Library for working with recurrence rules for calendar dates.
[![NPM version][npm-image]][npm-url]
[![Build Status][ci-image]][ci-url]
[![js-standard-style][js-standard-image]][js-standard-url]
[![Downloads][downloads-image]][downloads-url]
[![Gitter][gitter-image]][gitter-url]
rrule.js supports recurrence rules as defined in the iCalendar
RFC, with a few important
differences. It is a partial port of the
rrule module from the excellent
python-dateutil library. On top of
that, it supports parsing and serialization of recurrence rules from and
to natural language.
gh-pages branch$ yarn add rrule
Includes optional TypeScript types
$ yarn add rrule # or $ npm install rrule
RRule:
import { datetime, RRule, RRuleSet, rrulestr } from 'rrule' // Create a rule: const rule = new RRule({ freq: RRule.WEEKLY, interval: 5, byweekday: [RRule.MO, RRule.FR], dtstart: datetime(2012, 2, 1, 10, 30), until: datetime(2012, 12, 31) }) // Get all occurrence dates (Date instances): rule.all() [ '2012-02-03T10:30:00.000Z', '2012-03-05T10:30:00.000Z', '2012-03-09T10:30:00.000Z', '2012-04-09T10:30:00.000Z', '2012-04-13T10:30:00.000Z', '2012-05-14T10:30:00.000Z', '2012-05-18T10:30:00.000Z', /* … */] // Get a slice: rule.between(datetime(2012, 8, 1), datetime(2012, 9, 1)) ['2012-08-27T10:30:00.000Z', '2012-08-31T10:30:00.000Z'] // Get an iCalendar RRULE string representation: // The output can be used with RRule.fromString(). rule.toString() "DTSTART:20120201T093000Z\nRRULE:FREQ=WEEKLY;INTERVAL=5;UNTIL=20130130T230000Z;BYDAY=MO,FR" // Get a human-friendly text representation: // The output can be used with RRule.fromText(). rule.toText() "every 5 weeks on Monday, Friday until January 31, 2013"
RRuleSet:
const rruleSet = new RRuleSet() // Add a rrule to rruleSet rruleSet.rrule( new RRule({ freq: RRule.MONTHLY, count: 5, dtstart: datetime(2012, 2, 1, 10, 30), }) ) // Add a date to rruleSet rruleSet.rdate(datetime(2012, 7, 1, 10, 30)) // Add another date to rruleSet rruleSet.rdate(datetime(2012, 7, 2, 10, 30)) // Add a exclusion rrule to rruleSet rruleSet.exrule( new RRule({ freq: RRule.MONTHLY, count: 2, dtstart: datetime(2012, 3, 1, 10, 30), }) ) // Add a exclusion date to rruleSet rruleSet.exdate(datetime(2012, 5, 1, 10, 30)) // Get all occurrence dates (Date instances): rruleSet.all()[ ('2012-02-01T10:30:00.000Z', '2012-05-01T10:30:00.000Z', '2012-07-01T10:30:00.000Z', '2012-07-02T10:30:00.000Z') ] // Get a slice: rruleSet.between(datetime(2012, 2, 1), datetime(2012, 6, 2))[ ('2012-05-01T10:30:00.000Z', '2012-07-01T10:30:00.000Z') ] // To string rruleSet.valueOf()[ ('DTSTART:20120201T023000Z', 'RRULE:FREQ=MONTHLY;COUNT=5', 'RDATE:20120701T023000Z,20120702T023000Z', 'EXRULE:FREQ=MONTHLY;COUNT=2', 'EXDATE:20120601T023000Z') ] // To string rruleSet.toString() ;('["DTSTART:20120201T023000Z","RRULE:FREQ=MONTHLY;COUNT=5","RDATE:20120701T023000Z,20120702T023000Z","EXRULE:FREQ=MONTHLY;COUNT=2","EXDATE:20120601T023000Z"]')
rrulestr:
// Parse a RRule string, return a RRule object rrulestr('DTSTART:20120201T023000Z\nRRULE:FREQ=MONTHLY;COUNT=5') // Parse a RRule string, return a RRuleSet object rrulestr('DTSTART:20120201T023000Z\nRRULE:FREQ=MONTHLY;COUNT=5', { forceset: true, }) // Parse a RRuleSet string, return a RRuleSet object rrulestr( 'DTSTART:20120201T023000Z\nRRULE:FREQ=MONTHLY;COUNT=5\nRDATE:20120701T023000Z,20120702T023000Z\nEXRULE:FREQ=MONTHLY;COUNT=2\nEXDATE:20120601T023000Z' )
Dates in JavaScript are tricky. RRule tries to support as much flexibility as possible without adding any large required 3rd party dependencies, but that means we also have some special rules.
By default, RRule deals in "floating" times or UTC timezones. If you want results in a specific timezone, RRule also provides timezone support. Either way, JavaScript's built-in "timezone" offset tends to just get in the way, so this library simply doesn't use it at all. All times are returned with zero offset, as though it didn't exist in JavaScript.
THE BOTTOM LINE: Returned "UTC" dates are always meant to be interpreted as dates in your local timezone. This may mean you have to do additional conversion to get the "correct" local time with offset applied.
For this reason, it is highly recommended to use timestamps in UTC eg. new Date(Date.UTC(...)). Returned dates will likewise be in UTC (except on Chrome, which always returns dates with a timezone offset). It's recommended to use the provided datetime() helper, which
creates dates in the correct format using a 1-based month.
For example:
// local machine zone is America/Los_Angeles const rule = RRule.fromString( "DTSTART;TZID=America/Denver:20181101T190000;\n" + "RRULE:FREQ=WEEKLY;BYDAY=MO,WE,TH;INTERVAL=1;COUNT=3" ) rule.all() [ 2018-11-01T18:00:00.000Z, 2018-11-05T18:00:00.000Z, 2018-11-07T18:00:00.000Z ] // Even though the given offset is `Z` (UTC), these are local times, not UTC times. // Each of these this is the correct local Pacific time of each recurrence in // America/Los_Angeles when it is 19:00 in America/Denver, including the DST shift. // You can get the local components by using the getUTC* methods eg: date.getUTCDate() // --> 1 date.getUTCHours() // --> 18
If you want to get the same times in true UTC, you may do so (e.g., using Luxon):
rule.all().map(date => DateTime.fromJSDate(date) .toUTC() .setZone('local', { keepLocalTime: true }) .toJSDate() ) [ 2018-11-02T01:00:00.000Z, 2018-11-06T02:00:00.000Z, 2018-11-08T02:00:00.000Z ] // These times are in true UTC; you can see the hours shift
For more examples see python-dateutil documentation.
Rrule also supports use of the TZID parameter in the
RFC using the
Intl API.
Support matrix for the Intl API applies. If you need to support additional environments,
please consider using a polyfill.
Example with TZID:
new RRule({ dtstart: datetime(2018, 2, 1, 10, 30), count: 1, tzid: 'Asia/Tokyo', }).all()[ // assuming the system timezone is set to America/Los_Angeles, you get: '2018-01-31T17:30:00.000Z' ] // which is the time in Los Angeles when it's 2018-02-01T10:30:00 in Tokyo.
Whether or not you use the TZID param, make sure to only use JS Date objects that are
represented in UTC to avoid unexpected timezone offsets being applied, for example:
// WRONG: Will produce dates with TZ offsets added new RRule({ freq: RRule.MONTHLY, dtstart: new Date(2018, 1, 1, 10, 30), until: new Date(2018, 2, 31), }).all()[('2018-02-01T18:30:00.000Z', '2018-03-01T18:30:00.000Z')] // RIGHT: Will produce dates with recurrences at the correct time new RRule({ freq: RRule.MONTHLY, dtstart: datetime(2018, 2, 1, 10, 30), until: datetime(2018, 3, 31), }).all()[('2018-02-01T10:30:00.000Z', '2018-03-01T10:30:00.000Z')]
RRule Constructornew RRule(options[, noCache=false])
The options argument mostly corresponds to the properties defined for RRULE in the
iCalendar RFC. Only freq is required.


免费创建高清无水印Sora视频
Vora是一个免费创建高清无水印Sora视频的AI工具


最适合小白的AI自动化工作流平台
无需编码,轻松生成可复用、可变现的AI自动化工作流

大模型驱动的Excel数据处理工具
基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。


AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。


AI论文写作指导平台
AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。


AI一键生成PPT,就用博思AIPPT!
博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。


AI赋能电商视觉革命,一站式智能商拍平台
潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。


企业专属的AI法律顾问
iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。


稳定高效的流量提升解决方 案,助力品牌曝光
稳定高效的流量提升解决方案,助力品牌曝光


最新版Sora2模型免费使用,一键生成无水印视频
最新版Sora2模型免费使用,一键生成无水印视频
最新AI工具、AI资讯
独家AI资源、AI项目落地

微信扫一扫关注公众号