使用python以下格式解析文件的最佳方法(防错/万无一失)是什么？

最好的方法是使用现有格式,如JSON.

这是您的格式的示例解析器:

from lepl import (AnyBut, Digit, Drop, Eos, Integer, Letter,
                  NON_GREEDY, Regexp, Space, Separator, Word)

# EBNF
# name = ( letter | "_" ) , { letter | "_" | digit } ;
name = Word(Letter() | '_',
            Letter() | '_' | Digit())
# words = word , space+ , word , { space+ , word } ;
# two or more space-separated words (non-greedy to allow comment at the end)
words = Word()[2::NON_GREEDY, ~Space()[1:]] > list
# value = integer | word | words  ;
value = (Integer() >> int) | Word() | words
# comment = "#" , { all characters - "\n" } , ( "\n" | EOF ) ;
comment = '#' & AnyBut('\n')[:] & ('\n' | Eos())

with Separator(~Regexp(r'\s*')):
    # statement = name , "=" , value ;
    statement = name & Drop('=') & value > tuple
    # suite     = "{" , { comment | statement } , "}" ;
    suite     = Drop('{') & (~comment | statement)[:] & Drop('}') > dict
    # block     = name , suite ;
    block     = name & suite > tuple
    # config    = { comment | block } ;
    config    = (~comment | block)[:] & Eos() > dict

from pprint import pprint

pprint(config.parse(open('input.cfg').read()))

输出:

[{'block1': {'othervalue': 32423432,
             'some_value': ['some', 'other', 'kind', 'of', 'data'],
             'value': 'data'},
  'block2': {'othervalue': 32423432,
             'some_value': ['some', 'other', 'kind', 'of', 'data'],
             'value': 'data'}}]