用途
用户将文本文件解析为结构化的内容
https://github.com/google/textfsm/wiki/TextFSM
案例研究
比如将linux中进程内存的smaps解析为csv
每一块内存为
7fc84255c000-7fc842560000 rw-s 100573000 00:06 383 /dev/dri/card0
Size: 16 kB
KernelPageSize: 4 kB
MMUPageSize: 4 kB
Rss: 0 kB
Pss: 0 kB
Shared_Clean: 0 kB
Shared_Dirty: 0 kB
Private_Clean: 0 kB
Private_Dirty: 0 kB
Referenced: 0 kB
Anonymous: 0 kB
LazyFree: 0 kB
AnonHugePages: 0 kB
ShmemPmdMapped: 0 kB
Shared_Hugetlb: 0 kB
Private_Hugetlb: 0 kB
Swap: 0 kB
SwapPss: 0 kB
Locked: 0 kB
VmFlags: rd wr sh mr mw me ms io de dd sd mm
模板例子
要解析该文本,先完成一个解析模板,一个解析模板的例子如下:
# define values
Value Filldown ProcessName (.+)
Value Begin ([0-9a-fA-F]+)
Value End ([0-9a-fA-F]+)
Value Size (\d+)
Value KernelPageSize (\d+)
Value MMUPageSize (\d+)
Value Rss (\d+)
Value Pss (\d+)
Value Shared_Clean (\d+)
Value Shared_Dirty (\d+)
Value Private_Clean (\d+)
Value Private_Dirty (\d+)
Value Referenced (\d+)
Value Anonymous (\d+)
Value LazyFree (\d+)
Value AnonHugePages (\d+)
Value ShmemPmdMapped (\d+)
Value Shared_Hugetlb (\d+)
Value Private_Hugetlb (\d+)
Value Swap (\d+)
Value SwapPss (\d+)
Value Locked (\d+)
Value VmFlags ((\w|\s)+)
# Allway starts in 'Start' state.
Start
^@@@@@${ProcessName}@@@@@ -> Record Item
# A state transition was not strictly necessary but helpful for the example.
Item
^${Begin}\-${End}
^MMUPageSize:\s+${MMUPageSize} kB
^Rss:\s+${Rss} kB
^Pss:\s+${Pss} kB
^Shared_Clean:\s+${Shared_Clean} kB
^Shared_Dirty:\s+${Shared_Dirty} kB
^Private_Clean:\s+${Private_Clean} kB
^Private_Dirty:\s+${Private_Dirty} kB
^Referenced:\s+${Referenced} kB
^Anonymous:\s+${Anonymous} kB
^LazyFree:\s+${LazyFree} kB
^AnonHugePages:\s+${AnonHugePages} kB
^ShmemPmdMapped:\s+${ShmemPmdMapped} kB
^Shared_Hugetlb:\s+${Shared_Hugetlb} kB
^Private_Hugetlb:\s+${Private_Hugetlb} kB
^Swap:\s+${Swap} kB
^SwapPss:\s+${SwapPss} kB
^Locked:\s+${Locked} kB
^VmFlags:\s*${VmFlags} -> Record Item
# An implicit EOF state outputs the last record.
模板-组成部分1:Value定义
该模板分为两个部分,第一部分是定义表中有哪些字段。
定义一个字段,三个部分:
①以Value开头,
②一些选项,
③字段名称
④字段匹配的正则表达式
image.png
# define values
Value Filldown ProcessName (.+)
Value Begin ([0-9a-fA-F]+)
Value End ([0-9a-fA-F]+)
Value Size (\d+)
Value KernelPageSize (\d+)
Value MMUPageSize (\d+)
Value Rss (\d+)
Value Pss (\d+)
Value Shared_Clean (\d+)
Value Shared_Dirty (\d+)
Value Private_Clean (\d+)
Value Private_Dirty (\d+)
Value Referenced (\d+)
Value Anonymous (\d+)
Value LazyFree (\d+)
Value AnonHugePages (\d+)
Value ShmemPmdMapped (\d+)
Value Shared_Hugetlb (\d+)
Value Private_Hugetlb (\d+)
Value Swap (\d+)
Value SwapPss (\d+)
Value Locked (\d+)
Value VmFlags ((\w|\s)+)
模板-组成部分2:FSM
模板第二部分是一个FSM(有限自动状态机)
①状态名称
②每一个状态下有若干条状态规则,状态规则有一个表达式组成,
③每一条规则可以填充一个或多个Value字段。填充采用${字段名称}方式
④规则后面可以跟一个->,完成状态跳转和记录操作
# Allway starts in 'Start' state.
Start
^@@@@@${ProcessName}@@@@@ -> Record Item
# A state transition was not strictly necessary but helpful for the example.
Item
^${Begin}\-${End}
^MMUPageSize:\s+${MMUPageSize} kB
^Rss:\s+${Rss} kB
^Pss:\s+${Pss} kB
^Shared_Clean:\s+${Shared_Clean} kB
^Shared_Dirty:\s+${Shared_Dirty} kB
^Private_Clean:\s+${Private_Clean} kB
^Private_Dirty:\s+${Private_Dirty} kB
^Referenced:\s+${Referenced} kB
^Anonymous:\s+${Anonymous} kB
^LazyFree:\s+${LazyFree} kB
^AnonHugePages:\s+${AnonHugePages} kB
^ShmemPmdMapped:\s+${ShmemPmdMapped} kB
^Shared_Hugetlb:\s+${Shared_Hugetlb} kB
^Private_Hugetlb:\s+${Private_Hugetlb} kB
^Swap:\s+${Swap} kB
^SwapPss:\s+${SwapPss} kB
^Locked:\s+${Locked} kB
^VmFlags:\s*${VmFlags} -> Record Item
# An implicit EOF state outputs the last record.
一个Python脚本
import textfsm
import os
from optparse import OptionParser
usage = '''将一个txt文件转换为csv文件'''
par = OptionParser(usage=usage)
par.add_option("-s","--src",action = "store",type = "string",dest = "src")
par.add_option("-d","--dst",action = "store",type = "string",dest = "dst")
par.add_option("-t","--template",action = "store",type = "string",dest = "template")
(opt,args) = par.parse_args()
src = opt.src
dst = opt.dst
tmp = opt.template
if src and dst and tmp and os.path.isfile(src) and os.path.isfile(tmp):
txt=''
with open(src,'r+') as f: txt = f.read()
with open(tmp,'r+') as f: fsm = textfsm.TextFSM(f)
data = fsm.ParseText(txt)
w = open(dst,'w+')
w.write( ', '.join(fsm.header)+'\n' )
for row in data:
w.write( ', '.join(row) +'\n')
w.close()
else:
print('src or tmplate not exist!')
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