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denoland-deno/ext/canvas/01_image.js
Leo Kettmeir 1007358768
refactor: move ImageData to web extension (#22295)
Signed-off-by: Leo Kettmeir <crowlkats@toaxl.com>
2024-02-07 01:11:15 +01:00

352 lines
8.7 KiB
JavaScript

// Copyright 2018-2024 the Deno authors. All rights reserved. MIT license.
import { internals, primordials } from "ext:core/mod.js";
import { op_image_decode_png, op_image_process } from "ext:core/ops";
import * as webidl from "ext:deno_webidl/00_webidl.js";
import { DOMException } from "ext:deno_web/01_dom_exception.js";
import { createFilteredInspectProxy } from "ext:deno_console/01_console.js";
import { BlobPrototype } from "ext:deno_web/09_file.js";
import { sniffImage } from "ext:deno_web/01_mimesniff.js";
const {
ObjectPrototypeIsPrototypeOf,
Symbol,
SymbolFor,
TypeError,
TypedArrayPrototypeGetBuffer,
Uint8Array,
MathCeil,
PromiseResolve,
PromiseReject,
RangeError,
} = primordials;
import {
_data,
_height,
_width,
ImageDataPrototype,
} from "ext:deno_web/16_image_data.js";
webidl.converters["ImageOrientation"] = webidl.createEnumConverter(
"ImageOrientation",
[
"from-image",
"flipY",
],
);
webidl.converters["PremultiplyAlpha"] = webidl.createEnumConverter(
"PremultiplyAlpha",
[
"none",
"premultiply",
"default",
],
);
webidl.converters["ColorSpaceConversion"] = webidl.createEnumConverter(
"ColorSpaceConversion",
[
"none",
"default",
],
);
webidl.converters["ResizeQuality"] = webidl.createEnumConverter(
"ResizeQuality",
[
"pixelated",
"low",
"medium",
"high",
],
);
webidl.converters["ImageBitmapOptions"] = webidl.createDictionaryConverter(
"ImageBitmapOptions",
[
{
key: "imageOrientation",
converter: webidl.converters["ImageOrientation"],
defaultValue: "from-image",
},
{
key: "premultiplyAlpha",
converter: webidl.converters["PremultiplyAlpha"],
defaultValue: "default",
},
{
key: "colorSpaceConversion",
converter: webidl.converters["ColorSpaceConversion"],
defaultValue: "default",
},
{
key: "resizeWidth",
converter: (v, prefix, context, opts) =>
webidl.converters["unsigned long"](v, prefix, context, {
...opts,
enforceRange: true,
}),
},
{
key: "resizeHeight",
converter: (v, prefix, context, opts) =>
webidl.converters["unsigned long"](v, prefix, context, {
...opts,
enforceRange: true,
}),
},
{
key: "resizeQuality",
converter: webidl.converters["ResizeQuality"],
defaultValue: "low",
},
],
);
const _bitmapData = Symbol("[[bitmapData]]");
const _detached = Symbol("[[detached]]");
class ImageBitmap {
[_width];
[_height];
[_bitmapData];
[_detached];
constructor() {
webidl.illegalConstructor();
}
get width() {
webidl.assertBranded(this, ImageBitmapPrototype);
if (this[_detached]) {
return 0;
}
return this[_width];
}
get height() {
webidl.assertBranded(this, ImageBitmapPrototype);
if (this[_detached]) {
return 0;
}
return this[_height];
}
close() {
webidl.assertBranded(this, ImageBitmapPrototype);
this[_detached] = true;
this[_bitmapData] = null;
}
[SymbolFor("Deno.privateCustomInspect")](inspect, inspectOptions) {
return inspect(
createFilteredInspectProxy({
object: this,
evaluate: ObjectPrototypeIsPrototypeOf(ImageBitmapPrototype, this),
keys: [
"width",
"height",
],
}),
inspectOptions,
);
}
}
const ImageBitmapPrototype = ImageBitmap.prototype;
function createImageBitmap(
image,
sxOrOptions = undefined,
sy = undefined,
sw = undefined,
sh = undefined,
options = undefined,
) {
const prefix = "Failed to call 'createImageBitmap'";
// Overload: createImageBitmap(image [, options ])
if (arguments.length < 3) {
options = webidl.converters["ImageBitmapOptions"](
sxOrOptions,
prefix,
"Argument 2",
);
} else {
// Overload: createImageBitmap(image, sx, sy, sw, sh [, options ])
sxOrOptions = webidl.converters["long"](sxOrOptions, prefix, "Argument 2");
sy = webidl.converters["long"](sy, prefix, "Argument 3");
sw = webidl.converters["long"](sw, prefix, "Argument 4");
sh = webidl.converters["long"](sh, prefix, "Argument 5");
options = webidl.converters["ImageBitmapOptions"](
options,
prefix,
"Argument 6",
);
if (sw === 0) {
return PromiseReject(new RangeError("sw has to be greater than 0"));
}
if (sh === 0) {
return PromiseReject(new RangeError("sh has to be greater than 0"));
}
}
if (options.resizeWidth === 0) {
return PromiseReject(
new DOMException(
"options.resizeWidth has to be greater than 0",
"InvalidStateError",
),
);
}
if (options.resizeHeight === 0) {
return PromiseReject(
new DOMException(
"options.resizeWidth has to be greater than 0",
"InvalidStateError",
),
);
}
const imageBitmap = webidl.createBranded(ImageBitmap);
if (ObjectPrototypeIsPrototypeOf(ImageDataPrototype, image)) {
const processedImage = processImage(
image[_data],
image[_width],
image[_height],
sxOrOptions,
sy,
sw,
sh,
options,
);
imageBitmap[_bitmapData] = processedImage.data;
imageBitmap[_width] = processedImage.outputWidth;
imageBitmap[_height] = processedImage.outputHeight;
return PromiseResolve(imageBitmap);
}
if (ObjectPrototypeIsPrototypeOf(BlobPrototype, image)) {
return (async () => {
const data = await image.arrayBuffer();
const mimetype = sniffImage(image.type);
if (mimetype !== "image/png") {
throw new DOMException(
`Unsupported type '${image.type}'`,
"InvalidStateError",
);
}
const { data: imageData, width, height } = op_image_decode_png(data);
const processedImage = processImage(
imageData,
width,
height,
sxOrOptions,
sy,
sw,
sh,
options,
);
imageBitmap[_bitmapData] = processedImage.data;
imageBitmap[_width] = processedImage.outputWidth;
imageBitmap[_height] = processedImage.outputHeight;
return imageBitmap;
})();
} else {
return PromiseReject(new TypeError("Invalid or unsupported image value"));
}
}
function processImage(input, width, height, sx, sy, sw, sh, options) {
let sourceRectangle;
if (
sx !== undefined && sy !== undefined && sw !== undefined && sh !== undefined
) {
sourceRectangle = [
[sx, sy],
[sx + sw, sy],
[sx + sw, sy + sh],
[sx, sy + sh],
];
} else {
sourceRectangle = [
[0, 0],
[width, 0],
[width, height],
[0, height],
];
}
const widthOfSourceRect = sourceRectangle[1][0] - sourceRectangle[0][0];
const heightOfSourceRect = sourceRectangle[3][1] - sourceRectangle[0][1];
let outputWidth;
if (options.resizeWidth !== undefined) {
outputWidth = options.resizeWidth;
} else if (options.resizeHeight !== undefined) {
outputWidth = MathCeil(
(widthOfSourceRect * options.resizeHeight) / heightOfSourceRect,
);
} else {
outputWidth = widthOfSourceRect;
}
let outputHeight;
if (options.resizeHeight !== undefined) {
outputHeight = options.resizeHeight;
} else if (options.resizeWidth !== undefined) {
outputHeight = MathCeil(
(heightOfSourceRect * options.resizeWidth) / widthOfSourceRect,
);
} else {
outputHeight = heightOfSourceRect;
}
if (options.colorSpaceConversion === "none") {
throw new TypeError("options.colorSpaceConversion 'none' is not supported");
}
/*
* The cropping works differently than the spec specifies:
* The spec states to create an infinite surface and place the top-left corner
* of the image a 0,0 and crop based on sourceRectangle.
*
* We instead create a surface the size of sourceRectangle, and position
* the image at the correct location, which is the inverse of the x & y of
* sourceRectangle's top-left corner.
*/
const data = op_image_process(
new Uint8Array(TypedArrayPrototypeGetBuffer(input)),
{
width,
height,
surfaceWidth: widthOfSourceRect,
surfaceHeight: heightOfSourceRect,
inputX: sourceRectangle[0][0] * -1, // input_x
inputY: sourceRectangle[0][1] * -1, // input_y
outputWidth,
outputHeight,
resizeQuality: options.resizeQuality,
flipY: options.imageOrientation === "flipY",
premultiply: options.premultiplyAlpha === "default"
? null
: (options.premultiplyAlpha === "premultiply"),
},
);
return {
data,
outputWidth,
outputHeight,
};
}
function getBitmapData(imageBitmap) {
return imageBitmap[_bitmapData];
}
internals.getBitmapData = getBitmapData;
export { _bitmapData, _detached, createImageBitmap, ImageBitmap };