Tool_CheckGPUsWeb/client.py

import os
import json
import time
import psutil
import requests
import subprocess

# region get data

# 获取显卡相关信息
def get_gpus_info(error_dict):
    result_list = list()

    try:
        gpus_info = json.load(os.popen('gpustat --json'))
        for gpu_info in gpus_info['gpus']:  
            # 处理一下
            gpu_name = gpu_info['name']
            gpu_name = gpu_name.replace('NVIDIA ', '').replace('GeForce ', '')
            process_list = list()
            for process_info in gpu_info['processes']:
                process_list.append({
                    "user": process_info['username'],
                    "memory": process_info['gpu_memory_usage'],
                    "cmd": ' '.join(process_info["full_command"])
                })
            
            # 加到list中
            result_list.append({
                "idx": gpu_info['index'],
                "name": gpu_name,
                "temperature": gpu_info['temperature.gpu'],
                "used_memory": gpu_info['memory.used'],
                "total_memory": gpu_info['memory.total'],
                "utilization": gpu_info['utilization.gpu'],
                "process_list": process_list
            })
    except Exception as e:
        error_dict['gpu'] = e
    
    return result_list

# 获取cpu相关信息
cpu_name = None
def get_cpu_info(error_dict):
    result_dict = dict()
    
    try:
        # 获取cpu型号
        global cpu_name
        def get_cpu_name():
            if cpu_name == None:
                import re
                # 执行lscpu命令并获取输出
                result = subprocess.run(['lscpu'], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
                output = result.stdout
                
                # 使用正则表达式匹配“Model name”或“型号名称”
                model_name_match = re.search(r'Model name\s*:\s*(.+)', output)
                if model_name_match:
                    return model_name_match.group(1).strip()
                else:
                    # 如果没有找到“Model name”，则尝试匹配“型号名称”
                    model_name_match_cn = re.search(r'型号名称\s*：\s*(.+)', output)
                    if model_name_match_cn:
                        return model_name_match_cn.group(1).strip()
                    else:
                        return "CPU型号信息未找到"
            else:
                return cpu_name
        cpu_name = get_cpu_name()
        
        # 获取每个cpu的温度
        temperature_list = list()
        temperatures = psutil.sensors_temperatures()
        if 'coretemp' in temperatures:
            for entry in temperatures['coretemp']:
                if entry.label.startswith('Package'):
                    temperature_list.append(entry.current)
        
        # 记录信息
        result_dict["name"] = cpu_name
        result_dict["temperature_list"] = temperature_list
        result_dict["core_avg_occupy"] = psutil.cpu_percent(interval=None, percpu=False)
        result_dict["core_occupy_list"] = psutil.cpu_percent(interval=None, percpu=True)
        
    except Exception as e:
        error_dict['cpu'] = e
    
    return result_dict

# 获取存储相关信息
def get_storages_info(error_dict, path_list):
    result_list = list()
    try:
        for target_path in path_list:
            data = subprocess.run(['df', target_path, '|', 'grep', target_path], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True).stdout
            data = data.split('\n')[1].split()
            tmp_res = {
                "path": target_path,
                "total": int(data[1]),
                "available": int(data[3])
            }
            result_list.append(tmp_res)
    except Exception as e:
        error_dict['storage'] = e

    return result_list
    
# 获取内存相关信息
def get_memory_info(error_dict):
    result_dict = dict()
    try:
        mem = psutil.virtual_memory()
        result_dict["total"] = mem.total / 1024
        result_dict["used"] = mem.used / 1024
    except Exception as e:
        error_dict['memory'] = e

    return result_dict

# 获取网络相关信息
def get_networks_info(error_dict):
    # net_io = psutil.net_io_counters()
    # print(net_io)
    # todo
    pass

# endregion

client_cfg = None

def collect_data():
    result_dict = dict()
    error_dict = dict()
    
    # 根据设置采集信息
    if 'gpu' in client_cfg['enable']:
        result_dict['gpu_list'] = get_gpus_info(error_dict)
    if 'cpu' in client_cfg['enable']:
        result_dict['cpu'] = get_cpu_info(error_dict)
    if 'storage' in client_cfg['enable']:
        result_dict['storage_list'] = get_storages_info(error_dict, client_cfg['storage_list'])
    if 'memory' in client_cfg['enable']:
        result_dict['memory'] = get_memory_info(error_dict)
    if 'network' in client_cfg['enable']:
        result_dict['network_list'] = get_networks_info(error_dict)
    
    # 记录其他信息
    result_dict['update_time_stamp'] = int(time.time())
    result_dict['error_dict'] = error_dict
    result_dict['note'] = client_cfg['note']
    result_dict['title'] = client_cfg['title']
    result_dict['interval'] = client_cfg['interval']

    return result_dict

def main():
    # 加载配置文件
    cfg_path = "client_config.json"
    global client_cfg
    with open(cfg_path, 'r') as f:
        client_cfg = json.load(f)
    
    # 持续发送
    send_interval = client_cfg['interval']
    api_url = client_cfg['server_url'] + '/api/update_data'
    while True:
        data = collect_data()
        try:
            requests.post(api_url, json=data)
        except Exception as e:
            print(e)
        time.sleep(send_interval)

if __name__ == '__main__':
    main()