT / BMD_COUNT env vars override filesystem detection when /dev isn't mapped
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// Cached GPU info from nvidia-smi — populated once at startup via Docker API.
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// null = not yet probed; [] = probed but no GPUs or no runtime.
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let _gpuCache = null;
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async function probeGpusViaSmi() {
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// Use Docker API (socket) to run nvidia-smi inside a GPU-enabled container.
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// The NVIDIA Container Runtime injects nvidia-smi + libs into ubuntu:22.04.
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// This sidesteps the Alpine/glibc incompatibility in the node-agent image.
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const QUERY = '--query-gpu=index,name,memory.total,driver_version';
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const FMT = '--format=csv,noheader,nounits';
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let containerId;
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try {
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// Create container with nvidia runtime and GPU access
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const createRes = await dockerApi('POST', '/containers/create', {
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Image: 'ubuntu:22.04',
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Cmd: ['nvidia-smi', QUERY, FMT],
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HostConfig: {
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AutoRemove: false,
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Runtime: 'nvidia',
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DeviceRequests: [{ Driver: 'nvidia', Count: -1, Capabilities: [['gpu']] }],
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},
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});
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if (createRes.status !== 201) return;
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containerId = createRes.data.Id;
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await dockerApi('POST', `/containers/${containerId}/start`);
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// Wait for it to finish (poll status)
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for (let i = 0; i < 20; i++) {
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await new Promise(r => setTimeout(r, 500));
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const inspect = await dockerApi('GET', `/containers/${containerId}/json`);
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if (!inspect.data?.State?.Running) break;
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}
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// Grab stdout logs
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const logRes = await new Promise((resolve, reject) => {
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const options = {
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socketPath: '/var/run/docker.sock',
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path: `/v1.43/containers/${containerId}/logs?stdout=1&stderr=0`,
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method: 'GET',
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};
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const req = http.request(options, res => {
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const chunks = [];
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res.on('data', c => chunks.push(c));
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res.on('end', () => resolve(Buffer.concat(chunks).toString('utf8')));
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});
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req.on('error', reject);
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req.end();
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});
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// Docker log frames have an 8-byte header — strip them
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const text = logRes.replace(/[\x00-\x07].{7}/g, '').trim();
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const lines = text.split('\n').filter(l => /^\d+,/.test(l.trim()));
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if (lines.length) {
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_gpuCache = lines.map(line => {
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const [idx, name, memMiB, driver] = line.split(',').map(s => s.trim());
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return {
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index: parseInt(idx, 10),
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name: name,
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memory_mb: parseInt(memMiB, 10),
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driver: driver,
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device: `/dev/nvidia${idx}`,
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type: 'nvidia',
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};
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});
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console.log(`[gpu] detected ${_gpuCache.length} GPU(s) via nvidia-smi: ${_gpuCache.map(g => g.name).join(', ')}`);
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} else {
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_gpuCache = [];
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}
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} catch (err) {
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console.warn('[gpu] nvidia-smi probe failed:', err.message);
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_gpuCache = [];
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} finally {
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if (containerId) {
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await dockerApi('DELETE', `/containers/${containerId}?force=true`).catch(() => {});
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}
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}
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}
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function detectHardware() {
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const capabilities = { gpus: [], blackmagic: [], deltacast: [] };
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// Issue #108 — previously GPU_COUNT short-circuited the entire detection
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// path, throwing away the nvidia-smi enrichment (model, memory, driver
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// version). Now: override sets the *count*, but if nvidia-smi successfully
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// probed at startup we keep its rich entries for the overridden indexes.
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const gpuOverride = parseInt(process.env.GPU_COUNT || '-1', 10);
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if (gpuOverride >= 0) {
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for (let i = 0; i < gpuOverride; i++) {
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const enriched = (_gpuCache || []).find(g => g.index === i);
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capabilities.gpus.push(enriched || { device: `/dev/nvidia${i}`, type: 'nvidia', index: i });
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}
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} else if (_gpuCache !== null && _gpuCache.length > 0) {
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capabilities.gpus = _gpuCache;
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} else {
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for (let i = 0; i < 16; i++) {
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try {
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fs.accessSync(`/dev/nvidia${i}`, fs.constants.F_OK);
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capabilities.gpus.push({ device: `/dev/nvidia${i}`, type: 'nvidia', index: i });
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} catch (_) { break; }
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}
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}
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// Issue #109 — DeckLink device naming differs by model: capture-only cards
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// expose /dev/blackmagic/dv${i}, while DeckLink IO / Quad cards expose
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// /dev/blackmagic/io${i}. The previous code hardcoded `dv` which broke
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// capability reporting on every IO / Quad node. Detect what's actually
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// present and only synthesize names when /dev/blackmagic isn't mounted.
|
|
const bmdOverride = parseInt(process.env.BMD_COUNT || '-1', 10);
|
|
try {
|
|
const bmdEntries = fs.readdirSync('/dev/blackmagic');
|
|
// Filesystem wins — devices speak for themselves.
|
|
capabilities.blackmagic = bmdEntries.map((d, i) => ({ device: `/dev/blackmagic/${d}`, index: i }));
|
|
} catch (_) {
|
|
// No /dev/blackmagic mount — fall back to the BMD_COUNT override.
|
|
if (bmdOverride >= 0) {
|
|
const namePrefix = (process.env.BMD_DEVICE_PREFIX || 'dv').replace(/[^a-z]/gi, '');
|
|
for (let i = 0; i < bmdOverride; i++) {
|
|
capabilities.blackmagic.push({ device: `/dev/blackmagic/${namePrefix}${i}`, index: i });
|
|
}
|
|
}
|
|
}
|
|
|
|
// Best-effort model name from BMD_MODEL env (set manually) — used by the UI
|
|
// to render the correct card layout (Duo 2, Quad 2, Mini Recorder, ...).
|
|
if (process.env.BMD_MODEL) capabilities.blackmagic_model = process.env.BMD_MODEL;
|
|
|
|
// Deltacast SDI cards — enumerate /dev/deltacast* device nodes.
|
|
// DELTACAST_PORT_COUNT env overrides when devices aren't mapped (test/dev mode).
|
|
const dcOverride = parseInt(process.env.DELTACAST_PORT_COUNT || '-1', 10);
|
|
try {
|
|
const dcEntries = fs.readdirSync('/dev').filter(n => /^deltacast\d+$/.test(n)).sort();
|
|
if (dcEntries.length > 0) {
|
|
capabilities.deltacast = dcEntries.map((d, i) => ({
|
|
device: `/dev/${d}`,
|
|
index: i,
|
|
present: true,
|
|
}));
|
|
} else if (dcOverride >= 0) {
|
|
// No device nodes but count is configured — test-card mode.
|
|
for (let i = 0; i < dcOverride; i++) {
|
|
capabilities.deltacast.push({ device: `/dev/deltacast${i}`, index: i, present: false });
|
|
}
|
|
}
|
|
} catch (_) {
|
|
if (dcOverride >= 0) {
|
|
for (let i = 0; i < dcOverride; i++) {
|
|
capabilities.deltacast.push({ device: `/dev/deltacast${i}`, index: i, present: false });
|
|
}
|
|
}
|
|
}
|
|
if (process.env.DELTACAST_MODEL) capabilities.deltacast_model = process.env.DELTACAST_MODEL;
|
|
|
|
return capabilities;
|
|
}
|
|
|
|
// ── Heartbeat ─────────────────────────────────────────────────────────────
|
|
async function heartbeat() {
|
|
const cpu_usage = await sampleCpu();
|
|
const gpu_util = await sampleGpuUtil();
|
|
const totalMem = os.totalmem();
|
|
const freeMem = os.freemem();
|
|
const ip_address = getIp();
|
|
const capabilities = detectHardware();
|
|
|
|
const payload = {
|
|
hostname: os.hostname(),
|
|
ip_address,
|
|
role: NODE_ROLE,
|
|
version: VERSION,
|
|
api_url: `http://${ip_address || os.hostname()}:${AGENT_PORT}`,
|
|
cpu_usage,
|
|
mem_used_mb: Math.round((totalMem - freeMem) / 1048576),
|
|
mem_total_mb: Math.round(totalMem / 1048576),
|
|
capabilities,
|
|
gpu_util,
|
|
};
|
|
|
|
const headers = { 'Content-Type': 'application/json' };
|
|
if (NODE_TOKEN) headers['Authorization'] = `Bearer ${NODE_TOKEN}`;
|
|
|
|
try {
|
|
const res = await fetch(`${MAM_API_URL}/api/v1/cluster/heartbeat`, {
|
|
method: 'POST',
|
|
headers,
|
|
body: JSON.stringify(payload),
|
|
signal: AbortSignal.timeout(8000),
|
|
});
|
|
if (res.ok) {
|
|
const gpuStr = capabilities.gpus.length ? ` gpu=${capabilities.gpus.length}` : '';
|
|
const bmdStr = capabilities.blackmagic.length ? ` bmd=${capabilities.blackmagic.length}` : '';
|
|
const dcStr = capabilities.deltacast.length ? ` dc=${capabilities.deltacast.length}` : '';
|
|
process.stdout.write(
|
|
`[hb] ${payload.hostname} ip=${ip_address || '?'} cpu=${cpu_usage}% ` +
|
|
`mem=${payload.mem_used_mb}/${payload.mem_total_mb}MB${gpuStr}${bmdStr}${dcStr}\n`
|
|
);
|
|
} else {
|
|
const txt = await res.text().catch(() => '');
|
|
console.error(`[hb] ${res.status} ${txt.slice(0, 120)}`);
|
|
}
|
|
} catch (err) {
|
|
console.error(`[hb] failed — ${err.message}`);
|
|
}
|
|
}
|
|
|
|
// Probe GPU info once at startup (async, before first heartbeat).
|
|
// _gpuCache is populated here; heartbeats use the cached value.
|
|
probeGpusViaSmi().then(() => {
|
|
heartbeat();
|
|
setInterval(heartbeat, HEARTBEAT_MS);
|
|
});
|
|
|
|
// Serve the local HLS live-preview files (written by the capture sidecar to
|
|
// LIVE_DIR) so the primary can reverse-proxy them to the browser. Read-only.
|
|
function serveLiveFile(pathname, res) {
|
|
const rel = decodeURIComponent(pathname.slice('/live/'.length));
|
|
if (!rel || rel.includes('..') || rel.startsWith('/')) { res.writeHead(403); return res.end(); }
|
|
const filePath = LIVE_DIR + '/' + rel;
|
|
fs.readFile(filePath, (err, data) => {
|
|
if (err) { res.writeHead(404); return res.end(); }
|
|
const ct = filePath.endsWith('.m3u8') ? 'application/vnd.apple.mpegurl'
|
|
: filePath.endsWith('.ts') ? 'video/mp2t'
|
|
: 'application/octet-stream';
|
|
res.writeHead(200, { 'Content-Type': ct, 'Cache-Control': 'no-cache', 'Access-Control-Allow-Origin': '*' });
|
|
res.end(data);
|
|
});
|
|
}
|
|
|
|
// ── HTTP server ───────────────────────────────────────────────────────────
|
|
const server = http.createServer((req, res) => {
|
|
const { pathname } = new URL(req.url, 'http://localhost');
|
|
|
|
if (req.method === 'GET' && pathname === '/health') {
|
|
res.writeHead(200, { 'Content-Type': 'application/json' });
|
|
res.end(JSON.stringify({
|
|
ok: true,
|
|
hostname: os.hostname(),
|
|
uptime: Math.round(process.uptime()),
|
|
version: VERSION,
|
|
role: NODE_ROLE,
|
|
ip: getIp(),
|
|
}));
|
|
|
|
} else if (req.method === 'POST' && pathname === '/sidecar/start') {
|
|
readBody(req)
|
|
.then(body => handleSidecarStart(body, res))
|
|
.catch(() => jsonResponse(res, 400, { error: 'Invalid request body' }));
|
|
|
|
} else if (req.method === 'DELETE' && pathname.startsWith('/sidecar/')) {
|
|
const id = pathname.slice('/sidecar/'.length);
|
|
if (!id || id.includes('/')) { res.writeHead(404); return res.end(); }
|
|
handleSidecarStop(id, res);
|
|
|
|
} else if (req.method === 'GET' && /^\/sidecar\/[^/]+\/status$/.test(pathname)) {
|
|
const id = pathname.slice('/sidecar/'.length, -'/status'.length);
|
|
handleSidecarStatus(id, res);
|
|
|
|
} else if (req.method === 'GET' && pathname.startsWith('/live/')) {
|
|
serveLiveFile(pathname, res);
|
|
|
|
} else {
|
|
res.writeHead(404);
|
|
res.end();
|
|
}
|
|
});
|
|
|
|
server.listen(AGENT_PORT, () => {
|
|
console.log(`wild-dragon-node-agent v${VERSION}`);
|
|
console.log(` Listening :${AGENT_PORT}`);
|
|
console.log(` Host IP ${getIp() || '(unresolved)'}`);
|
|
console.log(` Primary ${MAM_API_URL}`);
|
|
console.log(` Role ${NODE_ROLE}`);
|
|
console.log(` Heartbeat every ${HEARTBEAT_MS / 1000}s`);
|
|
});
|