A simple parser for Fountain, a markup language for formatting screenplays. Originally based on Matt Daly's Fountain.js.
Special thanks to Nathan Hoad for the Fountain-js package namespace.
Supports up to v 1.1
of the Fountain syntax.
npm install fountain-js
Import Fountain
and create a new instance of it.
import { Fountain } from 'fountain-js';
let fountain = new Fountain();
An extended example.
import { Fountain } from 'fountain-js';
import * as assert from 'assert';
const text = `.OPENING TITLES
> BRICK & STEEL <
> FULL RETIRED <
SMASH CUT TO:`;
let fountain = new Fountain();
let output = fountain.parse(text);
let actual = output.html.script;
const expected = '<h3>OPENING TITLES</h3><p class="centered">BRICK & STEEL <br /> FULL RETIRED</p><h2>SMASH CUT TO:</h2>';
assert.strictEqual(actual, expected);
The output provided by Fountain-js is an object literal in the format { title: '...', html: { title_page: '...', script: '...' } }
.
Fountain-js is natively written in Typescript, therefore a Script
interface is also available:
interface Script {
title: string;
html: {
title_page: string,
script: string
};
tokens: Token[];
}
If you want access to the tokens that Fountain-js generates, simply attach a true
parameter to your parse
calls. Requesting tokens adds a tokens
property to the Script object generated by Fountain-js.
let output = fountain.parse(script, true);
console.log(output.tokens);
Alternatively, you can also access the tokens directly from the tokens
property of the class after parsing as well.
let output = fountain.parse(script);
console.log(fountain.tokens);
Version 1.0
of Fountain-js creates a flat token strucure and is not like a usual AST.
Below is a small sample of the tokens
output from Brick & Steel:
[
...,
{ type: "scene_heading", text: "EXT. BRICK'S PATIO - DAY", scene_number: "1"},
{ type: "action", text: "A gorgeous day. The su...emplating -- something."},
{ type: "action", text: "The SCREEN DOOR slides ...es with two cold beers."},
{ type: "dialogue_begin"},
{ type: "character", text: "STEEL"},
{ type: "dialogue", text: "Beer's ready!"},
{ type: "dialogue_end"},
{ type: "dialogue_begin"},
{ type: "character", text: "BRICK"},
{ type: "dialogue", text: "Are they cold?"},
{ type: "dialogue_end"},
{ type: "page_break"},
{ type: "dialogue_begin"},
{ type: "character", text: "STEEL"},
{ type: "dialogue", text: "Does a bear crap in the woods?"},
{ type: "dialogue_end"},
{ type: "action", text: "Steel sits. They laugh at the dumb joke."},
{ type: "dialogue_begin"},
{ type: "character", text: "STEEL"},
{ type: "parenthetical", text: "(beer raised)"},
{ type: "dialogue", text: "To retirement."},
{ type: "dialogue_end"},
{ type: "dialogue_begin"},
{ type: "character", text: "BRICK"},
{ type: "dialogue", text: "To retirement."},
{ type: "dialogue_end"}
...
]
As shown above, Fountain-js attaches some extra tokens, such as 'dialogue_begin'
and 'dialogue_end'
to block together dialogue sections.
In the case of dual dialogue, this allows Fountain-js to attach a dual
property to blocks of dialogue at the dialogue_begin
token to indicate page positioning.
[
...
{ type: 'action', text: 'The men look at each other.' },
{ type: 'dual_dialogue_begin'},
{ type: 'dialogue_begin', dual: 'left'},
{ type: 'character', text: 'STEEL' },
{ type: 'dialogue', text: 'Screw retirement.' },
{ type: 'dialogue_end'},
{ type: 'dialogue_begin', dual: 'right'},
{ type: 'character', text: 'BRICK' },
{ type: 'dialogue', text: 'Screw retirement.' },
{ type: 'dialogue_end'},
{ type: 'dual_dialogue_end'},
{ type: 'transition', text: 'SMASH CUT TO:' }
...
]
Additionally, Fountain-js provides a Typescript interface for a Token
as follows:
interface Token {
type: string;
is_title?: boolean;
text?: string;
scene_number?: string;
dual?: string;
depth?: number;
addTo(tokens: Token[]): Token[];
}
Originally, the text within tokens would have their inline markup, e.g. emphasis, underline, or line breaks, converted to HTML; however, given some use cases, this is not practical for all library users.
As of version 1.1.2
, any inline markup will remain unchanged in the token text.
[
...
{ type: 'action', text: 'Screaming, chaos, *frenzy*.\nThree words that apply to this scene.' },
...
]
This means you'll have to perform an inline lex on the token text when processing your tokens.
As a suggestion, one can import and extend the InlineLexer
class. Its inline
property and reconstruct
method can be overwritten and modified to suit your needs if something other than HTML output is desired.
For those looking for Fountain.ts, please note that this package has been deprecated in its original form and is now Fountain-js. Please source and upgrade packages from the Fountain-js NPM package to receive all updates and fixes.