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- define([
- 'plugins/datasource/influxdb_08/influxSeries'
- ], function(InfluxSeries) {
- 'use strict';
- describe('when generating timeseries from influxdb response', function() {
- describe('given two series', function() {
- var series = new InfluxSeries({
- seriesList: [
- {
- columns: ['time', 'mean', 'sequence_number'],
- name: 'prod.server1.cpu',
- points: [[1402596000, 10, 1], [1402596001, 12, 2]]
- },
- {
- columns: ['time', 'mean', 'sequence_number'],
- name: 'prod.server2.cpu',
- points: [[1402596000, 15, 1], [1402596001, 16, 2]]
- }
- ]
- });
- var result = series.getTimeSeries();
- it('should generate two time series', function() {
- expect(result.length).to.be(2);
- expect(result[0].target).to.be('prod.server1.cpu.mean');
- expect(result[0].datapoints[0][0]).to.be(10);
- expect(result[0].datapoints[0][1]).to.be(1402596000);
- expect(result[0].datapoints[1][0]).to.be(12);
- expect(result[0].datapoints[1][1]).to.be(1402596001);
- expect(result[1].target).to.be('prod.server2.cpu.mean');
- expect(result[1].datapoints[0][0]).to.be(15);
- expect(result[1].datapoints[0][1]).to.be(1402596000);
- expect(result[1].datapoints[1][0]).to.be(16);
- expect(result[1].datapoints[1][1]).to.be(1402596001);
- });
- });
- describe('given an alias format', function() {
- var series = new InfluxSeries({
- seriesList: [
- {
- columns: ['time', 'mean', 'sequence_number'],
- name: 'prod.server1.cpu',
- points: [[1402596000, 10, 1], [1402596001, 12, 2]]
- }
- ],
- alias: '$s.testing'
- });
- var result = series.getTimeSeries();
- it('should generate correct series name', function() {
- expect(result[0].target).to.be('prod.server1.cpu.testing');
- });
- });
- describe('given an alias format with segment numbers', function() {
- var series = new InfluxSeries({
- seriesList: [
- {
- columns: ['time', 'mean', 'sequence_number'],
- name: 'prod.server1.cpu',
- points: [[1402596000, 10, 1], [1402596001, 12, 2]]
- }
- ],
- alias: '$1.mean'
- });
- var result = series.getTimeSeries();
- it('should generate correct series name', function() {
- expect(result[0].target).to.be('server1.mean');
- });
- });
- describe('given an alias format and many segments', function() {
- var series = new InfluxSeries({
- seriesList: [
- {
- columns: ['time', 'mean', 'sequence_number'],
- name: 'a0.a1.a2.a3.a4.a5.a6.a7.a8.a9.a10.a11.a12',
- points: [[1402596000, 10, 1], [1402596001, 12, 2]]
- }
- ],
- alias: '$5.$11.mean'
- });
- var result = series.getTimeSeries();
- it('should generate correct series name', function() {
- expect(result[0].target).to.be('a5.a11.mean');
- });
- });
- describe('given an alias format with group by field', function() {
- var series = new InfluxSeries({
- seriesList: [
- {
- columns: ['time', 'mean', 'host'],
- name: 'prod.cpu',
- points: [[1402596000, 10, 'A']]
- }
- ],
- groupByField: 'host',
- alias: '$g.$1'
- });
- var result = series.getTimeSeries();
- it('should generate correct series name', function() {
- expect(result[0].target).to.be('A.cpu');
- });
- });
- describe('given group by column', function() {
- var series = new InfluxSeries({
- seriesList: [
- {
- columns: ['time', 'mean', 'host'],
- name: 'prod.cpu',
- points: [
- [1402596000, 10, 'A'],
- [1402596001, 11, 'A'],
- [1402596000, 5, 'B'],
- [1402596001, 6, 'B'],
- ]
- }
- ],
- groupByField: 'host'
- });
- var result = series.getTimeSeries();
- it('should generate two time series', function() {
- expect(result.length).to.be(2);
- expect(result[0].target).to.be('prod.cpu.A');
- expect(result[0].datapoints[0][0]).to.be(10);
- expect(result[0].datapoints[0][1]).to.be(1402596000);
- expect(result[0].datapoints[1][0]).to.be(11);
- expect(result[0].datapoints[1][1]).to.be(1402596001);
- expect(result[1].target).to.be('prod.cpu.B');
- expect(result[1].datapoints[0][0]).to.be(5);
- expect(result[1].datapoints[0][1]).to.be(1402596000);
- expect(result[1].datapoints[1][0]).to.be(6);
- expect(result[1].datapoints[1][1]).to.be(1402596001);
- });
- });
- });
- describe("when creating annotations from influxdb response", function() {
- describe('given column mapping for all columns', function() {
- var series = new InfluxSeries({
- seriesList: [
- {
- columns: ['time', 'text', 'sequence_number', 'title', 'tags'],
- name: 'events1',
- points: [[1402596000000, 'some text', 1, 'Hello', 'B'], [1402596001000, 'asd', 2, 'Hello2', 'B']]
- }
- ],
- annotation: {
- query: 'select',
- titleColumn: 'title',
- tagsColumn: 'tags',
- textColumn: 'text',
- }
- });
- var result = series.getAnnotations();
- it(' should generate 2 annnotations ', function() {
- expect(result.length).to.be(2);
- expect(result[0].annotation.query).to.be('select');
- expect(result[0].title).to.be('Hello');
- expect(result[0].time).to.be(1402596000000);
- expect(result[0].tags).to.be('B');
- expect(result[0].text).to.be('some text');
- });
- });
- describe('given no column mapping', function() {
- var series = new InfluxSeries({
- seriesList: [
- {
- columns: ['time', 'text', 'sequence_number'],
- name: 'events1',
- points: [[1402596000000, 'some text', 1]]
- }
- ],
- annotation: { query: 'select' }
- });
- var result = series.getAnnotations();
- it('should generate 1 annnotation', function() {
- expect(result.length).to.be(1);
- expect(result[0].title).to.be('some text');
- expect(result[0].time).to.be(1402596000000);
- expect(result[0].tags).to.be(undefined);
- expect(result[0].text).to.be(undefined);
- });
- });
- });
- });
|