Revert interface from jobMeta to job type. Extend job classifier tagger. Cleanup test rules.

This commit is contained in:
Jan Eitzinger 2025-05-23 07:48:27 +02:00
parent ca634bb707
commit 733e3ea9d5
11 changed files with 202 additions and 158 deletions

View File

@ -73,10 +73,7 @@ func archivingWorker() {
log.Debugf("archiving job %d took %s", job.JobID, time.Since(start))
log.Printf("archiving job (dbid: %d) successful", job.ID)
id := job.ID
jobMeta.ID = &id
repository.CallJobStopHooks(jobMeta)
repository.CallJobStopHooks(job)
archivePending.Done()
default:
continue

View File

@ -12,7 +12,7 @@ import (
type JobHook interface {
JobStartCallback(job *schema.Job)
JobStopCallback(job *schema.JobMeta)
JobStopCallback(job *schema.Job)
}
var (
@ -44,7 +44,7 @@ func CallJobStartHooks(jobs []*schema.Job) {
}
}
func CallJobStopHooks(job *schema.JobMeta) {
func CallJobStopHooks(job *schema.Job) {
if hooks == nil {
return
}

View File

@ -7,14 +7,16 @@ package tagger
import (
"bytes"
"embed"
"encoding/json"
"fmt"
"io/fs"
"maps"
"os"
"path/filepath"
"strings"
"text/template"
"github.com/ClusterCockpit/cc-backend/internal/repository"
"github.com/ClusterCockpit/cc-backend/internal/util"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
"github.com/expr-lang/expr"
@ -24,31 +26,100 @@ import (
//go:embed jobclasses/*
var jobclassFiles embed.FS
type Variable struct {
Name string `json:"name"`
Expr string `json:"expr"`
}
type ruleVariable struct {
name string
expr *vm.Program
}
type RuleFormat struct {
Name string `json:"name"`
Tag string `json:"tag"`
Parameters []string `json:"parameters"`
Metrics []string `json:"metrics"`
Requirements []string `json:"requirements"`
Variables []Variable `json:"variables"`
Rule string `json:"rule"`
Hint string `json:"hint"`
}
type ruleInfo struct {
tag string
env map[string]any
metrics []string
requirements []*vm.Program
variables []ruleVariable
rule *vm.Program
hint *template.Template
}
type JobClassTagger struct {
rules map[string]ruleInfo
parameters map[string]any
tagType string
cfgPath string
}
func (t *JobClassTagger) compileRule(f fs.File, fns string) {
buf := new(bytes.Buffer)
_, err := buf.ReadFrom(f)
func (t *JobClassTagger) prepareRule(filename string, fns string) {
b, err := os.ReadFile(filename)
if err != nil {
log.Errorf("error reading rule file %s: %#v", fns, err)
log.Warnf("prepareRule() > open file error: %v", err)
return
}
prg, err := expr.Compile(buf.String(), expr.AsBool())
var rule RuleFormat
if err := json.NewDecoder(bytes.NewReader(b)).Decode(&rule); err != nil {
log.Warn("Error while decoding raw job meta json")
return
}
ri := ruleInfo{}
ri.env = make(map[string]any)
ri.metrics = make([]string, 0)
ri.requirements = make([]*vm.Program, 0)
ri.variables = make([]ruleVariable, 0)
// check if all required parameters are available
for _, p := range rule.Parameters {
param, ok := t.parameters[p]
if !ok {
log.Warnf("prepareRule() > missing parameter %s in rule %s", p, fns)
return
}
ri.env[p] = param
}
// set all required metrics
for _, m := range rule.Metrics {
ri.metrics = append(ri.metrics, m)
}
// compile requirements
for _, r := range rule.Requirements {
req, err := expr.Compile(r, expr.AsBool())
if err != nil {
log.Errorf("error compiling requirement %s: %#v", r, err)
return
}
ri.requirements = append(ri.requirements, req)
}
// compile rule
exp, err := expr.Compile(rule.Rule, expr.AsBool())
if err != nil {
log.Errorf("error compiling rule %s: %#v", fns, err)
return
}
ri := ruleInfo{tag: strings.TrimSuffix(fns, filepath.Ext(fns)), rule: prg}
ri.rule = exp
delete(t.rules, ri.tag)
t.rules[ri.tag] = ri
// prepare hint template
ri.hint = template.Must(template.New(fns).Parse(rule.Hint))
delete(t.rules, rule.Tag)
t.rules[rule.Tag] = ri
}
func (t *JobClassTagger) EventMatch(s string) bool {
@ -65,11 +136,8 @@ func (t *JobClassTagger) EventCallback() {
for _, fn := range files {
fns := fn.Name()
log.Debugf("Process: %s", fns)
f, err := os.Open(fmt.Sprintf("%s/%s", t.cfgPath, fns))
if err != nil {
log.Errorf("error opening app file %s: %#v", fns, err)
}
t.compileRule(f, fns)
filename := fmt.Sprintf("%s/%s", t.cfgPath, fns)
t.prepareRule(filename, fns)
}
}
@ -84,13 +152,23 @@ func (t *JobClassTagger) Register() error {
t.rules = make(map[string]ruleInfo, 0)
for _, fn := range files {
fns := fn.Name()
log.Debugf("Process: %s", fns)
f, err := appFiles.Open(fmt.Sprintf("apps/%s", fns))
filename := fmt.Sprintf("%s/%s", t.cfgPath, fns)
if fn.Name() == "parameters.json" {
b, err := os.ReadFile(filename)
if err != nil {
return fmt.Errorf("error opening app file %s: %#v", fns, err)
log.Warnf("prepareRule() > open file error: %v", err)
return err
}
defer f.Close()
t.compileRule(f, fns)
if err := json.NewDecoder(bytes.NewReader(b)).Decode(&t.parameters); err != nil {
log.Warn("Error while decoding parameters.json")
return err
}
continue
}
log.Debugf("Process: %s", fns)
t.prepareRule(filename, fns)
}
if util.CheckFileExists(t.cfgPath) {
@ -102,20 +180,69 @@ func (t *JobClassTagger) Register() error {
return nil
}
func (t *JobClassTagger) Match(job *schema.JobMeta) {
func (t *JobClassTagger) Match(job *schema.Job) {
r := repository.GetJobRepository()
jobstats, err := archive.GetStatistics(job)
if err != nil {
log.Errorf("job classification failed for job %d: %#v", job.JobID, err)
return
}
for _, ri := range t.rules {
tag := ri.tag
output, err := expr.Run(ri.rule, job)
for tag, ri := range t.rules {
env := make(map[string]any)
maps.Copy(env, ri.env)
// add metrics to env
for _, m := range ri.metrics {
stats, ok := jobstats[m]
if !ok {
log.Errorf("job classification failed for job %d: missing metric '%s'", job.JobID, m)
return
}
env[m] = stats.Avg
}
// check rule requirements apply
for _, r := range ri.requirements {
ok, err := expr.Run(r, env)
if err != nil {
log.Errorf("error running requirement for rule %s: %#v", tag, err)
return
}
if !ok.(bool) {
log.Infof("requirement for rule %s not met", tag)
return
}
}
// validate rule expression
for _, v := range ri.variables {
value, err := expr.Run(v.expr, env)
if err != nil {
log.Errorf("error running rule %s: %#v", tag, err)
return
}
env[v.name] = value
}
match, err := expr.Run(ri.rule, job)
if err != nil {
log.Errorf("error running rule %s: %#v", tag, err)
}
if output.(bool) {
if match.(bool) {
id := job.ID
if !r.HasTag(*id, t.tagType, tag) {
r.AddTagOrCreateDirect(*id, t.tagType, tag)
if !r.HasTag(id, t.tagType, tag) {
r.AddTagOrCreateDirect(id, t.tagType, tag)
}
}
// process hint template
var msg bytes.Buffer
if err := ri.hint.Execute(&msg, env); err != nil {
log.Errorf("Template error: %s", err.Error())
}
// FIXME: Handle case where multiple tags apply
r.UpdateMetadata(job, "message", msg.String())
}
}

View File

@ -95,7 +95,7 @@ func (t *AppTagger) Register() error {
return nil
}
func (t *AppTagger) Match(job *schema.JobMeta) {
func (t *AppTagger) Match(job *schema.Job) {
r := repository.GetJobRepository()
jobscript, ok := job.MetaData["jobScript"]
if ok {
@ -106,8 +106,8 @@ func (t *AppTagger) Match(job *schema.JobMeta) {
tag := a.tag
for _, s := range a.strings {
if strings.Contains(jobscript, s) {
if !r.HasTag(*id, t.tagType, tag) {
r.AddTagOrCreateDirect(*id, t.tagType, tag)
if !r.HasTag(id, t.tagType, tag) {
r.AddTagOrCreateDirect(id, t.tagType, tag)
break out
}
}

View File

@ -9,7 +9,6 @@ import (
"github.com/ClusterCockpit/cc-backend/internal/repository"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
)
func setup(tb testing.TB) *repository.JobRepository {
@ -52,12 +51,7 @@ func TestMatch(t *testing.T) {
err = tagger.Register()
noErr(t, err)
jobMeta := &schema.JobMeta{
ID: &job.ID,
BaseJob: job.BaseJob,
StartTime: job.StartTime.Unix(),
}
tagger.Match(jobMeta)
tagger.Match(job)
if !r.HasTag(5, "app", "vasp") {
t.Errorf("missing tag vasp")

View File

@ -12,27 +12,22 @@
],
"requirements": [
"job.exclusive == 1",
"job.duration > job_min_duration_seconds",
"required_metrics_min_samples > job_min_duration_seconds / sampling_interval_seconds"
"job.duration > job_min_duration_seconds"
],
"terms": [
{
"name": "",
"load_mean": "cpu_load[cpu_load_pre_cutoff_samples].mean('all')"
},
{
"load_threshold": "(job.numHwthreads/job.numNodes) * excessivecpuload_threshold_factor"
"name": "load_threshold",
"expr": "(job.numHwthreads/job.numNodes) * excessivecpuload_threshold_factor"
},
{
"highload_nodes": "load_mean > load_threshold"
},
{
"highload": "highload_nodes.any('all')"
},
{
"load_perc": "load_mean / load_threshold"
"name": "load_perc",
"expr": "load_mean / load_threshold"
}
],
"output": "highload",
"output_scalar": "load_perc",
"template": "Job ({{ job.jobId }})\nThis job was detected as excessiveload because the mean cpu load {{ load_mean.array }} falls above the threshold {{ load_threshold }}."
"rule": "cpu_load > load_threshold",
"hint": "This job was detected as excessiveload because the average cpu load {{ cpu_load }} falls above the threshold {{ load_threshold }}."
}

View File

@ -1,40 +0,0 @@
{
"name": "High memory usage",
"tag": "high_memory_load",
"parameters": [
"high_memory_load_threshold_factor",
"job_min_duration_seconds",
"sampling_interval_seconds"
],
"metrics": [
"mem_used"
],
"requirements": [
"job.duration > job_min_duration_seconds",
"required_metrics_min_samples > job_min_duration_seconds / sampling_interval_seconds",
"hasattr(job, \"allocated_memory\")"
],
"terms": [
{
"memory_alloc": "job.allocated_memory"
},
{
"memory_used": "mem_used.max('time')"
},
{
"load_threshold": "memory_alloc * high_memory_load_threshold_factor"
},
{
"high_mem_nodes": "memory_used > load_threshold"
},
{
"high_mem": "high_mem_nodes.any('all')"
},
{
"load_perc": "memory_used / (memory_alloc * high_memory_load_threshold_factor)"
}
],
"output": "high_mem",
"output_scalar": "load_perc",
"template": "Job ({{ job.jobId }})\nThis job was detected as high_memory_load because the memory usage {{ high_mem_nodes.array }} falls above the threshold {{ load_threshold }}."
}

View File

@ -1,36 +0,0 @@
{
"name": "Low GPU load",
"tag": "lowgpuload",
"parameters": [
"lowgpuload_threshold_factor",
"job_min_duration_seconds",
"sampling_interval_seconds"
],
"metrics": [
"nv_util"
],
"requirements": [
"job.duration > job_min_duration_seconds",
"required_metrics_min_samples > job_min_duration_seconds / sampling_interval_seconds"
],
"terms": [
{
"load_mean": "nv_util.mean('all')"
},
{
"load_threshold": "job.numAcc * lowgpuload_threshold_factor"
},
{
"lowload_nodes": "load_mean < load_threshold"
},
{
"lowload": "lowload_nodes.any('all')"
},
{
"load_perc": "1.0 - (load_mean / load_threshold)"
}
],
"output": "lowload",
"output_scalar": "load_perc",
"template": "Job ({{ job.jobId }})\nThis job was detected as lowgpuload because the mean gpu load {{ load_mean }} falls below the threshold {{ load_threshold }}."
}

View File

@ -11,28 +11,18 @@
],
"requirements": [
"job.exclusive == 1",
"job.duration > job_min_duration_seconds",
"required_metrics_min_samples > job_min_duration_seconds / sampling_interval_seconds"
"job.duration > job_min_duration_seconds"
],
"tagRule": [
"variables": [
{
"load_mean": "cpu_load[cpu_load_pre_cutoff_samples:].mean('all')"
"name": "load_threshold",
"expr": "job.numHwthreads * lowcpuload_threshold_factor"
},
{
"load_threshold": "job.numHwthreads * lowcpuload_threshold_factor"
},
{
"lowload_nodes": "load_mean < load_threshold"
},
{
"lowload": "lowload_nodes.any('all')"
},
{
"load_perc": "1.0 - (load_mean / load_threshold)"
"name": "load_perc",
"expr": "1.0 - (cpu_load / load_threshold)"
}
],
"valueRule": [],
"output": "lowload",
"output_scalar": "load_perc",
"hint": "Job ({{ job.jobId }})\nThis job was detected as lowload because the mean cpu load {{ load_mean }} falls below the threshold {{ load_threshold }}."
"rule": "cpu_load < load_threshold",
"hint": "This job was detected as lowload because the average cpu load {{ cpu_load }} falls below the threshold {{ load_threshold }}."
}

View File

@ -0,0 +1,14 @@
{
"lowcpuload_threshold_factor": 0.9,
"excessivecpuload_threshold_factor": 1.1,
"highmemoryusage_threshold_factor": 0.9,
"node_load_imbalance_threshold_factor": 0.1,
"core_load_imbalance_threshold_factor": 0.1,
"high_memory_load_threshold_factor": 0.9,
"lowgpuload_threshold_factor": 0.7,
"memory_leak_slope_threshold": 0.1,
"job_min_duration_seconds": 600.0,
"sampling_interval_seconds": 30.0,
"cpu_load_pre_cutoff_samples": 11.0,
"cpu_load_core_pre_cutoff_samples": 6.0
}

View File

@ -13,7 +13,7 @@ import (
type Tagger interface {
Register() error
Match(job *schema.JobMeta)
Match(job *schema.Job)
}
var (
@ -48,5 +48,8 @@ func (jt *JobTagger) JobStartCallback(job *schema.Job) {
}
}
func (jt *JobTagger) JobStopCallback(job *schema.JobMeta) {
func (jt *JobTagger) JobStopCallback(job *schema.Job) {
for _, tagger := range jobTagger.stopTaggers {
tagger.Match(job)
}
}