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More work on restoring features after moving to plugin model for datasources, no annotations work again #1276 #1472

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This commit is contained in:
Torkel Ödegaard 2015-02-28 10:52:25 +01:00
parent 4a72c37fc1
commit 232f980c72
12 changed files with 397 additions and 394 deletions
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1
pkg/api/frontendsettings.go
View File

@ -38,6 +38,7 @@ func getFrontendSettingsMap(c *middleware.Context) (map[string]interface{}, erro
var dsMap = map[string]interface{}{
"type": ds.Type,
"name": ds.Name,
"url": url,
}

2
src/app/features/annotations/partials/editor.html
View File

@ -72,7 +72,7 @@
</div>
</div>
<div ng-include src="currentDatasource.editorSrc">
<div ng-include src="currentDatasource.meta.partials.annotations">
</div>
<br>

2
src/app/features/panellinkeditor/module.html
View File

@ -45,5 +45,5 @@
<div class="editor-row">
<br>
<button class="btn btn-success" ng-click="addLink()">Add link</button>
<button class="btn btn-inverse" ng-click="addLink()"><i class="fa fa-plus"></i> Add link</button>
</div>

2
src/app/plugins/datasource/elasticsearch/plugin.json
View File

@ -9,7 +9,7 @@
"partials": {
"config": "app/plugins/datasource/elasticsearch/partials/config.html",
"annotations": "app/plugins/datasource/elasticsearch/partials/query.editor.html"
"annotations": "app/plugins/datasource/elasticsearch/partials/annotations.editor.html"
},
"annotations": true

2
src/app/plugins/datasource/graphite/plugin.json
View File

@ -10,7 +10,7 @@
"partials": {
"config": "app/plugins/datasource/graphite/partials/config.html",
"query": "app/plugins/datasource/graphite/partials/query.editor.html",
"annotations": "app/plugins/datasource/graphite/partials/query.editor.html"
"annotations": "app/plugins/datasource/graphite/partials/annotations.editor.html"
},
"metrics": true,

2
src/app/plugins/datasource/influxdb/plugin.json
View File

@ -10,7 +10,7 @@
"partials": {
"config": "app/plugins/datasource/influxdb/partials/config.html",
"query": "app/plugins/datasource/influxdb/partials/query.editor.html",
"annotations": "app/plugins/datasource/influxdb/partials/query.editor.html"
"annotations": "app/plugins/datasource/influxdb/partials/annotations.editor.html"
},
"metrics": true,

2
src/app/plugins/datasource/influxdb_08/plugin.json
View File

@ -10,7 +10,7 @@
"partials": {
"config": "app/plugins/datasource/influxdb_08/partials/config.html",
"query": "app/plugins/datasource/influxdb_08/partials/query.editor.html",
"annotations": "app/plugins/datasource/influxdb_08/partials/query.editor.html"
"annotations": "app/plugins/datasource/influxdb_08/partials/annotations.editor.html"
},
"metrics": true,

12
src/app/services/datasourceSrv.js
View File

@ -20,13 +20,15 @@ function (angular, _, config) {
_.each(config.datasources, function(value, key) {
if (value.meta && value.meta.metrics) {
self.metricSources.push({ value: key, name: key });
self.metricSources.push({
value: key === config.defaultDatasource ? null : key,
name: key
});
}
if (value.meta && value.meta.annotations) {
self.annotationSources.push(value);
}
});
if (!config.defaultDatasource) {
$rootScope.appEvent('alert-error', ["No default data source found", ""]);
}
};
this.get = function(name) {

146
src/test/specs/influxQueryBuilder-specs.js
View File

@ -1,78 +1,78 @@
define([
'features/influxdb/queryBuilder'
], function(/*InfluxQueryBuilder*/) {
'plugins/datasource/influxdb_08/queryBuilder'
], function(InfluxQueryBuilder) {
'use strict';
// describe('InfluxQueryBuilder', function() {
//
// describe('series with conditon and group by', function() {
// var builder = new InfluxQueryBuilder({
// series: 'google.test',
// column: 'value',
// function: 'mean',
// condition: "code=1",
// groupby_field: 'code'
// });
//
// var query = builder.build();
//
// it('should generate correct query', function() {
// expect(query).to.be('select code, mean(value) from "google.test" where $timeFilter and code=1 ' +
// 'group by time($interval), code order asc');
// });
//
// it('should expose groupByFiled', function() {
// expect(builder.groupByField).to.be('code');
// });
//
// });
//
// describe('series with fill and minimum group by time', function() {
// var builder = new InfluxQueryBuilder({
// series: 'google.test',
// column: 'value',
// function: 'mean',
// fill: '0',
// });
//
// var query = builder.build();
//
// it('should generate correct query', function() {
// expect(query).to.be('select mean(value) from "google.test" where $timeFilter ' +
// 'group by time($interval) fill(0) order asc');
// });
//
// });
//
// describe('merge function detection', function() {
// it('should not quote wrap regex merged series', function() {
// var builder = new InfluxQueryBuilder({
// series: 'merge(/^google.test/)',
// column: 'value',
// function: 'mean'
// });
//
// var query = builder.build();
//
// expect(query).to.be('select mean(value) from merge(/^google.test/) where $timeFilter ' +
// 'group by time($interval) order asc');
// });
//
// it('should quote wrap series names that start with "merge"', function() {
// var builder = new InfluxQueryBuilder({
// series: 'merge.google.test',
// column: 'value',
// function: 'mean'
// });
//
// var query = builder.build();
//
// expect(query).to.be('select mean(value) from "merge.google.test" where $timeFilter ' +
// 'group by time($interval) order asc');
// });
//
// });
//
// });
describe('InfluxQueryBuilder', function() {
describe('series with conditon and group by', function() {
var builder = new InfluxQueryBuilder({
series: 'google.test',
column: 'value',
function: 'mean',
condition: "code=1",
groupby_field: 'code'
});
var query = builder.build();
it('should generate correct query', function() {
expect(query).to.be('select code, mean(value) from "google.test" where $timeFilter and code=1 ' +
'group by time($interval), code order asc');
});
it('should expose groupByFiled', function() {
expect(builder.groupByField).to.be('code');
});
});
describe('series with fill and minimum group by time', function() {
var builder = new InfluxQueryBuilder({
series: 'google.test',
column: 'value',
function: 'mean',
fill: '0',
});
var query = builder.build();
it('should generate correct query', function() {
expect(query).to.be('select mean(value) from "google.test" where $timeFilter ' +
'group by time($interval) fill(0) order asc');
});
});
describe('merge function detection', function() {
it('should not quote wrap regex merged series', function() {
var builder = new InfluxQueryBuilder({
series: 'merge(/^google.test/)',
column: 'value',
function: 'mean'
});
var query = builder.build();
expect(query).to.be('select mean(value) from merge(/^google.test/) where $timeFilter ' +
'group by time($interval) order asc');
});
it('should quote wrap series names that start with "merge"', function() {
var builder = new InfluxQueryBuilder({
series: 'merge.google.test',
column: 'value',
function: 'mean'
});
var query = builder.build();
expect(query).to.be('select mean(value) from "merge.google.test" where $timeFilter ' +
'group by time($interval) order asc');
});
});
});
});

430
src/test/specs/influxSeries-specs.js
View File

@ -1,220 +1,220 @@
define([
'features/influxdb/influxSeries'
], function(/*InfluxSeries*/) {
'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);
// });
//
// });
//
// });
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);
});
});
});
});

188
src/test/specs/influxdb-datasource-specs.js
View File

@ -1,100 +1,100 @@
define([
'helpers',
'features/influxdb/datasource'
], function(/*helpers*/) {
'plugins/datasource/influxdb_08/datasource'
], function(helpers) {
'use strict';
// describe('InfluxDatasource', function() {
// var ctx = new helpers.ServiceTestContext();
//
// beforeEach(module('grafana.services'));
// beforeEach(ctx.providePhase(['templateSrv']));
// beforeEach(ctx.createService('InfluxDatasource'));
// beforeEach(function() {
// ctx.ds = new ctx.service({ url: '', user: 'test', password: 'mupp' });
// });
//
// describe('When querying influxdb with one target using query editor target spec', function() {
// var results;
// var urlExpected = "/series?p=mupp&q=select+mean(value)+from+%22test%22"+
// "+where+time+%3E+now()-1h+group+by+time(1s)+order+asc";
// var query = {
// range: { from: 'now-1h', to: 'now' },
// targets: [{ series: 'test', column: 'value', function: 'mean' }],
// interval: '1s'
// };
//
// var response = [{
// columns: ["time", "sequence_nr", "value"],
// name: 'test',
// points: [[10, 1, 1]],
// }];
//
// beforeEach(function() {
// ctx.$httpBackend.expect('GET', urlExpected).respond(response);
// ctx.ds.query(query).then(function(data) { results = data; });
// ctx.$httpBackend.flush();
// });
//
// it('should generate the correct query', function() {
// ctx.$httpBackend.verifyNoOutstandingExpectation();
// });
//
// it('should return series list', function() {
// expect(results.data.length).to.be(1);
// expect(results.data[0].target).to.be('test.value');
// });
//
// });
//
// describe('When querying influxdb with one raw query', function() {
// var results;
// var urlExpected = "/series?p=mupp&q=select+value+from+series"+
// "+where+time+%3E+now()-1h";
// var query = {
// range: { from: 'now-1h', to: 'now' },
// targets: [{ query: "select value from series where $timeFilter", rawQuery: true }]
// };
//
// var response = [];
//
// beforeEach(function() {
// ctx.$httpBackend.expect('GET', urlExpected).respond(response);
// ctx.ds.query(query).then(function(data) { results = data; });
// ctx.$httpBackend.flush();
// });
//
// it('should generate the correct query', function() {
// ctx.$httpBackend.verifyNoOutstandingExpectation();
// });
//
// });
//
// describe('When issuing annotation query', function() {
// var results;
// var urlExpected = "/series?p=mupp&q=select+title+from+events.backend_01"+
// "+where+time+%3E+now()-1h";
//
// var range = { from: 'now-1h', to: 'now' };
// var annotation = { query: 'select title from events.$server where $timeFilter' };
// var response = [];
//
// beforeEach(function() {
// ctx.templateSrv.replace = function(str) {
// return str.replace('$server', 'backend_01');
// };
// ctx.$httpBackend.expect('GET', urlExpected).respond(response);
// ctx.ds.annotationQuery(annotation, range).then(function(data) { results = data; });
// ctx.$httpBackend.flush();
// });
//
// it('should generate the correct query', function() {
// ctx.$httpBackend.verifyNoOutstandingExpectation();
// });
//
// });
//
// });
//
describe('InfluxDatasource', function() {
var ctx = new helpers.ServiceTestContext();
beforeEach(module('grafana.services'));
beforeEach(ctx.providePhase(['templateSrv']));
beforeEach(ctx.createService('InfluxDatasource_08'));
beforeEach(function() {
ctx.ds = new ctx.service({ url: '', user: 'test', password: 'mupp' });
});
describe('When querying influxdb with one target using query editor target spec', function() {
var results;
var urlExpected = "/series?p=mupp&q=select+mean(value)+from+%22test%22"+
"+where+time+%3E+now()-1h+group+by+time(1s)+order+asc";
var query = {
range: { from: 'now-1h', to: 'now' },
targets: [{ series: 'test', column: 'value', function: 'mean' }],
interval: '1s'
};
var response = [{
columns: ["time", "sequence_nr", "value"],
name: 'test',
points: [[10, 1, 1]],
}];
beforeEach(function() {
ctx.$httpBackend.expect('GET', urlExpected).respond(response);
ctx.ds.query(query).then(function(data) { results = data; });
ctx.$httpBackend.flush();
});
it('should generate the correct query', function() {
ctx.$httpBackend.verifyNoOutstandingExpectation();
});
it('should return series list', function() {
expect(results.data.length).to.be(1);
expect(results.data[0].target).to.be('test.value');
});
});
describe('When querying influxdb with one raw query', function() {
var results;
var urlExpected = "/series?p=mupp&q=select+value+from+series"+
"+where+time+%3E+now()-1h";
var query = {
range: { from: 'now-1h', to: 'now' },
targets: [{ query: "select value from series where $timeFilter", rawQuery: true }]
};
var response = [];
beforeEach(function() {
ctx.$httpBackend.expect('GET', urlExpected).respond(response);
ctx.ds.query(query).then(function(data) { results = data; });
ctx.$httpBackend.flush();
});
it('should generate the correct query', function() {
ctx.$httpBackend.verifyNoOutstandingExpectation();
});
});
describe('When issuing annotation query', function() {
var results;
var urlExpected = "/series?p=mupp&q=select+title+from+events.backend_01"+
"+where+time+%3E+now()-1h";
var range = { from: 'now-1h', to: 'now' };
var annotation = { query: 'select title from events.$server where $timeFilter' };
var response = [];
beforeEach(function() {
ctx.templateSrv.replace = function(str) {
return str.replace('$server', 'backend_01');
};
ctx.$httpBackend.expect('GET', urlExpected).respond(response);
ctx.ds.annotationQuery(annotation, range).then(function(data) { results = data; });
ctx.$httpBackend.flush();
});
it('should generate the correct query', function() {
ctx.$httpBackend.verifyNoOutstandingExpectation();
});
});
});
});

2
src/test/specs/templateValuesSrv-specs.js
View File

@ -38,7 +38,7 @@ define([
scenario.setupFn();
var ds = {};
ds.metricFindQuery = sinon.stub().returns(ctx.$q.when(scenario.queryResult));
ctx.datasourceSrv.get = sinon.stub().returns(ds);
ctx.datasourceSrv.get = sinon.stub().returns(ctx.$q.when(ds));
ctx.service.updateOptions(scenario.variable);
ctx.$rootScope.$digest();