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This project is inspired by TeXitoi/structopt.
typed-args
is a Python package for creating command line interfaces with type annotations.
The program defines what arguments it requires, and typed-args
will figure out how to parse them out of sys.argv
.
typed-args
use standard python library argparse
and dataclasses
so no need to install any dependencies after Python 3.6.
Its API is very similar to argparse
.
What does it look like? Here is an example from argparse
docs and is rewritten with typed-args
:
import typed_args as ta
from typing import List, Callable
@ta.argument_parser(
description='Process some integers.'
)
class Args(ta.TypedArgs):
integers: List[int] = ta.add_argument(
metavar='N', type=int, nargs='+',
help='an integer for the accumulator'
)
accumulate: Callable[[List[int]], int] = ta.add_argument(
'--sum',
action='store_const',
const=sum, default=max,
help='sum the integers (default: find the max)'
)
args = Args.parse_args()
print(args.accumulate(args.integers))
Assuming the above Python code is saved into a file called prog.py
, it can be run at the command line and it provides useful help messages:
$ python prog.py -h
usage: prog.py [-h] [--sum] N [N ...]
Process some integers.
positional arguments:
N an integer for the accumulator
optional arguments:
-h, --help show this help message and exit
--sum sum the integers (default: find the max)
When run with the appropriate arguments, it prints either the sum or the max of the command-line integers:
$ python prog.py 1 2 3 4
4
$ python prog.py 1 2 3 4 --sum
10
If invalid arguments are passed in, an error will be displayed:
$ python prog.py a b c
usage: prog.py [-h] [--sum] N [N ...]
prog.py: error: argument N: invalid int value: 'a'
From pypi
pip install typed-args
If you want to use it on python 3.5 and 3.6 please install dataclasses
:
pip install dataclasses
Check _test_v0_6.py for add_argument_group
and add_subparsers
.
argparse
import argparse
parser = argparse.ArgumentParser(prog='ProgramName')
typed-args
import typed_args as ta
@ta.argument_parser(prog='ProgramName')
class Args(ta.TypedArgs):
pass
argparse
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('filename') # positional argument
parser.add_argument('-c', '--count') # option that takes a value
parser.add_argument('-v', '--verbose',
action='store_true') # on/off flag
typed-args
import typed_args as ta
@ta.argument_parser()
class Args(ta.TypedArgs):
filename: str = ta.add_argument() # positional argument, use the attribute name automatically
count: str = ta.add_argument('-c', '--count') # option that takes a value, also can be annotated as Optional[str]
verbose: bool = ta.add_argument('-v', '--verbose',
action='store_true') # on/off flag
argparse
args = parser.parse_args()
print(args.filename, args.count, args.verbose)
typed-args
args = Args.parse_args()
print(args.filename, args.count, args.verbose)
FAQs
Parse command line arguments by defining dataclasses
We found that typed-args demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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