cc-backend/metricdata/influxdb-v2.go

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package metricdata
import (
"context"
"errors"
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"fmt"
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"log"
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"strings"
"time"
"crypto/tls"
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"github.com/ClusterCockpit/cc-backend/config"
"github.com/ClusterCockpit/cc-backend/schema"
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influxdb2 "github.com/influxdata/influxdb-client-go/v2"
influxdb2Api "github.com/influxdata/influxdb-client-go/v2/api"
)
type InfluxDBv2DataRepository struct {
client influxdb2.Client
queryClient influxdb2Api.QueryAPI
bucket, measurement string
}
func (idb *InfluxDBv2DataRepository) Init(url string, token string, renamings map[string]string) error {
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idb.client = influxdb2.NewClientWithOptions(url, token, influxdb2.DefaultOptions().SetTLSConfig(&tls.Config {InsecureSkipVerify: true,} ))
idb.queryClient = idb.client.QueryAPI("ClusterCockpit") // Influxdb Org here
idb.bucket = "ClusterCockpit/data" // New line protocoll: define for requested cluster(s) in loadData, e.g. fritz
idb.measurement = "data" // New line protocoll: define for each metric in loadData
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return nil
}
func (idb *InfluxDBv2DataRepository) formatTime(t time.Time) string { // TODO: Verwend lieber https://pkg.go.dev/time#Time.Format mit dem Format time.RFC3339
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return fmt.Sprintf("%d-%02d-%02dT%02d:%02d:%02dZ",
t.Year(), t.Month(), t.Day(), t.Hour(), t.Minute(), t.Second())
}
func (idb *InfluxDBv2DataRepository) epochToTime(epoch int64) time.Time {
return time.Unix(epoch, 0)
}
func (idb *InfluxDBv2DataRepository) LoadData(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.JobData, error) {
// DEBUG
// log.Println("<< Requested Metrics >> ")
// log.Println(metrics)
// log.Println("<< Requested Scope >> ")
// log.Println(scopes)
// influxHealth, healthErr := idb.client.Health(ctx)
// influxReady, rdyErr := idb.client.Ready(ctx)
// influxPing, pingErr := idb.client.Ping(ctx)
//
// log.Println("<< Influx Health Status >> ")
// if healthErr == nil { log.Println(fmt.Sprintf("{Commit:%s, Message:%s, Name:%s, Status:%s, Version:%s}", *influxHealth.Commit, *influxHealth.Message, influxHealth.Name, influxHealth.Status, *influxHealth.Version))
// } else { log.Println("Influx Health Error") }
// if rdyErr == nil { log.Println(fmt.Sprintf("{Started:%s, Status:%s, Up:%s}", *influxReady.Started, *influxReady.Status, *influxReady.Up))
// } else { log.Println("Influx Ready Error") }
// if pingErr == nil {
// log.Println("<< PING >>")
// log.Println(influxPing)
// } else { log.Println("Influx Ping Error") }
// END DEBUG
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fieldsConds := make([]string, 0, len(metrics))
for _, m := range metrics {
fieldsConds = append(fieldsConds, fmt.Sprintf(`r["_field"] == "%s"`, m))
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}
fieldsCond := strings.Join(fieldsConds, " or ")
hostsConds := make([]string, 0, len(job.Resources))
for _, h := range job.Resources {
if h.HWThreads != nil || h.Accelerators != nil {
// TODO/FIXME...
return nil, errors.New("the InfluxDB metric data repository does not support HWThreads or Accelerators")
}
hostsConds = append(hostsConds, fmt.Sprintf(`r["host"] == "%s"`, h.Hostname))
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}
hostsCond := strings.Join(hostsConds, " or ")
// log.Println("<< Start Time Formatted >>")
// log.Println(idb.formatTime(job.StartTime))
// log.Println("<< Stop Time Formatted >>")
// log.Println(idb.formatTime(idb.epochToTime(job.StartTimeUnix + int64(job.Duration) + int64(1) )))
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)
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rows, err := idb.queryClient.Query(ctx, query)
if err != nil {
log.Println("<< THE QUERY THREW AN ERROR >>")
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return nil, err
}
jobData := make(schema.JobData) // Empty Schema: map[<string>FIELD]map[<MetricScope>SCOPE]<*JobMetric>METRIC
scope := schema.MetricScope("node") // use scopes argument here?
// Build Basic JobData Structure based on requested metrics and 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: mc.Scope, // was "node" hardcode, fixme?
Timestep: mc.Timestep,
Series: make([]schema.Series, 0, len(job.Resources)), // One series per node / resource
StatisticsSeries: nil, // Should be: &schema.StatsSeries{},
},
}
}
// Set Initialized JobMetric for field
jobData[met] = jobMetric
// log.Println(fmt.Sprintf("<< BUILT jobData >> Unit: %s >> Scope: %s >> Timestep: %d", jobData[met][scope].Unit, jobData[met][scope].Scope, jobData[met][scope].Timestep))
}
// Fill Data Structure
field, host, hostSeries := "", "", schema.Series{}
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for rows.Next() {
row := rows.Record()
// Build new Series for initial run, new host, or new metric (tablechange)
if ( host == "" || host != row.ValueByKey("host").(string) || rows.TableChanged() ) {
if ( host != "" ) { // Not in initial loop
// log.Println(fmt.Sprintf("<< Save Series for : Field %s @ Host %s >>", field, host))
jobData[field][scope].Series = append(jobData[field][scope].Series, hostSeries) // add filled data to jobData **before resetting** for new field or new host
}
// (Re-)Set new Series
field, host = row.Field(), row.ValueByKey("host").(string)
hostSeries = schema.Series{
Hostname: host,
Statistics: nil,
Data: make([]schema.Float, 0),
}
// log.Println(fmt.Sprintf("<< New Series for : Field %s @ Host %s >>", field, host))
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}
val := row.Value().(float64)
hostSeries.Data = append(hostSeries.Data, schema.Float(val))
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}
// Append last state also
// log.Println(fmt.Sprintf("<< Save Final Series for : Field %s @ Host %s >>", field, host))
jobData[field][scope].Series = append(jobData[field][scope].Series, hostSeries)
stats, err := idb.LoadStats(job, metrics, ctx)
if err != nil {
log.Println("<< LOAD STATS THREW AN ERROR >>")
return nil, err
}
for metric, nodes := range stats {
// log.Println(fmt.Sprintf("<< Add Stats for : Field %s >>", metric))
for node, stats := range nodes {
// log.Println(fmt.Sprintf("<< Add Stats for : Host %s : Min %.2f, Max %.2f, Avg %.2f >>", node, stats.Min, stats.Max, stats.Avg ))
for index, _ := range jobData[metric][scope].Series {
// log.Println(fmt.Sprintf("<< Try to add Stats to Series in Position %d >>", index))
if jobData[metric][scope].Series[index].Hostname == node {
// log.Println(fmt.Sprintf("<< Match for Series in Position %d : Host %s >>", index, jobData[metric][scope].Series[index].Hostname))
jobData[metric][scope].Series[index].Statistics = &schema.MetricStatistics{Avg: stats.Avg, Min: stats.Min, Max: stats.Max}
// 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))
}
}
}
}
// // 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
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}
// Method with Pointer Receiver, pointer argument to other package, and combined Return
func (idb *InfluxDBv2DataRepository) 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 {
// TODO/FIXME...
return nil, errors.New("the 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 ")
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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)
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rows, err := idb.queryClient.Query(ctx, query)
if err != nil {
log.Println("<< THE QUERY for STATS THREW AN ERROR >>")
return nil, err
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}
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
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}
// log.Println("<< FINAL CLOCK STATS >>")
// log.Println(stats["clock"])
return stats, nil
}
// Method with Pointer Receiver and combined Return
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) {
// TODO : Implement to be used in Analysis- und System/Node-View
return nil, errors.New("unimplemented")
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}