Python grabs the traffic graph of cacti

   has a functional requirement to crawl the traffic graph of yesterday's whole day on cacti every day, and make a table of min, max and average traffic on the traffic graph and send it by e-mail. (python2.7.5)

   1. Modules to be used

#! / usr/bin/env python#-*- coding: UTF-8-*-import time,datetime,cookielib,requests,sys,re,urllib2,urllib,socket,csv,heapqimport smtplibimport mimetypesimport timefrom email.mime.text import MIMETextfrom email.mime.multipart import MIMEMultipartfrom email.mime.base import MIMEBasefrom email import encodersfrom email.MIMEImage import MIMEImagedefault_encoding = 'utf-8'if sys.getdefaultencoding ()! = default_encoding: reload (sys)

   2. Login function of cacti

Def Login1 (): socket.setdefaulttimeout (10) global headers headers= {} cj = cookielib.CookieJar () global opener opener = urllib2.build_opener (urllib2.HTTPCookieProcessor (cj)) # cacti account password data = urllib.urlencode ({'action':'login','login_username':'admin') 'login_password':'123456'}) # Open the cacti home page page = urllib2.Request ("http://100.0.102.3/index.php", data, headers) # crawl page data html = opener.open (page). Read () # if there is a graph_settings.php link in the page data Indicates that the login is successful (return 1), otherwise the login fails (return 0) if re.findall ("graph_settings.php", html): return 1 else: return 0

   3. Define a few more functions that need to be used

# convert date to time stamp (start and end times need to be specified for cacti image URL) def datetime_timestamp (dt): time.strptime (dt,'% Y-%m-%d% HV% MV% S') s = time.mktime (time.strptime (dt,'% Y-%m-%d% HV% MV% S') return int (s) # convert bit to Gbit/Mbit/Kbit (the difference between levels is 1000 times) Keep 2 decimal places) def tobit (x): if x > = 1000000000: return str (round (xmab 1000000000 else 2)) +'G' elif x > = 1000000: return str (round (xhammer 1000000lance 2)) +'M 'elif x > = 1000: return str (round (xapwise 1000000 else 2)) +' K'else: return str (xMagne2))

   4. Start grabbing the picture and csv (as shown below, the blue download arrow on the right of the picture is csv).

Try: # if the login is successful if Login1 () = = 1: # the start time of the traffic graph, yesterday's 00:00:00 start_time=str (datetime_timestamp ((datetime.datetime.today ()-datetime.timedelta (days=1)). Strftime ('% Y-%m-%d 00start_time=str ('% Y-%m-%d 00start_time=str () # the end time of the traffic graph Today's 00:00:00 end_time=str (datetime_timestamp (datetime.datetime.today (). Strftime ('% Y-%m-%d 0000) # Traffic graph URL for the whole day yesterday (2687 is picture id) url1= "http://100.0.102.3/graph_image.php?action=zoom&local_graph_id=2687&rra_id=0&view_type=&graph_start="+start_time+"& Graph_end= "+ end_time # download pictures Save to local request = urllib2.Request (url1, None, headers) res = opener.open (request) .read () f=open ("/ myftpdir/2687.png" "wb") f.write (res) f.close () # download the csv corresponding to the picture (used to read values such as max, min, etc.) url2= "http://100.0.102.3/graph_xport.php?local_graph_id=2687&rra_id=0&view_type=&graph_start="+start_time+"&graph_end="+end_time request = urllib2.Request (url2, None) Headers) res = opener.open (request). Read () f=open ("/ myftpdir/2687.csv", "wb") f.write (res) f.close () # read the csv file f=open ('/ myftpdir/2687.csv' 'rb') reader = csv.reader (f) # csv saves the average upload (outbound) and download (inbound) rate every 5 minutes (288 lines) Generate 2 lists to store all upload and download rates inbounds= [] outbounds= [] nuplo0 for row in reader: # Lines 11 to 298 of the table are if n > = 10 and n