用Python模拟服务器指标数据采集并写入GaussDB（for Influx）时序数据库

#!/usr/bin/python3

# -*- coding: UTF-8 -*-

import time
import random
from influxdb import InfluxDBClient
#模拟对CPU和内存的采集过程

while True:
    cpu_used_rate = round(random.random(),2)
    mem_used_rate = random.randint(200000,250000)
    json_body = [ 
    {   
        "measurement": "my_tab",
        "tags": {
            "host": "server01",
            "region": "us-west"
        },  
        "time": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.localtime()),
        "fields": {
            "used_cpu": cpu_used_rate,
            "used_mem": mem_used_rate
        }   
    }]
    print( json_body )
    client = InfluxDBClient(host='localhost', port=8635, username='rwuser', password='password', database='telegraf', ssl=True, verify_ssl=False)
    client.write_points(json_body)
    
    time.sleep( 10 )