telemetry.py

import os
import psutil
import platform
import torch
from typing import Dict, Any, Optional

def get_cpu_name() -> str:
    # Attempt model name read on Linux
    try:
        with open("/proc/cpuinfo", "r") as f:
            for line in f:
                if "model name" in line:
                    return line.split(":")[1].strip()
    except Exception:
        pass
    proc = platform.processor()
    return proc if proc else "Intel(R) Xeon(R) CPU"

def get_system_ram_mb() -> float:
    try:
        process = psutil.Process(os.getpid())
        return process.memory_info().rss / (1024 * 1024)
    except Exception:
        return 0.0

def get_gpu_vram_mb() -> Optional[float]:
    if torch.cuda.is_available():
        try:
            return torch.cuda.memory_allocated() / (1024 * 1024)
        except Exception:
            return 0.0
    return None

def get_gpu_name() -> Optional[str]:
    if torch.cuda.is_available():
        try:
            return torch.cuda.get_device_name(0)
        except Exception:
            return "NVIDIA GPU"
    return None

def get_gpu_total_memory_mb() -> Optional[float]:
    if torch.cuda.is_available():
        try:
            return torch.cuda.get_device_properties(0).total_memory / (1024 * 1024)
        except Exception:
            return 0.0
    return None

def get_hardware_info() -> Dict[str, Any]:
    return {
        "device_type": "gpu" if torch.cuda.is_available() else "cpu",
        "device_name": get_cpu_name(),
        "cpu_count": psutil.cpu_count(logical=True),
        "system_ram_mb": int(psutil.virtual_memory().total / (1024 * 1024)),
        "gpu_name": get_gpu_name(),
        "gpu_vram_mb": get_gpu_total_memory_mb()
    }