python脚本监控hyperledger fabric区块高度、共识时延信息

python脚本通过监控docker容器日志监控hyperledger fabric区块高度、共识时延信息

1. 查看节点的具体容器ID

    docker inspect --format="{{.Id}}" container_name
    // 以peer0 为例
     docker inspect --format="{{.Id}}" peer0.org1.example.com   
   

2. 找到该容器日志所在文件位置（一般在/var/lib/docker/containers下）

3. 编写python监控脚本

#!/usr/bin/python
# encoding=utf-8
# Filename: monitorLog.py
# www.jbxue.com
import MySQLdb
import os
import re
import signal
import subprocess
import time
//脚本写入mysql数据库
db = MySQLdb.connect("127.0.0.1","root","123456","数据库名",charset = 'utf8')
cursor = db.cursor()
//.log 文件名
logFile1 = "ad649153d0d3cc924418e7e6e242699c0c0e9e5b8ae619a20e92b96ae-json.log"
def monitorLog(logFile):
    print '监控的日志文件 是%s' % logFile
    popen = subprocess.Popen('tail -f ' + logFile +'| grep --line-buffer "CommitWithPvtData"', stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
    pid = popen.pid
    print('Popen.pid:' + str(pid))
    while True:
        line =popen.stdout.readline()
        # 判断内容是否为空
        if line:
            relist = []
            redict = {}
            strs = str(line)
            pattern = 'block [[0-9]+]'
            ret = re.search(pattern, strs)
            //区块高度
            number = filter(str.isdigit, ret.group())
            pattern = '[0-9]+-[0-9]+-[0-9]+ [0-9]+:[0-9]+:[0-9]+.[0-9]+'
            ret = re.search(pattern, strs)
            //出块时间
            data = ret.group()
            pattern2 = '(state_validation=[0-9]+ms block_commit=[0-9]+ms state_commit=[0-9]+ms)'
            ret = re.search(pattern2, strs)
            blocktime= re.findall(r'\d+', ret.group())
            //state_validation时间
            redict["state_validation"] = int(blocktime[0])
            //block_commit时间
            redict["block_commit"] = int(blocktime[1])
            //state_commit时间
            redict["state_commit"] = int(blocktime[2])
            //总时间
            redict["total"] = int(blocktime[0]) + int(blocktime[1]) + int(blocktime[2])
            sql = "INSERT INTO log(data,total,pattern) VALUES (\'%s\', \'%s\',\'%s\')" % (
            str(data), str(number), blocktime[0] + " " + blocktime[1] + " " + blocktime[2])
            cursor.execute(sql)
            db.commit()


if __name__ == '__main__':
    monitorLog(logFile1)

4. 通过nohup 。。。。。& 命令后台运行

nohup  python log.py  &
或者  python log.py  &

5. 通过ps -aux 后台json并关闭

	ps -aux | grep "log.py"