mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-11-14 10:47:26 +01:00
90 lines
2.9 KiB
Go
90 lines
2.9 KiB
Go
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
|
|
// All rights reserved.
|
|
// Use of this source code is governed by a MIT-style
|
|
// license that can be found in the LICENSE file.
|
|
package metricdata
|
|
|
|
import (
|
|
"context"
|
|
"encoding/json"
|
|
"time"
|
|
|
|
"github.com/ClusterCockpit/cc-backend/pkg/schema"
|
|
)
|
|
|
|
var TestLoadDataCallback func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
|
|
panic("TODO")
|
|
}
|
|
|
|
// Only a mock for unit-testing.
|
|
type TestMetricDataRepository struct{}
|
|
|
|
func (tmdr *TestMetricDataRepository) Init(_ json.RawMessage) error {
|
|
return nil
|
|
}
|
|
|
|
func (tmdr *TestMetricDataRepository) LoadData(
|
|
job *schema.Job,
|
|
metrics []string,
|
|
scopes []schema.MetricScope,
|
|
ctx context.Context,
|
|
resolution int) (schema.JobData, error) {
|
|
|
|
return TestLoadDataCallback(job, metrics, scopes, ctx, resolution)
|
|
}
|
|
|
|
func (tmdr *TestMetricDataRepository) LoadStats(
|
|
job *schema.Job,
|
|
metrics []string, ctx context.Context) (map[string]map[string]schema.MetricStatistics, error) {
|
|
|
|
panic("TODO")
|
|
}
|
|
|
|
func (tmdr *TestMetricDataRepository) LoadNodeData(
|
|
cluster string,
|
|
metrics, nodes []string,
|
|
scopes []schema.MetricScope,
|
|
from, to time.Time,
|
|
ctx context.Context) (map[string]map[string][]*schema.JobMetric, error) {
|
|
|
|
panic("TODO")
|
|
}
|
|
|
|
func DeepCopy(jd_temp schema.JobData) schema.JobData {
|
|
var jd schema.JobData
|
|
|
|
jd = make(schema.JobData, len(jd_temp))
|
|
for k, v := range jd_temp {
|
|
jd[k] = make(map[schema.MetricScope]*schema.JobMetric, len(jd_temp[k]))
|
|
for k_, v_ := range v {
|
|
jd[k][k_] = new(schema.JobMetric)
|
|
jd[k][k_].Series = make([]schema.Series, len(v_.Series))
|
|
for i := 0; i < len(v_.Series); i += 1 {
|
|
jd[k][k_].Series[i].Data = make([]schema.Float, len(v_.Series[i].Data))
|
|
copy(jd[k][k_].Series[i].Data, v_.Series[i].Data)
|
|
jd[k][k_].Series[i].Hostname = v_.Series[i].Hostname
|
|
jd[k][k_].Series[i].Id = v_.Series[i].Id
|
|
jd[k][k_].Series[i].Statistics.Avg = v_.Series[i].Statistics.Avg
|
|
jd[k][k_].Series[i].Statistics.Min = v_.Series[i].Statistics.Min
|
|
jd[k][k_].Series[i].Statistics.Max = v_.Series[i].Statistics.Max
|
|
}
|
|
jd[k][k_].Timestep = v_.Timestep
|
|
jd[k][k_].Unit.Base = v_.Unit.Base
|
|
jd[k][k_].Unit.Prefix = v_.Unit.Prefix
|
|
if v_.StatisticsSeries != nil {
|
|
jd[k][k_].StatisticsSeries = new(schema.StatsSeries)
|
|
copy(jd[k][k_].StatisticsSeries.Max, v_.StatisticsSeries.Max)
|
|
copy(jd[k][k_].StatisticsSeries.Min, v_.StatisticsSeries.Min)
|
|
copy(jd[k][k_].StatisticsSeries.Median, v_.StatisticsSeries.Median)
|
|
copy(jd[k][k_].StatisticsSeries.Mean, v_.StatisticsSeries.Mean)
|
|
for k__, v__ := range v_.StatisticsSeries.Percentiles {
|
|
jd[k][k_].StatisticsSeries.Percentiles[k__] = v__
|
|
}
|
|
} else {
|
|
jd[k][k_].StatisticsSeries = v_.StatisticsSeries
|
|
}
|
|
}
|
|
}
|
|
return jd
|
|
}
|