from aiofiles.os import stat as aio_stat from pydantic import BaseModel, Field, constr import xml.etree.ElementTree as ET from lib import docker_interface from typing import Dict, List from lib import utils import subprocess import speedtest import platform import aiofiles import aiohttp import asyncio import shutil import psutil import time import sys import os import re class NvidiaVersionInfo(BaseModel): driver_version: str cuda_version: str class PCIBusInfo(BaseModel): width: int = Field(None, description="The width of the PCI bus") revision: int = Field(None, description="The revision number of the PCI device", ge=0) # Example usage with None values example_pci_bus_info = PCIBusInfo() #print(example_pci_bus_info) async def get_cpu_usage(): loop = asyncio.get_running_loop() return await loop.run_in_executor(None, psutil.cpu_percent, 1) async def get_ram_usage(): loop = asyncio.get_running_loop() return await loop.run_in_executor(None, psutil.virtual_memory) def get_kernel(): return platform.uname().release def is_hive(): return "hive" in get_kernel() def drop_caches(): try: with open('/proc/sys/vm/drop_caches', 'w') as f: f.write('3\n') except Exception as e: pass def write_test(file_path, block_size, num_blocks): data = os.urandom(block_size) total_bytes = block_size * num_blocks start_time = time.time() with open(file_path, 'wb') as f: for _ in range(num_blocks): f.write(data) f.flush() os.fsync(f.fileno()) elapsed_time = time.time() - start_time write_speed = total_bytes / elapsed_time / (1024 * 1024) return write_speed, elapsed_time def read_test(file_path, block_size, num_blocks): total_bytes = block_size * num_blocks # Drop caches to avoid OS-level caching effects drop_caches() start_time = time.time() with open(file_path, 'rb') as f: for _ in range(num_blocks): data = f.read(block_size) if not data: break elapsed_time = time.time() - start_time read_speed = total_bytes / elapsed_time / (1024 * 1024) return read_speed, elapsed_time def disk_benchmark(): total, used, free = shutil.disk_usage("/") free_gb = free/1024/1024/1024 if free_gb<1: return 0,0 block_size = 1024*1024 num_blocks = 250 if free_gb < 3 else 1500 file_path="/tmp/output" print("Running disk benchmark...") print(f"Block Size: {block_size} bytes, Number of Blocks: {num_blocks}") # Run write test write_speed, write_time = write_test(file_path, block_size, num_blocks) print(f"Write Speed: {write_speed:.2f} MB/s, Time: {write_time:.2f} seconds") # Run read test read_speed, read_time = read_test(file_path, block_size, num_blocks) print(f"Read Speed: {read_speed:.2f} MB/s, Time: {read_time:.2f} seconds") # Cleanup os.remove(file_path) return float(round(write_speed,2)), float(round(read_speed,2)) def get_nvidia_version(): try: output = subprocess.check_output(['nvidia-smi', '-x', '-q'], encoding='utf-8') root = ET.fromstring(output) driver_version = root.find('driver_version').text cuda_version = root.find('.//cuda_version').text if driver_version and cuda_version: return NvidiaVersionInfo(driver_version=driver_version, cuda_version=cuda_version) else: return NvidiaVersionInfo() except Exception as e: return NvidiaVersionInfo() async def measure_internet_speed(): try: st = speedtest.Speedtest() server = st.get_best_server() country = server['cc'] loop = asyncio.get_event_loop() download_speed = await loop.run_in_executor(None, st.download) upload_speed = await loop.run_in_executor(None, st.upload) return country, download_speed/1024/1024, upload_speed/1024/1024 except Exception as e: return '',0, 0 async def disk_speed(): try: loop = asyncio.get_event_loop() write_speed, read_speed = await loop.run_in_executor(None, disk_benchmark) return write_speed, read_speed except Exception as e: print("disk benchmark exception",e) return 0, 0 async def get_country_code(): async with aiohttp.ClientSession() as session: try: # Set a timeout for the request async with session.get("https://ifconfig.io/all.json", timeout=5) as response: # Check if the request was successful if response.status == 200: data = await response.json() # Return the country code return data.get("country_code") else: return f"Error: Response status {response.status}" except asyncio.TimeoutError: return "Error: The request timed out after 5 seconds" def filter_non_numeric(input_string): return re.sub(r'[^0-9]', '', input_string) def get_disk_udevadm(mount_point='/'): try: find_mnt_return_code, find_mnt_stdout, find_mnt_stderr = utils.run_command(f"findmnt -n -o SOURCE {mount_point}") if find_mnt_return_code!=0 or find_mnt_stderr!='': return '' lsblk_return_code, lsblk_stdout, lsblk_stderr = utils.run_command(f"lsblk -no pkname {find_mnt_stdout}") if lsblk_return_code!=0 or lsblk_stderr!='': return '' if lsblk_stdout[:5]!="/dev/": lsblk_stdout=f"/dev/{lsblk_stdout}" udevadm_return_code, udevadm_stdout, udevadm_stderr = utils.run_command(f"udevadm info --query=all --name={lsblk_stdout}") if udevadm_return_code!=0 or udevadm_stderr!='': return '' return udevadm_stdout except Exception as e: return '' def get_bus_spec(bus_id): try: with open(f"/sys/bus/pci/devices/{bus_id}/current_link_speed", "r", encoding="utf-8") as file: current_link_speed = file.read().strip() with open(f"/sys/bus/pci/devices/{bus_id}/current_link_width", "r", encoding="utf-8") as file: current_link_width = file.read().strip() speed_to_rev_mapping = { "128": 7, "64": 6, "32": 5, "16": 4, "8": 3, "5.0": 2, } pci_revision = 1 # Default value current_link_width=int(current_link_width) # Iterate over the mapping and update pci_rev based on the pcie_speed for speed_pattern, rev in speed_to_rev_mapping.items(): if speed_pattern in current_link_speed: pci_revision = rev return PCIBusInfo(revision=pci_revision, width=current_link_width) except Exception as e: print(e) return PCIBusInfo() def get_gpu_info(): gpu_str = "0x Unknown" nvml_err = False gpu_mem = 0 gpus={ "nvidia":[], "amd":[] # To be implemented in future releases } valid_pci_dev_list = [] try: valid_pci_dev_list = os.listdir("/sys/bus/pci/devices") except Exception as e: pass nvidia_smi_return_code, nvidia_smi_stdout, nvidia_smi_stderr = utils.run_command(f"nvidia-smi --query-gpu=index,name,uuid,serial,memory.total --format=csv") nvidia_smi_xl_return_code, nvidia_smi_xl_stdout, nvidia_smi_xl_stderr = utils.run_command("nvidia-smi --query-gpu=timestamp,name,pci.bus_id,driver_version,pstate,pcie.link.gen.max,pcie.link.gen.current,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used --format=csv") if "Failed to initialize NVML" in nvidia_smi_stdout or "Failed to initialize NVML" in nvidia_smi_stderr or "Failed to initialize NVML" in nvidia_smi_xl_stdout or "Failed to initialize NVML" in nvidia_smi_xl_stderr: nvml_err=True elif nvidia_smi_return_code==0 and nvidia_smi_xl_return_code==0: try: lines_xl = nvidia_smi_xl_stdout.split('\n') for index, line in enumerate(lines_xl): parts = [s.strip() for s in line.split(',')] if len(parts)>12 and index>0: xl_gpu_info={ "id":index-1, "timestamp": parts[0], "name": parts[1], "pcie_bus": parts[2].split(':', 1)[1], "driver": parts[3], "pstate": parts[4], "temp": parts[7], "core_utilization": int(parts[8].replace(" %",'')), "mem_utilization": int(parts[9].replace(" %",'')), "mem_total": parts[10], "mem_free": parts[11], "mem_used": parts[12] } try: pci_query = parts[2][parts[2].find(':')+1:] for index, valid_pci_dev in enumerate(valid_pci_dev_list): if pci_query.lower() in valid_pci_dev.lower(): bus_spec = get_bus_spec(valid_pci_dev) if bus_spec.width!=None and bus_spec.revision!=None: xl_gpu_info["pcie_width"]=bus_spec.width xl_gpu_info["pcie_revision"]=bus_spec.revision except Exception as e: pass gpus["nvidia"].append(xl_gpu_info) lines = nvidia_smi_stdout.split('\n') for line in lines: parts = line.split(',') if bool(re.match(r'^[0-9]+$', parts[0])): gpu_str = f"{len(lines)-1}x {parts[1].strip()}" gpu_mem = round(int(filter_non_numeric(parts[4]).strip())/1024, 2) except Exception as e: nvml_err=True pass else: nvml_err=True return gpu_str, gpu_mem, gpus, nvml_err class DockerDaemonConfig(BaseModel): data_root: str = Field(alias="data-root") storage_driver: str = Field(alias="storage-driver") storage_opts: List[str] = Field(alias="storage-opts") class Specs: def __init__(self): self.motherboard_name_file = "/sys/devices/virtual/dmi/id/board_name" async def get(self, benchmark_internet=False, benchmark_disk=False, require_same_gpus=False): total_threads, total_cores, model_name = self.get_cpu_info() gpu_str, gpu_mem, gpus, nvml_err = get_gpu_info() if require_same_gpus: last_gpu_name='' for gpu in gpus: if not last_gpu_name: last_gpu_name=gpu["name"] elif last_gpu_name!=gpu["name"]: print("\033[31mMixed GPU machines are not allowed\033[0m") sys.exit(1) docker_daemon_config = docker_interface.get_daemon_config() disk_str="" data_root_location="main_disk" if docker_daemon_config==None or type(docker_daemon_config)!=dict: sys.exit(1) else: overlay_total_size=None disk_type="" try: validated_config = DockerDaemonConfig(**docker_daemon_config) disk_udevadm = get_disk_udevadm(validated_config.data_root) for udevadm_line in disk_udevadm.split('\n'): try: key, value=udevadm_line.split('=',1) if "id_model" in key.lower(): disk_type=value[:24] elif "devpath" in key.lower() and "/virtual/" in value: disk_type="Virtual" except Exception as e_int: pass for storage_opt in validated_config.storage_opts: if storage_opt[:14]=="overlay2.size=" and "GB" in storage_opt[14:]: numeric_size = round(float(filter_non_numeric(storage_opt[14:])), 4) overlay_total_size=numeric_size except Exception as e: pass if overlay_total_size==None: total, used, free = shutil.disk_usage("/") disk_udevadm = get_disk_udevadm("/") for udevadm_line in disk_udevadm.split('\n'): try: key, value=udevadm_line.split('=',1) if "id_model" in key.lower(): disk_type=value[:24] elif "devpath" in key.lower() and "/virtual/" in value: disk_type="Virtual" except Exception as e_int: pass disk_str = f"{disk_type} {round(free / (1024**3), 4)}GB" else: # Disk is overlay data_root_location="separate" disk_str = f"{disk_type} {overlay_total_size}GB" if benchmark_disk: disk_speeds = await disk_speed() else: disk_speeds = [0,0] response = { "mb": await self.motherboard_type(), "cpu":model_name, "cpus":f"{total_cores}/{total_threads}", "ram": self.get_ram_size(), "swap": self.get_swap_size(), "data_root_location":data_root_location, "disk": disk_str, "disk_speed": disk_speeds[1], "gpu":gpu_str, "gpuram": gpu_mem, "gpus": gpus, "nvml_error":nvml_err } if benchmark_internet: country, download_speed, upload_speed = await measure_internet_speed() if country=='': download_speed=0 upload_speed=0 possible_cc = await get_country_code() if len(possible_cc)<4: country=possible_cc response["net"]={ "cc":country, "down":download_speed, "up":upload_speed } return response async def read_file(self, file_path): try: async with aiofiles.open(file_path, mode='r') as file: contents = await file.read() return contents except Exception as e: return None async def check_file_existence(self, file_path): try: await aio_stat(file_path) return True except Exception as e: return False async def motherboard_type(self): if await self.check_file_existence(self.motherboard_name_file): motherboard_type = await self.read_file(self.motherboard_name_file) return motherboard_type.replace('\n','')[:32] if motherboard_type!=None else "Unknown" else: return "Unknown" def get_cpu_info(self): lscpu_out = subprocess.check_output(['lscpu']).decode('utf-8') threads_per_code=1 total_threads = os.cpu_count() model_name = "Unknown CPU" for line in lscpu_out.split('\n'): try: key, value = line.split(':', 1) value=value.strip(' ') #print(key,'|',value) if "model name" in key.lower(): model_name=value elif "Thread(s) per core" == key and int(value): threads_per_code=int(value) except Exception as e: pass total_cores = int(total_threads/threads_per_code) return total_threads, total_cores, model_name def get_ram_size(self): try: with open('/proc/meminfo', 'r') as f: lines = f.readlines() for line in lines: if line.startswith('MemTotal'): total_memory_kb = int(line.split()[1]) total_memory_gb = total_memory_kb / (1024) / 1000 # Convert KB to GB return round(total_memory_gb, 4) except Exception as e: return 0 def get_swap_size(self): try: with open('/proc/meminfo', 'r') as f: lines = f.readlines() for line in lines: if line.startswith('SwapTotal'): total_swap_kb = int(line.split()[1]) total_swap_gb = total_swap_kb / (1024) / 1000 # Convert KB to GB return round(total_swap_gb, 4) except Exception as e: return 0