mirror of https://github.com/muety/wakapi.git
120 lines
3.7 KiB
Go
120 lines
3.7 KiB
Go
package services
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import (
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"github.com/duke-git/lancet/v2/datetime"
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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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)
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const HeartbeatDiffThreshold = 2 * time.Minute
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type DurationService struct {
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config *config.Config
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heartbeatService IHeartbeatService
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}
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func NewDurationService(heartbeatService IHeartbeatService) *DurationService {
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srv := &DurationService{
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config: config.Get(),
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heartbeatService: heartbeatService,
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}
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return srv
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}
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func (srv *DurationService) Get(from, to time.Time, user *models.User, filters *models.Filters) (models.Durations, error) {
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get := srv.heartbeatService.GetAllWithin
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if filters != nil && !filters.IsEmpty() {
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get = func(t1 time.Time, t2 time.Time, user *models.User) ([]*models.Heartbeat, error) {
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return srv.heartbeatService.GetAllWithinByFilters(t1, t2, user, filters)
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}
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}
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heartbeats, err := get(from, to, user)
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if err != nil {
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return nil, err
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}
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// Aggregation
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// the below logic is approximately equivalent to the SQL query at scripts/aggregate_durations.sql,
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// but unfortunately we cannot use it, as it features mysql-specific functions (lag(), timediff(), ...)
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var count int
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var latest *models.Duration
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mapping := make(map[string][]*models.Duration)
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for _, h := range heartbeats {
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if filters != nil && !filters.Match(h) {
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continue
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}
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d1 := models.NewDurationFromHeartbeat(h)
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if !filters.IsProjectDetails() {
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d1 = d1.WithEntityIgnored() // only for efficiency
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}
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if list, ok := mapping[d1.GroupHash]; !ok || len(list) < 1 {
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mapping[d1.GroupHash] = []*models.Duration{d1}
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}
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if latest == nil {
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latest = d1
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continue
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}
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sameDay := datetime.BeginOfDay(d1.Time.T()) == datetime.BeginOfDay(latest.Time.T())
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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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// 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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}
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latest = d1
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} else {
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latest.NumHeartbeats++
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}
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count++
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}
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durations := make(models.Durations, 0, count)
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for _, list := range mapping {
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for _, d := range list {
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// will only happen if two heartbeats with different hashes (e.g. different project) have the same timestamp
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// that, in turn, will most likely only happen for mysql, where `time` column's precision was set to second for a while
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// assume that two non-identical heartbeats with identical time are sub-second apart from each other, so round up to expectancy value
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// also see https://github.com/muety/wakapi/issues/340
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if d.Duration == 0 {
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d.Duration = 500 * time.Millisecond
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}
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durations = append(durations, d)
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}
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}
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if len(heartbeats) == 1 && len(durations) == 1 {
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durations[0].Duration = HeartbeatDiffThreshold
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}
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return durations.Sorted(), nil
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}
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