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wakapi/services/duration.go

116 lines
3.5 KiB
Go

package services
import (
"github.com/duke-git/lancet/v2/mathutil"
"github.com/muety/wakapi/config"
"github.com/muety/wakapi/models"
"time"
)
const HeartbeatDiffThreshold = 2 * time.Minute
type DurationService struct {
config *config.Config
heartbeatService IHeartbeatService
}
func NewDurationService(heartbeatService IHeartbeatService) *DurationService {
srv := &DurationService{
config: config.Get(),
heartbeatService: heartbeatService,
}
return srv
}
func (srv *DurationService) Get(from, to time.Time, user *models.User, filters *models.Filters) (models.Durations, error) {
get := srv.heartbeatService.GetAllWithin
if filters != nil && !filters.IsEmpty() {
get = func(t1 time.Time, t2 time.Time, user *models.User) ([]*models.Heartbeat, error) {
return srv.heartbeatService.GetAllWithinByFilters(t1, t2, user, filters)
}
}
heartbeats, err := get(from, to, user)
if err != nil {
return nil, err
}
// Aggregation
// the below logic is approximately equivalent to the SQL query at scripts/aggregate_durations.sql,
// but unfortunately we cannot use it, as it features mysql-specific functions (lag(), timediff(), ...)
var count int
var latest *models.Duration
mapping := make(map[string][]*models.Duration)
for _, h := range heartbeats {
if filters != nil && !filters.Match(h) {
continue
}
d1 := models.NewDurationFromHeartbeat(h)
if list, ok := mapping[d1.GroupHash]; !ok || len(list) < 1 {
mapping[d1.GroupHash] = []*models.Duration{d1}
}
if latest == nil {
latest = d1
continue
}
sameDay := d1.Time.T().Day() == latest.Time.T().Day()
dur := time.Duration(mathutil.Min(
int64(d1.Time.T().Sub(latest.Time.T().Add(latest.Duration))),
int64(HeartbeatDiffThreshold),
))
// skip heartbeats that span across two adjacent summaries (assuming there are no more than 1 summary per day)
// this is relevant to prevent the time difference between generating summaries from raw heartbeats and aggregating pre-generated summaries
// 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
// another option would be to adapt the Summarize() method to always append up to HeartbeatDiffThreshold seconds to a day's very last duration
if !sameDay {
dur = 0
}
latest.Duration += dur
// start new "group" if:
// (a) heartbeats were too far apart each other,
// (b) if they are of a different entity or,
// (c) if they span across two days
if dur >= HeartbeatDiffThreshold || latest.GroupHash != d1.GroupHash || !sameDay {
list := mapping[d1.GroupHash]
if d0 := list[len(list)-1]; d0 != d1 {
mapping[d1.GroupHash] = append(mapping[d1.GroupHash], d1)
}
latest = d1
} else {
latest.NumHeartbeats++
}
count++
}
durations := make(models.Durations, 0, count)
for _, list := range mapping {
for _, d := range list {
// will only happen if two heartbeats with different hashes (e.g. different project) have the same timestamp
// that, in turn, will most likely only happen for mysql, where `time` column's precision was set to second for a while
// assume that two non-identical heartbeats with identical time are sub-second apart from each other, so round up to expectancy value
// also see https://github.com/muety/wakapi/issues/340
if d.Duration == 0 {
d.Duration = 500 * time.Millisecond
}
durations = append(durations, d)
}
}
if len(heartbeats) == 1 && len(durations) == 1 {
durations[0].Duration = HeartbeatDiffThreshold
}
return durations.Sorted(), nil
}