mirror of
https://github.com/grafana/grafana.git
synced 2025-02-25 18:55:37 -06:00
1a0c1a39e4
* added moment timezone package. * added a qnd way of selecting timezone. * added a first draft to display how it can be used. * fixed failing tests. * made moment.local to be in utc when running tests. * added tests to verify that the timeZone support works as expected. * Fixed so we use the formatter in the graph context menu. * changed so we will format d3 according to timeZone. * changed from class base to function based for easier consumption. * fixed so tests got green. * renamed to make it shorter. * fixed formatting in logRow. * removed unused value. * added time formatter to flot. * fixed failing tests. * changed so history will use the formatting with support for timezone. * added todo. * added so we append the correct abbrivation behind time. * added time zone abbrevation in timepicker. * adding timezone in rangeutil tool. * will use timezone when formatting range. * changed so we use new functions to format date so timezone is respected. * wip - dashboard settings. * changed so the time picker settings is in react. * added force update. * wip to get the react graph to work. * fixed formatting and parsing on the timepicker. * updated snap to be correct. * fixed so we format values properly in time picker. * make sure we pass timezone on all the proper places. * fixed so we use correct timeZone in explore. * fixed failing tests. * fixed so we always parse from local to selected timezone. * removed unused variable. * reverted back. * trying to fix issue with directive. * fixed issue. * fixed strict null errors. * fixed so we still can select default. * make sure we reads the time zone from getTimezone
1290 lines
33 KiB
TypeScript
1290 lines
33 KiB
TypeScript
jest.mock('app/features/annotations/all', () => ({
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EventManager: () => {
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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 $ from 'jquery';
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import { graphDirective } from '../graph';
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import { dateTime } from '@grafana/data';
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const ctx = {} as any;
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let ctrl: any;
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const scope = {
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ctrl: {},
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range: {
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from: dateTime([2015, 1, 1]),
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to: dateTime([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', () => {
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const setupCtx = (beforeRender?: any) => {
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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 = {
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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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emit: () => {},
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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: dateTime([2015, 1, 1, 10]),
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to: dateTime([2015, 1, 1, 22]),
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},
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annotationsSrv: {
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getAnnotations: () => Promise.resolve({}),
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},
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} as any;
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ctx.data = [];
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ctx.data.push(
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new TimeSeries({
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datapoints: [
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[1, 1],
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[2, 2],
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],
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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: [
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[10, 1],
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[20, 2],
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],
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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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} as any,
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{} as any
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);
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// @ts-ignore
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$.plot = ctrl.plot = jest.fn();
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scope.ctrl = ctrl;
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link = graphDirective({} as any, {}, {} as any).link(scope, {
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width: () => 500,
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mouseleave: () => {},
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bind: () => {},
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} as any);
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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.renderPanel();
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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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const sortKey = 'min';
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ctrl.panel.legend.sort = sortKey;
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ctrl.panel.legend.sortDesc = true;
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ctrl.panel.legend.alignAsTable = true;
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ctrl.panel.legend[sortKey] = 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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const sortKey = 'current';
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ctrl.panel.legend.sort = sortKey;
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ctrl.panel.legend.sortDesc = true;
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ctrl.panel.legend.alignAsTable = true;
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ctrl.panel.legend[sortKey] = 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('stacked series should not sort if legend is not as table or sort key column is not visible', () => {
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beforeEach(() => {
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setupCtx(() => {
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const sortKey = 'min';
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ctrl.panel.legend.sort = sortKey;
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ctrl.panel.legend.sortDesc = true;
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ctrl.panel.legend.alignAsTable = false;
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ctrl.panel.legend[sortKey] = false;
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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('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('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: [
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[2000, 1],
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[0.002, 2],
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[0, 3],
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[-1, 4],
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],
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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: [
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[2000, 1],
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[0.002, 2],
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[0, 3],
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[-1, 4],
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],
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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', () => {
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const 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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const 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: [
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[0, 1],
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[0, 2],
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[0, 3],
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[0, 4],
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],
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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', () => {
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const 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: [
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[2000, 1],
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[4, 2],
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[500, 3],
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[3000, 4],
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],
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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', () => {
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const 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: [
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[2000, 1],
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[4, 2],
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[500, 3],
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[3000, 4],
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[10000, 5],
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[100000, 6],
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],
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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', () => {
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const 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', () => {
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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', () => {
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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: [
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[1, 10],
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[2, 20],
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],
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alias: 'series1',
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});
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});
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});
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|
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it('should set barWidth', () => {
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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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|
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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;
|
|
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', () => {
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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);
|
|
});
|
|
});
|
|
|
|
describe('should order series order according to zindex', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
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|
ctx.data[1].zindex = 1;
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|
ctx.data[0].zindex = 10;
|
|
});
|
|
});
|
|
|
|
it('should move zindex 2 last', () => {
|
|
expect(ctx.plotData[0].alias).toBe('series2');
|
|
expect(ctx.plotData[1].alias).toBe('series1');
|
|
});
|
|
});
|
|
|
|
describe('when series is hidden', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.hiddenSeries = { series2: true };
|
|
});
|
|
});
|
|
|
|
it('should remove datapoints and disable stack', () => {
|
|
expect(ctx.plotData[0].alias).toBe('series1');
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|
expect(ctx.plotData[1].data.length).toBe(0);
|
|
expect(ctx.plotData[1].stack).toBe(false);
|
|
});
|
|
});
|
|
|
|
describe('when stack and percent', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.percentage = true;
|
|
ctrl.panel.stack = true;
|
|
});
|
|
});
|
|
|
|
it('should show percentage', () => {
|
|
const axis = ctx.plotOptions.yaxes[0];
|
|
expect(axis.tickFormatter(100, axis)).toBe('100%');
|
|
});
|
|
});
|
|
|
|
describe('when panel too narrow to show x-axis dates in same granularity as wide panels', () => {
|
|
//Set width to 10px
|
|
describe('and the range is less than 24 hours', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.range.from = dateTime([2015, 1, 1, 10]);
|
|
ctrl.range.to = dateTime([2015, 1, 1, 22]);
|
|
});
|
|
});
|
|
|
|
it('should format dates as hours minutes', () => {
|
|
const axis = ctx.plotOptions.xaxis;
|
|
expect(axis.timeformat).toBe('HH:mm');
|
|
});
|
|
});
|
|
|
|
describe('and the range is less than one year', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.range.from = dateTime([2015, 1, 1]);
|
|
ctrl.range.to = dateTime([2015, 11, 20]);
|
|
});
|
|
});
|
|
|
|
it('should format dates as month days', () => {
|
|
const axis = ctx.plotOptions.xaxis;
|
|
expect(axis.timeformat).toBe('MM/DD');
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and enable stack', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.stack = true;
|
|
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', () => {
|
|
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', () => {
|
|
expect(ctx.plotData[0].data[0][0]).toBe(100);
|
|
expect(ctx.plotData[0].data[0][1]).toBe(2);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min is set', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = 150;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should not contain values lower than min', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(200);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min is zero', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = 0;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[-100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should not contain values lower than zero', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min is null', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = null;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[-100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis min should not affect the histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(-100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min is undefined', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = undefined;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[-100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis min should not affect the histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(-100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis max is set', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.max = 250;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should not contain values greater than max', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(200);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis max is zero', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.max = 0;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[-100, 1],
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should not contain values greater than zero', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(-100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(-100);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis max is null', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.max = null;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[-100, 1],
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis max should not affect the histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(-100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis max is undefined', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.max = undefined;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[-100, 1],
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis max should not should node affect the histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(-100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min and max are set', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = 150;
|
|
ctrl.panel.xaxis.max = 250;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should not contain values lower than min and greater than max', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(200);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(200);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min and max are zero', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = 0;
|
|
ctrl.panel.xaxis.max = 0;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[-100, 1],
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis max should be ignored otherwise the bucketSize is zero', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min and max are null', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = null;
|
|
ctrl.panel.xaxis.max = null;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis min and max should not affect the histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min and max are undefined', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = undefined;
|
|
ctrl.panel.xaxis.max = undefined;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis min and max should not affect the histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min is greater than xaxis max', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = 150;
|
|
ctrl.panel.xaxis.max = 100;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis max should be ignored otherwise the bucketSize is negative', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(200);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
// aaa
|
|
describe('when graph is histogram, and xaxis min is greater than the maximum value', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = 301;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis min should be ignored otherwise the bucketSize is negative', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min is equal to the maximum value', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = 300;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis min should be ignored otherwise the bucketSize is zero', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis min is lower than the minimum value', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.min = 99;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('xaxis min should not affect the histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis max is equal to the minimum value', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.max = 100;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should calculate correct histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis max is a lower than the minimum value', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.max = 99;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should calculate empty histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(nonZero.length).toBe(0);
|
|
});
|
|
});
|
|
|
|
describe('when graph is histogram, and xaxis max is greater than the maximum value', () => {
|
|
beforeEach(() => {
|
|
setupCtx(() => {
|
|
ctrl.panel.xaxis.mode = 'histogram';
|
|
ctrl.panel.xaxis.max = 301;
|
|
ctrl.panel.stack = false;
|
|
ctrl.hiddenSeries = {};
|
|
ctx.data[0] = new TimeSeries({
|
|
datapoints: [
|
|
[100, 1],
|
|
[100, 2],
|
|
[200, 3],
|
|
[300, 4],
|
|
],
|
|
alias: 'series1',
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should calculate correct histogram', () => {
|
|
const nonZero = ctx.plotData[0].data.filter((t: number[]) => t[1] > 0);
|
|
expect(
|
|
Math.min.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(100);
|
|
expect(
|
|
Math.max.apply(
|
|
Math,
|
|
nonZero.map((t: number[]) => t[0])
|
|
)
|
|
).toBe(300);
|
|
});
|
|
});
|
|
});
|