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further tests for log-autoscale and log-fixedscale; only generate visible ticks; minor changes to prevent crashes due to bad user input
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@ -376,6 +376,9 @@ function (angular, $, moment, _, kbn, GraphTooltip) {
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if (axis.min < Number.MIN_VALUE) {
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axis.min = null;
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}
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if (axis.max < Number.MIN_VALUE) {
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axis.max = null;
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}
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var series, i;
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var max = axis.max, min = axis.min;
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@ -392,23 +395,32 @@ function (angular, $, moment, _, kbn, GraphTooltip) {
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}
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}
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if (max === null && min === null) {
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max = Math.pow(axis.logBase,+2);
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min = Math.pow(axis.logBase,-2);
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} else if (max === null) {
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max = min*Math.pow(axis.logBase,+4);
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} else if (min === null) {
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min = max*Math.pow(axis.logBase,-4);
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}
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axis.transform = function(v) { return (v < Number.MIN_VALUE) ? null : Math.log(v) / Math.log(axis.logBase); };
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axis.inverseTransform = function (v) { return Math.pow(axis.logBase,v); };
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min = axis.inverseTransform(Math.floor(axis.transform(min)));
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max = axis.inverseTransform(Math.ceil(axis.transform(max)));
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if (max === null && min === null) {
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max = axis.inverseTransform(+2);
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min = axis.inverseTransform(-2);
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} else if (max === null) {
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max = min*axis.inverseTransform(+4);
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} else if (min === null) {
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min = max*axis.inverseTransform(-4);
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}
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axis.min = axis.min !== null ? axis.min : min;
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axis.max = axis.max !== null ? axis.max : max;
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if (axis.min !== null) {
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min = axis.inverseTransform(Math.ceil(axis.transform(axis.min)));
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} else {
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min = axis.min = axis.inverseTransform(Math.floor(axis.transform(min)));
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}
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if (axis.max !== null) {
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max = axis.inverseTransform(Math.floor(axis.transform(axis.max)));
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} else {
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max = axis.max = axis.inverseTransform(Math.ceil(axis.transform(max)));
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}
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if (min < Number.MIN_VALUE || max < Number.MIN_VALUE) {
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return;
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}
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axis.ticks = [];
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var nextTick;
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@ -166,15 +166,38 @@ describe('grafanaGraph', function() {
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});
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graphScenario('when logBase is log 10', function(ctx) {
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ctx.setup(function(ctrl) {
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ctx.setup(function(ctrl, data) {
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ctrl.panel.yaxes[0].logBase = 10;
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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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data[0].yaxis = 1;
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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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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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data[1].yaxis = 2;
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});
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it('should apply axis transform and ticks', function() {
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var axis = ctx.plotOptions.yaxes[0];
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expect(axis.transform(100)).to.be(Math.log(100)/Math.log(10));
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expect(axis.ticks[0]).to.be(0.01);
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expect(axis.ticks[1]).to.be(0.1);
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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)).to.be(2);
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expect(axisAutoscale.inverseTransform(-3)).to.be(0.001);
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expect(axisAutoscale.min).to.be(0.001);
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expect(axisAutoscale.max).to.be(10000);
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expect(axisAutoscale.ticks.length).to.be(8);
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expect(axisAutoscale.ticks[0]).to.be(0.001);
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expect(axisAutoscale.ticks[7]).to.be(10000);
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var axisFixedscale = ctx.plotOptions.yaxes[1];
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expect(axisFixedscale.min).to.be(0.05);
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expect(axisFixedscale.max).to.be(1500);
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expect(axisFixedscale.ticks.length).to.be(5);
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expect(axisFixedscale.ticks[0]).to.be(0.1);
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expect(axisFixedscale.ticks[4]).to.be(1000);
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});
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});
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