cc-backend/metricdata/influxdb-v2-legacy.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")
}