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kibana/packages/kbn-rrule/rrule.test.ts
Zacqary Adam Xeper e31ede27de
[RAM] Remove third party RRule library, replace with own timezone-compliant lib (#152873) 
## Summary

Closes #152630

~Adds a fix for the weird UTC-but-not-really expected inputs in
rrule.js~

This PR removes the third-party `rrule` package and replaces it with
`@kbn/rrule`.

The third party RRule library's functions produced different results
depending on what system timezone you ran it in. It would output local
timestamps in UTC, making it impossible to do reliable math on them.
It's now replaced with our own library that passes all of our own tests
for the limited cross-section of the RRule spec that we need to support.
It's possible that it wouldn't stand up to the rigor of more complex
RRule queries, but it supports the ones that our Recurrence Scheduler UI
supports just fine.

### Checklist

- [x] [Unit or functional
tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html)
were updated or added to match the most common scenarios

---------

Co-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>
2023-07-02 17:03:45 -04:00

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/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License
* 2.0 and the Server Side Public License, v 1; you may not use this file except
* in compliance with, at your election, the Elastic License 2.0 or the Server
* Side Public License, v 1.
*/
import sinon from 'sinon';
import { RRule, Frequency, Weekday } from './rrule';
const DATE_2019 = '2019-01-01T00:00:00.000Z';
const DATE_2019_DECEMBER_19 = '2019-12-19T00:00:00.000Z';
const DATE_2019_FEB_28 = '2019-02-28T00:00:00.000Z';
const DATE_2020 = '2020-01-01T00:00:00.000Z';
const DATE_2020_MINUS_1_MONTH = '2019-12-01T00:00:00.000Z';
const DATE_2020_FEB_28 = '2020-02-28T00:00:00.000Z';
const DATE_2023 = '2023-01-01T00:00:00.000Z';
const DATE_2023_JAN_6_11PM = '2023-01-06T23:00:00Z';
const INVALID_DATE = '2020-01-01-01-01T:00:00:00Z';
const NOW = DATE_2020;
let fakeTimer: sinon.SinonFakeTimers;
describe('RRule', () => {
beforeAll(() => {
fakeTimer = sinon.useFakeTimers(new Date(NOW));
});
afterAll(() => fakeTimer.restore());
describe('frequency', () => {
it('works with yearly', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.YEARLY,
interval: 1,
tzid: 'UTC',
});
expect(rule.all(10)).toMatchInlineSnapshot(`
Array [
2019-01-01T00:00:00.000Z,
2020-01-01T00:00:00.000Z,
2021-01-01T00:00:00.000Z,
2022-01-01T00:00:00.000Z,
2023-01-01T00:00:00.000Z,
2024-01-01T00:00:00.000Z,
2025-01-01T00:00:00.000Z,
2026-01-01T00:00:00.000Z,
2027-01-01T00:00:00.000Z,
2028-01-01T00:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2020),
freq: Frequency.YEARLY,
interval: 3,
tzid: 'UTC',
});
expect(rule2.all(10)).toMatchInlineSnapshot(`
Array [
2020-01-01T00:00:00.000Z,
2023-01-01T00:00:00.000Z,
2026-01-01T00:00:00.000Z,
2029-01-01T00:00:00.000Z,
2032-01-01T00:00:00.000Z,
2035-01-01T00:00:00.000Z,
2038-01-01T00:00:00.000Z,
2041-01-01T00:00:00.000Z,
2044-01-01T00:00:00.000Z,
2047-01-01T00:00:00.000Z,
]
`);
});
it('works with monthly', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.MONTHLY,
interval: 1,
tzid: 'UTC',
});
expect(rule.all(15)).toMatchInlineSnapshot(`
Array [
2019-01-01T00:00:00.000Z,
2019-02-01T00:00:00.000Z,
2019-03-01T00:00:00.000Z,
2019-04-01T00:00:00.000Z,
2019-05-01T00:00:00.000Z,
2019-06-01T00:00:00.000Z,
2019-07-01T00:00:00.000Z,
2019-08-01T00:00:00.000Z,
2019-09-01T00:00:00.000Z,
2019-10-01T00:00:00.000Z,
2019-11-01T00:00:00.000Z,
2019-12-01T00:00:00.000Z,
2020-01-01T00:00:00.000Z,
2020-02-01T00:00:00.000Z,
2020-03-01T00:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.MONTHLY,
interval: 6,
tzid: 'UTC',
});
expect(rule2.all(6)).toMatchInlineSnapshot(`
Array [
2019-01-01T00:00:00.000Z,
2019-07-01T00:00:00.000Z,
2020-01-01T00:00:00.000Z,
2020-07-01T00:00:00.000Z,
2021-01-01T00:00:00.000Z,
2021-07-01T00:00:00.000Z,
]
`);
const rule3 = new RRule({
dtstart: new Date(DATE_2019),
bymonthday: [10, 20],
freq: Frequency.MONTHLY,
interval: 6,
tzid: 'UTC',
});
expect(rule3.all(6)).toMatchInlineSnapshot(`
Array [
2019-01-10T00:00:00.000Z,
2019-01-20T00:00:00.000Z,
2019-07-10T00:00:00.000Z,
2019-07-20T00:00:00.000Z,
2020-01-10T00:00:00.000Z,
2020-01-20T00:00:00.000Z,
]
`);
});
it('works with weekly', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.WEEKLY,
interval: 1,
tzid: 'UTC',
});
expect(rule.all(14)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:00:00.000Z,
2019-12-26T00:00:00.000Z,
2020-01-02T00:00:00.000Z,
2020-01-09T00:00:00.000Z,
2020-01-16T00:00:00.000Z,
2020-01-23T00:00:00.000Z,
2020-01-30T00:00:00.000Z,
2020-02-06T00:00:00.000Z,
2020-02-13T00:00:00.000Z,
2020-02-20T00:00:00.000Z,
2020-02-27T00:00:00.000Z,
2020-03-05T00:00:00.000Z,
2020-03-12T00:00:00.000Z,
2020-03-19T00:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.WEEKLY,
interval: 2,
tzid: 'UTC',
});
expect(rule2.all(14)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:00:00.000Z,
2020-01-02T00:00:00.000Z,
2020-01-16T00:00:00.000Z,
2020-01-30T00:00:00.000Z,
2020-02-13T00:00:00.000Z,
2020-02-27T00:00:00.000Z,
2020-03-12T00:00:00.000Z,
2020-03-26T00:00:00.000Z,
2020-04-09T00:00:00.000Z,
2020-04-23T00:00:00.000Z,
2020-05-07T00:00:00.000Z,
2020-05-21T00:00:00.000Z,
2020-06-04T00:00:00.000Z,
2020-06-18T00:00:00.000Z,
]
`);
});
it('works with daily', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.DAILY,
interval: 1,
tzid: 'UTC',
});
expect(rule.all(30)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:00:00.000Z,
2019-12-20T00:00:00.000Z,
2019-12-21T00:00:00.000Z,
2019-12-22T00:00:00.000Z,
2019-12-23T00:00:00.000Z,
2019-12-24T00:00:00.000Z,
2019-12-25T00:00:00.000Z,
2019-12-26T00:00:00.000Z,
2019-12-27T00:00:00.000Z,
2019-12-28T00:00:00.000Z,
2019-12-29T00:00:00.000Z,
2019-12-30T00:00:00.000Z,
2019-12-31T00:00:00.000Z,
2020-01-01T00:00:00.000Z,
2020-01-02T00:00:00.000Z,
2020-01-03T00:00:00.000Z,
2020-01-04T00:00:00.000Z,
2020-01-05T00:00:00.000Z,
2020-01-06T00:00:00.000Z,
2020-01-07T00:00:00.000Z,
2020-01-08T00:00:00.000Z,
2020-01-09T00:00:00.000Z,
2020-01-10T00:00:00.000Z,
2020-01-11T00:00:00.000Z,
2020-01-12T00:00:00.000Z,
2020-01-13T00:00:00.000Z,
2020-01-14T00:00:00.000Z,
2020-01-15T00:00:00.000Z,
2020-01-16T00:00:00.000Z,
2020-01-17T00:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.DAILY,
interval: 48,
tzid: 'UTC',
});
expect(rule2.all(12)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:00:00.000Z,
2020-02-05T00:00:00.000Z,
2020-03-24T00:00:00.000Z,
2020-05-11T00:00:00.000Z,
2020-06-28T00:00:00.000Z,
2020-08-15T00:00:00.000Z,
2020-10-02T00:00:00.000Z,
2020-11-19T00:00:00.000Z,
2021-01-06T00:00:00.000Z,
2021-02-23T00:00:00.000Z,
2021-04-12T00:00:00.000Z,
2021-05-30T00:00:00.000Z,
]
`);
const rule3 = new RRule({
dtstart: new Date(DATE_2019_FEB_28),
freq: Frequency.DAILY,
interval: 1,
tzid: 'UTC',
});
expect(rule3.all(6)).toMatchInlineSnapshot(`
Array [
2019-02-28T00:00:00.000Z,
2019-03-01T00:00:00.000Z,
2019-03-02T00:00:00.000Z,
2019-03-03T00:00:00.000Z,
2019-03-04T00:00:00.000Z,
2019-03-05T00:00:00.000Z,
]
`);
const rule4 = new RRule({
dtstart: new Date(DATE_2020_FEB_28),
freq: Frequency.DAILY,
interval: 1,
tzid: 'UTC',
});
expect(rule4.all(6)).toMatchInlineSnapshot(`
Array [
2020-02-28T00:00:00.000Z,
2020-02-29T00:00:00.000Z,
2020-03-01T00:00:00.000Z,
2020-03-02T00:00:00.000Z,
2020-03-03T00:00:00.000Z,
2020-03-04T00:00:00.000Z,
]
`);
});
it('works with hourly', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.HOURLY,
interval: 1,
tzid: 'UTC',
});
expect(rule.all(30)).toMatchInlineSnapshot(`
Array [
2019-01-01T00:00:00.000Z,
2019-01-01T01:00:00.000Z,
2019-01-01T02:00:00.000Z,
2019-01-01T03:00:00.000Z,
2019-01-01T04:00:00.000Z,
2019-01-01T05:00:00.000Z,
2019-01-01T06:00:00.000Z,
2019-01-01T07:00:00.000Z,
2019-01-01T08:00:00.000Z,
2019-01-01T09:00:00.000Z,
2019-01-01T10:00:00.000Z,
2019-01-01T11:00:00.000Z,
2019-01-01T12:00:00.000Z,
2019-01-01T13:00:00.000Z,
2019-01-01T14:00:00.000Z,
2019-01-01T15:00:00.000Z,
2019-01-01T16:00:00.000Z,
2019-01-01T17:00:00.000Z,
2019-01-01T18:00:00.000Z,
2019-01-01T19:00:00.000Z,
2019-01-01T20:00:00.000Z,
2019-01-01T21:00:00.000Z,
2019-01-01T22:00:00.000Z,
2019-01-01T23:00:00.000Z,
2019-01-02T00:00:00.000Z,
2019-01-02T01:00:00.000Z,
2019-01-02T02:00:00.000Z,
2019-01-02T03:00:00.000Z,
2019-01-02T04:00:00.000Z,
2019-01-02T05:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.HOURLY,
interval: 36,
tzid: 'UTC',
});
expect(rule2.all(30)).toMatchInlineSnapshot(`
Array [
2019-01-01T00:00:00.000Z,
2019-01-02T12:00:00.000Z,
2019-01-04T00:00:00.000Z,
2019-01-05T12:00:00.000Z,
2019-01-07T00:00:00.000Z,
2019-01-08T12:00:00.000Z,
2019-01-10T00:00:00.000Z,
2019-01-11T12:00:00.000Z,
2019-01-13T00:00:00.000Z,
2019-01-14T12:00:00.000Z,
2019-01-16T00:00:00.000Z,
2019-01-17T12:00:00.000Z,
2019-01-19T00:00:00.000Z,
2019-01-20T12:00:00.000Z,
2019-01-22T00:00:00.000Z,
2019-01-23T12:00:00.000Z,
2019-01-25T00:00:00.000Z,
2019-01-26T12:00:00.000Z,
2019-01-28T00:00:00.000Z,
2019-01-29T12:00:00.000Z,
2019-01-31T00:00:00.000Z,
2019-02-01T12:00:00.000Z,
2019-02-03T00:00:00.000Z,
2019-02-04T12:00:00.000Z,
2019-02-06T00:00:00.000Z,
2019-02-07T12:00:00.000Z,
2019-02-09T00:00:00.000Z,
2019-02-10T12:00:00.000Z,
2019-02-12T00:00:00.000Z,
2019-02-13T12:00:00.000Z,
]
`);
});
it('works with minutely', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.MINUTELY,
interval: 15,
tzid: 'UTC',
});
expect(rule.all(10)).toMatchInlineSnapshot(`
Array [
2019-01-01T00:00:00.000Z,
2019-01-01T00:15:00.000Z,
2019-01-01T00:30:00.000Z,
2019-01-01T00:45:00.000Z,
2019-01-01T01:00:00.000Z,
2019-01-01T01:15:00.000Z,
2019-01-01T01:30:00.000Z,
2019-01-01T01:45:00.000Z,
2019-01-01T02:00:00.000Z,
2019-01-01T02:15:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.MINUTELY,
interval: 36,
tzid: 'UTC',
});
expect(rule2.all(30)).toMatchInlineSnapshot(`
Array [
2019-01-01T00:00:00.000Z,
2019-01-01T00:36:00.000Z,
2019-01-01T01:12:00.000Z,
2019-01-01T01:48:00.000Z,
2019-01-01T02:24:00.000Z,
2019-01-01T03:00:00.000Z,
2019-01-01T03:36:00.000Z,
2019-01-01T04:12:00.000Z,
2019-01-01T04:48:00.000Z,
2019-01-01T05:24:00.000Z,
2019-01-01T06:00:00.000Z,
2019-01-01T06:36:00.000Z,
2019-01-01T07:12:00.000Z,
2019-01-01T07:48:00.000Z,
2019-01-01T08:24:00.000Z,
2019-01-01T09:00:00.000Z,
2019-01-01T09:36:00.000Z,
2019-01-01T10:12:00.000Z,
2019-01-01T10:48:00.000Z,
2019-01-01T11:24:00.000Z,
2019-01-01T12:00:00.000Z,
2019-01-01T12:36:00.000Z,
2019-01-01T13:12:00.000Z,
2019-01-01T13:48:00.000Z,
2019-01-01T14:24:00.000Z,
2019-01-01T15:00:00.000Z,
2019-01-01T15:36:00.000Z,
2019-01-01T16:12:00.000Z,
2019-01-01T16:48:00.000Z,
2019-01-01T17:24:00.000Z,
]
`);
});
});
it('works with until', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.MONTHLY,
interval: 1,
tzid: 'UTC',
until: new Date(DATE_2020_MINUS_1_MONTH),
});
expect(rule.all().length).toBe(12);
});
it('works with count', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.MONTHLY,
interval: 1,
tzid: 'UTC',
count: 20,
});
expect(rule.all()).toMatchInlineSnapshot(`
Array [
2019-01-01T00:00:00.000Z,
2019-02-01T00:00:00.000Z,
2019-03-01T00:00:00.000Z,
2019-04-01T00:00:00.000Z,
2019-05-01T00:00:00.000Z,
2019-06-01T00:00:00.000Z,
2019-07-01T00:00:00.000Z,
2019-08-01T00:00:00.000Z,
2019-09-01T00:00:00.000Z,
2019-10-01T00:00:00.000Z,
2019-11-01T00:00:00.000Z,
2019-12-01T00:00:00.000Z,
2020-01-01T00:00:00.000Z,
2020-02-01T00:00:00.000Z,
2020-03-01T00:00:00.000Z,
2020-04-01T00:00:00.000Z,
2020-05-01T00:00:00.000Z,
2020-06-01T00:00:00.000Z,
2020-07-01T00:00:00.000Z,
2020-08-01T00:00:00.000Z,
]
`);
});
describe('byweekday', () => {
it('works with weekly frequency', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.WEEKLY,
interval: 1,
tzid: 'UTC',
byweekday: [Weekday.TH],
});
expect(rule.all(14)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:00:00.000Z,
2019-12-26T00:00:00.000Z,
2020-01-02T00:00:00.000Z,
2020-01-09T00:00:00.000Z,
2020-01-16T00:00:00.000Z,
2020-01-23T00:00:00.000Z,
2020-01-30T00:00:00.000Z,
2020-02-06T00:00:00.000Z,
2020-02-13T00:00:00.000Z,
2020-02-20T00:00:00.000Z,
2020-02-27T00:00:00.000Z,
2020-03-05T00:00:00.000Z,
2020-03-12T00:00:00.000Z,
2020-03-19T00:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.WEEKLY,
interval: 1,
tzid: 'UTC',
byweekday: [Weekday.SA, Weekday.SU, Weekday.MO],
});
expect(rule2.all(9)).toMatchInlineSnapshot(`
Array [
2019-01-05T00:00:00.000Z,
2019-01-06T00:00:00.000Z,
2019-01-07T00:00:00.000Z,
2019-01-12T00:00:00.000Z,
2019-01-13T00:00:00.000Z,
2019-01-14T00:00:00.000Z,
2019-01-19T00:00:00.000Z,
2019-01-20T00:00:00.000Z,
2019-01-21T00:00:00.000Z,
]
`);
});
it('works with daily frequency by behaving like weekly frequency', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.DAILY,
interval: 1,
tzid: 'UTC',
byweekday: [Weekday.TH],
});
expect(rule.all(14)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:00:00.000Z,
2019-12-26T00:00:00.000Z,
2020-01-02T00:00:00.000Z,
2020-01-09T00:00:00.000Z,
2020-01-16T00:00:00.000Z,
2020-01-23T00:00:00.000Z,
2020-01-30T00:00:00.000Z,
2020-02-06T00:00:00.000Z,
2020-02-13T00:00:00.000Z,
2020-02-20T00:00:00.000Z,
2020-02-27T00:00:00.000Z,
2020-03-05T00:00:00.000Z,
2020-03-12T00:00:00.000Z,
2020-03-19T00:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.WEEKLY,
interval: 1,
tzid: 'UTC',
byweekday: [Weekday.SA, Weekday.SU, Weekday.MO],
});
expect(rule2.all(9)).toMatchInlineSnapshot(`
Array [
2019-01-05T00:00:00.000Z,
2019-01-06T00:00:00.000Z,
2019-01-07T00:00:00.000Z,
2019-01-12T00:00:00.000Z,
2019-01-13T00:00:00.000Z,
2019-01-14T00:00:00.000Z,
2019-01-19T00:00:00.000Z,
2019-01-20T00:00:00.000Z,
2019-01-21T00:00:00.000Z,
]
`);
});
it('works with monthly frequency with non-setpos syntax by behaving like weekly frequency', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.DAILY,
interval: 1,
tzid: 'UTC',
byweekday: [Weekday.TH],
});
expect(rule.all(14)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:00:00.000Z,
2019-12-26T00:00:00.000Z,
2020-01-02T00:00:00.000Z,
2020-01-09T00:00:00.000Z,
2020-01-16T00:00:00.000Z,
2020-01-23T00:00:00.000Z,
2020-01-30T00:00:00.000Z,
2020-02-06T00:00:00.000Z,
2020-02-13T00:00:00.000Z,
2020-02-20T00:00:00.000Z,
2020-02-27T00:00:00.000Z,
2020-03-05T00:00:00.000Z,
2020-03-12T00:00:00.000Z,
2020-03-19T00:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2019),
freq: Frequency.WEEKLY,
interval: 1,
tzid: 'UTC',
byweekday: [Weekday.SA, Weekday.SU, Weekday.MO],
});
expect(rule2.all(9)).toMatchInlineSnapshot(`
Array [
2019-01-05T00:00:00.000Z,
2019-01-06T00:00:00.000Z,
2019-01-07T00:00:00.000Z,
2019-01-12T00:00:00.000Z,
2019-01-13T00:00:00.000Z,
2019-01-14T00:00:00.000Z,
2019-01-19T00:00:00.000Z,
2019-01-20T00:00:00.000Z,
2019-01-21T00:00:00.000Z,
]
`);
});
it('works with monthly frequency using setpos syntax', () => {
const rule = new RRule({
dtstart: new Date(DATE_2023),
freq: Frequency.MONTHLY,
interval: 1,
tzid: 'UTC',
byweekday: ['+1TU', '+2TU', '-1FR', '-2FR'],
});
const result = rule.all(12);
expect(result).toMatchInlineSnapshot(`
Array [
2023-01-03T00:00:00.000Z,
2023-01-10T00:00:00.000Z,
2023-01-20T00:00:00.000Z,
2023-01-27T00:00:00.000Z,
2023-02-07T00:00:00.000Z,
2023-02-14T00:00:00.000Z,
2023-02-17T00:00:00.000Z,
2023-02-24T00:00:00.000Z,
2023-03-07T00:00:00.000Z,
2023-03-14T00:00:00.000Z,
2023-03-24T00:00:00.000Z,
2023-03-31T00:00:00.000Z,
]
`);
});
it('works with timezones', () => {
const rule = new RRule({
dtstart: new Date(DATE_2023_JAN_6_11PM),
freq: Frequency.WEEKLY,
interval: 1,
tzid: 'Europe/Madrid',
byweekday: [Weekday.SA],
});
expect(rule.all(12)).toMatchInlineSnapshot(`
Array [
2023-01-06T23:00:00.000Z,
2023-01-13T23:00:00.000Z,
2023-01-20T23:00:00.000Z,
2023-01-27T23:00:00.000Z,
2023-02-03T23:00:00.000Z,
2023-02-10T23:00:00.000Z,
2023-02-17T23:00:00.000Z,
2023-02-24T23:00:00.000Z,
2023-03-03T23:00:00.000Z,
2023-03-10T23:00:00.000Z,
2023-03-17T23:00:00.000Z,
2023-03-24T23:00:00.000Z,
]
`);
const rule2 = new RRule({
dtstart: new Date(DATE_2023_JAN_6_11PM),
freq: Frequency.WEEKLY,
interval: 1,
tzid: 'UTC',
byweekday: [Weekday.SA],
});
expect(rule2.all(12)).toMatchInlineSnapshot(`
Array [
2023-01-07T23:00:00.000Z,
2023-01-14T23:00:00.000Z,
2023-01-21T23:00:00.000Z,
2023-01-28T23:00:00.000Z,
2023-02-04T23:00:00.000Z,
2023-02-11T23:00:00.000Z,
2023-02-18T23:00:00.000Z,
2023-02-25T23:00:00.000Z,
2023-03-04T23:00:00.000Z,
2023-03-11T23:00:00.000Z,
2023-03-18T23:00:00.000Z,
2023-03-25T23:00:00.000Z,
]
`);
});
});
describe('byhour, byminute, bysecond', () => {
it('works with daily frequency', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.DAILY,
interval: 1,
tzid: 'UTC',
byhour: [14],
byminute: [30],
bysecond: [0, 15],
});
expect(rule.all(14)).toMatchInlineSnapshot(`
Array [
2019-12-19T14:30:00.000Z,
2019-12-19T14:30:15.000Z,
2019-12-20T14:30:00.000Z,
2019-12-20T14:30:15.000Z,
2019-12-21T14:30:00.000Z,
2019-12-21T14:30:15.000Z,
2019-12-22T14:30:00.000Z,
2019-12-22T14:30:15.000Z,
2019-12-23T14:30:00.000Z,
2019-12-23T14:30:15.000Z,
2019-12-24T14:30:00.000Z,
2019-12-24T14:30:15.000Z,
2019-12-25T14:30:00.000Z,
2019-12-25T14:30:15.000Z,
]
`);
});
it('works with hourly frequency', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.HOURLY,
interval: 1,
tzid: 'UTC',
byminute: [15, 30],
bysecond: [30, 0],
});
expect(rule.all(14)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:15:30.000Z,
2019-12-19T00:15:00.000Z,
2019-12-19T00:30:30.000Z,
2019-12-19T00:30:00.000Z,
2019-12-19T01:15:30.000Z,
2019-12-19T01:15:00.000Z,
2019-12-19T01:30:30.000Z,
2019-12-19T01:30:00.000Z,
2019-12-19T02:15:30.000Z,
2019-12-19T02:15:00.000Z,
2019-12-19T02:30:30.000Z,
2019-12-19T02:30:00.000Z,
2019-12-19T03:15:30.000Z,
2019-12-19T03:15:00.000Z,
]
`);
});
it('works with minutely frequency', () => {
const rule = new RRule({
dtstart: new Date(DATE_2019_DECEMBER_19),
freq: Frequency.HOURLY,
interval: 1,
tzid: 'UTC',
bysecond: [10, 30, 58],
});
expect(rule.all(14)).toMatchInlineSnapshot(`
Array [
2019-12-19T00:00:10.000Z,
2019-12-19T00:00:30.000Z,
2019-12-19T00:00:58.000Z,
2019-12-19T00:01:10.000Z,
2019-12-19T00:01:30.000Z,
2019-12-19T00:01:58.000Z,
2019-12-19T00:02:10.000Z,
2019-12-19T00:02:30.000Z,
2019-12-19T00:02:58.000Z,
2019-12-19T00:03:10.000Z,
2019-12-19T00:03:30.000Z,
2019-12-19T00:03:58.000Z,
2019-12-19T00:04:10.000Z,
2019-12-19T00:04:30.000Z,
]
`);
});
});
describe('byyearday', () => {
it('respects leap years', () => {
const rule3 = new RRule({
dtstart: new Date(DATE_2020),
freq: Frequency.YEARLY,
byyearday: [92],
interval: 1,
tzid: 'UTC',
});
expect(rule3.all(10)).toMatchInlineSnapshot(`
Array [
2020-04-01T00:00:00.000Z,
2021-04-02T00:00:00.000Z,
2022-04-02T00:00:00.000Z,
2023-04-02T00:00:00.000Z,
2024-04-01T00:00:00.000Z,
2025-04-02T00:00:00.000Z,
2026-04-02T00:00:00.000Z,
2027-04-02T00:00:00.000Z,
2028-04-01T00:00:00.000Z,
2029-04-02T00:00:00.000Z,
]
`);
});
});
describe('error handling', () => {
it('throws an error on an invalid dtstart', () => {
const testFn = () =>
new RRule({
dtstart: new Date(INVALID_DATE),
freq: Frequency.HOURLY,
interval: 1,
tzid: 'UTC',
});
expect(testFn).toThrowErrorMatchingInlineSnapshot(
`"Cannot create RRule: dtstart is an invalid date"`
);
});
it('throws an error on an invalid until', () => {
const testFn = () =>
new RRule({
dtstart: new Date(DATE_2020),
until: new Date(INVALID_DATE),
freq: Frequency.HOURLY,
interval: 1,
tzid: 'UTC',
});
expect(testFn).toThrowErrorMatchingInlineSnapshot(
`"Cannot create RRule: until is an invalid date"`
);
});
});
});
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