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Merge pull request #12897 from dehrax/12224-renderer
WIP Karma to Jest: heatmap renderer (refactor)
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import { describe, beforeEach, it, sinon, expect, angularMocks } from '../../../../../test/lib/common';
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import '../module';
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import angular from 'angular';
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import $ from 'jquery';
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import helpers from 'test/specs/helpers';
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import TimeSeries from 'app/core/time_series2';
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import moment from 'moment';
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import { Emitter } from 'app/core/core';
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import rendering from '../rendering';
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import { convertToHeatMap, convertToCards, histogramToHeatmap, calculateBucketSize } from '../heatmap_data_converter';
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describe('grafanaHeatmap', function() {
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beforeEach(angularMocks.module('grafana.core'));
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function heatmapScenario(desc, func, elementWidth = 500) {
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describe(desc, function() {
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var ctx: any = {};
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ctx.setup = function(setupFunc) {
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beforeEach(
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angularMocks.module(function($provide) {
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$provide.value('timeSrv', new helpers.TimeSrvStub());
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})
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);
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beforeEach(
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angularMocks.inject(function($rootScope, $compile) {
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var ctrl: any = {
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colorSchemes: [
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{
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name: 'Oranges',
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value: 'interpolateOranges',
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invert: 'dark',
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},
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{ name: 'Reds', value: 'interpolateReds', invert: 'dark' },
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],
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events: new Emitter(),
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height: 200,
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panel: {
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heatmap: {},
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cards: {
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cardPadding: null,
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cardRound: null,
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},
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color: {
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mode: 'spectrum',
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cardColor: '#b4ff00',
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colorScale: 'linear',
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exponent: 0.5,
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colorScheme: 'interpolateOranges',
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fillBackground: false,
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},
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legend: {
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show: false,
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},
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xBucketSize: 1000,
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xBucketNumber: null,
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yBucketSize: 1,
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yBucketNumber: null,
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xAxis: {
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show: true,
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},
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yAxis: {
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show: true,
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format: 'short',
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decimals: null,
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logBase: 1,
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splitFactor: null,
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min: null,
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max: null,
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removeZeroValues: false,
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},
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tooltip: {
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show: true,
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seriesStat: false,
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showHistogram: false,
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},
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highlightCards: true,
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},
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renderingCompleted: sinon.spy(),
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hiddenSeries: {},
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dashboard: {
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getTimezone: sinon.stub().returns('utc'),
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},
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range: {
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from: moment.utc('01 Mar 2017 10:00:00', 'DD MMM YYYY HH:mm:ss'),
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to: moment.utc('01 Mar 2017 11:00:00', 'DD MMM YYYY HH:mm:ss'),
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},
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};
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var scope = $rootScope.$new();
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scope.ctrl = ctrl;
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ctx.series = [];
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ctx.series.push(
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new TimeSeries({
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datapoints: [[1, 1422774000000], [2, 1422774060000]],
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alias: 'series1',
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})
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);
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ctx.series.push(
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new TimeSeries({
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datapoints: [[2, 1422774000000], [3, 1422774060000]],
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alias: 'series2',
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})
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);
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ctx.data = {
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heatmapStats: {
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min: 1,
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max: 3,
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minLog: 1,
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},
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xBucketSize: ctrl.panel.xBucketSize,
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yBucketSize: ctrl.panel.yBucketSize,
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};
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setupFunc(ctrl, ctx);
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let logBase = ctrl.panel.yAxis.logBase;
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let bucketsData;
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if (ctrl.panel.dataFormat === 'tsbuckets') {
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bucketsData = histogramToHeatmap(ctx.series);
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} else {
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bucketsData = convertToHeatMap(ctx.series, ctx.data.yBucketSize, ctx.data.xBucketSize, logBase);
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}
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ctx.data.buckets = bucketsData;
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let { cards, cardStats } = convertToCards(bucketsData);
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ctx.data.cards = cards;
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ctx.data.cardStats = cardStats;
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let elemHtml = `
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<div class="heatmap-wrapper">
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<div class="heatmap-canvas-wrapper">
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<div class="heatmap-panel" style='width:${elementWidth}px'></div>
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</div>
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</div>`;
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var element = angular.element(elemHtml);
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$compile(element)(scope);
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scope.$digest();
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ctrl.data = ctx.data;
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ctx.element = element;
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rendering(scope, $(element), [], ctrl);
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ctrl.events.emit('render');
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})
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);
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};
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func(ctx);
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});
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}
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heatmapScenario('default options', function(ctx) {
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ctx.setup(function(ctrl) {
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ctrl.panel.yAxis.logBase = 1;
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});
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it('should draw correct Y axis', function() {
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var yTicks = getTicks(ctx.element, '.axis-y');
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expect(yTicks).to.eql(['1', '2', '3']);
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});
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it('should draw correct X axis', function() {
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var xTicks = getTicks(ctx.element, '.axis-x');
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let expectedTicks = [
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formatTime('01 Mar 2017 10:00:00'),
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formatTime('01 Mar 2017 10:15:00'),
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formatTime('01 Mar 2017 10:30:00'),
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formatTime('01 Mar 2017 10:45:00'),
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formatTime('01 Mar 2017 11:00:00'),
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];
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expect(xTicks).to.eql(expectedTicks);
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});
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});
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heatmapScenario('when logBase is 2', function(ctx) {
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ctx.setup(function(ctrl) {
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ctrl.panel.yAxis.logBase = 2;
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});
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it('should draw correct Y axis', function() {
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var yTicks = getTicks(ctx.element, '.axis-y');
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expect(yTicks).to.eql(['1', '2', '4']);
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});
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});
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heatmapScenario('when logBase is 10', function(ctx) {
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ctx.setup(function(ctrl, ctx) {
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ctrl.panel.yAxis.logBase = 10;
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ctx.series.push(
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new TimeSeries({
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datapoints: [[10, 1422774000000], [20, 1422774060000]],
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alias: 'series3',
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})
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);
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ctx.data.heatmapStats.max = 20;
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});
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it('should draw correct Y axis', function() {
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var yTicks = getTicks(ctx.element, '.axis-y');
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expect(yTicks).to.eql(['1', '10', '100']);
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});
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});
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heatmapScenario('when logBase is 32', function(ctx) {
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ctx.setup(function(ctrl) {
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ctrl.panel.yAxis.logBase = 32;
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ctx.series.push(
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new TimeSeries({
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datapoints: [[10, 1422774000000], [100, 1422774060000]],
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alias: 'series3',
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})
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);
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ctx.data.heatmapStats.max = 100;
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});
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it('should draw correct Y axis', function() {
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var yTicks = getTicks(ctx.element, '.axis-y');
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expect(yTicks).to.eql(['1', '32', '1.0 K']);
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});
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});
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heatmapScenario('when logBase is 1024', function(ctx) {
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ctx.setup(function(ctrl) {
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ctrl.panel.yAxis.logBase = 1024;
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ctx.series.push(
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new TimeSeries({
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datapoints: [[2000, 1422774000000], [300000, 1422774060000]],
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alias: 'series3',
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})
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);
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ctx.data.heatmapStats.max = 300000;
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});
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it('should draw correct Y axis', function() {
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var yTicks = getTicks(ctx.element, '.axis-y');
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expect(yTicks).to.eql(['1', '1 K', '1.0 Mil']);
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});
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});
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heatmapScenario('when Y axis format set to "none"', function(ctx) {
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ctx.setup(function(ctrl) {
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ctrl.panel.yAxis.logBase = 1;
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ctrl.panel.yAxis.format = 'none';
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ctx.data.heatmapStats.max = 10000;
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});
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it('should draw correct Y axis', function() {
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var yTicks = getTicks(ctx.element, '.axis-y');
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expect(yTicks).to.eql(['0', '2000', '4000', '6000', '8000', '10000', '12000']);
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});
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});
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heatmapScenario('when Y axis format set to "second"', function(ctx) {
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ctx.setup(function(ctrl) {
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ctrl.panel.yAxis.logBase = 1;
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ctrl.panel.yAxis.format = 's';
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ctx.data.heatmapStats.max = 3600;
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});
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it('should draw correct Y axis', function() {
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var yTicks = getTicks(ctx.element, '.axis-y');
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expect(yTicks).to.eql(['0 ns', '17 min', '33 min', '50 min', '1.11 hour']);
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});
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});
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heatmapScenario('when data format is Time series buckets', function(ctx) {
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ctx.setup(function(ctrl, ctx) {
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ctrl.panel.dataFormat = 'tsbuckets';
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const series = [
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{
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alias: '1',
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datapoints: [[1000, 1422774000000], [200000, 1422774060000]],
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},
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{
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alias: '2',
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datapoints: [[3000, 1422774000000], [400000, 1422774060000]],
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},
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{
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alias: '3',
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datapoints: [[2000, 1422774000000], [300000, 1422774060000]],
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},
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];
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ctx.series = series.map(s => new TimeSeries(s));
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ctx.data.tsBuckets = series.map(s => s.alias).concat('');
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ctx.data.yBucketSize = 1;
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let xBucketBoundSet = series[0].datapoints.map(dp => dp[1]);
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ctx.data.xBucketSize = calculateBucketSize(xBucketBoundSet);
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});
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it('should draw correct Y axis', function() {
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var yTicks = getTicks(ctx.element, '.axis-y');
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expect(yTicks).to.eql(['1', '2', '3', '']);
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});
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});
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});
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function getTicks(element, axisSelector) {
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return element
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.find(axisSelector)
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.find('text')
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.map(function() {
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return this.textContent;
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})
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.get();
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}
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function formatTime(timeStr) {
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let format = 'HH:mm';
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return moment.utc(timeStr, 'DD MMM YYYY HH:mm:ss').format(format);
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}
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