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 or zsh as your shell
- 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).
pip 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
).
Python code (e.g. my-awesome-script.py
):
#!/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.py)"
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.
Side effects
Argcomplete gets completions by running your program. It intercepts the execution flow at the moment
argcomplete.autocomplete()
is called. After sending completions, it exits using exit_method
(os._exit
by default). This means if your program has any side effects that happen before argcomplete
is called, those
side effects will happen every time the user presses <TAB>
(although anything your program prints to stdout or
stderr will be suppressed). For this reason it's best to construct the argument parser and call
argcomplete.autocomplete()
as early as possible in your execution flow.
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. All returned completions should begin with this prefix.action
: Theargparse.Action
instance that this completer was called for.parser
: Theargparse.ArgumentParser
instance that the action was taken by.parsed_args
: The result of argument parsing so far (theargparse.Namespace
args object normally returned byArgumentParser.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(prefix, **kwargs):
return (v for v in os.environ if v.startswith(prefix))
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 = [str(choice) for choice in choices]
def __call__(self, prefix, **kwargs):
return (c for c in self.choices if c.startswith(prefix))
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!
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()
You can also use argcomplete.CompletionFinder.rl_complete to plug your entire argparse parser as a readline completer.
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
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)
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.
Bash version compatibility
Global completion requires bash support for complete -D
, which was introduced in bash 4.2. On OS X or older Linux
systems, you will need to update bash to use this feature. Check the version of the running copy of bash with
echo $BASH_VERSION
. On OS X, install bash via Homebrew (brew install bash
), add
/usr/local/bin/bash
to /etc/shells
, and run chsh
to change your shell.
Global completion is not currently compatible with zsh.
Note
If you use setuptools/distribute scripts
or entry_points
directives to package your module,
argcomplete will follow the wrapper scripts to their destination and look for PYTHON_ARGCOMPLETE_OK
in the
destination code.
The script activate-global-python-argcomplete
will try to install the file
bash_completion.d/python-argcomplete.sh
(see on GitHub) into an appropriate location on your system
(/etc/bash_completion.d/
or ~/.bash_completion.d/
). If it
fails, but you know the correct location of your bash completion scripts directory, you can specify it with --dest
:
activate-global-python-argcomplete --dest=/path/to/bash_completion.d
Otherwise, you can redirect its shellcode output into a file:
activate-global-python-argcomplete --dest=- > file
The file's contents should then be sourced in e.g. ~/.bashrc
.
Set the _ARC_DEBUG
variable in your shell to enable verbose debug output every time argcomplete runs. Alternatively,
you can bypass the bash completion shellcode altogether, and interact with the Python code directly with something like
this:
PROGNAME=./{YOUR_PY_SCRIPT} TEST_ARGS='some_arguments with autocompl' _ARC_DEBUG=1 COMP_LINE="$PROGNAME $TEST_ARGS" COMP_POINT=31 _ARGCOMPLETE=1 $PROGNAME 8>&1 9>>~/autocomplete_debug.log
Then tail:
tail -f ~/autocomplete_debug.log
Inspired and informed by the optcomplete module by Martin Blais.
Please report bugs, issues, feature requests, etc. on GitHub.
Licensed under the terms of the Apache License, Version 2.0.