分享

zabbix企业应用之定时获取监控数据做报表

 小果冻i 2018-11-22
#!/usr/bin/env python #coding=utf-8 #Author: Denglei #Email: dl528888@gmail.com #QQ: 244979152 import MySQLdb import datetime import xlwt import sys from email.mime.multipart import MIMEMultipart from email.mime.base import MIMEBase from email.mime.text import MIMEText from email.utils import COMMASPACE,formatdate from email import encoders import os def send_mail(server, fro, to, subject, text, files=[]): assert type(server) == dict assert type(to) == list assert type(files) == list msg = MIMEMultipart() msg['From'] = fro msg['Subject'] = subject msg['To'] = COMMASPACE.join(to) #COMMASPACE==', ' msg['Date'] = formatdate(localtime=True) msg.attach(MIMEText(text)) for f in files: part = MIMEBase('application', 'octet-stream') #'octet-stream': binary data part.set_payload(open(f, 'rb').read()) encoders.encode_base64(part) part.add_header('Content-Disposition', 'attachment; filename="%s"' % os.path.basename(f)) msg.attach(part) import smtplib smtp = smtplib.SMTP(server['name'], server['port']) smtp.ehlo() smtp.starttls() smtp.ehlo() smtp.login(server['user'], server['passwd']) smtp.sendmail(fro, to, msg.as_string()) smtp.close() def get_mysql_data(sql): cur.execute(sql) results=cur.fetchall() return results def cover_excel(msg,start_time): #wb = xlwt.Workbook() ws = wb.add_sheet(start_time,cell_overwrite_ok=True) count=len(msg) x=msg title=['时间'.encode('utf8'),'所属组'.encode('utf8'),'主机IP'.encode('utf8'),'CPU逻辑核数(单位:个)'.encode('utf8'),'CPU空闲值(单位:%)'.encode('utf8'),'可用内存值(单位:GB)'.encode('utf8'),'总内存值(单位:GB)'.encode('utf8'),'公网进入流量(单位:kbps)'.encode('utf8'),'公网流出流量(单位:kbps)'.encode('utf8')] x.insert(0,title) for j in range(0,9): for i in range(0,count): if i == 0: #ws.write(i,j,title[j].decode('utf8')) value=x[0] else: value=x[i] if isinstance(value[j],long) or isinstance(value[j],int) or isinstance(value[j],float): ws.write(i,j,value[j]) else: ws.write(i,j,value[j].decode('utf8')) #wb.save('/tmp/zabbix_log/chance_zabbix_monitor_test.xls') def run_select(start_time,end_time): get_cpu_idle_sql="select from_unixtime(hi.clock,'%%Y-%%m-%%d %%T') as Date,g.name as Group_Name,h.host as Host,round(avg(hi.value_avg),2) as Cpu_Idle from hosts_groups hg join groups g on g.groupid = hg.groupid join items i on hg.hostid = i.hostid join hosts h on h.hostid=i.hostid join trends hi on i.itemid = hi.itemid where i.key_='system.cpu.util[,idle]' and hi.clock >= UNIX_TIMESTAMP('%s 20:00:00') and hi.clock < UNIX_TIMESTAMP('%s 00:00:00') and g.name like '%%广告%%' group by h.host;"%(start_time,end_time) cpu_idle_result=get_mysql_data(get_cpu_idle_sql) get_cpu_num_sql="select from_unixtime(hi.clock,'%%Y-%%m-%%d %%T') as Date,g.name as Group_Name,h.host as Host,avg(hi.value_avg) as Cpu_Number from hosts_groups hg join groups g on g.groupid = hg.groupid join items i on hg.hostid = i.hostid join hosts h on h.hostid=i.hostid join trends_uint hi on i.itemid = hi.itemid where i.key_='system.cpu.num' and hi.clock >= UNIX_TIMESTAMP('%s 20:00:00') and hi.clock < UNIX_TIMESTAMP('%s 00:00:00') and g.name like '%%广告%%' group by h.host;"%(start_time,end_time) cpu_num_result=get_mysql_data(get_cpu_num_sql) get_mem_avai_sql="select from_unixtime(hi.clock,'%%Y-%%m-%%d %%T') as Date,g.name as Group_Name,h.host as Host,round(avg(hi.value_avg/1024/1024/1024),2) as Memory_Avaiable from hosts_groups hg join groups g on g.groupid = hg.groupid join items i on hg.hostid = i.hostid join hosts h on h.hostid=i.hostid join trends_uint hi on i.itemid = hi.itemid where i.key_='vm.memory.size[available]' and hi.clock >= UNIX_TIMESTAMP('%s 20:00:00') and hi.clock < UNIX_TIMESTAMP('%s 00:00:00') and g.name like '%%广告%%' group by h.host;"%(start_time,end_time) mem_avai_result=get_mysql_data(get_mem_avai_sql) #get_mem_free_sql="select from_unixtime(hi.clock,'%%Y-%%m-%%d %%T') as Date,g.name as Group_Name,h.host as Host,hi.value_avg/1024/1024/1024 as Memory_Avaiable from hosts_groups hg join groups g on g.groupid = hg.groupid join items i on hg.hostid = i.hostid join hosts h on h.hostid=i.hostid join trends_uint hi on i.itemid = hi.itemid where i.key_='vm.memory.size[free]' and hi.clock >= UNIX_TIMESTAMP('%s') and hi.clock < UNIX_TIMESTAMP('%s') and g.name like '%%广告%%';"%(start_time,end_time) #mem_free_result=get_mysql_data(get_mem_free_sql) get_mem_total_sql="select from_unixtime(hi.clock,'%%Y-%%m-%%d %%T') as Date,g.name as Group_Name,h.host as Host,round(avg(hi.value_avg/1024/1024/1024),2) as Memory_Total from hosts_groups hg join groups g on g.groupid = hg.groupid join items i on hg.hostid = i.hostid join hosts h on h.hostid=i.hostid join trends_uint hi on i.itemid = hi.itemid where i.key_='vm.memory.size[total]' and hi.clock >= UNIX_TIMESTAMP('%s 20:00:00') and hi.clock < UNIX_TIMESTAMP('%s 00:00:00') and g.name like '%%广告%%' group by h.host;"%(start_time,end_time) mem_total_result=get_mysql_data(get_mem_total_sql) get_em2_in_sql="select from_unixtime(hi.clock,'%%Y-%%m-%%d %%T') as Date,g.name as Group_Name,h.host as Host,round(avg(hi.value_avg/1000),2) as Network_Eth0_In from hosts_groups hg join groups g on g.groupid = hg.groupid join items i on hg.hostid = i.hostid join hosts h on h.hostid=i.hostid join trends_uint hi on i.itemid = hi.itemid where i.key_='net.if.in[em2]' and hi.clock >= UNIX_TIMESTAMP('%s 20:00:00') and hi.clock < UNIX_TIMESTAMP('%s 00:00:00') and g.name like '%%广告%%' group by h.host;"%(start_time,end_time) em2_in_result=get_mysql_data(get_em2_in_sql) get_em2_out_sql="select from_unixtime(hi.clock,'%%Y-%%m-%%d %%T') as Date,g.name as Group_Name,h.host as Host,round(avg(hi.value_avg/1000),2) as Network_Eth0_In from hosts_groups hg join groups g on g.groupid = hg.groupid join items i on hg.hostid = i.hostid join hosts h on h.hostid=i.hostid join trends_uint hi on i.itemid = hi.itemid where i.key_='net.if.out[em2]' and hi.clock >= UNIX_TIMESTAMP('%s 20:00:00') and hi.clock < UNIX_TIMESTAMP('%s 00:00:00') and g.name like '%%广告%%' group by h.host;"%(start_time,end_time) em2_out_result=get_mysql_data(get_em2_out_sql) msg=[list(i) for i in cpu_num_result] for i in msg: for ii in cpu_idle_result: if i[0] ==ii[0] and i[1] == ii[1] and i[2] == ii[2]: i[3]=int(i[3]) #msg.append([i[0],i[1],i[2],int(i[3]),ii[3]]) i.append(int(ii[3])) for iii in mem_avai_result: if i[0] ==iii[0] and i[1] == iii[1] and i[2] == iii[2]: i.append(round(float(iii[3]),2)) for iiii in mem_total_result: if i[0] ==iiii[0] and i[1] == iiii[1] and i[2] == iiii[2]: i.append(int(iiii[3])) for a in em2_in_result: if i[0] == a[0] and i[1] == a[1] and i[2] == a[2]: i.append(int(a[3])) if len(i) == 7: i.append(0) for b in em2_out_result: if i[0] == b[0] and i[1] == b[1] and i[2] == b[2]: i.append(int(b[3])) if len(i) == 8: i.append(0) cover_excel(msg,start_time) def main(): for i in range(7,0,-1): start_time=((datetime.datetime.now() - datetime.timedelta(days = i))).strftime("%Y-%m-%d") end_time=((datetime.datetime.now() - datetime.timedelta(days = i-1))).strftime("%Y-%m-%d") run_select(start_time,end_time) if __name__ == "__main__": default_encoding = 'utf-8' if sys.getdefaultencoding() != default_encoding: reload(sys) sys.setdefaultencoding(default_encoding) if os.path.exists("/tmp/zabbix_log/") is False: os.mkdir("/tmp/zabbix_log/") conn=MySQLdb.connect(host='10.10.14.19',user='zabbix',passwd='zabbix',port=3306,charset="utf8") cur=conn.cursor() conn.select_db('zabbix') wb = xlwt.Workbook() main() wb.save('/tmp/zabbix_log/chance_zabbix_monitor_hour_avg.xls') cur.close() conn.close() #follow is send mail server = {'name':'smtp.163.com', 'user':'ops_monitor', 'passwd':'xxxx', 'port':25} fro = 'xxx@163.com' to = ['xx@xx.com','244979152@qq.com'] now_time=((datetime.datetime.now() - datetime.timedelta(days = 1))).strftime("%Y/%m/%d") last_time=((datetime.datetime.now() - datetime.timedelta(days = 7))).strftime("%Y/%m/%d") subject = 'xx平台监控数据【%s-%s】'%(last_time,now_time) text = 'xx你好,附件是畅思平台最近一周每天20至24点平均值监控数据,请查收!\n有问题请联系邓磊.' files = ['/tmp/zabbix_log/chance_zabbix_monitor_hour_avg.xls'] send_mail(server, fro, to, subject, text, files=files)

    本站是提供个人知识管理的网络存储空间,所有内容均由用户发布,不代表本站观点。请注意甄别内容中的联系方式、诱导购买等信息,谨防诈骗。如发现有害或侵权内容,请点击一键举报。
    转藏 分享 献花(0

    0条评论

    发表

    请遵守用户 评论公约