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Backshift.Utilities.Consolidator.Test.js
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/**
* Created by fooker on 2016-11-16.
*/
describe('Backshift.Utilities.Consolidator', function () {
var consolidator = new Backshift.Utilities.Consolidator();
var ts = Date.now() - 7 * 24 * 60 * 60 * 1000; // A week ago
describe('.parse', function () {
it('should parse expressions without an argument', function () {
var cf = consolidator.parse('SERIES1,AVERAGE');
expect(cf.metricName).toBe('SERIES1');
expect(cf.functionName).toBe('average');
expect(cf.argument).toBeNaN();
expect(cf.consolidate).toBeDefined();
});
it('should parse expressions with an argument', function () {
var cf = consolidator.parse('SERIES1,95,PERCENT');
expect(cf.metricName).toBe('SERIES1');
expect(cf.functionName).toBe('percent');
expect(cf.argument).toBe(95.0);
expect(cf.consolidate).toBeDefined();
});
});
function buildSeries() {
return {
columnNameToIndex: {
'timestamp': 0,
'my_series': 1,
},
columns: [
Array.prototype.map.call(arguments, function (_, idx) { return ts + 1000 * idx; }),
arguments,
]
};
}
describe('function', function () {
beforeEach(function () {
jasmine.addMatchers({
toBeMetricValue: function () {
return {
compare: function (actual, expectedTimestamp, expectedValue) {
return {
pass: (actual[0] === expectedTimestamp || (isNaN(actual[0]) && isNaN(expectedTimestamp))) &&
(Math.round(actual[1] / 0.0001) === Math.round(expectedValue / 0.0001) || (isNaN(actual[1]) && isNaN(expectedValue))),
message: 'Expected ' + actual[1] + '@' + actual[0] + ' to be ' + expectedValue + '@' + expectedTimestamp,
};
}
};
}
});
});
describe('minimum', function () {
it('should be wrapped correctly', function () {
expect(consolidator['minimum']('my_series').metricName).toBe('my_series');
expect(consolidator['minimum']('my_series').functionName).toBe('minimum');
expect(consolidator['minimum']('my_series').argument).toBeUndefined();
expect(consolidator['minimum']('my_series').consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['minimum']('my_series').consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['minimum']('my_series').consolidate(buildSeries(23.0))).toBeMetricValue(ts, 23.0);
expect(consolidator['minimum']('my_series').consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['minimum']('my_series').consolidate(
buildSeries(23.0, 23.0, 23.0, 23.0, 23.0, 23.0)
)).toBeMetricValue(ts + 1000 * 0, 23.0);
expect(consolidator['minimum']('my_series').consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(ts + 1000 * 0, 1.0);
expect(consolidator['minimum']('my_series').consolidate(
buildSeries(NaN, 23.0, NaN, 23.0, Infinity, 23.0)
)).toBeMetricValue(ts + 1000 * 1, 23.0);
expect(consolidator['minimum']('my_series').consolidate(
buildSeries(NaN, 2.0, NaN, 4.0, -Infinity, 6.0)
)).toBeMetricValue(ts + 1000 * 1, 2.0);
});
});
describe('maximum', function () {
it('should be wrapped correctly', function () {
expect(consolidator['maximum']('my_series').metricName).toBe('my_series');
expect(consolidator['maximum']('my_series').functionName).toBe('maximum');
expect(consolidator['maximum']('my_series').argument).toBeUndefined();
expect(consolidator['maximum']('my_series').consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['maximum']('my_series').consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['maximum']('my_series').consolidate(buildSeries(23.0))).toBeMetricValue(ts, 23.0);
expect(consolidator['maximum']('my_series').consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['maximum']('my_series').consolidate(
buildSeries(23.0, 23.0, 23.0, 23.0, 23.0, 23.0)
)).toBeMetricValue(ts + 1000 * 0, 23.0);
expect(consolidator['maximum']('my_series').consolidate(
buildSeries(NaN, 23.0, NaN, 23.0, Infinity, 23.0)
)).toBeMetricValue(ts + 1000 * 1, 23.0);
expect(consolidator['maximum']('my_series').consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(ts + 1000 * 5, 6.0);
expect(consolidator['maximum']('my_series').consolidate(
buildSeries(1.0, NaN, 3.0, -Infinity, 5.0, Infinity)
)).toBeMetricValue(ts + 1000 * 4, 5.0);
});
});
describe('average', function () {
it('should be wrapped correctly', function () {
expect(consolidator['average']('my_series').metricName).toBe('my_series');
expect(consolidator['average']('my_series').functionName).toBe('average');
expect(consolidator['average']('my_series').argument).toBeUndefined();
expect(consolidator['average']('my_series').consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['average']('my_series').consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['average']('my_series').consolidate(buildSeries(23.0))).toBeMetricValue(undefined, 23.0);
expect(consolidator['average']('my_series').consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['average']('my_series').consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0)
)).toBeMetricValue(undefined, 3.0);
expect(consolidator['average']('my_series').consolidate(
buildSeries(NaN, 1.0, NaN, 2.0, Infinity, 3.0)
)).toBeMetricValue(undefined, 2.0);
});
});
describe('stdev', function () {
it('should be wrapped correctly', function () {
expect(consolidator['stdev']('my_series').metricName).toBe('my_series');
expect(consolidator['stdev']('my_series').functionName).toBe('stdev');
expect(consolidator['stdev']('my_series').argument).toBeUndefined();
expect(consolidator['stdev']('my_series').consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['stdev']('my_series').consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['stdev']('my_series').consolidate(buildSeries(23.0))).toBeMetricValue(undefined, 0.0);
expect(consolidator['stdev']('my_series').consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['stdev']('my_series').consolidate(
buildSeries(23.0, 23.0, 23.0, 23.0, 23.0, 23.0)
)).toBeMetricValue(undefined, 0.0);
expect(consolidator['stdev']('my_series').consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(undefined, 1.70782);
expect(consolidator['stdev']('my_series').consolidate(
buildSeries(1.0, -Infinity, 3.0, NaN, 5.0, Infinity)
)).toBeMetricValue(undefined, 1.63299);
expect(consolidator['stdev']('my_series').consolidate(
buildSeries(1.2, 1.9, 0.2, 0.6, 9.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(undefined, 2.61168);
});
});
describe('last', function () {
it('should be wrapped correctly', function () {
expect(consolidator['last']('my_series').metricName).toBe('my_series');
expect(consolidator['last']('my_series').functionName).toBe('last');
expect(consolidator['last']('my_series').argument).toBeUndefined();
expect(consolidator['last']('my_series').consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['last']('my_series').consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['last']('my_series').consolidate(buildSeries(23.0))).toBeMetricValue(ts, 23.0);
expect(consolidator['last']('my_series').consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['last']('my_series').consolidate(
buildSeries(23.0, 23.0, 23.0, 23.0, 23.0, 23.0)
)).toBeMetricValue(ts + 1000 * 5, 23.0);
expect(consolidator['last']('my_series').consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0)
)).toBeMetricValue(ts + 1000 * 4, 5.0);
expect(consolidator['last']('my_series').consolidate(
buildSeries(1.0, NaN, 2.0, Infinity, 3.0, NaN)
)).toBeMetricValue(ts + 1000 * 4, 3.0);
});
});
describe('first', function () {
it('should be wrapped correctly', function () {
expect(consolidator['first']('my_series').metricName).toBe('my_series');
expect(consolidator['first']('my_series').functionName).toBe('first');
expect(consolidator['first']('my_series').argument).toBeUndefined();
expect(consolidator['first']('my_series').consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['first']('my_series').consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['first']('my_series').consolidate(buildSeries(23.0))).toBeMetricValue(ts, 23.0);
expect(consolidator['first']('my_series').consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['first']('my_series').consolidate(
buildSeries(23.0, 23.0, 23.0, 23.0, 23.0, 23.0)
)).toBeMetricValue(ts + 1000 * 0, 23.0);
expect(consolidator['first']('my_series').consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0)
)).toBeMetricValue(ts + 1000 * 0, 1.0);
expect(consolidator['first']('my_series').consolidate(
buildSeries(NaN, 1.0, NaN, 2.0, Infinity, 3.0)
)).toBeMetricValue(ts + 1000 * 1, 1.0);
});
});
describe('total', function () {
it('should be wrapped correctly', function () {
expect(consolidator['total']('my_series').metricName).toBe('my_series');
expect(consolidator['total']('my_series').functionName).toBe('total');
expect(consolidator['total']('my_series').argument).toBeUndefined();
expect(consolidator['total']('my_series').consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['total']('my_series').consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['total']('my_series').consolidate(buildSeries(23.0))).toBeMetricValue(undefined, NaN);
expect(consolidator['total']('my_series').consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['total']('my_series').consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0)
)).toBeMetricValue(undefined, 14.0);
expect(consolidator['total']('my_series').consolidate(
buildSeries(NaN, 1.0, NaN, 2.0, Infinity, 3.0)
)).toBeMetricValue(undefined, 6.0);
});
});
describe('percent', function () {
it('should be wrapped correctly', function () {
expect(consolidator['percent']('my_series', 95.0).metricName).toBe('my_series');
expect(consolidator['percent']('my_series', 95.0).functionName).toBe('percent');
expect(consolidator['percent']('my_series', 95.0).argument).toBe(95.0);
expect(consolidator['percent']('my_series', 95.0).consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['percent']('my_series', 0.0).consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
expect(consolidator['percent']('my_series', 95.0).consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
expect(consolidator['percent']('my_series', 100.0).consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['percent']('my_series', 0.0).consolidate(buildSeries(23.0))).toBeMetricValue(undefined, 23.0);
expect(consolidator['percent']('my_series', 95.0).consolidate(buildSeries(23.0))).toBeMetricValue(undefined, 23.0);
expect(consolidator['percent']('my_series', 100.0).consolidate(buildSeries(23.0))).toBeMetricValue(undefined, 23.0);
expect(consolidator['percent']('my_series', 0.0).consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
expect(consolidator['percent']('my_series', 95.0).consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
expect(consolidator['percent']('my_series', 100.0).consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['percent']('my_series', 0.0).consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(undefined, 1.0);
expect(consolidator['percent']('my_series', 70.0).consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(undefined, 5.0);
expect(consolidator['percent']('my_series', 100.0).consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(undefined, 6.0);
expect(consolidator['percent']('my_series', 70.0).consolidate(
buildSeries(1.0, -Infinity, 3.0, NaN, 5.0, NaN)
)).toBeMetricValue(undefined, 3.0);
expect(consolidator['percent']('my_series', 20.0).consolidate(
buildSeries(1.0, NaN, 3.0, -Infinity, 5.0, NaN)
)).toBeMetricValue(undefined, NaN);
});
});
describe('percentnan', function () {
it('should be wrapped correctly', function () {
expect(consolidator['percentnan']('my_series', 95.0).metricName).toBe('my_series');
expect(consolidator['percentnan']('my_series', 95.0).functionName).toBe('percentnan');
expect(consolidator['percentnan']('my_series', 95.0).argument).toBe(95.0);
expect(consolidator['percentnan']('my_series', 95.0).consolidate).toBeDefined();
});
it('should calculate correct result for empty series', function () {
expect(consolidator['percentnan']('my_series', 0.0).consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
expect(consolidator['percentnan']('my_series', 95.0).consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
expect(consolidator['percentnan']('my_series', 100.0).consolidate(buildSeries())).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for single value series', function () {
expect(consolidator['percentnan']('my_series', 0.0).consolidate(buildSeries(23.0))).toBeMetricValue(undefined, 23.0);
expect(consolidator['percentnan']('my_series', 95.0).consolidate(buildSeries(23.0))).toBeMetricValue(undefined, 23.0);
expect(consolidator['percentnan']('my_series', 100.0).consolidate(buildSeries(23.0))).toBeMetricValue(undefined, 23.0);
expect(consolidator['percentnan']('my_series', 0.0).consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
expect(consolidator['percentnan']('my_series', 95.0).consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
expect(consolidator['percentnan']('my_series', 100.0).consolidate(buildSeries(NaN))).toBeMetricValue(undefined, NaN);
});
it('should calculate correct result for multi value series', function () {
expect(consolidator['percentnan']('my_series', 0.0).consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(undefined, 1.0);
expect(consolidator['percentnan']('my_series', 70.0).consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(undefined, 5.0);
expect(consolidator['percentnan']('my_series', 100.0).consolidate(
buildSeries(1.0, 2.0, 3.0, 4.0, 5.0, 6.0)
)).toBeMetricValue(undefined, 6.0);
expect(consolidator['percentnan']('my_series', 70.0).consolidate(
buildSeries(1.0, NaN, 3.0, NaN, 5.0, NaN)
)).toBeMetricValue(undefined, 3.0);
expect(consolidator['percentnan']('my_series', 20.0).consolidate(
buildSeries(1.0, NaN, 3.0, -Infinity, 5.0, NaN)
)).toBeMetricValue(undefined, 1.0);
});
});
});
});