mirror of https://github.com/hashicorp/consul
59 lines
1.7 KiB
JavaScript
59 lines
1.7 KiB
JavaScript
import Component from '@ember/component';
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import { computed, set, get } from '@ember/object';
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const size = 336;
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const insetSize = size / 2 - 8;
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const inset = function(num) {
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return insetSize * num;
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};
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const milliseconds = function(num, max) {
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return max > 0 ? parseInt(max * num) / 100 : 0;
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};
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export default Component.extend({
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size: size,
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tomography: 0,
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max: -999999999,
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init: function() {
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this._super(...arguments);
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this.circle = [inset(1), inset(0.25), inset(0.5), inset(0.75), inset(1)];
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this.labels = [inset(-0.25), inset(-0.5), inset(-0.75), inset(-1)];
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},
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milliseconds: computed('distances', 'max', function() {
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const max = get(this, 'max');
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return [
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milliseconds(25, max),
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milliseconds(50, max),
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milliseconds(75, max),
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milliseconds(100, max),
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];
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}),
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distances: computed('tomography', function() {
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const tomography = get(this, 'tomography');
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let distances = get(tomography, 'distances') || [];
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distances.forEach((d, i) => {
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if (d.distance > get(this, 'max')) {
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set(this, 'max', d.distance);
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}
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});
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let n = get(distances, 'length');
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if (n > 360) {
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// We have more nodes than we want to show, take a random sampling to keep
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// the number around 360.
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const sampling = 360 / n;
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distances = distances.filter(function(_, i) {
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return i == 0 || i == n - 1 || Math.random() < sampling;
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});
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n = get(distances, 'length');
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}
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return distances.map((d, i) => {
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return {
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rotate: (i * 360) / n,
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y2: -insetSize * (d.distance / get(this, 'max')),
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node: d.node,
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distance: d.distance,
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segment: d.segment,
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};
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});
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}),
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});
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