File size: 6,839 Bytes
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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<MacGpuResult | null> {
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<boolean> {
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;
}
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