mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2025-11-04 01:25:06 +01:00
767 lines
21 KiB
Go
767 lines
21 KiB
Go
// Copyright (C) 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 repository
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import (
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"context"
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"database/sql"
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"fmt"
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"math"
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"time"
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"github.com/ClusterCockpit/cc-backend/internal/config"
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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/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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sq "github.com/Masterminds/squirrel"
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)
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// GraphQL validation should make sure that no unkown values can be specified.
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var groupBy2column = map[model.Aggregate]string{
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model.AggregateUser: "job.user",
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model.AggregateProject: "job.project",
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model.AggregateCluster: "job.cluster",
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}
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var sortBy2column = map[model.SortByAggregate]string{
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model.SortByAggregateTotaljobs: "totalJobs",
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model.SortByAggregateTotalwalltime: "totalWalltime",
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model.SortByAggregateTotalnodes: "totalNodes",
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model.SortByAggregateTotalnodehours: "totalNodeHours",
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model.SortByAggregateTotalcores: "totalCores",
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model.SortByAggregateTotalcorehours: "totalCoreHours",
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model.SortByAggregateTotalaccs: "totalAccs",
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model.SortByAggregateTotalacchours: "totalAccHours",
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}
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func (r *JobRepository) buildCountQuery(
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filter []*model.JobFilter,
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kind string,
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col string) sq.SelectBuilder {
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var query sq.SelectBuilder
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if col != "" {
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// Scan columns: id, cnt
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query = sq.Select(col, "COUNT(job.id)").From("job").GroupBy(col)
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} else {
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// Scan columns: cnt
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query = sq.Select("COUNT(job.id)").From("job")
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}
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switch kind {
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case "running":
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query = query.Where("job.job_state = ?", "running")
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case "short":
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query = query.Where("job.duration < ?", config.Keys.ShortRunningJobsDuration)
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}
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for _, f := range filter {
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query = BuildWhereClause(f, query)
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}
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return query
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}
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func (r *JobRepository) buildStatsQuery(
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filter []*model.JobFilter,
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col string) sq.SelectBuilder {
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var query sq.SelectBuilder
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castType := r.getCastType()
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// fmt.Sprintf(`CAST(ROUND((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) / 3600) as %s) as value`, time.Now().Unix(), castType)
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if col != "" {
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// Scan columns: id, totalJobs, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours
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query = sq.Select(col, "COUNT(job.id) as totalJobs",
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fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END)) / 3600) as %s) as totalWalltime`, time.Now().Unix(), castType),
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fmt.Sprintf(`CAST(SUM(job.num_nodes) as %s) as totalNodes`, castType),
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fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as %s) as totalNodeHours`, time.Now().Unix(), castType),
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fmt.Sprintf(`CAST(SUM(job.num_hwthreads) as %s) as totalCores`, castType),
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fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as %s) as totalCoreHours`, time.Now().Unix(), castType),
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fmt.Sprintf(`CAST(SUM(job.num_acc) as %s) as totalAccs`, castType),
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fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as %s) as totalAccHours`, time.Now().Unix(), castType),
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).From("job").GroupBy(col)
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} else {
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// Scan columns: totalJobs, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours
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query = sq.Select("COUNT(job.id)",
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fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END)) / 3600) as %s)`, time.Now().Unix(), castType),
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fmt.Sprintf(`CAST(SUM(job.num_nodes) as %s)`, castType),
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fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as %s)`, time.Now().Unix(), castType),
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fmt.Sprintf(`CAST(SUM(job.num_hwthreads) as %s)`, castType),
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fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as %s)`, time.Now().Unix(), castType),
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fmt.Sprintf(`CAST(SUM(job.num_acc) as %s)`, castType),
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fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as %s)`, time.Now().Unix(), castType),
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).From("job")
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}
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for _, f := range filter {
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query = BuildWhereClause(f, query)
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}
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return query
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}
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func (r *JobRepository) getUserName(ctx context.Context, id string) string {
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user := GetUserFromContext(ctx)
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name, _ := r.FindColumnValue(user, id, "user", "name", "username", false)
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if name != "" {
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return name
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} else {
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return "-"
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}
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}
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func (r *JobRepository) getCastType() string {
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var castType string
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switch r.driver {
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case "sqlite3":
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castType = "int"
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case "mysql":
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castType = "unsigned"
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default:
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castType = ""
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}
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return castType
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}
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func (r *JobRepository) JobsStatsGrouped(
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ctx context.Context,
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filter []*model.JobFilter,
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page *model.PageRequest,
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sortBy *model.SortByAggregate,
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groupBy *model.Aggregate) ([]*model.JobsStatistics, error) {
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start := time.Now()
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col := groupBy2column[*groupBy]
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query := r.buildStatsQuery(filter, col)
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query, err := SecurityCheck(ctx, query)
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if err != nil {
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return nil, err
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}
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if sortBy != nil {
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sortBy := sortBy2column[*sortBy]
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query = query.OrderBy(fmt.Sprintf("%s DESC", sortBy))
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}
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if page != nil && page.ItemsPerPage != -1 {
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limit := uint64(page.ItemsPerPage)
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query = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)
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}
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rows, err := query.RunWith(r.DB).Query()
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if err != nil {
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log.Warn("Error while querying DB for job statistics")
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return nil, err
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}
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stats := make([]*model.JobsStatistics, 0, 100)
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for rows.Next() {
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var id sql.NullString
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var jobs, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64
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if err := rows.Scan(&id, &jobs, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {
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log.Warn("Error while scanning rows")
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return nil, err
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}
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if id.Valid {
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var totalJobs, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int
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if jobs.Valid {
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totalJobs = int(jobs.Int64)
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}
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if walltime.Valid {
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totalWalltime = int(walltime.Int64)
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}
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if nodes.Valid {
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totalNodes = int(nodes.Int64)
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}
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if cores.Valid {
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totalCores = int(cores.Int64)
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}
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if accs.Valid {
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totalAccs = int(accs.Int64)
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}
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if nodeHours.Valid {
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totalNodeHours = int(nodeHours.Int64)
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}
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if coreHours.Valid {
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totalCoreHours = int(coreHours.Int64)
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}
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if accHours.Valid {
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totalAccHours = int(accHours.Int64)
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}
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if col == "job.user" {
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name := r.getUserName(ctx, id.String)
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stats = append(stats,
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&model.JobsStatistics{
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ID: id.String,
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Name: name,
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TotalJobs: totalJobs,
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TotalWalltime: totalWalltime,
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TotalNodes: totalNodes,
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TotalNodeHours: totalNodeHours,
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TotalCores: totalCores,
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TotalCoreHours: totalCoreHours,
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TotalAccs: totalAccs,
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TotalAccHours: totalAccHours})
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} else {
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stats = append(stats,
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&model.JobsStatistics{
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ID: id.String,
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TotalJobs: int(jobs.Int64),
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TotalWalltime: int(walltime.Int64),
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TotalNodes: totalNodes,
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TotalNodeHours: totalNodeHours,
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TotalCores: totalCores,
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TotalCoreHours: totalCoreHours,
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TotalAccs: totalAccs,
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TotalAccHours: totalAccHours})
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}
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}
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}
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log.Debugf("Timer JobsStatsGrouped %s", time.Since(start))
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return stats, nil
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}
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func (r *JobRepository) JobsStats(
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ctx context.Context,
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filter []*model.JobFilter) ([]*model.JobsStatistics, error) {
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start := time.Now()
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query := r.buildStatsQuery(filter, "")
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query, err := SecurityCheck(ctx, query)
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if err != nil {
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return nil, err
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}
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row := query.RunWith(r.DB).QueryRow()
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stats := make([]*model.JobsStatistics, 0, 1)
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var jobs, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64
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if err := row.Scan(&jobs, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {
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log.Warn("Error while scanning rows")
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return nil, err
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}
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if jobs.Valid {
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var totalNodeHours, totalCoreHours, totalAccHours int
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if nodeHours.Valid {
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totalNodeHours = int(nodeHours.Int64)
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}
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if coreHours.Valid {
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totalCoreHours = int(coreHours.Int64)
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}
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if accHours.Valid {
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totalAccHours = int(accHours.Int64)
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}
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stats = append(stats,
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&model.JobsStatistics{
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TotalJobs: int(jobs.Int64),
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TotalWalltime: int(walltime.Int64),
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TotalNodeHours: totalNodeHours,
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TotalCoreHours: totalCoreHours,
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TotalAccHours: totalAccHours})
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}
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log.Debugf("Timer JobStats %s", time.Since(start))
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return stats, nil
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}
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func LoadJobStat(job *schema.JobMeta, metric string) float64 {
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if stats, ok := job.Statistics[metric]; ok {
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if metric == "mem_used" {
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return stats.Max
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} else {
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return stats.Avg
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}
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}
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return 0.0
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}
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func (r *JobRepository) JobCountGrouped(
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ctx context.Context,
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filter []*model.JobFilter,
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groupBy *model.Aggregate) ([]*model.JobsStatistics, error) {
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start := time.Now()
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col := groupBy2column[*groupBy]
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query := r.buildCountQuery(filter, "", col)
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query, err := SecurityCheck(ctx, query)
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if err != nil {
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return nil, err
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}
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rows, err := query.RunWith(r.DB).Query()
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if err != nil {
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log.Warn("Error while querying DB for job statistics")
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return nil, err
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}
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stats := make([]*model.JobsStatistics, 0, 100)
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for rows.Next() {
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var id sql.NullString
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var cnt sql.NullInt64
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if err := rows.Scan(&id, &cnt); err != nil {
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log.Warn("Error while scanning rows")
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return nil, err
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}
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if id.Valid {
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stats = append(stats,
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&model.JobsStatistics{
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ID: id.String,
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TotalJobs: int(cnt.Int64)})
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}
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}
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log.Debugf("Timer JobCountGrouped %s", time.Since(start))
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return stats, nil
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}
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func (r *JobRepository) AddJobCountGrouped(
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ctx context.Context,
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filter []*model.JobFilter,
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groupBy *model.Aggregate,
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stats []*model.JobsStatistics,
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kind string) ([]*model.JobsStatistics, error) {
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start := time.Now()
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col := groupBy2column[*groupBy]
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query := r.buildCountQuery(filter, kind, col)
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query, err := SecurityCheck(ctx, query)
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if err != nil {
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return nil, err
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}
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rows, err := query.RunWith(r.DB).Query()
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if err != nil {
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log.Warn("Error while querying DB for job statistics")
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return nil, err
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}
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counts := make(map[string]int)
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for rows.Next() {
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var id sql.NullString
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var cnt sql.NullInt64
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if err := rows.Scan(&id, &cnt); err != nil {
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log.Warn("Error while scanning rows")
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return nil, err
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}
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if id.Valid {
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counts[id.String] = int(cnt.Int64)
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}
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}
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switch kind {
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case "running":
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for _, s := range stats {
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s.RunningJobs = counts[s.ID]
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}
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case "short":
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for _, s := range stats {
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s.ShortJobs = counts[s.ID]
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}
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}
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log.Debugf("Timer AddJobCountGrouped %s", time.Since(start))
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return stats, nil
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}
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func (r *JobRepository) AddJobCount(
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ctx context.Context,
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filter []*model.JobFilter,
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stats []*model.JobsStatistics,
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kind string) ([]*model.JobsStatistics, error) {
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start := time.Now()
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query := r.buildCountQuery(filter, kind, "")
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query, err := SecurityCheck(ctx, query)
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if err != nil {
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return nil, err
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}
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rows, err := query.RunWith(r.DB).Query()
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if err != nil {
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log.Warn("Error while querying DB for job statistics")
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return nil, err
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}
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var count int
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for rows.Next() {
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var cnt sql.NullInt64
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if err := rows.Scan(&cnt); err != nil {
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log.Warn("Error while scanning rows")
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return nil, err
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}
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count = int(cnt.Int64)
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}
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switch kind {
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case "running":
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for _, s := range stats {
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s.RunningJobs = count
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}
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case "short":
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for _, s := range stats {
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s.ShortJobs = count
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}
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}
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log.Debugf("Timer AddJobCount %s", time.Since(start))
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return stats, nil
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}
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func (r *JobRepository) AddHistograms(
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ctx context.Context,
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filter []*model.JobFilter,
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stat *model.JobsStatistics) (*model.JobsStatistics, error) {
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start := time.Now()
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castType := r.getCastType()
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var err error
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value := fmt.Sprintf(`CAST(ROUND((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) / 3600) as %s) as value`, time.Now().Unix(), castType)
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stat.HistDuration, err = r.jobsStatisticsHistogram(ctx, value, filter)
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if err != nil {
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log.Warn("Error while loading job statistics histogram: running jobs")
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return nil, err
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}
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stat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, "job.num_nodes as value", filter)
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if err != nil {
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log.Warn("Error while loading job statistics histogram: num nodes")
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return nil, err
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}
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stat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, "job.num_hwthreads as value", filter)
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if err != nil {
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log.Warn("Error while loading job statistics histogram: num hwthreads")
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return nil, err
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}
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stat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, "job.num_acc as value", filter)
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if err != nil {
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log.Warn("Error while loading job statistics histogram: num acc")
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return nil, err
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}
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log.Debugf("Timer AddHistograms %s", time.Since(start))
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return stat, nil
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}
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// Requires thresholds for metric from config for cluster? Of all clusters and use largest? split to 10 + 1 for artifacts?
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func (r *JobRepository) AddMetricHistograms(
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ctx context.Context,
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filter []*model.JobFilter,
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metrics []string,
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stat *model.JobsStatistics) (*model.JobsStatistics, error) {
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start := time.Now()
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// Running Jobs Only: First query jobdata from sqlite, then query data and make bins
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for _, f := range filter {
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if f.State != nil {
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if len(f.State) == 1 && f.State[0] == "running" {
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stat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter)
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log.Debugf("Timer AddMetricHistograms %s", time.Since(start))
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return stat, nil
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}
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}
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}
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// All other cases: Query and make bins in sqlite directly
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for _, m := range metrics {
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metricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter)
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if err != nil {
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log.Warnf("Error while loading job metric statistics histogram: %s", m)
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continue
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}
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stat.HistMetrics = append(stat.HistMetrics, metricHisto)
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}
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log.Debugf("Timer AddMetricHistograms %s", time.Since(start))
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return stat, nil
|
|
}
|
|
|
|
// `value` must be the column grouped by, but renamed to "value"
|
|
func (r *JobRepository) jobsStatisticsHistogram(
|
|
ctx context.Context,
|
|
value string,
|
|
filters []*model.JobFilter) ([]*model.HistoPoint, error) {
|
|
|
|
start := time.Now()
|
|
query, qerr := SecurityCheck(ctx,
|
|
sq.Select(value, "COUNT(job.id) AS count").From("job"))
|
|
|
|
if qerr != nil {
|
|
return nil, qerr
|
|
}
|
|
|
|
for _, f := range filters {
|
|
query = BuildWhereClause(f, query)
|
|
}
|
|
|
|
rows, err := query.GroupBy("value").RunWith(r.DB).Query()
|
|
if err != nil {
|
|
log.Error("Error while running query")
|
|
return nil, err
|
|
}
|
|
|
|
points := make([]*model.HistoPoint, 0)
|
|
for rows.Next() {
|
|
point := model.HistoPoint{}
|
|
if err := rows.Scan(&point.Value, &point.Count); err != nil {
|
|
log.Warn("Error while scanning rows")
|
|
return nil, err
|
|
}
|
|
|
|
points = append(points, &point)
|
|
}
|
|
log.Debugf("Timer jobsStatisticsHistogram %s", time.Since(start))
|
|
return points, nil
|
|
}
|
|
|
|
func (r *JobRepository) jobsMetricStatisticsHistogram(
|
|
ctx context.Context,
|
|
metric string,
|
|
filters []*model.JobFilter) (*model.MetricHistoPoints, error) {
|
|
|
|
var dbMetric string
|
|
switch metric {
|
|
case "cpu_load":
|
|
dbMetric = "load_avg"
|
|
case "flops_any":
|
|
dbMetric = "flops_any_avg"
|
|
case "mem_bw":
|
|
dbMetric = "mem_bw_avg"
|
|
case "mem_used":
|
|
dbMetric = "mem_used_max"
|
|
case "net_bw":
|
|
dbMetric = "net_bw_avg"
|
|
case "file_bw":
|
|
dbMetric = "file_bw_avg"
|
|
default:
|
|
return nil, fmt.Errorf("%s not implemented", metric)
|
|
}
|
|
|
|
// Get specific Peak or largest Peak
|
|
var metricConfig *schema.MetricConfig
|
|
var peak float64 = 0.0
|
|
var unit string = ""
|
|
|
|
for _, f := range filters {
|
|
if f.Cluster != nil {
|
|
metricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)
|
|
peak = metricConfig.Peak
|
|
unit = metricConfig.Unit.Prefix + metricConfig.Unit.Base
|
|
log.Debugf("Cluster %s filter found with peak %f for %s", *f.Cluster.Eq, peak, metric)
|
|
}
|
|
}
|
|
|
|
if peak == 0.0 {
|
|
for _, c := range archive.Clusters {
|
|
for _, m := range c.MetricConfig {
|
|
if m.Name == metric {
|
|
if m.Peak > peak {
|
|
peak = m.Peak
|
|
}
|
|
if unit == "" {
|
|
unit = m.Unit.Prefix + m.Unit.Base
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// log.Debugf("Metric %s: DB %s, Peak %f, Unit %s", metric, dbMetric, peak, unit)
|
|
// Make bins, see https://jereze.com/code/sql-histogram/
|
|
|
|
start := time.Now()
|
|
|
|
crossJoinQuery := sq.Select(
|
|
fmt.Sprintf(`max(%s) as max`, dbMetric),
|
|
fmt.Sprintf(`min(%s) as min`, dbMetric),
|
|
).From("job").Where(
|
|
fmt.Sprintf(`%s is not null`, dbMetric),
|
|
).Where(
|
|
fmt.Sprintf(`%s <= %f`, dbMetric, peak),
|
|
)
|
|
|
|
crossJoinQuery, cjqerr := SecurityCheck(ctx, crossJoinQuery)
|
|
|
|
if cjqerr != nil {
|
|
return nil, cjqerr
|
|
}
|
|
|
|
for _, f := range filters {
|
|
crossJoinQuery = BuildWhereClause(f, crossJoinQuery)
|
|
}
|
|
|
|
crossJoinQuerySql, crossJoinQueryArgs, sqlerr := crossJoinQuery.ToSql()
|
|
if sqlerr != nil {
|
|
return nil, sqlerr
|
|
}
|
|
|
|
bins := 10
|
|
binQuery := fmt.Sprintf(`CAST( (case when job.%s = value.max then value.max*0.999999999 else job.%s end - value.min) / (value.max - value.min) * %d as INTEGER )`, dbMetric, dbMetric, bins)
|
|
|
|
mainQuery := sq.Select(
|
|
fmt.Sprintf(`%s + 1 as bin`, binQuery),
|
|
fmt.Sprintf(`count(job.%s) as count`, dbMetric),
|
|
fmt.Sprintf(`CAST(((value.max / %d) * (%s )) as INTEGER ) as min`, bins, binQuery),
|
|
fmt.Sprintf(`CAST(((value.max / %d) * (%s + 1 )) as INTEGER ) as max`, bins, binQuery),
|
|
).From("job").CrossJoin(
|
|
fmt.Sprintf(`(%s) as value`, crossJoinQuerySql), crossJoinQueryArgs...,
|
|
).Where(fmt.Sprintf(`job.%s is not null and job.%s <= %f`, dbMetric, dbMetric, peak))
|
|
|
|
mainQuery, qerr := SecurityCheck(ctx, mainQuery)
|
|
|
|
if qerr != nil {
|
|
return nil, qerr
|
|
}
|
|
|
|
for _, f := range filters {
|
|
mainQuery = BuildWhereClause(f, mainQuery)
|
|
}
|
|
|
|
// Finalize query with Grouping and Ordering
|
|
mainQuery = mainQuery.GroupBy("bin").OrderBy("bin")
|
|
|
|
rows, err := mainQuery.RunWith(r.DB).Query()
|
|
if err != nil {
|
|
log.Errorf("Error while running mainQuery: %s", err)
|
|
return nil, err
|
|
}
|
|
|
|
points := make([]*model.MetricHistoPoint, 0)
|
|
for rows.Next() {
|
|
point := model.MetricHistoPoint{}
|
|
if err := rows.Scan(&point.Bin, &point.Count, &point.Min, &point.Max); err != nil {
|
|
log.Warnf("Error while scanning rows for %s", metric)
|
|
return nil, err // Totally bricks cc-backend if returned and if all metrics requested?
|
|
}
|
|
|
|
points = append(points, &point)
|
|
}
|
|
|
|
result := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}
|
|
|
|
log.Debugf("Timer jobsStatisticsHistogram %s", time.Since(start))
|
|
return &result, nil
|
|
}
|
|
|
|
func (r *JobRepository) runningJobsMetricStatisticsHistogram(
|
|
ctx context.Context,
|
|
metrics []string,
|
|
filters []*model.JobFilter) []*model.MetricHistoPoints {
|
|
|
|
// Get Jobs
|
|
jobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 500 + 1}, nil)
|
|
if err != nil {
|
|
log.Errorf("Error while querying jobs for footprint: %s", err)
|
|
return nil
|
|
}
|
|
if len(jobs) > 500 {
|
|
log.Errorf("too many jobs matched (max: %d)", 500)
|
|
return nil
|
|
}
|
|
|
|
// Get AVGs from metric repo
|
|
avgs := make([][]schema.Float, len(metrics))
|
|
for i := range avgs {
|
|
avgs[i] = make([]schema.Float, 0, len(jobs))
|
|
}
|
|
|
|
for _, job := range jobs {
|
|
if job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {
|
|
continue
|
|
}
|
|
|
|
if err := metricdata.LoadAverages(job, metrics, avgs, ctx); err != nil {
|
|
log.Errorf("Error while loading averages for histogram: %s", err)
|
|
return nil
|
|
}
|
|
}
|
|
|
|
// Iterate metrics to fill endresult
|
|
data := make([]*model.MetricHistoPoints, 0)
|
|
for idx, metric := range metrics {
|
|
// Get specific Peak or largest Peak
|
|
var metricConfig *schema.MetricConfig
|
|
var peak float64 = 0.0
|
|
var unit string = ""
|
|
|
|
for _, f := range filters {
|
|
if f.Cluster != nil {
|
|
metricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)
|
|
peak = metricConfig.Peak
|
|
unit = metricConfig.Unit.Prefix + metricConfig.Unit.Base
|
|
log.Debugf("Cluster %s filter found with peak %f for %s", *f.Cluster.Eq, peak, metric)
|
|
}
|
|
}
|
|
|
|
if peak == 0.0 {
|
|
for _, c := range archive.Clusters {
|
|
for _, m := range c.MetricConfig {
|
|
if m.Name == metric {
|
|
if m.Peak > peak {
|
|
peak = m.Peak
|
|
}
|
|
if unit == "" {
|
|
unit = m.Unit.Prefix + m.Unit.Base
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Make and fill bins
|
|
bins := 10.0
|
|
peakBin := peak / bins
|
|
|
|
points := make([]*model.MetricHistoPoint, 0)
|
|
for b := 0; b < 10; b++ {
|
|
count := 0
|
|
bindex := b + 1
|
|
bmin := math.Round(peakBin * float64(b))
|
|
bmax := math.Round(peakBin * (float64(b) + 1.0))
|
|
|
|
// Iterate AVG values for indexed metric and count for bins
|
|
for _, val := range avgs[idx] {
|
|
if float64(val) >= bmin && float64(val) < bmax {
|
|
count += 1
|
|
}
|
|
}
|
|
|
|
bminint := int(bmin)
|
|
bmaxint := int(bmax)
|
|
|
|
// Append Bin to Metric Result Array
|
|
point := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bminint, Max: &bmaxint}
|
|
points = append(points, &point)
|
|
}
|
|
|
|
// Append Metric Result Array to final results array
|
|
result := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}
|
|
data = append(data, &result)
|
|
}
|
|
|
|
return data
|
|
}
|