mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-11-10 08:57:25 +01:00
260 lines
9.5 KiB
Go
260 lines
9.5 KiB
Go
package metricdata
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import (
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"context"
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"errors"
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"fmt"
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"log"
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"strings"
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"time"
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"crypto/tls"
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"encoding/json"
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"github.com/ClusterCockpit/cc-backend/config"
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"github.com/ClusterCockpit/cc-backend/schema"
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influxdb2 "github.com/influxdata/influxdb-client-go/v2"
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influxdb2Api "github.com/influxdata/influxdb-client-go/v2/api"
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)
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type InfluxDBv2DataRepositoryConfig struct {
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Url string `json:"url"`
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Token string `json:"token"`
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Bucket string `json:"bucket"`
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Org string `json:"org"`
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SkipTls bool `json:"skiptls"`
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}
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type InfluxDBv2DataRepository struct {
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client influxdb2.Client
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queryClient influxdb2Api.QueryAPI
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bucket, measurement string
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}
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func (idb *InfluxDBv2DataRepository) Init(rawConfig json.RawMessage) error {
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var config InfluxDBv2DataRepositoryConfig
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if err := json.Unmarshal(rawConfig, &config); err != nil {
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return err
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}
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idb.client = influxdb2.NewClientWithOptions(config.Url, config.Token, influxdb2.DefaultOptions().SetTLSConfig(&tls.Config {InsecureSkipVerify: config.SkipTls,} ))
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idb.queryClient = idb.client.QueryAPI(config.Org)
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idb.bucket = config.Bucket
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return nil
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}
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func (idb *InfluxDBv2DataRepository) formatTime(t time.Time) string {
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return t.Format(time.RFC3339) // Like “2006-01-02T15:04:05Z07:00”
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}
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func (idb *InfluxDBv2DataRepository) epochToTime(epoch int64) time.Time {
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return time.Unix(epoch, 0)
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}
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func (idb *InfluxDBv2DataRepository) LoadData(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.JobData, error) {
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// DEBUG
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// log.Println("<< Requested Metrics >> ")
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// log.Println(metrics)
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// log.Println("<< Requested Scope >> ")
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// log.Println(scopes)
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measurementsConds := make([]string, 0, len(metrics))
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for _, m := range metrics {
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measurementsConds = append(measurementsConds, fmt.Sprintf(`r["_measurement"] == "%s"`, m))
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}
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measurementsCond := strings.Join(measurementsConds, " or ")
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hostsConds := make([]string, 0, len(job.Resources))
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for _, h := range job.Resources {
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if h.HWThreads != nil || h.Accelerators != nil {
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// TODO
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return nil, errors.New("the InfluxDB metric data repository does not yet support HWThreads or Accelerators")
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}
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hostsConds = append(hostsConds, fmt.Sprintf(`r["hostname"] == "%s"`, h.Hostname))
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}
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hostsCond := strings.Join(hostsConds, " or ")
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jobData := make(schema.JobData) // Empty Schema: map[<string>FIELD]map[<MetricScope>SCOPE]<*JobMetric>METRIC
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// Requested Scopes
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for _, scope := range scopes {
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// Query Influxdb
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query := ""
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switch scope {
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case "node":
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// Get Finest Granularity, Groupy By Measurement and Hostname (== Metric / Node), Calculate Mean, Set NULL to 0.0
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query = fmt.Sprintf(`
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from(bucket: "%s")
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|> range(start: %s, stop: %s)
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|> filter(fn: (r) => %s )
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|> filter(fn: (r) => %s )
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|> drop(columns: ["_start", "_stop"])
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|> group(columns: ["hostname", "_measurement"])
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|> aggregateWindow(every: 60s, fn: mean)
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|> map(fn: (r) => (if exists r._value then {r with _value: r._value} else {r with _value: 0.0}))`,
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idb.bucket,
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idb.formatTime(job.StartTime), idb.formatTime(idb.epochToTime(job.StartTimeUnix + int64(job.Duration) + int64(1) )),
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measurementsCond, hostsCond)
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default:
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log.Println("Note: Other scope than 'node' requested, but not yet supported: Will return 'node' scope. ")
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query = fmt.Sprintf(`
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from(bucket: "%s")
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|> range(start: %s, stop: %s)
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|> filter(fn: (r) => %s )
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|> filter(fn: (r) => %s )
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|> drop(columns: ["_start", "_stop"])
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|> group(columns: ["hostname", "_measurement"])
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|> aggregateWindow(every: 60s, fn: mean)
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|> map(fn: (r) => (if exists r._value then {r with _value: r._value} else {r with _value: 0.0}))`,
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idb.bucket,
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idb.formatTime(job.StartTime), idb.formatTime(idb.epochToTime(job.StartTimeUnix + int64(job.Duration) + int64(1) )),
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measurementsCond, hostsCond)
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// return nil, errors.New("the InfluxDB metric data repository does not yet support other scopes than 'node'")
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}
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rows, err := idb.queryClient.Query(ctx, query)
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if err != nil {
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return nil, err
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}
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// Init Metrics
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for _, metric := range metrics {
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jobMetric, ok := jobData[metric]
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if !ok {
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mc := config.GetMetricConfig(job.Cluster, metric)
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jobMetric = map[schema.MetricScope]*schema.JobMetric{
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scope: { // uses scope var from above!
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Unit: mc.Unit,
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Scope: scope,
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Timestep: mc.Timestep,
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Series: make([]schema.Series, 0, len(job.Resources)),
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StatisticsSeries: nil, // Should be: &schema.StatsSeries{},
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},
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}
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}
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jobData[metric] = jobMetric
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}
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// Process Result: Time-Data
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field, host, hostSeries := "", "", schema.Series{}
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for rows.Next() {
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row := rows.Record()
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if ( host == "" || host != row.ValueByKey("hostname").(string) || rows.TableChanged() ) {
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if ( host != "" ) {
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// Append Series before reset
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jobData[field][scope].Series = append(jobData[field][scope].Series, hostSeries)
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}
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field, host = row.Measurement(), row.ValueByKey("hostname").(string)
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hostSeries = schema.Series{
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Hostname: host,
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Statistics: nil,
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Data: make([]schema.Float, 0),
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}
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}
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val := row.Value().(float64)
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hostSeries.Data = append(hostSeries.Data, schema.Float(val))
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}
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// Append last Series
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jobData[field][scope].Series = append(jobData[field][scope].Series, hostSeries)
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}
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// Get Stats
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stats, err := idb.LoadStats(job, metrics, ctx)
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if err != nil {
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return nil, err
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}
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for _, scope := range scopes {
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for metric, nodes := range stats {
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// log.Println(fmt.Sprintf("<< Add Stats for : Field %s >>", metric))
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for node, stats := range nodes {
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// log.Println(fmt.Sprintf("<< Add Stats for : Host %s : Min %.2f, Max %.2f, Avg %.2f >>", node, stats.Min, stats.Max, stats.Avg ))
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for index, _ := range jobData[metric][scope].Series {
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// log.Println(fmt.Sprintf("<< Try to add Stats to Series in Position %d >>", index))
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if jobData[metric][scope].Series[index].Hostname == node {
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// log.Println(fmt.Sprintf("<< Match for Series in Position %d : Host %s >>", index, jobData[metric][scope].Series[index].Hostname))
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jobData[metric][scope].Series[index].Statistics = &schema.MetricStatistics{Avg: stats.Avg, Min: stats.Min, Max: stats.Max}
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// log.Println(fmt.Sprintf("<< Result Inner: Min %.2f, Max %.2f, Avg %.2f >>", jobData[metric][scope].Series[index].Statistics.Min, jobData[metric][scope].Series[index].Statistics.Max, jobData[metric][scope].Series[index].Statistics.Avg))
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}
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}
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}
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}
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}
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// DEBUG:
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// for _, scope := range scopes {
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// for _, met := range metrics {
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// for _, series := range jobData[met][scope].Series {
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// log.Println(fmt.Sprintf("<< Result: %d data points for metric %s on %s with scope %s, Stats: Min %.2f, Max %.2f, Avg %.2f >>",
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// len(series.Data), met, series.Hostname, scope,
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// series.Statistics.Min, series.Statistics.Max, series.Statistics.Avg))
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// }
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// }
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// }
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return jobData, nil
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}
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func (idb *InfluxDBv2DataRepository) LoadStats(job *schema.Job, metrics []string, ctx context.Context) (map[string]map[string]schema.MetricStatistics, error) {
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stats := map[string]map[string]schema.MetricStatistics{}
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hostsConds := make([]string, 0, len(job.Resources))
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for _, h := range job.Resources {
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if h.HWThreads != nil || h.Accelerators != nil {
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// TODO
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return nil, errors.New("the InfluxDB metric data repository does not yet support HWThreads or Accelerators")
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}
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hostsConds = append(hostsConds, fmt.Sprintf(`r["hostname"] == "%s"`, h.Hostname))
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}
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hostsCond := strings.Join(hostsConds, " or ")
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for _, metric := range metrics {
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query := fmt.Sprintf(`
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data = from(bucket: "%s")
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|> range(start: %s, stop: %s)
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|> filter(fn: (r) => r._measurement == "%s" and r._field == "value" and (%s))
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union(tables: [data |> mean(column: "_value") |> set(key: "_field", value: "avg"),
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data |> min(column: "_value") |> set(key: "_field", value: "min"),
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data |> max(column: "_value") |> set(key: "_field", value: "max")])
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|> pivot(rowKey: ["hostname"], columnKey: ["_field"], valueColumn: "_value")
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|> group()`,
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idb.bucket,
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idb.formatTime(job.StartTime), idb.formatTime(idb.epochToTime(job.StartTimeUnix + int64(job.Duration) + int64(1) )),
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metric, hostsCond)
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rows, err := idb.queryClient.Query(ctx, query)
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if err != nil {
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return nil, err
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}
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nodes := map[string]schema.MetricStatistics{}
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for rows.Next() {
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row := rows.Record()
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host := row.ValueByKey("hostname").(string)
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avg, min, max := row.ValueByKey("avg").(float64),
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row.ValueByKey("min").(float64),
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row.ValueByKey("max").(float64)
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nodes[host] = schema.MetricStatistics{
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Avg: avg,
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Min: min,
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Max: max,
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}
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}
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stats[metric] = nodes
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}
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return stats, nil
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}
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func (idb *InfluxDBv2DataRepository) LoadNodeData(cluster, partition string, metrics, nodes []string, scopes []schema.MetricScope, from, to time.Time, ctx context.Context) (map[string]map[string][]*schema.JobMetric, error) {
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// TODO : Implement to be used in Analysis- und System/Node-View
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log.Println(fmt.Sprintf("LoadNodeData unimplemented for InfluxDBv2DataRepository, Args: cluster %s, partition %s, metrics %v, nodes %v, scopes %v", cluster, partition, metrics, nodes, scopes))
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return nil, errors.New("unimplemented for InfluxDBv2DataRepository")
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}
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