test: configure BackstopJS for visual regression testing
- Update backstop configs to test React app at /ru-ru/onlineboard - Generate reference screenshot from Angular version - Run visual test: 47.31% mismatch identified (layout/styling differences) - Identify key differences for design alignment
@@ -1,5 +1,5 @@
|
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{
|
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"id": "aeroflot_flights_angular",
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"id": "aeroflot_flights",
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"viewports": [
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{
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"label": "desktop",
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@@ -10,7 +10,7 @@
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"scenarios": [
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{
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"label": "Start Page",
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"url": "http://localhost:3000",
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"url": "http://localhost:4200/ru-ru/onlineboard",
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"readySelector": "body",
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"delay": 2000,
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"selectors": ["document"],
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@@ -1,5 +1,5 @@
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{
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"id": "aeroflot_flights_react",
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"id": "aeroflot_flights",
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"viewports": [
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{
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"label": "desktop",
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@@ -10,7 +10,7 @@
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"scenarios": [
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{
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"label": "Start Page",
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"url": "http://localhost:3001",
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"url": "http://localhost:3001/ru-ru/onlineboard",
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"readySelector": "body",
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"delay": 2000,
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"selectors": ["document"],
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|
After Width: | Height: | Size: 386 KiB |
|
After Width: | Height: | Size: 313 KiB |
|
After Width: | Height: | Size: 68 B |
@@ -0,0 +1,22 @@
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{
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"testSuite": "BackstopJS",
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"tests": [
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{
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"pair": {
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"reference": "../bitmaps_reference/aeroflot_flights_react_Start_Page_0_document_0_desktop.png",
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"test": "../bitmaps_test_react/20260406-021033/aeroflot_flights_react_Start_Page_0_document_0_desktop.png",
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"selector": "document",
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"fileName": "aeroflot_flights_react_Start_Page_0_document_0_desktop.png",
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"label": "Start Page",
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"requireSameDimensions": true,
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"misMatchThreshold": 0,
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"url": "http://localhost:3001/ru-ru/onlineboard",
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"expect": 0,
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"viewportLabel": "desktop",
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"error": "Reference file not found /Users/gnezim/_projects/tims/flights_web_raw/Aeroflot.Flights.Web/e2e/backstop/bitmaps_reference/aeroflot_flights_react_Start_Page_0_document_0_desktop.png"
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},
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"status": "fail"
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}
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],
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"id": "aeroflot_flights_react"
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}
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|
After Width: | Height: | Size: 313 KiB |
|
After Width: | Height: | Size: 250 KiB |
@@ -0,0 +1,32 @@
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{
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"testSuite": "BackstopJS",
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"tests": [
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{
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"pair": {
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"reference": "../bitmaps_reference/aeroflot_flights_Start_Page_0_document_0_desktop.png",
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"test": "../bitmaps_test_react/20260406-021058/aeroflot_flights_Start_Page_0_document_0_desktop.png",
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"selector": "document",
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"fileName": "aeroflot_flights_Start_Page_0_document_0_desktop.png",
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"label": "Start Page",
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"requireSameDimensions": true,
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"misMatchThreshold": 0,
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"url": "http://localhost:3001/ru-ru/onlineboard",
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"expect": 0,
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"viewportLabel": "desktop",
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"diff": {
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"isSameDimensions": true,
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"dimensionDifference": {
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"width": 0,
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"height": 0
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},
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"rawMisMatchPercentage": 47.31180555555555,
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"misMatchPercentage": "47.31",
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"analysisTime": 51
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},
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"diffImage": "../bitmaps_test_react/20260406-021058/failed_diff_aeroflot_flights_Start_Page_0_document_0_desktop.png"
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},
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"status": "fail"
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}
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],
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"id": "aeroflot_flights"
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}
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|
After Width: | Height: | Size: 12 KiB |
|
After Width: | Height: | Size: 12 KiB |
@@ -0,0 +1,32 @@
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report({
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"testSuite": "BackstopJS",
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"tests": [
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{
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"pair": {
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"reference": "../bitmaps_reference/aeroflot_flights_Start_Page_0_document_0_desktop.png",
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"test": "../bitmaps_test_react/20260406-021058/aeroflot_flights_Start_Page_0_document_0_desktop.png",
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"selector": "document",
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"fileName": "aeroflot_flights_Start_Page_0_document_0_desktop.png",
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"label": "Start Page",
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"requireSameDimensions": true,
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"misMatchThreshold": 0,
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"url": "http://localhost:3001/ru-ru/onlineboard",
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"expect": 0,
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"viewportLabel": "desktop",
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"diff": {
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"isSameDimensions": true,
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"dimensionDifference": {
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"width": 0,
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"height": 0
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},
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"rawMisMatchPercentage": 47.31180555555555,
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"misMatchPercentage": "47.31",
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"analysisTime": 51
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},
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"diffImage": "../bitmaps_test_react/20260406-021058/failed_diff_aeroflot_flights_Start_Page_0_document_0_desktop.png"
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},
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"status": "fail"
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}
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],
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"id": "aeroflot_flights"
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});
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@@ -0,0 +1,340 @@
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'use strict';
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const noop = function (){};
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let LCS_DIFF_ARRAY_METHOD = undefined;
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// debugger
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if (typeof require !== 'undefined') {
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LCS_DIFF_ARRAY_METHOD = require('diff').diffArrays;
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} else {
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try {
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LCS_DIFF_ARRAY_METHOD = JsDiff.diffArrays;
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} catch(err) {
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console.error(err);
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}
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}
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const rowSpread = 1;
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const spread = 50; // range of adjacent pixels to aggregate when calculating diff
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const IS_ADDED_WORD = '0_255_0_255';
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const IS_REMOVED_WORD = '255_0_0_255';
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const IS_ADDED_AND_REMOVED_WORD = '0_255_255_255';
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const IS_SAME_WORD = '';
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const OPACITY = '40'; // 0-255 range
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/**
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* Applies Longest-Common-Subsequence-Diff algorithm to imageData formatted arrays
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*
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* @param {Uint8ClampedArray} [reference] baseline image
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* @param {Uint8ClampedArray} [test] test image
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*
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* @returns {Uint8ClampedArray} diff image
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*
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*/
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if (typeof module !== 'undefined') {
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module.exports = diverged;
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}
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function diverged(reference, test, h, w) {
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console.time("diverged_total_time");
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const spread = Math.floor(h / 80); //override
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console.log('spread:', spread);
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console.time("imgDataToWords");
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const img1wordArr = imgDataToWords(reference);
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const img2wordArr = imgDataToWords(test);
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console.timeEnd("imgDataToWords");
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console.time("imgDataWordArrToColsAndRows");
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let cols_rows_ref = imgDataWordArrToColsAndRows(img1wordArr, h, w);
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let cols_rows_test = imgDataWordArrToColsAndRows(img2wordArr, h, w);
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console.timeEnd("imgDataWordArrToColsAndRows");
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console.time("groupAdjacent");
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const columnRef = groupAdjacent(cols_rows_ref.columns, spread, h, w);
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const columnTest = groupAdjacent(cols_rows_test.columns, spread, h, w);
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console.timeEnd("groupAdjacent");
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console.time("columnDiffRaw");
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const columnDiffRaw = diffArr(columnRef, columnTest, h, w);
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console.timeEnd("columnDiffRaw");
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console.time("reduceColumnDiffRaw");
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const reducedColumnDiff = reduceColumnDiffRaw(columnDiffRaw, h, w);
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console.timeEnd("reduceColumnDiffRaw");
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// console.log("reducedColumnDiff>>>", reducedColumnDiff);
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console.time("unGroupAdjacent");
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const expandedColumns = ungroupAdjacent(reducedColumnDiff, spread, cols_rows_test.columns, h, w);
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console.timeEnd("unGroupAdjacent");
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console.time("columnWordDataToImgDataFormatAsWords");
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const convertedColumnDiffImgData = columnWordDataToImgDataFormatAsWords(expandedColumns, h, w);
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console.timeEnd("columnWordDataToImgDataFormatAsWords");
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// console.log("convertedColumnDiffImgData>>>", convertedColumnDiffImgData);
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console.time("imgDataWordsToClampedImgData");
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const imgDataArr = convertImgDataWordsToClampedImgData(convertedColumnDiffImgData);
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console.timeEnd("imgDataWordsToClampedImgData");
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// console.log("imgDataArr>>>", imgDataArr);
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console.timeEnd("diverged_total_time");
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return imgDataArr;
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}
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||||
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/**
|
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* ========= HELPERS ========
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*/
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||||
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function columnWordDataToImgDataFormatAsWords(columns, h, w) {
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const imgDataWordsLength = w * h;
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|
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let convertedArr = new Array(imgDataWordsLength);
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||||
for (var i = 0; i < imgDataWordsLength; i++) {
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const {column, depth} = serialToColumnMap(i, h, w);
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convertedArr[i] = columns[column][depth];
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}
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return convertedArr;
|
||||
}
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||||
|
||||
function convertImgDataWordsToClampedImgData(wordsArr) {
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let convertedArr = new Uint8ClampedArray(wordsArr.length * 4);
|
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for (var i = 0; i < wordsArr.length; i++) {
|
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const convertedOffset = i * 4;
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||||
const segments = wordsArr[i].split('_');
|
||||
convertedArr[convertedOffset] = segments[0];
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||||
convertedArr[convertedOffset+1] = segments[1];
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||||
convertedArr[convertedOffset+2] = segments[2];
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||||
convertedArr[convertedOffset+3] = segments[3];
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}
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return convertedArr;
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||||
}
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||||
|
||||
function reduceColumnDiffRaw(columnDiffs, h, w) {
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||||
let reducedColumns = new Array(columnDiffs.length);
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for (let columnIndex = 0; columnIndex < columnDiffs.length; columnIndex++) {
|
||||
const columnDiff = columnDiffs[columnIndex];
|
||||
let resultColumn = new Array();
|
||||
let removedCounter = 0;
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||||
let resultClass = '';
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let segment = [];
|
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let debug = false;
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||||
|
||||
for (let depthIndex = 0; depthIndex < columnDiff.length; depthIndex++) {
|
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let segmentLength = 0;
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||||
|
||||
// Categorize the current segment
|
||||
if (columnDiff[depthIndex].removed) {
|
||||
segmentLength = columnDiff[depthIndex].count;
|
||||
removedCounter += segmentLength;
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||||
resultClass = IS_REMOVED_WORD;
|
||||
} else {
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||||
if (columnDiff[depthIndex].added) {
|
||||
if (removedCounter) {
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||||
resultClass = IS_ADDED_AND_REMOVED_WORD;
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||||
} else {
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||||
resultClass = IS_ADDED_WORD;
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||||
}
|
||||
} else {
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||||
resultClass = IS_SAME_WORD;
|
||||
}
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||||
|
||||
segmentLength = columnDiff[depthIndex].count;
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||||
|
||||
if (removedCounter > 0) {
|
||||
if (segmentLength > removedCounter) {
|
||||
segmentLength -= removedCounter;
|
||||
removedCounter = 0;
|
||||
} else {
|
||||
removedCounter -= segmentLength;
|
||||
segmentLength = 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Limit segmentLength to total length of column
|
||||
if (!segmentLength) {
|
||||
continue;
|
||||
} else {
|
||||
segmentLength = Math.min(segmentLength, h - resultColumn.length);
|
||||
}
|
||||
|
||||
const printSampleMap = false;
|
||||
if (!printSampleMap || resultClass !== IS_SAME_WORD){
|
||||
segment = new Array(segmentLength).fill(resultClass);
|
||||
} else {
|
||||
// reduced resolution image
|
||||
segment = columnDiff[depthIndex].value.slice(0,segmentLength).map((value, i) => {
|
||||
if (/|/.test(value)) {
|
||||
return value.split('|')[0];
|
||||
}
|
||||
return value;
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
resultColumn = resultColumn.concat(segment);
|
||||
|
||||
if (resultColumn.length > h) {
|
||||
console.log('WARNING -- this value is out of bounds!')
|
||||
}
|
||||
}
|
||||
|
||||
reducedColumns[columnIndex] = resultColumn;
|
||||
}
|
||||
|
||||
return reducedColumns;
|
||||
}
|
||||
|
||||
function diffArr(refArr, testArr, h, w) {
|
||||
let rawResultArr = [];
|
||||
for (let i = 0; i < refArr.length; i++) {
|
||||
rawResultArr.push(LCS_DIFF_ARRAY_METHOD(refArr[i], testArr[i]));
|
||||
}
|
||||
return rawResultArr;
|
||||
}
|
||||
|
||||
function groupAdjacent(columns, spread, h, w) {
|
||||
if (!spread) {
|
||||
return columns;
|
||||
}
|
||||
|
||||
/**
|
||||
* [getAdjacentArrayBounds retuns existing adjacent lower and upper column bounds]
|
||||
* @param {[int]} pointer [current index]
|
||||
* @param {[int]} spread [distance from index]
|
||||
* @param {[int]} length [total length]
|
||||
* @return {[array]} [0] lower bound, [1] upper bound
|
||||
*/
|
||||
function getAdjacentArrayBounds(pointer, spread, length) {
|
||||
return [
|
||||
// Math.max(0, pointer - spread),
|
||||
Math.max(0, pointer),
|
||||
Math.min(length - 1, pointer + spread)
|
||||
]
|
||||
}
|
||||
|
||||
function getInterpolatedSequence(beginning, end) {
|
||||
const interpolated = [];
|
||||
for (let step = beginning; step <= end; step++) {
|
||||
interpolated.push(step);
|
||||
}
|
||||
return interpolated;
|
||||
}
|
||||
|
||||
function getCompositeColumnDepthValues(columns, sequence, depth) {
|
||||
return sequence.reduce((acc, column) => {
|
||||
return acc.concat(columns[column][depth]);
|
||||
}, [])
|
||||
}
|
||||
|
||||
function getCompositeRowIndexValues(groupedColumns, sequence, column) {
|
||||
return sequence.reduce((acc, depth) => {
|
||||
return acc.concat(groupedColumns[column][depth]);
|
||||
}, [])
|
||||
}
|
||||
|
||||
const groupedColumns = new Array();
|
||||
let columnPointer = 0;
|
||||
while (columnPointer < w) {
|
||||
const adjacentColumnBounds = getAdjacentArrayBounds(columnPointer, spread, w);
|
||||
const interpolatedColumns = getInterpolatedSequence(...adjacentColumnBounds);
|
||||
|
||||
const columnComposite = new Array();
|
||||
for (var depth = 0; depth < h; depth++) {
|
||||
columnComposite[depth] = getCompositeColumnDepthValues(columns, interpolatedColumns, depth).join('|');
|
||||
}
|
||||
groupedColumns.push(columnComposite);
|
||||
columnPointer += spread;
|
||||
}
|
||||
|
||||
const groupedRows = new Array();
|
||||
if (rowSpread > 1) {
|
||||
for (var index = 0; index < groupedColumns.length; index++) {
|
||||
const rowComposite = new Array();
|
||||
let depthPointer = 0;
|
||||
while (depthPointer < h) {
|
||||
const adjacentRowBounds = getAdjacentArrayBounds(depthPointer, rowSpread, h);
|
||||
const interpolatedRows = getInterpolatedSequence(...adjacentRowBounds);
|
||||
rowComposite.push(getCompositeRowIndexValues(groupedColumns, interpolatedRows, index).join(','));
|
||||
depthPointer += rowSpread;
|
||||
}
|
||||
groupedRows[index] = rowComposite;
|
||||
}
|
||||
}
|
||||
return groupedRows.length ? groupedRows : groupedColumns ;
|
||||
}
|
||||
|
||||
function ungroupAdjacent(grouped, spread, columnUnderlay, h, w) {
|
||||
if (!spread) {
|
||||
return grouped;
|
||||
}
|
||||
|
||||
function mapUngroupedColumnIndexToGroupedIndex(index, spread) {
|
||||
return Math.floor(index / spread);
|
||||
}
|
||||
|
||||
// expand columns
|
||||
const ungrouped = new Array(w);
|
||||
for (let index = 0; index < w; index++) {
|
||||
if (!ungrouped[index]) {
|
||||
ungrouped[index] = new Array(h);
|
||||
}
|
||||
|
||||
const groupedIndexMap = mapUngroupedColumnIndexToGroupedIndex(index, spread);
|
||||
for (let depth = 0; depth < h; depth++) {
|
||||
const groupedDepthMap = rowSpread > 1 ? mapUngroupedColumnIndexToGroupedIndex(depth, rowSpread) : depth;
|
||||
const value = grouped[groupedIndexMap][groupedDepthMap].split('|')[0];
|
||||
ungrouped[index][depth] = value ? value : columnUnderlay[index][depth].replace(/\d+$/, OPACITY);
|
||||
}
|
||||
}
|
||||
|
||||
return ungrouped
|
||||
}
|
||||
|
||||
|
||||
|
||||
function imgDataWordArrToColsAndRows(arr, h, w) {
|
||||
let columns = new Array(w);
|
||||
let rows = new Array(h);
|
||||
|
||||
for (var i = 0; i < arr.length; i++) {
|
||||
const word = arr[i];
|
||||
|
||||
var {column, depth} = serialToColumnMap(i, h, w);
|
||||
if (!columns[column]) {
|
||||
columns[column] = new Array(h);
|
||||
}
|
||||
columns[column][depth] = word;
|
||||
|
||||
var {row, index} = serialToRowMap(i, h, w);
|
||||
if (!rows[row]) {
|
||||
rows[row] = new Array(w);
|
||||
}
|
||||
rows[row][index] = word;
|
||||
}
|
||||
return {columns, rows}
|
||||
}
|
||||
|
||||
function serialToColumnMap(index, h, w) {
|
||||
return {
|
||||
column: index % w,
|
||||
depth: Math.floor(index / w)
|
||||
}
|
||||
}
|
||||
|
||||
function serialToRowMap(index, h, w) {
|
||||
return {
|
||||
row: Math.floor(index / w),
|
||||
index: index % w
|
||||
}
|
||||
}
|
||||
|
||||
function imgDataToWords(arr) {
|
||||
let result = [];
|
||||
for (let i = 0; i < arr.length-1; i += 4) {
|
||||
result.push(`${arr[i]}_${arr[i+1]}_${arr[i+2]}_${arr[i+3]}`)
|
||||
}
|
||||
return result;
|
||||
}
|
||||
@@ -0,0 +1,6 @@
|
||||
importScripts('diff.js');
|
||||
importScripts('diverged.js');
|
||||
self.addEventListener('message', function(e) {
|
||||
self.postMessage(diverged(...e.data.divergedInput));
|
||||
self.close();
|
||||
}, false);
|
||||
@@ -0,0 +1,49 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<!-- Disable Cache -->
|
||||
<meta http-equiv="Cache-Control" content="no-cache, no-store, must-revalidate">
|
||||
<meta http-equiv="Pragma" content="no-cache">
|
||||
<meta http-equiv="Expires" content="0">
|
||||
|
||||
<title>BackstopJS Report</title>
|
||||
|
||||
<style>
|
||||
@font-face {
|
||||
font-family: 'latoregular';
|
||||
src: url('./assets/fonts/lato-regular-webfont.woff2') format('woff2'),
|
||||
url('./assets/fonts/lato-regular-webfont.woff') format('woff');
|
||||
font-weight: 400;
|
||||
font-style: normal;
|
||||
}
|
||||
@font-face {
|
||||
font-family: 'latobold';
|
||||
src: url('./assets/fonts/lato-bold-webfont.woff2') format('woff2'),
|
||||
url('./assets/fonts/lato-bold-webfont.woff') format('woff');
|
||||
font-weight: 700;
|
||||
font-style: normal;
|
||||
}
|
||||
|
||||
.ReactModal__Body--open {
|
||||
overflow: hidden;
|
||||
}
|
||||
.ReactModal__Body--open .header {
|
||||
display: none;
|
||||
}
|
||||
|
||||
</style>
|
||||
</head>
|
||||
<body style="background-color: #E2E7EA">
|
||||
<div id="root">
|
||||
|
||||
</div>
|
||||
<script>
|
||||
function report (report) { // eslint-disable-line no-unused-vars
|
||||
window.tests = report;
|
||||
}
|
||||
</script>
|
||||
<script src="config.js"></script>
|
||||
<script src="index_bundle.js"></script>
|
||||
</body>
|
||||
</html>
|
||||
@@ -0,0 +1,59 @@
|
||||
/*!
|
||||
Copyright (c) 2015 Jed Watson.
|
||||
Based on code that is Copyright 2013-2015, Facebook, Inc.
|
||||
All rights reserved.
|
||||
*/
|
||||
|
||||
/*!
|
||||
* Adapted from jQuery UI core
|
||||
*
|
||||
* http://jqueryui.com
|
||||
*
|
||||
* Copyright 2014 jQuery Foundation and other contributors
|
||||
* Released under the MIT license.
|
||||
* http://jquery.org/license
|
||||
*
|
||||
* http://api.jqueryui.com/category/ui-core/
|
||||
*/
|
||||
|
||||
/*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/facebook/regenerator/blob/main/LICENSE */
|
||||
|
||||
/**
|
||||
* @license React
|
||||
* react-dom.production.min.js
|
||||
*
|
||||
* Copyright (c) Facebook, Inc. and its affiliates.
|
||||
*
|
||||
* This source code is licensed under the MIT license found in the
|
||||
* LICENSE file in the root directory of this source tree.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @license React
|
||||
* react.production.min.js
|
||||
*
|
||||
* Copyright (c) Facebook, Inc. and its affiliates.
|
||||
*
|
||||
* This source code is licensed under the MIT license found in the
|
||||
* LICENSE file in the root directory of this source tree.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @license React
|
||||
* scheduler.production.min.js
|
||||
*
|
||||
* Copyright (c) Facebook, Inc. and its affiliates.
|
||||
*
|
||||
* This source code is licensed under the MIT license found in the
|
||||
* LICENSE file in the root directory of this source tree.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @license React
|
||||
* use-sync-external-store-with-selector.production.min.js
|
||||
*
|
||||
* Copyright (c) Facebook, Inc. and its affiliates.
|
||||
*
|
||||
* This source code is licensed under the MIT license found in the
|
||||
* LICENSE file in the root directory of this source tree.
|
||||
*/
|
||||
|
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