python获取redis连接数等信息

# -*- coding: utf-8 -*-
__author__ = 'Administrator'
__time__ = '2018-04-28 上午 10:34'
import redis
import sys
import time

HOST='172.18.101.29'
PORT='6579'
times=5000
result_file='D://re.txt'
#HOST=sys.argv[1]
#PORT=int(sys.argv[2])
#times=int(sys.argv[3])
#result_file=(sys.argv[4])
sleep=1
title='used_memory_rss,'+'used_memory_peak,'+'used_memory,'+'mem_fragmentation_ratio,'+'instantaneous_ops_per_sec,'+'rejected_connections,'+'connected_clients,'+'blocked_clients'
def connect_redis(host,port):
    r=redis.Redis(host,port,socket_timeout=5,socket_connect_timeout=5)
    return r

def main():
    i=1
    r=connect_redis(HOST,PORT)
    refile_object=open(result_file,'a')
    try:
        r.ping()
    except:
        print(HOST,PORT,'down')
        sys.exit(1)
    print (title)
    while i <= times:
      redis_info=r.info()
      used_memory_rss=int(redis_info['used_memory_rss'])
      used_memory_peak_human=redis_info['used_memory_peak_human']
      used_men_human=redis_info['used_memory_human']
      mem_fragmentation_ratio=redis_info['mem_fragmentation_ratio']
      instantaneous_ops_per_sec=redis_info['instantaneous_ops_per_sec']
      rejected_connections=redis_info['rejected_connections']
      connected_clients=redis_info['connected_clients']
      blocked_clients=redis_info['blocked_clients']
      #print redis_info
      result=str(used_memory_rss)+',        '+str(used_memory_peak_human)+',          '+str(used_men_human)+',       '+str(mem_fragmentation_ratio)+',                   '+str(instantaneous_ops_per_sec)+',                       '+str(rejected_connections)+',                    '+str(connected_clients)+',                '+str(blocked_clients)
      i=i+1
      print (result)
      refile_object.write(result)
      refile_object.write('\n')
      time.sleep(sleep)
      if (i%10==0):
          print(title)
    refile_object.close()
if __name__ == '__main__':
   main()