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package models
import (
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"fmt"
"github.com/emvi/logbuch"
"github.com/mitchellh/hashstructure/v2"
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"strings"
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"time"
)
type Heartbeat struct {
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ID uint64 ` gorm:"primary_key" hash:"ignore" `
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User * User ` json:"-" gorm:"not null; constraint:OnUpdate:CASCADE,OnDelete:CASCADE;" hash:"ignore" `
UserID string ` json:"-" gorm:"not null; index:idx_time_user" `
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Entity string ` json:"entity" gorm:"not null" `
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Type string ` json:"type" `
Category string ` json:"category" `
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Project string ` json:"project" gorm:"index:idx_project" `
Branch string ` json:"branch" gorm:"index:idx_branch" `
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Language string ` json:"language" gorm:"index:idx_language" `
IsWrite bool ` json:"is_write" `
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Editor string ` json:"editor" gorm:"index:idx_editor" hash:"ignore" ` // ignored because editor might be parsed differently by wakatime
OperatingSystem string ` json:"operating_system" gorm:"index:idx_operating_system" hash:"ignore" ` // ignored because os might be parsed differently by wakatime
Machine string ` json:"machine" gorm:"index:idx_machine" hash:"ignore" ` // ignored because wakatime api doesn't return machines currently
UserAgent string ` json:"user_agent" hash:"ignore" gorm:"type:varchar(255)" `
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Time CustomTime ` json:"time" gorm:"type:timestamp; index:idx_time,idx_time_user" swaggertype:"primitive,number" `
Hash string ` json:"-" gorm:"type:varchar(17); uniqueIndex" `
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Origin string ` json:"-" hash:"ignore" gorm:"type:varchar(255)" `
OriginId string ` json:"-" hash:"ignore" gorm:"type:varchar(255)" `
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CreatedAt CustomTime ` json:"created_at" gorm:"type:timestamp" swaggertype:"primitive,number" hash:"ignore" ` // https://gorm.io/docs/conventions.html#CreatedAt
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}
func ( h * Heartbeat ) Valid ( ) bool {
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return h . User != nil && h . UserID != "" && h . User . ID == h . UserID && h . Time != CustomTime ( time . Time { } )
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}
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func ( h * Heartbeat ) Timely ( maxAge time . Duration ) bool {
now := time . Now ( )
return now . Sub ( h . Time . T ( ) ) <= maxAge && h . Time . T ( ) . Before ( now )
}
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func ( h * Heartbeat ) Augment ( languageMappings map [ string ] string ) {
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maxPrec := - 1 // precision / mapping complexity -> more concrete ones shall take precedence
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for ending , value := range languageMappings {
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if ok , prec := strings . HasSuffix ( h . Entity , "." + ending ) , strings . Count ( ending , "." ) ; ok && prec > maxPrec {
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h . Language = value
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maxPrec = prec
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}
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}
}
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func ( h * Heartbeat ) GetKey ( t uint8 ) ( key string ) {
switch t {
case SummaryProject :
key = h . Project
case SummaryEditor :
key = h . Editor
case SummaryLanguage :
key = h . Language
case SummaryOS :
key = h . OperatingSystem
case SummaryMachine :
key = h . Machine
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case SummaryBranch :
key = h . Branch
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}
if key == "" {
key = UnknownSummaryKey
}
return key
}
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func ( h * Heartbeat ) String ( ) string {
return fmt . Sprintf (
"Heartbeat {user=%s, entity=%s, type=%s, category=%s, project=%s, branch=%s, language=%s, iswrite=%v, editor=%s, os=%s, machine=%s, time=%d}" ,
h . UserID ,
h . Entity ,
h . Type ,
h . Category ,
h . Project ,
h . Branch ,
h . Language ,
h . IsWrite ,
h . Editor ,
h . OperatingSystem ,
h . Machine ,
( time . Time ( h . Time ) ) . UnixNano ( ) ,
)
}
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// Hash is used to prevent duplicate heartbeats
// Using a UNIQUE INDEX over all relevant columns would be more straightforward,
// whereas manually computing this kind of hash is quite cumbersome. However,
// such a unique index would, according to https://stackoverflow.com/q/65980064/3112139,
// essentially double the space required for heartbeats, so we decided to go this way.
func ( h * Heartbeat ) Hashed ( ) * Heartbeat {
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hash , err := hashstructure . Hash ( h , hashstructure . FormatV2 , nil )
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if err != nil {
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logbuch . Error ( "CRITICAL ERROR: failed to hash struct - %v" , err )
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}
h . Hash = fmt . Sprintf ( "%x" , hash ) // "uint64 values with high bit set are not supported"
return h
}
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func GetEntityColumn ( t uint8 ) string {
return [ ] string {
"project" ,
"language" ,
"editor" ,
"operating_system" ,
"machine" ,
"label" ,
"branch" ,
} [ t ]
}