python实现批处理文件_Python

python实现批处理文件

2020-07-29 00:17fanyamin Python

这篇文章主要为大家详细介绍了python实现批处理文件，文中示例代码介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们可以参考一下

Windows下的bat, linux 下的shell 用来做批处理都很好用，可惜不通用

用 Python 来做就简单多了，不过一条条写代码来调用系统命令也够烦的了
程序员都很懒, 不愿做机械无谓的重复性工作, 干脆自己实现一个.

用法超级简单, 默认会执行一个自定义的 batch.json, 按顺序一条条执行其中的步骤

									{"steps": 

									  [

									  {"step":"df -h","desc":"display disk space usage"},

									  {"step":"date","desc":"display the current dater"},

									  {"step":"time","desc":"display the current time"}

									  ]

									}

用法：

1	`python batch.py`

当然也可以指定不同的步骤文件 , 例如

1	`python batch.py xxx.json`

运行结果以markdown形式输出, 例如

									$ python batch.py

									Usage: python batch.py <batch_json_file>

									note: execute the batch.json by default

									# Execute batch.json begin

									---------------------------

									## Will execute 3 steps

									~~~~~~~~~~~~~~~~~~~~~~~~~~~

									0. [df -h]: display disk space usage

									1. [date]: display the current dater

									2. [time]: display the current time

									* 0. [df -h]: display disk space usage

									Filesystem             Size  Used Avail Capacity iused  ifree %iused Mounted on

									/dev/disk1             233Gi 208Gi  24Gi  90% 54622825 6364694  90%  /

									devfs               329Ki 329Ki  0Bi  100%  

									* 1. [date]: display the current dater

									Thu Mar 3 22:50:21 CST 2016

									* 2. [time]: display the current time

									real  0m0.001s

									user  0m0.000s

									sys 0m0.000s

									## Done the following steps

									~~~~~~~~~~~~~~~~~~~~~~~~~~~

									0. [df -h]: display disk space usage

									1. [date]: display the current dater

									# Execute batch.json end.

Python源代码如下, 希望有人能用得上

									'''

									  like bat file, execute the steps in batch.json 

									'''

									import os,sys,subprocess

									import time,thread

									import codecs

									import json

									from datetime import datetime

									from subprocess import call

									from pprint import pprint

									def execute_json(json_file):

									  print "# Execute {0} begin\n---------------------------".format(json_file)

									  json_data=open(json_file)

									  data = json.load(json_data)

									  cnt = len(data['steps'])

									  i = 0

									  print "\n## Will execute {0} steps \n~~~~~~~~~~~~~~~~~~~~~~~~~~~".format(cnt)

									  for i in range(0, cnt):

									      print "{0}. [{1}]: {2}".format(i, data['steps'][i]['step'], data['steps'][i]['desc'])

									  #pprint(data)

									  #print("cnt=", cnt)

									  for i in range(0, cnt):

									    cmd = data['steps'][i]['step']

									    desc = data['steps'][i]['desc']

									    print "\n* {0}. [{1}]: {2} ".format(i, cmd, desc)

									    if(cmd.startswith('cd')):

									      cmd = cmd.replace("cd ", "")

									      os.chdir(cmd)

									    else:

									      ret = os.system(cmd)

									      if(ret != 0):

									        print "Encounter error of step {0}. {1}, error code={2}".format(i, cmd, ret)

									        break

									  print "\n## Done the following steps\n~~~~~~~~~~~~~~~~~~~~~~~~~~~"

									  for j in range(0, i):

									    print "{0}. [{1}]: {2}".format(j, data['steps'][j]['step'], data['steps'][j]['desc'])  

									  json_data.close()

									  print "# Execute {0} end.".format(json_file)

									if __name__ == "__main__":

									  argc = len(sys.argv)

									  step_file = 'batch.json'

									  if( argc > 1):

									    idx = 1

									    while(idx < argc):

									      step_file = sys.argv[idx]

									      execute_json(step_file)

									      idx = idx + 1

									  else:

									    print "Usage: python {0} <batch_json_file>".format(sys.argv[0])

									    print "note: execute the batch.json by default"

									    execute_json(step_file)