Obsidian Adjacency Matrix Maker
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| <%* | |
| const files = await app.vault.getMarkdownFiles(); | |
| const fileDataArr = await files.map(file => { | |
| if (app.metadataCache.getFileCache(file).links) { | |
| const noHeaderLinks = app.metadataCache.getFileCache(file).links | |
| .map(item => item.link.replace(/#.+/g, '')); | |
| return [file.basename, noHeaderLinks]; | |
| } else { | |
| return [file.basename, []]; | |
| } | |
| }); | |
| const size = fileDataArr.length; | |
| const canvas = document.createElement("canvas"); | |
| const ctx = canvas.getContext("2d"); | |
| // imgData to Binary helper function | |
| // Source: https://gist.github.com/borismus/1032746 | |
| const BASE64_MARKER = ';base64,'; | |
| function convertDataURIToBinary(dataURI) { | |
| let base64Index = dataURI.indexOf(BASE64_MARKER) + BASE64_MARKER.length; | |
| let base64 = dataURI.substring(base64Index); | |
| let raw = window.atob(base64); | |
| let rawLength = raw.length; | |
| let array = new Uint8Array(new ArrayBuffer(rawLength)); | |
| for (i = 0; i < rawLength; i++) { | |
| array[i] = raw.charCodeAt(i); | |
| } | |
| return array; | |
| } | |
| function sumRows(array) { | |
| let result = []; | |
| array.forEach((row, i) => { | |
| row.reduce((a, b) => result[i] = a + b) | |
| }) | |
| return result; | |
| } | |
| function normalise(array) { | |
| const max = Math.max(...array); | |
| return array.map(x => x / max); | |
| } | |
| function createAdjMatrix(linksArray) { | |
| const adj = []; | |
| for (let i = 0; i < linksArray.length; i++) { | |
| adj.push([]); | |
| for (let j = 0; j < linksArray.length; j++) { | |
| // If note i links to note j, adj[i][j] = 1 | |
| adj[i][j] = linksArray[i][1].includes(linksArray[j][0]) ? 1 : 0; | |
| } | |
| } | |
| return adj | |
| } | |
| function addImage(scale = 1) { | |
| // Canvas setup | |
| canvas.width = size * scale; | |
| canvas.height = size * scale; | |
| const adj = createAdjMatrix(fileDataArr); | |
| const normalisedRowSums = normalise(sumRows(adj)); | |
| for (let i = 0; i < size; i++) { | |
| const alpha = (normalisedRowSums[i] / 1.5) + 0.33333333; | |
| for (let j = 0; j < size; j++) { | |
| // Position of the top-left corner of the next pixel | |
| const x = j * scale; | |
| const y = i * scale; | |
| let cellColour; | |
| if (adj[i][j] === 0) { | |
| cellColour = '#1D2021'; | |
| } else { | |
| cellColour = `rgba(254, 104, 37, ${alpha})`; | |
| } | |
| ctx.beginPath(); | |
| ctx.fillStyle = cellColour; | |
| ctx.fillRect(x, y, scale, scale); | |
| } | |
| } | |
| let image = new Image(); | |
| image.src = canvas.toDataURL(); | |
| const arrBuff = convertDataURIToBinary(image.src); | |
| app.vault.createBinary(`/adj ${moment().format("YYYYMMDDHHmmSS")}.png`, arrBuff); | |
| } | |
| const scaleString = await tp.system.prompt("Choose a scale for the image (it must be a multiple of 2, and 1 is also fine)", "1"); | |
| const scaleInt = parseInt(scaleString); | |
| if ((typeof (scaleInt) === 'number' && scaleInt % 2 === 0) || (typeof (scaleInt) === 'number' && scaleInt === 1)) { | |
| addImage(scaleInt) | |
| } else { | |
| return | |
| } | |
| %> |
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