python根据nagios配置文件将监控的服务联系人等信息导出到excel表格
前阵子，遇到需要把nagios监控的服务统计到表格的需求，想着如果每一次改动，都要去维护表格的话，难免会有疏漏或者问题，于是观察了nagios的host.cfg,services.cfg等配置文件写了一个脚本，包含对多个主机关联到同一个服务的处理等，脚本也有局限性，就是需要把每个主机，都归类到某个组，比如Linux主机归类到Linux组，实际环境，一般也是有这样做归类的，脚本运行过程中会有文件产生，但都很小，以下是相应模块安装和脚本文件，建议在测试机上面跑完再到实际环境跑。
一，安装xlsxwriter
一个excel操作模块，可以操作多个工作表的文字、数字、公式、图表等。
pip安装方法：
#pip install XlsxWriter
源码安装方法（需下载）
#tar -zxvf XlsxWriter-master.tar.gz
#cd XlsxWriter-master
#python setup.py install
二，脚本文件：
import xlsxwriter
import sys
reload(sys)
sys.setdefaultencoding('utf8')
#注意路径
os.system("cat /usr/local/nagios/etc/hosts.cfg | grep -E 'host_name|address|hostgroups' | \
sed s/[[:space:]]// | awk '{print $1,$2,$3}' | sed -e 's/[[:space:]]$//g' > /root/autocount/hostip")
#####################处理一行多个host_name情况########################
os.system("cat /usr/local/nagios/etc/services.cfg | grep -E 'host_name|service_description|contacts'|sed s/[[:space:]]// | \
awk '{print $1,$2,$3,$4,$5,$6}' | sed -e 's/[[:space:]]*$//g' | sed -e 's/,[[:space:]]/,/g' > /root/autocount/serviceip2")
#含有完整行的文件，及host_name都有的
os.system("cat /usr/local/nagios/etc/services.cfg | grep 'host_name' | sed s/[[:space:]]// | awk '{print $2,$3,$4,$5,$6}' | sed s/[[:space:]]//g | awk '/,/{print $0}' > /root/autocount/serviceip1")
os.system("sort -u /root/autocount/serviceip1 > /root/autocount/serviceip3")
#去除重复行
with open("/root/autocount/serviceip3") as f3:
#a中保存有一行多个host_name的主机
a=f3.readlines()
with open("/root/autocount/serviceip2") as f4:
b=f4.readlines()
j=0
for i in a:
k = i.strip('\n').split(',')
l=3
while j < len(k):
print k[j]
for m in b:
if k[j] in m :
#b中的某一行含有一行多主机中的一个主机
print k[j]
if i in m :
b.insert(len(b),'host_name '+k[j]+'\n')
l=0
#插入到最后，然后进入下一次的for m in b，即往后面继续for了，就到下面的那个service_description,设置l是把最近的service_description同contacts加入到b的后面，而不是所有。
if 'service_description' in m and l <= 2:
print m
#此时的len(b)是加入了一个host_name之后的，所以会继续往后insert
b.insert(len(b),m)
if 'contacts' in m and l <= 2:
print m
b.insert(len(b),m)
l+=1
j+=1
l=3
j=0
testfile = open("/root/autocount/testfile",'w')
for bb in b:
print >> testfile,bb,
testfile.close()
#此时testfile中还是含有长主机名的，即多个主机在配置文件中显示为同一行的(关联服务)
jiji=0
for i in a:
try:
while True:
ind = b.index("host_name "+i)
b.pop(ind)
b.pop(ind)
b.pop(ind)
print "###############"
jiji+=1
except:
continue
#利用a中先前存的类似host1,host2,host3这样关联的主机，从b中剔除。
print "jiji is %s " % jiji
finall = open("/root/autocount/serviceip",'w')
for kk in b:
print >> finall,kk,
finall.close()
#关闭保存文件，现在就是不存在类似多个主机名的行了。
file1="/root/autocount/hostip"
file2="/root/autocount/serviceip"
f = open("/root/autocount/joinout",'w')
final = open("/root/autocount/final",'w')
f1=file(file1,"r")
j=0
totalhost=0
for i in f1.readlines():
totalhost+=1
print >> f,i,
f2=file(file2,"r")
m = 2
for k in f2.readlines():
if i == k : #先判断是否主机名相等，要不如果serviceip文件服务无联系人，就会出现错乱
print "testtesttest"
m = 0
continue
elif m < 2 and ('host_name' not in k):
print >> f,k,
m+=1
else:
m = 2
continue
f1.close()
f2.close()
f.close()
totalhost=totalhost/3
with open("/root/autocount/joinout") as f:
a=f.readlines()
linen=0
con=[]
totalservice=0
for i in a:
if 'service_description' in i:
totalservice+=1
con.append(linen)
linen+=1
else:
linen+=1
print con
m=1
#处理一些没有contacts的情况
for j in con:
if 'contacts' not in a[j+m]:
a.insert(j+m,'contacts none\n')
m+=1
for x in a:
print >> final,x,
title = [u'序列号',u'host',u'ip',u'service',u'联系人',u'所属部门']
workbook = xlsxwriter.Workbook('Nagios监控信息统计.xlsx')
worksheet = workbook.add_worksheet()
worksheet.set_column('A:C',30)
worksheet.set_column('D:F',30)
worksheet.set_column('H:I',10)
#worksheet.set_row(3,30)
#worksheet.set_row(6,30)
#worksheet.set_row(7,30)
merge_format = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#CC0033'})
merge_format1 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#D7E4BC'})
bold = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter'})
merge_format2 = workbook.add_format({
# 'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter'})
format_title=workbook.add_format()
format_title.set_border(1)
format_title.set_bg_color('#cccccc')
format_title.set_align('center')
worksheet.merge_range('A1:F1','Nagios监控信息',merge_format)
worksheet.merge_range('H1:I1','主机总计 服务总计',merge_format1)
worksheet.write('H2',totalhost,bold)
worksheet.write('I2',totalservice,bold)
worksheet.write_row('A2',title,format_title)
#######################################
service_list=[]
count = 0
slist_end = 0
initline=3
def writetoexecl(numb,host,ip,group,service_list):
global initline
global slist_end
slist_len=str(len(service_list))
initl=str(initline)
slist_end = int(initl) + int(slist_len) - 1
slist_end1=str(slist_end)
#一行的就调用write方法
if initl == slist_end1:
worksheet.write('A'+initl,numb,merge_format2)
worksheet.write('B'+initl,host,merge_format2)
worksheet.write('C'+initl,ip,merge_format2)
worksheet.write('F'+initl,group,merge_format2)
else:
worksheet.merge_range('A'+initl+':'+'A'+slist_end1,numb,merge_format2)
worksheet.merge_range('B'+initl+':'+'B'+slist_end1,host,merge_format2)
worksheet.merge_range('C'+initl+':'+'C'+slist_end1,ip,merge_format2)
worksheet.merge_range('F'+initl+':'+'F'+slist_end1,group,merge_format2)
servicell = initl
# 输出服务和联系人
for element in service_list:
print '++++++++'
service1=''.join(element.keys())
contacts1=''.join(element.values())
worksheet.write('D'+servicell,service1,merge_format2)
worksheet.write('E'+servicell,contacts1,merge_format2)
servicell = str(int(servicell) + 1)
print '++++++++'
#worksheet.merge_range('A50:A60',num,merge_format)
#print initl
#print slist_end1
initline = int(initl) + int(slist_len)
for i in a:
service_dict={}
#定义字典存放服务和联系人
if 'host_name' in i:
host=i.split()[1]
print host
if 'service_description' in i:
key=i.split()[1]
service_dict[key]=''
if 'contacts' in i:
service_dict[key]=i.split()[1]
#print service_dict
service_list.append(service_dict)
#print service_list
if 'address' in i:
ip = i.split()[1]
print ip
if 'hostgroups' in i:
groups = i.split()[1]
print service_list
print groups
count += 1
writetoexecl(count,host,ip,groups,service_list)
service_list=[]
continue
workbook.close()
统计的效果如下：