import { exec, spawn } from 'child_process';

const delay = ms => new Promise(res => setTimeout(res, ms));

async function runTest(modelArgs, name) {
    console.log(`\n===========================================`);
    console.log(`Testing: ${name}`);
    console.log(`Args: ${modelArgs}`);
    
    return new Promise(async (resolve) => {
        // Kill existing
        await new Promise(r => exec('taskkill /F /IM llama-server.exe', r));
        await delay(2000);

        const server = spawn('llama_bin_run\\llama-server.exe', modelArgs.split(' '), {
            detached: true,
            stdio: 'ignore' 
        });

        let ready = false;
        let oom = false;
        
        for (let i = 0; i < 40; i++) {
            try {
                const res = await fetch('http://127.0.0.1:8000/health', { timeout: 2000 });
                if (res.status === 200) {
                    ready = true;
                    break;
                }
            } catch (e) {}
            await delay(3000);
        }

        if (!ready) {
            console.log(`[${name}] FAILED TO BOOT (Likely OOM)`);
            exec('taskkill /F /IM llama-server.exe');
            resolve({ success: false });
            return;
        }

        console.log(`[${name}] Server Ready! Running benchmark...`);
        // Run pptest
        exec('node scripts/quick_pptest.mjs', (err, stdout, stderr) => {
            console.log(stdout || stderr);
            
            // Extract TG and PP from TG-500
            const tgMatch = stdout.match(/TG-500 \| PP:\d+tok \d+\.\dt\/s \| TG:\d+tok (\d+\.\d+)t\/s/);
            const ppMatch = stdout.match(/10K-CODE \| PP:\d+tok (\d+\.\d+)t\/s/);
            
            const tg = tgMatch ? parseFloat(tgMatch[1]) : 0;
            const pp = ppMatch ? parseFloat(ppMatch[1]) : 0;
            
            exec('taskkill /F /IM llama-server.exe');
            resolve({ success: true, tg, pp });
        });
    });
}

async function main() {
    // 1. Qwen 35B Tuning: We need 70 t/s. Let's try 1-3 layers of n-cpu-moe to unlock ub=512
    const args35B_base = `--model models\\Qwen3.5-35B-A3B-Q4_K_M.gguf -ngl 999 -c 262144 -np 1 -fa on --cache-type-k q4_0 --cache-type-v q4_0 -b 512 -t 6 -tb 6 --prio 3 --fit off --port 8000 --host 0.0.0.0`;
    
    // Test 1: n-cpu-moe 1, ub 512
    await runTest(`${args35B_base} -ub 512 --n-cpu-moe 1`, "Qwen-35B: moe=1, ub=512");
    
    // Test 2: n-cpu-moe 2, ub 512
    await runTest(`${args35B_base} -ub 512 --n-cpu-moe 2`, "Qwen-35B: moe=2, ub=512");

    // Test 3: n-cpu-moe 4, ub 512
    await runTest(`${args35B_base} -ub 512 --n-cpu-moe 4`, "Qwen-35B: moe=4, ub=512");
    
    // 2. 122B Tuning: Find optimal n-cpu-moe
    const args122B_base = `--model models\\Q4_K_M\\Qwen3.5-122B-A10B-Q4_K_M-00001-of-00003.gguf -ngl 999 -c 32768 -np 1 -fa on --cache-type-k q4_0 --cache-type-v q4_0 -ub 512 -b 2048 -t 6 -tb 6 --prio 3 --fit off --port 8000 --host 0.0.0.0`;
    
    // Since 48 leaves 16GB free, each layer is ~1.5GB total, meaning ~0.75GB per GPU.
    // Let's try 38, 35, 30
    await runTest(`${args122B_base} --n-cpu-moe 38`, "Qwen-122B: moe=38");
    await runTest(`${args122B_base} --n-cpu-moe 30`, "Qwen-122B: moe=30");
    await runTest(`${args122B_base} --n-cpu-moe 22`, "Qwen-122B: moe=22");

    console.log("Tuning finished.");
}

main();
