mirror of
https://github.com/ClusterCockpit/cc-backend
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64796519c6
- hard errors blocked rendering in frontend
190 lines
6.0 KiB
Go
190 lines
6.0 KiB
Go
// Copyright (C) 2022 NHR@FAU, University Erlangen-Nuremberg.
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// All rights reserved.
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// Use of this source code is governed by a MIT-style
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// license that can be found in the LICENSE file.
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package graph
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import (
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"context"
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"fmt"
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"math"
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"github.com/99designs/gqlgen/graphql"
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"github.com/ClusterCockpit/cc-backend/internal/graph/model"
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"github.com/ClusterCockpit/cc-backend/internal/metricdata"
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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/archive"
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)
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const MAX_JOBS_FOR_ANALYSIS = 500
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// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.
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func (r *queryResolver) rooflineHeatmap(
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ctx context.Context,
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filter []*model.JobFilter,
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rows int, cols int,
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minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {
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jobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)
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if err != nil {
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log.Error("Error while querying jobs for roofline")
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return nil, err
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}
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if len(jobs) > MAX_JOBS_FOR_ANALYSIS {
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return nil, fmt.Errorf("GRAPH/UTIL > too many jobs matched (max: %d)", MAX_JOBS_FOR_ANALYSIS)
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}
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fcols, frows := float64(cols), float64(rows)
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minX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)
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tiles := make([][]float64, rows)
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for i := range tiles {
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tiles[i] = make([]float64, cols)
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}
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for _, job := range jobs {
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if job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {
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continue
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}
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jobdata, err := metricdata.LoadData(job, []string{"flops_any", "mem_bw"}, []schema.MetricScope{schema.MetricScopeNode}, ctx)
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if err != nil {
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log.Errorf("Error while loading roofline metrics for job %d", job.ID)
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return nil, err
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}
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flops_, membw_ := jobdata["flops_any"], jobdata["mem_bw"]
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if flops_ == nil && membw_ == nil {
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log.Infof("rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d", job.ID)
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continue
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// return nil, fmt.Errorf("GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d", job.ID)
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}
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flops, ok1 := flops_["node"]
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membw, ok2 := membw_["node"]
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if !ok1 || !ok2 {
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log.Info("rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level")
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continue
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// TODO/FIXME:
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// return nil, errors.New("GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level")
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}
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for n := 0; n < len(flops.Series); n++ {
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flopsSeries, membwSeries := flops.Series[n], membw.Series[n]
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for i := 0; i < len(flopsSeries.Data); i++ {
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if i >= len(membwSeries.Data) {
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break
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}
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x, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))
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if math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {
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continue
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}
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x, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)
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if x < 0 || x >= fcols || y < 0 || y >= frows {
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continue
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}
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tiles[int(y)][int(x)] += 1
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}
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}
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}
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return tiles, nil
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}
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// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.
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func (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {
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jobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)
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if err != nil {
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log.Error("Error while querying jobs for footprint")
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return nil, err
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}
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if len(jobs) > MAX_JOBS_FOR_ANALYSIS {
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return nil, fmt.Errorf("GRAPH/UTIL > too many jobs matched (max: %d)", MAX_JOBS_FOR_ANALYSIS)
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}
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avgs := make([][]schema.Float, len(metrics))
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for i := range avgs {
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avgs[i] = make([]schema.Float, 0, len(jobs))
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}
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timeweights := new(model.TimeWeights)
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timeweights.NodeHours = make([]schema.Float, 0, len(jobs))
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timeweights.AccHours = make([]schema.Float, 0, len(jobs))
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timeweights.CoreHours = make([]schema.Float, 0, len(jobs))
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for _, job := range jobs {
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if job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {
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continue
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}
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if err := metricdata.LoadAverages(job, metrics, avgs, ctx); err != nil {
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log.Error("Error while loading averages for footprint")
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return nil, err
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}
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// #166 collect arrays: Null values or no null values?
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timeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))
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if job.NumAcc > 0 {
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timeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))
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} else {
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timeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))
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}
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if job.NumHWThreads > 0 {
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timeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)
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} else {
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timeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))
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}
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}
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res := make([]*model.MetricFootprints, len(avgs))
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for i, arr := range avgs {
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res[i] = &model.MetricFootprints{
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Metric: metrics[i],
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Data: arr,
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}
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}
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return &model.Footprints{
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TimeWeights: timeweights,
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Metrics: res,
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}, nil
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}
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// func numCoresForJob(job *schema.Job) (numCores int) {
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// subcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)
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// if scerr != nil {
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// return 1
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// }
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// totalJobCores := 0
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// topology := subcluster.Topology
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// for _, host := range job.Resources {
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// hwthreads := host.HWThreads
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// if hwthreads == nil {
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// hwthreads = topology.Node
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// }
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// hostCores, _ := topology.GetCoresFromHWThreads(hwthreads)
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// totalJobCores += len(hostCores)
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// }
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// return totalJobCores
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// }
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func requireField(ctx context.Context, name string) bool {
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fields := graphql.CollectAllFields(ctx)
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for _, f := range fields {
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if f == name {
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return true
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}
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}
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return false
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}
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