argcomplete - Bash tab completion for argparse

Tab complete all the things!

Argcomplete provides easy, extensible command line tab completion of arguments for your Python script.

It makes two assumptions:

• You're using bash as your shell (limited support for zsh, fish, and tcsh is available)
• You're using argparse to manage your command line arguments/options

Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network).

Installation

pip3 install argcomplete
activate-global-python-argcomplete

See Activating global completion below for details about the second step (or if it reports an error).

Refresh your bash environment (start a new shell or source /etc/profile).

Synopsis

Python code (e.g. my-awesome-script):

#!/usr/bin/env python
# PYTHON_ARGCOMPLETE_OK
import argcomplete, argparse
parser = argparse.ArgumentParser()
...
argcomplete.autocomplete(parser)
args = parser.parse_args()
...

Shellcode (only necessary if global completion is not activated - see Global completion below), to be put in e.g. .bashrc:

eval "$(register-python-argcomplete my-awesome-script)"

argcomplete.autocomplete(parser)

This method is the entry point to the module. It must be called after ArgumentParser construction is complete, but before the ArgumentParser.parse_args() method is called. The method looks for an environment variable that the completion hook shellcode sets, and if it's there, collects completions, prints them to the output stream (fd 8 by default), and exits. Otherwise, it returns to the caller immediately.

Specifying completers

You can specify custom completion functions for your options and arguments. Two styles are supported: callable and readline-style. Callable completers are simpler. They are called with the following keyword arguments:

• prefix: The prefix text of the last word before the cursor on the command line. For dynamic completers, this can be used to reduce the work required to generate possible completions.
• action: The argparse.Action instance that this completer was called for.
• parser: The argparse.ArgumentParser instance that the action was taken by.
• parsed_args: The result of argument parsing so far (the argparse.Namespace args object normally returned by ArgumentParser.parse_args()).

Completers should return their completions as a list of strings. An example completer for names of environment variables might look like this:

def EnvironCompleter(**kwargs):
    return os.environ

To specify a completer for an argument or option, set the completer attribute of its associated action. An easy way to do this at definition time is:

from argcomplete.completers import EnvironCompleter

parser = argparse.ArgumentParser()
parser.add_argument("--env-var1").completer = EnvironCompleter
parser.add_argument("--env-var2").completer = EnvironCompleter
argcomplete.autocomplete(parser)

If you specify the choices keyword for an argparse option or argument (and don't specify a completer), it will be used for completions.

A completer that is initialized with a set of all possible choices of values for its action might look like this:

class ChoicesCompleter(object):
    def __init__(self, choices):
        self.choices = choices

    def __call__(self, **kwargs):
        return self.choices

The following two ways to specify a static set of choices are equivalent for completion purposes:

from argcomplete.completers import ChoicesCompleter

parser.add_argument("--protocol", choices=('http', 'https', 'ssh', 'rsync', 'wss'))
parser.add_argument("--proto").completer=ChoicesCompleter(('http', 'https', 'ssh', 'rsync', 'wss'))

Note that if you use the choices=<completions> option, argparse will show all these choices in the --help output by default. To prevent this, set metavar (like parser.add_argument("--protocol", metavar="PROTOCOL", choices=('http', 'https', 'ssh', 'rsync', 'wss'))).

The following script uses parsed_args and Requests to query GitHub for publicly known members of an organization and complete their names, then prints the member description:

#!/usr/bin/env python
# PYTHON_ARGCOMPLETE_OK
import argcomplete, argparse, requests, pprint

def github_org_members(prefix, parsed_args, **kwargs):
    resource = "https://api.github.com/orgs/{org}/members".format(org=parsed_args.organization)
    return (member['login'] for member in requests.get(resource).json() if member['login'].startswith(prefix))

parser = argparse.ArgumentParser()
parser.add_argument("--organization", help="GitHub organization")
parser.add_argument("--member", help="GitHub member").completer = github_org_members

argcomplete.autocomplete(parser)
args = parser.parse_args()

pprint.pprint(requests.get("https://api.github.com/users/{m}".format(m=args.member)).json())

Try it like this:

./describe_github_user.py --organization heroku --member <TAB>

If you have a useful completer to add to the completer library, send a pull request!

Readline-style completers

The readline module defines a completer protocol in rlcompleter. Readline-style completers are also supported by argcomplete, so you can use the same completer object both in an interactive readline-powered shell and on the bash command line. For example, you can use the readline-style completer provided by IPython to get introspective completions like you would get in the IPython shell:

import IPython
parser.add_argument("--python-name").completer = IPython.core.completer.Completer()

argcomplete.CompletionFinder.rl_complete can also be used to plug in an argparse parser as a readline completer.

Printing warnings in completers

Normal stdout/stderr output is suspended when argcomplete runs. Sometimes, though, when the user presses <TAB>, it's appropriate to print information about why completions generation failed. To do this, use warn:

from argcomplete import warn

def AwesomeWebServiceCompleter(prefix, **kwargs):
    if login_failed:
        warn("Please log in to Awesome Web Service to use autocompletion")
    return completions

Using a custom completion validator

By default, argcomplete validates your completions by checking if they start with the prefix given to the completer. You can override this validation check by supplying the validator keyword to argcomplete.autocomplete():

def my_validator(current_input, keyword_to_check_against):
    # Pass through ALL options even if they don't all start with 'current_input'
    return True

argcomplete.autocomplete(parser, validator=my_validator)

Global completion

In global completion mode, you don't have to register each argcomplete-capable executable separately. Instead, bash will look for the string PYTHON_ARGCOMPLETE_OK in the first 1024 bytes of any executable that it's running completion for, and if it's found, follow the rest of the argcomplete protocol as described above.

Additionally, completion is activated for scripts run as python <script> and python -m <module>. This also works for alternate Python versions (e.g. python3 and pypy), as long as that version of Python has argcomplete installed.

If you choose not to use global completion, or ship a bash completion module that depends on argcomplete, you must register your script explicitly using eval "$(register-python-argcomplete my-awesome-script)". Standard bash completion registration roules apply: namely, the script name is passed directly to complete, meaning it is only tab completed when invoked exactly as it was registered. In the above example, my-awesome-script must be on the path, and the user must be attempting to complete it by that name. The above line alone would not allow you to complete ./my-awesome-script, or /path/to/my-awesome-script.

Activating global completion

The script activate-global-python-argcomplete will try to install the file bash_completion.d/python-argcomplete (see on GitHub) into an appropriate location on your system (/etc/bash_completion.d/ or ~/.bash_completion.d/). If it fails, but you know the correct location of your bash completion scripts directory, you can specify it with --dest:

activate-global-python-argcomplete --dest=/path/to/bash_completion.d

Otherwise, you can redirect its shellcode output into a file:

activate-global-python-argcomplete --dest=- > file

The file's contents should then be sourced in e.g. ~/.bashrc.

Zsh Support

To activate completions for zsh you need to have bashcompinit enabled in zsh:

autoload -U bashcompinit
bashcompinit

Afterwards you can enable completion for your scripts with register-python-argcomplete:

eval "$(register-python-argcomplete my-awesome-script)"

Tcsh Support

To activate completions for tcsh use:

eval `register-python-argcomplete --shell tcsh my-awesome-script`

The python-argcomplete-tcsh script provides completions for tcsh. The following is an example of the tcsh completion syntax for my-awesome-script emitted by register-python-argcomplete:

complete my-awesome-script 'p@*@`python-argcomplete-tcsh my-awesome-script`@'

Fish Support

To activate completions for fish use:

register-python-argcomplete --shell fish my-awesome-script | source

or create new completion file, e.g:

register-python-argcomplete --shell fish my-awesome-script > ~/.config/fish/completions/my-awesome-script.fish

Completion Description For Fish

By default help string is added as completion description.

You can disable this feature by removing _ARGCOMPLETE_DFS variable, e.g:

register-python-argcomplete --shell fish my-awesome-script | grep -v _ARGCOMPLETE_DFS | .

Git Bash Support

Due to limitations of file descriptor inheritance on Windows, Git Bash not supported out of the box. You can opt in to using temporary files instead of file descriptors for for IPC by setting the environment variable ARGCOMPLETE_USE_TEMPFILES, e.g. by adding export ARGCOMPLETE_USE_TEMPFILES=1 to ~/.bashrc.

For full support, consider using Bash with the Windows Subsystem for Linux (WSL).

External argcomplete script

To register an argcomplete script for an arbitrary name, the --external-argcomplete-script argument of the register-python-argcomplete script can be used:

eval "$(register-python-argcomplete --external-argcomplete-script /path/to/script arbitrary-name)"

This allows, for example, to use the auto completion functionality of argcomplete for an application not written in Python. The command line interface of this program must be additionally implemented in a Python script with argparse and argcomplete and whenever the application is called the registered external argcomplete script is used for auto completion.

This option can also be used in combination with the other supported shells.

Python Support

Argcomplete requires Python 2.7 or 3.5+.

Common Problems

If global completion is not completing your script, bash may have registered a default completion function:

$ complete | grep my-awesome-script
complete -F _minimal my-awesome-script

You can fix this by restarting your shell, or by running complete -r my-awesome-script.

Debugging

Set the _ARC_DEBUG variable in your shell to enable verbose debug output every time argcomplete runs. This will disrupt the command line composition state of your terminal, but make it possible to see the internal state of the completer if it encounters problems.

Acknowledgments

Inspired and informed by the optcomplete module by Martin Blais.

Links

• Project home page (GitHub)
• Documentation
• Package distribution (PyPI)
• Change log
• xontrib-argcomplete - support argcomplete in xonsh shell

Bugs

Please report bugs, issues, feature requests, etc. on GitHub.

License

Licensed under the terms of the Apache License, Version 2.0.