python统计mysql数据量变化并调用接口告警

#!/usr/bin/python
# coding=utf-8
import pymysql as mdb
import os
import sys
import requests
import json


tar_conn = mdb.connect(host='192.168.56.128',port=3306,user='xxx',passwd='xxx123',db='bak_db')
tar_cur = tar_conn.cursor()

v_sql_dt =" SELECT DATE_FORMAT(CURRENT_DATE(),'%Y-%m-%d')t1 ,DATE_FORMAT(SUBDATE(CURRENT_DATE(),INTERVAL 1 DAY),'%Y-%m-%d')t2,DATE_FORMAT(SUBDATE(CURRENT_DATE(),INTERVAL 1 WEEK),'%Y-%m-%d')t3,DATE_FORMAT(SUBDATE(CURRENT_DATE(),INTERVAL 1 MONTH),'%Y-%m-%d %H:%i:00')t4"
v_extract_rows=tar_cur.execute(v_sql_dt)
v_res=tar_cur.fetchone()
v_dt1=v_res[0]
v_dt2=v_res[1]
v_dt3=v_res[2]
v_dt4=v_res[3]

print  v_dt1,v_dt2,v_dt3,v_dt4
#v_start_time='2020-09-10'
#v_end_time='2020-09-11'
def get_cnt(v_dt):

    v_sql1="select  tb_rows  from bak_db.tb_size   where  dt='%s';"%(v_dt)

    v_extract_rows=tar_cur.execute(v_sql1)
    v_res=tar_cur.fetchone()
    v_cnt1=v_res[0]

    return(v_cnt1)

(v_cnt_now)=get_cnt(v_dt1)
(v_cnt_1d)=get_cnt(v_dt2)
(v_cnt_1w)=get_cnt(v_dt3)
(v_cnt_1m)=get_cnt(v_dt4)

def f_notify(v_cnt_now,v_cnt_before,v_message):
    v_rate1=abs(((v_cnt_before-v_cnt_now)*1.00/v_cnt_before*1.00)*100)

#    print v_rate1,v_rate2
    if  (v_rate1>100 ) and  (v_cnt_now>500 or v_cnt_before>500) :
        v_level=1
        v_list=[v_message,',','当前量：',str(v_cnt_now),',','前期量：',str(v_cnt_before)]
        v_message1=''.join(v_list)
        print v_message1
        url = 'http://192.168.56.128:9000/api/v1/alarm'                               # 接口地址
        body ={"level": v_level, "group": ["dba"], "msg": {"content": v_message1}} 
        headers = {'content-type': "application/json"}                             # 如有认证信息，添加认证信息即可，例如'Authorization': 'APP appid = xxx,token = xxxxxxxxxxxxxxxx'
        response = requests.post(url, data = json.dumps(body), headers = headers)  # body是json格式的，用 json.dumps(body)方式进行处理
        print response.text
        print response.status_code
            

f_notify(v_cnt_now,v_cnt_1d,'数据量与前一天相比波动超过100%')
f_notify(v_cnt_now,v_cnt_1w,'数据量与前一周相比波动超过100%')
f_notify(v_cnt_now,v_cnt_1m,'数据量与前一月相比波动超过100%')



tar_conn.close()