乃取一葫芦置于地，以钱覆其口，徐以杓酌油沥之，自钱孔入，而钱不湿。因曰：”我亦无他，惟手熟尔。” 《卖油翁》
实现思路
主要是利用zabbix的api来对数据进行获取处理，实现思路如下：
- zabbix提供了丰富的api，可以根据此api获取zabbix得主机信息，监控项ID，监控项的趋势数据和历史数据
- 首先根据主机组ID获取组内的所有主机信息，包括主机名和IP地址
- 循环主机组内的主机ID，并在循环里再嵌套一个根据监控项键值获取监控项ID的请求
- 根据获取到的监控项ID分别获取历史数据和趋势数据
- 将历史数据和趋势数据的值写到一个字典里，并把循环之后的所有字典添加到列表中
- 将列表中的信息写入到Excel中，把脚本放到定时任务中定时执行
定义获取的时间间隔
代码语言：javascript复制x=(datetime.datetime.now()-datetime.timedelta(minutes=120)).strftime("%Y-%m-%d %H:%M:%S")
y=(datetime.datetime.now()).strftime("%Y-%m-%d %H:%M:%S")
def timestamp(x,y):
p=time.strptime(x,"%Y-%m-%d %H:%M:%S")
starttime = str(int(time.mktime(p)))
q=time.strptime(y,"%Y-%m-%d %H:%M:%S")
endtime= str(int(time.mktime(q)))
return starttime,endtime根据主机组ID获取主机信息
代码语言：javascript复制def get_hosts(groupids,auth):
data ={
"jsonrpc": "2.0",
"method": "host.get",
"params": {
"output": [ "name"],
"groupids": groupids,
"filter":{
"status": "0"
},
"selectInterfaces": [
"ip"
],
},
"auth": auth, # theauth id is what auth script returns, remeber it is string
"id": 1
}
gethost=requests.post(url=ApiUrl,headers=header,json=data)
return json.loads(gethost.content)["result"]根据获取到的主机信息构建循环，获取主机监控项的数据
获取历史数据
代码语言：javascript复制host=[]
print(hosts)
for i in hosts:
item1=[]
item2=[]
#print(i)
dic1={}
for j in ['vfs.fs.size[C:,total]','vm.memory.size[total]','system.cpu.num']:
data={
"jsonrpc": "2.0",
"method": "item.get",
"params": {
"output": [
"itemid"
],
"search": {
"key_": j
},
"hostids": i['hostid']
},
"auth":auth,
"id": 1
}
getitem=requests.post(url=ApiUrl,headers=header,json=data)
item=json.loads(getitem.content)['result']
hisdata={
"jsonrpc":"2.0",
"method":"history.get",
"params":{
"output":"extend",
"time_from":timestamp[0],
#"time_till":timestamp[1],
"history":0,
"sortfield": "clock",
"sortorder": "DESC",
"itemids": '%s' %(item[0]['itemid']),
"limit":1
},
"auth": auth,
"id":1
}
gethist=requests.post(url=ApiUrl,headers=header,json=hisdata)
hist=json.loads(gethist.content)['result']
item1.append(hist)获取趋势数据
代码语言：javascript复制for j in ['vfs.fs.size[C:,used]','vm.memory.size[used]','system.cpu.load']:
data={
"jsonrpc": "2.0",
"method": "item.get",
"params": {
"output": [
"itemid"
],
"search": {
"key_": j
},
"hostids": i['hostid']
},
"auth":auth,
"id": 1
}
getitem=requests.post(url=ApiUrl,headers=header,json=data)
item=json.loads(getitem.content)['result']
trendata={
"jsonrpc":"2.0",
"method":"trend.get",
"params":{
"output": [
"itemid",
"value_max",
"value_avg"
],
"time_from":timestamp[0],
"time_till":timestamp[1],
"itemids": '%s' %(item[0]['itemid']),
"limit":1
},
"auth": auth,
"id":1
}
gettrend=requests.post(url=ApiUrl,headers=header,json=trendata)
trend=json.loads(gettrend.content)['result']
item2.append(trend)对获取到的数据进行处理，并导出到csv文件中
代码语言：javascript复制dic1['Hostname']=i['name']
dic1['IP']=i['interfaces'][0]['ip']
dic1['磁盘C:Total(B)']=round(float(item1[0][0]['value'])/1024**3,2)
dic1['磁盘最大C:Used(B)']=round(float(item2[0][0]['value_max'])/1024**3,2)
dic1['内存Total(B)']=round(float(item1[1][0]['value'])/1024**3,2)
dic1['内存最大Used(B)']=round(float(item2[1][0]['value_max'])/1024**3,2)
dic1['内存平均used(B)']=round(float(item2[1][0]['value_avg'])/1024**3,2)
dic1['CPU负载最大值']=item2[2][0]['value_max']
dic1['CPU负载平均值']=item2[2][0]['value_avg']
dic1['CPU 核数']=item1[2][0]['value']
x = time.localtime(int(item1[2][0]['clock']))
item1[2][0]['clock'] = time.strftime("%Y-%m-%d %H:%M:%S", x)
dic1['clock']=item1[2][0]['clock']
host.append(dic1)
print(item)
print(host)
return host
def writecsv(getitem1):
with open('data.csv','w',encoding='utf-8-sig') as f:
#f.write(codecs.BOM_UTF8)
writer = csv.DictWriter(f,csvheader)
writer.writeheader()
for row in getitem1:
writer.writerow(row)实现效果如下：
完整代码可以访问github地址或者阅读原文：
代码语言：javascript复制https://github.com/sunsharing-note/zabbix/blob/master/xunjian_auto.pyzabbix API地址：
代码语言：javascript复制https://www.zabbix.com/documentation/4.0/zh/manual/api/reference/history/get
