import { NextResponse } from 'next/server'; import { exec, execSync } from 'child_process'; import { promisify } from 'util'; import { createRequire } from 'module'; import os from 'os'; const execAsync = promisify(exec); interface MacGpuResult { name: string; memUsed: number; memTotal: number; gpuLoad: number; temperature: number; fanSpeed: number; powerDraw: number; } async function getMacGpuInfo(): Promise { try { const memoryTotal = os.totalmem() / (1024 * 1024); // Get GPU name and core count from system_profiler let gpuName = 'Apple GPU'; try { const spOut = execSync( 'system_profiler SPDisplaysDataType 2>/dev/null | grep -E "Chipset Model|Total Number of Cores"', { encoding: 'utf-8', timeout: 5000 }, ); const nameMatch = spOut.match(/Chipset Model:\s*(.+)/); const coresMatch = spOut.match(/Total Number of Cores:\s*(\d+)/); if (nameMatch) { gpuName = nameMatch[1].trim(); if (coresMatch) { gpuName += ` GPU (${coresMatch[1]} cores)`; } } } catch { // fallback to generic name } let temperature = 0; let gpuLoad = 0; let fanSpeed = 0; let powerDraw = 0; let memUsed = 0; let memTotal = memoryTotal; try { // Use createRequire to hide from webpack static analysis so it doesn't fail on non-mac platforms const nativeRequire = createRequire(import.meta.url); const ms = nativeRequire('macstats') as any; try { const gpuData = ms.getGpuDataSync(); temperature = gpuData.temperature || 0; gpuLoad = gpuData.usage || 0; } catch { // ignore } try { const fanData = ms.getFanDataSync(); const fanKeys = Object.keys(fanData); if (fanKeys.length > 0) { fanSpeed = fanData[fanKeys[0]].rpm || 0; } } catch { // ignore } try { const powerData = ms.getPowerDataSync(); powerDraw = powerData.gpu || 0; } catch { // ignore } try { const ramData = ms.getRAMUsageSync(); memUsed = ramData.used / (1024 * 1024); memTotal = ramData.total / (1024 * 1024); } catch { // ignore } } catch (error) { console.warn('macstats not available:', error); } return { name: gpuName, memUsed, memTotal, gpuLoad, temperature, fanSpeed, powerDraw }; } catch { return null; } } export async function GET() { try { // Get platform const platform = os.platform(); const isWindows = platform === 'win32'; const isMac = platform === 'darwin'; if (isMac) { const macGpu = await getMacGpuInfo(); if (macGpu) { return NextResponse.json({ hasNvidiaSmi: false, isMac: true, gpus: [ { index: 0, name: macGpu.name, driverVersion: 'macOS', temperature: Math.round(macGpu.temperature), utilization: { gpu: macGpu.gpuLoad, memory: macGpu.memTotal > 0 ? Math.round((macGpu.memUsed / macGpu.memTotal) * 100) : 0, }, memory: { total: Math.round(macGpu.memTotal), free: Math.round(macGpu.memTotal - macGpu.memUsed), used: Math.round(macGpu.memUsed), }, power: { draw: macGpu.powerDraw, limit: 0 }, clocks: { graphics: 0, memory: 0 }, fan: { speed: macGpu.fanSpeed }, }, ], }); } return NextResponse.json({ hasNvidiaSmi: false, isMac: true, gpus: [], error: 'Could not read Mac GPU stats', }); } // Check if nvidia-smi is available const hasNvidiaSmi = await checkNvidiaSmi(isWindows); if (!hasNvidiaSmi) { return NextResponse.json({ hasNvidiaSmi: false, isMac: false, gpus: [], error: 'nvidia-smi not found or not accessible', }); } // Get GPU stats const gpuStats = await getGpuStats(isWindows); return NextResponse.json({ hasNvidiaSmi: true, gpus: gpuStats, }); } catch (error) { console.error('Error fetching NVIDIA GPU stats:', error); return NextResponse.json( { hasNvidiaSmi: false, isMac: false, gpus: [], error: `Failed to fetch GPU stats: ${error instanceof Error ? error.message : String(error)}`, }, { status: 500 }, ); } } async function checkNvidiaSmi(isWindows: boolean): Promise { try { if (isWindows) { // Check if nvidia-smi is available on Windows // It's typically located in C:\Program Files\NVIDIA Corporation\NVSMI\nvidia-smi.exe // but we'll just try to run it directly as it may be in PATH await execAsync('nvidia-smi -L'); } else { // Linux/macOS check await execAsync('which nvidia-smi'); } return true; } catch (error) { return false; } } async function getGpuStats(isWindows: boolean) { // Command is the same for both platforms, but the path might be different const command = 'nvidia-smi --query-gpu=index,name,driver_version,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used,power.draw,power.limit,clocks.current.graphics,clocks.current.memory,fan.speed --format=csv,noheader,nounits'; // Execute command const { stdout } = await execAsync(command, { env: { ...process.env, CUDA_DEVICE_ORDER: 'PCI_BUS_ID' }, }); // Parse CSV output const gpus = stdout .trim() .split('\n') .map(line => { const [ index, name, driverVersion, temperature, gpuUtil, memoryUtil, memoryTotal, memoryFree, memoryUsed, powerDraw, powerLimit, clockGraphics, clockMemory, fanSpeed, ] = line.split(', ').map(item => item.trim()); return { index: parseInt(index), name, driverVersion, temperature: parseInt(temperature), utilization: { gpu: parseInt(gpuUtil), memory: parseInt(memoryUtil), }, memory: { total: parseInt(memoryTotal), free: parseInt(memoryFree), used: parseInt(memoryUsed), }, power: { draw: parseFloat(powerDraw), limit: parseFloat(powerLimit), }, clocks: { graphics: parseInt(clockGraphics), memory: parseInt(clockMemory), }, fan: { speed: parseInt(fanSpeed) || 0, // Some GPUs might not report fan speed, default to 0 }, }; }); return gpus; }