A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.
.. image:: https://img.shields.io/pypi/v/ConfigArgParse.svg?style=flat :alt: PyPI version :target: https://pypi.python.org/pypi/ConfigArgParse
.. image:: https://img.shields.io/pypi/pyversions/ConfigArgParse.svg :alt: Supported Python versions :target: https://pypi.python.org/pypi/ConfigArgParse
.. image:: https://static.pepy.tech/badge/configargparse/week :alt: Downloads per week :target: https://pepy.tech/project/configargparse
.. image:: https://img.shields.io/badge/-API_Documentation-blue :alt: API Documentation :target: https://bw2.github.io/ConfigArgParse/
Overview
Applications with more than a handful of user-settable options are best
configured through a combination of command line args, config files,
hard-coded defaults, and in some cases, environment variables.
Python's command line parsing modules such as argparse have very limited
support for config files and environment variables, so this module
extends argparse to add these features.
Available on PyPI: http://pypi.python.org/pypi/ConfigArgParse
Features
print_values() can report keys & values and where
they were set (eg. command line, env var, config file, or default).ConfigFileParser can be subclassed to define a new
config file format)Example
*config_test.py*:
Script that defines 4 options and a positional arg and then parses and prints the values. Also,
it prints out the help message as well as the string produced by :code:`format_values()` to show
what they look like.
.. code:: py
import configargparse
p = configargparse.ArgParser(default_config_files=['/etc/app/conf.d/*.conf', '~/.my_settings'])
p.add('-c', '--my-config', required=True, is_config_file=True, help='config file path')
p.add('--genome', required=True, help='path to genome file') # this option can be set in a config file because it starts with '--'
p.add('-v', help='verbose', action='store_true')
p.add('-d', '--dbsnp', help='known variants .vcf', env_var='DBSNP_PATH') # this option can be set in a config file because it starts with '--'
p.add('vcf', nargs='+', help='variant file(s)')
options = p.parse_args()
print(options)
print("----------")
print(p.format_help())
print("----------")
print(p.format_values()) # useful for logging where different settings came from
*config.txt:*
Since the script above set the config file as required=True, lets create a config file to give it:
.. code:: py
# settings for config_test.py
genome = HCMV # cytomegalovirus genome
dbsnp = /data/dbsnp/variants.vcf
*command line:*
Now run the script and pass it the config file:
.. code:: bash
DBSNP_PATH=/data/dbsnp/variants_v2.vcf python config_test.py --my-config config.txt f1.vcf f2.vcf
*output:*
Here is the result:
.. code:: bash
Namespace(dbsnp='/data/dbsnp/variants_v2.vcf', genome='HCMV', my_config='config.txt', v=False, vcf=['f1.vcf', 'f2.vcf'])
----------
usage: config_test.py [-h] -c MY_CONFIG --genome GENOME [-v] [-d DBSNP]
vcf [vcf ...]
Args that start with '--' (eg. --genome) can also be set in a config file
(/etc/app/conf.d/*.conf or ~/.my_settings or specified via -c). Config file
syntax allows: key=value, flag=true, stuff=[a,b,c] (for details, see syntax at
https://goo.gl/R74nmi). If an arg is specified in more than one place, then
commandline values override environment variables which override config file
values which override defaults.
positional arguments:
vcf variant file(s)
optional arguments:
-h, --help show this help message and exit
-c MY_CONFIG, --my-config MY_CONFIG
config file path
--genome GENOME path to genome file
-v verbose
-d DBSNP, --dbsnp DBSNP
known variants .vcf [env var: DBSNP_PATH]
----------
Command Line Args: --my-config config.txt f1.vcf f2.vcf
Environment Variables:
DBSNP_PATH: /data/dbsnp/variants_v2.vcf
Config File (config.txt):
genome: HCMV
Special Values
Under the hood, configargparse handles environment variables and config file values by converting them to their corresponding command line arg. For example, "key = value" will be processed as if "--key value" was specified on the command line.
Also, the following special values (whether in a config file or an environment variable) are handled in a special way to support booleans and lists:
:code:key = true is handled as if "--key" was specified on the command line.
In your python code this key must be defined as a boolean flag
(eg. action="store_true" or similar).
:code:key = [value1, value2, ...] is handled as if "--key value1 --key value2"
etc. was specified on the command line. In your python code this key must
be defined as a list (eg. action="append").
Config File Syntax
Only command line args that have a long version (eg. one that starts with '--')
can be set in a config file. For example, "--color" can be set by putting
"color=green" in a config file. The config file syntax depends on the constructor
arg: :code:`config_file_parser_class` which can be set to one of the provided
classes: :code:`DefaultConfigFileParser`, :code:`YAMLConfigFileParser`,
:code:`ConfigparserConfigFileParser` or to your own subclass of the
:code:`ConfigFileParser` abstract class.
*DefaultConfigFileParser* - the full range of valid syntax is:
.. code:: yaml
# this is a comment
; this is also a comment (.ini style)
--- # lines that start with --- are ignored (yaml style)
-------------------
[section] # .ini-style section names are treated as comments
# how to specify a key-value pair (all of these are equivalent):
name value # key is case sensitive: "Name" isn't "name"
name = value # (.ini style) (white space is ignored, so name = value same as name=value)
name: value # (yaml style)
--name value # (argparse style)
# how to set a flag arg (eg. arg which has action="store_true")
--name
name
name = True # "True" and "true" are the same
# how to specify a list arg (eg. arg which has action="append")
fruit = [apple, orange, lemon]
indexes = [1, 12, 35 , 40]
*YAMLConfigFileParser* - allows a subset of YAML syntax (http://goo.gl/VgT2DU)
.. code:: yaml
# a comment
name1: value
name2: true # "True" and "true" are the same
fruit: [apple, orange, lemon]
indexes: [1, 12, 35, 40]
colors:
- green
- red
- blue
*ConfigparserConfigFileParser* - allows a subset of python's configparser
module syntax (https://docs.python.org/3.7/library/configparser.html). In
particular the following configparser options are set:
.. code:: py
config = configparser.ArgParser(
delimiters=("=",":"),
allow_no_value=False,
comment_prefixes=("#",";"),
inline_comment_prefixes=("#",";"),
strict=True,
empty_lines_in_values=False,
)
Once configparser parses the config file all section names are removed, thus all
keys must have unique names regardless of which INI section they are defined
under. Also, any keys which have python list syntax are converted to lists by
evaluating them as python code using ast.literal_eval
(https://docs.python.org/3/library/ast.html#ast.literal_eval). To facilitate
this all multi-line values are converted to single-line values. Thus multi-line
string values will have all new-lines converted to spaces. Note, since key-value
pairs that have python dictionary syntax are saved as single-line strings, even
if formatted across multiple lines in the config file, dictionaries can be read
in and converted to valid python dictionaries with PyYAML's safe_load. Example
given below:
.. code:: py
# inside your config file (e.g. config.ini)
[section1] # INI sections treated as comments
system1_settings: { # start of multi-line dictionary
'a':True,
'b':[2, 4, 8, 16],
'c':{'start':0, 'stop':1000},
'd':'experiment 32 testing simulation with parameter a on'
} # end of multi-line dictionary value
.......
# in your configargparse setup
import configargparse
import yaml
parser = configargparse.ArgParser(
config_file_parser_class=configargparse.ConfigparserConfigFileParser
)
parser.add_argument('--system1_settings', type=yaml.safe_load)
args = parser.parse_args() # now args.system1 is a valid python dict
*IniConfigParser* - INI parser with support for sections.
This parser somewhat ressembles ``ConfigparserConfigFileParser``. It uses configparser and apply the same kind of processing to
values written with python list syntax.
With the following additions:
- Must be created with argument to bind the parser to a list of sections.
- Does not convert multiline strings to single line.
- Optional support for converting multiline strings to list (if ``split_ml_text_to_list=True``).
- Optional support for quoting strings in config file
(useful when text must not be converted to list or when text
should contain trailing whitespaces).
This config parser can be used to integrate with ``setup.cfg`` files.
Example::
# this is a comment
; also a comment
[my_super_tool]
# how to specify a key-value pair
format-string: restructuredtext
# white space are ignored, so name = value same as name=value
# this is why you can quote strings
quoted-string = '\thello\tmom... '
# how to set an arg which has action="store_true"
warnings-as-errors = true
# how to set an arg which has action="count" or type=int
verbosity = 1
# how to specify a list arg (eg. arg which has action="append")
repeatable-option = ["https://docs.python.org/3/objects.inv",
"https://twistedmatrix.com/documents/current/api/objects.inv"]
# how to specify a multiline text:
multi-line-text =
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Vivamus tortor odio, dignissim non ornare non, laoreet quis nunc.
Maecenas quis dapibus leo, a pellentesque leo.
If you use ``IniConfigParser(sections, split_ml_text_to_list=True)``::
# the same rules are applicable with the following changes:
[my-software]
# how to specify a list arg (eg. arg which has action="append")
repeatable-option = # Just enter one value per line (the list literal format can also be used)
https://docs.python.org/3/objects.inv
https://twistedmatrix.com/documents/current/api/objects.inv
# how to specify a multiline text (you have to quote it):
multi-line-text = '''
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Vivamus tortor odio, dignissim non ornare non, laoreet quis nunc.
Maecenas quis dapibus leo, a pellentesque leo.
'''
Usage:
.. code:: py
import configargparse
parser = configargparse.ArgParser(
default_config_files=['setup.cfg', 'my_super_tool.ini'],
config_file_parser_class=configargparse.IniConfigParser(['tool:my_super_tool', 'my_super_tool']),
)
...
*TomlConfigParser* - TOML parser with support for sections.
`TOML <https://github.com/toml-lang/toml/blob/main/toml.md>`_ parser. This config parser can be used to integrate with ``pyproject.toml`` files.
Example::
# this is a comment
[tool.my-software] # TOML section table.
# how to specify a key-value pair
format-string = "restructuredtext" # strings must be quoted
# how to set an arg which has action="store_true"
warnings-as-errors = true
# how to set an arg which has action="count" or type=int
verbosity = 1
# how to specify a list arg (eg. arg which has action="append")
repeatable-option = ["https://docs.python.org/3/objects.inv",
"https://twistedmatrix.com/documents/current/api/objects.inv"]
# how to specify a multiline text:
multi-line-text = '''
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Vivamus tortor odio, dignissim non ornare non, laoreet quis nunc.
Maecenas quis dapibus leo, a pellentesque leo.
'''
Usage:
.. code:: py
import configargparse
parser = configargparse.ArgParser(
default_config_files=['pyproject.toml', 'my_super_tool.toml'],
config_file_parser_class=configargparse.TomlConfigParser(['tool.my_super_tool']),
)
...
*CompositeConfigParser* - Create a config parser to understand multiple formats.
This parser will successively try to parse the file with each parser, until it succeeds,
else fail showing all encountered error messages.
The following code will make configargparse understand both TOML and INI formats.
Making it easy to integrate in both ``pyproject.toml`` and ``setup.cfg``.
.. code:: py
import configargparse
my_tool_sections = ['tool.my_super_tool', 'tool:my_super_tool', 'my_super_tool']
# pyproject.toml like section, setup.cfg like section, custom section
parser = configargparse.ArgParser(
default_config_files=['setup.cfg', 'my_super_tool.ini'],
config_file_parser_class=configargparse.CompositeConfigParser(
[configargparse.TomlConfigParser(my_tool_sections),
configargparse.IniConfigParser(my_tool_sections, split_ml_text_to_list=True)]
),
)
...
Note that it's required to put the TOML parser first because the INI syntax basically would accept anything whereas TOML.
ArgParser Singletons
To make it easier to configure different modules in an application, configargparse provides globally-available ArgumentParser instances via configargparse.get_argument_parser('name') (similar to logging.getLogger('name')).
Here is an example of an application with a utils module that also defines and retrieves its own command-line args.
main.py
.. code:: py
import configargparse
import utils
p = configargparse.get_argument_parser()
p.add_argument("-x", help="Main module setting")
p.add_argument("--m-setting", help="Main module setting")
options = p.parse_known_args() # using p.parse_args() here may raise errors.
utils.py
.. code:: py
import configargparse
p = configargparse.get_argument_parser()
p.add_argument("--utils-setting", help="Config-file-settable option for utils")
if __name__ == "__main__":
options = p.parse_known_args()
Help Formatters
:code:`ArgumentDefaultsRawHelpFormatter` is a new HelpFormatter that both adds
default values AND disables line-wrapping. It can be passed to the constructor:
:code:`ArgParser(.., formatter_class=ArgumentDefaultsRawHelpFormatter)`
Aliases
~~~~~~~
The configargparse.ArgumentParser API inherits its class and method
names from argparse and also provides the following shorter names for
convenience:
- p = configargparse.get_arg_parser() # get global singleton instance
- p = configargparse.get_parser()
- p = configargparse.ArgParser() # create a new instance
- p = configargparse.Parser()
- p.add_arg(..)
- p.add(..)
- options = p.parse(..)
HelpFormatters:
- RawFormatter = RawDescriptionHelpFormatter
- DefaultsFormatter = ArgumentDefaultsHelpFormatter
- DefaultsRawFormatter = ArgumentDefaultsRawHelpFormatter
API Documentation
You can review the generated API Documentation for the configargparse module: HERE <https://bw2.github.io/ConfigArgParse/>_
Design Notes
Unit tests:
tests/test_configargparse.py contains custom unittests for features
specific to this module (such as config file and env-var support), as
well as a hook to load and run argparse unittests (see the built-in
test.test_argparse module) but on configargparse in place of argparse.
This ensures that configargparse will work as a drop in replacement for
argparse in all usecases.
Previously existing modules (PyPI search keywords: config argparse):
- argparse (built-in module Python v2.7+)
- Good:
- fully featured command line parsing
- can read args from files using an easy to understand mechanism
- Bad:
- syntax for specifying config file path is unusual (eg.
@file.txt)and not described in the user help message.
- default config file syntax doesn't support comments and is
unintuitive (eg. --namevalue)
- no support for environment variables
- ConfArgParse v1.0.15
(https://pypi.python.org/pypi/ConfArgParse)
- Good:
- extends argparse with support for config files parsed by
ConfigParser
- clear documentation in README
- Bad:
- config file values are processed using
ArgumentParser.set_defaults(..) which means "required" and
"choices" are not handled as expected. For example, if you
specify a required value in a config file, you still have to
specify it again on the command line.
- doesn't work with Python 3 yet
- no unit tests, code not well documented
- appsettings v0.5 (https://pypi.python.org/pypi/appsettings)
- Good:
- supports config file (yaml format) and env_var parsing
- supports config-file-only setting for specifying lists and
dicts
- Bad:
- passes in config file and env settings via parse_args
namespace param
- tests not finished and don't work with Python 3 (import
StringIO)
- argparse_config v0.5.1
(https://pypi.python.org/pypi/argparse_config)
- Good:
- similar features to ConfArgParse v1.0.15
- Bad:
- doesn't work with Python 3 (error during pip install)
- yconf v0.3.2 - (https://pypi.python.org/pypi/yconf) - features
and interface not that great
- hieropt v0.3 - (https://pypi.python.org/pypi/hieropt) - doesn't
appear to be maintained, couldn't find documentation
- configurati v0.2.3 - (https://pypi.python.org/pypi/configurati)
- Good:
- JSON, YAML, or Python configuration files
- handles rich data structures such as dictionaries
- can group configuration names into sections (like .ini files)
- Bad:
- doesn't work with Python 3
- 2+ years since last release to PyPI
- apparently unmaintained
Design choices:
1. all options must be settable via command line. Having options that
can only be set using config files or env. vars adds complexity to
the API, and is not a useful enough feature since the developer can
split up options into sections and call a section "config file keys",
with command line args that are just "--" plus the config key.
2. config file and env. var settings should be processed by appending
them to the command line (another benefit of #1). This is an
easy-to-implement solution and implicitly takes care of checking that
all "required" args are provided, etc., plus the behavior should be
easy for users to understand.
3. configargparse shouldn't override argparse's
convert_arg_line_to_args method so that all argparse unit tests
can be run on configargparse.
4. in terms of what to allow for config file keys, the "dest" value of
an option can't serve as a valid config key because many options can
have the same dest. Instead, since multiple options can't use the
same long arg (eg. "--long-arg-x"), let the config key be either
"--long-arg-x" or "long-arg-x". This means the developer can allow
only a subset of the command-line args to be specified via config
file (eg. short args like -x would be excluded). Also, that way
config keys are automatically documented whenever the command line
args are documented in the help message.
5. don't force users to put config file settings in the right .ini [sections].
This doesn't have a clear benefit since all options are command-line settable,
and so have a globally unique key anyway.
Enforcing sections just makes things harder for the user and adds complexity to the implementation.
NOTE: This design choice was preventing configargparse from integrating with common Python project
config files like setup.cfg or pyproject.toml,
so additional parser classes were added that parse only a subset of the values defined in INI or
TOML config files.
6. if necessary, config-file-only args can be added later by
implementing a separate add method and using the namespace arg as in
appsettings_v0.5
Relevant sites:
- http://stackoverflow.com/questions/6133517/parse-config-file-environment-and-command-line-arguments-to-get-a-single-coll
- http://tricksntweaks.blogspot.com/2013_05_01_archive.html
- http://www.youtube.com/watch?v=vvCwqHgZJc8#t=35
Versioning
~~~~~~~~~~
This software follows `Semantic Versioning`_
.. _Semantic Versioning: http://semver.org/
FAQs
A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.
We found that ConfigArgParse 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
A malicious npm package disguised as a WhatsApp client is exploiting authentication flows with a remote kill switch to exfiltrate data and destroy files.
Security News
PyPI now supports digital attestations, enhancing security and trust by allowing package maintainers to verify the authenticity of Python packages.
Security News
GitHub removed 27 malicious pull requests attempting to inject harmful code across multiple open source repositories, in another round of low-effort attacks.