mirror of
https://github.com/grafana/grafana.git
synced 2025-02-25 18:55:37 -06:00
Karma to Jest: graph (refactor) (#12860)
* Begin conversion * Test setup started * Begin rewrite of graph * Rewrite as class * Some tests passing * Fix binding errors * Half tests passing * Call buildFlotPairs. More tests passing * All tests passing * Remove test test * Remove Karma test * Make methods out of event functions * Rename GraphElement
This commit is contained in:
Tobias Skarhed
Torkel Ödegaard
parent
c521f51780
commit
739bee0207
File diff suppressed because it is too large
Load Diff
@ -13,6 +13,7 @@ import { axesEditorComponent } from './axes_editor';
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class GraphCtrl extends MetricsPanelCtrl {
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static template = template;
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renderError: boolean;
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hiddenSeries: any = {};
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seriesList: any = [];
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dataList: any = [];
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518
public/app/plugins/panel/graph/specs/graph.jest.ts
Normal file
518
public/app/plugins/panel/graph/specs/graph.jest.ts
Normal file
@ -0,0 +1,518 @@
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jest.mock('app/features/annotations/all', () => ({
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EventManager: function() {
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return {
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on: () => {},
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addFlotEvents: () => {},
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};
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},
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}));
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jest.mock('app/core/core', () => ({
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coreModule: {
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directive: () => {},
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},
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appEvents: {
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on: () => {},
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},
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}));
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import '../module';
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import { GraphCtrl } from '../module';
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import { MetricsPanelCtrl } from 'app/features/panel/metrics_panel_ctrl';
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import { PanelCtrl } from 'app/features/panel/panel_ctrl';
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import config from 'app/core/config';
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import TimeSeries from 'app/core/time_series2';
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import moment from 'moment';
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import $ from 'jquery';
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import { graphDirective } from '../graph';
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let ctx = <any>{};
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let ctrl;
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let scope = {
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ctrl: {},
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range: {
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from: moment([2015, 1, 1]),
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to: moment([2015, 11, 20]),
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},
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$on: () => {},
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};
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let link;
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describe('grafanaGraph', function() {
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const setupCtx = (beforeRender?) => {
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config.bootData = {
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user: {
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lightTheme: false,
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},
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};
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GraphCtrl.prototype = <any>{
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...MetricsPanelCtrl.prototype,
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...PanelCtrl.prototype,
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...GraphCtrl.prototype,
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height: 200,
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panel: {
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events: {
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on: () => {},
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},
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legend: {},
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grid: {},
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yaxes: [
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{
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min: null,
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max: null,
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format: 'short',
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logBase: 1,
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},
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{
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min: null,
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max: null,
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format: 'short',
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logBase: 1,
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},
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],
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thresholds: [],
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xaxis: {},
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seriesOverrides: [],
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tooltip: {
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shared: true,
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},
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},
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renderingCompleted: jest.fn(),
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hiddenSeries: {},
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dashboard: {
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getTimezone: () => 'browser',
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},
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range: {
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from: moment([2015, 1, 1, 10]),
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to: moment([2015, 1, 1, 22]),
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},
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};
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ctx.data = [];
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ctx.data.push(
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new TimeSeries({
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datapoints: [[1, 1], [2, 2]],
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alias: 'series1',
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})
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);
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ctx.data.push(
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new TimeSeries({
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datapoints: [[10, 1], [20, 2]],
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alias: 'series2',
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})
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);
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ctrl = new GraphCtrl(
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{
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$on: () => {},
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},
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{
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get: () => {},
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},
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{}
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);
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$.plot = ctrl.plot = jest.fn();
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scope.ctrl = ctrl;
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link = graphDirective({}, {}, {}).link(scope, { width: () => 500, mouseleave: () => {}, bind: () => {} });
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if (typeof beforeRender === 'function') {
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beforeRender();
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}
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link.data = ctx.data;
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//Emulate functions called by event listeners
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link.buildFlotPairs(link.data);
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link.render_panel();
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ctx.plotData = ctrl.plot.mock.calls[0][1];
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ctx.plotOptions = ctrl.plot.mock.calls[0][2];
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};
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describe('simple lines options', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.lines = true;
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ctrl.panel.fill = 5;
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ctrl.panel.linewidth = 3;
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ctrl.panel.steppedLine = true;
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});
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});
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it('should configure plot with correct options', () => {
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expect(ctx.plotOptions.series.lines.show).toBe(true);
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expect(ctx.plotOptions.series.lines.fill).toBe(0.5);
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expect(ctx.plotOptions.series.lines.lineWidth).toBe(3);
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expect(ctx.plotOptions.series.lines.steps).toBe(true);
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});
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});
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describe('sorting stacked series as legend. disabled', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.legend.sort = undefined;
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ctrl.panel.stack = false;
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});
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});
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it('should not modify order of time series', () => {
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expect(ctx.plotData[0].alias).toBe('series1');
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expect(ctx.plotData[1].alias).toBe('series2');
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});
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});
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describe('sorting stacked series as legend. min descending order', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.legend.sort = 'min';
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ctrl.panel.legend.sortDesc = true;
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ctrl.panel.stack = true;
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});
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});
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it('highest value should be first', () => {
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expect(ctx.plotData[0].alias).toBe('series2');
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expect(ctx.plotData[1].alias).toBe('series1');
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});
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});
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describe('sorting stacked series as legend. min ascending order', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.legend.sort = 'min';
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ctrl.panel.legend.sortDesc = false;
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ctrl.panel.stack = true;
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});
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});
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it('lowest value should be first', () => {
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expect(ctx.plotData[0].alias).toBe('series1');
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expect(ctx.plotData[1].alias).toBe('series2');
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});
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});
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describe('sorting stacked series as legend. stacking disabled', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.legend.sort = 'min';
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ctrl.panel.legend.sortDesc = true;
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ctrl.panel.stack = false;
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});
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});
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it('highest value should be first', () => {
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expect(ctx.plotData[0].alias).toBe('series1');
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expect(ctx.plotData[1].alias).toBe('series2');
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});
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});
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describe('sorting stacked series as legend. current descending order', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.legend.sort = 'current';
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ctrl.panel.legend.sortDesc = true;
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ctrl.panel.stack = true;
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});
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});
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it('highest last value should be first', () => {
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expect(ctx.plotData[0].alias).toBe('series2');
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expect(ctx.plotData[1].alias).toBe('series1');
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});
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});
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describe('when logBase is log 10', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctx.data[0] = new TimeSeries({
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datapoints: [[2000, 1], [0.002, 2], [0, 3], [-1, 4]],
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alias: 'seriesAutoscale',
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});
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ctx.data[0].yaxis = 1;
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ctx.data[1] = new TimeSeries({
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datapoints: [[2000, 1], [0.002, 2], [0, 3], [-1, 4]],
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alias: 'seriesFixedscale',
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});
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ctx.data[1].yaxis = 2;
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ctrl.panel.yaxes[0].logBase = 10;
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ctrl.panel.yaxes[1].logBase = 10;
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ctrl.panel.yaxes[1].min = '0.05';
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ctrl.panel.yaxes[1].max = '1500';
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});
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});
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it('should apply axis transform, autoscaling (if necessary) and ticks', function() {
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var axisAutoscale = ctx.plotOptions.yaxes[0];
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expect(axisAutoscale.transform(100)).toBe(2);
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expect(axisAutoscale.inverseTransform(-3)).toBeCloseTo(0.001);
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expect(axisAutoscale.min).toBeCloseTo(0.001);
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expect(axisAutoscale.max).toBe(10000);
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expect(axisAutoscale.ticks.length).toBeCloseTo(8);
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expect(axisAutoscale.ticks[0]).toBeCloseTo(0.001);
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if (axisAutoscale.ticks.length === 7) {
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expect(axisAutoscale.ticks[axisAutoscale.ticks.length - 1]).toBeCloseTo(1000);
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} else {
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expect(axisAutoscale.ticks[axisAutoscale.ticks.length - 1]).toBe(10000);
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}
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var axisFixedscale = ctx.plotOptions.yaxes[1];
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expect(axisFixedscale.min).toBe(0.05);
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expect(axisFixedscale.max).toBe(1500);
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expect(axisFixedscale.ticks.length).toBe(5);
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expect(axisFixedscale.ticks[0]).toBe(0.1);
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expect(axisFixedscale.ticks[4]).toBe(1000);
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});
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});
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describe('when logBase is log 10 and data points contain only zeroes', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.yaxes[0].logBase = 10;
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ctx.data[0] = new TimeSeries({
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datapoints: [[0, 1], [0, 2], [0, 3], [0, 4]],
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alias: 'seriesAutoscale',
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});
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ctx.data[0].yaxis = 1;
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});
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});
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it('should not set min and max and should create some fake ticks', function() {
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var axisAutoscale = ctx.plotOptions.yaxes[0];
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expect(axisAutoscale.transform(100)).toBe(2);
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expect(axisAutoscale.inverseTransform(-3)).toBeCloseTo(0.001);
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expect(axisAutoscale.min).toBe(undefined);
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expect(axisAutoscale.max).toBe(undefined);
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expect(axisAutoscale.ticks.length).toBe(2);
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expect(axisAutoscale.ticks[0]).toBe(1);
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expect(axisAutoscale.ticks[1]).toBe(2);
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});
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});
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// y-min set 0 is a special case for log scale,
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// this approximates it by setting min to 0.1
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describe('when logBase is log 10 and y-min is set to 0 and auto min is > 0.1', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.yaxes[0].logBase = 10;
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ctrl.panel.yaxes[0].min = '0';
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ctx.data[0] = new TimeSeries({
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datapoints: [[2000, 1], [4, 2], [500, 3], [3000, 4]],
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alias: 'seriesAutoscale',
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});
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ctx.data[0].yaxis = 1;
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});
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});
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it('should set min to 0.1 and add a tick for 0.1', function() {
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var axisAutoscale = ctx.plotOptions.yaxes[0];
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expect(axisAutoscale.transform(100)).toBe(2);
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expect(axisAutoscale.inverseTransform(-3)).toBeCloseTo(0.001);
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expect(axisAutoscale.min).toBe(0.1);
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expect(axisAutoscale.max).toBe(10000);
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expect(axisAutoscale.ticks.length).toBe(6);
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expect(axisAutoscale.ticks[0]).toBe(0.1);
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expect(axisAutoscale.ticks[5]).toBe(10000);
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});
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});
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describe('when logBase is log 2 and y-min is set to 0 and num of ticks exceeds max', () => {
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beforeEach(() => {
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setupCtx(() => {
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const heightForApprox5Ticks = 125;
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ctrl.height = heightForApprox5Ticks;
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ctrl.panel.yaxes[0].logBase = 2;
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ctrl.panel.yaxes[0].min = '0';
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ctx.data[0] = new TimeSeries({
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datapoints: [[2000, 1], [4, 2], [500, 3], [3000, 4], [10000, 5], [100000, 6]],
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alias: 'seriesAutoscale',
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});
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ctx.data[0].yaxis = 1;
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});
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});
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it('should regenerate ticks so that if fits on the y-axis', function() {
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var axisAutoscale = ctx.plotOptions.yaxes[0];
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expect(axisAutoscale.min).toBe(0.1);
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expect(axisAutoscale.ticks.length).toBe(8);
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expect(axisAutoscale.ticks[0]).toBe(0.1);
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expect(axisAutoscale.ticks[7]).toBe(262144);
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expect(axisAutoscale.max).toBe(262144);
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});
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it('should set axis max to be max tick value', function() {
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expect(ctx.plotOptions.yaxes[0].max).toBe(262144);
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});
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});
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describe('dashed lines options', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.lines = true;
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ctrl.panel.linewidth = 2;
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ctrl.panel.dashes = true;
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});
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});
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it('should configure dashed plot with correct options', function() {
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expect(ctx.plotOptions.series.lines.show).toBe(true);
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expect(ctx.plotOptions.series.dashes.lineWidth).toBe(2);
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expect(ctx.plotOptions.series.dashes.show).toBe(true);
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});
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});
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describe('should use timeStep for barWidth', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.bars = true;
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ctx.data[0] = new TimeSeries({
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datapoints: [[1, 10], [2, 20]],
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alias: 'series1',
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});
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});
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});
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it('should set barWidth', function() {
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expect(ctx.plotOptions.series.bars.barWidth).toBe(1 / 1.5);
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});
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});
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describe('series option overrides, fill & points', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.lines = true;
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ctrl.panel.fill = 5;
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ctx.data[0].zindex = 10;
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ctx.data[1].alias = 'test';
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ctx.data[1].lines = { fill: 0.001 };
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ctx.data[1].points = { show: true };
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});
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});
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it('should match second series and fill zero, and enable points', function() {
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expect(ctx.plotOptions.series.lines.fill).toBe(0.5);
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expect(ctx.plotData[1].lines.fill).toBe(0.001);
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expect(ctx.plotData[1].points.show).toBe(true);
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});
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});
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describe('should order series order according to zindex', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctx.data[1].zindex = 1;
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ctx.data[0].zindex = 10;
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});
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});
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it('should move zindex 2 last', function() {
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expect(ctx.plotData[0].alias).toBe('series2');
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expect(ctx.plotData[1].alias).toBe('series1');
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});
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});
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describe('when series is hidden', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.hiddenSeries = { series2: true };
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});
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});
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it('should remove datapoints and disable stack', function() {
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expect(ctx.plotData[0].alias).toBe('series1');
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expect(ctx.plotData[1].data.length).toBe(0);
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expect(ctx.plotData[1].stack).toBe(false);
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});
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});
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describe('when stack and percent', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.percentage = true;
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ctrl.panel.stack = true;
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});
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});
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it('should show percentage', function() {
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var axis = ctx.plotOptions.yaxes[0];
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expect(axis.tickFormatter(100, axis)).toBe('100%');
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});
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});
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describe('when panel too narrow to show x-axis dates in same granularity as wide panels', () => {
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//Set width to 10px
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describe('and the range is less than 24 hours', function() {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.range.from = moment([2015, 1, 1, 10]);
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ctrl.range.to = moment([2015, 1, 1, 22]);
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});
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});
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it('should format dates as hours minutes', function() {
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var axis = ctx.plotOptions.xaxis;
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expect(axis.timeformat).toBe('%H:%M');
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});
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});
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describe('and the range is less than one year', function() {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.range.from = moment([2015, 1, 1]);
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ctrl.range.to = moment([2015, 11, 20]);
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});
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});
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it('should format dates as month days', function() {
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var axis = ctx.plotOptions.xaxis;
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expect(axis.timeformat).toBe('%m/%d');
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});
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});
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});
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describe('when graph is histogram, and enable stack', () => {
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beforeEach(() => {
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setupCtx(() => {
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ctrl.panel.xaxis.mode = 'histogram';
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ctrl.panel.stack = true;
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ctrl.hiddenSeries = {};
|
||||
ctx.data[0] = new TimeSeries({
|
||||
datapoints: [[100, 1], [100, 2], [200, 3], [300, 4]],
|
||||
alias: 'series1',
|
||||
});
|
||||
ctx.data[1] = new TimeSeries({
|
||||
datapoints: [[100, 1], [100, 2], [200, 3], [300, 4]],
|
||||
alias: 'series2',
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
it('should calculate correct histogram', function() {
|
||||
expect(ctx.plotData[0].data[0][0]).toBe(100);
|
||||
expect(ctx.plotData[0].data[0][1]).toBe(2);
|
||||
expect(ctx.plotData[1].data[0][0]).toBe(100);
|
||||
expect(ctx.plotData[1].data[0][1]).toBe(2);
|
||||
});
|
||||
});
|
||||
|
||||
describe('when graph is histogram, and some series are hidden', () => {
|
||||
beforeEach(() => {
|
||||
setupCtx(() => {
|
||||
ctrl.panel.xaxis.mode = 'histogram';
|
||||
ctrl.panel.stack = false;
|
||||
ctrl.hiddenSeries = { series2: true };
|
||||
ctx.data[0] = new TimeSeries({
|
||||
datapoints: [[100, 1], [100, 2], [200, 3], [300, 4]],
|
||||
alias: 'series1',
|
||||
});
|
||||
ctx.data[1] = new TimeSeries({
|
||||
datapoints: [[100, 1], [100, 2], [200, 3], [300, 4]],
|
||||
alias: 'series2',
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
it('should calculate correct histogram', function() {
|
||||
expect(ctx.plotData[0].data[0][0]).toBe(100);
|
||||
expect(ctx.plotData[0].data[0][1]).toBe(2);
|
||||
});
|
||||
});
|
||||
});
|
||||
@ -1,454 +0,0 @@
|
||||
import { describe, beforeEach, it, sinon, expect, angularMocks } from '../../../../../test/lib/common';
|
||||
|
||||
import '../module';
|
||||
import angular from 'angular';
|
||||
import $ from 'jquery';
|
||||
import helpers from 'test/specs/helpers';
|
||||
import TimeSeries from 'app/core/time_series2';
|
||||
import moment from 'moment';
|
||||
import { Emitter } from 'app/core/core';
|
||||
|
||||
describe('grafanaGraph', function() {
|
||||
beforeEach(angularMocks.module('grafana.core'));
|
||||
|
||||
function graphScenario(desc, func, elementWidth = 500) {
|
||||
describe(desc, () => {
|
||||
var ctx: any = {};
|
||||
|
||||
ctx.setup = setupFunc => {
|
||||
beforeEach(
|
||||
angularMocks.module($provide => {
|
||||
$provide.value('timeSrv', new helpers.TimeSrvStub());
|
||||
})
|
||||
);
|
||||
|
||||
beforeEach(
|
||||
angularMocks.inject(($rootScope, $compile) => {
|
||||
var ctrl: any = {
|
||||
height: 200,
|
||||
panel: {
|
||||
events: new Emitter(),
|
||||
legend: {},
|
||||
grid: {},
|
||||
yaxes: [
|
||||
{
|
||||
min: null,
|
||||
max: null,
|
||||
format: 'short',
|
||||
logBase: 1,
|
||||
},
|
||||
{
|
||||
min: null,
|
||||
max: null,
|
||||
format: 'short',
|
||||
logBase: 1,
|
||||
},
|
||||
],
|
||||
thresholds: [],
|
||||
xaxis: {},
|
||||
seriesOverrides: [],
|
||||
tooltip: {
|
||||
shared: true,
|
||||
},
|
||||
},
|
||||
renderingCompleted: sinon.spy(),
|
||||
hiddenSeries: {},
|
||||
dashboard: {
|
||||
getTimezone: sinon.stub().returns('browser'),
|
||||
},
|
||||
range: {
|
||||
from: moment([2015, 1, 1, 10]),
|
||||
to: moment([2015, 1, 1, 22]),
|
||||
},
|
||||
};
|
||||
|
||||
var scope = $rootScope.$new();
|
||||
scope.ctrl = ctrl;
|
||||
scope.ctrl.events = ctrl.panel.events;
|
||||
|
||||
$rootScope.onAppEvent = sinon.spy();
|
||||
|
||||
ctx.data = [];
|
||||
ctx.data.push(
|
||||
new TimeSeries({
|
||||
datapoints: [[1, 1], [2, 2]],
|
||||
alias: 'series1',
|
||||
})
|
||||
);
|
||||
ctx.data.push(
|
||||
new TimeSeries({
|
||||
datapoints: [[10, 1], [20, 2]],
|
||||
alias: 'series2',
|
||||
})
|
||||
);
|
||||
|
||||
setupFunc(ctrl, ctx.data);
|
||||
|
||||
var element = angular.element("<div style='width:" + elementWidth + "px' grafana-graph><div>");
|
||||
$compile(element)(scope);
|
||||
scope.$digest();
|
||||
|
||||
$.plot = ctx.plotSpy = sinon.spy();
|
||||
ctrl.events.emit('render', ctx.data);
|
||||
ctrl.events.emit('render-legend');
|
||||
ctrl.events.emit('legend-rendering-complete');
|
||||
ctx.plotData = ctx.plotSpy.getCall(0).args[1];
|
||||
ctx.plotOptions = ctx.plotSpy.getCall(0).args[2];
|
||||
})
|
||||
);
|
||||
};
|
||||
|
||||
func(ctx);
|
||||
});
|
||||
}
|
||||
|
||||
graphScenario('simple lines options', ctx => {
|
||||
ctx.setup(ctrl => {
|
||||
ctrl.panel.lines = true;
|
||||
ctrl.panel.fill = 5;
|
||||
ctrl.panel.linewidth = 3;
|
||||
ctrl.panel.steppedLine = true;
|
||||
});
|
||||
|
||||
it('should configure plot with correct options', () => {
|
||||
expect(ctx.plotOptions.series.lines.show).to.be(true);
|
||||
expect(ctx.plotOptions.series.lines.fill).to.be(0.5);
|
||||
expect(ctx.plotOptions.series.lines.lineWidth).to.be(3);
|
||||
expect(ctx.plotOptions.series.lines.steps).to.be(true);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('sorting stacked series as legend. disabled', ctx => {
|
||||
ctx.setup(ctrl => {
|
||||
ctrl.panel.legend.sort = undefined;
|
||||
ctrl.panel.stack = false;
|
||||
});
|
||||
|
||||
it('should not modify order of time series', () => {
|
||||
expect(ctx.plotData[0].alias).to.be('series1');
|
||||
expect(ctx.plotData[1].alias).to.be('series2');
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('sorting stacked series as legend. min descending order', ctx => {
|
||||
ctx.setup(ctrl => {
|
||||
ctrl.panel.legend.sort = 'min';
|
||||
ctrl.panel.legend.sortDesc = true;
|
||||
ctrl.panel.stack = true;
|
||||
});
|
||||
|
||||
it('highest value should be first', () => {
|
||||
expect(ctx.plotData[0].alias).to.be('series2');
|
||||
expect(ctx.plotData[1].alias).to.be('series1');
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('sorting stacked series as legend. min ascending order', ctx => {
|
||||
ctx.setup((ctrl, data) => {
|
||||
ctrl.panel.legend.sort = 'min';
|
||||
ctrl.panel.legend.sortDesc = false;
|
||||
ctrl.panel.stack = true;
|
||||
});
|
||||
|
||||
it('lowest value should be first', () => {
|
||||
expect(ctx.plotData[0].alias).to.be('series1');
|
||||
expect(ctx.plotData[1].alias).to.be('series2');
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('sorting stacked series as legend. stacking disabled', ctx => {
|
||||
ctx.setup(ctrl => {
|
||||
ctrl.panel.legend.sort = 'min';
|
||||
ctrl.panel.legend.sortDesc = true;
|
||||
ctrl.panel.stack = false;
|
||||
});
|
||||
|
||||
it('highest value should be first', () => {
|
||||
expect(ctx.plotData[0].alias).to.be('series1');
|
||||
expect(ctx.plotData[1].alias).to.be('series2');
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('sorting stacked series as legend. current descending order', ctx => {
|
||||
ctx.setup(ctrl => {
|
||||
ctrl.panel.legend.sort = 'current';
|
||||
ctrl.panel.legend.sortDesc = true;
|
||||
ctrl.panel.stack = true;
|
||||
});
|
||||
|
||||
it('highest last value should be first', () => {
|
||||
expect(ctx.plotData[0].alias).to.be('series2');
|
||||
expect(ctx.plotData[1].alias).to.be('series1');
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('when logBase is log 10', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
ctrl.panel.yaxes[0].logBase = 10;
|
||||
data[0] = new TimeSeries({
|
||||
datapoints: [[2000, 1], [0.002, 2], [0, 3], [-1, 4]],
|
||||
alias: 'seriesAutoscale',
|
||||
});
|
||||
data[0].yaxis = 1;
|
||||
ctrl.panel.yaxes[1].logBase = 10;
|
||||
ctrl.panel.yaxes[1].min = '0.05';
|
||||
ctrl.panel.yaxes[1].max = '1500';
|
||||
data[1] = new TimeSeries({
|
||||
datapoints: [[2000, 1], [0.002, 2], [0, 3], [-1, 4]],
|
||||
alias: 'seriesFixedscale',
|
||||
});
|
||||
data[1].yaxis = 2;
|
||||
});
|
||||
|
||||
it('should apply axis transform, autoscaling (if necessary) and ticks', function() {
|
||||
var axisAutoscale = ctx.plotOptions.yaxes[0];
|
||||
expect(axisAutoscale.transform(100)).to.be(2);
|
||||
expect(axisAutoscale.inverseTransform(-3)).to.within(0.00099999999, 0.00100000001);
|
||||
expect(axisAutoscale.min).to.within(0.00099999999, 0.00100000001);
|
||||
expect(axisAutoscale.max).to.be(10000);
|
||||
expect(axisAutoscale.ticks.length).to.within(7, 8);
|
||||
expect(axisAutoscale.ticks[0]).to.within(0.00099999999, 0.00100000001);
|
||||
if (axisAutoscale.ticks.length === 7) {
|
||||
expect(axisAutoscale.ticks[axisAutoscale.ticks.length - 1]).to.within(999.9999, 1000.0001);
|
||||
} else {
|
||||
expect(axisAutoscale.ticks[axisAutoscale.ticks.length - 1]).to.be(10000);
|
||||
}
|
||||
|
||||
var axisFixedscale = ctx.plotOptions.yaxes[1];
|
||||
expect(axisFixedscale.min).to.be(0.05);
|
||||
expect(axisFixedscale.max).to.be(1500);
|
||||
expect(axisFixedscale.ticks.length).to.be(5);
|
||||
expect(axisFixedscale.ticks[0]).to.be(0.1);
|
||||
expect(axisFixedscale.ticks[4]).to.be(1000);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('when logBase is log 10 and data points contain only zeroes', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
ctrl.panel.yaxes[0].logBase = 10;
|
||||
data[0] = new TimeSeries({
|
||||
datapoints: [[0, 1], [0, 2], [0, 3], [0, 4]],
|
||||
alias: 'seriesAutoscale',
|
||||
});
|
||||
data[0].yaxis = 1;
|
||||
});
|
||||
|
||||
it('should not set min and max and should create some fake ticks', function() {
|
||||
var axisAutoscale = ctx.plotOptions.yaxes[0];
|
||||
expect(axisAutoscale.transform(100)).to.be(2);
|
||||
expect(axisAutoscale.inverseTransform(-3)).to.within(0.00099999999, 0.00100000001);
|
||||
expect(axisAutoscale.min).to.be(undefined);
|
||||
expect(axisAutoscale.max).to.be(undefined);
|
||||
expect(axisAutoscale.ticks.length).to.be(2);
|
||||
expect(axisAutoscale.ticks[0]).to.be(1);
|
||||
expect(axisAutoscale.ticks[1]).to.be(2);
|
||||
});
|
||||
});
|
||||
|
||||
// y-min set 0 is a special case for log scale,
|
||||
// this approximates it by setting min to 0.1
|
||||
graphScenario('when logBase is log 10 and y-min is set to 0 and auto min is > 0.1', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
ctrl.panel.yaxes[0].logBase = 10;
|
||||
ctrl.panel.yaxes[0].min = '0';
|
||||
data[0] = new TimeSeries({
|
||||
datapoints: [[2000, 1], [4, 2], [500, 3], [3000, 4]],
|
||||
alias: 'seriesAutoscale',
|
||||
});
|
||||
data[0].yaxis = 1;
|
||||
});
|
||||
|
||||
it('should set min to 0.1 and add a tick for 0.1', function() {
|
||||
var axisAutoscale = ctx.plotOptions.yaxes[0];
|
||||
expect(axisAutoscale.transform(100)).to.be(2);
|
||||
expect(axisAutoscale.inverseTransform(-3)).to.within(0.00099999999, 0.00100000001);
|
||||
expect(axisAutoscale.min).to.be(0.1);
|
||||
expect(axisAutoscale.max).to.be(10000);
|
||||
expect(axisAutoscale.ticks.length).to.be(6);
|
||||
expect(axisAutoscale.ticks[0]).to.be(0.1);
|
||||
expect(axisAutoscale.ticks[5]).to.be(10000);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('when logBase is log 2 and y-min is set to 0 and num of ticks exceeds max', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
const heightForApprox5Ticks = 125;
|
||||
ctrl.height = heightForApprox5Ticks;
|
||||
ctrl.panel.yaxes[0].logBase = 2;
|
||||
ctrl.panel.yaxes[0].min = '0';
|
||||
data[0] = new TimeSeries({
|
||||
datapoints: [[2000, 1], [4, 2], [500, 3], [3000, 4], [10000, 5], [100000, 6]],
|
||||
alias: 'seriesAutoscale',
|
||||
});
|
||||
data[0].yaxis = 1;
|
||||
});
|
||||
|
||||
it('should regenerate ticks so that if fits on the y-axis', function() {
|
||||
var axisAutoscale = ctx.plotOptions.yaxes[0];
|
||||
expect(axisAutoscale.min).to.be(0.1);
|
||||
expect(axisAutoscale.ticks.length).to.be(8);
|
||||
expect(axisAutoscale.ticks[0]).to.be(0.1);
|
||||
expect(axisAutoscale.ticks[7]).to.be(262144);
|
||||
expect(axisAutoscale.max).to.be(262144);
|
||||
});
|
||||
|
||||
it('should set axis max to be max tick value', function() {
|
||||
expect(ctx.plotOptions.yaxes[0].max).to.be(262144);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('dashed lines options', function(ctx) {
|
||||
ctx.setup(function(ctrl) {
|
||||
ctrl.panel.lines = true;
|
||||
ctrl.panel.linewidth = 2;
|
||||
ctrl.panel.dashes = true;
|
||||
});
|
||||
|
||||
it('should configure dashed plot with correct options', function() {
|
||||
expect(ctx.plotOptions.series.lines.show).to.be(true);
|
||||
expect(ctx.plotOptions.series.dashes.lineWidth).to.be(2);
|
||||
expect(ctx.plotOptions.series.dashes.show).to.be(true);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('should use timeStep for barWidth', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
ctrl.panel.bars = true;
|
||||
data[0] = new TimeSeries({
|
||||
datapoints: [[1, 10], [2, 20]],
|
||||
alias: 'series1',
|
||||
});
|
||||
});
|
||||
|
||||
it('should set barWidth', function() {
|
||||
expect(ctx.plotOptions.series.bars.barWidth).to.be(1 / 1.5);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('series option overrides, fill & points', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
ctrl.panel.lines = true;
|
||||
ctrl.panel.fill = 5;
|
||||
data[0].zindex = 10;
|
||||
data[1].alias = 'test';
|
||||
data[1].lines = { fill: 0.001 };
|
||||
data[1].points = { show: true };
|
||||
});
|
||||
|
||||
it('should match second series and fill zero, and enable points', function() {
|
||||
expect(ctx.plotOptions.series.lines.fill).to.be(0.5);
|
||||
expect(ctx.plotData[1].lines.fill).to.be(0.001);
|
||||
expect(ctx.plotData[1].points.show).to.be(true);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('should order series order according to zindex', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
data[1].zindex = 1;
|
||||
data[0].zindex = 10;
|
||||
});
|
||||
|
||||
it('should move zindex 2 last', function() {
|
||||
expect(ctx.plotData[0].alias).to.be('series2');
|
||||
expect(ctx.plotData[1].alias).to.be('series1');
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('when series is hidden', function(ctx) {
|
||||
ctx.setup(function(ctrl) {
|
||||
ctrl.hiddenSeries = { series2: true };
|
||||
});
|
||||
|
||||
it('should remove datapoints and disable stack', function() {
|
||||
expect(ctx.plotData[0].alias).to.be('series1');
|
||||
expect(ctx.plotData[1].data.length).to.be(0);
|
||||
expect(ctx.plotData[1].stack).to.be(false);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('when stack and percent', function(ctx) {
|
||||
ctx.setup(function(ctrl) {
|
||||
ctrl.panel.percentage = true;
|
||||
ctrl.panel.stack = true;
|
||||
});
|
||||
|
||||
it('should show percentage', function() {
|
||||
var axis = ctx.plotOptions.yaxes[0];
|
||||
expect(axis.tickFormatter(100, axis)).to.be('100%');
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario(
|
||||
'when panel too narrow to show x-axis dates in same granularity as wide panels',
|
||||
function(ctx) {
|
||||
describe('and the range is less than 24 hours', function() {
|
||||
ctx.setup(function(ctrl) {
|
||||
ctrl.range.from = moment([2015, 1, 1, 10]);
|
||||
ctrl.range.to = moment([2015, 1, 1, 22]);
|
||||
});
|
||||
|
||||
it('should format dates as hours minutes', function() {
|
||||
var axis = ctx.plotOptions.xaxis;
|
||||
expect(axis.timeformat).to.be('%H:%M');
|
||||
});
|
||||
});
|
||||
|
||||
describe('and the range is less than one year', function() {
|
||||
ctx.setup(function(scope) {
|
||||
scope.range.from = moment([2015, 1, 1]);
|
||||
scope.range.to = moment([2015, 11, 20]);
|
||||
});
|
||||
|
||||
it('should format dates as month days', function() {
|
||||
var axis = ctx.plotOptions.xaxis;
|
||||
expect(axis.timeformat).to.be('%m/%d');
|
||||
});
|
||||
});
|
||||
},
|
||||
10
|
||||
);
|
||||
|
||||
graphScenario('when graph is histogram, and enable stack', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
ctrl.panel.xaxis.mode = 'histogram';
|
||||
ctrl.panel.stack = true;
|
||||
ctrl.hiddenSeries = {};
|
||||
data[0] = new TimeSeries({
|
||||
datapoints: [[100, 1], [100, 2], [200, 3], [300, 4]],
|
||||
alias: 'series1',
|
||||
});
|
||||
data[1] = new TimeSeries({
|
||||
datapoints: [[100, 1], [100, 2], [200, 3], [300, 4]],
|
||||
alias: 'series2',
|
||||
});
|
||||
});
|
||||
|
||||
it('should calculate correct histogram', function() {
|
||||
expect(ctx.plotData[0].data[0][0]).to.be(100);
|
||||
expect(ctx.plotData[0].data[0][1]).to.be(2);
|
||||
expect(ctx.plotData[1].data[0][0]).to.be(100);
|
||||
expect(ctx.plotData[1].data[0][1]).to.be(2);
|
||||
});
|
||||
});
|
||||
|
||||
graphScenario('when graph is histogram, and some series are hidden', function(ctx) {
|
||||
ctx.setup(function(ctrl, data) {
|
||||
ctrl.panel.xaxis.mode = 'histogram';
|
||||
ctrl.panel.stack = false;
|
||||
ctrl.hiddenSeries = { series2: true };
|
||||
data[0] = new TimeSeries({
|
||||
datapoints: [[100, 1], [100, 2], [200, 3], [300, 4]],
|
||||
alias: 'series1',
|
||||
});
|
||||
data[1] = new TimeSeries({
|
||||
datapoints: [[100, 1], [100, 2], [200, 3], [300, 4]],
|
||||
alias: 'series2',
|
||||
});
|
||||
});
|
||||
|
||||
it('should calculate correct histogram', function() {
|
||||
expect(ctx.plotData[0].data[0][0]).to.be(100);
|
||||
expect(ctx.plotData[0].data[0][1]).to.be(2);
|
||||
});
|
||||
});
|
||||
});
|
||||
Loading…
Reference in New Issue
Block a user