因此,我设法阅读了您的文本并将其转换为 python 中的字典。这很简单。您基本上必须按照以下方式做一些事情:
conFigFile=open('./config.txt')
data=dict()
record=0
for line in conFigFile:
if line.find('edit')>=0:
record=int(line.replace('edit',''))
data[record]={}
if line.find('set')>=0:
line=line.replace('set','')
line=line.strip()
print line
key,val=line.split(' ')
data[record][key]=val
conFigFile.close()
这将生成一个字典,然后允许您进行如下调用:
>>> data[1]['nat']
'enable'
>>> data[1].keys()
['nat', 'service', 'schedule', 'central-nat', 'srcaddr', 'av-profile', 'dstintf', 'srcintf', 'action', 'dstaddr', 'utm-status']
所以现在可以生成一个csv文件:
csvFile=open('./data.csv','w')
records=data.keys()
for record in records:
values=data[record].keys()
valList=['Record',str(record)]
for val in values:
valList.append(val)
valList.append(data[record][val])
csvFile.write(",".join(valList))
csvFile.close()
生成 csv 文件:
Record,1,nat,enable,service,"ANY",schedule,"always",central-nat,enable,srcaddr,"all",av-profile,"default",dstintf,"port25",srcintf,"port26",action,accept,dstaddr,"all",utm-status,enable
如果您真的想计算行前的空格,可以执行以下操作:
>>> a=' test: one '
>>> a.count(' ') #count all spaces
11
>>> (len(a) - len(a.lstrip())) #count leading spaces
5