ClusterCockpit/cc-backend
1
0
Fork 0
mirror of https://github.com/ClusterCockpit/cc-backend synced 2024-09-20 11:27:26 +02:00
Code Issues Packages Releases Activity

Merge branch 'sample_resolution_select' of https://github.com/ClusterCockpit/cc-backend into sample_resolution_select

Browse Source
This commit is contained in:
Christoph Kluge 2024-08-26 09:55:36 +02:00
commit 5cc7fc6ccb
3 changed files with 30 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
internal/metricdata/cc-metric-store.go
View File

@ -528,14 +528,14 @@ func (ccms *CCMetricStore) LoadStats(
ctx context.Context, ctx context.Context,
) (map[string]map[string]schema.MetricStatistics, error) { ) (map[string]map[string]schema.MetricStatistics, error) {
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig // metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
resolution := 9000 // resolution := 9000
for _, mc := range metricConfigs { // for _, mc := range metricConfigs {
resolution = min(resolution, mc.Timestep) // resolution = min(resolution, mc.Timestep)
} // }
queries, _, err := ccms.buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, resolution) // #166 Add scope shere for analysis view accelerator normalization? queries, _, err := ccms.buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, 0) // #166 Add scope shere for analysis view accelerator normalization?
if err != nil { if err != nil {
log.Warn("Error while building query") log.Warn("Error while building query")
return nil, err return nil, err

10
pkg/resampler/resampler.go
View File

@ -90,6 +90,7 @@ func LargestTriangleThreeBucket(data []schema.Float, old_frequency int, new_freq
maxArea := -1.0 maxArea := -1.0
var maxAreaPoint int var maxAreaPoint int
flag_ := 0
for ; currBucketStart < currBucketEnd; currBucketStart++ { for ; currBucketStart < currBucketEnd; currBucketStart++ {
area := calculateTriangleArea(schema.Float(pointX), pointY, avgPointX, avgPointY, schema.Float(currBucketStart), data[currBucketStart]) area := calculateTriangleArea(schema.Float(pointX), pointY, avgPointX, avgPointY, schema.Float(currBucketStart), data[currBucketStart])
@ -97,9 +98,18 @@ func LargestTriangleThreeBucket(data []schema.Float, old_frequency int, new_freq
maxArea = area maxArea = area
maxAreaPoint = currBucketStart maxAreaPoint = currBucketStart
} }
if math.IsNaN(float64(avgPointY)) {
flag_ = 1
}
} }
if flag_ == 1 {
new_data = append(new_data, schema.NaN) // Pick this point from the bucket
} else {
new_data = append(new_data, data[maxAreaPoint]) // Pick this point from the bucket new_data = append(new_data, data[maxAreaPoint]) // Pick this point from the bucket
}
prevMaxAreaPoint = maxAreaPoint // This MaxArea point is the next's prevMAxAreaPoint prevMaxAreaPoint = maxAreaPoint // This MaxArea point is the next's prevMAxAreaPoint
//move to the next window //move to the next window

12
pkg/resampler/util.go
View File

@ -12,14 +12,24 @@ func calculateTriangleArea(paX, paY, pbX, pbY, pcX, pcY schema.Float) float64 {
} }
func calculateAverageDataPoint(points []schema.Float, xStart int64) (avgX schema.Float, avgY schema.Float) { func calculateAverageDataPoint(points []schema.Float, xStart int64) (avgX schema.Float, avgY schema.Float) {
flag := 0
for _, point := range points { for _, point := range points {
avgX += schema.Float(xStart) avgX += schema.Float(xStart)
avgY += point avgY += point
xStart++ xStart++
if math.IsNaN(float64(point)) {
flag = 1
} }
}
l := schema.Float(len(points)) l := schema.Float(len(points))
avgX /= l avgX /= l
avgY /= l avgY /= l
if flag == 1 {
return avgX, schema.NaN
} else {
return avgX, avgY return avgX, avgY
}
} }