dsl-toolkit v0.0.2

DSL Toolkit

A toolkit to create domain specific languages (DSL) and evaluate/execute them all within Javascript / Typescript.

Roadmap

This tool is currently more of a concept than a working implementation! It is not ready for general use.

The first goal is to create a tokenizer that can:

• handle nesting
• tokenize a data stream (even if data is highly nested)
• successfully tokenize various data (assuming it is provided sufficient tokenization rules) such as:
  • Math expressions
  • JSON
  • YAML
  • XML
  • English
  • Japanese

Once the tokenizer is developed, I will attempt to implement a generic evaluator system. Ideally this evaluator would be able to:

- evaluate math/code style tokenized input and return a result
- evaluate human language (statements) to build knowledge graphs
- evaluate human language (questions) to to query a knowledge graph

Usage

First you must initialize your Tokenizer, passing in a list of contexts. Each context contains an array of functions that create specific token types. This is how you define the syntax/token types of your DSL.

Once your tokenizer is initialized, simply call the tokenize function to tokenize your string. Here is an example:

const contexts = {
    sentence: [
        (next) => {
            let token = '';
            while (true) {
                const c = next();
                if (c && c.match(/[a-zA-Z]/)) {
                    token += c;
                } else {
                    break;
                }
            }
            return token.length > 0 ? { type: 'word', token } : null;
        }
    ],
};

const tokenizer = new Tokenizer(contexts, 'sentence');
console.log(tokenizer.tokenize('Hello world'));