Python获取android设备cpu占用情况

 

1. 1.功能：获取android设备中某一个app的cpu和内存

2. 2.环境：python和adb

3. 3.使用方法：使用adb连接android设备，打开将要测试的app，执行cpu/内存代码

4. 4cpu获取代码如下：（输入参数为脚本执行时间）

   # coding:utf-8
   '''
   获取系统total cpu
   '''
   import os, csv
   import time
   import csv
   import numpy as np
   from matplotlib import pyplot as plt
   cpu_list = []
   time_list = []
   app_list = []
   lines = []
   package_name = []
   # 读取进程名称（包名）
   def get_applist():
   global package_name
   with open('config/director.txt', encoding='utf-8', mode='r') as f:
   lines_all = f.readlines()
   for appname in lines_all:
   package_name1 = appname
   appname_new = appname[0:15]
   package_name.append(package_name1)
   lines.append(appname_new)
   for line in lines:
   app_list.append(line.strip())
   # 获取cpu数值
   def get_cpu():
   global filename
   with open(filename, encoding="utf-8", mode="r") as f:
   lines = f.readlines()
   for appname in app_list:
   for lis in lines:
   # 适配低版本手机
   if appname in lis and '%' in lis:
   now = time.strftime("%H:%M:%S", time.localtime())
   time_list.append(now)
   cpu_1 = lis.split('%')[0]
   cpu_2 = cpu_1.split(' ')
   # print(cpu_2)
   cpu = cpu_2[len(cpu_2) - 1]
   print(cpu, now)
   cpu_list.append(cpu)
   break
   # 适配高版本手机
   elif appname in lis:
   now = time.strftime("%H:%M:%S", time.localtime())
   time_list.append(now)
   cpu1 = lis.split(' ')
   # print(cpu1)
   cpu2 = list(set(cpu1))
   cpu2.sort(key=cpu1.index)
   cpu_h = cpu2[len(cpu2) - 4]
   print(cpu_h, now)
   cpu_list.append(cpu_h)
   break
   else:
   pass
   # csv头部
   def write_head():
   headers = ['name:']
   headers.append(app_list[0])
   headers.append('init_cpu')
   with open('log_su/cpuinfo.csv', 'w+', newline='') as csvfile:
   writer = csv.DictWriter(csvfile, fieldnames=headers)
   writer.writeheader()
   # 将数值写入csv，用于绘图时读取
   def write_report():
   # headers = ['name', 'aaa', 'init_cpu']
   with open('log_su/cpuinfo.csv', 'a+', newline='') as csvfile:
   writer = csv.writer(csvfile)
   for key in cpu_list:
   writer.writerow([' ', ' ', key])
   # 绘制折线图，生成测试报告
   def mapping():
   filename = 'log_su/cpuinfo.csv'
   with open(filename) as f:
   reader = csv.reader(f)
   header_row = next(reader)
   highs = []
   for row in reader:
   high = row[2]
   highs.append(high)
   # print(highs)
   wights = time_list
   highs_float = list(map(float, highs))
   # print(f"****{highs}")
   print(f"CPU值：{highs_float}")
   # 输出平均值
   total = 0
   for value in highs_float:
   total += value
   average = round(total/len(highs_float), 2)
   print(f"CPU平均值：{average}")
   #输出最低值和最高值
   highs_hl = sorted(highs_float)
   print(f"CPU最低值：{highs_hl[0]}")
   print(f"CPU最高值：{highs_hl[len(highs_hl)-1]}")
   # 根据数据绘制图形
   plt.figure(figsize=(11, 4), dpi=600)
   # 生成网格
   # plt.grid()
   plt.grid(axis="y")
   # 折线图
   if package_name[0] == 'com.oneapp.max.security.pro.cn':
   plt.plot(wights, highs_float, "c-", linewidth=1, label="PPP")
   elif package_name[0] == 'com.oneapp.max.cn':
   plt.plot(wights, highs_float, "c-", linewidth=1, label="Opt1.6.1")
   elif package_name[0] == 'com.boost.clean.coin.cn':
   plt.plot(wights, highs_float, "c-", linewidth=1, label="Fastclear")
   elif package_name[0] == 'com.walk.sports.cn':
   plt.plot(wights, highs_float, "c-", linewidth=1, label="Walk")
   elif package_name[0] == 'com.diamond.coin.cn':
   plt.plot(wights, highs_float, "c-", linewidth=1, label="Amber")
   elif package_name[0] == 'com.oneapp.max.cleaner.booster.cn':
   plt.plot(wights, highs_float, "c-", linewidth=1, label="Space")
   else:
   plt.plot(wights, highs_float, "c-", linewidth=1, label=package_name[0])
   # 坐标轴范围
   # plt.ylim(300, 400)
   # plt.xlim(0, 10)
   plt.xlabel('time(H:Min:S)', fontsize=16)
   plt.ylabel("cpu_realtime(%)", fontsize=16)
   plt.title("cpu real time line chart", fontsize=24)
   plt.legend()
   # 横坐标显示间隔
   if len(wights) <= 15:
   pass
   else:
   t = int(len(wights) / 15)
   plt.xticks(range(0, len(wights), t))
   # 纵坐标显示间隔
   # plt.yticks(range(100, 300, 10))
   # 旋转日期
   plt.gcf().autofmt_xdate()
   # 展示每个坐标
   # for a, b in zip(wights, highs_float):
   #     plt.text(a, b, (a, b), ha='center', va='bottom', fontsize=8)
   # plt.show()
   time_now = time.strftime("%m%d-%H:%M:%S", time.localtime())
   path = "report/" + time_now
   plt.savefig(path)
   # 自动识别当前需检测的
   def name_app():
   cmd = 'adb shell dumpsys window | grep mCurrentFocus > log_su/name_info.csv'
   os.system(cmd)
   with open('log_su/name_info.csv', encoding='utf-8', mode='r') as f:
   lines = f.readlines()
   for line in lines:
   if 'mCurrentFocus' in line:
   name1 = line.split('/')[0].split(' ')
   name = name1[len(name1) - 1]
   with open('config/director.txt', encoding='utf-8', mode='w') as f_name:
   text = name
   f_name.write(text)
   print(f"将要监测的包名为：{text}")
   #控制监测时间
   def time_control():
   global filename
   while True:
   end_time = time.time()
   if (end_time - start_time)/60 >= tol_time:   #分钟
   # if end_time - start_time >= tol_time:  # 秒
   break
   time.sleep(1)
   adb = "adb shell top -n 1 > log_su/adb_info.csv"
   d = os.system(adb)
   filename = "log_su/adb_info.csv"
   get_cpu()
   if __name__ == "__main__":
   name_app()
   tol_time = int(input("请输入脚本执行时间(分钟)："))
   start_time = time.time()
   get_applist()
   write_head()
   time_control()
   write_report()
   mapping()

会在.py文件同级目录下生成3个文件夹，config、log_su、report，其中运行结果在report中​