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@tokens-studio/sd-transforms
Advanced tools
Custom transforms for Style-Dictionary, to work with Design Tokens that are exported from Tokens Studio
Note: this README contains examples that assume latest version of this package & v4 style-dictionary latest prerelease.
This package contains custom transforms for Style-Dictionary, to work with Design Tokens that are exported from Tokens Studio:
Generic:
ts/descriptionToComment
ts/resolveMath
px
as a unit when missing (transitive) -> ts/size/px
%
to number between 0
and 1
-> ts/opacity
%
to unitless (150% -> 1.5) -> ts/size/lineheight
ts/typography/fontWeight
ts/color/modifiers
CSS:
%
to em
-> ts/size/css/letterspacing
rgba()
format -> ts/color/css/hexrgba
ts/shadow/innerShadow
Android:
ts/typography/compose/shorthand
Registers the generic and CSS transforms as a transform group called tokens-studio
.
With NPM:
npm install @tokens-studio/sd-transforms
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.
[!NOTE] This library is only available in ESM
import { register } from '@tokens-studio/sd-transforms';
import StyleDictionary from 'style-dictionary';
// will register them on StyleDictionary object
// that is installed as a dependency of this package.
register(StyleDictionary);
const sd = new StyleDictionary({
// make sure to have source match your token files!
// be careful about accidentally matching your package.json or similar files that are not tokens
source: ['tokens/**/*.json'],
preprocessors: ['tokens-studio'], // <-- since 0.16.0 this must be explicit
platforms: {
css: {
transformGroup: 'tokens-studio', // <-- apply the tokens-studio transformGroup to apply all transforms
transforms: ['name/kebab'], // <-- add a token name transform for generating token names, default is camel
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
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.
[!TIP] The align types part of the preprocessor aligns Tokens Studio token types to DTCG token types. The original Tokens Studio type in this scenario will be stored at
$extensions['studio.tokens'].originalType
if this happens. This allows you to use the original type e.g. for token filtering/matching for your custom transforms.
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:
boxShadow
and their offsetX
and offsetY
props are called x
and y
respectively.paragraphSpacing
-> dimensionparagraphIndent
-> dimensiontextDecoration
-> othertextCase
-> otherDue 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: {},
});
{
"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),
});
[!NOTE] From Style-Dictionary
4.0.0-prerelease.18
,transformGroup
andtransforms
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';
// Register custom tokens-studio transform group
// without 'px' being added to numbers without a unit
// and also adding 'name/constant' for the token names
StyleDictionary.registerTransformGroup({
name: 'custom/tokens-studio',
// default value for platform is css, specifies which Tokens Studio transforms for which platform to grab
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
orStyleDictionary.hooks.transforms
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.
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, {
/* options here if needed */
});
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'], // <-- since 0.16.0 this must be explicit
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(); // optionally, cleanup files first..
await sd.buildAllPlatforms();
}
await Promise.all(configs.map(cleanAndBuild));
}
run();
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 $themes.json
, and will give back an object with all the different permutations.
For example, consider the following multi-dimensional theme hierarchy (Group > Theme > TokenSet):
mode
|-- light
| `-- core, light, theme
`-- dark
`-- core, dark, theme
brand
|-- casual
| `-- core, casual
`-- business
`-- core, business
Here we have two groups:
mode
: has two themes light
& dark
brand
: has two themes casual
& business
Running permutateThemes
on these themes will generate 4 theme combinations:
light_casual
dark_casual
light_business
dark_business
See details below:
import { permutateThemes } from '@tokens-studio/sd-transforms';
import fs from 'fs';
/**
* Input:
* [
* {
* name: 'light'
* group: 'mode',
* selectedTokensets: {
* 'core': 'source',
* 'light': 'enabled',
* 'theme': 'enabled'
* }
* },
* {
* name: 'dark'
* group: 'mode',
* selectedTokensets: {
* 'core': 'source',
* 'dark': 'enabled',
* 'theme': 'enabled'
* }
* },
* {
* name: 'casual'
* group: 'brand',
* selectedTokensets: {
* 'core': 'source',
* 'casual': 'enabled'
* }
* },
* {
* name: 'business'
* group: 'brand',
* selectedTokensets: {
* 'core': 'source',
* 'business': 'enabled'
* }
* }
* ]
*
* Output:
* {
* light_casual: ['core', 'light', 'theme', 'casual'],
* dark_casual: ['core', 'dark', 'theme', 'casual'],
* light_business: ['core', 'light', 'theme', 'business'],
* dark_business: ['core', 'dark', 'theme', 'business'],
* }
*/
permutateThemes(JSON.parse(fs.readFileSync('$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, {
/* options here if needed */
});
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'], // <-- since 0.16.0 this must be explicit
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(); // optionally, cleanup files first..
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.
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.
{
"token": {
...
"description": "Some description about the token",
}
}
{
"token": {
...
"description": "Some description about the token",
"comment": "Some description about the token",
}
}
This transform checks and evaluates math expressions
matches: All tokens that have string values.
You can adjust to how many decimals the result should be rounded using PlatformConfig.mathFractionDigits
:
{
"source": ["tokens.json"],
"platforms": {
"css": {
"mathFractionDigits": 3,
"transformGroup": "tokens-studio",
"files": [
{
"format": "css/variables",
"destination": "output.css"
}
]
}
}
}
{
"token-one": {
...
"value": "4*1.5px 4*1.5px 4*1.5px"
},
"token-two": {
...
"value": "4 * 7"
}
}
{
"token-one": {
...
"value": "6px 6px 6px"
},
"token-two": {
...
"value": "28"
}
}
This transform adds px
as a unit when dimension-like tokens do not have a unit.
matches: token.type
is one of ['fontSize', 'dimension', 'border', 'typography', 'shadow']
{
"token": {
"type": "dimension",
"value": 4
}
}
{
"token": {
"type": "dimension",
"value": "4px"
}
}
This transforms opacity token values declared with %
into a number between 0
and 1
.
matches: token.type
is 'opacity'
{
"token": {
"type": "opacity",
"value": "50%"
}
}
{
"token": {
"type": "opacity",
"value": 0.5
}
}
This transforms line-height token values declared with %
into a unitless value.
matches: token.type
is 'lineHeight'
or token.type
is 'typography'
{
"token": {
"type": "lineHeights",
"value": "50%"
}
}
{
"token": {
"type": "lineHeights",
"value": 0.5
}
}
This transforms fontweight from keynames to fontweight numbers.
matches: token.type
is 'fontWeight'
or token.type
is 'typography'
{
"token-one": {
"type": "fontWeights",
"value": "Bold"
},
"token-two": {
"type": "fontWeights",
"value": "Light"
}
}
{
"token-one": {
"type": "fontWeights",
"value": "700"
},
"token-two": {
"type": "fontWeights",
"value": "300"
}
}
This transforms color modifiers from Tokens Studio to color values.
matches: token.type
is 'color'
and has token.$extensions['studio.tokens'].modify
{
"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"
}
}
}
}
}
{
"token-one": {
"value": "rgb(80.5% 40.7% 40.7%)",
"type": "color"
},
"token-two": {
"value": "hsl(0 50.6% 40.6%)",
"type": "color"
}
}
This transforms letter-spacing token values declared with %
to a value with em
.
matches: token.$extensions['studio.tokens'].originalType
is 'letterSpacing'
or token.type
is 'typography'
{
"token": {
"type": "letterSpacing",
"value": "50%"
}
}
{
"token": {
"type": "letterSpacing",
"value": "0.5em"
}
}
This transforms color token values with Figma's "hex code RGBA" into actual rgba()
format
matches: token.type
is 'color'
{
"token": {
"type": "color",
"value": "rgba(#ABC123, 0.5)"
}
}
{
"token": {
"type": "color",
"value": "rgba(171, 193, 35, 0.5)"
}
}
This transforms shadow tokens to ensure that the type
property gets converted from innerShadow
to inset
(CSS compatible).
matches: token.type
is 'shadow'
{
"token": {
"type": "color",
"value": {
"offsetX": "0",
"offsetY": "4px",
"blur": "10px",
"color": "#000",
"type": "innerShadow"
}
}
}
{
"token": {
"type": "color",
"value": {
"offsetX": "0",
"offsetY": "4px",
"blur": "10px",
"color": "#000",
"type": "inset"
}
}
}
1.2.9
ts/size/px
transform to handle multi-value token values such as 'button.padding': { value: '4 8' }
.FAQs
Custom transforms for Style-Dictionary, to work with Design Tokens that are exported from Tokens Studio
The npm package @tokens-studio/sd-transforms receives a total of 16,905 weekly downloads. As such, @tokens-studio/sd-transforms popularity was classified as popular.
We found that @tokens-studio/sd-transforms demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
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