start migrating to TS, update eslint config

This commit is contained in:
2024-06-27 21:47:16 +02:00
parent 4dc3bb0b43
commit 18cad78969
10 changed files with 1722 additions and 7490 deletions

View File

@@ -1,3 +1,4 @@
// TODO: Update using this pr https://github.com/lokesh/color-thief/pull/254
const getPixels = require('get-pixels');
const quantize = require('@lokesh.dhakar/quantize');
@@ -27,73 +28,81 @@ function validateOptions(options) {
if (typeof colorCount === 'undefined' || !Number.isInteger(colorCount)) {
colorCount = 10;
} else if (colorCount === 1 ) {
throw new Error('colorCount should be between 2 and 20. To get one color, call getColor() instead of getPalette()');
} else if (colorCount === 1) {
throw new Error(
'colorCount should be between 2 and 20. To get one color, call getColor() instead of getPalette()',
);
} else {
colorCount = Math.max(colorCount, 2);
colorCount = Math.min(colorCount, 20);
}
if (typeof quality === 'undefined' || !Number.isInteger(quality) || quality < 1) {
if (
typeof quality === 'undefined' ||
!Number.isInteger(quality) ||
quality < 1
) {
quality = 10;
}
return {
colorCount,
quality
}
quality,
};
}
function loadImg(img) {
return new Promise((resolve, reject) => {
getPixels(img, function(err, data) {
if(err) {
reject(err)
getPixels(img, function (err, data) {
if (err) {
reject(err);
} else {
resolve(data);
}
})
});
});
}
function getColor(img, quality) {
return new Promise((resolve, reject) => {
getPalette(img, 5, quality)
.then(palette => {
.then((palette) => {
resolve(palette[0]);
})
.catch(err => {
.catch((err) => {
reject(err);
})
});
});
}
function getPalette(img, colorCount = 10, quality = 10) {
const options = validateOptions({
colorCount,
quality
quality,
});
return new Promise((resolve, reject) => {
loadImg(img)
.then(imgData => {
.then((imgData) => {
const pixelCount = imgData.shape[0] * imgData.shape[1];
const pixelArray = createPixelArray(imgData.data, pixelCount, options.quality);
const pixelArray = createPixelArray(
imgData.data,
pixelCount,
options.quality,
);
const cmap = quantize(pixelArray, options.colorCount);
const palette = cmap? cmap.palette() : null;
const palette = cmap ? cmap.palette() : null;
resolve(palette);
})
.catch(err => {
.catch((err) => {
reject(err);
})
});
});
}
module.exports = {
getColor,
getPalette
getPalette,
};

0
src/color-thief-node.ts Normal file
View File

View File

@@ -20,7 +20,6 @@ import core from './core.js';
* @license
*/
/*
CanvasImage Class
Class that wraps the html image element and canvas.
@@ -29,9 +28,9 @@ import core from './core.js';
*/
const CanvasImage = function (image) {
this.canvas = document.createElement('canvas');
this.canvas = document.createElement('canvas');
this.context = this.canvas.getContext('2d');
this.width = this.canvas.width = image.naturalWidth;
this.width = this.canvas.width = image.naturalWidth;
this.height = this.canvas.height = image.naturalHeight;
this.context.drawImage(image, 0, 0, this.width, this.height);
};
@@ -55,13 +54,12 @@ var ColorThief = function () {};
* most dominant color.
*
* */
ColorThief.prototype.getColor = function(sourceImage, quality = 10) {
const palette = this.getPalette(sourceImage, 5, quality);
ColorThief.prototype.getColor = function (sourceImage, quality = 10) {
const palette = this.getPalette(sourceImage, 5, quality);
const dominantColor = palette[0];
return dominantColor;
};
/*
* getPalette(sourceImage[, colorCount, quality])
* returns array[ {r: num, g: num, b: num}, {r: num, g: num, b: num}, ...]
@@ -77,64 +75,67 @@ ColorThief.prototype.getColor = function(sourceImage, quality = 10) {
*
*
*/
ColorThief.prototype.getPalette = function(sourceImage, colorCount, quality) {
ColorThief.prototype.getPalette = function (sourceImage, colorCount, quality) {
const options = core.validateOptions({
colorCount,
quality
quality,
});
// Create custom CanvasImage object
const image = new CanvasImage(sourceImage);
const imageData = image.getImageData();
const image = new CanvasImage(sourceImage);
const imageData = image.getImageData();
const pixelCount = image.width * image.height;
const pixelArray = core.createPixelArray(imageData.data, pixelCount, options.quality);
const pixelArray = core.createPixelArray(
imageData.data,
pixelCount,
options.quality,
);
// Send array to quantize function which clusters values
// using median cut algorithm
const cmap = quantize(pixelArray, options.colorCount);
const palette = cmap? cmap.palette() : null;
const cmap = quantize(pixelArray, options.colorCount);
const palette = cmap ? cmap.palette() : null;
return palette;
};
ColorThief.prototype.getColorFromUrl = function(imageUrl, callback, quality) {
const sourceImage = document.createElement("img");
ColorThief.prototype.getColorFromUrl = function (imageUrl, callback, quality) {
const sourceImage = document.createElement('img');
sourceImage.addEventListener('load' , () => {
sourceImage.addEventListener('load', () => {
const palette = this.getPalette(sourceImage, 5, quality);
const dominantColor = palette[0];
callback(dominantColor, imageUrl);
});
sourceImage.src = imageUrl
sourceImage.src = imageUrl;
};
ColorThief.prototype.getImageData = function(imageUrl, callback) {
ColorThief.prototype.getImageData = function (imageUrl, callback) {
let xhr = new XMLHttpRequest();
xhr.open('GET', imageUrl, true);
xhr.responseType = 'arraybuffer';
xhr.onload = function() {
xhr.onload = function () {
if (this.status == 200) {
let uInt8Array = new Uint8Array(this.response);
i = uInt8Array.length;
let binaryString = new Array(i);
for (let i = 0; i < uInt8Array.length; i++){
for (let i = 0; i < uInt8Array.length; i++) {
binaryString[i] = String.fromCharCode(uInt8Array[i]);
}
let data = binaryString.join('');
let base64 = window.btoa(data);
callback ('data:image/png;base64,' + base64);
callback('data:image/png;base64,' + base64);
}
}
};
xhr.send();
};
ColorThief.prototype.getColorAsync = function(imageUrl, callback, quality) {
ColorThief.prototype.getColorAsync = function (imageUrl, callback, quality) {
const thief = this;
this.getImageData(imageUrl, function(imageData){
const sourceImage = document.createElement("img");
sourceImage.addEventListener('load' , function(){
this.getImageData(imageUrl, function (imageData) {
const sourceImage = document.createElement('img');
sourceImage.addEventListener('load', function () {
const palette = thief.getPalette(sourceImage, 5, quality);
const dominantColor = palette[0];
callback(dominantColor, this);
@@ -143,5 +144,4 @@ ColorThief.prototype.getColorAsync = function(imageUrl, callback, quality) {
});
};
export default ColorThief;

180
src/color-thief.ts Normal file
View File

@@ -0,0 +1,180 @@
import quantize from '../node_modules/@lokesh.dhakar/quantize/dist/index.mjs';
import core from './core.js';
/*
* Color Thief v2.4.0
* by Lokesh Dhakar - http://www.lokeshdhakar.com
*
* Thanks
* ------
* Nick Rabinowitz - For creating quantize.js.
* John Schulz - For clean up and optimization. @JFSIII
* Nathan Spady - For adding drag and drop support to the demo page.
*
* License
* -------
* Copyright Lokesh Dhakar
* Released under the MIT license
* https://raw.githubusercontent.com/lokesh/color-thief/master/LICENSE
*
* @license
*/
/*
CanvasImage Class
Class that wraps the html image element and canvas.
It also simplifies some of the canvas context manipulation
with a set of helper functions.
*/
const CanvasImage = function (image: HTMLImageElement) {
this.canvas = document.createElement('canvas');
this.context = this.canvas.getContext('2d');
this.width = this.canvas.width = image.naturalWidth;
this.height = this.canvas.height = image.naturalHeight;
this.context.drawImage(image, 0, 0, this.width, this.height);
};
CanvasImage.prototype.getImageData = function () {
return this.context.getImageData(0, 0, this.width, this.height);
};
interface ColorThiefResult {
r: number;
g: number;
b: number;
}
class ColorThief {
/**
* Use the median cut algorithm provided by quantize.js to cluster similar
* colors and return the base color from the largest cluster.
* @param {HTMLImageElement} sourceImage:HTMLImageElement
* @param {number} quality Quality is an optional argument. It needs to be an integer. 1 is the highest quality settings.
* 10 is the default. There is a trade-off between quality and speed. The bigger the number, the
* faster a color will be returned but the greater the likelihood that it will not be the visually
* most dominant color.
* @returns {ColorThiefResult} returns {r: num, g: num, b: num}
*/
getColor(
sourceImage: HTMLImageElement,
quality: number = 10,
): ColorThiefResult {
const palette = this.getPalette(sourceImage, 5, quality);
return palette[0];
}
/**
* Use the median cut algorithm provided by quantize.js to cluster similar colors.
* @param {HTMLImageElement} sourceImage The image you want to have processed, as an HTMLImageElement
* @param {number?} colorCount colorCount determines the size of the palette; the number of colors returned. If not set, it
* defaults to 10.
* @param {number?} quality quality is an optional argument. It needs to be an integer. 1 is the highest quality settings.
* 10 is the default. There is a trade-off between quality and speed. The bigger the number, the
* faster the palette generation but the greater the likelihood that colors will be missed.
* @returns {ColorThiefResult[]} returns array[ {r: num, g: num, b: num}, {r: num, g: num, b: num}, ...]
*/
getPalette(
sourceImage: HTMLImageElement,
colorCount?: number,
quality: number = 10,
): ColorThiefResult[] {
const options = core.validateOptions({
colorCount,
quality,
});
// Create custom CanvasImage object
const image = new CanvasImage(sourceImage);
const imageData = image.getImageData();
const pixelCount = image.width * image.height;
const pixelArray = core.createPixelArray(
imageData.data,
pixelCount,
options.quality,
);
// Send array to quantize function which clusters values
// using median cut algorithm
const cmap = quantize(pixelArray, options.colorCount);
const palette = cmap ? cmap.palette() : null;
return palette;
}
/**
* Description
* @param {any} imageUrl
* @param {any} callback
* @param {any} quality
* @returns {any}
*/
getColorFromUrl(imageUrl, callback, quality) {
const sourceImage = document.createElement('img');
sourceImage.addEventListener('load', () => {
const palette = this.getPalette(sourceImage, 5, quality);
const dominantColor = palette[0];
callback(dominantColor, imageUrl);
});
sourceImage.src = imageUrl;
}
/**
* Description
* @param {string} imageUrl
* @param {string} callback
* @returns {void}
*/
getImageData(imageUrl: string, callback) {
let xhr = new XMLHttpRequest();
xhr.open('GET', imageUrl, true);
xhr.responseType = 'arraybuffer';
fetch(imageUrl).then((res) => {
if (res.status === 200) {
res.arrayBuffer().then((response) => {
const uInt8Array = new Uint8Array(response);
let binaryString = new Array(uInt8Array.length);
for (let i = 0; i < uInt8Array.length; i++) {
binaryString[i] = String.fromCharCode(uInt8Array[i]);
}
let data = binaryString.join('');
let base64 = window.btoa(data);
});
}
});
xhr.onload = function () {
if (this.status == 200) {
let uInt8Array = new Uint8Array(this.response);
callback('data:image/png;base64,' + base64);
}
};
xhr.send();
}
/**
* Description
* @param {any} imageUrl
* @param {any} callback
* @param {any} quality
* @returns {any}
*/
getColorAsync = function (imageUrl, callback, quality) {
const thief = this;
this.getImageData(imageUrl, function (imageData) {
const sourceImage = document.createElement('img');
sourceImage.addEventListener('load', function () {
const palette = thief.getPalette(sourceImage, 5, quality);
const dominantColor = palette[0];
callback(dominantColor, this);
});
sourceImage.src = imageData;
});
};
}
export default ColorThief;

View File

@@ -24,24 +24,30 @@ function validateOptions(options) {
if (typeof colorCount === 'undefined' || !Number.isInteger(colorCount)) {
colorCount = 10;
} else if (colorCount === 1 ) {
throw new Error('colorCount should be between 2 and 20. To get one color, call getColor() instead of getPalette()');
} else if (colorCount === 1) {
throw new Error(
'colorCount should be between 2 and 20. To get one color, call getColor() instead of getPalette()',
);
} else {
colorCount = Math.max(colorCount, 2);
colorCount = Math.min(colorCount, 20);
}
if (typeof quality === 'undefined' || !Number.isInteger(quality) || quality < 1) {
if (
typeof quality === 'undefined' ||
!Number.isInteger(quality) ||
quality < 1
) {
quality = 10;
}
return {
colorCount,
quality
}
quality,
};
}
export default {
createPixelArray,
validateOptions
validateOptions,
};

0
src/core.ts Normal file
View File