前言
随着站点的增多,管理复杂性也上来了,俗话说:人多了不好带,我发现站点多了也不好管,因为这些站点里有重要的也有不重要的,重要核心的站点当然就管理的多一些,像一些万年都不出一次问题的,慢慢就被自己都淡忘了,冷不丁那天出个问题,还的手忙脚乱的去紧急处理,所以规范的去管理这些站点是很有必要的,今天我们就做第一步,不管大站小站,先统一把监控做起来,先不说业务情况,最起码那个站点不能访问了,要第一时间报出来,别等着业务方给你反馈,就显得我们不够专业了,那接下来我们看看如果用python实现多网站的可用性监控,脚本如下:
#!/usr/bin/env python
import pickle, os, sys, logging
from httplib import HTTPConnection, socket
from smtplib import SMTP
def email_alert(message, status):
fromaddr = 'xxx@163.com'
toaddrs = 'xxxx@qq.com'
server = SMTP('smtp.163.com:25')
server.starttls()
server.login('xxxxx', 'xxxx')
server.sendmail(fromaddr, toaddrs, 'Subject: %srn%s' % (status, message))
server.quit()
def get_site_status(url):
response = get_response(url)
try:
if getattr(response, 'status') == 200:
return 'up'
except AttributeError:
pass
return 'down'
def get_response(url):
try:
conn = HTTPConnection(url)
conn.request('HEAD', '/')
return conn.getresponse()
except socket.error:
return None
except:
logging.error('Bad URL:', url)
exit(1)
def get_headers(url):
response = get_response(url)
try:
return getattr(response, 'getheaders')()
except AttributeError:
return 'Headers unavailable'
def compare_site_status(prev_results):
def is_status_changed(url):
status = get_site_status(url)
friendly_status = '%s is %s' % (url, status)
print friendly_status
if url in prev_results and prev_results[url] != status:
logging.warning(status)
email_alert(str(get_headers(url)), friendly_status)
prev_results[url] = status
return is_status_changed
def is_internet_reachable():
if get_site_status('www.baidu.com') == 'down' and get_site_status('www.sohu.com') == 'down':
return False
return True
def load_old_results(file_path):
pickledata = {}
if os.path.isfile(file_path):
picklefile = open(file_path, 'rb')
pickledata = pickle.load(picklefile)
picklefile.close()
return pickledata
def store_results(file_path, data):
output = open(file_path, 'wb')
pickle.dump(data, output)
output.close()
def main(urls):
logging.basicConfig(level=logging.WARNING, filename='checksites.log',
format='%(asctime)s %(levelname)s: %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
pickle_file = 'data.pkl'
pickledata = load_old_results(pickle_file)
print pickledata
if is_internet_reachable():
status_checker = compare_site_status(pickledata)
map(status_checker, urls)
else:
logging.error('Either the world ended or we are not connected to the net.')
store_results(pickle_file, pickledata)
if __name__ == '__main__':
main(sys.argv[1:])
脚本核心点解释:
1、getattr()是python的内置函数,接收一个对象,可以根据对象属性返回对象的值。
2、compare_site_status()函数是返回的是一个内部定义的函数。
3、map() ,需要2个参数,一个是函数,一个是序列,功能就是将序列中的每个元素应用函数方法。
总结
以上就是这篇文章的全部内容,有需要的朋友们可以参考借鉴。