Files
grafana/public/app/plugins/datasource/mssql/datasource.test.ts
Zoltán Bedi 85c696c4ad SQL: Add macro support in select case (#88514)
* Feat: timeGroup macro handling in VQB

* Add tests

* Add functions to SQL ds

* Fix lint errors

* Add feature toggle

* Add rendering based on object

* Fix lint

* Fix CI failures

* Fix tests

* Address review comments

* Add docs

* Fix JSX runtime warnings

* Remove docs part that mentions suggest more macros

* Update docs/sources/shared/datasources/sql-query-builder-macros.md

Co-authored-by: Jack Baldry <jack.baldry@grafana.com>

* Add smoke test for this feature

* lint

* Add supported macros to influx

* Add setupTests.ts to include in tsconfig.json

* Import jest-dom instead of setupTests.ts

---------

Co-authored-by: Jack Baldry <jack.baldry@grafana.com>
2024-11-04 17:13:35 +01:00

466 lines
14 KiB
TypeScript

import { of } from 'rxjs';
import { createFetchResponse } from 'test/helpers/createFetchResponse';
import {
dataFrameToJSON,
getDefaultTimeRange,
DataSourceInstanceSettings,
dateTime,
FieldType,
MetricFindValue,
createDataFrame,
TimeRange,
} from '@grafana/data';
import { SQLQuery } from '@grafana/sql';
import { backendSrv } from 'app/core/services/backend_srv';
import { TemplateSrv } from 'app/features/templating/template_srv';
import { initialCustomVariableModelState } from '../../../features/variables/custom/reducer';
import { MssqlDatasource } from './datasource';
import { MssqlOptions } from './types';
jest.mock('@grafana/runtime', () => ({
...jest.requireActual('@grafana/runtime'),
getBackendSrv: () => backendSrv,
}));
// mock uuidv4 to give back the same value every time
jest.mock('uuid', () => ({
v4: () => '0000',
}));
const instanceSettings = {
id: 1,
uid: 'mssql-datasource',
type: 'mssql',
name: 'MSSQL',
access: 'direct',
} as DataSourceInstanceSettings<MssqlOptions>;
describe('MSSQLDatasource', () => {
const defaultRange = getDefaultTimeRange(); // it does not matter what value this has
const fetchMock = jest.spyOn(backendSrv, 'fetch');
const ctx = {
ds: new MssqlDatasource(instanceSettings),
variable: { ...initialCustomVariableModelState },
};
beforeEach(() => {
jest.clearAllMocks();
ctx.ds = new MssqlDatasource(instanceSettings);
});
describe('When performing metricFindQuery that returns multiple string fields', () => {
let results: MetricFindValue[];
const query = 'select * from atable';
const response = {
results: {
tempvar: {
frames: [
dataFrameToJSON(
createDataFrame({
fields: [
{ name: 'title', values: ['aTitle', 'aTitle2', 'aTitle3'] },
{ name: 'text', values: ['some text', 'some text2', 'some text3'] },
],
})
),
],
},
},
};
beforeEach(() => {
fetchMock.mockImplementation(() => of(createFetchResponse(response)));
return ctx.ds.metricFindQuery(query, { range: defaultRange }).then((data: MetricFindValue[]) => {
results = data;
});
});
it('should return list of all column values', () => {
expect(results.length).toBe(6);
expect(results[0].text).toBe('aTitle');
expect(results[5].text).toBe('some text3');
});
});
describe('When runSql returns an empty dataframe', () => {
const response = {
results: {
tempvar: {
refId: 'tempvar',
frames: [],
},
},
};
beforeEach(async () => {
fetchMock.mockImplementation(() => of(createFetchResponse(response)));
});
it('should return an empty array when metricFindQuery is called', async () => {
const query = 'select * from atable';
const results = await ctx.ds.metricFindQuery(query, { range: defaultRange });
expect(results.length).toBe(0);
});
it('should return an empty array when fetchDatasets is called', async () => {
const results = await ctx.ds.fetchDatasets();
expect(results.length).toBe(0);
});
it('should return an empty array when fetchTables is called', async () => {
const results = await ctx.ds.fetchTables();
expect(results.length).toBe(0);
});
it('should return an empty array when fetchFields is called', async () => {
const query: SQLQuery = {
refId: 'refId',
table: 'schema.table',
dataset: 'dataset',
};
const results = await ctx.ds.fetchFields(query);
expect(results.length).toBe(0);
});
});
describe('When runSql returns a populated dataframe', () => {
it('should return a list of datasets when fetchDatasets is called', async () => {
const fetchDatasetsResponse = {
results: {
datasets: {
refId: 'datasets',
frames: [
dataFrameToJSON(
createDataFrame({
fields: [{ name: 'name', type: FieldType.string, values: ['test1', 'test2', 'test3'] }],
})
),
],
},
},
};
fetchMock.mockImplementation(() => of(createFetchResponse(fetchDatasetsResponse)));
const results = await ctx.ds.fetchDatasets();
expect(results.length).toBe(3);
expect(results).toEqual(['test1', 'test2', 'test3']);
});
it('should return a list of tables when fetchTables is called', async () => {
const fetchTableResponse = {
results: {
tables: {
refId: 'tables',
frames: [
dataFrameToJSON(
createDataFrame({
fields: [{ name: 'schemaAndName', type: FieldType.string, values: ['test1', 'test2', 'test3'] }],
})
),
],
},
},
};
fetchMock.mockImplementation(() => of(createFetchResponse(fetchTableResponse)));
const results = await ctx.ds.fetchTables();
expect(results.length).toBe(3);
expect(results).toEqual(['test1', 'test2', 'test3']);
});
it('should return a list of fields when fetchFields is called', async () => {
const fetchFieldsResponse = {
results: {
[`columns-0000`]: {
frames: [
dataFrameToJSON(
createDataFrame({
fields: [
{ name: 'column', type: FieldType.string, values: ['test1', 'test2', 'test3'] },
{ name: 'type', type: FieldType.string, values: ['int', 'char', 'bool'] },
],
})
),
],
},
},
};
fetchMock.mockImplementation(() => of(createFetchResponse(fetchFieldsResponse)));
const sqlQuery: SQLQuery = {
refId: 'fields',
table: 'table',
dataset: 'dataset',
};
const results = await ctx.ds.fetchFields(sqlQuery);
expect(results.length).toBe(3);
expect(results[0].label).toBe('test1');
expect(results[0].value).toBe('test1');
expect(results[0].type).toBe('int');
expect(results[1].label).toBe('test2');
expect(results[1].value).toBe('test2');
expect(results[1].type).toBe('char');
expect(results[2].label).toBe('test3');
expect(results[2].value).toBe('test3');
expect(results[2].type).toBe('bool');
});
});
describe('When performing metricFindQuery with key, value columns', () => {
let results: MetricFindValue[];
const query = 'select * from atable';
const response = {
results: {
tempvar: {
frames: [
dataFrameToJSON(
createDataFrame({
fields: [
{ name: '__value', values: ['value1', 'value2', 'value3'] },
{ name: '__text', values: ['aTitle', 'aTitle2', 'aTitle3'] },
],
})
),
],
},
},
};
beforeEach(() => {
fetchMock.mockImplementation(() => of(createFetchResponse(response)));
return ctx.ds.metricFindQuery(query, { range: defaultRange }).then((data) => {
results = data;
});
});
it('should return list of as text, value', () => {
expect(results.length).toBe(3);
expect(results[0].text).toBe('aTitle');
expect(results[0].value).toBe('value1');
expect(results[2].text).toBe('aTitle3');
expect(results[2].value).toBe('value3');
});
});
describe('When performing metricFindQuery without key, value columns', () => {
let results: MetricFindValue[];
const query = 'select id, values from atable';
const response = {
results: {
tempvar: {
refId: 'tempvar',
frames: [
dataFrameToJSON(
createDataFrame({
fields: [
{ name: 'id', values: [1, 2, 3] },
{ name: 'values', values: ['test1', 'test2', 'test3'] },
],
meta: {
executedQueryString: 'select id, values from atable',
},
})
),
],
},
},
};
beforeEach(() => {
fetchMock.mockImplementation(() => of(createFetchResponse(response)));
return ctx.ds.metricFindQuery(query, { range: defaultRange }).then((data) => {
results = data;
});
});
it('should return list of all field values as text', () => {
expect(results).toEqual([
{ text: 1 },
{ text: 2 },
{ text: 3 },
{ text: 'test1' },
{ text: 'test2' },
{ text: 'test3' },
]);
});
});
describe('When performing metricFindQuery with key, value columns and with duplicate keys', () => {
let results: MetricFindValue[];
const query = 'select * from atable';
const response = {
results: {
tempvar: {
frames: [
dataFrameToJSON(
createDataFrame({
fields: [
{ name: '__text', values: ['aTitle', 'aTitle', 'aTitle'] },
{ name: '__value', values: ['same', 'same', 'diff'] },
],
})
),
],
},
},
};
beforeEach(() => {
fetchMock.mockImplementation(() => of(createFetchResponse(response)));
return ctx.ds.metricFindQuery(query, { range: defaultRange }).then((data) => {
results = data;
});
});
it('should return list of unique keys', () => {
expect(results.length).toBe(1);
expect(results[0].text).toBe('aTitle');
expect(results[0].value).toBe('same');
});
});
describe('When performing metricFindQuery', () => {
const query = 'select * from atable';
const response = {
results: {
tempvar: {
frames: [
dataFrameToJSON(
createDataFrame({
fields: [{ name: 'test', values: ['aTitle'] }],
})
),
],
},
},
};
const time: TimeRange = {
from: dateTime(1521545610656),
to: dateTime(1521546251185),
raw: { from: '1521545610656', to: '1521546251185' },
};
beforeEach(() => {
fetchMock.mockImplementation(() => of(createFetchResponse(response)));
return ctx.ds.metricFindQuery(query, { range: time });
});
it('should pass timerange to datasourceRequest', () => {
expect(fetchMock).toBeCalledTimes(1);
expect(fetchMock.mock.calls[0][0].data.from).toBe(time.from.valueOf().toString());
expect(fetchMock.mock.calls[0][0].data.to).toBe(time.to.valueOf().toString());
expect(fetchMock.mock.calls[0][0].data.queries.length).toBe(1);
expect(fetchMock.mock.calls[0][0].data.queries[0].rawSql).toBe(query);
});
});
describe('When interpolating variables', () => {
describe('and value is a string', () => {
it('should return an unquoted value', () => {
expect(ctx.ds.interpolateVariable('abc', ctx.variable)).toEqual('abc');
});
});
describe('and value is a number', () => {
it('should return an unquoted value', () => {
expect(ctx.ds.interpolateVariable(1000, ctx.variable)).toEqual(1000);
});
});
describe('and value is an array of strings', () => {
it('should return comma separated quoted values', () => {
expect(ctx.ds.interpolateVariable(['a', 'b', 'c'], ctx.variable)).toEqual("'a','b','c'");
});
});
describe('and variable allows multi-value and value is a string', () => {
it('should return a quoted value', () => {
ctx.variable.multi = true;
expect(ctx.ds.interpolateVariable('abc', ctx.variable)).toEqual("'abc'");
});
});
describe('and variable contains single quote', () => {
it('should return a quoted value', () => {
ctx.variable.multi = true;
expect(ctx.ds.interpolateVariable("a'bc", ctx.variable)).toEqual("'a''bc'");
});
});
describe('and variable allows all and value is a string', () => {
it('should return a quoted value', () => {
ctx.variable.includeAll = true;
expect(ctx.ds.interpolateVariable('abc', ctx.variable)).toEqual("'abc'");
});
});
});
describe('targetContainsTemplate', () => {
it('given query that contains template variable it should return true', () => {
const templateSrv = new TemplateSrv();
const rawSql = `SELECT
$__timeGroup(createdAt,'$summarize') as time,
avg(value) as value,
hostname as metric
FROM
grafana_metric
WHERE
$__timeFilter(createdAt) AND
measurement = 'logins.count' AND
hostname IN($host)
GROUP BY $__timeGroup(createdAt,'$summarize'), hostname
ORDER BY 1`;
const query: SQLQuery = {
rawSql,
refId: 'A',
};
templateSrv.init([
{ type: 'query', name: 'summarize', current: { value: '1m' } },
{ type: 'query', name: 'host', current: { value: 'a' } },
]);
const ds = new MssqlDatasource(instanceSettings);
Reflect.set(ds, 'templateSrv', templateSrv);
expect(ds.targetContainsTemplate(query)).toBeTruthy();
});
it('given query that only contains global template variable it should return false', () => {
const templateSrv: TemplateSrv = new TemplateSrv();
const rawSql = `SELECT
$__timeGroup(createdAt,'$__interval') as time,
avg(value) as value,
hostname as metric
FROM
grafana_metric
WHERE
$__timeFilter(createdAt) AND
measurement = 'logins.count'
GROUP BY $__timeGroup(createdAt,'$summarize'), hostname
ORDER BY 1`;
const query: SQLQuery = {
rawSql,
refId: 'A',
};
templateSrv.init([
{ type: 'query', name: 'summarize', current: { value: '1m' } },
{ type: 'query', name: 'host', current: { value: 'a' } },
]);
const ds = new MssqlDatasource(instanceSettings);
Reflect.set(ds, 'templateSrv', templateSrv);
expect(ds.targetContainsTemplate(query)).toBeFalsy();
});
});
});