June 30, 2020

Build Your Own Domain Specific Language in Python With textX

54 minutes

Summary

Programming languages are a powerful tool and can be used to create all manner of applications, however sometimes their syntax is more cumbersome than necessary. For some industries or subject areas there is already an agreed upon set of concepts that can be used to express your logic. For those cases you can create a Domain Specific Language, or DSL to make it easier to write programs that can express the necessary logic with a custom syntax. In this episode Igor Dejanović shares his work on textX and how you can use it to build your own DSLs with Python. He explains his motivations for creating it, how it compares to other tools in the Python ecosystem for building parsers, and how you can use it to build your own custom languages.

Announcements

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Your host as usual is Tobias Macey and today I’m interviewing Igor Dejanović about textX, a meta-language for building domain specific languges in Python

Interview

Introductions

How did you get introduced to Python?

Can you start by describing what a domain specific language is and some examples of when you might need one?

What is textX and what was your motivation for creating it?

There are a number of other libraries in the Python ecosystem for building parsers, and for creating DSLs. What are the features of textX that might lead someone to choose it over the other options?

What are some of the challenges that face language designers when constructing the syntax of their DSL?

Beyond being able to parse and process an arbitrary syntax, there are other concerns for consumers of the definition in terms of tooling. How does textX provide support to those end users?

How is textX implemented?

How has the design or goals of textX changed since you first began working on it?

What is the workflow for someone using textX to build their own DSL?

Once they have defined the grammar, how do they distribute the generated interpreter for others to use?

What are some of the common challenges that users of textX face when trying to define their DSL?

What are some of the cases where a PEG parser is unable to unambiguously process a defined grammar?

What are some of the most interesting/innovative/unexpected ways that you have seen textX used?

What have you found to be the most interesting, unexpected, or challenging lessons that you have learned while building and maintaining textX and its associated projects?

While preparing for this interview I noticed that you have another parser library in the form of Parglare. How has your experience working with textX informed your designs of that project?

What lessons have you taken back from Parglare into textX?

When is textX the wrong choice, and someone might be better served by another DSL library, different style of parser, or just hand-crafting a simple parser with a regex?

What do you have planned for the future of textX?

Keep In Touch

Website

igordejanovic on GitHub

@dejanovicigor on Twitter

Picks

Tobias

wemake-python-styleguide

Igor

Interactive Fiction genre

Awesome Interactive Fiction

The Interactive Fiction Database

TADS

Inform 7

Closing Announcements

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Links

textX

U of Novi Sad

Serbia

DSL course

Secondary Notation

Django

Xtext

Eclipse

PLY

SLY

PyParsing

Lark

PEG Grammar

Language Workbench

Language Server Protocol

Visual Studio Code

textX-LS

Arpeggio Parser

Context-Free Grammar

pyTabs

Guitar Tablatures

Parglare

GLR parsing

TEP 1

Evennia

Podcast Episode

The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

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By Tobias Macey

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