diff --git a/.prettierignore b/.prettierignore index 1e81d5f..6f06772 100644 --- a/.prettierignore +++ b/.prettierignore @@ -3,4 +3,8 @@ node_modules **/lib **/package.json !/package.json +chat.json +coverage loops +notebooks +src/opencv/opencv-4.8.0.js \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json index 4d52c50..377b7b5 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -6,10 +6,20 @@ "version": "0.2.0", "configurations": [ { + "name": "Firefox", "type": "firefox", - "request": "attach", - "name": "Attach to Firefox", - "url": "http://localhost:13013/lab?" + "request": "launch", + "reAttach": false, + "url": "http://localhost:13013/lab?", + "profile": "dev-edition-default", + "keepProfileChanges": true, + "pathMappings": [ + { + "url": "webpack://${workspaceFolderBasename}/", + "path": "${workspaceFolder}/" + } + ], + "webRoot": "${workspaceFolder}" }, { "type": "node", @@ -32,22 +42,6 @@ "program": "${workspaceFolder}/node_modules/jest/bin/jest" } }, - { - "name": "Firefox", - "type": "firefox", - "request": "launch", - "reAttach": false, - "url": "http://localhost:13013/lab?", - "profile": "dev-edition-default", - "keepProfileChanges": true, - "pathMappings": [ - { - "url": "webpack://${workspaceFolderBasename}/", - "path": "${workspaceFolder}/" - } - ], - "webRoot": "${workspaceFolder}" - }, { "name": "JupyterLab backend", "type": "python", diff --git a/notebooks/demo.ipynb b/notebooks/demo.ipynb index 19c656f..c6e8054 100644 --- a/notebooks/demo.ipynb +++ b/notebooks/demo.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 1, "id": "20faf655-7078-4791-b9cb-becd72c45b4c", "metadata": {}, "outputs": [], @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 2, "id": "0cd0df46-181c-4a1c-8d15-31721f68bb73", "metadata": {}, "outputs": [ @@ -115,7 +115,7 @@ "4 5 5.0 3.6 1.4 0.2 Iris-setosa" ] }, - "execution_count": 135, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -127,25 +127,33 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 3, "id": "44c3beb2-740a-4056-a93b-75fe1b749233", "metadata": { "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.11/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", + " self._figure.tight_layout(*args, **kwargs)\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 136, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] diff --git a/package.json b/package.json index 146ff9f..e04428a 100644 --- a/package.json +++ b/package.json @@ -232,7 +232,8 @@ "jupyterlab": { "extension": true, "outputDir": "loops/labextension", - "schemaDir": "schema" + "schemaDir": "schema", + "webpackConfig": "./webpack.config.js" }, "eslintIgnore": [ "node_modules", @@ -262,7 +263,7 @@ "max-len": [ "error", { - "code": 120, + "code": 160, "comments": 180 } ], diff --git a/src/Detail/DiffDetail.tsx b/src/Detail/DiffDetail.tsx index 62c6414..f55acf9 100644 --- a/src/Detail/DiffDetail.tsx +++ b/src/Detail/DiffDetail.tsx @@ -1,10 +1,14 @@ import { ReactWidget } from '@jupyterlab/apputils'; -import { ICell } from '@jupyterlab/nbformat'; -import { createStyles } from '@mantine/core'; -import * as monaco from 'monaco-editor'; -import React, { useEffect, useRef, useState } from 'react'; +import { IError } from '@jupyterlab/nbformat'; +import { copyIcon } from '@jupyterlab/ui-components'; +import { Tabs, createStyles } from '@mantine/core'; +import { IconFileCode, IconFileText, IconPhoto } from '@tabler/icons-react'; +import React from 'react'; +import { CellProvenance, CodeCellProvenance, isCodeCellProvenance } from '../Provenance/JupyterListener'; +import { TextDiff } from './TextDiff'; +import { ImgDetailDiff } from './ImgDetailDiff'; -const useStyles = createStyles((theme, _params, getRef) => ({ +export const useStyles = createStyles((theme, _params, getRef) => ({ diffDetail: { label: 'diffDetail', width: '100%', @@ -22,7 +26,7 @@ const useStyles = createStyles((theme, _params, getRef) => ({ borderRight: 'var(--jp-border-width) solid var(--jp-toolbar-border-color)', padding: '0.5rem', ' input': { - paddingRight: '0.5rem' + marginRight: '0.5em' }, ' header': { fontWeight: 600 @@ -47,8 +51,8 @@ const useStyles = createStyles((theme, _params, getRef) => ({ } })); -interface IDiffDetailProps { - cell: ICell; +export interface IDiffDetailProps { + cell: CellProvenance; stateNo: number; timestamp: Date; } @@ -66,112 +70,198 @@ export class DiffDetail extends ReactWidget { this.id = 'DiffDetail'; this.title.label = 'Cell Difference'; this.title.closable = true; + this.title.icon = copyIcon; + //set height of the Widget + this.node.style.minHeight = window.innerHeight / 5 + 'px'; + this.node.style.height = window.innerHeight / 3 + 'px'; } render(): JSX.Element { - // return ; - return ; - } -} + const diffTools: { tab: JSX.Element; panel: JSX.Element }[] = []; -interface IMonacoProps { - newCode: IDiffDetailProps; - oldCode: IDiffDetailProps; - language: string; -} - -const MonacoEditor = ({ newCode, oldCode, language }: IMonacoProps) => { - const { classes, cx } = useStyles(); - const editorRef = useRef(null); - const leftHeader = useRef(null); - const [diffMode, setDiffMode] = useState('side-by-side'); - - const handleOptionChange = event => { - setDiffMode(event.target.value); - }; - - useEffect(() => { - // Create the editor instance - const oldModel = monaco.editor.createModel(oldCode.cell?.source.toString() ?? '', language); - const newModel = monaco.editor.createModel(newCode.cell?.source.toString() ?? '', language); - - let diffEditor: monaco.editor.IStandaloneDiffEditor; - if (editorRef.current) { - console.log('ba bam bam BAM!'); - diffEditor = monaco.editor.createDiffEditor(editorRef.current, { - // default editor props: https://microsoft.github.io/monaco-editor/typedoc/enums/editor.EditorOption.html - // Diff editor props: https://microsoft.github.io/monaco-editor/typedoc/interfaces/editor.IDiffEditorBaseOptions.html - readOnly: true, // read only for new text - originalEditable: false, // read only for old text - automaticLayout: true, // taken from example, probably useful when resizing - enableSplitViewResizing: true, - ignoreTrimWhitespace: true, // ignore white ppace - diffAlgorithm: 'advanced', - renderIndicators: true, // +/- signs in the gutter - renderLineHighlightOnlyWhenFocus: true, - - // Render the diff inline - renderSideBySide: diffMode === 'side-by-side' - }); - diffEditor.setModel({ - original: oldModel, - modified: newModel + // input diff for code and raw cells + if (['code', 'raw'].includes(this.current.cell.type)) { + //adapt syntax highlight to cell type + const language = this.current.cell.type === 'code' ? 'python' : 'text/plain'; + diffTools.push({ + tab: ( + } value="input"> + Code + + ), + panel: ( + + + + ) }); + } + + // output diff for code cells + if (isCodeCellProvenance(this.current.cell)) { + for (const [outputIndex, output] of this.current.cell.output.entries()) { + const type = output.output_type; + // type can be: + // * stream: prints or streaming outputs (there can be multiple stream outputs, e.g., for stdout and stderr) + // * execute_result: last line of cell + // * display_data: seaborn/matplotlib + // * update_display_data: update a display_data output + // * error: errors during code execution - diffEditor.getOriginalEditor().onDidLayoutChange(layout => { - if (leftHeader.current) { - if (diffMode === 'side-by-side') { - leftHeader.current.style.width = layout.width + 'px'; - } else { - leftHeader.current.style.width = 'calc(50% - 14px)'; + if (type === 'stream') { + const key = type; + + // add text diff + diffTools.push({ + tab: ( + } value={`output-${outputIndex}-${key}`}> + Output {outputIndex}: {key} + + ), + panel: ( + + + + ) + }); + } else if (type === 'error') { + const key = type; + // Remove Ansi Escape Sequences as they are not rendered correctly + // Regex src: https://stackoverflow.com/questions/25245716/remove-all-ansi-colors-styles-from-strings + // disable eslint warning on next line, because we want to match the ansi escape sequences it is complaining about + // eslint-disable-next-line no-control-regex + const ansiRegex = new RegExp('\u001b[^m]*?m', 'g'); + const text = (output as IError).traceback.join('\n').replace(ansiRegex, ''); + const oldText = (((this.old.cell as CodeCellProvenance).output[outputIndex] as IError)?.traceback ?? []) + .join('\n') + .replace(ansiRegex, ''); + // add text diff + diffTools.push({ + tab: ( + } value={`output-${outputIndex}-${key}`}> + Output {outputIndex}: {key} + + ), + panel: ( + + + + ) + }); + } else if (['execute_result', 'display_data', 'update_display_data'].includes(type)) { + // iterate over data + const data = output.data; + for (const [key, value] of Object.entries(data ?? {})) { + if (key.includes('image')) { + // add image diff + diffTools.push({ + tab: ( + } value={`output-${outputIndex}-${key}`}> + Output {outputIndex}: {key} + + ), + panel: ( + + + + ) + }); + } else { + // add text diff + diffTools.push({ + tab: ( + } value={`output-${outputIndex}-${key}`}> + Output {outputIndex}: {key} + + ), + panel: ( + + + + ) + }); + } } } - }); + + // data can be: + // * text/plain: print() output + // * text/html: e.g., pandas dataframes + // * image/png: e.g., seaborn/matplotlib + // * image/jpeg + // * image/svg+xml + // * application/vnd.jupyter.stderr: print to stderr (e.g. warnings) + // * application/vnd.jupyter.stdout: print to stdout + + // First images, then html, finally plain text + // ignore everything else for now + console.log('output', type, output); + } } - return () => { - // Dispose the editor when the component unmounts - oldModel.dispose(); - newModel.dispose(); - diffEditor?.dispose(); - }; - }, [newCode, oldCode, language, diffMode]); - - return ( -
-
-
Diff View
- - -
-
-
-
- v{oldCode.stateNo + 1},{' '} - - {oldCode.timestamp.toLocaleTimeString()} {oldCode.timestamp.toLocaleDateString()} - -
-
- v{newCode.stateNo + 1},{' '} - - {newCode.timestamp.toLocaleTimeString()} {newCode.timestamp.toLocaleDateString()} - -
-
-
-
-
- ); -}; + // TODO markdown diff + + // return <>{...diffTools}; + return ( + // Default Value == Tab that is opened on startup + + + {/* Order does matter */} + {...diffTools.map(tool => tool.tab)} + + + {/* Order does not matter */} + {...diffTools.map(tool => tool.panel)} + + ); + } +} + +export interface IDiffProps { + newCell: IDiffDetailProps; + oldCell: IDiffDetailProps; +} diff --git a/src/Detail/Image/DistanceMetrics.ts b/src/Detail/Image/DistanceMetrics.ts new file mode 100644 index 0000000..43b02bd --- /dev/null +++ b/src/Detail/Image/DistanceMetrics.ts @@ -0,0 +1,105 @@ +// import * as cv from '@techstark/opencv-js'; + +// function orbDistance(baseMat: cv.Mat, compareMat: cv.Mat) { +// console.time('orbDistance'); + +// // Create the ORB detector +// const orb = new cv.ORB(500); + +// // Detect and compute the keypoints and descriptors for each image +// const baseKeypoints = orb.detect(baseMat); +// const baseDescriptors = orb.compute(baseMat, baseKeypoints); + +// const compareKeypoints = orb.detect(compareMat); +// const compareDescriptors = orb.compute(compareMat, compareKeypoints); + +// // Match the descriptors between the two images +// const matches = cv.matchBruteForce(baseDescriptors, compareDescriptors); + +// // Compute the Euclidean distance between the matched keypoints +// let sum = 0; +// let count = 0; + +// for (const match of matches) { +// const baseKeypoint = baseKeypoints[match.queryIdx]; +// const compareKeypoint = compareKeypoints[match.trainIdx]; + +// const dx = baseKeypoint.pt.x - compareKeypoint.pt.x; +// const dy = baseKeypoint.pt.y - compareKeypoint.pt.y; + +// const distance = Math.sqrt(dx ** 2 + dy ** 2); + +// sum += distance; +// count++; +// } + +// console.timeEnd('orbDistance'); +// return sum / count; +// } + +// function canvasToMat(data: Uint8ClampedArray, width, height): cv.Mat { +// // Convert the canvas data to a Mat object +// const mat = new cv.Mat(height, width, cv.CV_64FCV_8UC4); +// mat.data.set(data); + +// return mat; +// } + +// // slower than JS implementation +// export function ssimOpenCV(baseMat: cv.Mat, compareMat: cv.Mat) { +// console.time('ssimOpenCV'); +// const k1 = 0.01; +// const k2 = 0.03; + +// const c1 = (k1 * 255) ** 2; +// const c2 = (k2 * 255) ** 2; + +// const baseMean = cv.mean(baseMat); +// const compareMean = cv.mean(compareMat); + +// const baseMatDouble = new cv.Mat(); +// baseMat.convertTo(baseMatDouble, cv.CV_64F); +// const baseMeanStdDev = new cv.Mat(); +// const baseStdDev = new cv.Mat(); +// cv.meanStdDev(baseMatDouble, baseMeanStdDev, baseStdDev); + +// const compareMatDouble = new cv.Mat(); +// compareMat.convertTo(compareMatDouble, cv.CV_64F); +// const compareMeanStdDev = new cv.Mat(); +// const compareStdDev = new cv.Mat(); +// cv.meanStdDev(compareMatDouble, compareMeanStdDev, compareStdDev); + +// const baseStdDevCalc = baseStdDev.doubleAt(0, 0); +// const compareStdDevCalc = compareStdDev.doubleAt(0, 0); + +// const baseSub = new cv.Mat(); +// // const diffMat = cv.subtract(baseMat, compareMat, dst, cv.CV_64F); +// cv.subtract(baseMatDouble, baseMeanStdDev, baseSub); + +// const compareSub = new cv.Mat(); +// cv.subtract(compareMatDouble, compareMeanStdDev, compareSub); + +// const covarianceMat = new cv.Mat(); +// cv.multiply(baseSub, compareSub, covarianceMat); +// const covarianceMean = cv.mean(covarianceMat); + +// const ssim = +// ((2 * baseMean[0] * compareMean[0] + c1) * (2 * covarianceMean[0] + c2)) / +// ((baseMean[0] ** 2 + compareMean[0] ** 2 + c1) * (baseStdDevCalc ** 2 + compareStdDevCalc ** 2 + c2)); + +// console.timeEnd('ssimOpenCV'); +// return ssim; +// } + +// export function meanSquaredError2(baseMat: cv.Mat, compareMat: cv.Mat): number { +// console.time('mseDistance2'); +// const diff = new cv.Mat(); +// cv.absdiff(baseMat, compareMat, diff); +// const squared = new cv.Mat(); +// cv.multiply(diff, diff, squared); +// const mse = cv.mean(squared).reduce((sum, value) => sum + value, 0) / (baseMat.cols * baseMat.rows); +// diff.delete(); +// squared.delete(); +// console.timeEnd('mseDistance2'); +// return mse; +// } diff --git a/src/Detail/Image/OpenCV-ImgDiff.js b/src/Detail/Image/OpenCV-ImgDiff.js new file mode 100644 index 0000000..7bcbaaf --- /dev/null +++ b/src/Detail/Image/OpenCV-ImgDiff.js @@ -0,0 +1,300 @@ +// disable eslint +/* eslint-disable */ + +export async function addDifferenceHighlight(targetImgBase64, compareImgBase64, color, orb = false) { + // console.log('cv', cv); + + const targetImg = new Image(); + targetImg.src = targetImgBase64; + + const compareImg = new Image(); + compareImg.src = compareImgBase64; + + await Promise.all([targetImg.decode(), compareImg.decode()]); + + // console.log('imageToMat'); + // use size of targetImage for both, i.e. the compare image may be cut off it is larger + const baseImgMat = await imageToMat(targetImg, targetImg.width, targetImg.height); + const compareImgMat = await imageToMat(compareImg, targetImg.width, targetImg.height); + + targetImg.remove(); + compareImg.remove(); + + if (!baseImgMat || !compareImgMat) { + return; + } + + let orbScore = undefined; + if (orb === true) { + orbScore = calcORB(baseImgMat, compareImgMat); + orbScore = 1 - orbScore; // convert distance to similarity + } + + const changeArea = 'pixels'; + + // console.log('getDiff'); + const diff = getDiff(baseImgMat, compareImgMat, true); + + const thickness = -1; // -1 = filled, 1 = 1px thick, 2 = 2px thick, ... + const contourDrawOpacity = 255; // draw contour fully opaque because it would set the pixels' opacity and not make the contour itself transparent + const diffOverlayWeight = 0.66; // instead, draw contours on a copy of the image and blend it with the original image to achieve a transparency effect + const colorCV = new cv.Scalar(color.r, color.g, color.b, contourDrawOpacity); + + let pixelSimilartiy = undefined; + // console.log('pixelDiff'); + if (changeArea === 'pixels') { + pixelSimilartiy = pixelDiff(compareImgMat, diff.img, diffOverlayWeight, colorCV); + diff.img.delete(); + } else { + drawContours(compareImgMat, diff.contours, colorCV, thickness, diffOverlayWeight, changeArea); + } + + // console.log('back to bas64'); + // OpenCV.js Mat back to Base64 + const imgData = new ImageData(new Uint8ClampedArray(compareImgMat.data), compareImgMat.cols, compareImgMat.rows); + const canvas = document.createElement('canvas'); + canvas.width = compareImgMat.cols; + canvas.height = compareImgMat.rows; + const ctx = canvas.getContext('2d'); + if (!ctx) { + return; + } + ctx.putImageData(imgData, 0, 0); + const base64Img = canvas.toDataURL(); + + canvas.remove(); + baseImgMat.delete(); + compareImgMat.delete(); + + return { img: base64Img, changes: diff.contours.length, orb: orbScore, pixelSimilartiy }; +} + +function pixelDiff(target, mask, diffOverlayWeight, color) { + const overlay = target.clone(); + + const maskData = mask.data; + let similarPixels = maskData.length; + + for (let i = 0; i < maskData.length; i += 1) { + const rgbaIndex = i * 4; + if ( + maskData[i] !== 0 // mask is not black + // && + // //overlay is white + // overlay.data[rgbaIndex] === 255 && + // overlay.data[rgbaIndex + 1] === 255 && + // overlay.data[rgbaIndex + 2] === 255 + ) { + overlay.data[rgbaIndex] = color[0]; + overlay.data[rgbaIndex + 1] = color[1]; + overlay.data[rgbaIndex + 2] = color[2]; + similarPixels--; // TODO check for similar on-white pixels instead? + } + } + cv.addWeighted(overlay, diffOverlayWeight, target, 1 - diffOverlayWeight, 0, target, -1); + console.log('similarPixels', similarPixels, 'differentPixels', maskData.length - similarPixels); + console.log('pixelSimilartiy', similarPixels / maskData.length); + return similarPixels / maskData.length; +} + +function getDiff(compareImg, baseImg, calcContours) { + const diffImg = new cv.Mat(); + cv.subtract(compareImg, baseImg, diffImg); + const grayImg = new cv.Mat(); + cv.cvtColor(diffImg, grayImg, cv.COLOR_BGR2GRAY); + + const th = 26; // up to 10% (26/255) difference is tolerated + const imask = new cv.Mat(); + cv.threshold(grayImg, imask, th, 255, cv.THRESH_BINARY); + // cv.imshow('mask', imask); + + const kernel = cv.Mat.ones(3, 3, cv.CV_8U); + const dilate = new cv.Mat(); + // get iterations from slider #dilateIterations + let iterations = 2; + + cv.dilate( + imask, + dilate, + kernel, + new cv.Point(-1, -1), + iterations, + cv.BORDER_CONSTANT, + cv.morphologyDefaultBorderValue() + ); + // cv.imshow('dilate', dilate); + + const erode = new cv.Mat(); + iterations = 1; + cv.erode( + dilate, + erode, + kernel, + new cv.Point(-1, -1), + iterations, + cv.BORDER_CONSTANT, + cv.morphologyDefaultBorderValue() + ); + // cv.imshow('erode', erode); + + diffImg.delete(); + grayImg.delete(); + imask.delete(); + kernel.delete(); + dilate.delete(); + + if (!calcContours) { + return { + img: erode, + contours: [] + }; + } + + const contours = new cv.MatVector(); + const hierarchy = new cv.Mat(); + // RETR_EXTERNAL ... returns only extreme outer flags. All child contours are left behind. see https://docs.opencv.org/4.x/d9/d8b/tutorial_py_contours_hierarchy.html + cv.findContours(erode, contours, hierarchy, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE); + + hierarchy.delete(); + + const boundingRects = []; + for (let i = 0; i < contours.size(); i++) { + const contour = contours.get(i); + // Calculate bounding rectangles for all contours + boundingRects.push(cv.boundingRect(contour)); + } + + // Filter out contours that are within others + const filteredContours = new Set(); + + for (let i = 0; i < boundingRects.length; i++) { + const boundingRectA = boundingRects[i]; + let aWasNestedAtLeastOnce = false; + + for (let j = 0; j < boundingRects.length; j++) { + if (i !== j) { + const boundingRectB = boundingRects[j]; + + const aIsInB = + boundingRectB.x <= boundingRectA.x && + boundingRectB.y <= boundingRectA.y && + boundingRectB.x + boundingRectB.width >= boundingRectA.x + boundingRectA.width && + boundingRectB.y + boundingRectB.height >= boundingRectA.y + boundingRectA.height; + + if (aIsInB) { + aWasNestedAtLeastOnce = true; + break; + } + } + } + + if (!aWasNestedAtLeastOnce) { + filteredContours.add(contours.get(i)); + } else { + contours.get(i).delete(); + } + } + + contours.delete(); + return { + img: erode, + contours: Array.from(filteredContours) + }; +} + +function calcORB(baseImg, compareImg) { + // time the ORB calculation + // console.time('ORB'); + + const orb = new cv.ORB(); + const baseKeypoints = new cv.KeyPointVector(); + const compareKeypoints = new cv.KeyPointVector(); + const baseDescriptors = new cv.Mat(); + const compareDescriptors = new cv.Mat(); + const mask = new cv.Mat(); + orb.detectAndCompute(baseImg, mask, baseKeypoints, baseDescriptors); + orb.detectAndCompute(compareImg, mask, compareKeypoints, compareDescriptors); + + const bfMatcher = new cv.BFMatcher(cv.NORM_HAMMING, true); + const matches = new cv.DMatchVector(); + bfMatcher.match(baseDescriptors, compareDescriptors, matches); + let matchScore = 0; + for (let i = 0; i < matches.size(); i++) { + matchScore += matches.get(i).distance; + } + matchScore /= matches.size(); + const descriptorBits = 32 * 8; // see https://docs.opencv.org/4.8.0/db/d95/classcv_1_1ORB.html#ac166094ca013f59bfe3df3b86fa40bfe + matchScore /= descriptorBits; // normalize + + orb.delete(); + baseKeypoints.delete(); + compareKeypoints.delete(); + baseDescriptors.delete(); + compareDescriptors.delete(); + mask.delete(); + + bfMatcher.delete(); + matches.delete(); + + // console.log('ORB score', matchScore); + // console.timeEnd('ORB'); + return matchScore; +} + +function drawContours(target, contours, color, thickness, diffOverlayWeight, type) { + // draw added contours on compareImage + const overlay = target.clone(); + for (const contour of contours) { + // draw contours as rectangle or convex hull. see https://docs.opencv.org/3.4/dd/d49/tutorial_py_contour_features.html + if (type === 'rectangle') { + const rect = cv.boundingRect(contour); + const pt1 = new cv.Point(rect.x, rect.y); + const pt2 = new cv.Point(rect.x + rect.width, rect.y + rect.height); + + cv.rectangle(overlay, pt1, pt2, color, thickness); // scaler = color in RGB-Opacity format + } else if (type === 'hull') { + const hull = new cv.Mat(); + cv.convexHull(contour, hull, false, true); + + // Draw the convex hull + const lineType = cv.LINE_8; + const hulls = new cv.MatVector(); + hulls.push_back(hull); + + // this could be done for all contours at once, by putting them into a MatVector + cv.drawContours(overlay, hulls, 0, color, thickness, lineType); + hulls.delete(); + } else { + throw new Error(`Unknown contour type ${type}`); + } + + contour.delete(); + } + + cv.addWeighted(overlay, diffOverlayWeight, target, 1 - diffOverlayWeight, 0, target, -1); + overlay.delete(); +} + +async function imageToMat(img, width, height) { + const canvas = document.createElement('canvas'); + canvas.width = width; + canvas.height = height; + + const ctx = canvas.getContext('2d'); + if (!ctx) { + console.error('Could not get context from canvas'); + return undefined; + } + + // fill with white first in case it is smaller + ctx.fillStyle = 'white'; + ctx.fillRect(0, 0, canvas.width, canvas.height); + + ctx.drawImage(img, 0, 0); + + const baseImgData = ctx.getImageData(0, 0, canvas.width, canvas.height); + const baseImg = cv.matFromImageData(baseImgData); + + canvas.remove(); + return baseImg; +} diff --git a/src/Detail/ImgDetailDiff.tsx b/src/Detail/ImgDetailDiff.tsx new file mode 100644 index 0000000..458e203 --- /dev/null +++ b/src/Detail/ImgDetailDiff.tsx @@ -0,0 +1,454 @@ +import React, { useEffect, useRef, useState } from 'react'; +import { CodeCellProvenance } from '../Provenance/JupyterListener'; +import { IDiffProps, useStyles, IDiffDetailProps } from './DiffDetail'; +import { addDifferenceHighlight } from './Image/OpenCV-ImgDiff'; + +export const ImgDetailDiff = ({ newCell, oldCell }: IDiffProps) => { + const { classes, cx } = useStyles(); + const leftHeader = useRef(null); + + const [diffMode, setDiffMode] = useState('side-by-side'); + const handleDiffModeChange = event => { + setDiffMode(event.target.value); + }; + + const [showChanges, setHighlightChanges] = React.useState(false); + const handleHighlightChangesChange = () => { + setHighlightChanges(!showChanges); + }; + + const [oldBase64, setOldBase64] = useState(prepareBase64(oldCell)); + const [newBase64, setNewBase64] = useState(prepareBase64(newCell)); + + const [additions, setAdditions] = useState(undefined); + const [deletions, setDeletions] = useState(undefined); + const [orb, setORB] = useState(undefined); + const [pixelSimilartiy, setPixelSimilartiy] = useState(undefined); + + const [transparency, setTransparency] = useState(0.5); + + const handleTransparencyChange = event => { + setTransparency(parseFloat(event.target.value)); + }; + + useEffect(() => { + const addDiffs = async () => { + console.log('useEffect calls addDiffs', showChanges); + if (showChanges) { + const addedBase64 = await addDifferenceHighlight( + prepareBase64(oldCell), + prepareBase64(newCell), + { + r: 102, + g: 194, + b: 165 + }, + true + ); + if (addedBase64) { + setNewBase64(addedBase64.img); + } + setAdditions(addedBase64?.changes); + setORB(addedBase64?.orb); + setPixelSimilartiy(addedBase64?.pixelSimilartiy); + + const removedBase64 = await addDifferenceHighlight(prepareBase64(newCell), prepareBase64(oldCell), { + r: 240, + g: 82, + b: 104 + }); + if (removedBase64) { + setOldBase64(removedBase64.img); + } + setDeletions(removedBase64?.changes); + } else { + setOldBase64(prepareBase64(oldCell)); + setNewBase64(prepareBase64(newCell)); + } + }; + + addDiffs(); + }, [showChanges]); + + function getSidebySideDiff(): React.ReactNode { + return ( +
+
+ +
+
+ +
+
+ ); + } + + function getUnifiedDiff(): React.ReactNode { + // layer image of oldBase64 and newBase64 on top of each other and add a slider to adapt their opacity and fade from one to the other + return ( +
+ +
+ + +
+
+ ); + } + + return ( +
+
+
Diff View
+ + + + { + //if addtions and deletions are defined, show them + // else show nothing + additions !== undefined && deletions !== undefined ? ( + <> + Changes: +
    +
  • Added: {additions}
  • +
  • Removed: {deletions}
  • +
+ + ) : ( + <> + ) + } + {orb !== undefined && pixelSimilartiy !== undefined ? ( + <> + Similarity Measures: +
    +
  • Pixel Similartiy: {pixelSimilartiy.toLocaleString(undefined, { style: 'percent' })}
  • +
  • ORB Similarty: {orb.toLocaleString(undefined, { style: 'percent' })}
  • + {/*
  • Structural Similarity:
  • +
  • Hausdorff Distance:
  • +
  • Mean Squared Error:
  • +
  • NMI:
  • + */} +
+ + ) : ( + <> + )} +
+
+
+
+ v{oldCell.stateNo + 1},{' '} + + {oldCell.timestamp.toLocaleTimeString()} {oldCell.timestamp.toLocaleDateString()} + +
+
+ v{newCell.stateNo + 1},{' '} + + {newCell.timestamp.toLocaleTimeString()} {newCell.timestamp.toLocaleDateString()} + +
+
+ {diffMode === 'side-by-side' ? getSidebySideDiff() : getUnifiedDiff()} +
+
+ ); +}; + +// /** +// * +// * @param color ranging from 0-255 +// */ +// function sRGB2Lin(color: number) { +// const normalized = color / 255; +// if (normalized <= 0.04045) { +// return normalized / 12.92; +// } else { +// return Math.pow((normalized + 0.055) / 1.055, 2.4); +// } +// } +// function lin2sRGB(linGrey: number) { +// if (linGrey <= 0.0031308) { +// return linGrey * 12.92 * 255; +// } else { +// return (1.055 * Math.pow(linGrey, 1 / 2.4) - 0.055) * 255; +// } +// } + +function prepareBase64(cellDiff: IDiffDetailProps) { + let base64 = (cellDiff.cell as CodeCellProvenance).output.find(out => out.data?.['image/png'] !== undefined)?.data?.[ + 'image/png' + ]; + + if (base64 !== undefined) { + // append base64 header + base64 = `data:image/png;base64,${base64}`; + } else { + // create empty base64 image + base64 = 'data:null'; + } + return base64; +} +// const addDifference = async (oldBase64, newBase64, highlight) => { +// // if removed old is basis and what was removed is highlighted on it in red +// // if added, new is the bassis and what was added is highlighted in green +// // i.e., as for code +// const [base, compare] = highlight === 'removed' ? [oldBase64, newBase64] : [newBase64, oldBase64]; + +// const baseImg = new Image(); +// baseImg.src = base; +// await baseImg.decode(); + +// const compareImg = new Image(); +// compareImg.src = compare; +// await compareImg.decode(); + +// const diffCanvas = document.createElement('canvas'); +// // canvas size based on base image, as this is the what is displayed (+ highlights from the compareImg) +// diffCanvas.width = baseImg.width; +// diffCanvas.height = baseImg.height; + +// const ctx = diffCanvas.getContext('2d'); +// if (ctx) { +// //fill canvas with white +// ctx.fillStyle = 'white'; +// ctx.fillRect(0, 0, diffCanvas.width, diffCanvas.height); + +// ctx.drawImage(compareImg, 0, 0); +// const comapreImgData = ctx.getImageData(0, 0, diffCanvas.width, diffCanvas.height); +// grayscale(comapreImgData.data); +// // ctx.putImageData(comapreImgData, 0, 0); +// const compareImgPixelData = Array.from(comapreImgData.data); +// // const compareMat = cv.matFromImageData(comapreImgData); +// ctx.clearRect(0, 0, diffCanvas.width, diffCanvas.height); + +// // draw baseImg on top of compareImg because we will get the base64 from canvas +// ctx.drawImage(baseImg, 0, 0); +// const baseImgData = ctx.getImageData(0, 0, diffCanvas.width, diffCanvas.height); +// grayscale(baseImgData.data); +// ctx.putImageData(baseImgData, 0, 0); +// // const baseMat = cv.matFromImageData(baseImgData); + +// const similartiy = ssim(baseImgData.data, compareImgPixelData, baseImg.width, baseImg.height); +// console.log('ssim is ', similartiy); +// // try { +// // const orb = orbDistance(baseMat, compareMat); +// // console.log('orb is ', orb); +// // } catch (e) { +// // console.log('error calculating orb', e); +// // } +// try { +// const mse = meanSquaredError(baseImgData.data, compareImgPixelData); +// console.log('mse is ', mse); +// // const mse2 = meanSquaredError2(baseMat, compareMat); +// // console.log('mse is ', mse2); +// } catch (e) { +// console.log('error calculating ormse', e); +// } +// try { +// const nimSim = nmi(baseImgData.data, compareImgPixelData, 100); +// console.log('nmiCV is ', nimSim); +// } catch (e) { +// console.log('error calculating nimSim', e); +// } + +// // highlight added or removed content +// if (highlight === 'added') { +// console.log('highlight added'); +// highlightDifference(ctx, baseImgData.data, compareImgPixelData, 1); +// } else if (highlight === 'removed') { +// console.log('highlight removed'); +// highlightDifference(ctx, baseImgData.data, compareImgPixelData, 0); +// } + +// ctx.putImageData(baseImgData, 0, 0); +// return diffCanvas.toDataURL(); +// } +// }; +// const grayscale = pixels => { +// for (let i = 0; i < pixels.length; i += 4) { +// const r = pixels[i]; +// const g = pixels[i + 1]; +// const b = pixels[i + 2]; +// // pixels[i + 3] is alpha channel +// // preceived brightness formulas need linear RGB values, so calling sRGB2Lin +// // see https://stackoverflow.com/questions/596216/formula-to-determine-perceived-brightness-of-rgb-color +// // and https://gist.github.com/mnpenner/70ab4f0836bbee548c71947021f93607 +// const linGrey = 0.2126 * sRGB2Lin(r) + 0.7152 * sRGB2Lin(g) + 0.0772 * sRGB2Lin(b); +// const sRGBgrey = lin2sRGB(linGrey); +// pixels[i] = pixels[i + 1] = pixels[i + 2] = sRGBgrey; +// } +// }; + +// const highlightDifference = (ctx, baseImgData, compareImgData, channel) => { +// // iterate over base img (will be annotated, thus is the reference) +// for (let i = 0; i < baseImgData.length; i += 4) { +// // find pixels that are missing in the compared image +// if (baseImgData[i] !== 255 && compareImgData[i] === 255) { +// baseImgData[i] = baseImgData[i + 1] = baseImgData[i + 2] = 0; +// baseImgData[i + channel] = 255; +// } +// } +// }; + +/** + * Compute the mean structural similarity index between two images. + */ +function ssim( + baseImgData: Uint8ClampedArray | number[], + compareImgData: Uint8ClampedArray | number[], + baseImgWidth: number, + baseImgHeight: number +): number { + console.time('ssim'); + const K1 = 0.01; + const K2 = 0.03; + const L = 255; + const C1 = (K1 * L) ** 2; + const C2 = (K2 * L) ** 2; + const C3 = C2 / 2; + + let sum = 0; + let count = 0; + + for (let i = 0; i < baseImgData.length; i += 4) { + const r1 = baseImgData[i]; + const g1 = baseImgData[i + 1]; + const b1 = baseImgData[i + 2]; + + const r2 = compareImgData[i]; + const g2 = compareImgData[i + 1]; + const b2 = compareImgData[i + 2]; + + const mu1 = (r1 + g1 + b1) / 3; + const mu2 = (r2 + g2 + b2) / 3; + const mu1mu2 = mu1 * mu2; + const mu1sq = mu1 ** 2; + const mu2sq = mu2 ** 2; + + const sigma1sq = (r1 - mu1) ** 2 + (g1 - mu1) ** 2 + (b1 - mu1) ** 2; + const sigma2sq = (r2 - mu2) ** 2 + (g2 - mu2) ** 2 + (b2 - mu2) ** 2; + const sigma12 = (r1 - mu1) * (r2 - mu2) + (g1 - mu1) * (g2 - mu2) + (b1 - mu1) * (b2 - mu2); + + const ssim = ((2 * mu1mu2 + C1) * (2 * sigma12 + C2)) / ((mu1sq + mu2sq + C1) * (sigma1sq + sigma2sq + C2)); + + sum += ssim; + count++; + } + + console.timeEnd('ssim'); + return sum / count; +} + +function histogram(imageData: Uint8ClampedArray | number[], numBins: number): number[] { + const hist = new Array(numBins).fill(0); + for (let i = 0; i < imageData.length; i += 4) { + const r = imageData[i]; + const g = imageData[i + 1]; + const b = imageData[i + 2]; + const intensity = Math.round((r + g + b) / 3); + const binIndex = Math.floor((intensity * numBins) / 256); + hist[binIndex]++; + } + return hist; +} + +function entropy(hist: number[], total: number): number { + let entropy = 0; + for (let i = 0; i < hist.length; i++) { + const p = hist[i] / total; + if (p > 0) { + entropy -= p * Math.log2(p); + } + } + return entropy; +} + +function mutualInformation(baseHist: number[], compareHist: number[], total: number): number { + let mutualInfo = 0; + for (let i = 0; i < baseHist.length; i++) { + for (let j = 0; j < compareHist.length; j++) { + const p = (baseHist[i] * compareHist[j]) / total; + if (p > 0) { + const jointProb = p; + mutualInfo += p * Math.log2(jointProb / (baseHist[i] * compareHist[j])); + } + } + } + return mutualInfo; +} + +function nmi( + baseImageData: Uint8ClampedArray | number[], + compareImageData: Uint8ClampedArray | number[], + numBins: number +): number { + const baseHist = histogram(baseImageData, numBins); + const compareHist = histogram(compareImageData, numBins); + + const baseEntropy = entropy(baseHist, baseImageData.length); + const compareEntropy = entropy(compareHist, baseImageData.length); + const mutualInfoValue = mutualInformation(baseHist, compareHist, baseImageData.length); + const nmiValue = mutualInfoValue / Math.sqrt(baseEntropy * compareEntropy); + + return nmiValue; +} + +function meanSquaredError( + baseImageData: Uint8ClampedArray | number[], + compareImageData: Uint8ClampedArray | number[] +): number { + let sumSquaredError = 0; + for (let i = 0; i < baseImageData.length; i += 4) { + const baseR = baseImageData[i]; + const baseG = baseImageData[i + 1]; + const baseB = baseImageData[i + 2]; + const compareR = compareImageData[i]; + const compareG = compareImageData[i + 1]; + const compareB = compareImageData[i + 2]; + const squaredError = Math.pow(baseR - compareR, 2) + Math.pow(baseG - compareG, 2) + Math.pow(baseB - compareB, 2); + sumSquaredError += squaredError; + } + const mse = sumSquaredError / baseImageData.length; + return mse; +} diff --git a/src/Detail/TextDiff.tsx b/src/Detail/TextDiff.tsx new file mode 100644 index 0000000..8279a3d --- /dev/null +++ b/src/Detail/TextDiff.tsx @@ -0,0 +1,154 @@ +import * as monaco from 'monaco-editor'; +import React, { useEffect, useRef, useState } from 'react'; +import { Tabs, createStyles } from '@mantine/core'; + +export const useStyles = createStyles((theme, _params, getRef) => ({ + diffDetail: { + label: 'diffDetail', + width: '100%', + height: '100%', + + display: 'grid', + //Frist column should be abozut 1/6 of the width, but at least 200px + gridTemplateColumns: 'minmax(200px, 1fr) 5fr', + gridTemplateRows: '1fr' + }, + textDiffOptions: { + label: 'textDiffOptions', + display: 'flex', + flexDirection: 'column', + borderRight: 'var(--jp-border-width) solid var(--jp-toolbar-border-color)', + padding: '0.5rem', + ' input': { + marginRight: '0.5em' + }, + ' header': { + fontWeight: 600 + } + }, + textDiffWrapper: { + label: 'textDiffWrapper', + width: '100%', + height: '100%', + + display: 'grid', + gridTemplateColumns: '1fr', + gridTemplateRows: 'auto 1fr' + }, + textDiffHeader: { + label: 'textDiffHeader', + display: 'flex', + textAlign: 'center', + fontWeight: 600, + // background: 'var(--jp-layout-color2)', + borderBottom: 'calc(2 * var(--jp-border-width)) solid var(--jp-toolbar-border-color)' + } +})); + +interface ITextDiffProps { + newState: { + text: string; + timestamp: Date; + stateNo: number; + }; + oldState: { + text: string; + timestamp: Date; + stateNo: number; + }; + language: string; +} +export const TextDiff = ({ newState, oldState, language }: ITextDiffProps) => { + const { classes, cx } = useStyles(); + const editorRef = useRef(null); + const leftHeader = useRef(null); + const [diffMode, setDiffMode] = useState('side-by-side'); + + const handleOptionChange = event => { + setDiffMode(event.target.value); + }; + + useEffect(() => { + // Create the editor instance + const oldModel = monaco.editor.createModel(oldState.text, language); + const newModel = monaco.editor.createModel(newState.text, language); + + let diffEditor: monaco.editor.IStandaloneDiffEditor; + if (editorRef.current) { + diffEditor = monaco.editor.createDiffEditor(editorRef.current, { + // default editor props: https://microsoft.github.io/monaco-editor/typedoc/enums/editor.EditorOption.html + // Diff editor props: https://microsoft.github.io/monaco-editor/typedoc/interfaces/editor.IDiffEditorBaseOptions.html + readOnly: true, + originalEditable: false, + automaticLayout: true, + enableSplitViewResizing: true, + ignoreTrimWhitespace: true, + diffAlgorithm: 'advanced', + renderIndicators: true, + renderLineHighlightOnlyWhenFocus: true, + + // Render the diff inline + renderSideBySide: diffMode === 'side-by-side' + }); + diffEditor.setModel({ + original: oldModel, + modified: newModel + }); + + diffEditor.getOriginalEditor().onDidLayoutChange(layout => { + if (leftHeader.current) { + if (diffMode === 'side-by-side') { + leftHeader.current.style.width = layout.width + 'px'; + } else { + leftHeader.current.style.width = 'calc(50% - 14px)'; + } + } + }); + } + + return () => { + // Dispose the editor when the component unmounts + oldModel.dispose(); + newModel.dispose(); + diffEditor?.dispose(); + }; + }, [newState, oldState, language, diffMode]); + + return ( +
+
+
Diff View
+ + +
+
+
+
+ v{oldState.stateNo + 1},{' '} + + {oldState.timestamp.toLocaleTimeString()} {oldState.timestamp.toLocaleDateString()} + +
+
+ v{newState.stateNo + 1},{' '} + + {newState.timestamp.toLocaleTimeString()} {newState.timestamp.toLocaleDateString()} + +
+
+
+
+
+ ); +}; diff --git a/src/Overview/CompareBadge.tsx b/src/Overview/CompareBadge.tsx index ce9b077..635873f 100644 --- a/src/Overview/CompareBadge.tsx +++ b/src/Overview/CompareBadge.tsx @@ -1,18 +1,10 @@ import '@armantang/html-diff/dist/index.css'; +import { ICell } from '@jupyterlab/nbformat'; import { createStyles } from '@mantine/core'; import React, { useContext } from 'react'; -import { - IconCodeCircle, - IconCodeCircle2, - IconEye, - IconEyeFilled, - IconGitCompare, - IconVersionsFilled, - IconZoomCode -} from '@tabler/icons-react'; -import { JupyterAppContext } from './LoopsSidebar'; import { DiffDetail } from '../Detail/DiffDetail'; -import { ICell } from '@jupyterlab/nbformat'; +import { JupyterAppContext } from './LoopsSidebar'; +import { CellProvenance } from '../Provenance/JupyterListener'; const useStyles = createStyles((theme, _params, getRef) => ({ CompareBadge: { @@ -38,10 +30,10 @@ const useStyles = createStyles((theme, _params, getRef) => ({ })); interface ICompareBadgeProps { - old: ICell; + old: CellProvenance; oldStateNo: number; oldTimestamp: Date; - current: ICell; + current: CellProvenance; currentStateNo: number; currentTimestamp: Date; } diff --git a/src/Overview/LoopsSidebar.tsx b/src/Overview/LoopsSidebar.tsx index 171c011..7e6ef2a 100644 --- a/src/Overview/LoopsSidebar.tsx +++ b/src/Overview/LoopsSidebar.tsx @@ -3,7 +3,7 @@ import { ReactWidget } from '@jupyterlab/apputils'; import { INotebookTracker } from '@jupyterlab/notebook'; import { Message } from '@lumino/messaging'; import { MantineProvider, createEmotionCache } from '@mantine/core'; -import React, { createContext } from 'react'; +import React, { createContext, useEffect } from 'react'; import { OverviewHeader } from './OverviewHeader'; import { StateList } from './StateList'; @@ -68,6 +68,24 @@ interface ILoopsOverviewProbs { function LoopsOverview({ nbTracker, labShell }: ILoopsOverviewProbs): JSX.Element { const { classes } = useStyles(); + + // add openCV script to the page + // do it in the sidebar, because that will stay around + // loading openCV, especially the WASM version, takes a while and we don't want to do that every time we open a detail view + useEffect(() => { + console.info('➕ Add OpenCV script to the page'); + const script = document.createElement('script'); + script.src = 'https://docs.opencv.org/4.8.0/opencv.js'; + script.async = true; + document.body.appendChild(script); + script.addEventListener('load', printOpenCV); + + return () => { + console.info('➖ Remove OpenCV script from the page'); + document.body.removeChild(script); + }; + }, []); + return (
@@ -75,3 +93,27 @@ function LoopsOverview({ nbTracker, labShell }: ILoopsOverviewProbs): JSX.Elemen
); } + +// ts ignore this function because we don't have the type for the WASM version +// eslint-disable-next-line @typescript-eslint/ban-ts-comment +// @ts-ignore +function printOpenCV() { + // https://stackoverflow.com/a/63211547/2549748 + console.info('OpenCV script loaded'); + const opencv = (window as any).cv; + if (opencv.getBuildInformation) { + // ASM + console.debug('Using Openopencv ASM build'); + (opencv as any).onRuntimeInitialized = () => { + console.log('OpenCV ASM Runtime initialized'); + // console.log(opencv.getBuildInformation()); + }; + } else { + // WASM takes a while to load so getBuildInformation is not available immediately --> thus opencv.getBuildInformation is undefined + console.debug('Using Openopencv WASM build'); + (opencv as any).onRuntimeInitialized = () => { + console.log('OpenCV WASM Runtime initialized'); + // console.log(opencv.getBuildInformation()); + }; + } +} diff --git a/src/Overview/State.tsx b/src/Overview/State.tsx index 499a5af..c5a00b4 100644 --- a/src/Overview/State.tsx +++ b/src/Overview/State.tsx @@ -122,9 +122,12 @@ const useStyles = createStyles((theme, _params, getRef) => ({ borderBottomLeftRadius: '0.5rem', borderBottomRightRadius: '0.5rem' }, - unchanged: { - '&.transparent *': { - color: 'transparent' + '.jp-Cell:not(.active)': { + // only for non-active cells, hide the content if it hasnt changed + '.unchanged': { + '&.transparent *': { + color: 'transparent' + } } }, output: { @@ -253,6 +256,7 @@ export function State({ const stateScrollerRef = useRef(null); const scrollToElement = () => { // provCellTop = distance of the provenance's corresponding cell to the top of the extension + console.log(`state ${stateNo} scroll to active cell ID with top position`, activeCellId, activeCellTop); const provCellTop = stateScrollerRef.current?.querySelector( `[data-cell-id="${activeCellId}"]` )?.offsetTop; @@ -270,6 +274,7 @@ export function State({ useEffect( () => { + console.log(`state ${stateNo} scroll to element by effect`); scrollToElement(); } //, [activeCellTop] // commented out: dpeend on activeCellTop --> run if the value changes //currently: no dependency --> run on every render @@ -386,10 +391,10 @@ export function State({ // Add CompareBadge if old, oldStateNo, and oldTimestamp are defined previousCell && previousStateNo && previousStateTimestamp && ( @@ -525,7 +530,7 @@ export function State({ // no change, but full width and active --> show input as it is input = (
{ (e.target as HTMLDivElement) .closest('.jp-Cell') @@ -545,7 +550,7 @@ export function State({ // no change, not active, or not full width --> don't show input at all // just indicate the code cell input = ( -
+
@@ -590,7 +595,7 @@ export function State({ // no change, but full width and active --> show output as it is return (
{ (e.target as HTMLDivElement) @@ -610,7 +615,7 @@ export function State({ // no change, not active, or not full width --> don't show output at all // just indicate the output return ( -
+
); @@ -625,7 +630,7 @@ export function State({ // if the state is not full width, don't show the output at all // just indicate the output return ( -
+
); diff --git a/src/Overview/StateList.tsx b/src/Overview/StateList.tsx index 5c9f8cc..4dd58a3 100644 --- a/src/Overview/StateList.tsx +++ b/src/Overview/StateList.tsx @@ -2,10 +2,11 @@ import { ILabShell } from '@jupyterlab/application'; import { INotebookTracker, NotebookPanel } from '@jupyterlab/notebook'; import { createStyles } from '@mantine/core'; import { Nodes, StateNode, isStateNode } from '@trrack/core'; -import React, { useEffect, useState } from 'react'; +import React, { useCallback, useEffect, useRef, useState } from 'react'; import { notebookModelCache } from '..'; import { State } from './State'; import { NotebookProvenance } from '../Provenance/JupyterListener'; +import { useLoopsStore } from '../LoopsStore'; const useStyles = createStyles((theme, _params, getRef) => ({ stateList: { @@ -38,6 +39,7 @@ export function StateList({ nbTracker, labShell }: IStateListProps): JSX.Element console.log('notebook', notebok); return notebok; }); + const setActiveCell = useLoopsStore(state => state.setActiveCell); const trrack = notebook ? notebookModelCache.get(notebook)?.trrack : undefined; @@ -46,6 +48,8 @@ export function StateList({ nbTracker, labShell }: IStateListProps): JSX.Element useEffect(() => { const handleNotebookChange = (sender: INotebookTracker, notebookEditor: NotebookPanel | null): void => { setNotebook(notebookEditor?.content); + const activeCell = notebookEditor?.content?.activeCell; + setActiveCell(activeCell?.model.id, activeCell?.node.getBoundingClientRect().top); }; nbTracker.currentChanged.connect(handleNotebookChange); @@ -54,6 +58,21 @@ export function StateList({ nbTracker, labShell }: IStateListProps): JSX.Element }; }, [nbTracker]); + // const stateListRef = useRef(null); + // // Scroll the container to the very right after component creation + // useEffect(() => { + // if (stateListRef.current) { + // stateListRef.current.scrollLeft = stateListRef.current.scrollWidth; + // } + // }, [notebook, stateListRef.current]); + + const stateListRef = useCallback(node => { + if (node !== null) { + console.log('scroll to state by callback'); + node.scrollLeft = node.scrollWidth; + } + }, []); + // update the notebook when the focussed file changes // handle changes to other files so that the UI is updated if you switch to a different (e.g., csv) file - and then back to a notebook // the INotebookTracker above still has the last used Notebook as "currentWidget", so we need this listener to update the sidebar when no notebok is focused @@ -65,8 +84,11 @@ export function StateList({ nbTracker, labShell }: IStateListProps): JSX.Element // therefore check if the new widget has the same id as the nbTracker current widget if (labShellArgs.newValue?.id === nbTracker.currentWidget?.id) { setNotebook(nbTracker.currentWidget?.content); + const activeCell = nbTracker.currentWidget?.content.activeCell; + setActiveCell(activeCell?.model.id, activeCell?.node.getBoundingClientRect().top); } else { setNotebook(undefined); + setActiveCell(undefined, undefined); } }; @@ -161,7 +183,11 @@ export function StateList({ nbTracker, labShell }: IStateListProps): JSX.Element ); }); - return
{states}
; + return ( +
+ {states} +
+ ); } function displayMissingNotebookHint(style: string): JSX.Element { diff --git a/src/Provenance/FileManager.ts b/src/Provenance/FileManager.ts index 9c008b9..c7f0e82 100644 --- a/src/Provenance/FileManager.ts +++ b/src/Provenance/FileManager.ts @@ -14,7 +14,7 @@ export class FileManager { } public set activeNotebookPath(path: string) { - console.log('Setting active notebook path to', path); + // console.log('Setting active notebook path to', path); this._activeNotebookPath = path; } @@ -59,24 +59,20 @@ export class FileManager { public loadFromFile(): Promise { return new Promise(accept => { const notebookPath = this._activeNotebookPath; - console.log('try to load from', notebookPath); if (notebookPath) { //log("notebook path is", notebookPath) let name = PathExt.basename(notebookPath); name = name.substring(0, name.lastIndexOf('.')) + '.trrack.json'; - console.log('try to load', name, notebookPath); //log("name is", name) const path = '/' + notebookPath.substring(0, notebookPath.lastIndexOf('/') + 1) + name; this.contentsManager .get(path) .then(res => { - console.log('Found a model ', res); + // console.log('Found a model ', res); accept(res.content); }) .catch(() => { - console.log('No model found'); - //here when you reject the promise if the filesave fails - //console.error(rej); + console.error('No model found'); accept(null); }); } else { diff --git a/src/Provenance/JupyterListener.ts b/src/Provenance/JupyterListener.ts index 0b38633..b2ef59e 100644 --- a/src/Provenance/JupyterListener.ts +++ b/src/Provenance/JupyterListener.ts @@ -10,7 +10,7 @@ export class JupyterListener { private serializer = new XMLSerializer(); constructor(private nbtrrack: NotebookTrrack, private notebook: Notebook) { const trackCellChanges = this.trackCellChanges(); - console.log('JupyterListener trackCellChanges', trackCellChanges); + // console.log('JupyterListener trackCellChanges', trackCellChanges); // listener for changes of the active cell this.notebook.activeCellChanged.connect((notebook, args) => { @@ -27,7 +27,7 @@ export class JupyterListener { }); const trackExecutions = this.trackExecutions(); - console.log('JupyterListener trackExecutions', trackExecutions); + // console.log('JupyterListener trackExecutions', trackExecutions); // fires likes 6 times when a cell is executed 😵‍💫 // this.notebook.modelContentChanged.connect((notebookModel, args) => { @@ -37,6 +37,11 @@ export class JupyterListener { this.notebook.modelChanged.connect((oldModel, newModel) => { console.log('⚠️⚠️⚠️ JupyterListener modelChanged', oldModel, newModel); }); + + if (notebook.activeCell) { + const cellID = notebook.activeCell.model.id; // ID of the cell model - needed to identify the cell + useLoopsStore.getState().setActiveCell(cellID, notebook.activeCell.node.getBoundingClientRect().top); + } } trackCellChanges(): boolean { @@ -177,8 +182,6 @@ export class JupyterListener { // console.log('cell type', cell3?.type, 'val', cell3?.sharedModel.getSource()); // console.log('cell', cell3); - // TODO use signals to open up the details panel - cellProv = { ...cellProv, output: outputArea.model.toJSON() } as CodeCellProvenance; } else if (child instanceof MarkdownCell) { //MarkdownCell extends attachmentcell which extends cell @@ -226,8 +229,12 @@ export type CellProvenance = { active: boolean; }; -export type CodeCellProvenance = CellProvenance & { cellType: 'code'; output: IOutput[] }; -export type MarkdownCellProvenance = CellProvenance & { cellType: 'markdown'; attachments: IAttachments }; +export type CodeCellProvenance = CellProvenance & { type: 'code'; output: IOutput[] }; +export type MarkdownCellProvenance = CellProvenance & { type: 'markdown'; attachments: IAttachments }; + +export function isCodeCellProvenance(cell: CellProvenance): cell is CodeCellProvenance { + return cell.type === 'code'; +} export type NotebookProvenance = { cells: CellProvenance[]; diff --git a/src/index.ts b/src/index.ts index 9d6517d..fae2b58 100644 --- a/src/index.ts +++ b/src/index.ts @@ -57,7 +57,7 @@ function activate( notebookModelCache.set(notebook, provenance); const unsubscribe = provenance.trrack.currentChange(trigger => { - console.log('🔥 currentChange', trigger); + // console.log('🔥 currentChange', trigger); loops.update(); }); @@ -82,7 +82,7 @@ function activate( // disable all observer in the cache and enable the observer for the current notebook notebookModelCache.forEach((observer, cacheNotebook) => { - console.log('enable?????', notebook.id === cacheNotebook.id); + // console.log('enable?????', notebook.id === cacheNotebook.id); observer.enabled = notebook.id === cacheNotebook.id; }); diff --git a/tsconfig.json b/tsconfig.json index 6fb33ad..db33446 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -1,6 +1,7 @@ { "compilerOptions": { "allowSyntheticDefaultImports": true, + "allowJs": true, // so that opencv is copied to /lib during tsc build "composite": true, "declaration": true, "esModuleInterop": true, diff --git a/webpack.config.js b/webpack.config.js new file mode 100644 index 0000000..83d0494 --- /dev/null +++ b/webpack.config.js @@ -0,0 +1,10 @@ +module.exports = { + module: {}, + resolve: { + fallback: { + fs: false, + // "path": false, // set in https://github.com/jupyterlab/jupyterlab/blob/v4.0.0/builder/src/webpack.config.base.ts#L66 + crypto: false + } + } +};