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add tests for custom intervals time series
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+303
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‎packages/cubejs-client-core/src/tests/ResultSet.test.js‎

Lines changed: 301 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -102,6 +102,303 @@ describe('ResultSet', () => {
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];
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expect(resultSet.timeSeries(timeDimension)).toEqual(output);
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});
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test('it generates array of dates - custom interval - 1 year, origin - 2020-01-01', () => {
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const resultSet = new ResultSet({});
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const timeDimension = {
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dateRange: ['2021-01-01', '2023-12-31'],
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granularity: 'one_year',
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dimension: 'Events.time'
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};
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const output = [
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'2021-01-01T00:00:00.000',
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'2022-01-01T00:00:00.000',
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'2023-01-01T00:00:00.000'
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];
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expect(resultSet.timeSeries(timeDimension, 1, {
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'Events.time.one_year': {
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title: 'Time Dimension',
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shortTitle: 'TD',
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type: 'time',
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granularity: {
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name: '1 year',
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title: '1 year',
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interval: '1 year',
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origin: '2020-01-01',
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},
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},
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})).toEqual(output);
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});
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test('it generates array of dates - custom interval - 1 year, origin - 2025-03-01', () => {
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const resultSet = new ResultSet({});
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const timeDimension = {
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dateRange: ['2021-01-01', '2022-12-31'],
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granularity: 'one_year',
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dimension: 'Events.time'
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};
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const output = [
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'2020-03-01T00:00:00.000',
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'2021-03-01T00:00:00.000',
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'2022-03-01T00:00:00.000',
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];
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expect(resultSet.timeSeries(timeDimension, 1, {
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'Events.time.one_year': {
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title: 'Time Dimension',
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shortTitle: 'TD',
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type: 'time',
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granularity: {
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name: '1 year',
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title: '1 year',
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interval: '1 year',
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origin: '2025-03-01',
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},
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},
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})).toEqual(output);
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});
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test('it generates array of dates - custom interval - 1 year, offset - 2 months', () => {
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const resultSet = new ResultSet({});
162+
const timeDimension = {
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dateRange: ['2021-01-01', '2022-12-31'],
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granularity: 'one_year',
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dimension: 'Events.time'
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};
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const output = [
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'2020-03-01T00:00:00.000',
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'2021-03-01T00:00:00.000',
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'2022-03-01T00:00:00.000',
171+
];
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expect(resultSet.timeSeries(timeDimension, 1, {
173+
'Events.time.one_year': {
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title: 'Time Dimension',
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shortTitle: 'TD',
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type: 'time',
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granularity: {
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name: '1 year',
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title: '1 year',
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interval: '1 year',
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offset: '2 months',
182+
},
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},
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})).toEqual(output);
185+
});
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test('it generates array of dates - custom interval - 2 months, origin - 2019-01-01', () => {
188+
const resultSet = new ResultSet({});
189+
const timeDimension = {
190+
dateRange: ['2021-01-01', '2021-12-31'],
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granularity: 'two_months',
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dimension: 'Events.time'
193+
};
194+
const output = [
195+
'2021-01-01T00:00:00.000',
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'2021-03-01T00:00:00.000',
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'2021-05-01T00:00:00.000',
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'2021-07-01T00:00:00.000',
199+
'2021-09-01T00:00:00.000',
200+
'2021-11-01T00:00:00.000',
201+
];
202+
expect(resultSet.timeSeries(timeDimension, 1, {
203+
'Events.time.two_months': {
204+
title: 'Time Dimension',
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shortTitle: 'TD',
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type: 'time',
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granularity: {
208+
name: '2 months',
209+
title: '2 months',
210+
interval: '2 months',
211+
origin: '2019-01-01',
212+
},
213+
},
214+
})).toEqual(output);
215+
});
216+
217+
test('it generates array of dates - custom interval - 2 months, no offset', () => {
218+
const resultSet = new ResultSet({});
219+
const timeDimension = {
220+
dateRange: ['2021-01-01', '2021-12-31'],
221+
granularity: 'two_months',
222+
dimension: 'Events.time'
223+
};
224+
const output = [
225+
'2021-01-01T00:00:00.000',
226+
'2021-03-01T00:00:00.000',
227+
'2021-05-01T00:00:00.000',
228+
'2021-07-01T00:00:00.000',
229+
'2021-09-01T00:00:00.000',
230+
'2021-11-01T00:00:00.000',
231+
];
232+
expect(resultSet.timeSeries(timeDimension, 1, {
233+
'Events.time.two_months': {
234+
title: 'Time Dimension',
235+
shortTitle: 'TD',
236+
type: 'time',
237+
granularity: {
238+
name: '2 months',
239+
title: '2 months',
240+
interval: '2 months',
241+
},
242+
},
243+
})).toEqual(output);
244+
});
245+
246+
test('it generates array of dates - custom interval - 2 months, origin - 2019-03-15', () => {
247+
const resultSet = new ResultSet({});
248+
const timeDimension = {
249+
dateRange: ['2021-01-01', '2021-12-31'],
250+
granularity: 'two_months',
251+
dimension: 'Events.time'
252+
};
253+
const output = [
254+
'2020-11-15T00:00:00.000',
255+
'2021-01-15T00:00:00.000',
256+
'2021-03-15T00:00:00.000',
257+
'2021-05-15T00:00:00.000',
258+
'2021-07-15T00:00:00.000',
259+
'2021-09-15T00:00:00.000',
260+
'2021-11-15T00:00:00.000',
261+
];
262+
expect(resultSet.timeSeries(timeDimension, 1, {
263+
'Events.time.two_months': {
264+
title: 'Time Dimension',
265+
shortTitle: 'TD',
266+
type: 'time',
267+
granularity: {
268+
name: '2 months',
269+
title: '2 months',
270+
interval: '2 months',
271+
origin: '2019-03-15',
272+
},
273+
},
274+
})).toEqual(output);
275+
});
276+
277+
test('it generates array of dates - custom interval - 1 months 2 weeks 3 days, origin - 2021-01-25', () => {
278+
const resultSet = new ResultSet({});
279+
const timeDimension = {
280+
dateRange: ['2021-01-01', '2021-12-31'],
281+
granularity: 'one_mo_two_we_three_d',
282+
dimension: 'Events.time'
283+
};
284+
const output = [
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'2020-12-08T00:00:00.000',
286+
'2021-01-25T00:00:00.000',
287+
'2021-03-14T00:00:00.000',
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'2021-05-01T00:00:00.000',
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'2021-06-18T00:00:00.000',
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'2021-08-04T00:00:00.000',
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'2021-09-21T00:00:00.000',
292+
'2021-11-07T00:00:00.000',
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'2021-12-24T00:00:00.000',
294+
];
295+
expect(resultSet.timeSeries(timeDimension, 1, {
296+
'Events.time.one_mo_two_we_three_d': {
297+
title: 'Time Dimension',
298+
shortTitle: 'TD',
299+
type: 'time',
300+
granularity: {
301+
name: '1 months 2 weeks 3 days',
302+
title: '1 months 2 weeks 3 days',
303+
interval: '1 months 2 weeks 3 days',
304+
origin: '2021-01-25',
305+
},
306+
},
307+
})).toEqual(output);
308+
});
309+
310+
test('it generates array of dates - custom interval - 3 weeks, origin - 2020-12-15', () => {
311+
const resultSet = new ResultSet({});
312+
const timeDimension = {
313+
dateRange: ['2021-01-01', '2021-03-01'],
314+
granularity: 'three_weeks',
315+
dimension: 'Events.time'
316+
};
317+
const output = [
318+
'2020-12-15T00:00:00.000',
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'2021-01-05T00:00:00.000',
320+
'2021-01-26T00:00:00.000',
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'2021-02-16T00:00:00.000',
322+
];
323+
expect(resultSet.timeSeries(timeDimension, 1, {
324+
'Events.time.three_weeks': {
325+
title: 'Time Dimension',
326+
shortTitle: 'TD',
327+
type: 'time',
328+
granularity: {
329+
name: '3 weeks',
330+
title: '3 weeks',
331+
interval: '3 weeks',
332+
origin: '2020-12-15',
333+
},
334+
},
335+
})).toEqual(output);
336+
});
337+
338+
test('it generates array of dates - custom interval - 2 months 3 weeks 4 days 5 hours 6 minutes 7 seconds, origin - 2021-01-01', () => {
339+
const resultSet = new ResultSet({});
340+
const timeDimension = {
341+
dateRange: ['2021-01-01', '2021-12-31'],
342+
granularity: 'two_mo_3w_4d_5h_6m_7s',
343+
dimension: 'Events.time'
344+
};
345+
const output = [
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'2021-01-01T00:00:00.000',
347+
'2021-03-26T05:06:07.000',
348+
'2021-06-20T10:12:14.000',
349+
'2021-09-14T15:18:21.000',
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'2021-12-09T20:24:28.000',
351+
];
352+
expect(resultSet.timeSeries(timeDimension, 1, {
353+
'Events.time.two_mo_3w_4d_5h_6m_7s': {
354+
title: 'Time Dimension',
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shortTitle: 'TD',
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type: 'time',
357+
granularity: {
358+
name: 'two_mo_3w_4d_5h_6m_7s',
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title: 'two_mo_3w_4d_5h_6m_7s',
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interval: '2 months 3 weeks 4 days 5 hours 6 minutes 7 seconds',
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origin: '2021-01-01',
362+
},
363+
},
364+
})).toEqual(output);
365+
});
366+
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test('it generates array of dates - custom interval - 10 minutes 15 seconds, origin - 2021-02-01 09:59:45', () => {
368+
const resultSet = new ResultSet({});
369+
const timeDimension = {
370+
dateRange: ['2021-02-01 10:00:00', '2021-02-01 12:00:00'],
371+
granularity: 'ten_min_fifteen_sec',
372+
dimension: 'Events.time'
373+
};
374+
const output = [
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'2021-02-01T09:59:45.000',
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'2021-02-01T10:10:00.000',
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'2021-02-01T10:20:15.000',
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'2021-02-01T10:30:30.000',
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'2021-02-01T10:40:45.000',
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'2021-02-01T10:51:00.000',
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'2021-02-01T11:01:15.000',
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'2021-02-01T11:11:30.000',
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'2021-02-01T11:21:45.000',
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'2021-02-01T11:32:00.000',
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'2021-02-01T11:42:15.000',
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'2021-02-01T11:52:30.000',
387+
];
388+
expect(resultSet.timeSeries(timeDimension, 1, {
389+
'Events.time.ten_min_fifteen_sec': {
390+
title: 'Time Dimension',
391+
shortTitle: 'TD',
392+
type: 'time',
393+
granularity: {
394+
name: '10 minutes 15 seconds',
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title: '10 minutes 15 seconds',
396+
interval: '10 minutes 15 seconds',
397+
origin: '2021-02-01 09:59:45',
398+
},
399+
},
400+
})).toEqual(output);
401+
});
105402
});
106403

107404
describe('chartPivot', () => {
@@ -145,7 +442,7 @@ describe('ResultSet', () => {
145442
expect(resultSet.chartPivot()).toEqual([
146443
{
147444
x: 'Name 1',
148-
445+
149446
'Foo.count': 'Some string',
150447
xValues: [
151448
'Name 1'
@@ -194,7 +491,7 @@ describe('ResultSet', () => {
194491
expect(resultSet.chartPivot()).toEqual([
195492
{
196493
x: 'Name 1',
197-
494+
198495
'Foo.count': 0,
199496
xValues: [
200497
'Name 1'
@@ -291,7 +588,7 @@ describe('ResultSet', () => {
291588
expect(resultSet.chartPivot()).toEqual([
292589
{
293590
x: 'Name 1',
294-
591+
295592
'Foo.count': 10,
296593
xValues: [
297594
'Name 1'
@@ -343,7 +640,7 @@ describe('ResultSet', () => {
343640
expect(resultSet.chartPivot()).toEqual([
344641
{
345642
x: 'Name 1',
346-
643+
347644
'Foo.latestRun': new Date('2020-03-11T18:06:09.403Z'),
348645
xValues: [
349646
'Name 1'

‎packages/cubejs-client-core/src/tests/granularity.test.js‎

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Original file line numberDiff line numberDiff line change
@@ -1,3 +1,5 @@
1+
/* globals describe,test,expect */
2+
13
import 'jest';
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import dayjs from 'dayjs';
35
import ko from 'dayjs/locale/ko';

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