我建议使用docopt作为其他选项的简单替代。

Docopt是一个新的项目，它通过解析您的——help使用消息来工作，而不是要求您自己实现所有内容。您只需将您的使用消息放入POSIX格式。

正如你所看到的，optparse模块已被弃用，不会再进一步开发;argparse模块将继续开发。”

标准库中的规范解决方案是argparse (docs):

这里有一个例子:

from argparse import ArgumentParser

parser = ArgumentParser()
parser.add_argument("-f", "--file", dest="filename",
                    help="write report to FILE", metavar="FILE")
parser.add_argument("-q", "--quiet",
                    action="store_false", dest="verbose", default=True,
                    help="don't print status messages to stdout")

args = parser.parse_args()

Argparse支持(除其他外):

任意顺序的多个选项。 选择做空和做多。 默认值。 生成使用帮助消息。

我们的一些生物技术客户最近提出了这两个问题:

如何将Python脚本作为命令执行? 当Python脚本作为命令执行时，我们如何将输入值传递给它?

我在下面附上了一个Python脚本，我相信它可以回答这两个问题。让我们假设下面的Python脚本保存在test.py文件中:

#
#----------------------------------------------------------------------
#
# file name: test.py
#
# input values: data  - location of data to be processed
#               date  - date data were delivered for processing
#               study - name of the study where data originated
#               logs  - location where log files should be written 
#
# macOS usage: 
#
#   python3 test.py "/Users/lawrence/data" "20220518" "XYZ123" "/Users/lawrence/logs"
#
# Windows usage: 
#
#   python test.py "D:\data" "20220518" "XYZ123" "D:\logs"
#
#----------------------------------------------------------------------
#
# import needed modules...
#
import sys
import datetime

def main(argv):

   #
   # print message that process is starting...
   #
   print("test process starting at", datetime.datetime.now().strftime("%Y%m%d %H:%M"))

   #
   # set local values from input values...
   #
   data = sys.argv[1]
   date = sys.argv[2]
   study = sys.argv[3]
   logs = sys.argv[4]

   #
   # print input arguments...
   #
   print("data value is", data)
   print("date value is", date)
   print("study value is", study)
   print("logs value is", logs)

   #
   # print message that process is ending...
   #
   print("test process ending at", datetime.datetime.now().strftime("%Y%m%d %H:%M"))

#
# call main() to begin processing...
#

if __name__ == '__main__':

   main(sys.argv)

该脚本可以在macOS计算机上的Terminal shell中执行，如下所示，结果将被打印到标准输出(确保当前目录包括test.py文件):

$ python3 test.py "/Users/lawrence/data" "20220518" "XYZ123" "/Users/lawrence/logs"
test process starting at 20220518 16:51
data value is /Users/lawrence/data
date value is 20220518
study value is XYZ123
logs value is /Users/lawrence/logs
test process ending at 20220518 16:51

该脚本也可以在Windows计算机上的命令提示符中执行，如下所示，结果将被打印到标准输出(确保当前目录包括test.py文件):

D:\scripts>python test.py "D:\data" "20220518" "XYZ123" "D:\logs"
test process starting at 20220518 17:20
data value is D:\data
date value is 20220518
study value is XYZ123
logs value is D:\logs
test process ending at 20220518 17:20

这个脚本回答了上面提出的两个问题，并且是开发将作为带有输入值的命令执行的脚本的一个很好的起点。

同样在python3中，你可能会发现使用Extended Iterable Unpacking来处理可选的位置参数很方便，没有额外的依赖关系:

try:
   _, arg1, arg2, arg3, *_ = sys.argv + [None] * 2
except ValueError:
   print("Not enough arguments", file=sys.stderr) # unhandled exception traceback is meaningful enough also
   exit(-1)

上面的argv解包使arg2和arg3成为“可选的”——如果在argv中没有指定它们，它们将是None，而如果没有指定第一个，ValueError将被解析:

Traceback (most recent call last):
  File "test.py", line 3, in <module>
    _, arg1, arg2, arg3, *_ = sys.argv + [None] * 2
ValueError: not enough values to unpack (expected at least 4, got 3)

import sys

# Command line arguments are stored into sys.argv
# print(sys.argv[1:])

# I used the slice [1:] to print all the elements except the first
# This because the first element of sys.argv is the program name
# So the first argument is sys.argv[1], the second is sys.argv[2] ecc

print("File name: " + sys.argv[0])
print("Arguments:")
for i in sys.argv[1:]:
    print(i)

让我们把这个文件命名为command_line.py，然后运行它:

C:\Users\simone> python command_line.py arg1 arg2 arg3 ecc
File name: command_line.py
Arguments:
arg1
arg2
arg3
ecc

现在让我们写一个简单的程序sum.py:

import sys

try:
    print(sum(map(float, sys.argv[1:])))
except:
    print("An error has occurred")

结果:

C:\Users\simone> python sum.py 10 4 6 3
23