Major refactor of metric data handling

- make the  internal memory store required and default
- Rename memorystore to metricstore
- Rename metricDataDispatcher to metricdispatch
- Remove metricdata package
- Introduce metricsync package for upstream metric data pull

CLAUDE.md

@@ -96,9 +96,9 @@ The backend follows a layered architecture with clear separation of concerns:
 - **internal/auth**: Authentication layer
   - Supports local accounts, LDAP, OIDC, and JWT tokens
   - Implements rate limiting for login attempts
-- **internal/metricdata**: Metric data repository abstraction
-  - Pluggable backends: cc-metric-store, Prometheus, InfluxDB
-  - Each cluster can have a different metric data backend
+- **internal/metricstore**: Metric store with data loading API
+  - In-memory metric storage with checkpointing
+  - Query API for loading job metric data
 - **internal/archiver**: Job archiving to file-based archive
 - **internal/api/nats.go**: NATS-based API for job and node operations
   - Subscribes to NATS subjects for job events (start/stop)
@@ -209,8 +209,8 @@ applied automatically on startup. Version tracking in `version` table.
 
 ### Adding a new metric data backend
 
-1. Implement `MetricDataRepository` interface in `internal/metricdata/`
-2. Register in `metricdata.Init()` switch statement
+1. Implement metric loading functions in `internal/metricstore/query.go`
+2. Add cluster configuration to metric store initialization
 3. Update config.json schema documentation
 
 ### Modifying database schema

README.md

@@ -163,11 +163,9 @@ ln -s <your-existing-job-archive> ./var/job-archive
     GraphQL schema and resolvers
   - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)
     Job data import and database initialization
-  - [`memorystore`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/memorystore)
-    In-memory metric data store with checkpointing
-  - [`metricdata`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdata)
-    Metric data repository implementations (cc-metric-store, Prometheus)
-  - [`metricDataDispatcher`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricDataDispatcher)
+  - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstore)
+    In-memory metric data store with checkpointing and metric loading
+  - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)
     Dispatches metric data loading to appropriate backends
   - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)
     Database repository layer for jobs and metadata

cmd/cc-backend/main.go

@@ -24,8 +24,7 @@ import (
 	"github.com/ClusterCockpit/cc-backend/internal/auth"
 	"github.com/ClusterCockpit/cc-backend/internal/config"
 	"github.com/ClusterCockpit/cc-backend/internal/importer"
-	"github.com/ClusterCockpit/cc-backend/internal/memorystore"
-	"github.com/ClusterCockpit/cc-backend/internal/metricdata"
+	"github.com/ClusterCockpit/cc-backend/internal/metricstore"
 	"github.com/ClusterCockpit/cc-backend/internal/repository"
 	"github.com/ClusterCockpit/cc-backend/internal/tagger"
 	"github.com/ClusterCockpit/cc-backend/internal/taskmanager"
@@ -283,10 +282,7 @@ func initSubsystems() error {
 		return fmt.Errorf("initializing archive: %w", err)
 	}
 
-	// Initialize metricdata
-	if err := metricdata.Init(); err != nil {
-		return fmt.Errorf("initializing metricdata repository: %w", err)
-	}
+	// Note: metricstore.Init() is called later in runServer() with proper configuration
 
 	// Handle database re-initialization
 	if flagReinitDB {
@@ -322,13 +318,12 @@ func initSubsystems() error {
 func runServer(ctx context.Context) error {
 	var wg sync.WaitGroup
 
-	// Start metric store if enabled
-	if memorystore.InternalCCMSFlag {
+	// Initialize metric store if configuration is provided
 	mscfg := ccconf.GetPackageConfig("metric-store")
-		if mscfg == nil {
-			return fmt.Errorf("metric store configuration must be present")
-		}
-		memorystore.Init(mscfg, &wg)
+	if mscfg != nil {
+		metricstore.Init(mscfg, &wg)
+	} else {
+		cclog.Debug("Metric store configuration not found, skipping metricstore initialization")
 	}
 
 	// Start archiver and task manager

cmd/cc-backend/server.go

@@ -29,7 +29,7 @@ import (
 	"github.com/ClusterCockpit/cc-backend/internal/config"
 	"github.com/ClusterCockpit/cc-backend/internal/graph"
 	"github.com/ClusterCockpit/cc-backend/internal/graph/generated"
-	"github.com/ClusterCockpit/cc-backend/internal/memorystore"
+	"github.com/ClusterCockpit/cc-backend/internal/metricstore"
 	"github.com/ClusterCockpit/cc-backend/internal/routerConfig"
 	"github.com/ClusterCockpit/cc-backend/pkg/nats"
 	"github.com/ClusterCockpit/cc-backend/web"
@@ -253,9 +253,7 @@ func (s *Server) init() error {
 		}
 	}
 
-	if memorystore.InternalCCMSFlag {
 	s.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)
-	}
 
 	if config.Keys.EmbedStaticFiles {
 		if i, err := os.Stat("./var/img"); err == nil {
@@ -383,9 +381,7 @@ func (s *Server) Shutdown(ctx context.Context) {
 	}
 
 	// Archive all the metric store data
-	if memorystore.InternalCCMSFlag {
-		memorystore.Shutdown()
-	}
+	metricstore.Shutdown()
 
 	// Shutdown archiver with 10 second timeout for fast shutdown
 	if err := archiver.Shutdown(10 * time.Second); err != nil {

internal/api/api_test.go

@@ -23,8 +23,8 @@ import (
 	"github.com/ClusterCockpit/cc-backend/internal/auth"
 	"github.com/ClusterCockpit/cc-backend/internal/config"
 	"github.com/ClusterCockpit/cc-backend/internal/graph"
-	"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
-	"github.com/ClusterCockpit/cc-backend/internal/metricdata"
+	"github.com/ClusterCockpit/cc-backend/internal/metricdispatch"
+	"github.com/ClusterCockpit/cc-backend/internal/metricstore"
 	"github.com/ClusterCockpit/cc-backend/internal/repository"
 	"github.com/ClusterCockpit/cc-backend/pkg/archive"
 	ccconf "github.com/ClusterCockpit/cc-lib/v2/ccConfig"
@@ -173,9 +173,7 @@ func setup(t *testing.T) *api.RestAPI {
 		t.Fatal(err)
 	}
 
-	if err := metricdata.Init(); err != nil {
-		t.Fatal(err)
-	}
+	// metricstore initialization removed - it's initialized via callback in tests
 
 	archiver.Start(repository.GetJobRepository(), context.Background())
 
@@ -221,7 +219,7 @@ func TestRestApi(t *testing.T) {
 		},
 	}
 
-	metricdata.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
+	metricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
 		return testData, nil
 	}
 
@@ -366,7 +364,7 @@ func TestRestApi(t *testing.T) {
 	}
 
 	t.Run("CheckArchive", func(t *testing.T) {
-		data, err := metricDataDispatcher.LoadData(stoppedJob, []string{"load_one"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background(), 60)
+		data, err := metricdispatch.LoadData(stoppedJob, []string{"load_one"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background(), 60)
 		if err != nil {
 			t.Fatal(err)
 		}

internal/api/job.go

@@ -22,7 +22,7 @@ import (
 	"github.com/ClusterCockpit/cc-backend/internal/graph"
 	"github.com/ClusterCockpit/cc-backend/internal/graph/model"
 	"github.com/ClusterCockpit/cc-backend/internal/importer"
-	"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
+	"github.com/ClusterCockpit/cc-backend/internal/metricdispatch"
 	"github.com/ClusterCockpit/cc-backend/internal/repository"
 	"github.com/ClusterCockpit/cc-backend/pkg/archive"
 	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
@@ -293,7 +293,7 @@ func (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request)
 	}
 
 	if r.URL.Query().Get("all-metrics") == "true" {
-		data, err = metricDataDispatcher.LoadData(job, nil, scopes, r.Context(), resolution)
+		data, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)
 		if err != nil {
 			cclog.Warnf("REST: error while loading all-metrics job data for JobID %d on %s", job.JobID, job.Cluster)
 			return
@@ -389,7 +389,7 @@ func (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {
 		resolution = max(resolution, mc.Timestep)
 	}
 
-	data, err := metricDataDispatcher.LoadData(job, metrics, scopes, r.Context(), resolution)
+	data, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)
 	if err != nil {
 		cclog.Warnf("REST: error while loading job data for JobID %d on %s", job.JobID, job.Cluster)
 		return

internal/api/metricstore.go

@@ -15,7 +15,7 @@ import (
 	"strconv"
 	"strings"
 
-	"github.com/ClusterCockpit/cc-backend/internal/memorystore"
+	"github.com/ClusterCockpit/cc-backend/internal/metricstore"
 	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
 
 	"github.com/influxdata/line-protocol/v2/lineprotocol"
@@ -58,7 +58,7 @@ func freeMetrics(rw http.ResponseWriter, r *http.Request) {
 		return
 	}
 
-	ms := memorystore.GetMemoryStore()
+	ms := metricstore.GetMemoryStore()
 	n := 0
 	for _, sel := range selectors {
 		bn, err := ms.Free(sel, to)
@@ -97,9 +97,9 @@ func writeMetrics(rw http.ResponseWriter, r *http.Request) {
 		return
 	}
 
-	ms := memorystore.GetMemoryStore()
+	ms := metricstore.GetMemoryStore()
 	dec := lineprotocol.NewDecoderWithBytes(bytes)
-	if err := memorystore.DecodeLine(dec, ms, r.URL.Query().Get("cluster")); err != nil {
+	if err := metricstore.DecodeLine(dec, ms, r.URL.Query().Get("cluster")); err != nil {
 		cclog.Errorf("/api/write error: %s", err.Error())
 		handleError(err, http.StatusBadRequest, rw)
 		return
@@ -129,7 +129,7 @@ func debugMetrics(rw http.ResponseWriter, r *http.Request) {
 		selector = strings.Split(raw, ":")
 	}
 
-	ms := memorystore.GetMemoryStore()
+	ms := metricstore.GetMemoryStore()
 	if err := ms.DebugDump(bufio.NewWriter(rw), selector); err != nil {
 		handleError(err, http.StatusBadRequest, rw)
 		return
@@ -162,7 +162,7 @@ func metricsHealth(rw http.ResponseWriter, r *http.Request) {
 
 	selector := []string{rawCluster, rawNode}
 
-	ms := memorystore.GetMemoryStore()
+	ms := metricstore.GetMemoryStore()
 	if err := ms.HealthCheck(bufio.NewWriter(rw), selector); err != nil {
 		handleError(err, http.StatusBadRequest, rw)
 		return

internal/api/nats_test.go

@@ -18,7 +18,8 @@ import (
 	"github.com/ClusterCockpit/cc-backend/internal/auth"
 	"github.com/ClusterCockpit/cc-backend/internal/config"
 	"github.com/ClusterCockpit/cc-backend/internal/graph"
-	"github.com/ClusterCockpit/cc-backend/internal/metricdata"
+	"github.com/ClusterCockpit/cc-backend/internal/importer"
+	"github.com/ClusterCockpit/cc-backend/internal/metricstore"
 	"github.com/ClusterCockpit/cc-backend/internal/repository"
 	"github.com/ClusterCockpit/cc-backend/pkg/archive"
 	ccconf "github.com/ClusterCockpit/cc-lib/v2/ccConfig"
@@ -167,9 +168,7 @@ func setupNatsTest(t *testing.T) *NatsAPI {
 		t.Fatal(err)
 	}
 
-	if err := metricdata.Init(); err != nil {
-		t.Fatal(err)
-	}
+	// metricstore initialization removed - it's initialized via callback in tests
 
 	archiver.Start(repository.GetJobRepository(), context.Background())
 
@@ -564,7 +563,7 @@ func TestNatsHandleStopJob(t *testing.T) {
 		},
 	}
 
-	metricdata.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
+	metricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
 		return testData, nil
 	}
 

internal/archiver/README.md

@@ -106,7 +106,7 @@ Data is archived at the highest available resolution (typically 60s intervals).
 
 ```go
 // In archiver.go ArchiveJob() function
-jobData, err := metricDataDispatcher.LoadData(job, allMetrics, scopes, ctx, 300)
+jobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 300)
 // 0 = highest resolution
 // 300 = 5-minute resolution
 ```
@@ -185,6 +185,6 @@ Internal state is protected by:
 ## Dependencies
 
 - `internal/repository`: Database operations for job metadata
-- `internal/metricDataDispatcher`: Loading metric data from various backends
+- `internal/metricdispatch`: Loading metric data from various backends
 - `pkg/archive`: Archive backend abstraction (filesystem, S3, SQLite)
 - `cc-lib/schema`: Job and metric data structures

internal/archiver/archiver.go

@@ -10,7 +10,7 @@ import (
 	"math"
 
 	"github.com/ClusterCockpit/cc-backend/internal/config"
-	"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
+	"github.com/ClusterCockpit/cc-backend/internal/metricdispatch"
 	"github.com/ClusterCockpit/cc-backend/pkg/archive"
 	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
 	"github.com/ClusterCockpit/cc-lib/v2/schema"
@@ -60,7 +60,7 @@ func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {
 		scopes = append(scopes, schema.MetricScopeAccelerator)
 	}
 
-	jobData, err := metricDataDispatcher.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)
+	jobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)
 	if err != nil {
 		cclog.Error("Error wile loading job data for archiving")
 		return nil, err

internal/graph/schema.resolvers.go

@@ -19,7 +19,7 @@ import (
 	"github.com/ClusterCockpit/cc-backend/internal/config"
 	"github.com/ClusterCockpit/cc-backend/internal/graph/generated"
 	"github.com/ClusterCockpit/cc-backend/internal/graph/model"
-	"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
+	"github.com/ClusterCockpit/cc-backend/internal/metricdispatch"
 	"github.com/ClusterCockpit/cc-backend/internal/repository"
 	"github.com/ClusterCockpit/cc-backend/pkg/archive"
 	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
@@ -484,7 +484,7 @@ func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []str
 		return nil, err
 	}
 
-	data, err := metricDataDispatcher.LoadData(job, metrics, scopes, ctx, *resolution)
+	data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)
 	if err != nil {
 		cclog.Warn("Error while loading job data")
 		return nil, err
@@ -512,7 +512,7 @@ func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []strin
 		return nil, err
 	}
 
-	data, err := metricDataDispatcher.LoadJobStats(job, metrics, ctx)
+	data, err := metricdispatch.LoadJobStats(job, metrics, ctx)
 	if err != nil {
 		cclog.Warnf("Error while loading jobStats data for job id %s", id)
 		return nil, err
@@ -537,7 +537,7 @@ func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics [
 		return nil, err
 	}
 
-	data, err := metricDataDispatcher.LoadScopedJobStats(job, metrics, scopes, ctx)
+	data, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)
 	if err != nil {
 		cclog.Warnf("Error while loading scopedJobStats data for job id %s", id)
 		return nil, err
@@ -702,7 +702,7 @@ func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.Job
 
 	res := []*model.JobStats{}
 	for _, job := range jobs {
-		data, err := metricDataDispatcher.LoadJobStats(job, metrics, ctx)
+		data, err := metricdispatch.LoadJobStats(job, metrics, ctx)
 		if err != nil {
 			cclog.Warnf("Error while loading comparison jobStats data for job id %d", job.JobID)
 			continue
@@ -759,7 +759,7 @@ func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes [
 		}
 	}
 
-	data, err := metricDataDispatcher.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
+	data, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
 	if err != nil {
 		cclog.Warn("error while loading node data")
 		return nil, err
@@ -825,7 +825,7 @@ func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, sub
 		}
 	}
 
-	data, err := metricDataDispatcher.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)
+	data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)
 	if err != nil {
 		cclog.Warn("error while loading node data (Resolver.NodeMetricsList")
 		return nil, err
@@ -880,7 +880,7 @@ func (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metr
 
 	// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow
 	scopes := []schema.MetricScope{"node"}
-	data, err := metricDataDispatcher.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)
+	data, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)
 	if err != nil {
 		cclog.Warn("error while loading node data")
 		return nil, err

internal/graph/util.go

@@ -13,7 +13,7 @@ import (
 
 	"github.com/99designs/gqlgen/graphql"
 	"github.com/ClusterCockpit/cc-backend/internal/graph/model"
-	"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
+	"github.com/ClusterCockpit/cc-backend/internal/metricdispatch"
 	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
 	"github.com/ClusterCockpit/cc-lib/v2/schema"
 )
@@ -55,7 +55,7 @@ func (r *queryResolver) rooflineHeatmap(
 		// 	resolution = max(resolution, mc.Timestep)
 		// }
 
-		jobdata, err := metricDataDispatcher.LoadData(job, []string{"flops_any", "mem_bw"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)
+		jobdata, err := metricdispatch.LoadData(job, []string{"flops_any", "mem_bw"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)
 		if err != nil {
 			cclog.Errorf("Error while loading roofline metrics for job %d", job.ID)
 			return nil, err
@@ -128,7 +128,7 @@ func (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobF
 			continue
 		}
 
-		if err := metricDataDispatcher.LoadAverages(job, metrics, avgs, ctx); err != nil {
+		if err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {
 			cclog.Error("Error while loading averages for footprint")
 			return nil, err
 		}

internal/metricDataDispatcher/dataLoader.go

@@ -1,381 +0,0 @@
-// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
-// All rights reserved. This file is part of cc-backend.
-// Use of this source code is governed by a MIT-style
-// license that can be found in the LICENSE file.
-package metricDataDispatcher
-
-import (
-	"context"
-	"fmt"
-	"math"
-	"time"
-
-	"github.com/ClusterCockpit/cc-backend/internal/config"
-	"github.com/ClusterCockpit/cc-backend/internal/metricdata"
-	"github.com/ClusterCockpit/cc-backend/pkg/archive"
-	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
-	"github.com/ClusterCockpit/cc-lib/v2/lrucache"
-	"github.com/ClusterCockpit/cc-lib/v2/resampler"
-	"github.com/ClusterCockpit/cc-lib/v2/schema"
-)
-
-var cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)
-
-func cacheKey(
-	job *schema.Job,
-	metrics []string,
-	scopes []schema.MetricScope,
-	resolution int,
-) string {
-	// Duration and StartTime do not need to be in the cache key as StartTime is less unique than
-	// job.ID and the TTL of the cache entry makes sure it does not stay there forever.
-	return fmt.Sprintf("%d(%s):[%v],[%v]-%d",
-		job.ID, job.State, metrics, scopes, resolution)
-}
-
-// Fetches the metric data for a job.
-func LoadData(job *schema.Job,
-	metrics []string,
-	scopes []schema.MetricScope,
-	ctx context.Context,
-	resolution int,
-) (schema.JobData, error) {
-	data := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {
-		var jd schema.JobData
-		var err error
-
-		if job.State == schema.JobStateRunning ||
-			job.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving ||
-			config.Keys.DisableArchive {
-
-			repo, err := metricdata.GetMetricDataRepo(job.Cluster)
-			if err != nil {
-				return fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", job.Cluster), 0, 0
-			}
-
-			if scopes == nil {
-				scopes = append(scopes, schema.MetricScopeNode)
-			}
-
-			if metrics == nil {
-				cluster := archive.GetCluster(job.Cluster)
-				for _, mc := range cluster.MetricConfig {
-					metrics = append(metrics, mc.Name)
-				}
-			}
-
-			jd, err = repo.LoadData(job, metrics, scopes, ctx, resolution)
-			if err != nil {
-				if len(jd) != 0 {
-					cclog.Warnf("partial error: %s", err.Error())
-					// return err, 0, 0 // Reactivating will block archiving on one partial error
-				} else {
-					cclog.Error("Error while loading job data from metric repository")
-					return err, 0, 0
-				}
-			}
-			size = jd.Size()
-		} else {
-			var jd_temp schema.JobData
-			jd_temp, err = archive.GetHandle().LoadJobData(job)
-			if err != nil {
-				cclog.Error("Error while loading job data from archive")
-				return err, 0, 0
-			}
-
-			// Deep copy the cached archive hashmap
-			jd = metricdata.DeepCopy(jd_temp)
-
-			// Resampling for archived data.
-			// Pass the resolution from frontend here.
-			for _, v := range jd {
-				for _, v_ := range v {
-					timestep := int64(0)
-					for i := 0; i < len(v_.Series); i += 1 {
-						v_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))
-						if err != nil {
-							return err, 0, 0
-						}
-					}
-					v_.Timestep = int(timestep)
-				}
-			}
-
-			// Avoid sending unrequested data to the client:
-			if metrics != nil || scopes != nil {
-				if metrics == nil {
-					metrics = make([]string, 0, len(jd))
-					for k := range jd {
-						metrics = append(metrics, k)
-					}
-				}
-
-				res := schema.JobData{}
-				for _, metric := range metrics {
-					if perscope, ok := jd[metric]; ok {
-						if len(perscope) > 1 {
-							subset := make(map[schema.MetricScope]*schema.JobMetric)
-							for _, scope := range scopes {
-								if jm, ok := perscope[scope]; ok {
-									subset[scope] = jm
-								}
-							}
-
-							if len(subset) > 0 {
-								perscope = subset
-							}
-						}
-
-						res[metric] = perscope
-					}
-				}
-				jd = res
-			}
-			size = jd.Size()
-		}
-
-		ttl = 5 * time.Hour
-		if job.State == schema.JobStateRunning {
-			ttl = 2 * time.Minute
-		}
-
-		// FIXME: Review: Is this really necessary or correct.
-		// Note: Lines 147-170 formerly known as prepareJobData(jobData, scopes)
-		// For /monitoring/job/<job> and some other places, flops_any and mem_bw need
-		// to be available at the scope 'node'. If a job has a lot of nodes,
-		// statisticsSeries should be available so that a min/median/max Graph can be
-		// used instead of a lot of single lines.
-		// NOTE: New StatsSeries will always be calculated as 'min/median/max'
-		//       Existing (archived) StatsSeries can be 'min/mean/max'!
-		const maxSeriesSize int = 15
-		for _, scopes := range jd {
-			for _, jm := range scopes {
-				if jm.StatisticsSeries != nil || len(jm.Series) <= maxSeriesSize {
-					continue
-				}
-
-				jm.AddStatisticsSeries()
-			}
-		}
-
-		nodeScopeRequested := false
-		for _, scope := range scopes {
-			if scope == schema.MetricScopeNode {
-				nodeScopeRequested = true
-			}
-		}
-
-		if nodeScopeRequested {
-			jd.AddNodeScope("flops_any")
-			jd.AddNodeScope("mem_bw")
-		}
-
-		// Round Resulting Stat Values
-		jd.RoundMetricStats()
-
-		return jd, ttl, size
-	})
-
-	if err, ok := data.(error); ok {
-		cclog.Error("Error in returned dataset")
-		return nil, err
-	}
-
-	return data.(schema.JobData), nil
-}
-
-// Used for the jobsFootprint GraphQL-Query. TODO: Rename/Generalize.
-func LoadAverages(
-	job *schema.Job,
-	metrics []string,
-	data [][]schema.Float,
-	ctx context.Context,
-) error {
-	if job.State != schema.JobStateRunning && !config.Keys.DisableArchive {
-		return archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?
-	}
-
-	repo, err := metricdata.GetMetricDataRepo(job.Cluster)
-	if err != nil {
-		return fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", job.Cluster)
-	}
-
-	stats, err := repo.LoadStats(job, metrics, ctx) // #166 how to handle stats for acc normalizazion?
-	if err != nil {
-		cclog.Errorf("Error while loading statistics for job %v (User %v, Project %v)", job.JobID, job.User, job.Project)
-		return err
-	}
-
-	for i, m := range metrics {
-		nodes, ok := stats[m]
-		if !ok {
-			data[i] = append(data[i], schema.NaN)
-			continue
-		}
-
-		sum := 0.0
-		for _, node := range nodes {
-			sum += node.Avg
-		}
-		data[i] = append(data[i], schema.Float(sum))
-	}
-
-	return nil
-}
-
-// Used for statsTable in frontend: Return scoped statistics by metric.
-func LoadScopedJobStats(
-	job *schema.Job,
-	metrics []string,
-	scopes []schema.MetricScope,
-	ctx context.Context,
-) (schema.ScopedJobStats, error) {
-	if job.State != schema.JobStateRunning && !config.Keys.DisableArchive {
-		return archive.LoadScopedStatsFromArchive(job, metrics, scopes)
-	}
-
-	repo, err := metricdata.GetMetricDataRepo(job.Cluster)
-	if err != nil {
-		return nil, fmt.Errorf("job %d: no metric data repository configured for '%s'", job.JobID, job.Cluster)
-	}
-
-	scopedStats, err := repo.LoadScopedStats(job, metrics, scopes, ctx)
-	if err != nil {
-		cclog.Errorf("error while loading scoped statistics for job %d (User %s, Project %s)", job.JobID, job.User, job.Project)
-		return nil, err
-	}
-
-	return scopedStats, nil
-}
-
-// Used for polar plots in frontend: Aggregates statistics for all nodes to single values for job per metric.
-func LoadJobStats(
-	job *schema.Job,
-	metrics []string,
-	ctx context.Context,
-) (map[string]schema.MetricStatistics, error) {
-	if job.State != schema.JobStateRunning && !config.Keys.DisableArchive {
-		return archive.LoadStatsFromArchive(job, metrics)
-	}
-
-	data := make(map[string]schema.MetricStatistics, len(metrics))
-	repo, err := metricdata.GetMetricDataRepo(job.Cluster)
-	if err != nil {
-		return data, fmt.Errorf("job %d: no metric data repository configured for '%s'", job.JobID, job.Cluster)
-	}
-
-	stats, err := repo.LoadStats(job, metrics, ctx)
-	if err != nil {
-		cclog.Errorf("error while loading statistics for job %d (User %s, Project %s)", job.JobID, job.User, job.Project)
-		return data, err
-	}
-
-	for _, m := range metrics {
-		sum, avg, min, max := 0.0, 0.0, 0.0, 0.0
-		nodes, ok := stats[m]
-		if !ok {
-			data[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}
-			continue
-		}
-
-		for _, node := range nodes {
-			sum += node.Avg
-			min = math.Min(min, node.Min)
-			max = math.Max(max, node.Max)
-		}
-
-		data[m] = schema.MetricStatistics{
-			Avg: (math.Round((sum/float64(job.NumNodes))*100) / 100),
-			Min: (math.Round(min*100) / 100),
-			Max: (math.Round(max*100) / 100),
-		}
-	}
-
-	return data, nil
-}
-
-// Used for the classic node/system view. Returns a map of nodes to a map of metrics.
-func LoadNodeData(
-	cluster string,
-	metrics, nodes []string,
-	scopes []schema.MetricScope,
-	from, to time.Time,
-	ctx context.Context,
-) (map[string]map[string][]*schema.JobMetric, error) {
-	repo, err := metricdata.GetMetricDataRepo(cluster)
-	if err != nil {
-		return nil, fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", cluster)
-	}
-
-	if metrics == nil {
-		for _, m := range archive.GetCluster(cluster).MetricConfig {
-			metrics = append(metrics, m.Name)
-		}
-	}
-
-	data, err := repo.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
-	if err != nil {
-		if len(data) != 0 {
-			cclog.Warnf("partial error: %s", err.Error())
-		} else {
-			cclog.Error("Error while loading node data from metric repository")
-			return nil, err
-		}
-	}
-
-	if data == nil {
-		return nil, fmt.Errorf("METRICDATA/METRICDATA > the metric data repository for '%s' does not support this query", cluster)
-	}
-
-	return data, nil
-}
-
-func LoadNodeListData(
-	cluster, subCluster string,
-	nodes []string,
-	metrics []string,
-	scopes []schema.MetricScope,
-	resolution int,
-	from, to time.Time,
-	ctx context.Context,
-) (map[string]schema.JobData, error) {
-	repo, err := metricdata.GetMetricDataRepo(cluster)
-	if err != nil {
-		return nil, fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", cluster)
-	}
-
-	if metrics == nil {
-		for _, m := range archive.GetCluster(cluster).MetricConfig {
-			metrics = append(metrics, m.Name)
-		}
-	}
-
-	data, err := repo.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)
-	if err != nil {
-		if len(data) != 0 {
-			cclog.Warnf("partial error: %s", err.Error())
-		} else {
-			cclog.Error("Error while loading node data from metric repository")
-			return nil, err
-		}
-	}
-
-	// NOTE: New StatsSeries will always be calculated as 'min/median/max'
-	const maxSeriesSize int = 8
-	for _, jd := range data {
-		for _, scopes := range jd {
-			for _, jm := range scopes {
-				if jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {
-					continue
-				}
-				jm.AddStatisticsSeries()
-			}
-		}
-	}
-
-	if data == nil {
-		return nil, fmt.Errorf("METRICDATA/METRICDATA > the metric data repository for '%s' does not support this query", cluster)
-	}
-
-	return data, nil
-}

internal/metricdata/metricdata.go

@@ -1,88 +0,0 @@
-// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
-// All rights reserved. This file is part of cc-backend.
-// 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"
-	"fmt"
-	"time"
-
-	"github.com/ClusterCockpit/cc-backend/internal/config"
-	"github.com/ClusterCockpit/cc-backend/internal/memorystore"
-	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
-	"github.com/ClusterCockpit/cc-lib/v2/schema"
-)
-
-type MetricDataRepository interface {
-	// Initialize this MetricDataRepository. One instance of
-	// this interface will only ever be responsible for one cluster.
-	Init(rawConfig json.RawMessage) error
-
-	// Return the JobData for the given job, only with the requested metrics.
-	LoadData(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error)
-
-	// Return a map of metrics to a map of nodes to the metric statistics of the job. node scope only.
-	LoadStats(job *schema.Job, metrics []string, ctx context.Context) (map[string]map[string]schema.MetricStatistics, error)
-
-	// Return a map of metrics to a map of scopes to the scoped metric statistics of the job.
-	LoadScopedStats(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.ScopedJobStats, error)
-
-	// Return a map of hosts to a map of metrics at the requested scopes (currently only node) for that node.
-	LoadNodeData(cluster string, metrics, nodes []string, scopes []schema.MetricScope, from, to time.Time, ctx context.Context) (map[string]map[string][]*schema.JobMetric, error)
-
-	// Return a map of hosts to a map of metrics to a map of scopes for multiple nodes.
-	LoadNodeListData(cluster, subCluster string, nodes, metrics []string, scopes []schema.MetricScope, resolution int, from, to time.Time, ctx context.Context) (map[string]schema.JobData, error)
-}
-
-var metricDataRepos map[string]MetricDataRepository = map[string]MetricDataRepository{}
-
-func Init() error {
-	for _, cluster := range config.Clusters {
-		if cluster.MetricDataRepository != nil {
-			var kind struct {
-				Kind string `json:"kind"`
-			}
-			if err := json.Unmarshal(cluster.MetricDataRepository, &kind); err != nil {
-				cclog.Warn("Error while unmarshaling raw json MetricDataRepository")
-				return err
-			}
-
-			var mdr MetricDataRepository
-			switch kind.Kind {
-			case "cc-metric-store":
-				mdr = &CCMetricStore{}
-			case "cc-metric-store-internal":
-				mdr = &CCMetricStoreInternal{}
-				memorystore.InternalCCMSFlag = true
-			case "prometheus":
-				mdr = &PrometheusDataRepository{}
-			case "test":
-				mdr = &TestMetricDataRepository{}
-			default:
-				return fmt.Errorf("METRICDATA/METRICDATA > Unknown MetricDataRepository %v for cluster %v", kind.Kind, cluster.Name)
-			}
-
-			if err := mdr.Init(cluster.MetricDataRepository); err != nil {
-				cclog.Errorf("Error initializing MetricDataRepository %v for cluster %v", kind.Kind, cluster.Name)
-				return err
-			}
-			metricDataRepos[cluster.Name] = mdr
-		}
-	}
-	return nil
-}
-
-func GetMetricDataRepo(cluster string) (MetricDataRepository, error) {
-	var err error
-	repo, ok := metricDataRepos[cluster]
-
-	if !ok {
-		err = fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", cluster)
-	}
-
-	return repo, err
-}

internal/metricdata/prometheus.go

@@ -1,587 +0,0 @@
-// Copyright (C) 2022 DKRZ
-// All rights reserved. This file is part of cc-backend.
-// Use of this source code is governed by a MIT-style
-// license that can be found in the LICENSE file.
-package metricdata
-
-import (
-	"bytes"
-	"context"
-	"encoding/json"
-	"errors"
-	"fmt"
-	"math"
-	"net/http"
-	"os"
-	"regexp"
-	"sort"
-	"strings"
-	"sync"
-	"text/template"
-	"time"
-
-	"github.com/ClusterCockpit/cc-backend/pkg/archive"
-	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
-	"github.com/ClusterCockpit/cc-lib/v2/schema"
-	promapi "github.com/prometheus/client_golang/api"
-	promv1 "github.com/prometheus/client_golang/api/prometheus/v1"
-	promcfg "github.com/prometheus/common/config"
-	promm "github.com/prometheus/common/model"
-)
-
-type PrometheusDataRepositoryConfig struct {
-	Url       string            `json:"url"`
-	Username  string            `json:"username,omitempty"`
-	Suffix    string            `json:"suffix,omitempty"`
-	Templates map[string]string `json:"query-templates"`
-}
-
-type PrometheusDataRepository struct {
-	client      promapi.Client
-	queryClient promv1.API
-	suffix      string
-	templates   map[string]*template.Template
-}
-
-type PromQLArgs struct {
-	Nodes string
-}
-
-type Trie map[rune]Trie
-
-var logOnce sync.Once
-
-func contains(s []schema.MetricScope, str schema.MetricScope) bool {
-	for _, v := range s {
-		if v == str {
-			return true
-		}
-	}
-	return false
-}
-
-func MinMaxMean(data []schema.Float) (float64, float64, float64) {
-	if len(data) == 0 {
-		return 0.0, 0.0, 0.0
-	}
-	min := math.MaxFloat64
-	max := -math.MaxFloat64
-	var sum float64
-	var n float64
-	for _, val := range data {
-		if val.IsNaN() {
-			continue
-		}
-		sum += float64(val)
-		n += 1
-		if float64(val) > max {
-			max = float64(val)
-		}
-		if float64(val) < min {
-			min = float64(val)
-		}
-	}
-	return min, max, sum / n
-}
-
-// Rewritten from
-// https://github.com/ermanh/trieregex/blob/master/trieregex/trieregex.py
-func nodeRegex(nodes []string) string {
-	root := Trie{}
-	// add runes of each compute node to trie
-	for _, node := range nodes {
-		_trie := root
-		for _, c := range node {
-			if _, ok := _trie[c]; !ok {
-				_trie[c] = Trie{}
-			}
-			_trie = _trie[c]
-		}
-		_trie['*'] = Trie{}
-	}
-	// recursively build regex from rune trie
-	var trieRegex func(trie Trie, reset bool) string
-	trieRegex = func(trie Trie, reset bool) string {
-		if reset == true {
-			trie = root
-		}
-		if len(trie) == 0 {
-			return ""
-		}
-		if len(trie) == 1 {
-			for key, _trie := range trie {
-				if key == '*' {
-					return ""
-				}
-				return regexp.QuoteMeta(string(key)) + trieRegex(_trie, false)
-			}
-		} else {
-			sequences := []string{}
-			for key, _trie := range trie {
-				if key != '*' {
-					sequences = append(sequences, regexp.QuoteMeta(string(key))+trieRegex(_trie, false))
-				}
-			}
-			sort.Slice(sequences, func(i, j int) bool {
-				return (-len(sequences[i]) < -len(sequences[j])) || (sequences[i] < sequences[j])
-			})
-			var result string
-			// single edge from this tree node
-			if len(sequences) == 1 {
-				result = sequences[0]
-				if len(result) > 1 {
-					result = "(?:" + result + ")"
-				}
-				// multiple edges, each length 1
-			} else if s := strings.Join(sequences, ""); len(s) == len(sequences) {
-				// char or numeric range
-				if len(s)-1 == int(s[len(s)-1])-int(s[0]) {
-					result = fmt.Sprintf("[%c-%c]", s[0], s[len(s)-1])
-					// char or numeric set
-				} else {
-					result = "[" + s + "]"
-				}
-				// multiple edges of different lengths
-			} else {
-				result = "(?:" + strings.Join(sequences, "|") + ")"
-			}
-			if _, ok := trie['*']; ok {
-				result += "?"
-			}
-			return result
-		}
-		return ""
-	}
-	return trieRegex(root, true)
-}
-
-func (pdb *PrometheusDataRepository) Init(rawConfig json.RawMessage) error {
-	var config PrometheusDataRepositoryConfig
-	// parse config
-	if err := json.Unmarshal(rawConfig, &config); err != nil {
-		cclog.Warn("Error while unmarshaling raw json config")
-		return err
-	}
-	// support basic authentication
-	var rt http.RoundTripper = nil
-	if prom_pw := os.Getenv("PROMETHEUS_PASSWORD"); prom_pw != "" && config.Username != "" {
-		prom_pw := promcfg.Secret(prom_pw)
-		rt = promcfg.NewBasicAuthRoundTripper(promcfg.NewInlineSecret(config.Username), promcfg.NewInlineSecret(string(prom_pw)), promapi.DefaultRoundTripper)
-	} else {
-		if config.Username != "" {
-			return errors.New("METRICDATA/PROMETHEUS > Prometheus username provided, but PROMETHEUS_PASSWORD not set")
-		}
-	}
-	// init client
-	client, err := promapi.NewClient(promapi.Config{
-		Address:      config.Url,
-		RoundTripper: rt,
-	})
-	if err != nil {
-		cclog.Error("Error while initializing new prometheus client")
-		return err
-	}
-	// init query client
-	pdb.client = client
-	pdb.queryClient = promv1.NewAPI(pdb.client)
-	// site config
-	pdb.suffix = config.Suffix
-	// init query templates
-	pdb.templates = make(map[string]*template.Template)
-	for metric, templ := range config.Templates {
-		pdb.templates[metric], err = template.New(metric).Parse(templ)
-		if err == nil {
-			cclog.Debugf("Added PromQL template for %s: %s", metric, templ)
-		} else {
-			cclog.Warnf("Failed to parse PromQL template %s for metric %s", templ, metric)
-		}
-	}
-	return nil
-}
-
-// TODO: respect scope argument
-func (pdb *PrometheusDataRepository) FormatQuery(
-	metric string,
-	scope schema.MetricScope,
-	nodes []string,
-	cluster string,
-) (string, error) {
-	args := PromQLArgs{}
-	if len(nodes) > 0 {
-		args.Nodes = fmt.Sprintf("(%s)%s", nodeRegex(nodes), pdb.suffix)
-	} else {
-		args.Nodes = fmt.Sprintf(".*%s", pdb.suffix)
-	}
-
-	buf := &bytes.Buffer{}
-	if templ, ok := pdb.templates[metric]; ok {
-		err := templ.Execute(buf, args)
-		if err != nil {
-			return "", errors.New(fmt.Sprintf("METRICDATA/PROMETHEUS > Error compiling template %v", templ))
-		} else {
-			query := buf.String()
-			cclog.Debugf("PromQL: %s", query)
-			return query, nil
-		}
-	} else {
-		return "", errors.New(fmt.Sprintf("METRICDATA/PROMETHEUS > No PromQL for metric %s configured.", metric))
-	}
-}
-
-// Convert PromAPI row to CC schema.Series
-func (pdb *PrometheusDataRepository) RowToSeries(
-	from time.Time,
-	step int64,
-	steps int64,
-	row *promm.SampleStream,
-) schema.Series {
-	ts := from.Unix()
-	hostname := strings.TrimSuffix(string(row.Metric["exported_instance"]), pdb.suffix)
-	// init array of expected length with NaN
-	values := make([]schema.Float, steps+1)
-	for i := range values {
-		values[i] = schema.NaN
-	}
-	// copy recorded values from prom sample pair
-	for _, v := range row.Values {
-		idx := (v.Timestamp.Unix() - ts) / step
-		values[idx] = schema.Float(v.Value)
-	}
-	min, max, mean := MinMaxMean(values)
-	// output struct
-	return schema.Series{
-		Hostname: hostname,
-		Data:     values,
-		Statistics: schema.MetricStatistics{
-			Avg: mean,
-			Min: min,
-			Max: max,
-		},
-	}
-}
-
-func (pdb *PrometheusDataRepository) LoadData(
-	job *schema.Job,
-	metrics []string,
-	scopes []schema.MetricScope,
-	ctx context.Context,
-	resolution int,
-) (schema.JobData, error) {
-	// TODO respect requested scope
-	if len(scopes) == 0 || !contains(scopes, schema.MetricScopeNode) {
-		scopes = append(scopes, schema.MetricScopeNode)
-	}
-
-	jobData := make(schema.JobData)
-	// parse job specs
-	nodes := make([]string, len(job.Resources))
-	for i, resource := range job.Resources {
-		nodes[i] = resource.Hostname
-	}
-	from := time.Unix(job.StartTime, 0)
-	to := time.Unix(job.StartTime+int64(job.Duration), 0)
-
-	for _, scope := range scopes {
-		if scope != schema.MetricScopeNode {
-			logOnce.Do(func() {
-				cclog.Infof("Scope '%s' requested, but not yet supported: Will return 'node' scope only.", scope)
-			})
-			continue
-		}
-
-		for _, metric := range metrics {
-			metricConfig := archive.GetMetricConfig(job.Cluster, metric)
-			if metricConfig == nil {
-				cclog.Warnf("Error in LoadData: Metric %s for cluster %s not configured", metric, job.Cluster)
-				return nil, errors.New("Prometheus config error")
-			}
-			query, err := pdb.FormatQuery(metric, scope, nodes, job.Cluster)
-			if err != nil {
-				cclog.Warn("Error while formatting prometheus query")
-				return nil, err
-			}
-
-			// ranged query over all job nodes
-			r := promv1.Range{
-				Start: from,
-				End:   to,
-				Step:  time.Duration(metricConfig.Timestep * 1e9),
-			}
-			result, warnings, err := pdb.queryClient.QueryRange(ctx, query, r)
-			if err != nil {
-				cclog.Errorf("Prometheus query error in LoadData: %v\nQuery: %s", err, query)
-				return nil, errors.New("Prometheus query error")
-			}
-			if len(warnings) > 0 {
-				cclog.Warnf("Warnings: %v\n", warnings)
-			}
-
-			// init data structures
-			if _, ok := jobData[metric]; !ok {
-				jobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)
-			}
-			jobMetric, ok := jobData[metric][scope]
-			if !ok {
-				jobMetric = &schema.JobMetric{
-					Unit:     metricConfig.Unit,
-					Timestep: metricConfig.Timestep,
-					Series:   make([]schema.Series, 0),
-				}
-			}
-			step := int64(metricConfig.Timestep)
-			steps := int64(to.Sub(from).Seconds()) / step
-			// iter rows of host, metric, values
-			for _, row := range result.(promm.Matrix) {
-				jobMetric.Series = append(jobMetric.Series,
-					pdb.RowToSeries(from, step, steps, row))
-			}
-			// only add metric if at least one host returned data
-			if !ok && len(jobMetric.Series) > 0 {
-				jobData[metric][scope] = jobMetric
-			}
-			// sort by hostname to get uniform coloring
-			sort.Slice(jobMetric.Series, func(i, j int) bool {
-				return (jobMetric.Series[i].Hostname < jobMetric.Series[j].Hostname)
-			})
-		}
-	}
-	return jobData, nil
-}
-
-// TODO change implementation to precomputed/cached stats
-func (pdb *PrometheusDataRepository) LoadStats(
-	job *schema.Job,
-	metrics []string,
-	ctx context.Context,
-) (map[string]map[string]schema.MetricStatistics, error) {
-	// map of metrics of nodes of stats
-	stats := map[string]map[string]schema.MetricStatistics{}
-
-	data, err := pdb.LoadData(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0 /*resolution here*/)
-	if err != nil {
-		cclog.Warn("Error while loading job for stats")
-		return nil, err
-	}
-	for metric, metricData := range data {
-		stats[metric] = make(map[string]schema.MetricStatistics)
-		for _, series := range metricData[schema.MetricScopeNode].Series {
-			stats[metric][series.Hostname] = series.Statistics
-		}
-	}
-
-	return stats, nil
-}
-
-func (pdb *PrometheusDataRepository) LoadNodeData(
-	cluster string,
-	metrics, nodes []string,
-	scopes []schema.MetricScope,
-	from, to time.Time,
-	ctx context.Context,
-) (map[string]map[string][]*schema.JobMetric, error) {
-	t0 := time.Now()
-	// Map of hosts of metrics of value slices
-	data := make(map[string]map[string][]*schema.JobMetric)
-	// query db for each metric
-	// TODO: scopes seems to be always empty
-	if len(scopes) == 0 || !contains(scopes, schema.MetricScopeNode) {
-		scopes = append(scopes, schema.MetricScopeNode)
-	}
-	for _, scope := range scopes {
-		if scope != schema.MetricScopeNode {
-			logOnce.Do(func() {
-				cclog.Infof("Note: Scope '%s' requested, but not yet supported: Will return 'node' scope only.", scope)
-			})
-			continue
-		}
-		for _, metric := range metrics {
-			metricConfig := archive.GetMetricConfig(cluster, metric)
-			if metricConfig == nil {
-				cclog.Warnf("Error in LoadNodeData: Metric %s for cluster %s not configured", metric, cluster)
-				return nil, errors.New("Prometheus config error")
-			}
-			query, err := pdb.FormatQuery(metric, scope, nodes, cluster)
-			if err != nil {
-				cclog.Warn("Error while formatting prometheus query")
-				return nil, err
-			}
-
-			// ranged query over all nodes
-			r := promv1.Range{
-				Start: from,
-				End:   to,
-				Step:  time.Duration(metricConfig.Timestep * 1e9),
-			}
-			result, warnings, err := pdb.queryClient.QueryRange(ctx, query, r)
-			if err != nil {
-				cclog.Errorf("Prometheus query error in LoadNodeData: %v\n", err)
-				return nil, errors.New("Prometheus query error")
-			}
-			if len(warnings) > 0 {
-				cclog.Warnf("Warnings: %v\n", warnings)
-			}
-
-			step := int64(metricConfig.Timestep)
-			steps := int64(to.Sub(from).Seconds()) / step
-
-			// iter rows of host, metric, values
-			for _, row := range result.(promm.Matrix) {
-				hostname := strings.TrimSuffix(string(row.Metric["exported_instance"]), pdb.suffix)
-				hostdata, ok := data[hostname]
-				if !ok {
-					hostdata = make(map[string][]*schema.JobMetric)
-					data[hostname] = hostdata
-				}
-				// output per host and metric
-				hostdata[metric] = append(hostdata[metric], &schema.JobMetric{
-					Unit:     metricConfig.Unit,
-					Timestep: metricConfig.Timestep,
-					Series:   []schema.Series{pdb.RowToSeries(from, step, steps, row)},
-				},
-				)
-			}
-		}
-	}
-	t1 := time.Since(t0)
-	cclog.Debugf("LoadNodeData of %v nodes took %s", len(data), t1)
-	return data, nil
-}
-
-// Implemented by NHR@FAU; Used in Job-View StatsTable
-func (pdb *PrometheusDataRepository) LoadScopedStats(
-	job *schema.Job,
-	metrics []string,
-	scopes []schema.MetricScope,
-	ctx context.Context,
-) (schema.ScopedJobStats, error) {
-	// Assumption: pdb.loadData() only returns series node-scope - use node scope for statsTable
-	scopedJobStats := make(schema.ScopedJobStats)
-	data, err := pdb.LoadData(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0 /*resolution here*/)
-	if err != nil {
-		cclog.Warn("Error while loading job for scopedJobStats")
-		return nil, err
-	}
-
-	for metric, metricData := range data {
-		for _, scope := range scopes {
-			if scope != schema.MetricScopeNode {
-				logOnce.Do(func() {
-					cclog.Infof("Note: Scope '%s' requested, but not yet supported: Will return 'node' scope only.", scope)
-				})
-				continue
-			}
-
-			if _, ok := scopedJobStats[metric]; !ok {
-				scopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)
-			}
-
-			if _, ok := scopedJobStats[metric][scope]; !ok {
-				scopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)
-			}
-
-			for _, series := range metricData[scope].Series {
-				scopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{
-					Hostname: series.Hostname,
-					Data:     &series.Statistics,
-				})
-			}
-		}
-	}
-
-	return scopedJobStats, nil
-}
-
-// Implemented by NHR@FAU; Used in NodeList-View
-func (pdb *PrometheusDataRepository) LoadNodeListData(
-	cluster, subCluster string,
-	nodes []string,
-	metrics []string,
-	scopes []schema.MetricScope,
-	resolution int,
-	from, to time.Time,
-	ctx context.Context,
-) (map[string]schema.JobData, error) {
-	// Assumption: pdb.loadData() only returns series node-scope - use node scope for NodeList
-
-	// Fetch Data, based on pdb.LoadNodeData()
-	t0 := time.Now()
-	// Map of hosts of jobData
-	data := make(map[string]schema.JobData)
-
-	// query db for each metric
-	// TODO: scopes seems to be always empty
-	if len(scopes) == 0 || !contains(scopes, schema.MetricScopeNode) {
-		scopes = append(scopes, schema.MetricScopeNode)
-	}
-
-	for _, scope := range scopes {
-		if scope != schema.MetricScopeNode {
-			logOnce.Do(func() {
-				cclog.Infof("Note: Scope '%s' requested, but not yet supported: Will return 'node' scope only.", scope)
-			})
-			continue
-		}
-
-		for _, metric := range metrics {
-			metricConfig := archive.GetMetricConfig(cluster, metric)
-			if metricConfig == nil {
-				cclog.Warnf("Error in LoadNodeListData: Metric %s for cluster %s not configured", metric, cluster)
-				return nil, errors.New("Prometheus config error")
-			}
-			query, err := pdb.FormatQuery(metric, scope, nodes, cluster)
-			if err != nil {
-				cclog.Warn("Error while formatting prometheus query")
-				return nil, err
-			}
-
-			// ranged query over all nodes
-			r := promv1.Range{
-				Start: from,
-				End:   to,
-				Step:  time.Duration(metricConfig.Timestep * 1e9),
-			}
-			result, warnings, err := pdb.queryClient.QueryRange(ctx, query, r)
-			if err != nil {
-				cclog.Errorf("Prometheus query error in LoadNodeData: %v\n", err)
-				return nil, errors.New("Prometheus query error")
-			}
-			if len(warnings) > 0 {
-				cclog.Warnf("Warnings: %v\n", warnings)
-			}
-
-			step := int64(metricConfig.Timestep)
-			steps := int64(to.Sub(from).Seconds()) / step
-
-			// iter rows of host, metric, values
-			for _, row := range result.(promm.Matrix) {
-				hostname := strings.TrimSuffix(string(row.Metric["exported_instance"]), pdb.suffix)
-
-				hostdata, ok := data[hostname]
-				if !ok {
-					hostdata = make(schema.JobData)
-					data[hostname] = hostdata
-				}
-
-				metricdata, ok := hostdata[metric]
-				if !ok {
-					metricdata = make(map[schema.MetricScope]*schema.JobMetric)
-					data[hostname][metric] = metricdata
-				}
-
-				// output per host, metric and scope
-				scopeData, ok := metricdata[scope]
-				if !ok {
-					scopeData = &schema.JobMetric{
-						Unit:     metricConfig.Unit,
-						Timestep: metricConfig.Timestep,
-						Series:   []schema.Series{pdb.RowToSeries(from, step, steps, row)},
-					}
-					data[hostname][metric][scope] = scopeData
-				}
-			}
-		}
-	}
-	t1 := time.Since(t0)
-	cclog.Debugf("LoadNodeListData of %v nodes took %s", len(data), t1)
-	return data, nil
-}

internal/metricdata/utils.go

@@ -1,118 +0,0 @@
-// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
-// All rights reserved. This file is part of cc-backend.
-// 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-lib/v2/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")
-}
-
-// TestMetricDataRepository is 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) LoadScopedStats(
-	job *schema.Job,
-	metrics []string,
-	scopes []schema.MetricScope,
-	ctx context.Context,
-) (schema.ScopedJobStats, 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 (tmdr *TestMetricDataRepository) LoadNodeListData(
-	cluster, subCluster string,
-	nodes []string,
-	metrics []string,
-	scopes []schema.MetricScope,
-	resolution int,
-	from, to time.Time,
-	ctx context.Context,
-) (map[string]schema.JobData, error) {
-	panic("TODO")
-}
-
-func DeepCopy(jdTemp schema.JobData) schema.JobData {
-	jd := make(schema.JobData, len(jdTemp))
-	for k, v := range jdTemp {
-		jd[k] = make(map[schema.MetricScope]*schema.JobMetric, len(jdTemp[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 {
-				// Init Slices
-				jd[k][k_].StatisticsSeries = new(schema.StatsSeries)
-				jd[k][k_].StatisticsSeries.Max = make([]schema.Float, len(v_.StatisticsSeries.Max))
-				jd[k][k_].StatisticsSeries.Min = make([]schema.Float, len(v_.StatisticsSeries.Min))
-				jd[k][k_].StatisticsSeries.Median = make([]schema.Float, len(v_.StatisticsSeries.Median))
-				jd[k][k_].StatisticsSeries.Mean = make([]schema.Float, len(v_.StatisticsSeries.Mean))
-				// Copy Data
-				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)
-				// Handle Percentiles
-				for k__, v__ := range v_.StatisticsSeries.Percentiles {
-					jd[k][k_].StatisticsSeries.Percentiles[k__] = make([]schema.Float, len(v__))
-					copy(jd[k][k_].StatisticsSeries.Percentiles[k__], v__)
-				}
-			} else {
-				jd[k][k_].StatisticsSeries = v_.StatisticsSeries
-			}
-		}
-	}
-	return jd
-}

internal/metricdispatch/dataLoader.go

@@ -0,0 +1,490 @@
+// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
+// All rights reserved. This file is part of cc-backend.
+// Use of this source code is governed by a MIT-style
+// license that can be found in the LICENSE file.
+
+// Package metricdispatch provides a unified interface for loading and caching job metric data.
+//
+// This package serves as a central dispatcher that routes metric data requests to the appropriate
+// backend based on job state. For running jobs, data is fetched from the metric store (e.g., cc-metric-store).
+// For completed jobs, data is retrieved from the file-based job archive.
+//
+// # Key Features
+//
+//   - Automatic backend selection based on job state (running vs. archived)
+//   - LRU cache for performance optimization (128 MB default cache size)
+//   - Data resampling using Largest Triangle Three Bucket algorithm for archived data
+//   - Automatic statistics series generation for jobs with many nodes
+//   - Support for scoped metrics (node, socket, accelerator, core)
+//
+// # Cache Behavior
+//
+// Cached data has different TTL (time-to-live) values depending on job state:
+//   - Running jobs: 2 minutes (data changes frequently)
+//   - Completed jobs: 5 hours (data is static)
+//
+// The cache key is based on job ID, state, requested metrics, scopes, and resolution.
+//
+// # Usage
+//
+// The primary entry point is LoadData, which automatically handles both running and archived jobs:
+//
+//	jobData, err := metricdispatch.LoadData(job, metrics, scopes, ctx, resolution)
+//	if err != nil {
+//	    // Handle error
+//	}
+//
+// For statistics only, use LoadJobStats, LoadScopedJobStats, or LoadAverages depending on the required format.
+package metricdispatch
+
+import (
+	"context"
+	"fmt"
+	"math"
+	"time"
+
+	"github.com/ClusterCockpit/cc-backend/internal/config"
+	"github.com/ClusterCockpit/cc-backend/internal/metricstore"
+	"github.com/ClusterCockpit/cc-backend/pkg/archive"
+	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
+	"github.com/ClusterCockpit/cc-lib/v2/lrucache"
+	"github.com/ClusterCockpit/cc-lib/v2/resampler"
+	"github.com/ClusterCockpit/cc-lib/v2/schema"
+)
+
+// cache is an LRU cache with 128 MB capacity for storing loaded job metric data.
+// The cache reduces load on both the metric store and archive backends.
+var cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)
+
+// cacheKey generates a unique cache key for a job's metric data based on job ID, state,
+// requested metrics, scopes, and resolution. Duration and StartTime are intentionally excluded
+// because job.ID is more unique and the cache TTL ensures entries don't persist indefinitely.
+func cacheKey(
+	job *schema.Job,
+	metrics []string,
+	scopes []schema.MetricScope,
+	resolution int,
+) string {
+	return fmt.Sprintf("%d(%s):[%v],[%v]-%d",
+		job.ID, job.State, metrics, scopes, resolution)
+}
+
+// LoadData retrieves metric data for a job from the appropriate backend (memory store for running jobs,
+// archive for completed jobs) and applies caching, resampling, and statistics generation as needed.
+//
+// For running jobs or when archive is disabled, data is fetched from the metric store.
+// For completed archived jobs, data is loaded from the job archive and resampled if needed.
+//
+// Parameters:
+//   - job: The job for which to load metric data
+//   - metrics: List of metric names to load (nil loads all metrics for the cluster)
+//   - scopes: Metric scopes to include (nil defaults to node scope)
+//   - ctx: Context for cancellation and timeouts
+//   - resolution: Target number of data points for resampling (only applies to archived data)
+//
+// Returns the loaded job data and any error encountered. For partial errors (some metrics failed),
+// the function returns the successfully loaded data with a warning logged.
+func LoadData(job *schema.Job,
+	metrics []string,
+	scopes []schema.MetricScope,
+	ctx context.Context,
+	resolution int,
+) (schema.JobData, error) {
+	data := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ any, ttl time.Duration, size int) {
+		var jd schema.JobData
+		var err error
+
+		if job.State == schema.JobStateRunning ||
+			job.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving ||
+			config.Keys.DisableArchive {
+
+			if scopes == nil {
+				scopes = append(scopes, schema.MetricScopeNode)
+			}
+
+			if metrics == nil {
+				cluster := archive.GetCluster(job.Cluster)
+				for _, mc := range cluster.MetricConfig {
+					metrics = append(metrics, mc.Name)
+				}
+			}
+
+			jd, err = metricstore.LoadData(job, metrics, scopes, ctx, resolution)
+			if err != nil {
+				if len(jd) != 0 {
+					cclog.Warnf("partial error loading metrics from store for job %d (user: %s, project: %s): %s",
+						job.JobID, job.User, job.Project, err.Error())
+				} else {
+					cclog.Errorf("failed to load job data from metric store for job %d (user: %s, project: %s): %s",
+						job.JobID, job.User, job.Project, err.Error())
+					return err, 0, 0
+				}
+			}
+			size = jd.Size()
+		} else {
+			var jdTemp schema.JobData
+			jdTemp, err = archive.GetHandle().LoadJobData(job)
+			if err != nil {
+				cclog.Errorf("failed to load job data from archive for job %d (user: %s, project: %s): %s",
+					job.JobID, job.User, job.Project, err.Error())
+				return err, 0, 0
+			}
+
+			jd = deepCopy(jdTemp)
+
+			// Resample archived data using Largest Triangle Three Bucket algorithm to reduce data points
+			// to the requested resolution, improving transfer performance and client-side rendering.
+			for _, v := range jd {
+				for _, v_ := range v {
+					timestep := int64(0)
+					for i := 0; i < len(v_.Series); i += 1 {
+						v_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))
+						if err != nil {
+							return err, 0, 0
+						}
+					}
+					v_.Timestep = int(timestep)
+				}
+			}
+
+			// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.
+			if metrics != nil || scopes != nil {
+				if metrics == nil {
+					metrics = make([]string, 0, len(jd))
+					for k := range jd {
+						metrics = append(metrics, k)
+					}
+				}
+
+				res := schema.JobData{}
+				for _, metric := range metrics {
+					if perscope, ok := jd[metric]; ok {
+						if len(perscope) > 1 {
+							subset := make(map[schema.MetricScope]*schema.JobMetric)
+							for _, scope := range scopes {
+								if jm, ok := perscope[scope]; ok {
+									subset[scope] = jm
+								}
+							}
+
+							if len(subset) > 0 {
+								perscope = subset
+							}
+						}
+
+						res[metric] = perscope
+					}
+				}
+				jd = res
+			}
+			size = jd.Size()
+		}
+
+		ttl = 5 * time.Hour
+		if job.State == schema.JobStateRunning {
+			ttl = 2 * time.Minute
+		}
+
+		// Generate statistics series for jobs with many nodes to enable min/median/max graphs
+		// instead of overwhelming the UI with individual node lines. Note that newly calculated
+		// statistics use min/median/max, while archived statistics may use min/mean/max.
+		const maxSeriesSize int = 15
+		for _, scopes := range jd {
+			for _, jm := range scopes {
+				if jm.StatisticsSeries != nil || len(jm.Series) <= maxSeriesSize {
+					continue
+				}
+
+				jm.AddStatisticsSeries()
+			}
+		}
+
+		nodeScopeRequested := false
+		for _, scope := range scopes {
+			if scope == schema.MetricScopeNode {
+				nodeScopeRequested = true
+			}
+		}
+
+		if nodeScopeRequested {
+			jd.AddNodeScope("flops_any")
+			jd.AddNodeScope("mem_bw")
+		}
+
+		// Round Resulting Stat Values
+		jd.RoundMetricStats()
+
+		return jd, ttl, size
+	})
+
+	if err, ok := data.(error); ok {
+		cclog.Errorf("error in cached dataset for job %d: %s", job.JobID, err.Error())
+		return nil, err
+	}
+
+	return data.(schema.JobData), nil
+}
+
+// LoadAverages computes average values for the specified metrics across all nodes of a job.
+// For running jobs, it loads statistics from the metric store. For completed jobs, it uses
+// the pre-calculated averages from the job archive. The results are appended to the data slice.
+func LoadAverages(
+	job *schema.Job,
+	metrics []string,
+	data [][]schema.Float,
+	ctx context.Context,
+) error {
+	if job.State != schema.JobStateRunning && !config.Keys.DisableArchive {
+		return archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?
+	}
+
+	stats, err := metricstore.LoadStats(job, metrics, ctx)
+	if err != nil {
+		cclog.Errorf("failed to load statistics from metric store for job %d (user: %s, project: %s): %s",
+			job.JobID, job.User, job.Project, err.Error())
+		return err
+	}
+
+	for i, m := range metrics {
+		nodes, ok := stats[m]
+		if !ok {
+			data[i] = append(data[i], schema.NaN)
+			continue
+		}
+
+		sum := 0.0
+		for _, node := range nodes {
+			sum += node.Avg
+		}
+		data[i] = append(data[i], schema.Float(sum))
+	}
+
+	return nil
+}
+
+// LoadScopedJobStats retrieves job statistics organized by metric scope (node, socket, core, accelerator).
+// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated
+// statistics are loaded from the job archive.
+func LoadScopedJobStats(
+	job *schema.Job,
+	metrics []string,
+	scopes []schema.MetricScope,
+	ctx context.Context,
+) (schema.ScopedJobStats, error) {
+	if job.State != schema.JobStateRunning && !config.Keys.DisableArchive {
+		return archive.LoadScopedStatsFromArchive(job, metrics, scopes)
+	}
+
+	scopedStats, err := metricstore.LoadScopedStats(job, metrics, scopes, ctx)
+	if err != nil {
+		cclog.Errorf("failed to load scoped statistics from metric store for job %d (user: %s, project: %s): %s",
+			job.JobID, job.User, job.Project, err.Error())
+		return nil, err
+	}
+
+	return scopedStats, nil
+}
+
+// LoadJobStats retrieves aggregated statistics (min/avg/max) for each requested metric across all job nodes.
+// For running jobs, statistics are computed from the metric store. For completed jobs, pre-calculated
+// statistics are loaded from the job archive.
+func LoadJobStats(
+	job *schema.Job,
+	metrics []string,
+	ctx context.Context,
+) (map[string]schema.MetricStatistics, error) {
+	if job.State != schema.JobStateRunning && !config.Keys.DisableArchive {
+		return archive.LoadStatsFromArchive(job, metrics)
+	}
+
+	data := make(map[string]schema.MetricStatistics, len(metrics))
+
+	stats, err := metricstore.LoadStats(job, metrics, ctx)
+	if err != nil {
+		cclog.Errorf("failed to load statistics from metric store for job %d (user: %s, project: %s): %s",
+			job.JobID, job.User, job.Project, err.Error())
+		return data, err
+	}
+
+	for _, m := range metrics {
+		sum, avg, min, max := 0.0, 0.0, 0.0, 0.0
+		nodes, ok := stats[m]
+		if !ok {
+			data[m] = schema.MetricStatistics{Min: min, Avg: avg, Max: max}
+			continue
+		}
+
+		for _, node := range nodes {
+			sum += node.Avg
+			min = math.Min(min, node.Min)
+			max = math.Max(max, node.Max)
+		}
+
+		data[m] = schema.MetricStatistics{
+			Avg: (math.Round((sum/float64(job.NumNodes))*100) / 100),
+			Min: (math.Round(min*100) / 100),
+			Max: (math.Round(max*100) / 100),
+		}
+	}
+
+	return data, nil
+}
+
+// LoadNodeData retrieves metric data for specific nodes in a cluster within a time range.
+// This is used for node monitoring views and system status pages. Data is always fetched from
+// the metric store (not the archive) since it's for current/recent node status monitoring.
+//
+// Returns a nested map structure: node -> metric -> scoped data.
+func LoadNodeData(
+	cluster string,
+	metrics, nodes []string,
+	scopes []schema.MetricScope,
+	from, to time.Time,
+	ctx context.Context,
+) (map[string]map[string][]*schema.JobMetric, error) {
+	if metrics == nil {
+		for _, m := range archive.GetCluster(cluster).MetricConfig {
+			metrics = append(metrics, m.Name)
+		}
+	}
+
+	data, err := metricstore.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
+	if err != nil {
+		if len(data) != 0 {
+			cclog.Warnf("partial error loading node data from metric store for cluster %s: %s", cluster, err.Error())
+		} else {
+			cclog.Errorf("failed to load node data from metric store for cluster %s: %s", cluster, err.Error())
+			return nil, err
+		}
+	}
+
+	if data == nil {
+		return nil, fmt.Errorf("metric store for cluster '%s' does not support node data queries", cluster)
+	}
+
+	return data, nil
+}
+
+// LoadNodeListData retrieves time-series metric data for multiple nodes within a time range,
+// with optional resampling and automatic statistics generation for large datasets.
+// This is used for comparing multiple nodes or displaying node status over time.
+//
+// Returns a map of node names to their job-like metric data structures.
+func LoadNodeListData(
+	cluster, subCluster string,
+	nodes []string,
+	metrics []string,
+	scopes []schema.MetricScope,
+	resolution int,
+	from, to time.Time,
+	ctx context.Context,
+) (map[string]schema.JobData, error) {
+	if metrics == nil {
+		for _, m := range archive.GetCluster(cluster).MetricConfig {
+			metrics = append(metrics, m.Name)
+		}
+	}
+
+	data, err := metricstore.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx)
+	if err != nil {
+		if len(data) != 0 {
+			cclog.Warnf("partial error loading node list data from metric store for cluster %s, subcluster %s: %s",
+				cluster, subCluster, err.Error())
+		} else {
+			cclog.Errorf("failed to load node list data from metric store for cluster %s, subcluster %s: %s",
+				cluster, subCluster, err.Error())
+			return nil, err
+		}
+	}
+
+	// Generate statistics series for datasets with many series to improve visualization performance.
+	// Statistics are calculated as min/median/max.
+	const maxSeriesSize int = 8
+	for _, jd := range data {
+		for _, scopes := range jd {
+			for _, jm := range scopes {
+				if jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {
+					continue
+				}
+				jm.AddStatisticsSeries()
+			}
+		}
+	}
+
+	if data == nil {
+		return nil, fmt.Errorf("metric store for cluster '%s' does not support node list queries", cluster)
+	}
+
+	return data, nil
+}
+
+// deepCopy creates a deep copy of JobData to prevent cache corruption when modifying
+// archived data (e.g., during resampling). This ensures the cached archive data remains
+// immutable while allowing per-request transformations.
+func deepCopy(source schema.JobData) schema.JobData {
+	result := make(schema.JobData, len(source))
+
+	for metricName, scopeMap := range source {
+		result[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))
+
+		for scope, jobMetric := range scopeMap {
+			result[metricName][scope] = copyJobMetric(jobMetric)
+		}
+	}
+
+	return result
+}
+
+func copyJobMetric(src *schema.JobMetric) *schema.JobMetric {
+	dst := &schema.JobMetric{
+		Timestep: src.Timestep,
+		Unit:     src.Unit,
+		Series:   make([]schema.Series, len(src.Series)),
+	}
+
+	for i := range src.Series {
+		dst.Series[i] = copySeries(&src.Series[i])
+	}
+
+	if src.StatisticsSeries != nil {
+		dst.StatisticsSeries = copyStatisticsSeries(src.StatisticsSeries)
+	}
+
+	return dst
+}
+
+func copySeries(src *schema.Series) schema.Series {
+	dst := schema.Series{
+		Hostname:   src.Hostname,
+		Id:         src.Id,
+		Statistics: src.Statistics,
+		Data:       make([]schema.Float, len(src.Data)),
+	}
+
+	copy(dst.Data, src.Data)
+	return dst
+}
+
+func copyStatisticsSeries(src *schema.StatsSeries) *schema.StatsSeries {
+	dst := &schema.StatsSeries{
+		Min:    make([]schema.Float, len(src.Min)),
+		Mean:   make([]schema.Float, len(src.Mean)),
+		Median: make([]schema.Float, len(src.Median)),
+		Max:    make([]schema.Float, len(src.Max)),
+	}
+
+	copy(dst.Min, src.Min)
+	copy(dst.Mean, src.Mean)
+	copy(dst.Median, src.Median)
+	copy(dst.Max, src.Max)
+
+	if len(src.Percentiles) > 0 {
+		dst.Percentiles = make(map[int][]schema.Float, len(src.Percentiles))
+		for percentile, values := range src.Percentiles {
+			dst.Percentiles[percentile] = make([]schema.Float, len(values))
+			copy(dst.Percentiles[percentile], values)
+		}
+	}
+
+	return dst
+}

internal/metricdispatch/dataLoader_test.go

@@ -0,0 +1,125 @@
+// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
+// All rights reserved. This file is part of cc-backend.
+// Use of this source code is governed by a MIT-style
+// license that can be found in the LICENSE file.
+
+package metricdispatch
+
+import (
+	"testing"
+
+	"github.com/ClusterCockpit/cc-lib/v2/schema"
+)
+
+func TestDeepCopy(t *testing.T) {
+	nodeId := "0"
+	original := schema.JobData{
+		"cpu_load": {
+			schema.MetricScopeNode: &schema.JobMetric{
+				Timestep: 60,
+				Unit:     schema.Unit{Base: "load", Prefix: ""},
+				Series: []schema.Series{
+					{
+						Hostname: "node001",
+						Id:       &nodeId,
+						Data:     []schema.Float{1.0, 2.0, 3.0},
+						Statistics: schema.MetricStatistics{
+							Min: 1.0,
+							Avg: 2.0,
+							Max: 3.0,
+						},
+					},
+				},
+				StatisticsSeries: &schema.StatsSeries{
+					Min:    []schema.Float{1.0, 1.5, 2.0},
+					Mean:   []schema.Float{2.0, 2.5, 3.0},
+					Median: []schema.Float{2.0, 2.5, 3.0},
+					Max:    []schema.Float{3.0, 3.5, 4.0},
+					Percentiles: map[int][]schema.Float{
+						25: {1.5, 2.0, 2.5},
+						75: {2.5, 3.0, 3.5},
+					},
+				},
+			},
+		},
+	}
+
+	copied := deepCopy(original)
+
+	original["cpu_load"][schema.MetricScopeNode].Series[0].Data[0] = 999.0
+	original["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Min[0] = 888.0
+	original["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles[25][0] = 777.0
+
+	if copied["cpu_load"][schema.MetricScopeNode].Series[0].Data[0] != 1.0 {
+		t.Errorf("Series data was not deeply copied: got %v, want 1.0",
+			copied["cpu_load"][schema.MetricScopeNode].Series[0].Data[0])
+	}
+
+	if copied["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Min[0] != 1.0 {
+		t.Errorf("StatisticsSeries was not deeply copied: got %v, want 1.0",
+			copied["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Min[0])
+	}
+
+	if copied["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles[25][0] != 1.5 {
+		t.Errorf("Percentiles was not deeply copied: got %v, want 1.5",
+			copied["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles[25][0])
+	}
+
+	if copied["cpu_load"][schema.MetricScopeNode].Timestep != 60 {
+		t.Errorf("Timestep not copied correctly: got %v, want 60",
+			copied["cpu_load"][schema.MetricScopeNode].Timestep)
+	}
+
+	if copied["cpu_load"][schema.MetricScopeNode].Series[0].Hostname != "node001" {
+		t.Errorf("Hostname not copied correctly: got %v, want node001",
+			copied["cpu_load"][schema.MetricScopeNode].Series[0].Hostname)
+	}
+}
+
+func TestDeepCopyNilStatisticsSeries(t *testing.T) {
+	original := schema.JobData{
+		"mem_used": {
+			schema.MetricScopeNode: &schema.JobMetric{
+				Timestep: 60,
+				Series: []schema.Series{
+					{
+						Hostname: "node001",
+						Data:     []schema.Float{1.0, 2.0},
+					},
+				},
+				StatisticsSeries: nil,
+			},
+		},
+	}
+
+	copied := deepCopy(original)
+
+	if copied["mem_used"][schema.MetricScopeNode].StatisticsSeries != nil {
+		t.Errorf("StatisticsSeries should be nil, got %v",
+			copied["mem_used"][schema.MetricScopeNode].StatisticsSeries)
+	}
+}
+
+func TestDeepCopyEmptyPercentiles(t *testing.T) {
+	original := schema.JobData{
+		"cpu_load": {
+			schema.MetricScopeNode: &schema.JobMetric{
+				Timestep: 60,
+				Series:   []schema.Series{},
+				StatisticsSeries: &schema.StatsSeries{
+					Min:         []schema.Float{1.0},
+					Mean:        []schema.Float{2.0},
+					Median:      []schema.Float{2.0},
+					Max:         []schema.Float{3.0},
+					Percentiles: nil,
+				},
+			},
+		},
+	}
+
+	copied := deepCopy(original)
+
+	if copied["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles != nil {
+		t.Errorf("Percentiles should be nil when source is nil/empty")
+	}
+}

internal/metricstore/api.go

@@ -3,10 +3,11 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"errors"
+	"fmt"
 	"math"
 
 	"github.com/ClusterCockpit/cc-lib/v2/schema"
@@ -124,6 +125,9 @@ func FetchData(req APIQueryRequest) (*APIQueryResponse, error) {
 
 	req.WithData = true
 	ms := GetMemoryStore()
+	if ms == nil {
+		return nil, fmt.Errorf("memorystore not initialized")
+	}
 
 	response := APIQueryResponse{
 		Results: make([][]APIMetricData, 0, len(req.Queries)),

internal/metricstore/archive.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"archive/zip"

internal/metricstore/avroCheckpoint.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"bufio"

internal/metricstore/avroHelper.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"context"

internal/metricstore/avroStruct.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"sync"

internal/metricstore/buffer.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"errors"

internal/metricstore/checkpoint.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"bufio"

internal/metricstore/config.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"fmt"
@@ -19,8 +19,6 @@ const (
 	DefaultAvroCheckpointInterval = time.Minute
 )
 
-var InternalCCMSFlag bool = false
-
 type MetricStoreConfig struct {
 	// Number of concurrent workers for checkpoint and archive operations.
 	// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)

internal/metricstore/configSchema.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 const configSchema = `{
     "type": "object",

internal/metricstore/debug.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"bufio"

internal/metricstore/healthcheck.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"bufio"

internal/metricstore/level.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"sync"

internal/metricstore/lineprotocol.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"context"

internal/metricstore/memorystore.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-// Package memorystore provides an efficient in-memory time-series metric storage system
+// Package metricstore provides an efficient in-memory time-series metric storage system
 // with support for hierarchical data organization, checkpointing, and archiving.
 //
 // The package organizes metrics in a tree structure (cluster → host → component) and
@@ -17,7 +17,7 @@
 //   - Concurrent checkpoint/archive workers
 //   - Support for sum and average aggregation
 //   - NATS integration for metric ingestion
-package memorystore
+package metricstore
 
 import (
 	"bytes"

internal/metricstore/memorystore_test.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"testing"

internal/metricstore/query.go

@@ -3,56 +3,41 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package metricdata
+package metricstore
 
 import (
 	"context"
-	"encoding/json"
 	"fmt"
 	"strconv"
 	"strings"
 	"time"
 
-	"github.com/ClusterCockpit/cc-backend/internal/memorystore"
 	"github.com/ClusterCockpit/cc-backend/pkg/archive"
 	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
 	"github.com/ClusterCockpit/cc-lib/v2/schema"
 )
 
-// Bloat Code
-type CCMetricStoreConfigInternal struct {
-	Kind  string `json:"kind"`
-	Url   string `json:"url"`
-	Token string `json:"token"`
+// TestLoadDataCallback allows tests to override LoadData behavior
+var TestLoadDataCallback func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error)
 
-	// If metrics are known to this MetricDataRepository under a different
-	// name than in the `metricConfig` section of the 'cluster.json',
-	// provide this optional mapping of local to remote name for this metric.
-	Renamings map[string]string `json:"metricRenamings"`
-}
-
-// Bloat Code
-type CCMetricStoreInternal struct{}
-
-// Bloat Code
-func (ccms *CCMetricStoreInternal) Init(rawConfig json.RawMessage) error {
-	return nil
-}
-
-func (ccms *CCMetricStoreInternal) LoadData(
+func LoadData(
 	job *schema.Job,
 	metrics []string,
 	scopes []schema.MetricScope,
 	ctx context.Context,
 	resolution int,
 ) (schema.JobData, error) {
-	queries, assignedScope, err := ccms.buildQueries(job, metrics, scopes, int64(resolution))
+	if TestLoadDataCallback != nil {
+		return TestLoadDataCallback(job, metrics, scopes, ctx, resolution)
+	}
+
+	queries, assignedScope, err := buildQueries(job, metrics, scopes, int64(resolution))
 	if err != nil {
 		cclog.Errorf("Error while building queries for jobId %d, Metrics %v, Scopes %v: %s", job.JobID, metrics, scopes, err.Error())
 		return nil, err
 	}
 
-	req := memorystore.APIQueryRequest{
+	req := APIQueryRequest{
 		Cluster:   job.Cluster,
 		From:      job.StartTime,
 		To:        job.StartTime + int64(job.Duration),
@@ -61,7 +46,7 @@ func (ccms *CCMetricStoreInternal) LoadData(
 		WithData:  true,
 	}
 
-	resBody, err := memorystore.FetchData(req)
+	resBody, err := FetchData(req)
 	if err != nil {
 		cclog.Errorf("Error while fetching data : %s", err.Error())
 		return nil, err
@@ -149,13 +134,13 @@ var (
 	acceleratorString  = string(schema.MetricScopeAccelerator)
 )
 
-func (ccms *CCMetricStoreInternal) buildQueries(
+func buildQueries(
 	job *schema.Job,
 	metrics []string,
 	scopes []schema.MetricScope,
 	resolution int64,
-) ([]memorystore.APIQuery, []schema.MetricScope, error) {
-	queries := make([]memorystore.APIQuery, 0, len(metrics)*len(scopes)*len(job.Resources))
+) ([]APIQuery, []schema.MetricScope, error) {
+	queries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(job.Resources))
 	assignedScope := []schema.MetricScope{}
 
 	subcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)
@@ -217,7 +202,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 						continue
 					}
 
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  false,
@@ -235,7 +220,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 						continue
 					}
 
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  true,
@@ -249,7 +234,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 
 				// HWThread -> HWThead
 				if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeHWThread {
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  false,
@@ -265,7 +250,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeCore {
 					cores, _ := topology.GetCoresFromHWThreads(hwthreads)
 					for _, core := range cores {
-						queries = append(queries, memorystore.APIQuery{
+						queries = append(queries, APIQuery{
 							Metric:     metric,
 							Hostname:   host.Hostname,
 							Aggregate:  true,
@@ -282,7 +267,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeSocket {
 					sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
 					for _, socket := range sockets {
-						queries = append(queries, memorystore.APIQuery{
+						queries = append(queries, APIQuery{
 							Metric:     metric,
 							Hostname:   host.Hostname,
 							Aggregate:  true,
@@ -297,7 +282,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 
 				// HWThread -> Node
 				if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeNode {
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  true,
@@ -312,7 +297,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				// Core -> Core
 				if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeCore {
 					cores, _ := topology.GetCoresFromHWThreads(hwthreads)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  false,
@@ -328,7 +313,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeSocket {
 					sockets, _ := topology.GetSocketsFromCores(hwthreads)
 					for _, socket := range sockets {
-						queries = append(queries, memorystore.APIQuery{
+						queries = append(queries, APIQuery{
 							Metric:     metric,
 							Hostname:   host.Hostname,
 							Aggregate:  true,
@@ -344,7 +329,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				// Core -> Node
 				if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeNode {
 					cores, _ := topology.GetCoresFromHWThreads(hwthreads)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  true,
@@ -359,7 +344,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				// MemoryDomain -> MemoryDomain
 				if nativeScope == schema.MetricScopeMemoryDomain && scope == schema.MetricScopeMemoryDomain {
 					sockets, _ := topology.GetMemoryDomainsFromHWThreads(hwthreads)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  false,
@@ -374,7 +359,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				// MemoryDoman -> Node
 				if nativeScope == schema.MetricScopeMemoryDomain && scope == schema.MetricScopeNode {
 					sockets, _ := topology.GetMemoryDomainsFromHWThreads(hwthreads)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  true,
@@ -389,7 +374,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				// Socket -> Socket
 				if nativeScope == schema.MetricScopeSocket && scope == schema.MetricScopeSocket {
 					sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  false,
@@ -404,7 +389,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 				// Socket -> Node
 				if nativeScope == schema.MetricScopeSocket && scope == schema.MetricScopeNode {
 					sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Aggregate:  true,
@@ -418,7 +403,7 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 
 				// Node -> Node
 				if nativeScope == schema.MetricScopeNode && scope == schema.MetricScopeNode {
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   host.Hostname,
 						Resolution: resolution,
@@ -435,18 +420,18 @@ func (ccms *CCMetricStoreInternal) buildQueries(
 	return queries, assignedScope, nil
 }
 
-func (ccms *CCMetricStoreInternal) LoadStats(
+func LoadStats(
 	job *schema.Job,
 	metrics []string,
 	ctx context.Context,
 ) (map[string]map[string]schema.MetricStatistics, error) {
-	queries, _, err := ccms.buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, 0) // #166 Add scope shere for analysis view accelerator normalization?
+	queries, _, err := buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, 0) // #166 Add scope shere for analysis view accelerator normalization?
 	if err != nil {
 		cclog.Errorf("Error while building queries for jobId %d, Metrics %v: %s", job.JobID, metrics, err.Error())
 		return nil, err
 	}
 
-	req := memorystore.APIQueryRequest{
+	req := APIQueryRequest{
 		Cluster:   job.Cluster,
 		From:      job.StartTime,
 		To:        job.StartTime + int64(job.Duration),
@@ -455,7 +440,7 @@ func (ccms *CCMetricStoreInternal) LoadStats(
 		WithData:  false,
 	}
 
-	resBody, err := memorystore.FetchData(req)
+	resBody, err := FetchData(req)
 	if err != nil {
 		cclog.Errorf("Error while fetching data : %s", err.Error())
 		return nil, err
@@ -492,20 +477,19 @@ func (ccms *CCMetricStoreInternal) LoadStats(
 	return stats, nil
 }
 
-// Used for Job-View Statistics Table
-func (ccms *CCMetricStoreInternal) LoadScopedStats(
+func LoadScopedStats(
 	job *schema.Job,
 	metrics []string,
 	scopes []schema.MetricScope,
 	ctx context.Context,
 ) (schema.ScopedJobStats, error) {
-	queries, assignedScope, err := ccms.buildQueries(job, metrics, scopes, 0)
+	queries, assignedScope, err := buildQueries(job, metrics, scopes, 0)
 	if err != nil {
 		cclog.Errorf("Error while building queries for jobId %d, Metrics %v, Scopes %v: %s", job.JobID, metrics, scopes, err.Error())
 		return nil, err
 	}
 
-	req := memorystore.APIQueryRequest{
+	req := APIQueryRequest{
 		Cluster:   job.Cluster,
 		From:      job.StartTime,
 		To:        job.StartTime + int64(job.Duration),
@@ -514,7 +498,7 @@ func (ccms *CCMetricStoreInternal) LoadScopedStats(
 		WithData:  false,
 	}
 
-	resBody, err := memorystore.FetchData(req)
+	resBody, err := FetchData(req)
 	if err != nil {
 		cclog.Errorf("Error while fetching data : %s", err.Error())
 		return nil, err
@@ -583,15 +567,14 @@ func (ccms *CCMetricStoreInternal) LoadScopedStats(
 	return scopedJobStats, nil
 }
 
-// Used for Systems-View Node-Overview
-func (ccms *CCMetricStoreInternal) LoadNodeData(
+func LoadNodeData(
 	cluster string,
 	metrics, nodes []string,
 	scopes []schema.MetricScope,
 	from, to time.Time,
 	ctx context.Context,
 ) (map[string]map[string][]*schema.JobMetric, error) {
-	req := memorystore.APIQueryRequest{
+	req := APIQueryRequest{
 		Cluster:   cluster,
 		From:      from.Unix(),
 		To:        to.Unix(),
@@ -604,7 +587,7 @@ func (ccms *CCMetricStoreInternal) LoadNodeData(
 	} else {
 		for _, node := range nodes {
 			for _, metric := range metrics {
-				req.Queries = append(req.Queries, memorystore.APIQuery{
+				req.Queries = append(req.Queries, APIQuery{
 					Hostname:   node,
 					Metric:     metric,
 					Resolution: 0, // Default for Node Queries: Will return metric $Timestep Resolution
@@ -613,7 +596,7 @@ func (ccms *CCMetricStoreInternal) LoadNodeData(
 		}
 	}
 
-	resBody, err := memorystore.FetchData(req)
+	resBody, err := FetchData(req)
 	if err != nil {
 		cclog.Errorf("Error while fetching data : %s", err.Error())
 		return nil, err
@@ -622,7 +605,7 @@ func (ccms *CCMetricStoreInternal) LoadNodeData(
 	var errors []string
 	data := make(map[string]map[string][]*schema.JobMetric)
 	for i, res := range resBody.Results {
-		var query memorystore.APIQuery
+		var query APIQuery
 		if resBody.Queries != nil {
 			query = resBody.Queries[i]
 		} else {
@@ -673,8 +656,7 @@ func (ccms *CCMetricStoreInternal) LoadNodeData(
 	return data, nil
 }
 
-// Used for Systems-View Node-List
-func (ccms *CCMetricStoreInternal) LoadNodeListData(
+func LoadNodeListData(
 	cluster, subCluster string,
 	nodes []string,
 	metrics []string,
@@ -683,15 +665,14 @@ func (ccms *CCMetricStoreInternal) LoadNodeListData(
 	from, to time.Time,
 	ctx context.Context,
 ) (map[string]schema.JobData, error) {
-
 	// Note: Order of node data is not guaranteed after this point
-	queries, assignedScope, err := ccms.buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, int64(resolution))
+	queries, assignedScope, err := buildNodeQueries(cluster, subCluster, nodes, metrics, scopes, int64(resolution))
 	if err != nil {
 		cclog.Errorf("Error while building node queries for Cluster %s, SubCLuster %s, Metrics %v, Scopes %v: %s", cluster, subCluster, metrics, scopes, err.Error())
 		return nil, err
 	}
 
-	req := memorystore.APIQueryRequest{
+	req := APIQueryRequest{
 		Cluster:   cluster,
 		Queries:   queries,
 		From:      from.Unix(),
@@ -700,7 +681,7 @@ func (ccms *CCMetricStoreInternal) LoadNodeListData(
 		WithData:  true,
 	}
 
-	resBody, err := memorystore.FetchData(req)
+	resBody, err := FetchData(req)
 	if err != nil {
 		cclog.Errorf("Error while fetching data : %s", err.Error())
 		return nil, err
@@ -709,7 +690,7 @@ func (ccms *CCMetricStoreInternal) LoadNodeListData(
 	var errors []string
 	data := make(map[string]schema.JobData)
 	for i, row := range resBody.Results {
-		var query memorystore.APIQuery
+		var query APIQuery
 		if resBody.Queries != nil {
 			query = resBody.Queries[i]
 		} else {
@@ -789,15 +770,15 @@ func (ccms *CCMetricStoreInternal) LoadNodeListData(
 	return data, nil
 }
 
-func (ccms *CCMetricStoreInternal) buildNodeQueries(
+func buildNodeQueries(
 	cluster string,
 	subCluster string,
 	nodes []string,
 	metrics []string,
 	scopes []schema.MetricScope,
 	resolution int64,
-) ([]memorystore.APIQuery, []schema.MetricScope, error) {
-	queries := make([]memorystore.APIQuery, 0, len(metrics)*len(scopes)*len(nodes))
+) ([]APIQuery, []schema.MetricScope, error) {
+	queries := make([]APIQuery, 0, len(metrics)*len(scopes)*len(nodes))
 	assignedScope := []schema.MetricScope{}
 
 	// Get Topol before loop if subCluster given
@@ -812,7 +793,6 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 	}
 
 	for _, metric := range metrics {
-		metric := metric
 		mc := archive.GetMetricConfig(cluster, metric)
 		if mc == nil {
 			// return nil, fmt.Errorf("METRICDATA/CCMS > metric '%s' is not specified for cluster '%s'", metric, cluster)
@@ -880,7 +860,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 						continue
 					}
 
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  false,
@@ -898,7 +878,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 						continue
 					}
 
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  true,
@@ -912,7 +892,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 
 				// HWThread -> HWThead
 				if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeHWThread {
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  false,
@@ -928,7 +908,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeCore {
 					cores, _ := topology.GetCoresFromHWThreads(topology.Node)
 					for _, core := range cores {
-						queries = append(queries, memorystore.APIQuery{
+						queries = append(queries, APIQuery{
 							Metric:     metric,
 							Hostname:   hostname,
 							Aggregate:  true,
@@ -945,7 +925,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeSocket {
 					sockets, _ := topology.GetSocketsFromHWThreads(topology.Node)
 					for _, socket := range sockets {
-						queries = append(queries, memorystore.APIQuery{
+						queries = append(queries, APIQuery{
 							Metric:     metric,
 							Hostname:   hostname,
 							Aggregate:  true,
@@ -960,7 +940,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 
 				// HWThread -> Node
 				if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeNode {
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  true,
@@ -975,7 +955,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				// Core -> Core
 				if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeCore {
 					cores, _ := topology.GetCoresFromHWThreads(topology.Node)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  false,
@@ -991,7 +971,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeSocket {
 					sockets, _ := topology.GetSocketsFromCores(topology.Node)
 					for _, socket := range sockets {
-						queries = append(queries, memorystore.APIQuery{
+						queries = append(queries, APIQuery{
 							Metric:     metric,
 							Hostname:   hostname,
 							Aggregate:  true,
@@ -1007,7 +987,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				// Core -> Node
 				if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeNode {
 					cores, _ := topology.GetCoresFromHWThreads(topology.Node)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  true,
@@ -1022,7 +1002,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				// MemoryDomain -> MemoryDomain
 				if nativeScope == schema.MetricScopeMemoryDomain && scope == schema.MetricScopeMemoryDomain {
 					sockets, _ := topology.GetMemoryDomainsFromHWThreads(topology.Node)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  false,
@@ -1037,7 +1017,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				// MemoryDoman -> Node
 				if nativeScope == schema.MetricScopeMemoryDomain && scope == schema.MetricScopeNode {
 					sockets, _ := topology.GetMemoryDomainsFromHWThreads(topology.Node)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  true,
@@ -1052,7 +1032,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				// Socket -> Socket
 				if nativeScope == schema.MetricScopeSocket && scope == schema.MetricScopeSocket {
 					sockets, _ := topology.GetSocketsFromHWThreads(topology.Node)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  false,
@@ -1067,7 +1047,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 				// Socket -> Node
 				if nativeScope == schema.MetricScopeSocket && scope == schema.MetricScopeNode {
 					sockets, _ := topology.GetSocketsFromHWThreads(topology.Node)
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Aggregate:  true,
@@ -1081,7 +1061,7 @@ func (ccms *CCMetricStoreInternal) buildNodeQueries(
 
 				// Node -> Node
 				if nativeScope == schema.MetricScopeNode && scope == schema.MetricScopeNode {
-					queries = append(queries, memorystore.APIQuery{
+					queries = append(queries, APIQuery{
 						Metric:     metric,
 						Hostname:   hostname,
 						Resolution: resolution,

internal/metricstore/stats.go

@@ -3,7 +3,7 @@
 // Use of this source code is governed by a MIT-style
 // license that can be found in the LICENSE file.
 
-package memorystore
+package metricstore
 
 import (
 	"errors"

internal/metricsync/metricdata.go

@@ -0,0 +1,60 @@
+// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
+// All rights reserved. This file is part of cc-backend.
+// Use of this source code is governed by a MIT-style
+// license that can be found in the LICENSE file.
+
+package metricsync
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"time"
+
+	"github.com/ClusterCockpit/cc-backend/internal/config"
+	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
+	"github.com/ClusterCockpit/cc-lib/v2/schema"
+)
+
+type MetricDataSource interface {
+	// Initialize this MetricDataRepository. One instance of
+	// this interface will only ever be responsible for one cluster.
+	Init(rawConfig json.RawMessage) error
+
+	// Return a map of hosts to a map of metrics at the requested scopes (currently only node) for that node.
+	Pull(cluster string, metrics, nodes []string, scopes []schema.MetricScope, from, to time.Time, ctx context.Context) (map[string]map[string][]*schema.JobMetric, error)
+}
+
+var metricDataSourceRepos map[string]MetricDataSource = map[string]MetricDataSource{}
+
+func Init() error {
+	for _, cluster := range config.Clusters {
+		if cluster.MetricDataRepository != nil {
+			var kind struct {
+				Kind string `json:"kind"`
+			}
+			if err := json.Unmarshal(cluster.MetricDataRepository, &kind); err != nil {
+				cclog.Warn("Error while unmarshaling raw json MetricDataRepository")
+				return err
+			}
+
+			var mdr MetricDataSource
+			switch kind.Kind {
+			case "cc-metric-store":
+			case "prometheus":
+				// mdr = &PrometheusDataRepository{}
+			case "test":
+				// mdr = &TestMetricDataRepository{}
+			default:
+				return fmt.Errorf("METRICDATA/METRICDATA > Unknown MetricDataRepository %v for cluster %v", kind.Kind, cluster.Name)
+			}
+
+			if err := mdr.Init(cluster.MetricDataRepository); err != nil {
+				cclog.Errorf("Error initializing MetricDataRepository %v for cluster %v", kind.Kind, cluster.Name)
+				return err
+			}
+			metricDataSourceRepos[cluster.Name] = mdr
+		}
+	}
+	return nil
+}

internal/repository/stats.go

@@ -12,7 +12,7 @@ import (
 
 	"github.com/ClusterCockpit/cc-backend/internal/config"
 	"github.com/ClusterCockpit/cc-backend/internal/graph/model"
-	"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
+	"github.com/ClusterCockpit/cc-backend/internal/metricdispatch"
 	"github.com/ClusterCockpit/cc-backend/pkg/archive"
 	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
 	"github.com/ClusterCockpit/cc-lib/v2/schema"
@@ -766,7 +766,7 @@ func (r *JobRepository) runningJobsMetricStatisticsHistogram(
 			continue
 		}
 
-		if err := metricDataDispatcher.LoadAverages(job, metrics, avgs, ctx); err != nil {
+		if err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {
 			cclog.Errorf("Error while loading averages for histogram: %s", err)
 			return nil
 		}

internal/taskmanager/updateFootprintService.go

@@ -10,7 +10,7 @@ import (
 	"math"
 	"time"
 
-	"github.com/ClusterCockpit/cc-backend/internal/metricdata"
+	"github.com/ClusterCockpit/cc-backend/internal/metricstore"
 	"github.com/ClusterCockpit/cc-backend/pkg/archive"
 	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
 	"github.com/ClusterCockpit/cc-lib/v2/schema"
@@ -58,12 +58,6 @@ func RegisterFootprintWorker() {
 						allMetrics = append(allMetrics, mc.Name)
 					}
 
-					repo, err := metricdata.GetMetricDataRepo(cluster.Name)
-					if err != nil {
-						cclog.Errorf("no metric data repository configured for '%s'", cluster.Name)
-						continue
-					}
-
 					pendingStatements := []sq.UpdateBuilder{}
 
 					for _, job := range jobs {
@@ -72,7 +66,7 @@ func RegisterFootprintWorker() {
 
 						sJob := time.Now()
 
-						jobStats, err := repo.LoadStats(job, allMetrics, context.Background())
+						jobStats, err := metricstore.LoadStats(job, allMetrics, context.Background())
 						if err != nil {
 							cclog.Errorf("error wile loading job data stats for footprint update: %v", err)
 							ce++