Page Comparison

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class Study {
  List<CustomEvent> customEvents;
  List<AutoCustomEvent> automaticCustomEvents;
  List<StudyBurst> studyBursts;
}

Custom events and automatic custom events will function identically to their App model counter-parts. For study-scoped events, but they will be configured with some additional information, through some model collections (objects will be in separate tablesreferenced for validation rather than the app-scoped custom events and automatic custom events (which are being replaced with study bursts, see below):

/**
 * This is the same event as in the App map, but with a display label.
 */
class CustomEvent {
  String identifier;
  ActivityEventUpdateType updateType;
}

Schedules will take a new array of StudyBurst objects which will be used to validate submitted events and to trigger schedules:

class Schedule2 /**{
 * AlmostList<StudyBurst> identicalstudyBursts;
to}
automatic
custom// eventsSession inis theaugmented App,to butreference withone aor labelmore study *bursts. andA asession means
of// findingmust allreferenced theat automaticleast customone eventsevent thatID are generated
 * from a or study burst configuration.ID (it */does classnot
AutomaticCustomEvent// {need to have Stringboth, identifier;but it can).
Stringclass studyBurstPrefix;Session {
 String originEventId;
  Period offsetList<String> studyBurstIds;
//}
positive
or negative
}

The new configuration is the StudyBurst, which describes how to generate a set of automatic custom events:

class StudyBurst {
  String prefixidentifier;
  String originEventId;
  String int occurrences;
  Period interval; // positive or negative
}

On study create and update, the server will remove all automatic custom events with a studyBurstPrefix, then iterate through the study burst configurations and create the automatic custom events specified by that configuration.

For example, a study burst named “foo” triggered from “enrollment” four times, at When an event is published (this can be a custom event or a compound system event, like the time a session is finished), and it matches a study burst originEventId, then a sequence of events will be published based on the StudyBurst configuration. The event ID will be in the format burst:<studyBurstIdentifier>:# where the # is the occurrence number of the new event (1-based). The value will be the timestamp of the event + (the interval specified by the study burst * the occurrence number). All these events are published up-front because they are mutable. If the internal publication of these events finds that the event is already in the user’s event map, then it will not be regenerated.

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Initially a schedule would need to reference these automatic custom events, but we can probably include a study burst reference in the Session object and expand that when generating a timeline, so that the client still works with automatic custom events, which is what it finds in the participant’s event map.

This last part is a drag for Alina until we can improve the system; I will try and do that when I add the ability to associate multiple event IDs as triggers for a given session.

Make automatic custom events mutable

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In effect, study bursts are calculated and treated similarly to automatic custom events, but they are defined in a way that captures the intent of automatic custom events.

When a study is converted to a Timeline, each session that has one or more study bursts will determine the event identifiers of the study burst (which does not require calculation of a time), and all these event IDs will be added to the session’s startEventIds before the session is then converted into scheduled sessions that encode one starting event each.