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A data serialization language, and library, with support for functions.

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FlatMatter

A YAML-like data serialization language with support for functions. FlatMatter is considered feature-complete and is intentionally kept simple. Bug fixes and performance improvements are still made, of course.

Example FlatMatter:

title: "My Blog"
last_updated: (get-content "posts") / (limit 1) / (get "published_at") / (date "YYYY-mm-dd")
posts: "posts" / get-content

FlatMatter aims to be more-or-less syntactically compatible with YAML for the simple reason of not needing new editor plugins to have syntax highlighting, but it differs in that there is no indentation, but instead dots to indicate hierarchy, like site.title which would result in a site object that contains the title key.

FlatMatter also supports functions, allowing you to build your own data DSL, and functions can also be piped with the forward slash / character, meaning that the result of the left operation will be passed as the first argument of the next function, and so on, to produce an end result.

Additionally, FlatMatter also parses FrontMatter content, meaning that a FlatMatter file like this:

---
title: "Hello, World!"
---

Content goes here.

Would result in this data being created:

{
    "title": "Hello, World!",
    "content": "Content goes here."
}

Install

npm i flatmatter

Usage

The most basic usage looks like this:

import {FlatMatter, ToObject} from 'flatmatter';

const fm = new FlatMatter('key: "value"');
const config = fm.serialize(new ToObject);

// {key: "value"}

However, you most likely want to use it with functions. Those you have to create yourself.

TypeScript:

import {FlatMatterFn} from "flatmatter";

class ToUpper implements FlatMatterFn {
  name = "to-upper";

  compute(input: string): unknown {
    return input.toUpperCase();
  }
}

JavaScript:

class ToUpper {
  name = "to-upper";

  compute(input) {
    return input.toUpperCase();
  }
}

A FlatMatter function has to implement the FlatMatterFn interface. And like I mentioned before, a thing to keep in mind is that if the function is piped, the first argument passed to it will be the result of the previous operation.

Once you have your functions, simply pass them to FlatMatter like this:

import {FlatMatter, ToObject} from 'flatmatter';

const fm = new FlatMatter('key: "value" / to-upper', [new MyFunction()]);
const config = fm.serialize(new ToObject());

// {key: "VALUE"}

Note: if you don't like classes, you can also pass objects that have the name key and the compute callback function.

Serializers

FlatMatter comes built-in with two very simple serializers: ToObject and ToJson. You can create your own by creating a class that implements the Serializer interface.

TypeScript:

import {Matter, Serializer} from 'flatmatter';

class ToJson implements Serializer {
  serialize(parsedConfig: Matter): string {
    return JSON.stringify(parsedConfig);
  }
}

JavaScript:

class ToJson {
  serialize(parsedConfig) {
    return JSON.stringify(parsedConfig);
  }
}

Note: if you don't like classes, you can also pass objects that have the serialize callback function.

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