const selectors = { get sortControl() { return document.forms.sortControl.elements; }, get clusterControl() { return document.forms.clusterControl.elements; }, get resultsToDisplay() { return selectors.sortControl.resultsToDisplay.value; }, get colorSpace() { return selectors.sortControl.colorSpace.value; }, get sortMetric() { return selectors.sortControl.sortMetric.value; }, get sortOrder() { return selectors.sortControl.sortOrder.checked ? "max" : "min"; }, get scaleFactor() { return selectors.sortControl.rescaleFactor.value; }, get useClusters() { return selectors.sortControl.useClusters.value; }, get clusterSortMetric() { return selectors.clusterControl.sortMetric.value; }, get clusterSortOrder() { return selectors.clusterControl.sortOrder.checked ? "max" : "min"; }, get clusterScaleFactor() { return selectors.clusterControl.rescaleFactor.value; }, get prevColors() { return document.getElementById("prev-colors"); }, set background(hex) { document.querySelector(":root").style.setProperty("--background", hex); }, set highlight(hex) { document.querySelector(":root").style.setProperty("--highlight", hex); }, }; const onMetricChange = (elements, skipUpdates = false) => { elements.sortOrderLabel.value = elements.sortOrder.checked ? "Maximizing" : "Minimizing"; const kind = elements.metricKind.value; elements.whole.disabled = kind !== "whole"; elements.mean.disabled = kind !== "mean"; elements.statistic.disabled = kind !== "statistic"; elements.sortMetric.value = elements[kind].value; if (!skipUpdates) { updateSort(); } }; const onColorChange = (inputValue, skipUpdates = false) => { const colorInput = "#" + (inputValue?.replace("#", "") ?? "FFFFFF"); if (colorInput.length !== 7) { return; } const rgb = d3.color(colorInput); if (!rgb) { return; } const hex = rgb.formatHex(); selectors.sortControl.colorText.value = hex; selectors.sortControl.colorPicker.value = hex; const contrast = getContrastingTextColor(hex); const newColor = document.createElement("div"); newColor.innerHTML = hex; newColor.style = ` color: ${contrast}; background-color: ${hex}; `; selectors.prevColors.prepend(newColor); selectors.background = hex; selectors.highlight = contrast; if (!skipUpdates) { updateScores(rgb); updateSort(); } }; const randomColor = () => d3.hsl(Math.random() * 360, Math.random(), Math.random()).formatHex(); const calcScores = (data, target) => { const sigma = Math.sqrt( data.inertia - 2 * vectorDot(data.mu.vector, target.vector) + target.sqMag ); const bigTheta = 1 - vectorDot(data.nu, target.unit); const rawPhi = Math.abs(data.mu.hue - target.hue); return { sigma, bigTheta, alpha: sigma * Math.pow(bigTheta, target.chroma + target.lightness), theta: rad2deg * Math.acos(vectorDot(data.mu.unit, target.unit)), phi: Math.min(rawPhi, 360 - rawPhi), delta: vectorMag(data.mu.vector.map((x, i) => x - target.vector[i])), manhattan: data.mu.vector .map((x, i) => Math.abs(x - target.vector[i])) .reduce((x, y) => x + y), ch: Math.max(...data.mu.vector.map((x, i) => Math.abs(x - target.vector[i]))), lightnessDiff: Math.abs(data.mu.lightness - target.lightness), inertia: data.inertia, variance: data.inertia - data.mu.sqMag, muNuAngle: data.muNuAngle, size: data.size, lightness: data.mu.lightness, chroma: data.mu.chroma, importance: data.importance, inverseSize: data.inverseSize, proportion: data.proportion, inverseProportion: data.inverseProportion, }; }; const sortOrders = { max: (a, b) => b - a, min: (a, b) => a - b, }; const scaleOptions = { none: () => [1, 1, 1], direct: (scores) => scores.clusters.map((c) => c.proportion), inverse: (scores) => scores.clusters.map((c) => c.inverseProportion), size: (scores) => [scores.total.size, scores.total.size, scores.total.size], inverseSize: (scores) => [ scores.total.inverseSize, scores.total.inverseSize, scores.total.inverseSize, ], }; const currentScores = {}; const currentBestClusterIndices = {}; let sortedData = []; const updateScores = (rgb) => { const { J, a, b } = d3.jab(rgb); const targetJab = buildVectorData([J, a, b], jab2hue, jab2lit, jab2chroma, jab2hex); const targetRgb = buildVectorData( [rgb.r, rgb.g, rgb.b], rgb2hue, rgb2lit, rgb2chroma, rgb2hex ); pokemonData.forEach(({ name, jab, rgb }) => { currentScores[name] = { jab: { total: calcScores(jab.total, targetJab), clusters: jab.clusters.map((c) => calcScores(c, targetJab)), }, rgb: { total: calcScores(rgb.total, targetRgb), clusters: rgb.clusters.map((c) => calcScores(c, targetRgb)), }, }; }); }; const updateSort = () => { // update cluster rankings const clusterSortOrder = sortOrders[selectors.clusterSortOrder]; const clusterScaleOption = scaleOptions[selectors.clusterScaleFactor]; pokemonData.forEach(({ name }) => { const { jab, rgb } = currentScores[name]; // multiply scale with the intended metric, and find the index of the best value const forSpace = (clusters, scales) => clusters .map((c, i) => [c[selectors.clusterSortMetric] * scales[i], i]) .reduce((a, b) => (clusterSortOrder(a[0], b[0]) > 0 ? b : a))[1]; currentBestClusterIndices[name] = { jab: forSpace(jab.clusters, clusterScaleOption(jab)), rgb: forSpace(rgb.clusters, clusterScaleOption(rgb)), }; }); // set up for actual sort const scaleOption = scaleOptions[selectors.scaleFactor]; let valueExtractor; switch (selectors.useClusters) { case "off": valueExtractor = (name) => currentScores[name][selectors.colorSpace].total[selectors.sortMetric]; break; case "on": valueExtractor = (name) => { const index = currentBestClusterIndices[name][selectors.colorSpace]; return ( scaleOption(currentScores[name][selectors.colorSpace])[index] * currentScores[name][selectors.colorSpace].clusters[index][selectors.sortMetric] ); }; break; case "mult": valueExtractor = (name) => { const index = currentBestClusterIndices[name][selectors.colorSpace]; return ( currentScores[name][selectors.colorSpace].total[selectors.sortMetric] * scaleOption(currentScores[name][selectors.colorSpace])[index] * currentScores[name][selectors.colorSpace].clusters[index][selectors.sortMetric] ); }; break; } // update actual sorted data const sortOrder = sortOrders[selectors.sortOrder]; sortedData = pokemonData .map(({ name }) => name) .sort((a, b) => sortOrder(valueExtractor(a), valueExtractor(b))); // and desplay results showResults(); }; const showResults = () => { // TODO console.log(sortedData.slice(0, selectors.resultsToDisplay)); }; window.addEventListener("load", () => { const metricTemplate = document.getElementById("metric-form-template").content; selectors.sortControl.metric.appendChild(metricTemplate.cloneNode(true)); selectors.sortControl.metricKind.value = "whole"; selectors.sortControl.whole.value = "alpha"; onMetricChange(selectors.sortControl, true); selectors.clusterControl.metric.appendChild(metricTemplate.cloneNode(true)); selectors.clusterControl.sortOrder.checked = true; selectors.clusterControl.metricKind.value = "statistic"; selectors.clusterControl.statistic.value = "importance"; onMetricChange(selectors.clusterControl, true); const scaleTemplate = document.getElementById("scale-form-template").content; selectors.sortControl.rescaleSection.appendChild(scaleTemplate.cloneNode(true)); selectors.sortControl.rescaleFactor.value = "inverse"; selectors.clusterControl.rescaleSection.appendChild(scaleTemplate.cloneNode(true)); selectors.clusterControl.rescaleFactor.value = "none"; document.body.addEventListener("click", ({ target: { innerText }, detail }) => { if (detail === 2 && innerText?.includes("#")) { const clickedHex = innerText?.match(/.*(#[0-9a-fA-F]{6}).*/)?.[1] ?? ""; if (clickedHex) { onColorChange(clickedHex); } } }); onColorChange(randomColor()); });