mirror of
https://github.com/grafana/grafana.git
synced 2025-02-25 18:55:37 -06:00
181 lines
6.2 KiB
JavaScript
181 lines
6.2 KiB
JavaScript
define([
|
|
'app/plugins/datasource/influxdb/influxSeries'
|
|
], function(InfluxSeries) {
|
|
'use strict';
|
|
|
|
describe('when generating timeseries from influxdb response', function() {
|
|
|
|
describe('given multiple fields for series', function() {
|
|
var options = { series: [
|
|
{
|
|
name: 'cpu',
|
|
tags: {app: 'test', server: 'server1'},
|
|
columns: ['time', 'mean', 'max', 'min'],
|
|
values: [[1431946625000, 10, 11, 9], [1431946626000, 20, 21, 19]]
|
|
}
|
|
]};
|
|
describe('and no alias', function() {
|
|
it('should generate multiple datapoints for each column', function() {
|
|
var series = new InfluxSeries(options);
|
|
var result = series.getTimeSeries();
|
|
|
|
expect(result.length).to.be(3);
|
|
expect(result[0].target).to.be('cpu.mean {app: test, server: server1}');
|
|
expect(result[0].datapoints[0][0]).to.be(10);
|
|
expect(result[0].datapoints[0][1]).to.be(1431946625000);
|
|
expect(result[0].datapoints[1][0]).to.be(20);
|
|
expect(result[0].datapoints[1][1]).to.be(1431946626000);
|
|
|
|
expect(result[1].target).to.be('cpu.max {app: test, server: server1}');
|
|
expect(result[1].datapoints[0][0]).to.be(11);
|
|
expect(result[1].datapoints[0][1]).to.be(1431946625000);
|
|
expect(result[1].datapoints[1][0]).to.be(21);
|
|
expect(result[1].datapoints[1][1]).to.be(1431946626000);
|
|
|
|
expect(result[2].target).to.be('cpu.min {app: test, server: server1}');
|
|
expect(result[2].datapoints[0][0]).to.be(9);
|
|
expect(result[2].datapoints[0][1]).to.be(1431946625000);
|
|
expect(result[2].datapoints[1][0]).to.be(19);
|
|
expect(result[2].datapoints[1][1]).to.be(1431946626000);
|
|
|
|
});
|
|
});
|
|
|
|
describe('and simple alias', function() {
|
|
it('should use alias', function() {
|
|
options.alias = 'new series';
|
|
var series = new InfluxSeries(options);
|
|
var result = series.getTimeSeries();
|
|
|
|
expect(result[0].target).to.be('new series');
|
|
expect(result[1].target).to.be('new series');
|
|
expect(result[2].target).to.be('new series');
|
|
});
|
|
|
|
});
|
|
|
|
describe('and alias patterns', function() {
|
|
it('should replace patterns', function() {
|
|
options.alias = 'alias: $m -> $tag_server ([[measurement]])';
|
|
var series = new InfluxSeries(options);
|
|
var result = series.getTimeSeries();
|
|
|
|
expect(result[0].target).to.be('alias: cpu -> server1 (cpu)');
|
|
expect(result[1].target).to.be('alias: cpu -> server1 (cpu)');
|
|
expect(result[2].target).to.be('alias: cpu -> server1 (cpu)');
|
|
});
|
|
|
|
});
|
|
});
|
|
describe('given measurement with default fieldname', function() {
|
|
var options = { series: [
|
|
{
|
|
name: 'cpu',
|
|
tags: {app: 'test', server: 'server1'},
|
|
columns: ['time', 'value'],
|
|
values: [["2015-05-18T10:57:05Z", 10], ["2015-05-18T10:57:06Z", 12]]
|
|
},
|
|
{
|
|
name: 'cpu',
|
|
tags: {app: 'test2', server: 'server2'},
|
|
columns: ['time', 'value'],
|
|
values: [["2015-05-18T10:57:05Z", 15], ["2015-05-18T10:57:06Z", 16]]
|
|
}
|
|
]};
|
|
|
|
describe('and no alias', function() {
|
|
|
|
it('should generate label with no field', function() {
|
|
var series = new InfluxSeries(options);
|
|
var result = series.getTimeSeries();
|
|
|
|
expect(result[0].target).to.be('cpu {app: test, server: server1}');
|
|
expect(result[1].target).to.be('cpu {app: test2, server: server2}');
|
|
});
|
|
});
|
|
|
|
});
|
|
describe('given two series', function() {
|
|
var options = { series: [
|
|
{
|
|
name: 'cpu',
|
|
tags: {app: 'test', server: 'server1'},
|
|
columns: ['time', 'mean'],
|
|
values: [[1431946625000, 10], [1431946626000, 12]]
|
|
},
|
|
{
|
|
name: 'cpu',
|
|
tags: {app: 'test2', server: 'server2'},
|
|
columns: ['time', 'mean'],
|
|
values: [[1431946625000, 15], [1431946626000, 16]]
|
|
}
|
|
]};
|
|
|
|
describe('and no alias', function() {
|
|
|
|
it('should generate two time series', function() {
|
|
var series = new InfluxSeries(options);
|
|
var result = series.getTimeSeries();
|
|
|
|
expect(result.length).to.be(2);
|
|
expect(result[0].target).to.be('cpu.mean {app: test, server: server1}');
|
|
expect(result[0].datapoints[0][0]).to.be(10);
|
|
expect(result[0].datapoints[0][1]).to.be(1431946625000);
|
|
expect(result[0].datapoints[1][0]).to.be(12);
|
|
expect(result[0].datapoints[1][1]).to.be(1431946626000);
|
|
|
|
expect(result[1].target).to.be('cpu.mean {app: test2, server: server2}');
|
|
expect(result[1].datapoints[0][0]).to.be(15);
|
|
expect(result[1].datapoints[0][1]).to.be(1431946625000);
|
|
expect(result[1].datapoints[1][0]).to.be(16);
|
|
expect(result[1].datapoints[1][1]).to.be(1431946626000);
|
|
});
|
|
});
|
|
|
|
describe('and simple alias', function() {
|
|
it('should use alias', function() {
|
|
options.alias = 'new series';
|
|
var series = new InfluxSeries(options);
|
|
var result = series.getTimeSeries();
|
|
|
|
expect(result[0].target).to.be('new series');
|
|
});
|
|
|
|
});
|
|
|
|
describe('and alias patterns', function() {
|
|
it('should replace patterns', function() {
|
|
options.alias = 'alias: $m -> $tag_server ([[measurement]])';
|
|
var series = new InfluxSeries(options);
|
|
var result = series.getTimeSeries();
|
|
|
|
expect(result[0].target).to.be('alias: cpu -> server1 (cpu)');
|
|
expect(result[1].target).to.be('alias: cpu -> server2 (cpu)');
|
|
});
|
|
|
|
});
|
|
|
|
});
|
|
|
|
describe('given measurement with dots', function() {
|
|
var options = { series: [
|
|
{
|
|
name: 'app.prod.server1.count',
|
|
tags: {},
|
|
columns: ['time', 'mean'],
|
|
values: [[1431946625000, 10], [1431946626000, 12]]
|
|
}
|
|
]};
|
|
|
|
it('should replace patterns', function() {
|
|
options.alias = 'alias: $1 -> [[3]]';
|
|
var series = new InfluxSeries(options);
|
|
var result = series.getTimeSeries();
|
|
|
|
expect(result[0].target).to.be('alias: prod -> count');
|
|
});
|
|
});
|
|
});
|
|
|
|
});
|