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/* eslint no-console: 0 */

import { tableFromIPC } from 'apache-arrow';

import createScatterplot, { createRenderer } from '../src';

import { showModal, closeModal } from './utils';

/**

* General configuration

*/

const NUM_COLUMNS = 2;

const NUM_ROWS = 2;

const POINT_SIZE = 3;

const OPACITY = 0.66;

const LASSO_INITIATOR = true;

const FASHION_MNIST_CLASS_LABELS = [

'T-shirt/top',

'Trouser',

'Pullover',

'Dress',

'Coat',

'Sandal',

'Shirt',

'Sneaker',

'Bag',

'Ankle boot',

];

const CLASS_COLORS = [

'#FFFF00',

'#1CE6FF',

'#FF34FF',

'#FF4A46',

'#008941',

'#006FA6',

'#A30059',

'#FFDBE5',

'#7A4900',

'#0000A6',

];

/**

* Load Embedding Example

*/

const whenData = fetch(

'https://storage.googleapis.com/flekschas/regl-scatterplot/fashion-mnist-embeddings.arrow'

);

/**

* Modal

*/

showModal('Loading...');

/**

* Add info to footer

*/

const footer = document.querySelector('#footer');

footer.classList.remove('hidden');

const infoContent = document.querySelector('#info-content');

infoContent.innerHTML = `

<p><a href="https://github.com/zalandoresearch/fashion-mnist" target="_blank">Fashion MNIST</a> embedding using four different techniques: PCA, t-SNE, UMAP, and a convolutional autoencoder.</p>

<p> Select a point so see the corresponding image.</p>

`;

/**

* Note

*/

const parentWrapper = document.querySelector('#parent-wrapper');

const noteEl = document.createElement('div');

noteEl.id = 'note';

noteEl.style.opacity = 0;

parentWrapper.appendChild(noteEl);

const showNote = (text, color) => {

noteEl.style.opacity = 1;

noteEl.style.background = color;

noteEl.textContent = text;

};

const hideNote = () => {

noteEl.style.opacity = 0;

};

/**

* Image

*/

const centerNoteEl = document.createElement('div');

centerNoteEl.id = 'center-note';

centerNoteEl.style.opacity = 0;

const imgEl = document.createElement('div');

imgEl.style.width = '56px';

imgEl.style.height = '56px';

imgEl.style.backgroundColor = 'black';

imgEl.style.backgroundSize = 'cover';

imgEl.style.backgroundRepeat = 'no-repeat';

centerNoteEl.appendChild(imgEl);

parentWrapper.appendChild(centerNoteEl);

const zeroPad = (num, places) => String(num).padStart(places, '0');

const showImg = (pointId, classId) => {

const img = new Image();

const imgId = zeroPad(pointId, 5);

const src = `https://storage.googleapis.com/flekschas/regl-scatterplot/fashion-mnist-images/${imgId}.png`;

img.onload = () => {

centerNoteEl.style.opacity = 1;

centerNoteEl.style.transform = 'translate(-50%, -50%) scale(1)';

imgEl.style.backgroundImage = `url("${src}")`;

centerNoteEl.style.background = CLASS_COLORS[classId];

};

img.src = src;

};

const hideImg = () => {

centerNoteEl.style.opacity = 0;

centerNoteEl.style.transform = 'translate(-50%, -50%) scale(0)';

};

/**

* Set up the HTML template

*/

parentWrapper.style.display = 'grid';

parentWrapper.style.gridTemplateColumns = `repeat(${NUM_COLUMNS}, minmax(0, 1fr))`;

parentWrapper.style.gridTemplateRows = `repeat(2, minmax(0, 1fr))`;

parentWrapper.style.gap = '1rem';

const baseCanvas = document.querySelector('#canvas');

const baseCanvasWrapper = document.querySelector('#canvas-wrapper');

baseCanvasWrapper.style.position = 'relative';

const canvases = [baseCanvas];

for (let i = 0; i < NUM_COLUMNS * NUM_ROWS - 1; i++) {

const newCanvas = baseCanvas.cloneNode();

const newCanvasWrapper = baseCanvasWrapper.cloneNode();

newCanvasWrapper.appendChild(newCanvas);

parentWrapper.appendChild(newCanvasWrapper);

canvases.push(newCanvas);

}

/**

* Getting references for the menu UI elements

*/

const numPointsEl = document.querySelector('#num-points');

const numPointsValEl = document.querySelector('#num-points-value');

const pointSizeEl = document.querySelector('#point-size');

const pointSizeValEl = document.querySelector('#point-size-value');

const opacityEl = document.querySelector('#opacity');

const opacityValEl = document.querySelector('#opacity-value');

const clickLassoInitiatorEl = document.querySelector('#click-lasso-initiator');

const resetEl = document.querySelector('#reset');

const exampleEl = document.querySelector('#example-multiple-instances');

exampleEl.setAttribute('class', 'active');

exampleEl.removeAttribute('href');

/**

* Create a reusable renderer

*/

const renderer = createRenderer();

if (!renderer.isSupported) {

showModal(

'Unfortunately, your browser does not support all WebGL extensions required by regl-scatterplot',

true

);

}

/**

* Create a scatter plot instances

*/

const scatterplots = canvases.map((canvas) =>

createScatterplot({

renderer,

canvas,

pointSize: POINT_SIZE,

opacity: OPACITY,

lassoOnLongPress: true,

})

);

console.log(`Scatterplot v${scatterplots[0].get('version')}`);

/**

* Disable num points setter because we work with fixed data

*/

numPointsEl.disabled = true;

/**

* Link menu UI elements to the scatter plot instances

*/

const setPointSize = (newPointSize) => {

pointSizeEl.value = newPointSize;

pointSizeValEl.innerHTML = newPointSize;

scatterplots.forEach((sp) => sp.set({ pointSize: newPointSize }));

};

const pointSizeInputHandler = (event) => setPointSize(+event.target.value);

pointSizeEl.addEventListener('input', pointSizeInputHandler);

setPointSize(scatterplots[0].get('pointSize'));

const setOpacity = (newOpacity) => {

opacityEl.value = newOpacity;

opacityValEl.innerHTML = newOpacity;

scatterplots.forEach((sp) => sp.set({ opacity: newOpacity }));

};

const opacityInputHandler = (event) => setOpacity(+event.target.value);

opacityEl.addEventListener('input', opacityInputHandler);

setOpacity(scatterplots[0].get('opacity'));

const clickLassoInitiatorChangeHandler = (event) => {

scatterplots.forEach((sp) =>

sp.set({ lassoInitiator: event.target.checked })

);

};

clickLassoInitiatorEl.addEventListener(

'change',

clickLassoInitiatorChangeHandler

);

clickLassoInitiatorEl.checked = scatterplots[0].get('lassoInitiator');

const resetClickHandler = () => {

scatterplots.forEach((sp) => sp.reset());

};

resetEl.addEventListener('click', resetClickHandler);

/**

* Link scatter plots

*/

const syncSelection = (source, selectedPoints, classIds) => {

scatterplots

.filter((sp) => sp !== source)

.forEach((sp) => {

sp.select(selectedPoints, { preventEvent: true });

});

scatterplots.forEach((sp) => {

sp.zoomToPoints(selectedPoints, {

padding: 0.2,

transition: true,

transitionDuration: 1500,

});

});

const pointId =

selectedPoints[Math.floor(Math.random() * (selectedPoints.length - 1))];

showImg(pointId, classIds[pointId]);

};

const syncDeselection = (source) => {

scatterplots

.filter((sp) => sp !== source)

.forEach((sp) => {

sp.deselect({ preventEvent: true });

});

scatterplots.forEach((sp) => {

sp.zoomToOrigin({

transition: true,

transitionDuration: 1500,

});

});

hideImg();

};

/**

* Finally, draw points 🎉

*/

whenData

.then((data) => tableFromIPC(data))

.then((table) => {

closeModal();

const columnValues = table.data[0].children.map((data) => data.values);

const classIds = columnValues[columnValues.length - 1];

numPointsValEl.innerHTML = table.numRows;

scatterplots.forEach((sp, i) => {

sp.draw({

x: columnValues[i * 2],

y: columnValues[i * 2 + 1],

z: classIds,

});

sp.set({

colorBy: 'z',

pointColor: CLASS_COLORS,

});

sp.subscribe('pointover', (pointId) => {

showNote(

FASHION_MNIST_CLASS_LABELS[classIds[pointId]],

CLASS_COLORS[classIds[pointId]]

);

});

sp.subscribe('pointout', hideNote);

sp.subscribe('select', ({ points }) =>

syncSelection(sp, points, classIds)

);

sp.subscribe('deselect', () => syncDeselection(sp));

});

})

.catch((error) => {

showModal('Could not load embedding... Damn...', true);

console.error(error);

});