mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-11-10 08:57:25 +01:00
217 lines
7.4 KiB
Go
217 lines
7.4 KiB
Go
package metricdata
|
|
|
|
import (
|
|
"context"
|
|
"errors"
|
|
"fmt"
|
|
"log"
|
|
"strings"
|
|
"time"
|
|
"crypto/tls"
|
|
"encoding/json"
|
|
|
|
"github.com/ClusterCockpit/cc-backend/config"
|
|
"github.com/ClusterCockpit/cc-backend/schema"
|
|
influxdb2 "github.com/influxdata/influxdb-client-go/v2"
|
|
influxdb2Api "github.com/influxdata/influxdb-client-go/v2/api"
|
|
)
|
|
|
|
type LegacyInfluxDBv2DataRepositoryConfig struct {
|
|
Url string `json:"url"`
|
|
Token string `json:"token"`
|
|
Bucket string `json:"bucket"`
|
|
Org string `json:"org"`
|
|
Measurement string `json:"measurement"`
|
|
SkipTls bool `json:"skiptls"`
|
|
}
|
|
|
|
type LegacyInfluxDBv2DataRepository struct {
|
|
client influxdb2.Client
|
|
queryClient influxdb2Api.QueryAPI
|
|
bucket, measurement string
|
|
}
|
|
|
|
func (idb *LegacyInfluxDBv2DataRepository) Init(rawConfig json.RawMessage) error {
|
|
var config LegacyInfluxDBv2DataRepositoryConfig
|
|
if err := json.Unmarshal(rawConfig, &config); err != nil {
|
|
return err
|
|
}
|
|
|
|
idb.client = influxdb2.NewClientWithOptions(config.Url, config.Token, influxdb2.DefaultOptions().SetTLSConfig(&tls.Config {InsecureSkipVerify: config.SkipTls,} ))
|
|
idb.queryClient = idb.client.QueryAPI(config.Org)
|
|
idb.bucket = config.Bucket
|
|
idb.measurement = config.Measurement
|
|
|
|
return nil
|
|
}
|
|
|
|
func (idb *LegacyInfluxDBv2DataRepository) formatTime(t time.Time) string {
|
|
return t.Format(time.RFC3339) // Like “2006-01-02T15:04:05Z07:00”
|
|
}
|
|
|
|
func (idb *LegacyInfluxDBv2DataRepository) epochToTime(epoch int64) time.Time {
|
|
return time.Unix(epoch, 0)
|
|
}
|
|
|
|
func (idb *LegacyInfluxDBv2DataRepository) LoadData(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.JobData, error) {
|
|
|
|
fieldsConds := make([]string, 0, len(metrics))
|
|
for _, m := range metrics {
|
|
fieldsConds = append(fieldsConds, fmt.Sprintf(`r["_field"] == "%s"`, m))
|
|
}
|
|
fieldsCond := strings.Join(fieldsConds, " or ")
|
|
|
|
hostsConds := make([]string, 0, len(job.Resources))
|
|
for _, h := range job.Resources {
|
|
if h.HWThreads != nil || h.Accelerators != nil {
|
|
return nil, errors.New("the legacy InfluxDB metric data repository does not support HWThreads or Accelerators")
|
|
}
|
|
|
|
hostsConds = append(hostsConds, fmt.Sprintf(`r["host"] == "%s"`, h.Hostname))
|
|
}
|
|
hostsCond := strings.Join(hostsConds, " or ")
|
|
|
|
query := fmt.Sprintf(`
|
|
from(bucket: "%s")
|
|
|> range(start: %s, stop: %s)
|
|
|> filter(fn: (r) => r["_measurement"] == "%s" )
|
|
|> filter(fn: (r) => %s )
|
|
|> filter(fn: (r) => %s )
|
|
|> drop(columns: ["_start", "_stop", "_measurement"])`,
|
|
idb.bucket,
|
|
idb.formatTime(job.StartTime), idb.formatTime(idb.epochToTime(job.StartTimeUnix + int64(job.Duration) + int64(1) )),
|
|
idb.measurement, hostsCond, fieldsCond)
|
|
|
|
rows, err := idb.queryClient.Query(ctx, query)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
jobData := make(schema.JobData) // map[<string>FIELD]map[<MetricScope>SCOPE]<*JobMetric>METRIC
|
|
scope := schema.MetricScope("node") // Legacy Clusters only have Node Scope
|
|
|
|
for _, met := range metrics {
|
|
jobMetric, ok := jobData[met]
|
|
if !ok {
|
|
mc := config.GetMetricConfig(job.Cluster, met)
|
|
jobMetric = map[schema.MetricScope]*schema.JobMetric{
|
|
scope: { // uses scope var from above
|
|
Unit: mc.Unit,
|
|
Scope: "node", // Legacy Clusters only have Node Scope
|
|
Timestep: mc.Timestep,
|
|
Series: make([]schema.Series, 0, len(job.Resources)),
|
|
StatisticsSeries: nil, // Should be: &schema.StatsSeries{},
|
|
},
|
|
}
|
|
}
|
|
jobData[met] = jobMetric
|
|
}
|
|
|
|
field, host, hostSeries := "", "", schema.Series{}
|
|
|
|
for rows.Next() {
|
|
row := rows.Record()
|
|
if ( host == "" || host != row.ValueByKey("host").(string) || rows.TableChanged() ) {
|
|
if ( host != "" ) {
|
|
// Append Series before reset
|
|
jobData[field][scope].Series = append(jobData[field][scope].Series, hostSeries) // add to jobData before resetting
|
|
}
|
|
field, host = row.Field(), row.ValueByKey("host").(string)
|
|
hostSeries = schema.Series{
|
|
Hostname: host,
|
|
Statistics: nil,
|
|
Data: make([]schema.Float, 0),
|
|
}
|
|
}
|
|
val := row.Value().(float64)
|
|
hostSeries.Data = append(hostSeries.Data, schema.Float(val))
|
|
}
|
|
// Append last series
|
|
jobData[field][scope].Series = append(jobData[field][scope].Series, hostSeries)
|
|
|
|
stats, err := idb.LoadStats(job, metrics, ctx)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
for metric, nodes := range stats {
|
|
for node, stats := range nodes {
|
|
for index, _ := range jobData[metric][scope].Series {
|
|
if jobData[metric][scope].Series[index].Hostname == node {
|
|
jobData[metric][scope].Series[index].Statistics = &schema.MetricStatistics{Avg: stats.Avg, Min: stats.Min, Max: stats.Max}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// DEBUG:
|
|
// for _, met := range metrics {
|
|
// for _, series := range jobData[met][scope].Series {
|
|
// log.Println(fmt.Sprintf("<< Result: %d data points for metric %s on %s, Stats: Min %.2f, Max %.2f, Avg %.2f >>",
|
|
// len(series.Data), met, series.Hostname,
|
|
// series.Statistics.Min, series.Statistics.Max, series.Statistics.Avg))
|
|
// }
|
|
// }
|
|
return jobData, nil
|
|
}
|
|
|
|
func (idb *LegacyInfluxDBv2DataRepository) LoadStats(job *schema.Job, metrics []string, ctx context.Context) (map[string]map[string]schema.MetricStatistics, error) {
|
|
|
|
stats := map[string]map[string]schema.MetricStatistics{}
|
|
|
|
hostsConds := make([]string, 0, len(job.Resources))
|
|
for _, h := range job.Resources {
|
|
if h.HWThreads != nil || h.Accelerators != nil {
|
|
return nil, errors.New("the legacy InfluxDB metric data repository does not support HWThreads or Accelerators")
|
|
}
|
|
|
|
hostsConds = append(hostsConds, fmt.Sprintf(`r.host == "%s"`, h.Hostname))
|
|
}
|
|
hostsCond := strings.Join(hostsConds, " or ")
|
|
|
|
for _, metric := range metrics {
|
|
query := fmt.Sprintf(`
|
|
data = from(bucket: "%s")
|
|
|> range(start: %s, stop: %s)
|
|
|> filter(fn: (r) => r._measurement == "%s" and r._field == "%s" and (%s))
|
|
union(tables: [data |> mean(column: "_value") |> set(key: "_field", value: "avg"),
|
|
data |> min(column: "_value") |> set(key: "_field", value: "min"),
|
|
data |> max(column: "_value") |> set(key: "_field", value: "max")])
|
|
|> pivot(rowKey: ["host"], columnKey: ["_field"], valueColumn: "_value")
|
|
|> group()`,
|
|
idb.bucket,
|
|
idb.formatTime(job.StartTime), idb.formatTime(idb.epochToTime(job.StartTimeUnix + int64(job.Duration) + int64(1) )),
|
|
idb.measurement, metric, hostsCond)
|
|
|
|
rows, err := idb.queryClient.Query(ctx, query)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
nodes := map[string]schema.MetricStatistics{}
|
|
for rows.Next() {
|
|
row := rows.Record()
|
|
host := row.ValueByKey("host").(string)
|
|
avg, min, max := row.ValueByKey("avg").(float64),
|
|
row.ValueByKey("min").(float64),
|
|
row.ValueByKey("max").(float64)
|
|
|
|
nodes[host] = schema.MetricStatistics{
|
|
Avg: avg,
|
|
Min: min,
|
|
Max: max,
|
|
}
|
|
}
|
|
stats[metric] = nodes
|
|
}
|
|
|
|
return stats, nil
|
|
}
|
|
|
|
func (idb *LegacyInfluxDBv2DataRepository) LoadNodeData(cluster, partition string, metrics, nodes []string, scopes []schema.MetricScope, from, to time.Time, ctx context.Context) (map[string]map[string][]*schema.JobMetric, error) {
|
|
// TODO : Implement to be used in Analysis- und System/Node-View
|
|
log.Println(fmt.Sprintf("LoadNodeData unimplemented for LegacyInfluxDBv2DataRepository, Args: cluster %s, partition %s, metrics %v, nodes %v, scopes %v", cluster, partition, metrics, nodes, scopes))
|
|
|
|
return nil, errors.New("unimplemented for LegacyInfluxDBv2DataRepository")
|
|
}
|