本文实例为大家分享了python脚本监控docker容器的方法，供大家参考，具体内容如下

脚本功能：

1、监控CPU使用率

2、监控内存使用状况

3、监控网络流量

具体代码：

#!/usr/bin/env python
# --*-- coding:UTF-8 --*--
import sys
import tab
import re
import os
import time
from docker import Client
import commands
keys_container_stats_list = [\'blkio_stats\', \'precpu_stats\', \'Network\', \'read\', \'memory_stats\', \'cpu_stats\']
merit_list=[\'usage\',\'limit\',\'mem_use_percent\',\'total_cpu_usage\',\'system_cpu_usage\',\'cpu_usage_percent\',\'rx_bytes\',\'tx_bytes\']
returnval = None
def start(container_name):
  global container_stats
  conn=Client(base_url=\'unix://run/docker.sock\',version=\'1.19\')
  generator=conn.stats(container_name)
  try:
    container_stats=eval(generator.next())
  except NameError,error_msg:
    pass
#    print error_msg
    container_stats=eval(generator.next())
  finally:
    conn.close()
def monitor_docker(monitor_item,merit):
  if merit == \'mem_use_percent\':
    start(container_name)
    mem_usage = container_stats[\'memory_stats\'][\'usage\']
    mem_limit = container_stats[\'memory_stats\'][\'limit\']
    returnval = round(float(mem_usage) / float(mem_limit),2)
    print returnval
  elif merit == \'system_cpu_usage\':
    start(container_name)
    first_result = container_stats[\'cpu_stats\'][\'system_cpu_usage\']
    start(container_name)
    second_result = container_stats[\'cpu_stats\'][\'system_cpu_usage\']
    returnval = second_result - first_result
    print returnval
  elif merit == \'total_cpu_usage\':
    start(container_name)
    first_result = container_stats[\'cpu_stats\'][\'cpu_usage\'][\'total_usage\']
    start(container_name)
    second_result = container_stats[\'cpu_stats\'][\'cpu_usage\'][\'total_usage\']
    returnval = second_result - first_result
    print returnval
  elif merit == \'cpu_usage_percent\':
    start(container_name)
    system_use=container_stats[\'cpu_stats\'][\'system_cpu_usage\']
    total_use=container_stats[\'cpu_stats\'][\'cpu_usage\'][\'total_usage\']
    cpu_count=len(container_stats[\'cpu_stats\'][\'cpu_usage\'][\'percpu_usage\'])
    returnval = round((float(total_use)/float(system_use))*cpu_count*100.0,2)
    print returnval
  elif merit == \'rx_bytes\':
    command=\'\'\'docker exec -it api1 ifconfig eth1 | grep \"bytes\" | awk \'{print $2}\' | awk -F \':\' \'{print $2}\' \'\'\'
    result_one = commands.getoutput(command)
    time.sleep(1)
    command=\'\'\'docker exec -it api1 ifconfig eth1 | grep \"bytes\" | awk \'{print $2}\' | awk -F \':\' \'{print $2}\' \'\'\'
    result_second = commands.getoutput(command)
    returnval = round((int(result_second) - int(result_one))/1024,2)
    print returnval
  elif merit == \'tx_bytes\':
    command=\'\'\'docker exec -it api1 ifconfig eth1 | grep \"bytes\" | awk \'{print $6}\' | awk -F \':\' \'{print $2}\' \'\'\'
    result_one = commands.getoutput(command)
    time.sleep(1)
    command=\'\'\'docker exec -it api1 ifconfig eth1 | grep \"bytes\" | awk \'{print $6}\' | awk -F \':\' \'{print $2}\' \'\'\'
    result_second = commands.getoutput(command)
    returnval = round((int(result_second) - int(result_one))/1024,2)
    print returnval
if __name__ == \'__main__\':
  command=\'\'\'docker ps | awk \'{print $NF}\'| grep -v \"NAMES\"\'\'\'
  str=commands.getoutput(command)
  container_counts_list=str.split(\'\\n\')
  if sys.argv[1] not in container_counts_list:
    print container_counts_list
    print \"你输入的容器名称错误，请重新执行脚本，并输入上述正确的容器名称.\"
    sys.exit(1)
  else:
    container_name = sys.argv[1]
    if sys.argv[2] not in keys_container_stats_list:
      print keys_container_stats_list
      print \'你输入的容器监控项不在监控范围，请重新执行脚本，并输入上述正确的监控项.\'
      sys.exit(1)
    else:
      monitor_item = sys.argv[2]
      if sys.argv[3] not in merit_list:
        print merit_list
        print \"你输入的容器监控明细详细不在监控范围内，请重新执行脚本，并输入上述正确的明细监控指标.\"
      else:
        merit = sys.argv[3]
        monitor_docker(monitor_item,merit)

以上就是python脚本监控docker容器的全部代码，希望对大家的学习有所帮助。