CODEWITHSUNDEEP
pythonparsingtext-files
user46646
user46646

Reputation: 159261

Parse a .txt file

I have a .txt file like:

Symbols from __ctype_tab.o:

Name                  Value   Class        Type         Size     Line  Section

__ctype             |00000000|   D  |       OBJECT   |00000004|     |.data
__ctype_tab         |00000000|   r  |       OBJECT   |00000101|     |.rodata


Symbols from _ashldi3.o:

Name                  Value   Class        Type         Size     Line  Section

__ashldi3           |00000000|   T  |       FUNC      |00000050|     |.text

How can i parsr this file and get the functions with type FUNC ? Also,from this txt how can i parse and extract .o name ?

How can i get them by column wise parsing or else how.

I need an immediate help...Waiting for an appropriate solution as usual

Upvotes: 1

Views: 14076

Answers (3)

PyNEwbie
PyNEwbie

Reputation: 4940

I think this might cost less than the use of regexes though i am not totally clear on what you are trying to accomplish

symbolList=[]
for line in open('datafile.txt','r'):
if '.o' in line:
    tempname=line.split()[-1][0:-2]
            pass

if 'FUNC' not in line:
    pass

else:
    symbolList.append((tempname,line.split('|')[0]))

I have learned from other posts it is cheaper and better to wrap up all of the data when you are reading through a file the first time. Thus if you wanted to wrap up the whole datafile in one pass then you could do the following instead

fullDict={}
for line in open('datafile.txt','r'):
    if '.o' in line:
        tempname=line.split()[-1][0:-2]
    if '|' not in line:
        pass
    else:
        tempDict={}
            dataList=[dataItem.strip() for dataItem in line.strip().split('|')]
            name=dataList[0].strip()
            tempDict['Value']=dataList[1]
            tempDict['Class']=dataList[2]
            tempDict['Type']=dataList[3]
            tempDict['Size']=dataList[4]
            tempDict['Line']=dataList[5]
            tempDict['Section']=dataList[6]
            tempDict['o.name']=tempname
            fullDict[name]=tempDict
            tempDict={}

Then if you want the Func type you would use the following:

funcDict={}
for record in fullDict:
    if fullDict[record]['Type']=='FUNC':
        funcDict[record]=fullDict[record]

Sorry for being so obsessive but I am trying to get a better handle on creating list comprehensions and I decided that this was worthy of a shot

Upvotes: 4

JasonSmith
JasonSmith

Reputation: 73702

Here is a basic approach. What do you think?

# Suppose you have filename "thefile.txt"
import re

obj = ''
for line in file('thefile.txt'):
    # Checking for the .o file
    match = re.search('Symbols from (.*):', line)
    if match:
        obj = match.groups()[0]

    # Checking for the symbols.
    if re.search('|', line):
        columns = [x.strip() for x in a.split('|')]
        if columns[3] == 'FUNC':
            print 'File %s has a FUNC named %s' % (obj, columns[0])

Upvotes: 2

Alex Martelli
Alex Martelli

Reputation: 881497

for line in open('thefile.txt'):
  fields = line.split('|')
  if len(fields) < 4: continue
  if fields[3].trim() != 'FUNC': continue
  dowhateveryouwishwith(line, fields)

Upvotes: 9

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