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Convert Figma nodes with image fills into Penpot images by exporting the node to png

Signed-off-by: Ryan Breen <rbreen@zmags.com>
This commit is contained in:
Ryan Breen 2022-12-29 14:05:42 -05:00
parent 30b1f3d5b1
commit cac49c2e9e
3 changed files with 82 additions and 31 deletions

View file

@ -30,6 +30,7 @@
"@types/react-dom": "^17.0.9",
"crypto": "^1.0.1",
"crypto-browserify": "^3.12.0",
"pngjs": "^6.0.0",
"react": "^17.0.2",
"react-dev-utils": "^11.0.4",
"react-dom": "^17.0.2",

View file

@ -53,18 +53,20 @@ function traverse(node): NodeData {
}
if (node.fills && Array.isArray(node.fills)){
for (const paint of node.fills) {
if (paint.type === 'IMAGE') {
// Get the (encoded) bytes for this image.
const image = figma.getImageByHash(paint.imageHash);
image.getBytesAsync().then((value) => {
const b64 = figma.base64Encode(value);
figma.ui.postMessage({type: "IMAGE", data: {
imageHash: paint.imageHash,
value: "data:" + detectMimeType(b64) + ";base64," + b64
}});
});
}
// Find any fill of type image
const imageFill = node.fills.find(fill => fill.type === "IMAGE");
if (imageFill) {
// An "image" in Figma is a shape with one or more image fills, potentially blended with other fill
// types. Given the complexity of mirroring this exactly in Penpot, which treats images as first-class
// objects, we're going to simplify this by exporting this shape as a PNG image.
node.exportAsync({format: "PNG"}).then((value) => {
const b64 = figma.base64Encode(value);
figma.ui.postMessage({type: "IMAGE", data: {
id: node.id,
value: "data:" + detectMimeType(b64) + ";base64," + b64
}});
});
}
}

View file

@ -12,12 +12,18 @@ declare function require(path: string): any;
type PenpotExporterProps = {
}
type FigmaImageData = {
value: string,
width: number,
height: number
}
type PenpotExporterState = {
isDebug: boolean,
penpotFileData: string
figmaFileData: string
figmaRootNode: NodeData
images: { [id: string] : string; };
images: { [id: string] : FigmaImageData; };
}
export default class PenpotExporter extends React.Component<PenpotExporterProps, PenpotExporterState> {
@ -77,6 +83,7 @@ export default class PenpotExporter extends React.Component<PenpotExporterProps,
}
translateFill(fill, width, height){
if (fill.type === "SOLID"){
return this.translateSolidFill(fill);
} else if (fill.type === "GRADIENT_LINEAR"){
@ -211,17 +218,51 @@ export default class PenpotExporter extends React.Component<PenpotExporterProps,
}
createPenpotImage(file, node, baseX, baseY, image){
file.createImage({ name: node.name, x: node.x + baseX, y: node.y + baseY, width: node.width, height: node.height,
file.createImage({ name: node.name, x: node.x + baseX, y: node.y + baseY, width: image.width, height: image.height,
metadata: {
width: node.width,
height: node.height
width: image.width,
height: image.height
},
dataUri: image
dataUri: image.value
});
}
calculateAdjustment(node){
// For each child, check whether the X or Y position is less than 0 and less than the
// current adjustment.
let adjustedX = 0;
let adjustedY = 0;
for (var child of node.children){
if (child.x < adjustedX){
adjustedX = child.x;
}
if (child.y < adjustedY){
adjustedY = child.y;
}
}
return [adjustedX, adjustedY];
}
createPenpotItem(file, node, baseX, baseY){
if (node.type == "PAGE"){
// We special-case images because an image in figma is a shape with one or many
// image fills. Given that handling images in Penpot is a bit different, we
// rasterize a figma shape with any image fills to a PNG and then add it as a single
// Penpot image. Implication is that any node that has an image fill will only be
// treated as an image, so we skip node type checks.
const hasImageFill = node.fills?.some(fill => fill.type === "IMAGE");
if (hasImageFill){
// If the nested frames extended the bounds of the rasterized image, we need to
// account for this both in position on the canvas and the calculated width and
// height of the image.
const [adjustedX, adjustedY] = this.calculateAdjustment(node);
const width = node.width + Math.abs(adjustedX);
const height = node.height + Math.abs(adjustedY);
this.createPenpotImage(file, node, baseX + adjustedX, baseY + adjustedY, this.state.images[node.id]);
}
else if (node.type == "PAGE"){
this.createPenpotPage(file, node);
}
else if (node.type == "FRAME"){
@ -231,13 +272,7 @@ export default class PenpotExporter extends React.Component<PenpotExporterProps,
this.createPenpotGroup(file, node,baseX, baseY);
}
else if (node.type == "RECTANGLE"){
// Find a fill of type IMAGE (note, a Figma node can have only one IMAGE fill)
const imageFill = node.fills.find((fill) => fill.type === "IMAGE");
if (imageFill){
this.createPenpotImage(file, node, baseX, baseY, this.state.images[imageFill.imageHash]);
} else {
this.createPenpotRectangle(file, node, baseX, baseY);
}
this.createPenpotRectangle(file, node, baseX, baseY);
}
else if (node.type == "ELLIPSE"){
this.createPenpotCircle(file, node, baseX, baseY);
@ -274,13 +309,26 @@ export default class PenpotExporter extends React.Component<PenpotExporterProps,
figmaRootNode: event.data.pluginMessage.data}));
}
else if (event.data.pluginMessage.type == "IMAGE") {
const data = event.data.pluginMessage.data;
this.setState(state =>
{
state.images[data.imageHash] = data.value;
return state;
}
) ;
const image = document.createElement('img');
const thisObj = this;
image.addEventListener('load', function() {
// Get byte array from response
thisObj.setState(state =>
{
state.images[data.id] = {
value: data.value,
width: image.naturalWidth,
height: image.naturalHeight
};
return state;
}
);
});
image.src = data.value;
}
}