2017-11-28 21:57:05 +01:00
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import { withComponent, props } from 'skatejs';
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import { Timeseries } from '../lib/timeseries';
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2017-11-30 21:50:33 +01:00
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import injectCss from '../lib/plotly-shadowdom';
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2017-11-30 23:01:46 +01:00
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import { colors } from '../lib/colors';
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2017-11-28 21:57:05 +01:00
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const Component = withComponent();
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class Heatmap extends Component {
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static props = {
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timeseries: props.string,
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2017-11-28 22:46:49 +01:00
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days: props.number,
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2017-11-28 21:57:05 +01:00
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interpolate: props.boolean,
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accumulate: props.boolean,
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2017-11-30 16:09:18 +01:00
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data: props.array,
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2017-11-30 21:50:33 +01:00
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width: props.number,
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height: props.number,
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2017-11-28 21:57:05 +01:00
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};
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2018-12-09 22:07:02 +01:00
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2017-11-28 21:57:05 +01:00
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connected() {
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2017-11-30 16:09:18 +01:00
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if (!this.timeseries) {
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return;
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}
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const daySlots = this.days || 7;
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this.ts = new Timeseries(this.timeseries, new Date(), daySlots);
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this.ts.getData({
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interpolate: this.interpolate,
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accumulate: this.accumulate,
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usePreviousValue: false,
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})
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.then((values) => {
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this.data = values;
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});
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2017-11-28 21:57:05 +01:00
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}
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2018-12-09 22:07:02 +01:00
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2017-11-28 21:57:05 +01:00
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renderer(renderRoot, render) {
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const root = renderRoot;
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2017-11-30 21:50:33 +01:00
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while (root.firstChild) {
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root.removeChild(root.firstChild);
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}
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2017-11-28 21:57:05 +01:00
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root.appendChild(render());
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2017-11-30 21:50:33 +01:00
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injectCss(root);
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2017-11-28 21:57:05 +01:00
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}
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2017-11-30 21:50:33 +01:00
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render({ data, ts, width, height }) {
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2017-11-28 21:57:05 +01:00
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const el = document.createElement('div');
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2017-11-30 16:09:18 +01:00
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if (!data || !data.length || !ts) {
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// No data yet
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2017-11-28 21:57:05 +01:00
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return el;
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}
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2017-11-30 21:50:33 +01:00
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const graphWidth = Math.floor((window.innerWidth / 100) * (width || 40));
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const graphHeight = Math.floor((window.innerHeight / 100) * (height || 50));
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2017-11-30 16:09:18 +01:00
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const graphData = [{
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2017-11-28 21:57:05 +01:00
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x: ts.getSlotLabels(),
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y: ts.getDayLabels(),
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2017-11-30 16:09:18 +01:00
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z: data,
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2017-11-28 21:57:05 +01:00
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type: 'heatmap',
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colorscale: [
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['0.0', 'rgb(0, 0, 0)'],
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2017-11-30 23:01:46 +01:00
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['1.0', colors[2]],
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2017-11-28 21:57:05 +01:00
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],
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showlegend: false,
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showscale: false,
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}];
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const layout = {
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2017-11-30 21:50:33 +01:00
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autosize: false,
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width: graphWidth,
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height: graphHeight,
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2017-11-28 21:57:05 +01:00
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yaxis: {
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autorange: 'reversed',
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tickfont: {
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family: 'Source Code Pro',
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},
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2017-11-30 23:01:46 +01:00
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tickcolor: '#204a87',
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gridcolor: '#204a87',
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2017-11-28 21:57:05 +01:00
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},
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xaxis: {
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type: 'category',
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tickfont: {
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family: 'Source Code Pro',
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},
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2017-11-30 23:01:46 +01:00
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tickcolor: '#204a87',
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gridcolor: '#204a87',
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},
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font: {
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family: ['Source Code Pro', 'sans-serif'],
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size: 16,
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color: '#fff',
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outlineColor: 'transparent',
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2017-11-28 21:57:05 +01:00
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},
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paper_bgcolor: 'transparent',
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2017-11-30 15:45:16 +01:00
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margin: {
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r: 0,
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t: 0,
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},
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2017-11-28 21:57:05 +01:00
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};
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2017-11-30 16:09:18 +01:00
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Plotly.newPlot(el, graphData, layout, {
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staticPlot: true,
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});
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2017-11-28 21:57:05 +01:00
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return el;
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}
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}
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customElements.define('cbase-heatmap', Heatmap);
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