Scope and Prerequisites

This rather long blog entry basically consists of two parts:

  • In the first part “Motivation” we will learn a few reasons on why to wrap a command line tool (in Python) around an existing REST interface.
  • If you are not interested in that, but want to know how to build a command line tool skip to the second part – “Ingredients“, “Project Structure” and “Installation“.
  • There, we will learn what we need to create a most basic and simple command line tool, that will enable us to query the publicly available Pokéapi which is a RESTful Pokémon API. We will name the tool “pokepy”. It will retrieve the name of a Pokémon from the Pokéapi based on the Pokémon’s number. From there you can go ahead and write a more complex and extensive command line tool yourself with your own custom logic and your own data source API.

The interface will be as easy as calling

pokepy pokemon id=1

This educational tool is available on You only need basic Python knowledge to follow along.

The Pokeapi REST service:


Writing a command line tool can be very handy for various reasons – not only to easily obtain Pokémon information. Imagine you have a data source available as RESTful API, such as the Pokéapi. If you wanted to use an API like this just to look up information occasionally, you could put an often quite long query into your browser, fill in the parameters and press enter. The result would show in your browser. Often a REST API exposes more information than you actually need in your daily life and you would need to use your browser search function to get to the data point you need.

You could also use a command line tool like “curl” to query the API, which brings in another advantage. You can now send these requests within a bash script.


For simple queries like this you could then parameterize the URL by setting it in an environment variable. This is easier to remember as well as easier and faster to type.

export POKEURL=;
curl $POKEURL/150/

Now, why do we want to wrap something like this into a python command line tool, when the above command already looks so easy? There are several reasons:

  • We are only doing GET requests for now. Other APIs allow you to do all sorts of REST calls (PUT, POST, DELETE), which makes it complex to parameterize using environment variables. Wrapping it into Python logic makes the API once again more accessible and user friendly.
  • Also, if you have a look at the Pokéapi you notice that you can not only query for Pokémon, but also for types and abilities. This introduces another level of complexity in building the URL string with environment variables (,, This task can be tackled more elegantly in Python.
  • Additionally, a (Python) command line tool proves really useful, when you want to do REST calls against an API, that changes the state of the underlying system.
    This is easier to write, read, configure and memorize:

    example-tool put state=up

    than this:

    curl -H 'Content-Type: application/json' -X PUT -d '{state:up}'
  • You can put a lot of custom logic into the command line tool to transform data, merge data from two or more different APIs, make calculations and customize the output to be either human or machine readable, or both.


We will be using the docopt module as a command line argument parser, as well as requests to send the request to the Pokéapi. We will also need to have python-pip installed. Python pip can be installed easily via your favourite package manager. On Ubuntu you would do:

sudo apt-get install python-pip

There are many other libraries out there to parse command line arguments or send HTTP requests. This should merely serve as an example.

Project Structure

The minimum requirements on the project structure are the following.

├── pokepy
│  ├──

In my github repo you see a few more files, which are necessary to put the module into the Python Package Index. More on packaging a module can be found here.

The following sections explain and describe the essence of these files:


This file serves as the entry point of our command line tool, it is also the required file to specify that this is actually a module and it contains all of our logic. Usually, we would separate these three things, but for simplicity we just keep it in one file. Below you can see the code:

  • Since we are using docopt, lines 1 to 8 completely define the usage of the command line interface. If an end user does not follow the rules defined in this doc string interface, the usage doc string will be printed to the screen.
  • The entry point of the script is on line 51.
  • On line 55 we import the docopt module.
  • If end users follow the rules defined in the doc string, the command line arguments will be parsed on line 56.
  • Lines 57 and 58 read out the parsed command line arguments, by calling the two functions on lines 17 and 29.
  • On line 59 the actual logic of the tool “call_pokeapi(path, id_number)” is called.
  • call_pokeapi(path, id_number) builds the URL and utilizes the requests module to do the REST call. If the default key “name” exists in the REST call, the value of the json response is returned. If the default key “name” does not exist, the assumption here is that we are out of range of existing Pokemons and therefore receive an error message response. This response has only one key: “detail”. In this case we print out the value of “detail” (which is expected to be “Not found.” 🙂 )
    pokepy (pokemon | type | ability) --id=ID

    -i --id=ID # specify the id of the pokemon, type or ability
    -h --help # Show this help

import requests

POKEAPI = '{path}/{id}'

def get_api_path(arguments):
    Get pokemon or type or ability command from command line
    paths = ['pokemon', 'type', 'ability']
    for path in paths:
        if arguments[path]:
    return path

def get_id(arguments):
    Get id from command line arguments.
    return arguments['--id']

def call_pokeapi(path, id_number, key='name'):
    Call the RESTful PokeAPI and parse the response. If pokemon, ability or
    type ids are not found than the error message detail is returned.
    url = POKEAPI.format(path=path, id=id_number)
    response = requests.get(url)
    response_json = response.json()
        res = response_json[key]
        res = response_json['detail']
    return res

def __main__():
    Entrypoint of command line interface.
    from docopt import docopt
    arguments = docopt(__doc__, version='0.1.0')
    path = get_api_path(arguments)
    id_number = get_id(arguments)
    print(call_pokeapi(path, id_number))

Now we need to tell Python, that we want to use our module as a command line tool, after installing it. Have a look at the code below:

  • Lines 1 to 9 are basically boiler plate and don’t do much.
  • Then the setup method is called with a lot of partly self explanatory and partly boring parameters. What we really need here are the following two parameters:
    • install_requires where we specify a list of dependencies that will be installed by pip, if the requirements are not already satisfied.
    • entry_points where we specify an entry point “console_scripts” in a dictionary. The value pokepy=pokepy:__main__ means, that when we call “pokepy” from the command line, the __main__ method of the pokepy module will be called.
pokepy setup module

from setuptools import setup, find_packages
from codecs import open
from os import path

here = path.abspath(path.dirname(__file__))

    description='A Pokeapi wrapper command line tool',
    author='Stefan Kupstaitis-Dunkler',
    license='Apache 2.0',
        'Development Status :: 3 - Alpha'

    keywords='Pokeapi REST client wrapper command line interface',
    install_requires=['docopt', 'requests'],

        'console_scripts': [


The only thing that’s left is to install our tool and put it to use. I would recommend you to do it in an own virtual environment, but it is not mandatory. In the project directory do:

# this will create a new virtual python environment in the env directory
virtualenv env
# this will activate the environment (now you can install anything into this environment without affecting the rest of the environment)
source env/bin/activate
# install the pokepy module into your virtual environment
pip install -e .

Congratulations you can now go ahead and use your command line tool for example like this (the $ symbol represents the command prompt):

$ pokepy pokemon -i 25


We saw why it is useful to wrap an API into a command line interface and how it is done in Python. Now you know everything to go ahead and create more useful tools with a more complex logic by just extending this module fit to your needs.