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Analysing visit lengths to web site - using cache
Dictionaries example from a Well House Consultants training course
More on Dictionaries [link]

This example references the following resources:

Source code: visitors Module: Y107

""" - - [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:
) Gecko/20090807 Gentoo Firefox/3.5.2" """

# In python 3, "key = " reduces recalculation load anyway
# so no need to do the caching!

import os
import re
when = re.compile(r"(\d\d)/(\w\w\w)/(\d\d\d\d):(\d\d):(\d\d):(\d\d)")

def gelap(t_match):
        return int(t_match[0][3]) * 3600 + \
                int(t_match[0][4]) * 60 + int(t_match[0][5])

class visit:
        def __init__(self,defstring):
                self.detail = [defstring]
                self.cached = 0
        def hit(self,defstring):
                self.cached = 0
        def getcount(self):
                return (len(self.detail))
        def getduration(self):
                if self.cached:
                        return self.eltime
                self.cached = 1
                self.eltime = 0
                if len(self.detail) < 2:
                        return 0
                startinfo = when.findall(self.detail[0])
                endinfo = when.findall(self.detail[-1])
                thyme = gelap(endinfo) - gelap(startinfo)
                if thyme < -200:
                        thyme += 24 * 3600
                self.eltime = thyme
                return thyme

def byduration(this,that):
        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(" "))[0]
        if ip in visitors:
                visitors[ip] = visit(row)

places = list(visitors.keys())
        places.sort(key=lambda x:-visitors[x].getduration())

end_time = os.times()
for user in places:

Learn about this subject
This module and example are covered on the following public courses:
 * Learning to program in Python
 * Python Programming
Also available on on site courses for larger groups

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Other Examples
This example comes from our "Dictionaries" training module. You'll find a description of the topic and some other closely related examples on the "Dictionaries" module index page.

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