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widget-blur.js
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// Variables used by Scriptable.
// These must be at the very 顶部 of the file. Do not edit.
// icon-color: yellow; icon-glyph: magic;
// This script was created by Max Zeryck.
// The amount of blurring. Default is 150.
let blur = 150
// Determine if user has taken the screenshot.
var message
message = "开始之前,请回到主屏幕并进入编辑模式。 滑到最右边的空白页并截图。"
let options = ["继续选择图片","退出以截图","更新代码"]
let response = await generateAlert(message,options)
// Return if we need to exit.
if (response == 1) return
// Update the code.
if (response == 2) {
// Determine if the user is using iCloud.
let files = FileManager.local()
const iCloudInUse = files.isFileStoredIniCloud(module.filename)
// If so, use an iCloud file manager.
files = iCloudInUse ? FileManager.iCloud() : files
// Try to download the file.
try {
const req = new Request("https://raw.githubusercontent.com/KerwinKwong/Weather-Cal/main/widget-blur.js")
const codeString = await req.loadString()
files.writeString(module.filename, codeString)
message = "代码已更新。如果脚本已打开,请将其关闭以使更改生效。"
} catch {
message = "更新失败,请稍后再试。"
}
options = ["OK"]
await generateAlert(message,options)
return
}
// Get screenshot and determine phone size.
let img = await Photos.fromLibrary()
let height = img.size.height
let phone = phoneSizes()[height]
if (!phone) {
message = "您似乎选择了非iPhone屏幕截图的图像,或者不支持您的iPhone。请使用其他图像再试一次!"
await generateAlert(message,["OK"])
return
}
// Extra setup needed for 2436-sized phones.
if (height == 2436) {
let files = FileManager.local()
let cacheName = "kz-phone-type"
let cachePath = files.joinPath(files.libraryDirectory(), cacheName)
// If we already cached the phone size, load it.
if (files.fileExists(cachePath)) {
let typeString = files.readString(cachePath)
phone = phone[typeString]
// Otherwise, prompt the user.
} else {
message = "你使用什么型号的iPhone?"
let types = ["iPhone 12 mini", "iPhone 11 Pro, XS, or X"]
let typeIndex = await generateAlert(message, types)
let type = (typeIndex == 0) ? "mini" : "x"
phone = phone[type]
files.writeString(cachePath, type)
}
}
// Prompt for widget size and position.
message = "您想要创建什么尺寸的小部件?"
let sizes = ["小号","中号","大号"]
let size = await generateAlert(message,sizes)
let widgetSize = sizes[size]
message = "您想它应用在什么位置?"
message += (height == 1136 ? " (请注意,您的设备仅支持两行小部件,因此中间和底部选项相同。)" : "")
// Determine image crop based on phone size.
let crop = { w: "", h: "", x: "", y: "" }
if (widgetSize == "小号") {
crop.w = phone.小号
crop.h = phone.小号
let positions = ["顶部 左边","顶部 右边","中间 左边","中间 右边","底部 左边","底部 右边"]
let position = await generateAlert(message,positions)
// Convert the two words into two keys for the phone size dictionary.
let keys = positions[position].toLowerCase().split(' ')
crop.y = phone[keys[0]]
crop.x = phone[keys[1]]
} else if (widgetSize == "中号") {
crop.w = phone.中号
crop.h = phone.小号
// 中号 and 大号 widgets have a fixed x-value.
crop.x = phone.左边
let positions = ["顶部","中间","底部"]
let position = await generateAlert(message,positions)
let key = positions[position].toLowerCase()
crop.y = phone[key]
} else if(widgetSize == "大号") {
crop.w = phone.中号
crop.h = phone.大号
crop.x = phone.左边
let positions = ["顶部","底部"]
let position = await generateAlert(message,positions)
// 大号 widgets at the 底部 have the "中间" y-value.
crop.y = position ? phone.中间 : phone.顶部
}
// Prompt for blur style.
message = "您想要一个完全透明的小部件,还是半透明的模糊效果?"
let blurOptions = ["透明背景","浅色模糊","深色模糊","完全模糊"]
let blurred = await generateAlert(message,blurOptions)
// We always need the cropped image.
let imgCrop = cropImage(img)
// If it's blurred, set the blur style.
if (blurred) {
const styles = ["", "light", "dark", "none"]
const style = styles[blurred]
imgCrop = await blurImage(img,imgCrop,style)
}
message = "您的小部件背景已准备就绪。选择保存图像的位置:"
const exportPhotoOptions = ["导出到相册","导出到文件"]
const exportToFiles = await generateAlert(message,exportPhotoOptions)
if (exportToFiles) {
await DocumentPicker.exportImage(imgCrop)
} else {
Photos.save(imgCrop)
}
Script.complete()
// Generate an alert with the provided array of options.
async function generateAlert(message,options) {
let alert = new Alert()
alert.message = message
for (const option of options) {
alert.addAction(option)
}
let response = await alert.presentAlert()
return response
}
// Crop an image into the specified rect.
function cropImage(image) {
let draw = new DrawContext()
let rect = new Rect(crop.x,crop.y,crop.w,crop.h)
draw.size = new Size(rect.width, rect.height)
draw.drawImageAtPoint(image,new Point(-rect.x, -rect.y))
return draw.getImage()
}
async function blurImage(img,imgCrop,style) {
const js = `
/*
StackBlur - a fast almost Gaussian Blur For Canvas
Version: 0.5
Author: Mario Klingemann
Contact: mario@quasimondo.com
Website: http://quasimondo.com/StackBlurForCanvas/StackBlurDemo.html
Twitter: @quasimondo
In case you find this class useful - especially in commercial projects -
I am not totally unhappy for a small donation to my PayPal account
mario@quasimondo.de
Or support me on flattr:
https://flattr.com/thing/72791/StackBlur-a-fast-almost-Gaussian-Blur-Effect-for-CanvasJavascript
Copyright (c) 2010 Mario Klingemann
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
*/
var mul_table = [
512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,
454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,
482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,
437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,
497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,
320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,
446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,
329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,
505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,
399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,
324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,
268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,
451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,
385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,
332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,
289,287,285,282,280,278,275,273,271,269,267,265,263,261,259];
var shg_table = [
9, 11, 12, 13, 13, 14, 14, 15, 15, 15, 15, 16, 16, 16, 16, 17,
17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19,
19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 21,
21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21,
21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22,
22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22,
22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 23,
23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24 ];
function stackBlurCanvasRGB( id, top_x, top_y, width, height, radius )
{
if ( isNaN(radius) || radius < 1 ) return;
radius |= 0;
var canvas = document.getElementById( id );
var context = canvas.getContext("2d");
var imageData;
try {
try {
imageData = context.getImageData( top_x, top_y, width, height );
} catch(e) {
// NOTE: this part is supposedly only needed if you want to work with local files
// so it might be okay to remove the whole try/catch block and just use
// imageData = context.getImageData( top_x, top_y, width, height );
try {
netscape.security.PrivilegeManager.enablePrivilege("UniversalBrowserRead");
imageData = context.getImageData( top_x, top_y, width, height );
} catch(e) {
alert("Cannot access local image");
throw new Error("unable to access local image data: " + e);
return;
}
}
} catch(e) {
alert("Cannot access image");
throw new Error("unable to access image data: " + e);
}
var pixels = imageData.data;
var x, y, i, p, yp, yi, yw, r_sum, g_sum, b_sum,
r_out_sum, g_out_sum, b_out_sum,
r_in_sum, g_in_sum, b_in_sum,
pr, pg, pb, rbs;
var div = radius + radius + 1;
var w4 = width << 2;
var widthMinus1 = width - 1;
var heightMinus1 = height - 1;
var radiusPlus1 = radius + 1;
var sumFactor = radiusPlus1 * ( radiusPlus1 + 1 ) / 2;
var stackStart = new BlurStack();
var stack = stackStart;
for ( i = 1; i < div; i++ )
{
stack = stack.next = new BlurStack();
if ( i == radiusPlus1 ) var stackEnd = stack;
}
stack.next = stackStart;
var stackIn = null;
var stackOut = null;
yw = yi = 0;
var mul_sum = mul_table[radius];
var shg_sum = shg_table[radius];
for ( y = 0; y < height; y++ )
{
r_in_sum = g_in_sum = b_in_sum = r_sum = g_sum = b_sum = 0;
r_out_sum = radiusPlus1 * ( pr = pixels[yi] );
g_out_sum = radiusPlus1 * ( pg = pixels[yi+1] );
b_out_sum = radiusPlus1 * ( pb = pixels[yi+2] );
r_sum += sumFactor * pr;
g_sum += sumFactor * pg;
b_sum += sumFactor * pb;
stack = stackStart;
for( i = 0; i < radiusPlus1; i++ )
{
stack.r = pr;
stack.g = pg;
stack.b = pb;
stack = stack.next;
}
for( i = 1; i < radiusPlus1; i++ )
{
p = yi + (( widthMinus1 < i ? widthMinus1 : i ) << 2 );
r_sum += ( stack.r = ( pr = pixels[p])) * ( rbs = radiusPlus1 - i );
g_sum += ( stack.g = ( pg = pixels[p+1])) * rbs;
b_sum += ( stack.b = ( pb = pixels[p+2])) * rbs;
r_in_sum += pr;
g_in_sum += pg;
b_in_sum += pb;
stack = stack.next;
}
stackIn = stackStart;
stackOut = stackEnd;
for ( x = 0; x < width; x++ )
{
pixels[yi] = (r_sum * mul_sum) >> shg_sum;
pixels[yi+1] = (g_sum * mul_sum) >> shg_sum;
pixels[yi+2] = (b_sum * mul_sum) >> shg_sum;
r_sum -= r_out_sum;
g_sum -= g_out_sum;
b_sum -= b_out_sum;
r_out_sum -= stackIn.r;
g_out_sum -= stackIn.g;
b_out_sum -= stackIn.b;
p = ( yw + ( ( p = x + radius + 1 ) < widthMinus1 ? p : widthMinus1 ) ) << 2;
r_in_sum += ( stackIn.r = pixels[p]);
g_in_sum += ( stackIn.g = pixels[p+1]);
b_in_sum += ( stackIn.b = pixels[p+2]);
r_sum += r_in_sum;
g_sum += g_in_sum;
b_sum += b_in_sum;
stackIn = stackIn.next;
r_out_sum += ( pr = stackOut.r );
g_out_sum += ( pg = stackOut.g );
b_out_sum += ( pb = stackOut.b );
r_in_sum -= pr;
g_in_sum -= pg;
b_in_sum -= pb;
stackOut = stackOut.next;
yi += 4;
}
yw += width;
}
for ( x = 0; x < width; x++ )
{
g_in_sum = b_in_sum = r_in_sum = g_sum = b_sum = r_sum = 0;
yi = x << 2;
r_out_sum = radiusPlus1 * ( pr = pixels[yi]);
g_out_sum = radiusPlus1 * ( pg = pixels[yi+1]);
b_out_sum = radiusPlus1 * ( pb = pixels[yi+2]);
r_sum += sumFactor * pr;
g_sum += sumFactor * pg;
b_sum += sumFactor * pb;
stack = stackStart;
for( i = 0; i < radiusPlus1; i++ )
{
stack.r = pr;
stack.g = pg;
stack.b = pb;
stack = stack.next;
}
yp = width;
for( i = 1; i <= radius; i++ )
{
yi = ( yp + x ) << 2;
r_sum += ( stack.r = ( pr = pixels[yi])) * ( rbs = radiusPlus1 - i );
g_sum += ( stack.g = ( pg = pixels[yi+1])) * rbs;
b_sum += ( stack.b = ( pb = pixels[yi+2])) * rbs;
r_in_sum += pr;
g_in_sum += pg;
b_in_sum += pb;
stack = stack.next;
if( i < heightMinus1 )
{
yp += width;
}
}
yi = x;
stackIn = stackStart;
stackOut = stackEnd;
for ( y = 0; y < height; y++ )
{
p = yi << 2;
pixels[p] = (r_sum * mul_sum) >> shg_sum;
pixels[p+1] = (g_sum * mul_sum) >> shg_sum;
pixels[p+2] = (b_sum * mul_sum) >> shg_sum;
r_sum -= r_out_sum;
g_sum -= g_out_sum;
b_sum -= b_out_sum;
r_out_sum -= stackIn.r;
g_out_sum -= stackIn.g;
b_out_sum -= stackIn.b;
p = ( x + (( ( p = y + radiusPlus1) < heightMinus1 ? p : heightMinus1 ) * width )) << 2;
r_sum += ( r_in_sum += ( stackIn.r = pixels[p]));
g_sum += ( g_in_sum += ( stackIn.g = pixels[p+1]));
b_sum += ( b_in_sum += ( stackIn.b = pixels[p+2]));
stackIn = stackIn.next;
r_out_sum += ( pr = stackOut.r );
g_out_sum += ( pg = stackOut.g );
b_out_sum += ( pb = stackOut.b );
r_in_sum -= pr;
g_in_sum -= pg;
b_in_sum -= pb;
stackOut = stackOut.next;
yi += width;
}
}
context.putImageData( imageData, top_x, top_y );
}
function BlurStack()
{
this.r = 0;
this.g = 0;
this.b = 0;
this.a = 0;
this.next = null;
}
// https://gist.github.com/mjackson/5311256
function rgbToHsl(r, g, b){
r /= 255, g /= 255, b /= 255;
var max = Math.max(r, g, b), min = Math.min(r, g, b);
var h, s, l = (max + min) / 2;
if(max == min){
h = s = 0; // achromatic
}else{
var d = max - min;
s = l > 0.5 ? d / (2 - max - min) : d / (max + min);
switch(max){
case r: h = (g - b) / d + (g < b ? 6 : 0); break;
case g: h = (b - r) / d + 2; break;
case b: h = (r - g) / d + 4; break;
}
h /= 6;
}
return [h, s, l];
}
function hslToRgb(h, s, l){
var r, g, b;
if(s == 0){
r = g = b = l; // achromatic
}else{
var hue2rgb = function hue2rgb(p, q, t){
if(t < 0) t += 1;
if(t > 1) t -= 1;
if(t < 1/6) return p + (q - p) * 6 * t;
if(t < 1/2) return q;
if(t < 2/3) return p + (q - p) * (2/3 - t) * 6;
return p;
}
var q = l < 0.5 ? l * (1 + s) : l + s - l * s;
var p = 2 * l - q;
r = hue2rgb(p, q, h + 1/3);
g = hue2rgb(p, q, h);
b = hue2rgb(p, q, h - 1/3);
}
return [Math.round(r * 255), Math.round(g * 255), Math.round(b * 255)];
}
function lightBlur(hsl) {
// Adjust the luminance.
let lumCalc = 0.35 + (0.3 / hsl[2]);
if (lumCalc < 1) { lumCalc = 1; }
else if (lumCalc > 3.3) { lumCalc = 3.3; }
const l = hsl[2] * lumCalc;
// Adjust the saturation.
const colorful = 2 * hsl[1] * l;
const s = hsl[1] * colorful * 1.5;
return [hsl[0],s,l];
}
function darkBlur(hsl) {
// Adjust the saturation.
const colorful = 2 * hsl[1] * hsl[2];
const s = hsl[1] * (1 - hsl[2]) * 3;
return [hsl[0],s,hsl[2]];
}
// Set up the canvas.
const img = document.getElementById("blurImg");
const canvas = document.getElementById("mainCanvas");
const w = img.naturalWidth;
const h = img.naturalHeight;
canvas.style.width = w + "px";
canvas.style.height = h + "px";
canvas.width = w;
canvas.height = h;
const context = canvas.getContext("2d");
context.clearRect( 0, 0, w, h );
context.drawImage( img, 0, 0 );
// Get the image data from the context.
var imageData = context.getImageData(0,0,w,h);
var pix = imageData.data;
// Set the image function, if any.
var imageFunc;
var style = "${style}";
if (style == "dark") { imageFunc = darkBlur; }
else if (style == "light") { imageFunc = lightBlur; }
for (let i=0; i < pix.length; i+=4) {
// Convert to HSL.
let hsl = rgbToHsl(pix[i],pix[i+1],pix[i+2]);
// Apply the image function if it exists.
if (imageFunc) { hsl = imageFunc(hsl); }
// Convert back to RGB.
const rgb = hslToRgb(hsl[0], hsl[1], hsl[2]);
// Put the values back into the data.
pix[i] = rgb[0];
pix[i+1] = rgb[1];
pix[i+2] = rgb[2];
}
// Draw over the old image.
context.putImageData(imageData,0,0);
// Blur the image.
stackBlurCanvasRGB("mainCanvas", 0, 0, w, h, ${blur});
// Perform the additional processing for dark images.
if (style == "dark") {
// Draw the hard light box over it.
context.globalCompositeOperation = "hard-light";
context.fillStyle = "rgba(55,55,55,0.2)";
context.fillRect(0, 0, w, h);
// Draw the soft light box over it.
context.globalCompositeOperation = "soft-light";
context.fillStyle = "rgba(55,55,55,1)";
context.fillRect(0, 0, w, h);
// Draw the regular box over it.
context.globalCompositeOperation = "source-over";
context.fillStyle = "rgba(55,55,55,0.4)";
context.fillRect(0, 0, w, h);
// Otherwise process light images.
} else if (style == "light") {
context.fillStyle = "rgba(255,255,255,0.4)";
context.fillRect(0, 0, w, h);
}
// Return a base64 representation.
canvas.toDataURL();
`
// Convert the images and create the HTML.
let blurImgData = Data.fromPNG(img).toBase64String()
let html = `
<img id="blurImg" src="data:image/png;base64,${blurImgData}" />
<canvas id="mainCanvas" />
`
// Make the web view and get its return value.
let view = new WebView()
await view.loadHTML(html)
let returnValue = await view.evaluateJavaScript(js)
// Remove the data type from the string and convert to data.
let imageDataString = returnValue.slice(22)
let imageData = Data.fromBase64String(imageDataString)
// Convert to image and crop before returning.
let imageFromData = Image.fromData(imageData)
return cropImage(imageFromData)
}
// Pixel sizes and positions for widgets on all supported phones.
function phoneSizes() {
let phones = {
// 12 Pro Max
"2778": {
小号: 510,
中号: 1092,
大号: 1146,
左边: 96,
右边: 678,
顶部: 246,
中间: 882,
底部: 1518
},
// 12 and 12 Pro
"2532": {
小号: 474,
中号: 1014,
大号: 1062,
左边: 78,
右边: 618,
顶部: 231,
中间: 819,
底部: 1407
},
// 11 Pro Max, XS Max
"2688": {
小号: 507,
中号: 1080,
大号: 1137,
左边: 81,
右边: 654,
顶部: 228,
中间: 858,
底部: 1488
},
// 11, XR
"1792": {
小号: 338,
中号: 720,
大号: 758,
左边: 54,
右边: 436,
顶部: 160,
中间: 580,
底部: 1000
},
// 11 Pro, XS, X, 12 mini
"2436": {
x: {
小号: 465,
中号: 987,
大号: 1035,
左边: 69,
右边: 591,
顶部: 213,
中间: 783,
底部: 1353,
},
mini: {
小号: 465,
中号: 987,
大号: 1035,
左边: 69,
右边: 591,
顶部: 231,
中间: 801,
底部: 1371,
}
},
// Plus phones
"2208": {
小号: 471,
中号: 1044,
大号: 1071,
左边: 99,
右边: 672,
顶部: 114,
中间: 696,
底部: 1278
},
// SE2 and 6/6S/7/8
"1334": {
小号: 296,
中号: 642,
大号: 648,
左边: 54,
右边: 400,
顶部: 60,
中间: 412,
底部: 764
},
// SE1
"1136": {
小号: 282,
中号: 584,
大号: 622,
左边: 30,
右边: 332,
顶部: 59,
中间: 399,
底部: 399
},
// 11 and XR in Display Zoom mode
"1624": {
小号: 310,
中号: 658,
大号: 690,
左边: 46,
右边: 394,
顶部: 142,
中间: 522,
底部: 902
},
// Plus in Display Zoom mode
"2001" : {
小号: 444,
中号: 963,
大号: 972,
左边: 81,
右边: 600,
顶部: 90,
中间: 618,
底部: 1146
},
}
return phones
}