各位用户为了找寻关于python脚本监控docker容器的资料费劲了很多周折。这里教程网为您整理了关于python脚本监控docker容器的相关资料，仅供查阅，以下为您介绍关于python脚本监控docker容器的详细内容
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：
? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90#!/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。