energylink/public/app/plugins/panel/graph/specs/graph_specs.ts

///<reference path="../../../../headers/common.d.ts" />

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
  );
});