Style Dictionary Transforms for Tokens Studio
Note: this README contains examples that assume latest version of this package & v4 style-dictionary latest prerelease.
Table of contents
This package contains custom transforms for Style-Dictionary,
to work with Design Tokens that are exported from Tokens Studio:
Generic:
- Optionally excludes parent keys from your tokens file, e.g. when using single-file export from Tokens Studio Figma plugin -> preprocessor
- Maps token descriptions to comments ->
ts/descriptionToComment
- Check and evaluate Math expressions (transitive) ->
ts/resolveMath
- Transform dimensions tokens to have
px
as a unit when missing (transitive) -> ts/size/px
- Transform opacity from
%
to number between 0
and 1
-> ts/opacity
- Transform lineheight from
%
to unitless (150% -> 1.5) -> ts/size/lineheight
- Transform fontweight from keynames to fontweight numbers (100, 200, 300 ... 900) ->
ts/typography/fontWeight
- Transform color modifiers from Tokens Studio to color values ->
ts/color/modifiers
CSS:
- Transform letterspacing from
%
to em
-> ts/size/css/letterspacing
- Transform colors to
rgba()
format -> ts/color/css/hexrgba
- Transform shadow "type" property "innerShadow" to "inset" ->
ts/shadow/innerShadow
Android:
- Transform typography objects to Android Compose shorthand ->
ts/typography/compose/shorthand
Registers the generic and CSS transforms as a transform group called tokens-studio
.
Installation
With NPM:
npm install @tokens-studio/sd-transforms
Compatibility
This package is to be used in combination with Style Dictionary.
There are some caveats however, with regards to which versions of Style Dictionary are compatible with which versions of this package:
Style Dictionary | sd-transforms |
---|
3.0.0 - 4.0.0-prerelease.1 | <= 0.12.2 |
4.0.0-prerelease.2 - 4.0.0-prerelease.18 | 0.13.0 - 0.14.4 |
4.0.0-prerelease.18 - 4.0.0-prerelease.26 | 0.13.0 - 0.15.2 |
>= 4.0.0-prerelease.27 | >= 0.16.0 |
>= 4.0.0 | >= 1.0.0 |
Now that Style Dictionary v4 is released, and sd-transforms
v1 is released and out of alpha state,both APIs are stable and the recommendation is to use these.
Usage
[!NOTE]
This library is only available in ESM
import { register } from '@tokens-studio/sd-transforms';
import StyleDictionary from 'style-dictionary';
register(StyleDictionary);
const sd = new StyleDictionary({
source: ['tokens/**/*.json'],
preprocessors: ['tokens-studio'],
platforms: {
css: {
transformGroup: 'tokens-studio',
transforms: ['name/kebab'],
buildPath: 'build/css/',
files: [
{
destination: 'variables.css',
format: 'css/variables',
},
],
},
},
});
await sd.cleanAllPlatforms();
await sd.buildAllPlatforms();
To run it use the following command
node build-output.js
Using the preprocessor
You must add the 'tokens-studio'
preprocessor explicitly in the configuration:
{
"source": ["tokens/**/*.json"],
"preprocessors": ["tokens-studio"],
"platforms": {}
}
This allows fontStyles
to be extracted when they are embedded in fontWeights
, aligns Tokens Studio token types with DTCG token types, and allows excluding parent keys for single-file Tokens Studio exports.
Using "Expand"
Expand used to be an sd-transforms exclusive feature but has moved to Style Dictionary itself under a slightly different API.
This made sense due to object-value tokens being part of the DTCG spec and no longer a Tokens Studio specific feature.
When using the expand feature of Style Dictionary to expand object-value (composite) tokens,
you should pass our additional expandTypesMap
for Tokens Studio tokens, because these are slightly different from the DTCG tokens:
- shadow tokens are called
boxShadow
and their offsetX
and offsetY
props are called x
and y
respectively. - typography tokens have some additional properties in Tokens Studio:
paragraphSpacing
-> dimensionparagraphIndent
-> dimensiontextDecoration
-> othertextCase
-> other
Due to the Style Dictionary object-value tokens expansion happening before custom preprocessors such as the sd-transforms preprocessor,
which aligns Tokens Studio token types with DTCG token types, this has to be configured like so:
import StyleDictionary from 'style-dictionary';
import { expandTypesMap } from '@tokens-studio/sd-transforms';
const sd = new StyleDictionary({
source: ['tokens/**/*.json'],
preprocessors: ['tokens-studio'],
expand: {
typesMap: expandTypesMap,
},
platforms: {},
});
Using the transforms
{
"source": ["tokens/**/*.json"],
"preprocessors": ["tokens-studio"],
"platforms": {
"css": {
"transformGroup": "tokens-studio",
"transforms": ["name/kebab"],
"buildPath": "build/css/",
"files": [
{
"destination": "variables.css",
"format": "css/variables"
}
]
},
"scss": {
"transforms": ["ts/size/px", "ts/opacity", "name/kebab"],
"buildPath": "build/scss/",
"files": [
{
"destination": "variables.scss",
"format": "scss/variables"
}
]
}
}
}
More fine-grained control is possible, every transformation is available as a raw JavaScript function
for you to create your own Style-Dictionary transform out of.
import { transformDimension } from '@tokens-studio/sd-transforms';
import StyleDictionary from 'style-dictionary';
StyleDictionary.registerTransform({
name: 'my/size/px',
type: 'value',
transitive: true,
filter: token => ['fontSizes', 'dimension', 'borderRadius', 'spacing'].includes(token.type),
transform: token => transformDimension(token.value),
});
Custom Transform Group
[!NOTE]
From Style-Dictionary 4.0.0-prerelease.18
, transformGroup
and transforms
can now be combined in a platform inside your config.
You can create a custom transformGroup
that includes the individual transforms from this package.
If you wish to use the transformGroup
, but adjust or remove a few transforms, your best option is to create a custom transform group:
import { getTransforms } from '@tokens-studio/sd-transforms';
import StyleDictionary from 'style-dictionary';
StyleDictionary.registerTransformGroup({
name: 'custom/tokens-studio',
transforms: [...getTransforms({ platform: 'css' }), 'name/constant'].filter(
transform => transform !== 'ts/size/px',
),
});
Note that you can also manually grab some of the SD built-in transforms by using StyleDictionary.hooks.transformGroups
or StyleDictionary.hooks.transforms
Options
You can pass options to the register
function.
register(StyleDictionary, {
excludeParentKeys: true,
platform: 'css',
name: 'tokens-studio',
'ts/color/modifiers': {
format: 'hex',
},
});
Options:
name | type | required | default | description |
---|
excludeParentKeys | boolean | ❌ | false | Whether or not to exclude parent keys from your token files |
platform | 'css'|'compose' | ❌ | css | Which platform to use the transforms for. |
name | string | ❌ | tokens-studio | Under which name to register the transformGroup |
withSDBuiltins | boolean | ❌ | true | Whether to append the Style Dictionary built-in transformGroup transforms for the configured platform into the tokens-studio transformGroup. |
alwaysAddFontStyle | boolean | ❌ | false | Whether or not to always add a 'normal' fontStyle property to typography tokens which do not have explicit fontStyle |
['ts/color/modifiers'] | ColorModifierOptions | ❌ | See props below | Color modifier options |
['ts/color/modifiers'].format | ColorModifierFormat | ❌ | undefined | Color modifier output format override ('hex' | 'hsl' | 'lch' | 'p3' | 'srgb'), uses local format or modifier space as default |
[!NOTE]
You can also import and use the parseTokens
function to run the parsing steps on your tokens object manually.
Handy if you have your own preprocessors set up (e.g. for JS files), and you want the preprocessor-based features like composites-expansion to work there too.
Theming
Themes: complete example
You might be using Themes in the PRO version of Tokens Studio.
Here's a full example of how you can use this in conjunction with Style Dictionary and sd-transforms:
Run this script:
import { register } from '@tokens-studio/sd-transforms';
import StyleDictionary from 'style-dictionary';
import { promises } from 'fs';
register(StyleDictionary, {
});
async function run() {
const $themes = JSON.parse(await promises.readFile('$themes.json', 'utf-8'));
const configs = $themes.map(theme => ({
source: Object.entries(theme.selectedTokenSets)
.filter(([, val]) => val !== 'disabled')
.map(([tokenset]) => `${tokenset}.json`),
preprocessors: ['tokens-studio'],
platforms: {
css: {
transformGroup: 'tokens-studio',
transforms: ['name/kebab'],
files: [
{
destination: `vars-${theme.name}.css`,
format: 'css/variables',
},
],
},
},
}));
async function cleanAndBuild(cfg) {
const sd = new StyleDictionary(cfg);
await sd.cleanAllPlatforms();
await sd.buildAllPlatforms();
}
await Promise.all(configs.map(cleanAndBuild));
}
run();
Multi-dimensional Theming
If you're using Tokens Studio multi-dimensional theming, you'll have to run some logic to create permutations of those multiple dimensions of themes.
We export a function called permutateThemes
that allows passing the data from your $themes.json
, and will give back an object with all the different permutations.
For example, consider the following multi-dimensional theme hierarchy (Group > Theme > TokenSet):
mode
|-- light
| `-- core, light, theme
`-- dark
`-- core, dark, theme
brand
|-- casual
| `-- core, casual
`-- business
`-- core, business
Here we have two groups:
mode
: has two themes light
& dark
brand
: has two themes casual
& business
Running permutateThemes
on these themes will generate 4 theme combinations:
light_casual
dark_casual
light_business
dark_business
See details below:
import { permutateThemes } from '@tokens-studio/sd-transforms';
import fs from 'fs';
permutateThemes(JSON.parse(fs.readFileSync('$themes.json', 'utf-8')), { separator: '_' });
Note that it is a best practice to generate standalone output files for each theme combination. In the example above, we should generate 4 standalone CSS file light_casual.css
, dark_casual.css
, light_business.css
and dark_business.css
. We can then switch between them to change themes. Avoid generating all this output in a single file and trying to select different sections of the file. This will increase the file size as the number of theme combinations grows resulting in increased load times.
Full example with multi-dimensional themes:
import { register, permutateThemes } from '@tokens-studio/sd-transforms';
import StyleDictionary from 'style-dictionary';
import { promises } from 'fs';
register(StyleDictionary, {
});
async function run() {
const $themes = JSON.parse(await promises.readFile('$themes.json', 'utf-8'));
const themes = permutateThemes($themes, { separator: '_' });
const configs = Object.entries(themes).map(([name, tokensets]) => ({
source: tokensets.map(tokenset => `${tokenset}.json`),
preprocessors: ['tokens-studio'],
platforms: {
css: {
transformGroup: 'tokens-studio',
transforms: ['name/kebab'],
files: [
{
destination: `vars-${name}.css`,
format: 'css/variables',
},
],
},
},
}));
async function cleanAndBuild(cfg) {
const sd = new StyleDictionary(cfg);
await sd.cleanAllPlatforms();
await sd.buildAllPlatforms();
}
await Promise.all(configs.map(cleanAndBuild));
}
run();
You can find a variation of this example here. It outputs a CSS file for every theme combination for every component, e.g. button-business-blue.css
, date-picker-business-blue.css
and so on. This caters to use cases where component-level tokens as required, e.g. when implementing Web Components.
Transforms
This transform maps token descriptions into comments.
Also converts carriage return \r
into \n
and \r\n
into just \n
.
matches: All tokens that have a description property.
before
{
"token": {
...
"description": "Some description about the token",
}
}
after
{
"token": {
...
"description": "Some description about the token",
"comment": "Some description about the token",
}
}
ts/resolveMath
This transform checks and evaluates math expressions
matches: All tokens that have string values.
before
{
"token-one": {
...
"value": "4*1.5px 4*1.5px 4*1.5px"
},
"token-two": {
...
"value": "4 * 7"
}
}
after
{
"token-one": {
...
"value": "6px 6px 6px"
},
"token-two": {
...
"value": "28"
}
}
ts/size/px
This transform adds px
as a unit when dimension-like tokens do not have a unit.
matches: token.type
is one of ['sizing', 'spacing', 'borderRadius', 'borderWidth', 'fontSizes', 'dimension']
before
{
"token": {
"type": "dimension",
"value": 4
}
}
after
{
"token": {
"type": "dimension",
"value": "4px"
}
}
ts/opacity
This transforms opacity token values declared with %
into a number between 0
and 1
.
matches: token.type
is 'opacity'
before
{
"token": {
"type": "opacity",
"value": "50%"
}
}
after
{
"token": {
"type": "opacity",
"value": 0.5
}
}
ts/size/lineheight
This transforms line-height token values declared with %
into a unitless value.
matches: token.type
is 'lineHeights'
before
{
"token": {
"type": "lineHeights",
"value": "50%"
}
}
after
{
"token": {
"type": "lineHeights",
"value": 0.5
}
}
ts/typography/fontWeight
This transforms fontweight from keynames to fontweight numbers.
matches: token.type
is 'fontWeights'
before
{
"token-one": {
"type": "fontWeights",
"value": "Bold"
},
"token-two": {
"type": "fontWeights",
"value": "Light"
}
}
after
{
"token-one": {
"type": "fontWeights",
"value": "700"
},
"token-two": {
"type": "fontWeights",
"value": "300"
}
}
ts/color/modifiers
This transforms color modifiers from Tokens Studio to color values.
matches: token.type
is 'color'
and has token.$extensions['studio.tokens'].modify
before
{
"token-one": {
"value": "#C14242",
"type": "color",
"$extensions": {
"studio.tokens": {
"modify": {
"type": "lighten",
"value": "0.2",
"space": "srgb"
}
}
}
},
"token-two": {
"value": "#C14242",
"type": "color",
"$extensions": {
"studio.tokens": {
"modify": {
"type": "darken",
"value": "0.2",
"space": "hsl"
}
}
}
}
}
after
{
"token-one": {
"value": "rgb(80.5% 40.7% 40.7%)",
"type": "color"
},
"token-two": {
"value": "hsl(0 50.6% 40.6%)",
"type": "color"
}
}
ts/size/css/letterspacing
This transforms letter-spacing token values declared with %
to a value with em
.
matches: token.type
is 'letterSpacing'
before
{
"token": {
"type": "letterSpacing",
"value": "50%"
}
}
after
{
"token": {
"type": "letterSpacing",
"value": "0.5em"
}
}
ts/color/css/hexrgba
This transforms color token values with Figma's "hex code RGBA" into actual rgba()
format
matches: token.type
is 'color'
before
{
"token": {
"type": "color",
"value": "rgba(#ABC123, 0.5)"
}
}
after
{
"token": {
"type": "color",
"value": "rgba(171, 193, 35, 0.5)"
}
}
ts/shadow/innerShadow
This transforms shadow tokens to ensure that the type
property gets converted from innerShadow
to inset
(CSS compatible).
matches: token.type
is 'shadow'
before
{
"token": {
"type": "color",
"value": {
"offsetX": "0",
"offsetY": "4px",
"blur": "10px",
"color": "#000",
"type": "innerShadow"
}
}
}
after
{
"token": {
"type": "color",
"value": {
"offsetX": "0",
"offsetY": "4px",
"blur": "10px",
"color": "#000",
"type": "inset"
}
}
}
Not sure how to fix your issue?
Create a reproduction by:-
- Open the configurator tool link
- Upload your tokens and add your style dictionary config and transforms
- Copy the URL as it will include your settings
- Join our Slack link
- Open style-dictionary-configurator channel
- Create a thread about your issue and paste your reproduction link inside it