// Get the width and heigh of the SVG element. var width = +document.getElementById('svg').clientWidth, height = +document.getElementById('svg').clientHeight; var svg = d3.select('svg') .call(d3.zoom().scaleExtent([0.0001, 1000000]).on('zoom', function () { svg.attr('transform', d3.event.transform); })) .append('g'); var div = d3.select('body').append('div') .attr('class', 'tooltip') .style('opacity', 0); var brush = d3.brush() .extent([[-9999999, -9999999], [9999999, 9999999]]) .on('end', brushEnded); svg.append('g') .attr('class', 'brush') .call(brush); // var intercom = Intercom.getInstance(); // intercom.on("select", unSelectNodes); var nodes, // as in Data points node, // as in SVG object that have all small circles on screen props, norm, p1 = 0, p2 = 0, size, distanceFunction, simulation, velocities = [], rendering = true, // Rendering during the execution. forceName = 'forces', springForce = false, tooltipWidth = 0, fileName = '', selectedData, clickedIndex = -1, paused = false, alreadyRanIterations, tweakedVerOfLink, manualStop = false; // Default parameters var MULTIPLIER = 50, PERPLEXITY = 30, LEARNING_RATE = 10, NEIGHBOUR_SIZE = 10, SAMPLE_SIZE = 10, PIVOTS = false, NUM_PIVOTS = 3, ITERATIONS = 300, FULL_ITERATIONS = 20, NODE_SIZE = 10, COLOR_ATTRIBUTE = '', FULL_NEIGHBOUR_SIZE = 10, FULL_SAMPLE_SIZE = 10, INTERP_ENDING_ITS = 20; // Create a color scheme for a range of numbers. var color = d3.scaleOrdinal(d3.schemeCategory10); $(document).ready(function () { distanceFunction = calculateDistance; d3.select('#startSimulation').on('click', startHybridSimulation); $('#HLParameters').show(); }); /** * Parse the data from the provided csv file using Papa Parse library * @param {file} evt - csv file. */ function parseFile (evt) { // Clear the previous nodes d3.selectAll('.nodes').remove(); springForce = false; fileName = evt.target.files[0].name; Papa.parse(evt.target.files[0], { header: true, dynamicTyping: true, skipEmptyLines: true, complete: function (results) { processData(results.data, results.error); } }); } /** * Process the data and pass it into D3 force simulation. * @param {array} data * @param {object} error */ function processData (data, error) { if (error) throw error.message; nodes = data; size = nodes.length; simulation = d3.forceSimulation(); // Calculate normalization parameters for distance fns norm = calculateNormalization(nodes); props = Object.keys(nodes[0]); // Properties to consider by distance fn COLOR_ATTRIBUTE = props[props.length - 1]; var opts = document.getElementById('color_attr').options; props.forEach(function (d) { opts.add(new Option(d, d, (d === COLOR_ATTRIBUTE))); }); opts.selectedIndex = props.length - 1; // props.pop(); //Hide Iris index / last column from the distance function // Put the nodes at (0,0) nodes.forEach(function (d) { d.x = 0; d.y = 0; }); addNodesToDOM(nodes); // Pass the nodes to the D3 force simulation. simulation .nodes(nodes) .stop(); ticked(); }; function addNodesToDOM (data) { node = svg.append('g') .attr('class', 'nodes') .selectAll('circle') .data(data) .enter().append('circle') .attr('r', NODE_SIZE) .attr('transform', 'translate(' + width / 2 + ',' + height / 2 + ')') // Color code the data points by a property (for Poker Hands, // it is a CLASS property). .attr('fill', function (d) { return color(d[COLOR_ATTRIBUTE]); }) .on('mouseover', function (d) { div.transition() .duration(200) .style('opacity', 0.9); div.html(formatTooltip(d)) .style('left', (d3.event.pageX) + 'px') .style('top', (d3.event.pageY - (15 * props.length)) + 'px') .style('width', (6 * tooltipWidth) + 'px') .style('height', (14 * props.length) + 'px'); highlightOnHover(d[COLOR_ATTRIBUTE]); }) .on('mouseout', function (d) { div.transition() .duration(500) .style('opacity', 0); node.attr('opacity', 1); }) .on('click', function (d) { console.log('click', clickedIndex); if (clickedIndex !== d.index) { if (springForce) { highlightNeighbours(Array.from(simulation.force(forceName).nodeNeighbours(d.index).keys())); clickedIndex = d.index; } } else { node.attr('r', NODE_SIZE).attr('stroke-width', 0); clickedIndex = -1; } }); if (selectedData) { unSelectNodes(selectedData); } } function ticked () { alreadyRanIterations++; // If rendering is selected, then draw at every iteration. if (rendering === true) { node // Each sub-circle in the SVG, update cx and cy .attr('cx', function (d) { return d.x * MULTIPLIER; }) .attr('cy', function (d) { return d.y * MULTIPLIER; }); } // Legacy: Emit the distribution data to allow the drawing of the bar graph // if (springForce) { // intercom.emit("passedData", simulation.force(forceName).distributionData()); // } if (manualStop && alreadyRanIterations == ITERATIONS) { ended(); } } function ended () { simulation.stop(); simulation.force(forceName, null); if (rendering !== true) { // Never drawn anything before? Now it's time. node .attr('cx', function (d) { return d.x * MULTIPLIER; }) .attr('cy', function (d) { return d.y * MULTIPLIER; }); } if (p1 !== 0) { // Performance time measurement p2 = performance.now(); console.log('Execution time: ' + (p2 - p1)); p1 = 0; p2 = 0; } } function brushEnded () { var s = d3.event.selection, results = []; if (s) { var x0 = s[0][0] - width / 2, y0 = s[0][1] - height / 2, x1 = s[1][0] - width / 2, y1 = s[1][1] - height / 2; if (nodes) { var sel = node.filter(function (d) { if (d.x > x0 && d.x < x1 && d.y > y0 && d.y < y1) { return true; } return false; }).data(); results = sel.map(function (a) { return a.index; }); } // intercom.emit("select", { name: fileName, indices: results }); d3.select('.brush').call(brush.move, null); } } /** * Format the tooltip for the data * @param {*} node */ function formatTooltip (node) { var textString = '', temp = ''; tooltipWidth = 0; props.forEach(function (element) { temp = element + ': ' + node[element] + '
'; textString += temp; if (temp.length > tooltipWidth) { tooltipWidth = temp.length; } }); return textString; } /** * Halt the execution. */ function stopSimulation () { simulation.stop(); if (typeof hybridSimulation !== 'undefined') { hybridSimulation.stop(); } } /** * Calculate the average values of the array. * @param {array} array * @return {number} the mean of the array. */ function getAverage (array) { console.log('getAverage', array); var total = 0; for (var i = 0; i < array.length; i++) { total += array[i]; } return total / array.length; } /** * Deselect the nodes to match the selection from other window. * @param {*} data */ function unSelectNodes (data) { selectedData = data; if (fileName === data.name && nodes) { node .classed('notSelected', function (d) { if (data.indices.indexOf(d.index) < 0) { return true; } return false; }); } } /** * Highlight the neighbours for neighbour and sampling algorithm * @param {*} indices */ function highlightNeighbours (indices) { node .attr('r', function (d) { if (indices.indexOf(d.index) >= 0) { return NODE_SIZE * 2; } return NODE_SIZE; }) .attr('stroke-width', function (d) { if (indices.indexOf(d.index) >= 0) { return NODE_SIZE * 0.2 + 'px'; } return '0px'; }) .attr('stroke', 'white'); } /** * Highlight all the nodes with the same class on hover * @param {*} highlighValue */ function highlightOnHover (highlighValue) { node.attr('opacity', function (d) { return (highlighValue === d[COLOR_ATTRIBUTE]) ? 1 : 0.3; }); } /** * Color the nodes according to given attribute. */ function colorToAttribute () { node.attr('fill', function (d) { return color(d[COLOR_ATTRIBUTE]); }); } /** * Update the distance range. function updateDistanceRange() { if (springForce) { simulation.force(forceName).distanceRange(SELECTED_DISTANCE); } } /** * Implemented pause/resume functionality */ function pauseUnPause () { if (simulation) { if (paused) { simulation.force(forceName); simulation.restart(); d3.select('#pauseButton').text('Pause'); paused = false; } else { simulation.stop(); d3.select('#pauseButton').text('Resume'); paused = true; } } } /** * Average distances for each node. * @param {*} dataNodes * @param {*} properties * @param {*} normalization function calculateAverageDistance(dataNodes, properties, normalization) { var sum = 0, n = nodes.length; for (var i = 0; i < n; i++) { var sumNode = 0; for (var j = 0; j < n; j++) { if (i !== j) { sumNode += distanceFunction(nodes[i], nodes[j], properties, normalization); // console.log(sumNode); } } sum += sumNode / (n - 1); } return sum / n; } */