Refactor package structure

Builds but not tested
This commit is contained in:
Jan Eitzinger
2022-09-05 17:46:38 +02:00
parent 26df1e7c14
commit fc76eed899
30 changed files with 1426 additions and 1027 deletions

View File

@@ -8,9 +8,11 @@ import (
"context"
"encoding/json"
"fmt"
"math"
"time"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/lrucache"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
@@ -33,14 +35,11 @@ type MetricDataRepository interface {
var metricDataRepos map[string]MetricDataRepository = map[string]MetricDataRepository{}
var JobArchivePath string
var useArchive bool
func Init(jobArchivePath string, disableArchive bool) error {
func Init(disableArchive bool) error {
useArchive = !disableArchive
JobArchivePath = jobArchivePath
for _, cluster := range config.Clusters {
for _, cluster := range config.Keys.Clusters {
if cluster.MetricDataRepository != nil {
var kind struct {
Kind string `json:"kind"`
@@ -73,97 +72,88 @@ func Init(jobArchivePath string, disableArchive bool) error {
var cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)
// Fetches the metric data for a job.
func LoadData(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.JobData, error) {
data := cache.Get(cacheKey(job, metrics, scopes), func() (_ interface{}, ttl time.Duration, size int) {
var jd schema.JobData
var err error
if job.State == schema.JobStateRunning ||
job.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving ||
!useArchive {
repo, ok := metricDataRepos[job.Cluster]
if !ok {
return fmt.Errorf("no metric data repository configured for '%s'", job.Cluster), 0, 0
}
func LoadData(job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
ctx context.Context) (schema.JobData, error) {
var jd schema.JobData
var err error
if scopes == nil {
scopes = append(scopes, schema.MetricScopeNode)
}
if job.State == schema.JobStateRunning ||
job.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving ||
!useArchive {
repo, ok := metricDataRepos[job.Cluster]
if !ok {
return nil, fmt.Errorf("no metric data repository configured for '%s'", job.Cluster)
}
if scopes == nil {
scopes = append(scopes, schema.MetricScopeNode)
}
if metrics == nil {
cluster := archive.GetCluster(job.Cluster)
for _, mc := range cluster.MetricConfig {
metrics = append(metrics, mc.Name)
}
}
jd, err = repo.LoadData(job, metrics, scopes, ctx)
if err != nil {
if len(jd) != 0 {
log.Errorf("partial error: %s", err.Error())
} else {
return nil, err
}
}
} else {
jd, err = archive.GetHandle().LoadJobData(job)
if err != nil {
return nil, err
}
// Avoid sending unrequested data to the client:
if metrics != nil || scopes != nil {
if metrics == nil {
cluster := config.GetCluster(job.Cluster)
for _, mc := range cluster.MetricConfig {
metrics = append(metrics, mc.Name)
metrics = make([]string, 0, len(jd))
for k := range jd {
metrics = append(metrics, k)
}
}
jd, err = repo.LoadData(job, metrics, scopes, ctx)
if err != nil {
if len(jd) != 0 {
log.Errorf("partial error: %s", err.Error())
} else {
return err, 0, 0
}
}
size = jd.Size()
} else {
jd, err = loadFromArchive(job)
if err != nil {
return err, 0, 0
}
// Avoid sending unrequested data to the client:
if metrics != nil || scopes != nil {
if metrics == nil {
metrics = make([]string, 0, len(jd))
for k := range jd {
metrics = append(metrics, k)
}
}
res := schema.JobData{}
for _, metric := range metrics {
if perscope, ok := jd[metric]; ok {
if len(perscope) > 1 {
subset := make(map[schema.MetricScope]*schema.JobMetric)
for _, scope := range scopes {
if jm, ok := perscope[scope]; ok {
subset[scope] = jm
}
}
if len(subset) > 0 {
perscope = subset
res := schema.JobData{}
for _, metric := range metrics {
if perscope, ok := jd[metric]; ok {
if len(perscope) > 1 {
subset := make(map[schema.MetricScope]*schema.JobMetric)
for _, scope := range scopes {
if jm, ok := perscope[scope]; ok {
subset[scope] = jm
}
}
res[metric] = perscope
if len(subset) > 0 {
perscope = subset
}
}
res[metric] = perscope
}
jd = res
}
size = 1 // loadFromArchive() caches in the same cache.
jd = res
}
ttl = 5 * time.Hour
if job.State == schema.JobStateRunning {
ttl = 2 * time.Minute
}
prepareJobData(job, jd, scopes)
return jd, ttl, size
})
if err, ok := data.(error); ok {
return nil, err
}
return data.(schema.JobData), nil
prepareJobData(job, jd, scopes)
return jd, nil
}
// Used for the jobsFootprint GraphQL-Query. TODO: Rename/Generalize.
func LoadAverages(job *schema.Job, metrics []string, data [][]schema.Float, ctx context.Context) error {
if job.State != schema.JobStateRunning && useArchive {
return loadAveragesFromArchive(job, metrics, data)
return archive.LoadAveragesFromArchive(job, metrics, data)
}
repo, ok := metricDataRepos[job.Cluster]
@@ -201,7 +191,7 @@ func LoadNodeData(cluster string, metrics, nodes []string, scopes []schema.Metri
}
if metrics == nil {
for _, m := range config.GetCluster(cluster).MetricConfig {
for _, m := range archive.GetCluster(cluster).MetricConfig {
metrics = append(metrics, m.Name)
}
}
@@ -256,3 +246,60 @@ func prepareJobData(job *schema.Job, jobData schema.JobData, scopes []schema.Met
jobData.AddNodeScope("mem_bw")
}
}
// Writes a running job to the job-archive
func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.JobMeta, error) {
allMetrics := make([]string, 0)
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
for _, mc := range metricConfigs {
allMetrics = append(allMetrics, mc.Name)
}
// TODO: Talk about this! What resolutions to store data at...
scopes := []schema.MetricScope{schema.MetricScopeNode}
if job.NumNodes <= 8 {
scopes = append(scopes, schema.MetricScopeCore)
}
jobData, err := LoadData(job, allMetrics, scopes, ctx)
if err != nil {
return nil, err
}
jobMeta := &schema.JobMeta{
BaseJob: job.BaseJob,
StartTime: job.StartTime.Unix(),
Statistics: make(map[string]schema.JobStatistics),
}
for metric, data := range jobData {
avg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32
nodeData, ok := data["node"]
if !ok {
// TODO/FIXME: Calc average for non-node metrics as well!
continue
}
for _, series := range nodeData.Series {
avg += series.Statistics.Avg
min = math.Min(min, series.Statistics.Min)
max = math.Max(max, series.Statistics.Max)
}
jobMeta.Statistics[metric] = schema.JobStatistics{
Unit: archive.GetMetricConfig(job.Cluster, metric).Unit,
Avg: avg / float64(job.NumNodes),
Min: min,
Max: max,
}
}
// If the file based archive is disabled,
// only return the JobMeta structure as the
// statistics in there are needed.
if !useArchive {
return jobMeta, nil
}
return jobMeta, archive.Import(jobMeta, &jobData)
}