Path: csiph.com!usenet.pasdenom.info!weretis.net!feeder1.news.weretis.net!feeder.erje.net!eu.feeder.erje.net!feeds.phibee-telecom.net!newsfeed.xs4all.nl!newsfeed3.news.xs4all.nl!xs4all!post.news.xs4all.nl!not-for-mail Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.000 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; 'example:': 0.03; 'else:': 0.03; 'elif': 0.05; 'subject:Python': 0.06; 'detect': 0.07; 'nested': 0.07; 'none:': 0.07; 'remaining': 0.07; 'subject:file': 0.07; 'string': 0.09; 'friday,': 0.09; 'iterate': 0.09; 'logic': 0.09; 'received:80.91': 0.09; 'received:80.91.229': 0.09; 'received:gmane.org': 0.09; 'received:list': 0.09; 'subject:parsing': 0.09; 'python': 0.11; 'def': 0.12; '%r"': 0.16; 'bugs.': 0.16; 'count.': 0.16; 'dump': 0.16; 'increment': 0.16; 'index.': 0.16; 'iterating': 0.16; 'iteration': 0.16; 'line.split()': 0.16; 'received:80.91.229.3': 0.16; 'received:dip0.t-ipconnect.de': 0.16; 'received:plane.gmane.org': 0.16; 'received:t-ipconnect.de': 0.16; 'subject:format': 0.16; 'subject:log': 0.16; 'variable.': 0.16; 'words.': 0.16; 'student': 0.16; 'wrote:': 0.18; 'code.': 0.18; 'variable': 0.18; 'split': 0.19; '>>>': 0.22; 'import': 0.22; 'reset': 0.22; 'print': 0.22; 'header:User-Agent:1': 0.23; 'comparing': 0.24; 'integer': 0.24; 'parse': 0.24; 'second': 0.26; 'header:X-Complaints-To:1': 0.27; 'tried': 0.27; 'idea': 0.28; 'thus': 0.29; 'words': 0.29; "doesn't": 0.30; 'code': 0.31; 'lines': 0.31; 'file': 0.32; 'probably': 0.32; 'another': 0.32; 'checking': 0.33; 'subject:from': 0.34; 'basic': 0.35; 'convert': 0.35; 'late': 0.35; 'test': 0.35; 'but': 0.35; 'there': 0.35; 'really': 0.36; 'consistent': 0.36; 'false': 0.36; 'doing': 0.36; 'should': 0.36; 'wrong': 0.37; 'area': 0.37; 'ends': 0.38; 'filter': 0.38; 'to:addr:python-list': 0.38; 'short': 0.38; 'does': 0.39; 'to:addr:python.org': 0.39; 'enough': 0.39; 'received:org': 0.40; 'how': 0.40; 'new': 0.61; 'matter': 0.61; 'first': 0.61; 'times': 0.62; 'email addr:gmail.com': 0.63; 'show': 0.63; 'name': 0.63; 'provide': 0.64; 'more': 0.64; 'total': 0.65; 'account': 0.65; 'here': 0.66; '20,': 0.68; '4th': 0.74; 'age': 0.80; 'counts': 0.83; '2015': 0.84; 'abc': 0.84; 'otten': 0.84; 'habit': 0.91 X-Injected-Via-Gmane: http://gmane.org/ To: python-list@python.org From: Peter Otten <__peter__@web.de> Subject: Re: Python - parsing nested information and provide it in proper format from log file Date: Fri, 20 Feb 2015 15:27:59 +0100 Organization: None References: <0097dab0-301c-42e1-a6be-b21eb5356567@googlegroups.com> <03cf1f25-b31b-4c48-96c9-be86a2ecdbc8@googlegroups.com> Mime-Version: 1.0 Content-Type: text/plain; charset="ISO-8859-1" Content-Transfer-Encoding: 7Bit X-Gmane-NNTP-Posting-Host: p57bd94d3.dip0.t-ipconnect.de User-Agent: KNode/4.13.3 X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.15 Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Newsgroups: comp.lang.python Message-ID: Lines: 147 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1424442492 news.xs4all.nl 2908 [2001:888:2000:d::a6]:50164 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:85972 jt11380@gmail.com wrote: > On Friday, February 20, 2015 at 8:11:59 AM UTC-5, Peter Otten wrote: >> Jay T wrote: >> >> > have some log file which has nested data which i want to filter and >> > provide specific for student with total counts >> > >> > Here is my log file sample: >> > Student name is ABC >> > Student age is 12 >> > student was late >> > student was late >> > student was late >> > Student name is DEF >> > student age is 13 >> > student was late >> > student was late >> > >> > i want to parse and show data as Student name, student age , number of >> > counts how many times student was late e:g Name Age TotalCount >> > ABC 12 3 >> > DEF 13 2 >> > >> > Please help me with solution that will be really grateful. >> >> What have you tried? Please show us some code. >> >> The basic idea would be to iterate over the lines and split the current >> line into words. >> >> If the second word is "name" and it's not the first iteration print the >> student's name, age, and was_late count. Then set the name variable to >> the new name and reset age and was_late to 0. To detect the first >> iteration you can set >> >> name = None >> >> before you enter the loop and then check for that value before printing: >> >> if name is not None: >> ... # print student data >> >> If the second word is "age" convert the 4th word to integer and set the >> age variable. >> >> If the second word is "was" increment the was_late counter. >> >> Remember that when the loop ends and the file was not empty you have one >> more student's data to print. > Now get stuck to get count for total_late time as it is part of name, age > so how to write logic which counts as a part of group. > > any help will be grateful. Try to write code that does what I describe in my outline. Initialise name before the loop and dump the collected data when you encounter a new name. name = None total_late = 0 age = "unknown" with open("student.txt") as instream: for line in instream: words = line.split() if words[1] == "name": if name is not None: print name, age, total_late name = " ".join(words[3:]) age = "unknown" total_late = 0 elif words[1] == "was": total_late += 1 elif words[1] == "age": age = int(words[3]) else: print "don't know what to do with line %r" %line if name is not None: print name, age, total_late Checking whole words has the advantage that there will be no match if the string "name" or "age" is part of the student's name. > I tried to implent below code and got stucked how to do nested loop to > count instead doing another logic and parsing: > > import re > def GetName(input_string): > myName=input_string.split() > myName1= myName[1] That's the wrong index. > return myName1 > def GetAge(input_string): > myAge=input_string.split() > myAge1= myAge[2] That's the wrong index. > return myAge1 In general you should test your functions independently from the whole program. That way you can build on known-good components and thus reduce the area where to look for remaining bugs. > file = open('mylogfile') > log_data = file.readlines() The file is probably short enough that it doesn't matter here, but iterating over the file directly is good habit to get into. Example: with open("mylogfile") as log_data: for eachline in log_data: ... > print 'entered' > for eachline in log_data: > input_string = eachline > if 'name' in input_string: > sometextval = GetName(input_string) > print "name", sometextval > if 'Age' in input_string: This test is problematic because Python takes case into account when comparing strings: >>> "age" == "AGE" False >>> s = "RAGE" >>> "age" in s False If case isn't consistent you should convert the string to lowercase: >>> "age" == "AGE".lower() True >>> "age" in s.lower() True > sometextval2 = GetAge(input_string) > print "Age", sometextval2 >