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      How To Use argparse to Write Command-Line Programs in Python


      The author selected the COVID-19 Relief Fund to receive a donation as part of the Write for DOnations program.

      Introduction

      Python’s argparse standard library module is a tool that helps you write command-line interfaces (CLI) over your Python code. You may already be familiar with CLIs: programs like git, ls, grep, and find all expose command-line interfaces that allow you to call an underlying program with specific inputs and options. argparse allows you to call your own custom Python code with command-line arguments similar to how you might invoke git, ls, grep, or find using the command line. You might find this useful if you want to allow other developers to run your code from the command line.

      In this tutorial, you’ll use some of the utilities exposed by Python’s argparse standard library module. You’ll write command-line interfaces that accept positional and optional arguments to control the underlying program’s behavior. You’ll also self-document a CLI by providing help text that can be displayed to other developers who are using your CLI.

      For this tutorial, you’ll write command-line interfaces for a program that keeps track of fish in a fictional aquarium.

      Prerequisites

      To get the most out of this tutorial, we recommend you have:

      • Some familiarity with programming in Python 3. You can review our How To Code in Python 3 tutorial series for background knowledge.

      Writing a Command-Line Program that Accepts a Positional Argument

      You can use the argparse module to write a command-line interface that accepts a positional argument. Positional arguments (as opposed to optional arguments, which we’ll explore in a subsequent section), are generally used to specify required inputs to your program.

      Let’s consider an example CLI that prints the fish in an aquarium tank identified by a positional tank argument.

      To create the CLI, open a file with your text editor:

      Then, add the following Python code:

      aquarium.py

      import argparse
      
      tank_to_fish = {
          "tank_a": "shark, tuna, herring",
          "tank_b": "cod, flounder",
      }
      
      parser = argparse.ArgumentParser(description="List fish in aquarium.")
      parser.add_argument("tank", type=str)
      args = parser.parse_args()
      
      fish = tank_to_fish.get(args.tank, "")
      print(fish)
      

      You can print out the fish in tank_a by running:

      • python3 aquarium.py tank_a

      After running that command, you will receive output like the following:

      Output

      shark, tuna, herring

      Similarly, if you ran aquarium.py to print out the fish in tank_b with:

      • python3 aquarium.py tank_b

      You would receive output like the following:

      Output

      cod, flounder

      Let’s break down the code in aquarium.py.

      First, you import the argparse module to make it available for use in your program. Next, you create a dictionary data structure tank_to_fish that maps tank names (like tank_a and tank_b) to string descriptions of fish held in those tanks.

      You instantiate an instance of the ArgumentParser class and bind it to the parser variable. You can think of parser as the main point of entry for configuring your command-line interface. The description string provided to parser is—as you’ll learn later—used in the automatically generated help text for the CLI exposed by aquarium.py.

      Calling add_argument on parser allows you to add arguments accepted by your command-line interface. In this case, you add a single argument named tank that is a string type. Calling parser.parse_args() instructs parser to process and validate the command-line input passed to aquarium.py (for example, something like tank_a). Accessing the args returned by parser.parse_args() allows you to retrieve the value of the passed in tank argument, and use it to print out the fish in that tank.

      At this point, you’ve written a command-line interface and executed your program to print fish. Now you need to describe how your CLI works to other developers. argparse has strong support for help text to document your CLIs. You’ll learn more about help text next.

      Viewing Help Text

      The aquarium.py file you just wrote in the previous section actually does more than print the fish in a specific tank. Since you’re using argparse, the command-line interface exposed by aquarium.py will automatically include help and usage messages that a user can consult to learn more about your program.

      Consider, for example, the usage message aquarium.py prints if you provide invalid arguments on the command line. Try invoking aquarium.py with the wrong arguments on the command line by running:

      • python3 aquarium.py --not-a-valid-argument

      If you run this command, you’ll receive output like this:

      Output

      usage: aquarium.py [-h] tank aquarium.py: error: the following arguments are required: tank

      The output printed on the command line indicates that there was an error trying to run aquarium.py. The output indicates that the user needs to invoke aquarium.py with a tank argument. Something else you might notice is the -h in-between [] characters. This denotes that -h is an optional argument that you can provide as well.

      Now you’ll find out what happens when you call aquarium.py with the -h option. Try invoking aquarium.py with the -h argument on the command line by running:

      If you run this command, you’ll receive output like this:

      Output

      usage: aquarium.py [-h] tank List fish in aquarium. positional arguments: tank optional arguments: -h, --help show this help message and exit

      As you may have guessed, the -h option is short for, “help.” Running python3 aquarium.py -h (or, equivalently, the longer variant python3 aquarium.py --help) prints out the help text. The help text, effectively, is a longer version of the usage text that was outputted in the previous example when you supplied invalid arguments. Notably, the help text also includes the custom description string of List fish in an aquarium that you instantiated the ArgumentParser with earlier on in this tutorial.

      By default, when you write a CLI using argparse you’ll automatically get help and usage text that you can use to document your CLI for other developers.

      So far, you’ve written a CLI that accepts a required positional argument. In the next section you’ll add an optional argument to your interface to expand on its capabilities.

      Adding an Optional Argument

      Sometimes, it’s helpful to include optional arguments in your command-line interface. These options are typically prefixed with two dash characters, for example --some-option. Let’s rewrite aquarium.py with the following adjusted content that adds an --upper-case option to your CLI:

      aquarium.py

      import argparse
      
      tank_to_fish = {
          "tank_a": "shark, tuna, herring",
          "tank_b": "cod, flounder",
      }
      
      parser = argparse.ArgumentParser(description="List fish in aquarium.")
      parser.add_argument("tank", type=str)
      parser.add_argument("--upper-case", default=False, action="store_true")
      args = parser.parse_args()
      
      fish = tank_to_fish.get(args.tank, "")
      
      if args.upper_case:
          fish = fish.upper()
      
      print(fish)
      

      Try invoking aquarium.py with the new --upper-case argument by running the following:

      • python3 aquarium.py --upper-case tank_a

      If you run this command, you’ll receive output like this:

      Output

      SHARK, TUNA, HERRING

      The fish in tank_a are now outputted in upper case. You accomplished this by adding a new --upper-case option when you called parser.add_argument("--upper-case", default=False, action="store_true"). The "--upper-case" string is the name of the argument you’d like to add.

      If the --upper-case option isn’t provided by the user of the CLI, default=False ensures that its value is set to False by default. action="store_true" controls what happens when the --upper-case option is provided by the CLI user. There are a number of different possible strings supported by the action parameter, but "store_true" stores the value True into the argument, if it is provided on the command line.

      Note that, although the argument is two words separated by a dash (upper-case), argparse makes it available to your code as args.upper_case (with an underscore separator) after you call parser.parse_args(). In general, argparse converts any dashes in the provided arguments into underscores so that you have valid Python identifiers to reference after you call parse_args().

      As before, argparse automatically creates a --help option and documents your command-line interface (including the --upper-case option you just added).

      Try invoking aquarium.py with the --help option again to receive the updated help text:

      • python3 aquarium.py --help

      Your output will be similar to:

      Output

      usage: aquarium.py [-h] [--upper-case] tank List fish in aquarium. positional arguments: tank optional arguments: -h, --help show this help message and exit --upper-case

      argparse automatically documented the positional tank argument, the optional --upper-case option, and the built-in --help option as well.

      This help text is useful, but you can improve it with additional information to help users better understand how they can invoke your program. You’ll explore how to enhance the help text in the next section.

      Exposing Additional Help Text to Your Users

      Developers use the help text provided by your command-line interfaces to understand what your program is capable of and how they should use it. Let’s revise aquarium.py again so it includes better help text. You can specify argument-level information by specifying help strings in the add_argument calls:

      aquarium.py

      import argparse
      
      tank_to_fish = {
          "tank_a": "shark, tuna, herring",
          "tank_b": "cod, flounder",
      }
      
      parser = argparse.ArgumentParser(description="List fish in aquarium.")
      parser.add_argument("tank", type=str, help="Tank to print fish from.")
      parser.add_argument(
          "--upper-case",
          default=False,
          action="store_true",
          help="Upper case the outputted fish.",
      )
      args = parser.parse_args()
      
      fish = tank_to_fish[args.tank]
      
      if args.upper_case:
          fish = fish.upper()
      
      print(fish)
      

      Try invoking aquarium.py with the --help option again to receive the updated help text:

      • python3 aquarium.py --help

      Your output will be the following:

      Output

      usage: aquarium.py [-h] [--upper-case] tank List fish in aquarium. positional arguments: tank Tank to print fish from. optional arguments: -h, --help show this help message and exit --upper-case Upper case the outputted fish.

      In this latest output, notice that the tank positional argument and the --upper-case optional argument both include custom help text. You provided this extra help text by supplying strings to the help part of add_argument. (For example, parser.add_argument("tank", type=str, help="Tank to print fish from.").) argparse takes these strings and renders them for you in the help text output.

      You can improve your help text further by having argparse print out any default values you have defined.

      Displaying Default Values in Help Text

      If you use a custom formatter_class when you instantiate your ArgumentParser instance, argparse will include default values in the help text output. Try adding argparse.ArgumentDefaultsHelpFormatter as your ArgumentParser formatter class:

      aquarium.py

      import argparse
      
      tank_to_fish = {
          "tank_a": "shark, tuna, herring",
          "tank_b": "cod, flounder",
      }
      
      parser = argparse.ArgumentParser(
          description="List fish in aquarium.",
          formatter_class=argparse.ArgumentDefaultsHelpFormatter,
      )
      parser.add_argument("tank", type=str, help="Tank to print fish from.")
      parser.add_argument(
          "--upper-case",
          default=False,
          action="store_true",
          help="Upper case the outputted fish.",
      )
      args = parser.parse_args()
      
      fish = tank_to_fish[args.tank]
      
      if args.upper_case:
          fish = fish.upper()
      
      print(fish)
      

      Now, try invoking aquarium.py with the --help option again to check the updated help text:

      • python3 aquarium.py --help

      After running this command, you’ll receive output like this:

      Output

      usage: aquarium.py [-h] [--upper-case] tank List fish in aquarium. positional arguments: tank Tank to print fish from. optional arguments: -h, --help show this help message and exit --upper-case Upper case the outputted fish. (default: False)

      In this latest output, notice that the documentation for --upper-case ends with an indication of the default value for the --upper-case option (default: False). By including argparse.ArgumentDefaultsHelpFormatter as the formatter_class of your ArgumentParser, argparse automatically started rendering default value information in its help text.

      Conclusion

      The argparse module is a powerful part of the Python standard library that allows you to write command-line interfaces for your code. This tutorial introduced you to the foundations of argparse: you wrote a command-line interface that accepted positional and optional arguments, and exposed help text to the user.

      argparse supports many more feautures that you can use to write command-line programs with sophisticated sets of inputs and validations. From here, you can use the argparse module’s documentation to learn more about other available classes and utilities.



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      Command-line Your Way to PaaS Productivity With DigitalOcean App Platform


      Video

      About the Talk

      In this new world of PaaS, what will happen to our traditional infrastructure? Does a PaaS render IaaS obsolete? PaaS and IaaS don’t need to be in competition with each other; PaaS is just another tool on our toolbelt for getting the job done. In this live coding session, we use Terraform to deploy both DigitalOcean App Platform apps and traditional Infrastructure-as-a-Service components that work together to meet our needs.

      What You’ll Learn

      • How to use App Platform Spec [https://github.com/do-community/rss-reader-app-platform-spec]
      • Define your own spec file and deploy multiple components at once
      • Deploy an app with doctl and your own custom spec

      Resources

      About the Presenter

      Mason Egger is currently a Developer Advocate at DigitalOcean specializing in cloud infrastructure, distributed systems, and Python. Prior to his work at DigitalOcean he was an SRE helping build and maintain a highly available hybrid multicloud PaaS. He is an avid programmer, musician, educator, and writer/blogger.



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