piskel/js/utils/Serializer.js

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(function () {
var ns = $.namespace('pskl.utils');
var layersToLoad = 0;
ns.Serializer = {
serializePiskel : function (piskel) {
var serializedLayers = piskel.getLayers().map(function (l) {
return pskl.utils.Serializer.serializeLayer(l);
});
return JSON.stringify({
modelVersion : Constants.MODEL_VERSION,
piskel : {
height : piskel.getHeight(),
width : piskel.getWidth(),
layers : serializedLayers
}
});
},
serializeLayer : function (layer) {
var frames = layer.getFrames();
var renderer = new pskl.rendering.FramesheetRenderer(frames);
var base64PNG = renderer.renderAsCanvas().toDataURL();
return JSON.stringify({
name : layer.getName(),
base64PNG : base64PNG,
frameCount : frames.length
});
},
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deserializeLayer : function (layerString) {
var layerData = JSON.parse(layerString);
var layer = new pskl.model.Layer(layerData.name);
// TODO : nasty trick to keep the whole loading process lazily synchronous
// 1 - adding a fake frame so that the rendering can start
layer.addFrame(new pskl.model.Frame(32,32));
// 2 - create an image to load the base64PNG representing the layer
var base64PNG = layerData.base64PNG;
var image = new Image();
// 3 - attach the onload callback that will be triggered asynchronously
image.onload = function () {
// 6 - remove the fake frame
layer.removeFrameAt(0);
// 7 - extract the frames from the loaded image
var frames = pskl.utils.LayerUtils.createFromImage(image, layerData.frameCount);
// 8 - add each image to the layer
frames.forEach(function (frame) {
layer.addFrame(pskl.model.Frame.fromPixelGrid(frame));
});
};
// 4 - set the source of the image
image.src = base64PNG;
// 5 - return a pointer to the new layer instance, which at this point contains a fake frame
return layer;
},
backwardDeserializer_v1 : function (data) {
var piskelData = data.piskel;
var piskel = new pskl.model.Piskel(piskelData.width, piskelData.height);
piskelData.layers.forEach(function (serializedLayer) {
var layer = pskl.utils.Serializer.deserializeLayer_v1(serializedLayer);
piskel.addLayer(layer);
});
return piskel;
},
deserializeLayer_v1 : function (layerString) {
var layerData = JSON.parse(layerString);
var layer = new pskl.model.Layer(layerData.name);
layerData.frames.forEach(function (serializedFrame) {
var frame = pskl.utils.Serializer.deserializeFrame_v1(serializedFrame);
layer.addFrame(frame);
});
return layer;
},
deserializeFrame_v1 : function (frameString) {
var framePixelGrid = JSON.parse(frameString);
return pskl.model.Frame.fromPixelGrid(framePixelGrid);
},
/**
* Deserialize old piskel framesheets. Initially piskels were stored as arrays of frames : "[[pixelGrid],[pixelGrid],[pixelGrid]]".
*/
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backwardDeserializer_ : function (frames) {
var layer = new pskl.model.Layer('Layer 1');
frames.forEach(function (frame) {
layer.addFrame(pskl.model.Frame.fromPixelGrid(frame));
});
var width = layer.getFrameAt(0).getWidth(), height = layer.getFrameAt(0).getHeight();
var piskel = new pskl.model.Piskel(width, height);
piskel.addLayer(layer);
return piskel;
}
};
})();