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https://github.com/ClusterCockpit/cc-backend
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@ -17,6 +17,7 @@ import (
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"github.com/ClusterCockpit/cc-backend/pkg/archive"
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"github.com/ClusterCockpit/cc-backend/pkg/log"
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"github.com/ClusterCockpit/cc-backend/pkg/schema"
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"github.com/ClusterCockpit/cc-backend/pkg/units"
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)
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// `AUTO_INCREMENT` is in a comment because of this hack:
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@ -103,11 +104,11 @@ func HandleImportFlag(flag string) error {
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return err
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}
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if config.Keys.Validate {
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// if config.Keys.Validate {
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if err := schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {
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return fmt.Errorf("validate job meta: %v", err)
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}
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}
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// }
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dec := json.NewDecoder(bytes.NewReader(raw))
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dec.DisallowUnknownFields()
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jobMeta := schema.JobMeta{BaseJob: schema.JobDefaults}
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@ -132,6 +133,7 @@ func HandleImportFlag(flag string) error {
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return err
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}
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checkJobData(&jobData)
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SanityChecks(&jobMeta.BaseJob)
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jobMeta.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful
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if job, err := GetJobRepository().Find(&jobMeta.JobID, &jobMeta.Cluster, &jobMeta.StartTime); err != sql.ErrNoRows {
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@ -368,14 +370,31 @@ func loadJobStat(job *schema.JobMeta, metric string) float64 {
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}
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func checkJobData(d *schema.JobData) error {
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// for name, scopes := range *d {
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for _, scopes := range *d {
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var newUnit string
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// Add node scope if missing
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for _, metric := range scopes {
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if strings.Contains(metric.Unit.Base, "B/s") ||
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strings.Contains(metric.Unit.Base, "F/s") ||
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strings.Contains(metric.Unit.Base, "B") {
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// for scope, metric := range scopes {
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// // 1. Unit normalisation
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// First get overall avg
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sum := 0.0
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for _, s := range metric.Series {
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sum += s.Statistics.Avg
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}
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// }
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// // 2. Add node scope if missing
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avg := sum / float64(len(metric.Series))
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// }
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for _, s := range metric.Series {
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fp := schema.ConvertFloatToFloat64(s.Data)
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// Normalize values with new unit prefix
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units.NormalizeSeries(fp, avg, metric.Unit, &newUnit)
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s.Data = schema.GetFloat64ToFloat(fp)
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}
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metric.Unit = newUnit
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}
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}
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}
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return nil
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}
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@ -211,7 +211,13 @@ func (r *JobRepository) Stop(
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}
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// TODO: Use node hours instead: SELECT job.user, sum(job.num_nodes * (CASE WHEN job.job_state = "running" THEN CAST(strftime('%s', 'now') AS INTEGER) - job.start_time ELSE job.duration END)) as x FROM job GROUP BY user ORDER BY x DESC;
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func (r *JobRepository) CountGroupedJobs(ctx context.Context, aggreg model.Aggregate, filters []*model.JobFilter, weight *model.Weights, limit *int) (map[string]int, error) {
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func (r *JobRepository) CountGroupedJobs(
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ctx context.Context,
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aggreg model.Aggregate,
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filters []*model.JobFilter,
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weight *model.Weights,
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limit *int) (map[string]int, error) {
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if !aggreg.IsValid() {
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return nil, errors.New("invalid aggregate")
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}
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@ -301,10 +307,14 @@ func (r *JobRepository) Archive(
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var ErrNotFound = errors.New("no such job or user")
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// FindJobOrUser returns a job database ID or a username if a job or user machtes the search term.
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// As 0 is a valid job id, check if username is "" instead in order to check what machted.
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// If nothing matches the search, `ErrNotFound` is returned.
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func (r *JobRepository) FindJobOrUser(ctx context.Context, searchterm string) (job int64, username string, err error) {
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// FindJobOrUser returns a job database ID or a username if a job or user
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// machtes the search term. As 0 is a valid job id, check if username is ""
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// instead in order to check what matched. If nothing matches the search,
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// `ErrNotFound` is returned.
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func (r *JobRepository) FindJobOrUser(
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ctx context.Context,
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searchterm string) (job int64, username string, err error) {
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user := auth.GetUser(ctx)
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if id, err := strconv.Atoi(searchterm); err == nil {
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qb := sq.Select("job.id").From("job").Where("job.job_id = ?", id)
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@ -353,6 +363,7 @@ func (r *JobRepository) Partitions(cluster string) ([]string, error) {
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// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.
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// Hosts with zero jobs running on them will not show up!
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func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {
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subclusters := make(map[string]map[string]int)
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rows, err := sq.Select("resources", "subcluster").From("job").
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Where("job.job_state = 'running'").
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@ -390,6 +401,7 @@ func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]in
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}
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func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {
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res, err := sq.Update("job").
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Set("monitoring_status", schema.MonitoringStatusArchivingFailed).
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Set("duration", 0).
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@ -45,7 +45,7 @@ type SubClusterConfig struct {
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type MetricConfig struct {
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Name string `json:"name"`
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Unit string `json:"unit"`
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Unit Unit `json:"unit"`
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Scope MetricScope `json:"scope"`
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Aggregation *string `json:"aggregation"`
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Timestep int `json:"timestep"`
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@ -107,3 +107,23 @@ func (s *Series) MarshalJSON() ([]byte, error) {
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buf = append(buf, ']', '}')
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return buf, nil
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}
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func ConvertFloatToFloat64(s []Float) []float64 {
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fp := make([]float64, len(s))
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for i, val := range s {
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fp[i] = float64(val)
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}
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return fp
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}
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func GetFloat64ToFloat(s []float64) []Float {
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fp := make([]Float, len(s))
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for i, val := range s {
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fp[i] = Float(val)
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}
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return fp
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}
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@ -89,11 +89,15 @@ var JobDefaults BaseJob = BaseJob{
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MonitoringStatus: MonitoringStatusRunningOrArchiving,
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}
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type Unit struct {
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Base string `json:"base"`
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Prefix string `json:"prefix"`
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}
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// JobStatistics model
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// @Description Specification for job metric statistics.
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type JobStatistics struct {
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// Metric unit (see schema/unit.schema.json)
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Unit string `json:"unit" example:"GHz"`
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Unit Unit `json:"unit" example:"GHz"`
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Avg float64 `json:"avg" example:"2500" minimum:"0"` // Job metric average
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Min float64 `json:"min" example:"2000" minimum:"0"` // Job metric minimum
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Max float64 `json:"max" example:"3000" minimum:"0"` // Job metric maximum
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@ -15,7 +15,7 @@ import (
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type JobData map[string]map[MetricScope]*JobMetric
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type JobMetric struct {
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Unit string `json:"unit"`
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Unit Unit `json:"unit"`
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Scope MetricScope `json:"scope"`
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Timestep int `json:"timestep"`
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Series []Series `json:"series"`
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@ -21,7 +21,7 @@
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},
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"unit": {
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"description": "Metric unit",
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"type": "string"
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"$ref": "embedfs://unit.schema.json"
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},
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"scope": {
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"description": "Native measurement resolution",
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@ -38,7 +38,6 @@
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"sum",
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"avg"
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]
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},
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"subClusters": {
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"description": "Array of cluster hardware partition metric thresholds",
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"jobState",
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"duration",
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"resources",
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"tags",
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"statistics"
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]
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}
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"description": "Format specification for job metric units",
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"type": "object",
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"properties": {
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"base_unit": {
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"base": {
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"description": "Metric base unit",
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"type": "string",
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"enum": [
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@ -36,6 +36,6 @@
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}
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},
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"required": [
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"base_unit"
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"base"
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]
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}
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if len(data) != 8 {
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t.Errorf("Job data length: Got %d, want 8", len(data))
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}
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r := map[string]string{"mem_used": "GB", "net_bw": "KB/s",
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"cpu_power": "W", "cpu_used": "cpu_used",
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"file_bw": "KB/s", "flops_any": "Flops/s",
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"mem_bw": "GB/s", "ipc": "IPC"}
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for name, scopes := range data {
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for _, metric := range scopes {
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if metric.Unit != r[name] {
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t.Errorf("Metric %s unit: Got %s, want %s", name, metric.Unit, r[name])
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}
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}
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}
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}
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