grafana/public/app/plugins/datasource/influxdb/specs/influx_query_model.test.ts
Hugo Häggmark b51e28bc15
Chore: reduces strict null errors to 824 (#22744)
* Chore: reduces strict null errors with 100+

* Chore: lowers the build error number
2020-03-12 10:22:33 +01:00

399 lines
11 KiB
TypeScript

import InfluxQueryModel from '../influx_query_model';
describe('InfluxQuery', () => {
const templateSrv: any = { replace: (val: any) => val };
describe('render series with mesurement only', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe('SELECT mean("value") FROM "cpu" WHERE $timeFilter GROUP BY time($__interval) fill(null)');
});
});
describe('render series with policy only', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
policy: '5m_avg',
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe(
'SELECT mean("value") FROM "5m_avg"."cpu" WHERE $timeFilter GROUP BY time($__interval) fill(null)'
);
});
});
describe('render series with math and alias', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [
[
{ type: 'field', params: ['value'] },
{ type: 'mean', params: [] },
{ type: 'math', params: ['/100'] },
{ type: 'alias', params: ['text'] },
],
],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe(
'SELECT mean("value") /100 AS "text" FROM "cpu" WHERE $timeFilter GROUP BY time($__interval) fill(null)'
);
});
});
describe('series with single tag only', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
groupBy: [{ type: 'time', params: ['auto'] }],
tags: [{ key: 'hostname', value: 'server\\1' }],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe(
'SELECT mean("value") FROM "cpu" WHERE ("hostname" = \'server\\\\1\') AND $timeFilter' +
' GROUP BY time($__interval)'
);
});
it('should switch regex operator with tag value is regex', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
groupBy: [{ type: 'time', params: ['auto'] }],
tags: [{ key: 'app', value: '/e.*/' }],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe(
'SELECT mean("value") FROM "cpu" WHERE ("app" =~ /e.*/) AND $timeFilter GROUP BY time($__interval)'
);
});
});
describe('series with multiple tags only', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
groupBy: [{ type: 'time', params: ['auto'] }],
tags: [
{ key: 'hostname', value: 'server1' },
{ key: 'app', value: 'email', condition: 'AND' },
],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe(
'SELECT mean("value") FROM "cpu" WHERE ("hostname" = \'server1\' AND "app" = \'email\') AND ' +
'$timeFilter GROUP BY time($__interval)'
);
});
});
describe('series with tags OR condition', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
groupBy: [{ type: 'time', params: ['auto'] }],
tags: [
{ key: 'hostname', value: 'server1' },
{ key: 'hostname', value: 'server2', condition: 'OR' },
],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe(
'SELECT mean("value") FROM "cpu" WHERE ("hostname" = \'server1\' OR "hostname" = \'server2\') AND ' +
'$timeFilter GROUP BY time($__interval)'
);
});
});
describe('field name with single quote should be escaped and', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
groupBy: [{ type: 'time', params: ['auto'] }],
tags: [
{ key: 'name', value: "Let's encrypt." },
{ key: 'hostname', value: 'server2', condition: 'OR' },
],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe(
'SELECT mean("value") FROM "cpu" WHERE ("name" = \'Let\\\'s encrypt.\' OR "hostname" = \'server2\') AND ' +
'$timeFilter GROUP BY time($__interval)'
);
});
});
describe('query with value condition', () => {
it('should not quote value', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
groupBy: [],
tags: [{ key: 'value', value: '5', operator: '>' }],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe('SELECT mean("value") FROM "cpu" WHERE ("value" > 5) AND $timeFilter');
});
});
describe('series with groupByTag', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
tags: [],
groupBy: [
{ type: 'time', interval: 'auto' },
{ type: 'tag', params: ['host'] },
],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe('SELECT mean("value") FROM "cpu" WHERE $timeFilter GROUP BY time($__interval), "host"');
});
});
describe('render series without group by', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [[{ type: 'field', params: ['value'] }]],
groupBy: [],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe('SELECT "value" FROM "cpu" WHERE $timeFilter');
});
});
describe('render series without group by and fill', () => {
it('should generate correct query', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [[{ type: 'field', params: ['value'] }]],
groupBy: [{ type: 'time' }, { type: 'fill', params: ['0'] }],
},
templateSrv,
{}
);
const queryText = query.render();
expect(queryText).toBe('SELECT "value" FROM "cpu" WHERE $timeFilter GROUP BY time($__interval) fill(0)');
});
});
describe('when adding group by part', () => {
it('should add tag before fill', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
groupBy: [{ type: 'time' }, { type: 'fill' }],
},
templateSrv,
{}
);
query.addGroupBy('tag(host)');
expect(query.target.groupBy?.length).toBe(3);
expect(query.target.groupBy![1].type).toBe('tag');
expect(query.target.groupBy![1].params![0]).toBe('host');
expect(query.target.groupBy![2].type).toBe('fill');
});
it('should add tag last if no fill', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
groupBy: [],
},
templateSrv,
{}
);
query.addGroupBy('tag(host)');
expect(query.target.groupBy?.length).toBe(1);
expect(query.target.groupBy![0].type).toBe('tag');
});
});
describe('when adding select part', () => {
it('should add mean after after field', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [[{ type: 'field', params: ['value'] }]],
},
templateSrv,
{}
);
query.addSelectPart(query.selectModels[0], 'mean');
expect(query.target.select![0].length).toBe(2);
expect(query.target.select![0][1].type).toBe('mean');
});
it('should replace sum by mean', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [[{ type: 'field', params: ['value'] }, { type: 'mean' }]],
},
templateSrv,
{}
);
query.addSelectPart(query.selectModels[0], 'sum');
expect(query.target.select![0].length).toBe(2);
expect(query.target.select![0][1].type).toBe('sum');
});
it('should add math before alias', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [[{ type: 'field', params: ['value'] }, { type: 'mean' }, { type: 'alias' }]],
},
templateSrv,
{}
);
query.addSelectPart(query.selectModels[0], 'math');
expect(query.target.select![0].length).toBe(4);
expect(query.target.select![0][2].type).toBe('math');
});
it('should add math last', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [[{ type: 'field', params: ['value'] }, { type: 'mean' }]],
},
templateSrv,
{}
);
query.addSelectPart(query.selectModels[0], 'math');
expect(query.target.select![0].length).toBe(3);
expect(query.target.select![0][2].type).toBe('math');
});
it('should replace math', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [[{ type: 'field', params: ['value'] }, { type: 'mean' }, { type: 'math' }]],
},
templateSrv,
{}
);
query.addSelectPart(query.selectModels[0], 'math');
expect(query.target.select![0].length).toBe(3);
expect(query.target.select![0][2].type).toBe('math');
});
it('should add math when one only query part', () => {
const query = new InfluxQueryModel(
{
refId: 'A',
measurement: 'cpu',
select: [[{ type: 'field', params: ['value'] }]],
},
templateSrv,
{}
);
query.addSelectPart(query.selectModels[0], 'math');
expect(query.target.select![0].length).toBe(2);
expect(query.target.select![0][1].type).toBe('math');
});
describe('when render adhoc filters', () => {
it('should generate correct query segment', () => {
const query = new InfluxQueryModel({ refId: 'A', measurement: 'cpu' }, templateSrv, {});
const queryText = query.renderAdhocFilters([
{ key: 'key1', operator: '=', value: 'value1' },
{ key: 'key2', operator: '!=', value: 'value2' },
]);
expect(queryText).toBe('"key1" = \'value1\' AND "key2" != \'value2\'');
});
});
});
});