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optioner

Continuous Deployment Feature Tests Build status codecov PyPI - Version Python Version from PEP 621 TOML PyPI - Wheel Dependents (via libraries.io) GitHub License GitHub last commit


Installation    |    Usage


About

Optioner is a lightweight Argument Parser and easy to use. Full documentation here

Installation

$ pip install optioner

Usage

initialization

[ Full Documentation ]

>>> from optioner import options
>>> help(options)

Help on class options in module optioner:

class options(builtins.object)
 |  options(shortargs: list, longargs: list, gotargs: list)
 |
 |  Methods defined here:
 |
 |  __init__(self, shortargs: list, longargs: list, gotargs: list, compulsory_short_args:list =[], compulsory_long_args:list =[], ignore: list[str] [], ifthisthennotthat:list[list[str]] = [[],[]])
 |      init function: This runs everytime the class is called.
 |
 |      Args:
 |          shortargs (list): example: ['h', 'l', 'i', ...]
 |          longargs (list): example: ['help', 'lock', 'init', ...]
 |          gotargs (list): sys.argv[1:]
 |          compulsory_short_args (list | optional): optional compulsory arguments
 |          compulsory_long_args (list | optional): corresponding optional compulsory arguments
 |          ignore (list[str] | optional): if these args are found, compulsion args will be overridden. (suitable if you have compulsory args and you also need --help or --version args)
 |          ifthisthennotthat (list[list[str]] | optional): if you have a condition where if a specific argument is provided, then some other argument cannot be provided.
 |
 |  ----------------------------------------------------------------------
 |  Data descriptors defined here:
 |
 |  __dict__
 |      dictionary for instance variables (if defined)
use method

after creating class object, call _argparse() method

help:

>>> help(options._argparse)

Help on function _argparse in module optioner:

_argparse(self)
    _argparse: checks all the arguments and stores error if any

    Return:
        actualargs (list): all valid args found.
        argcheck (boolean): Boolean (True: all good, False: Found undefined args)
        argerror (str): error note (if all good, no error note)
        falseargs (list): wrong args if any. (if None, empty list)

usage:

# import module
>>> from optioner import options
>>> import sys
# define short args
>>> shortargs = ['a', 'b']
# define long args
>>> longargs = ['assign', 'bind']
# create option control
>>> optionCTRL = options(shortargs, longargs, sys.argv[1:])
# get values
>>> actualargs, argcheck, argerror, falseargs = optionCTRL._argparse()

Extra features

Added a function to query argument value.

>>> help(options._what_is)

Help on function _what_is_ in module optioner:

_what_is_(self, arg: str)
    Returns the value of the argument that is passed.

    Args:
        arg (str): argument you need the value of
        count (int | optional): no of values you are expecting. Default is one

    Returns:
        str | tuple | None_: returns value of argument or None

usage:

>>> optionCTRL = options(shortargs, longargs, gotargs)
>>> args, check, error, falseargs = optionCTRL._argparse()

>>> optionCTRL._what_is_(args[0])

or 

>>> optionCTRL._what_is_(args[1])
# NOTE: if the user provided a longarg say --input, _what_is_ can be used with the corresponding shortarg, in this case it is -i, to find the value.

## For example:
optCTRL = options(shortargs, longargs, argv[1:])
args, check, error, falseargs = optCTRL._argparse()

# now it doesn't matter a longarg or a short arg is passed.
# calling _what_is_ with the shortarg or longarg will return the value.

if '-i' in args or '--input' in args:
    print(optCTRL._what_is_('i')) # or print(optCTRL._what_is_('input'))

# so if the user provided --input, if we call _what_is('i'), we can get the value.
# or if the user provided -i, we can call _what_is_('input'), to get the value.
# NOTE: this is an ease of use feature, only available for v1.5.2 and above.