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fix: prevent large difference between aggregated and recomputed summaries (resolve #354)
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@ -1,6 +1,7 @@
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package services
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import (
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"github.com/duke-git/lancet/v2/mathutil"
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"github.com/muety/wakapi/config"
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"github.com/muety/wakapi/models"
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"time"
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@ -59,13 +60,26 @@ func (srv *DurationService) Get(from, to time.Time, user *models.User, filters *
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continue
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}
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dur := d1.Time.T().Sub(latest.Time.T().Add(latest.Duration))
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if dur > HeartbeatDiffThreshold {
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dur = HeartbeatDiffThreshold
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sameDay := d1.Time.T().Day() == latest.Time.T().Day()
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dur := time.Duration(mathutil.Min(
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int64(d1.Time.T().Sub(latest.Time.T().Add(latest.Duration))),
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int64(HeartbeatDiffThreshold),
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))
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// skip heartbeats that span across two adjacent summaries (assuming there are no more than 1 summary per day)
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// this is relevant to prevent the time difference between generating summaries from raw heartbeats and aggregating pre-generated summaries
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// for the latter case, the very last heartbeat of a day won't be counted, so we don't want to count it here either
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// another option would be to adapt the Summarize() method to always append up to HeartbeatDiffThreshold seconds to a day's very last duration
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if !sameDay {
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dur = 0
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}
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latest.Duration += dur
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if dur >= HeartbeatDiffThreshold || latest.GroupHash != d1.GroupHash {
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// start new "group" if:
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// (a) heartbeats were too far apart each other,
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// (b) if they are of a different entity or,
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// (c) if they span across two days
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if dur >= HeartbeatDiffThreshold || latest.GroupHash != d1.GroupHash || !sameDay {
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list := mapping[d1.GroupHash]
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if d0 := list[len(list)-1]; d0 != d1 {
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mapping[d1.GroupHash] = append(mapping[d1.GroupHash], d1)
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@ -390,7 +390,7 @@ func (srv *SummaryService) getMissingIntervals(from, to time.Time, summaries []*
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// Between
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for i := 0; i < len(summaries)-1; i++ {
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t1, t2 := summaries[i].ToTime.T(), summaries[i+1].FromTime.T()
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if t1.Equal(t2) || t1.Equal(to) || t1.After(to) { // TODO: check after
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if t1.Equal(t2) || t1.Equal(to) || t1.After(to) {
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continue
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}
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