Analysing visit lengths to web site - using cache
Dictionaries example from a Well House Consultants training course
More on Dictionaries [link]
Source code: visitors Module: Y107
""" 184.108.40.206 - - [12/Aug/2009:03:30:28 +0100] "GET /for
line-Text.html HTTP/1.1" 200 74635 "http://www.google.com/se
qi=g-s1" "Mozilla/5.0 (X11; U; Linux i686; en-US; rv:220.127.116.11
) Gecko/20090807 Gentoo Firefox/3.5.2" """
# In python 3, "key = " reduces recalculation load anyway
# so no need to do the caching!
when = re.compile(r"(\d\d)/(\w\w\w)/(\d\d\d\d):(\d\d):(\d\d):(\d\d)")
return int(t_match) * 3600 + \
int(t_match) * 60 + int(t_match)
self.detail = [defstring]
self.cached = 0
self.cached = 0
self.cached = 1
self.eltime = 0
if len(self.detail) < 2:
startinfo = when.findall(self.detail)
endinfo = when.findall(self.detail[-1])
thyme = gelap(endinfo) - gelap(startinfo)
if thyme < -200:
thyme += 24 * 3600
self.eltime = thyme
r1 = visitors[this].getduration()
r2 = visitors[that].getduration()
return r2 - r1
start_time = os.times()
fh = open("ac_20161222")
visitors = dict()
for row in fh:
ip = (row.split(" "))
if ip in visitors:
visitors[ip] = visit(row)
places = list(visitors.keys())
end_time = os.times()
for user in places:
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* Learning to program in Python
* Python Programming
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