@michaelhartmayer/string-theory v1.0.1

StringTheory

NOTE: GPT made this README.md 😆 It was late. Grain of salt.

StringTheory is a JavaScript library for building strings dynamically. It provides a fluent interface to add, modify, and manipulate strings in a more readable and maintainable way. It supports conditional addition, iteration over arrays, and more.

Installation

Use the package manager npm to install StringTheory.

npm install @michaelhartmayer/string-theory

# or

yarn add @michaelhartmayer/string-theory

Usage

StringTheory provides a context that contains several methods to manipulate strings:

• add(s): Adds a string or a function that returns a string to the current context.
• render(): Returns the final string.
• if(condition): If the condition is true, returns the main context, otherwise returns a fake context that ignores all method calls until the next if statement.
• each(prefix, lines, suffix, delimiter): Iterates over the lines array, adding a prefix and suffix to each line, and joining them with the delimiter.
• clear(): Clears the current string.
• json(o, spaces): Converts an object to a JSON string and adds it to the current context.
• n(n): Adds n new lines to the current context.

Here is an example of how to use StringTheory:

const StringTheory = require('@michaelhartmayer/string-theory')

const prompt = new StringTheory()
const people = ['peter', 'paul', 'mary']
const places = {
  state: 'california',
  city: 'escondido'
}

const smile = cx => {
  cx.n().add(';(')
  cx.add(';)').n()
}

prompt.add('hello')
prompt.add('how are you')
prompt.if(true).add('nice').n()

prompt.if(false).add('shouldnt be here')
prompt.json(places).n(1)

prompt.each('- ', people, ',')
prompt.add(smile)

const r = prompt.render()

console.log(r)

This will output:

hello
how are you
nice

{
  "state": "california",
  "city": "escondido"
}

- peter,
- paul,
- mary,

;(
;)

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT