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Add [graph] pre filtering for large data
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1 changed files with 16 additions and 2 deletions
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@ -5,6 +5,12 @@ document$.subscribe(function () {
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const Parent_Node_COLOR = "#ff0000";
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function applyTableFilter(tf) {
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var valuesToSelect = ['1', '2', '3'];
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tf.setFilterValue(4, valuesToSelect);
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tf.filter();
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};
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function parseFilteredTable(tf, allData) {
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var data = [];
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tf.getFilteredData().forEach((row, i) => {
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@ -427,6 +433,8 @@ document$.subscribe(function () {
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// Restart the simulation with new data
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simulation.nodes(nodes);
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simulation.force("link").links(links);
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linkDistance = Math.sqrt((width * height) / nodes.length);
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simulation.force("link").distance(linkDistance);
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simulation.alpha(1).restart();
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}
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});
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@ -473,7 +481,13 @@ document$.subscribe(function () {
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});
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tf.init();
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var data = parseTable(table);
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var allData = parseTable(table);
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if (allData.length > 1000) {
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applyTableFilter(tf);
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data = parseFilteredTable(tf, allData);
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} else {
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data = allData;
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}
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var graphId = "graph" + index;
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var div = document.createElement("div");
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div.id = graphId;
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@ -482,7 +496,7 @@ document$.subscribe(function () {
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// Listen for table filtering events
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tf.emitter.on(['after-filtering'], function () {
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filterTableAndGraph(tf, simulation, data);
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filterTableAndGraph(tf, simulation, allData);
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});
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}
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});
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