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appcli

An object-oriented framework for command-line apps.

  • 0.25.0
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AppCLI


.. AppCLI is a Python library for making command-line applications. More broadly, it's a framework for defining object properties that read their default values from arbitrary sources, e.g. the command-line, configuration files, environment variables, REST APIs, etc.

defining objects with properties that are initialized from blah blah blah sources such as the command line,

It works by (allowing|providing a framework for) objects to define parameters that are initialized|read from external sources, e.g. the command-line, configuration files, environment variables.

It works by giving classes a simple way to define parameters that will be initialized from external sources, e.g. the command-line, configuration files, environment variables, etc.

It works by providing a simple way for classes to define parameters that will be initialized from external sources, e.g. the command-line, configuration files, environment variables, etc.

Library for making command-line applications in python.

More broadly, it's a framework for creating objects with parameters that can read default values from multiple sources, e.g. the command-line, config files, environmnt variables, etc.

for defining object parameters that can query multiple sources---e.g. the command-line, configuration files, environment variables, etc.--- default parameters of an object

Philosophy

  • Params from any source;

Benefits

  • Params from any source
  • objects usable from python

Example

  • Can't have so many comments; makes it hard to grok.

  • Just want to give a sense of what it looks like.

  • Advanced users will want to see the syntax to get a sense of how it works.

  • Features to include:

    • cast?

      • int/float: do some math thing?
    • default?

    • at least two configs

      • docopt
      • appcli?
      • env var?

.. image:: https://img.shields.io/pypi/v/appcli.svg :target: https://pypi.python.org/pypi/appcli

.. image:: https://img.shields.io/pypi/pyversions/appcli.svg :target: https://pypi.python.org/pypi/appcli

.. image:: https://img.shields.io/readthedocs/appcli.svg :target: https://appcli.readthedocs.io/en/latest/?badge=latest

.. image:: https://img.shields.io/github/workflow/status/kalekundert/appcli/Test%20and%20release/master :target: https://github.com/kalekundert/appcli/actions

.. image:: https://img.shields.io/coveralls/kalekundert/appcli.svg :target: https://coveralls.io/github/kalekundert/appcli?branch=master

AppCLI is a Library for making command line apps. You can also think of it as a library for initializing objects with values from disparate sources, e.g.
config files, environment variables, command-line options, etc. It's philosophy is that (i) it should be easy to incorporate options from the command line and config files, and (ii) the object should remain usable as a normal object in python.

Usage

The following snippets introduce the basic concepts behind appcli::

import appcli
from appcli import DocoptConfig, AppDirsConfig, Key


# Inheriting from App will give us the ability to instantiate MyApp objects 
# without calling the constructor, i.e. exclusively using information from 
# the command-line and the config files.  We'll take advantage of this in 
# the '__main__' block at the end of the script:

class MyApp(appcli.App):
    """
Do a thing.

Usage:
    myapp <x> [-y]
"""
    
    # The `__config__` class variable defines locations to search for 
    # parameter values.  In this case, we specify that `docopt` should be 
    # used to parse command line arguments, and that `appdirs` should be 
    # used to find configuration files.  Note however that appcli is not 
    # tied to any particular command-line argument parser or file format.  
    # A wide variety of `Config` classes come with `appcli`, and it's also 
    # easy to write your own.

    __config__ = [
            DocoptConfig(),
            AppDirsConfig(),
    ]
    
    # The `appcli.param()` calls define attributes that will take their 
    # value from the configuration source specified above.  For example, 
    # the `x` parameter will look for an argument named `<x>` specified on 
    # the command line.  The `y` parameter is similar, but will also (i) 
    # look for a value in the configuration files if none if specified on 
    # the command line, (ii) convert the value to an integer, and (iii) use 
    # a default of 0 if no other value is found.

    x = appcli.param(
            Key(DocoptConfig, '<x>'),
    )
    y = appcli.param(
            Key(DocoptConfig, '-y'),
            Key(AppDirsConfig, 'y'),
            cast=int,
            default=0,
    )

    # Define a constructor because we want this object to be fully usable 
    # from python.  Because <x> is a required argument on the command line, 
    # it makes sense for it to be a required argument to the constructor as 
    # well.

    def __init__(self, x):
        self.x = x

    # Define one or more methods that actually do whatever this application 
    # is supposed to do.  These methods can be named anything; think of 
    # MyApp as a totally normal class by this point.  Note that `x` and `y` 
    # can be used exactly like regular attributes.

    def main(self):
        return self.x * self.y

# Invoke the application from the command line.  Note that we can't call 
# the constructor because it requires an `x` argument, and we don't have 
# that information yet (because it will come from the command line).  
# Instead we use the `from_params()` method provided by `appcli.App`.  This 
# constructs an instance of MyApp without calling the construtor, instead 
# depending fully on the command-line and the configuration files to 
# provide values for every parameter.  The call to `appcli.load()` triggers 
# the command line to be parsed, such that the `app` instance is fully 
# initialized when the `main()` method is called.

if __name__ == '__main__':
    app = Main.from_params()
    appcli.load(app)
    app.main()

Note that we could seamlessly use this object in another python script::

from myapp import MyApp

# Because we don't call `appcli.load()` in this script, the command line 
# would not be parsed.  The configuration files would still be read, 
# however.  In the snippet below, for example, the value of `app.y` could 
# come from the configuration file.  See `Config.autoload` for more 
# information on controlling which configs are used in which contexts.

app = MyApp('abc')
app.main()

Examples

For some examples of appcli being used in real scripts, check out the Stepwise — Molecular Biology__ repository. Almost every script in this repository uses appcli. Below are some particular scripts that might be useful:

Simple scripts:

  • aliquot.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/aliquot.py>_
  • anneal.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/anneal.py>_
  • kld.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/kld.py>_

Long but straight-forward scripts:

  • pcr.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/pcr.py>_
  • spin_cleanup.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/spin_cleanup.py>_
  • gels/gel.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/gels/gel.py>_
  • gels/stain.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/gels/stain.py>_

Complex scripts:

  • serial_dilution.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/serial_dilution.py>_

    This script features parameters that depend on other parameters.
    Specifically, the user must provide values for any three of volume, conc_high, conc_low, and factor. Whichever one isn't specified is inferred from the ones that are. This is implemented by making the appcli parameters (which in this case read only from the command-line and not from any config files) private, then adding public properties that are calculated from the private ones.

  • digest.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/digest.py>_

    This script is actually pretty simple, but it makes used of __bareinit__() to download some data from the internet. As alluded to above, __init__() is not called when App instances are initialized from the command-line, because __init__() might require arbitrary arguments and is therefore considered to be part of the python API. Instead, App instances are initialized by calling __bareinit__() with no arguments.

  • ivtt.py <https://github.com/kalekundert/stepwise_mol_bio/blob/master/stepwise_mol_bio/ivtt.py>_

    This script defines a custom Config class to read from a sequence database. (This example might go out of date, though; I have plans to move that custom Config into a different package.)

__ https://github.com/kalekundert/stepwise_mol_bio

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