text file parsing

[ghazanfar]

hi,

i have text file of the form

atom_trace('emo tion_response_l evel(a1, 1.56072)', emotion_respons e_level(a1, 1.56072), [range(49, 50, true), range(0, 49, unknown)]).

and

atom_trace('got o(a1, a3)', goto(a1, a3), [range(1, 51, true), range(0, 1, unknown)]).

i heve to parse this file . Basically what i required is , i want to extract, emotion response level, range , true and . please tell, how i can parse it.

awaiting your reply.
thanks.

Ghazanfar

removed

[bvdet]

I guess ghazanfar solved his problem since he has not been back. For those of you interested, here is the code I came up with:

fname = r'your_file'
 
def atomtraceParse(fn):
    fileList = [x[x.find(")', ")+4:].replace(', aspect', '').strip() for x in open(fn).readlines()]
    dd = {}
    cnt = 0
    for item in fileList:
        itemList = item.split('), ')
        a = itemList[0].split('(')
        a1 = a[1].split(', ')
        rangeList = [eval(x.strip('[]()').split('(')[1].replace('unknown', 'False').replace('true', 'True')) for x in itemList[1:]]
        dd['rec'+str(cnt)]=dict(seed=a[0], agent=a1[0], value=float(a1[1]), ranges=[x for x in rangeList])
        cnt += 1
    return dd
 
dataDict = atomtraceParse(fname)
 
keys = dataDict.keys()
keys.sort()
for key in keys:
    for item in dataDict[key]:
        print '%s: %s = %s' % (key, item, dataDict[key][item])