Reading lines from a document and storing certain lines in a dictionary/array

I have a file I am reading lines from. using python 3.7

The file is automated, so the format of the file looks like this:


    Computer #1 - gaming 
       spec 1 = something 
       spec 2 = something 
       spec 3 = something
       other stuff = sadas 
    computer #2 - coding 
       spec 1 = something 
       spec 2 = something 
       spec 3 = something 
       other stuff = sadas
    computer #n - etc 
       spec 1 = something 
       spec 2 = something 
       spec 3 = something 
       other stuff = sadas

I want the info to be stored into a dictionar/array:

data = { "computer #1": [sepc1,spec2,spec3],"computer #2": [sepc1,spec2,spec3], "computer #n": [sepc1,spec2,spec3] }

lines = file_read.readlines()
for line in lines: 
    if 'computer #' in line: 
    data[line] = []
if 'spec1' in line:
    # here I want to add that value/line to the the first key/value such that: 
    # data['computer #1'].append(line)
    # data['computer #2'].append(line)
    # data['computer #n'].append(line)

the file I have is big and has relevant information. The lines above are just to illustrate what I am dealing with

I tried adding a counter every time we find the key word (computer #). but I wasn't sure how to check the status of the counter change so that I can add all of the "found/needed" lines (specs) into the array.

spent too much time trying to solve this. Thanks for the help.

CodePudding user response：

If spec is likely to occur in lines with "other stuff" (as part of a string or another word), it might be safer to use regex to match against the spec \d = pattern:

import re
data = {}

with open("file.txt", 'r') as f:
    for l in f.readlines():
        if 'computer #' in l:
            key = l.split('-')[0].strip()
            data[key] = []
        elif re.search(r'spec \d  =', l):
            val = l.split('=')[0].strip()
            data[key].append(val)

print(data)

Output:

{'computer #1': ['spec 1', 'spec 2', 'spec 3'], 'computer #2': ['spec 1', 'spec 2', 'spec 3'], 'computer #n': ['spec 1', 'spec 2', 'spec 3']}