我正在构建一个需要支持重复事件的组日历应用程序，但我提出的处理这些事件的所有解决方案似乎都很简单。我可以限制一个人可以看多远的未来，然后一次性生成所有事件。或者，我可以将事件存储为重复的，并在日历上动态显示它们，但如果有人想更改事件的特定实例的细节，则必须将它们转换为正常事件。
我相信有更好的办法，但我还没找到。对重复发生的事件建模的最佳方法是什么?在这种方法中，您可以更改或删除特定事件实例的细节?
(我使用Ruby，但请不要让这限制了你的回答。如果有ruby特定的库或其他东西，那么最好知道。)
当前回答
如果你有一个没有结束日期的重复约会怎么办?虽然空间很便宜，但你没有无限的空间，所以解决方案2在那里是行不通的……
我建议，“没有结束日期”可以解决到本世纪末的结束日期。即使是日常活动，场地数量也很便宜。
其他回答
您可以直接将事件存储在iCalendar格式中，这允许无限重复、时区本地化等等。
您可以将这些存储在CalDAV服务器中，然后当您想要显示事件时，您可以使用CalDAV中定义的报告选项，要求服务器在所查看的时间段内扩展重复出现的事件。
或者你可以自己将它们存储在数据库中，并使用某种iCalendar解析库来进行扩展，而不需要PUT/GET/REPORT与后端CalDAV服务器进行对话。这可能是更多的工作-我相信CalDAV服务器隐藏的复杂性在某个地方。
从长远来看，以iCalendar格式保存事件可能会让事情变得更简单，因为人们总是希望将它们导出，以便放在其他软件中。
From these answers, I've sort of sifted out a solution. I really like the idea of the link concept. Recurring events could be a linked list, with the tail knowing its recurrence rule. Changing one event would then be easy, because the links stay in place, and deleting an event is easy as well - you just unlink an event, delete it, and re-link the event before and after it. You still have to query recurring events every time someone looks at a new time period never been looked at before on the calendar, but otherwise this is pretty clean.
我使用如下所述的数据库模式来存储递归参数
http://github.com/bakineggs/recurring_events_for
然后使用runt动态计算日期。
https://github.com/mlipper/runt
I would use a 'link' concept for all future recurring events. They are dynamically displayed in the calendar and link back to a single reference object. When events have taken place the link is broken and the event becomes a standalone instance. If you attempt to edit a recurring event then prompt to change all future items (i.e. change single linked reference) or change just that instance (in which case convert this to a standalone instance and then make change). The latter cased is slightly problematic as you need to keep track in your recurring list of all future events that were converted to single instance. But, this is entirely do-able.
因此，在本质上，有两类事件-单个实例和重复事件。
我简单地实现了这个功能!逻辑如下，首先需要两个表。RuleTable存储一般或回收父事件。ItemTable存储周期事件。例如，当您创建一个循环事件时，开始时间为2015年11月6日，结束时间为12月6日(或永远)，周期为一周。在RuleTable中插入数据，字段如下:
TableID: 1 Name: cycleA
StartTime: 6 November 2014 (I kept thenumber of milliseconds),
EndTime: 6 November 2015 (if it is repeated forever, and you can keep the value -1)
Cycletype: WeekLy.
现在您想查询11月20日至12月20日的数据。你可以写一个函数RecurringEventBE(长开始，长结束)，根据开始和结束的时间，WeekLy，你可以计算出你想要的集合，< cycleA11.20, cycleA 11.27, cycleA 12.4 ......>。 除了11月6日，其余时间我都称他为虚拟事件。当用户在之后更改虚拟事件的名称(例如cycleA11.27)时，您将数据插入ItemTable中。各字段如下:
TableID: 1
Name, cycleB
StartTime, 27 November 2014
EndTime,November 6 2015
Cycletype, WeekLy
Foreignkey, 1 (pointingto the table recycle paternal events).
在函数RecurringEventBE(长开始，长结束)中，使用此数据覆盖虚拟事件(cycleB11.27) 对不起，我的英语不好，我尽力了。
这是我的RecurringEventBE:
public static List<Map<String, Object>> recurringData(Context context,
long start, long end) { // 重复事件的模板处理，生成虚拟事件(根据日期段)
long a = System.currentTimeMillis();
List<Map<String, Object>> finalDataList = new ArrayList<Map<String, Object>>();
List<Map<String, Object>> tDataList = BillsDao.selectTemplateBillRuleByBE(context); //RuleTable，just select recurringEvent
for (Map<String, Object> iMap : tDataList) {
int _id = (Integer) iMap.get("_id");
long bk_billDuedate = (Long) iMap.get("ep_billDueDate"); // 相当于事件的开始日期 Start
long bk_billEndDate = (Long) iMap.get("ep_billEndDate"); // 重复事件的截止日期 End
int bk_billRepeatType = (Integer) iMap.get("ep_recurringType"); // recurring Type
long startDate = 0; // 进一步精确判断日记起止点，保证了该段时间断获取的数据不未空，减少不必要的处理
long endDate = 0;
if (bk_billEndDate == -1) { // 永远重复事件的处理
if (end >= bk_billDuedate) {
endDate = end;
startDate = (bk_billDuedate <= start) ? start : bk_billDuedate; // 进一步判断日记起止点，这样就保证了该段时间断获取的数据不未空
}
} else {
if (start <= bk_billEndDate && end >= bk_billDuedate) { // 首先判断起止时间是否落在重复区间，表示该段时间有重复事件
endDate = (bk_billEndDate >= end) ? end : bk_billEndDate;
startDate = (bk_billDuedate <= start) ? start : bk_billDuedate; // 进一步判断日记起止点，这样就保证了该段时间断获取的数据不未空
}
}
Calendar calendar = Calendar.getInstance();
calendar.setTimeInMillis(bk_billDuedate); // 设置重复的开始日期
long virtualLong = bk_billDuedate; // 虚拟时间，后面根据规则累加计算
List<Map<String, Object>> virtualDataList = new ArrayList<Map<String, Object>>();// 虚拟事件
if (virtualLong == startDate) { // 所要求的时间,小于等于父本时间，说明这个是父事件数据，即第一条父本数据
Map<String, Object> bMap = new HashMap<String, Object>();
bMap.putAll(iMap);
bMap.put("indexflag", 1); // 1表示父本事件
virtualDataList.add(bMap);
}
long before_times = 0; // 计算从要求时间start到重复开始时间的次数,用于定位第一次发生在请求时间段落的时间点
long remainder = -1;
if (bk_billRepeatType == 1) {
before_times = (startDate - bk_billDuedate) / (7 * DAYMILLIS);
remainder = (startDate - bk_billDuedate) % (7 * DAYMILLIS);
} else if (bk_billRepeatType == 2) {
before_times = (startDate - bk_billDuedate) / (14 * DAYMILLIS);
remainder = (startDate - bk_billDuedate) % (14 * DAYMILLIS);
} else if (bk_billRepeatType == 3) {
before_times = (startDate - bk_billDuedate) / (28 * DAYMILLIS);
remainder = (startDate - bk_billDuedate) % (28 * DAYMILLIS);
} else if (bk_billRepeatType == 4) {
before_times = (startDate - bk_billDuedate) / (15 * DAYMILLIS);
remainder = (startDate - bk_billDuedate) % (15 * DAYMILLIS);
} else if (bk_billRepeatType == 5) {
do { // 该段代码根据日历处理每天重复事件，当事件比较多的时候效率比较低
Calendar calendarCloneCalendar = (Calendar) calendar
.clone();
int currentMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
calendarCloneCalendar.add(Calendar.MONTH, 1);
int nextMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
if (currentMonthDay > nextMonthDay) {
calendar.add(Calendar.MONTH, 1 + 1);
virtualLong = calendar.getTimeInMillis();
} else {
calendar.add(Calendar.MONTH, 1);
virtualLong = calendar.getTimeInMillis();
}
} while (virtualLong < startDate);
} else if (bk_billRepeatType == 6) {
do { // 该段代码根据日历处理每天重复事件，当事件比较多的时候效率比较低
Calendar calendarCloneCalendar = (Calendar) calendar
.clone();
int currentMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
calendarCloneCalendar.add(Calendar.MONTH, 2);
int nextMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
if (currentMonthDay > nextMonthDay) {
calendar.add(Calendar.MONTH, 2 + 2);
virtualLong = calendar.getTimeInMillis();
} else {
calendar.add(Calendar.MONTH, 2);
virtualLong = calendar.getTimeInMillis();
}
} while (virtualLong < startDate);
} else if (bk_billRepeatType == 7) {
do { // 该段代码根据日历处理每天重复事件，当事件比较多的时候效率比较低
Calendar calendarCloneCalendar = (Calendar) calendar
.clone();
int currentMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
calendarCloneCalendar.add(Calendar.MONTH, 3);
int nextMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
if (currentMonthDay > nextMonthDay) {
calendar.add(Calendar.MONTH, 3 + 3);
virtualLong = calendar.getTimeInMillis();
} else {
calendar.add(Calendar.MONTH, 3);
virtualLong = calendar.getTimeInMillis();
}
} while (virtualLong < startDate);
} else if (bk_billRepeatType == 8) {
do {
calendar.add(Calendar.YEAR, 1);
virtualLong = calendar.getTimeInMillis();
} while (virtualLong < startDate);
}
if (remainder == 0 && virtualLong != startDate) { // 当整除的时候，说明当月的第一天也是虚拟事件，判断排除为父本，然后添加。不处理,一个月第一天事件会丢失
before_times = before_times - 1;
}
if (bk_billRepeatType == 1) { // 单独处理天事件，计算出第一次出现在时间段的事件时间
virtualLong = bk_billDuedate + (before_times + 1) * 7
* (DAYMILLIS);
calendar.setTimeInMillis(virtualLong);
} else if (bk_billRepeatType == 2) {
virtualLong = bk_billDuedate + (before_times + 1) * (2 * 7)
* DAYMILLIS;
calendar.setTimeInMillis(virtualLong);
} else if (bk_billRepeatType == 3) {
virtualLong = bk_billDuedate + (before_times + 1) * (4 * 7)
* DAYMILLIS;
calendar.setTimeInMillis(virtualLong);
} else if (bk_billRepeatType == 4) {
virtualLong = bk_billDuedate + (before_times + 1) * (15)
* DAYMILLIS;
calendar.setTimeInMillis(virtualLong);
}
while (startDate <= virtualLong && virtualLong <= endDate) { // 插入虚拟事件
Map<String, Object> bMap = new HashMap<String, Object>();
bMap.putAll(iMap);
bMap.put("ep_billDueDate", virtualLong);
bMap.put("indexflag", 2); // 2表示虚拟事件
virtualDataList.add(bMap);
if (bk_billRepeatType == 1) {
calendar.add(Calendar.DAY_OF_MONTH, 7);
} else if (bk_billRepeatType == 2) {
calendar.add(Calendar.DAY_OF_MONTH, 2 * 7);
} else if (bk_billRepeatType == 3) {
calendar.add(Calendar.DAY_OF_MONTH, 4 * 7);
} else if (bk_billRepeatType == 4) {
calendar.add(Calendar.DAY_OF_MONTH, 15);
} else if (bk_billRepeatType == 5) {
Calendar calendarCloneCalendar = (Calendar) calendar
.clone();
int currentMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
calendarCloneCalendar.add(Calendar.MONTH,
1);
int nextMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
if (currentMonthDay > nextMonthDay) {
calendar.add(Calendar.MONTH, 1
+ 1);
} else {
calendar.add(Calendar.MONTH, 1);
}
}else if (bk_billRepeatType == 6) {
Calendar calendarCloneCalendar = (Calendar) calendar
.clone();
int currentMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
calendarCloneCalendar.add(Calendar.MONTH,
2);
int nextMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
if (currentMonthDay > nextMonthDay) {
calendar.add(Calendar.MONTH, 2
+ 2);
} else {
calendar.add(Calendar.MONTH, 2);
}
}else if (bk_billRepeatType == 7) {
Calendar calendarCloneCalendar = (Calendar) calendar
.clone();
int currentMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
calendarCloneCalendar.add(Calendar.MONTH,
3);
int nextMonthDay = calendarCloneCalendar
.get(Calendar.DAY_OF_MONTH);
if (currentMonthDay > nextMonthDay) {
calendar.add(Calendar.MONTH, 3
+ 3);
} else {
calendar.add(Calendar.MONTH, 3);
}
} else if (bk_billRepeatType == 8) {
calendar.add(Calendar.YEAR, 1);
}
virtualLong = calendar.getTimeInMillis();
}
finalDataList.addAll(virtualDataList);
}// 遍历模板结束，产生结果为一个父本加若干虚事件的list
/*
* 开始处理重复特例事件特例事件，并且来时合并
*/
List<Map<String, Object>>oDataList = BillsDao.selectBillItemByBE(context, start, end);
Log.v("mtest", "特例结果大小" +oDataList );
List<Map<String, Object>> delectDataListf = new ArrayList<Map<String, Object>>(); // finalDataList要删除的结果
List<Map<String, Object>> delectDataListO = new ArrayList<Map<String, Object>>(); // oDataList要删除的结果
for (Map<String, Object> fMap : finalDataList) { // 遍历虚拟事件
int pbill_id = (Integer) fMap.get("_id");
long pdue_date = (Long) fMap.get("ep_billDueDate");
for (Map<String, Object> oMap : oDataList) {
int cbill_id = (Integer) oMap.get("billItemHasBillRule");
long cdue_date = (Long) oMap.get("ep_billDueDate");
int bk_billsDelete = (Integer) oMap.get("ep_billisDelete");
if (cbill_id == pbill_id) {
if (bk_billsDelete == 2) {// 改变了duedate的特殊事件
long old_due = (Long) oMap.get("ep_billItemDueDateNew");
if (old_due == pdue_date) {
delectDataListf.add(fMap);//该改变事件在时间范围内，保留oMap
}
} else if (bk_billsDelete == 1) {
if (cdue_date == pdue_date) {
delectDataListf.add(fMap);
delectDataListO.add(oMap);
}
} else {
if (cdue_date == pdue_date) {
delectDataListf.add(fMap);
}
}
}
}// 遍历特例事件结束
}// 遍历虚拟事件结束
// Log.v("mtest", "delectDataListf的大小"+delectDataListf.size());
// Log.v("mtest", "delectDataListO的大小"+delectDataListO.size());
finalDataList.removeAll(delectDataListf);
oDataList.removeAll(delectDataListO);
finalDataList.addAll(oDataList);
List<Map<String, Object>> mOrdinaryList = BillsDao.selectOrdinaryBillRuleByBE(context, start, end);
finalDataList.addAll(mOrdinaryList);
// Log.v("mtest", "finalDataList的大小"+finalDataList.size());
long b = System.currentTimeMillis();
Log.v("mtest", "算法耗时"+(b-a));
return finalDataList;
}
