In Python, how can we find out the command line arguments that were provided for a script, and process them?
For some more specific examples, see Implementing a "[command] [action] [parameter]" style command-line interfaces? and How do I format positional argument help using Python's optparse?.
import sys
print("\n".join(sys.argv))
sys.argv is a list that contains all the arguments passed to the script on the command line. sys.argv[0] is the script name.
Basically,
import sys
print(sys.argv[1:])
The canonical solution in the standard library is argparse (docs):
Here is an example:
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 supports (among other things):
Multiple options in any order.
Short and long options.
Default values.
Generation of a usage help message.
Just going around evangelizing for argparse which is better for these reasons.. essentially:
(copied from the link)
argparse module can handle positional
and optional arguments, while
optparse can handle only optional
arguments
argparse isn’t dogmatic about
what your command line interface
should look like - options like -file
or /file are supported, as are
required options. Optparse refuses to
support these features, preferring
purity over practicality
argparse produces more
informative usage messages, including
command-line usage determined from
your arguments, and help messages for
both positional and optional
arguments. The optparse module
requires you to write your own usage
string, and has no way to display
help for positional arguments.
argparse supports action that
consume a variable number of
command-line args, while optparse
requires that the exact number of
arguments (e.g. 1, 2, or 3) be known
in advance
argparse supports parsers that
dispatch to sub-commands, while
optparse requires setting
allow_interspersed_args and doing the
parser dispatch manually
And my personal favorite:
argparse allows the type and
action parameters to add_argument()
to be specified with simple
callables, while optparse requires
hacking class attributes like
STORE_ACTIONS or CHECK_METHODS to get
proper argument checking
There is also argparse stdlib module (an "impovement" on stdlib's optparse module). Example from the introduction to argparse:
# script.py
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'integers', metavar='int', type=int, choices=range(10),
nargs='+', help='an integer in the range 0..9')
parser.add_argument(
'--sum', dest='accumulate', action='store_const', const=sum,
default=max, help='sum the integers (default: find the max)')
args = parser.parse_args()
print(args.accumulate(args.integers))
Usage:
$ script.py 1 2 3 4
4
$ script.py --sum 1 2 3 4
10
If you need something fast and not very flexible
main.py:
import sys
first_name = sys.argv[1]
last_name = sys.argv[2]
print("Hello " + first_name + " " + last_name)
Then run python main.py James Smith
to produce the following output:
Hello James Smith
The docopt library is really slick. It builds an argument dict from the usage string for your app.
Eg from the docopt readme:
"""Naval Fate.
Usage:
naval_fate.py ship new <name>...
naval_fate.py ship <name> move <x> <y> [--speed=<kn>]
naval_fate.py ship shoot <x> <y>
naval_fate.py mine (set|remove) <x> <y> [--moored | --drifting]
naval_fate.py (-h | --help)
naval_fate.py --version
Options:
-h --help Show this screen.
--version Show version.
--speed=<kn> Speed in knots [default: 10].
--moored Moored (anchored) mine.
--drifting Drifting mine.
"""
from docopt import docopt
if __name__ == '__main__':
arguments = docopt(__doc__, version='Naval Fate 2.0')
print(arguments)
One way to do it is using sys.argv. This will print the script name as the first argument and all the other parameters that you pass to it.
import sys
for arg in sys.argv:
print arg
#set default args as -h , if no args:
if len(sys.argv) == 1: sys.argv[1:] = ["-h"]
I use optparse myself, but really like the direction Simon Willison is taking with his recently introduced optfunc library. It works by:
"introspecting a function
definition (including its arguments
and their default values) and using
that to construct a command line
argument parser."
So, for example, this function definition:
def geocode(s, api_key='', geocoder='google', list_geocoders=False):
is turned into this optparse help text:
Options:
-h, --help show this help message and exit
-l, --list-geocoders
-a API_KEY, --api-key=API_KEY
-g GEOCODER, --geocoder=GEOCODER
I like getopt from stdlib, eg:
try:
opts, args = getopt.getopt(sys.argv[1:], 'h', ['help'])
except getopt.GetoptError, err:
usage(err)
for opt, arg in opts:
if opt in ('-h', '--help'):
usage()
if len(args) != 1:
usage("specify thing...")
Lately I have been wrapping something similiar to this to make things less verbose (eg; making "-h" implicit).
As you can see optparse "The optparse module is deprecated with and will not be developed further; development will continue with the argparse module."
Pocoo's click is more intuitive, requires less boilerplate, and is at least as powerful as argparse.
The only weakness I've encountered so far is that you can't do much customization to help pages, but that usually isn't a requirement and docopt seems like the clear choice when it is.
import argparse
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('integers', metavar='N', type=int, nargs='+',
help='an integer for the accumulator')
parser.add_argument('--sum', dest='accumulate', action='store_const',
const=sum, default=max,
help='sum the integers (default: find the max)')
args = parser.parse_args()
print(args.accumulate(args.integers))
Assuming the Python code above is saved into a file called prog.py
$ python prog.py -h
Ref-link: https://docs.python.org/3.3/library/argparse.html
You may be interested in a little Python module I wrote to make handling of command line arguments even easier (open source and free to use) - Commando
Yet another option is argh. It builds on argparse, and lets you write things like:
import argh
# declaring:
def echo(text):
"Returns given word as is."
return text
def greet(name, greeting='Hello'):
"Greets the user with given name. The greeting is customizable."
return greeting + ', ' + name
# assembling:
parser = argh.ArghParser()
parser.add_commands([echo, greet])
# dispatching:
if __name__ == '__main__':
parser.dispatch()
It will automatically generate help and so on, and you can use decorators to provide extra guidance on how the arg-parsing should work.
I recommend looking at docopt as a simple alternative to these others.
docopt is a new project that works by parsing your --help usage message rather than requiring you to implement everything yourself. You just have to put your usage message in the POSIX format.
Also with python3 you might find convenient to use Extended Iterable Unpacking to handle optional positional arguments without additional dependencies:
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)
The above argv unpack makes arg2 and arg3 "optional" - if they are not specified in argv, they will be None, while if the first is not specified, ValueError will be thouwn:
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)
My solution is entrypoint2. Example:
from entrypoint2 import entrypoint
#entrypoint
def add(file, quiet=True):
''' This function writes report.
:param file: write report to FILE
:param quiet: don't print status messages to stdout
'''
print file,quiet
help text:
usage: report.py [-h] [-q] [--debug] file
This function writes report.
positional arguments:
file write report to FILE
optional arguments:
-h, --help show this help message and exit
-q, --quiet don't print status messages to stdout
--debug set logging level to DEBUG
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)
Let's name this file command_line.py and let's run it:
C:\Users\simone> python command_line.py arg1 arg2 arg3 ecc
File name: command_line.py
Arguments:
arg1
arg2
arg3
ecc
Now let's write a simple program, sum.py:
import sys
try:
print(sum(map(float, sys.argv[1:])))
except:
print("An error has occurred")
Result:
C:\Users\simone> python sum.py 10 4 6 3
23
This handles simple switches, value switches with optional alternative flags.
import sys
# [IN] argv - array of args
# [IN] switch - switch to seek
# [IN] val - expecting value
# [IN] alt - switch alternative
# returns value or True if val not expected
def parse_cmd(argv,switch,val=None,alt=None):
for idx, x in enumerate(argv):
if x == switch or x == alt:
if val:
if len(argv) > (idx+1):
if not argv[idx+1].startswith('-'):
return argv[idx+1]
else:
return True
//expecting a value for -i
i = parse_cmd(sys.argv[1:],"-i", True, "--input")
//no value needed for -p
p = parse_cmd(sys.argv[1:],"-p")
Several of our biotechnology clients have posed these two questions recently:
How can we execute a Python script as a command?
How can we pass input values to a Python script when it is executed as a command?
I have included a Python script below which I believe answers both questions. Let's assume the following Python script is saved in the file test.py:
#
#----------------------------------------------------------------------
#
# 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)
The script can be executed on a macOS computer in a Terminal shell as shown below and the results will be printed to standard output (be sure the current directory includes the test.py file):
$ 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
The script can also be executed on a Windows computer in a Command Prompt as shown below and the results will be printed to standard output (be sure the current directory includes the test.py file):
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
This script answers both questions posed above and is a good starting point for developing scripts that will be executed as commands with input values.
Reason for the new answer:
Existing answers specify multiple options.
Standard option is to use argparse, a few answers provided examples from the documentation, and one answer suggested the advantage of it. But all fail to explain the answer adequately/clearly to the actual question by OP, at least for newbies.
An example of argparse:
import argparse
def load_config(conf_file):
pass
if __name__ == '__main__':
parser = argparse.ArgumentParser()
//Specifies one argument from the command line
//You can have any number of arguments like this
parser.add_argument("conf_file", help="configuration file for the application")
args = parser.parse_args()
config = load_config(args.conf_file)
Above program expects a config file as an argument. If you provide it, it will execute happily. If not, it will print the following
usage: test.py [-h] conf_file
test.py: error: the following arguments are required: conf_file
You can have the option to specify if the argument is optional.
You can specify the expected type for the argument using type key
parser.add_argument("age", type=int, help="age of the person")
You can specify default value for the arguments by specifying default key
This document will help you to understand it to an extent.
What I want to do is very simple but I can't figure out a good and not too complex solution for this. Basically I want to define some global variables that will be used for example as a folder name
global folder = "C:\\TEMP\\" + foldername
And what I want is to set the foldername value as input when running the script, something like:
python myscript.py --folder somebeautifulfoldername
so when running my script, the folder will become C:\TEMP\somebeautifulfoldername
You can pass arguments to Python script like following:
python test.py arg1 arg2 arg3
And this is what you get
Argument List: ['test.py', 'arg1', 'arg2', 'arg3']
In your case:
python myscript.py somebeautifulfoldername
folder = "C:\\TEMP\\" + sys.argv[1]
You can use the built-in argparse module for this combined with getting the command line arguments from sys.argv:
import argparse
import sys
if __name__ == '__main__':
parser = argparse.ArgumentParser(description = 'My script')
parser.add_argument('--folder', help = "Subfolder of C:\TEMP\ to manipulate")
args = parser.parse_args(sys.argv[1:])
folder = "C:\\TEMP\\"+args.folder
print folder
Here I added just a very simple argument with some basic help string, but you can do quite a lot with this like giving a default value, allowing a list of files instead of a single file, specify the type, ... . See the manual for more details and examples.
Usage:
>python myscript.py --folder somebeautifulfoldername
C:\TEMP\somebeautifulfoldername
>python myscript.py --help
usage: tmp.py [-h] [--folder FOLDER]
My script
optional arguments:
-h, --help show this help message and exit
--folder FOLDER Subfolder of C:\TEMP\ to manipulate
import sys
folder = "none"
if("--folder" in sys.argv):
folder = sys.argv[sys.argv.index("--folder") + 1]
print folder
If you run it the way you want:
python myscript.py --folder "HELLOFOLDER"
It will give: HELLOFOLDER
There are a number of options to parse command line arguments into a Python script. There's the standard library's optparse and argparse for instance.
A really nice 3rd party tool is docopt, which allows you to write the logic described above very easily by describing the script usage directly as documentation of your script like this:
"""My script
Usage:
myscript.py --folder=<folder>
Options:
-h --help Show this screen.
--version Show version.
--folder=<folder> Choose folder.
"""
from docopt import docopt
if __name__ == '__main__':
arguments = docopt(__doc__, version='myscript 1.0')
folder = "C:\\TEMP\\" + arguments["--folder"]
print(folder)
That said, you may also want to look into tempfile for generating temporary files to make the script more cross-platform. Hard-coding Windows-specific paths is rarely a good idea.
This question already has answers here:
How to read/process command line arguments?
(22 answers)
Closed 2 years ago.
I write my scripts in python and run them with cmd by typing in:
C:\> python script.py
Some of my scripts contain separate algorithms and methods which are called based on a flag.
Now I would like to pass the flag through cmd directly rather than having to go into the script and change the flag prior to run, I want something similar to:
C:\> python script.py -algorithm=2
I have read that people use sys.argv for almost similar purposes however reading the manuals and forums I couldn't understand how it works.
There are a few modules specialized in parsing command line arguments: getopt, optparse and argparse. optparse is deprecated, and getopt is less powerful than argparse, so I advise you to use the latter, it'll be more helpful in the long run.
Here's a short example:
import argparse
# Define the parser
parser = argparse.ArgumentParser(description='Short sample app')
# Declare an argument (`--algo`), saying that the
# corresponding value should be stored in the `algo`
# field, and using a default value if the argument
# isn't given
parser.add_argument('--algo', action="store", dest='algo', default=0)
# Now, parse the command line arguments and store the
# values in the `args` variable
args = parser.parse_args()
# Individual arguments can be accessed as attributes...
print args.algo
That should get you started. At worst, there's plenty of documentation available on line (say, this one for example)...
It might not answer your question, but some people might find it usefull (I was looking for this here):
How to send 2 args (arg1 + arg2) from cmd to python 3:
----- Send the args in test.cmd:
python "C:\Users\test.pyw" "arg1" "arg2"
----- Retrieve the args in test.py:
print ("This is the name of the script= ", sys.argv[0])
print("Number of arguments= ", len(sys.argv))
print("all args= ", str(sys.argv))
print("arg1= ", sys.argv[1])
print("arg2= ", sys.argv[2])
Try using the getopt module. It can handle both short and long command line options and is implemented in a similar way in other languages (C, shell scripting, etc):
import sys, getopt
def main(argv):
# default algorithm:
algorithm = 1
# parse command line options:
try:
opts, args = getopt.getopt(argv,"a:",["algorithm="])
except getopt.GetoptError:
<print usage>
sys.exit(2)
for opt, arg in opts:
if opt in ("-a", "--algorithm"):
# use alternative algorithm:
algorithm = arg
print "Using algorithm: ", algorithm
# Positional command line arguments (i.e. non optional ones) are
# still available via 'args':
print "Positional args: ", args
if __name__ == "__main__":
main(sys.argv[1:])
You can then pass specify a different algorithm by using the -a or --algorithm= options:
python <scriptname> -a2 # use algorithm 2
python <scriptname> --algorithm=2 # ditto
See: getopt documentation
I have tested optcomplete working with the optparse module. Its example is a simple file so I could get that working. I also tested it using the argparse module as the prior one is deprecated. But I really do not understand how and by whom the python program gets called on tab presses. I suspect bash together with the shebang line and the argparse (or optparse) module are involved in some way. I have been trying to figure this out (now gonna read the source code).
I have a little more complex program structure, which includes a wrapper around the piece of code which handles the arguments. Its argparse.ArgumentParser() instantiation and calls to add_argument() - which are superclassed into another intermediate module to avoid duplicating code, and wrapper around that is being called - are inside a function.
I want to understand the way this tab completion works between bash and python (or for that matter any other interpretor like perl).
NOTE: I have a fair understanding of bash completion (which I learned just now), and I think I understand the bash(only) custom completion.
NOTE: I have read other similar SO questions, and none really answer this Q.
Edit: Here is the bash function.
I already understood how the python module gets to know about words typed in the command line, by reading os.environ values of variables
$COMP_WORDS
$COMP_CWORD
$COMP_LINE
$COMP_POINT
$COMPREPLY
These variables have values only on tab press.
My question is how does the python module gets triggered?
To understand what's happening here, let's check what that bash function actually does:
COMPREPLY=( $( \
COMP_LINE=$COMP_LINE COMP_POINT=$COMP_POINT \
COMP_WORDS="${COMP_WORDS[*]}" COMP_CWORD=$COMP_CWORD \
OPTPARSE_AUTO_COMPLETE=1 $1 ) )
See the $1 at the end? That means that it actually calls the Python file we want to execute with special environment variables set! To trace what's happening, let's prepare a little script to intercept what optcomplete.autocomplete does:
#!/usr/bin/env python2
import os, sys
import optparse, optcomplete
from cStringIO import StringIO
if __name__ == '__main__':
parser = optparse.OptionParser()
parser.add_option('-s', '--simple', action='store_true',
help="Simple really simple option without argument.")
parser.add_option('-o', '--output', action='store',
help="Option that requires an argument.")
opt = parser.add_option('-p', '--script', action='store',
help="Option that takes python scripts args only.")
opt.completer = optcomplete.RegexCompleter('.*\.py')
# debug env variables
sys.stderr.write("\ncalled with args: %s\n" % repr(sys.argv))
for k, v in sorted(os.environ.iteritems()):
sys.stderr.write(" %s: %s\n" % (k, v))
# setup capturing the actions of `optcomplete.autocomplete`
def fake_exit(i):
sys.stderr.write("autocomplete tried to exit with status %d\n" % i)
sys.stdout = StringIO()
sys.exit = fake_exit
# Support completion for the command-line of this script.
optcomplete.autocomplete(parser, ['.*\.tar.*'])
sys.stderr.write("autocomplete tried to write to STDOUT:\n")
sys.stderr.write(sys.stdout.getvalue())
sys.stderr.write("\n")
opts, args = parser.parse_args()
This gives us the following when we try to autocomplete it:
$ ./test.py [tab]
called with args: ['./test.py']
...
COMP_CWORD: 1
COMP_LINE: ./test.py
COMP_POINT: 10
COMP_WORDS: ./test.py
...
OPTPARSE_AUTO_COMPLETE: 1
...
autocomplete tried to exit with status 1
autocomplete tried to write to STDOUT:
-o -h -s -p --script --simple --help --output
So optcomplete.autocomplete just reads the environment, prepares the matches, writes them to STDOUT and exits. The result -o -h -s -p --script --simple --help --output is then put into a bash array (COMPREPLY=( ... )) and returned to bash to present the choices to the user. No magic involved :)