Merge branch 'feat/565-add-metric-tooltip' into metric-store-tickets

Resolve conflicts in the generated GraphQL code by regenerating it against
the merged schema. cc-lib v2.13.0 adds Tooltip to schema.MetricConfig and
schema.GlobalMetricListItem, so gqlgen now binds the tooltip field directly
and the hand-written globalMetricListItem/metricConfig resolvers introduced
on the tooltip branch are no longer needed.

Also migrate to the cc-lib v2.13.0 metric container types, which changed
from bare maps to structs carrying array-valued metric groups:

  schema.JobData          map -> {Metrics, Groups}
  schema.ScopedJobStats   map -> {Metrics, Groups}
  job.Statistics          map -> schema.JobStatisticsSet{Metrics, Groups}

Callers index .Metrics, return the zero struct instead of nil, and
deepCopy/DecodeJobStats now also carry the Groups payload through.
archive.GetStatistics returns the full JobStatisticsSet so group
statistics survive the round trip.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

api/schema.graphqls

@@ -143,6 +143,7 @@ type MetricConfig {
   alert: Float!
   lowerIsBetter: Boolean
   subClusters: [SubClusterConfig!]!
+  tooltip: String
 }
 
 type Tag {
@@ -306,6 +307,7 @@ type GlobalMetricListItem {
   unit: Unit!
   scope: MetricScope!
   footprint: String
+  tooltip: String
   availability: [ClusterSupport!]!
 }
 

internal/api/api_test.go

@@ -196,8 +196,8 @@ func cleanup() {
 func TestRestApi(t *testing.T) {
 	restapi := setup(t)
 	t.Cleanup(cleanup)
-	testData := schema.JobData{
+	testData := schema.JobData{Metrics: map[string]schema.ScopedMetrics{
-		"load_one": map[schema.MetricScope]*schema.JobMetric{
+		"load_one": {
 			schema.MetricScopeNode: {
 				Unit:     schema.Unit{Base: "load"},
 				Timestep: 60,
@@ -210,7 +210,7 @@ func TestRestApi(t *testing.T) {
 				},
 			},
 		},
-	}
+	}}
 
 	metricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
 		return testData, nil
@@ -497,8 +497,8 @@ func TestStopJobWithReusedJobId(t *testing.T) {
 	restapi := setup(t)
 	t.Cleanup(cleanup)
 
-	testData := schema.JobData{
+	testData := schema.JobData{Metrics: map[string]schema.ScopedMetrics{
-		"load_one": map[schema.MetricScope]*schema.JobMetric{
+		"load_one": {
 			schema.MetricScopeNode: {
 				Unit:     schema.Unit{Base: "load"},
 				Timestep: 60,
@@ -511,7 +511,7 @@ func TestStopJobWithReusedJobId(t *testing.T) {
 				},
 			},
 		},
-	}
+	}}
 
 	metricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
 		return testData, nil

internal/api/job.go

@@ -412,7 +412,7 @@ func (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {
 	}
 
 	res := []*JobMetricWithName{}
-	for name, md := range data {
+	for name, md := range data.Metrics {
 		for scope, metric := range md {
 			res = append(res, &JobMetricWithName{
 				Name:   name,

internal/api/nats_test.go

@@ -531,8 +531,8 @@ func TestNatsHandleStopJob(t *testing.T) {
 		},
 	}
 
-	testData := schema.JobData{
+	testData := schema.JobData{Metrics: map[string]schema.ScopedMetrics{
-		"load_one": map[schema.MetricScope]*schema.JobMetric{
+		"load_one": {
 			schema.MetricScopeNode: {
 				Unit:     schema.Unit{Base: "load"},
 				Timestep: 60,
@@ -545,7 +545,7 @@ func TestNatsHandleStopJob(t *testing.T) {
 				},
 			},
 		},
-	}
+	}}
 
 	metricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
 		return testData, nil

internal/archiver/archiver.go

@@ -65,9 +65,9 @@ func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {
 		return nil, err
 	}
 
-	job.Statistics = make(map[string]schema.JobStatistics)
+	job.Statistics = schema.JobStatisticsSet{Metrics: make(map[string]schema.JobStatistics, len(jobData.Metrics))}
 
-	for metric, data := range jobData {
+	for metric, data := range jobData.Metrics {
 		avg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32
 		nodeData, ok := data["node"]
 		if !ok {
@@ -82,7 +82,7 @@ func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {
 		}
 
 		// Round AVG Result to 2 Digits
-		job.Statistics[metric] = schema.JobStatistics{
+		job.Statistics.Metrics[metric] = schema.JobStatistics{
 			Unit: schema.Unit{
 				Prefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,
 				Base:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,

internal/graph/generated/generated.go

@@ -100,6 +100,7 @@ type ComplexityRoot struct {
 		Footprint    func(childComplexity int) int
 		Name         func(childComplexity int) int
 		Scope        func(childComplexity int) int
+		Tooltip      func(childComplexity int) int
 		Unit         func(childComplexity int) int
 	}
 
@@ -219,6 +220,7 @@ type ComplexityRoot struct {
 		Scope         func(childComplexity int) int
 		SubClusters   func(childComplexity int) int
 		Timestep      func(childComplexity int) int
+		Tooltip       func(childComplexity int) int
 		Unit          func(childComplexity int) int
 	}
 
@@ -698,6 +700,12 @@ func (e *executableSchema) Complexity(ctx context.Context, typeName, field strin
 		}
 
 		return e.ComplexityRoot.GlobalMetricListItem.Scope(childComplexity), true
+	case "GlobalMetricListItem.tooltip":
+		if e.ComplexityRoot.GlobalMetricListItem.Tooltip == nil {
+			break
+		}
+
+		return e.ComplexityRoot.GlobalMetricListItem.Tooltip(childComplexity), true
 	case "GlobalMetricListItem.unit":
 		if e.ComplexityRoot.GlobalMetricListItem.Unit == nil {
 			break
@@ -1225,6 +1233,12 @@ func (e *executableSchema) Complexity(ctx context.Context, typeName, field strin
 		}
 
 		return e.ComplexityRoot.MetricConfig.Timestep(childComplexity), true
+	case "MetricConfig.tooltip":
+		if e.ComplexityRoot.MetricConfig.Tooltip == nil {
+			break
+		}
+
+		return e.ComplexityRoot.MetricConfig.Tooltip(childComplexity), true
 	case "MetricConfig.unit":
 		if e.ComplexityRoot.MetricConfig.Unit == nil {
 			break
@@ -2426,6 +2440,7 @@ type MetricConfig {
   alert: Float!
   lowerIsBetter: Boolean
   subClusters: [SubClusterConfig!]!
+  tooltip: String
 }
 
 type Tag {
@@ -2589,6 +2604,7 @@ type GlobalMetricListItem {
   unit: Unit!
   scope: MetricScope!
   footprint: String
+  tooltip: String
   availability: [ClusterSupport!]!
 }
 
@@ -2973,6 +2989,8 @@ func (ec *executionContext) childFields_GlobalMetricListItem(ctx context.Context
 		return ec.fieldContext_GlobalMetricListItem_scope(ctx, field)
 	case "footprint":
 		return ec.fieldContext_GlobalMetricListItem_footprint(ctx, field)
+	case "tooltip":
+		return ec.fieldContext_GlobalMetricListItem_tooltip(ctx, field)
 	case "availability":
 		return ec.fieldContext_GlobalMetricListItem_availability(ctx, field)
 	}
@@ -3203,6 +3221,8 @@ func (ec *executionContext) childFields_MetricConfig(ctx context.Context, field
 		return ec.fieldContext_MetricConfig_lowerIsBetter(ctx, field)
 	case "subClusters":
 		return ec.fieldContext_MetricConfig_subClusters(ctx, field)
+	case "tooltip":
+		return ec.fieldContext_MetricConfig_tooltip(ctx, field)
 	}
 	return nil, fmt.Errorf("no field named %q was found under type MetricConfig", field.Name)
 }
@@ -5187,6 +5207,29 @@ func (ec *executionContext) fieldContext_GlobalMetricListItem_footprint(_ contex
 	return graphql.NewScalarFieldContext("GlobalMetricListItem", field, false, false, errors.New("field of type String does not have child fields"))
 }
 
+func (ec *executionContext) _GlobalMetricListItem_tooltip(ctx context.Context, field graphql.CollectedField, obj *schema.GlobalMetricListItem) (ret graphql.Marshaler) {
+	return graphql.ResolveField(
+		ctx,
+		ec.OperationContext,
+		field,
+		func(ctx context.Context, field graphql.CollectedField) (*graphql.FieldContext, error) {
+			return ec.fieldContext_GlobalMetricListItem_tooltip(ctx, field)
+		},
+		func(ctx context.Context) (any, error) {
+			return obj.Tooltip, nil
+		},
+		nil,
+		func(ctx context.Context, selections ast.SelectionSet, v string) graphql.Marshaler {
+			return ec.marshalOString2string(ctx, selections, v)
+		},
+		true,
+		false,
+	)
+}
+func (ec *executionContext) fieldContext_GlobalMetricListItem_tooltip(_ context.Context, field graphql.CollectedField) (fc *graphql.FieldContext, err error) {
+	return graphql.NewScalarFieldContext("GlobalMetricListItem", field, false, false, errors.New("field of type String does not have child fields"))
+}
+
 func (ec *executionContext) _GlobalMetricListItem_availability(ctx context.Context, field graphql.CollectedField, obj *schema.GlobalMetricListItem) (ret graphql.Marshaler) {
 	return graphql.ResolveField(
 		ctx,
@@ -7377,6 +7420,29 @@ func (ec *executionContext) fieldContext_MetricConfig_subClusters(_ context.Cont
 	return fc, nil
 }
 
+func (ec *executionContext) _MetricConfig_tooltip(ctx context.Context, field graphql.CollectedField, obj *schema.MetricConfig) (ret graphql.Marshaler) {
+	return graphql.ResolveField(
+		ctx,
+		ec.OperationContext,
+		field,
+		func(ctx context.Context, field graphql.CollectedField) (*graphql.FieldContext, error) {
+			return ec.fieldContext_MetricConfig_tooltip(ctx, field)
+		},
+		func(ctx context.Context) (any, error) {
+			return obj.Tooltip, nil
+		},
+		nil,
+		func(ctx context.Context, selections ast.SelectionSet, v string) graphql.Marshaler {
+			return ec.marshalOString2string(ctx, selections, v)
+		},
+		true,
+		false,
+	)
+}
+func (ec *executionContext) fieldContext_MetricConfig_tooltip(_ context.Context, field graphql.CollectedField) (fc *graphql.FieldContext, err error) {
+	return graphql.NewScalarFieldContext("MetricConfig", field, false, false, errors.New("field of type String does not have child fields"))
+}
+
 func (ec *executionContext) _MetricFootprints_metric(ctx context.Context, field graphql.CollectedField, obj *model.MetricFootprints) (ret graphql.Marshaler) {
 	return graphql.ResolveField(
 		ctx,
@@ -13311,6 +13377,11 @@ func (ec *executionContext) _GlobalMetricListItem(ctx context.Context, sel ast.S
 			if out.Values[i] == graphql.RequiredNull {
 				out.Invalids++
 			}
+		case "tooltip":
+			out.Values[i] = ec._GlobalMetricListItem_tooltip(ctx, field, obj)
+			if out.Values[i] == graphql.RequiredNull {
+				out.Invalids++
+			}
 		case "availability":
 			out.Values[i] = ec._GlobalMetricListItem_availability(ctx, field, obj)
 			if out.Values[i] == graphql.Null {
@@ -14340,6 +14411,11 @@ func (ec *executionContext) _MetricConfig(ctx context.Context, sel ast.Selection
 			if out.Values[i] == graphql.Null {
 				out.Invalids++
 			}
+		case "tooltip":
+			out.Values[i] = ec._MetricConfig_tooltip(ctx, field, obj)
+			if out.Values[i] == graphql.RequiredNull {
+				out.Invalids++
+			}
 		default:
 			panic("unknown field " + strconv.Quote(field.Name))
 		}

internal/graph/schema.resolvers.go

@@ -528,7 +528,7 @@ func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []str
 	}
 
 	res := []*model.JobMetricWithName{}
-	for name, md := range data {
+	for name, md := range data.Metrics {
 		for scope, metric := range md {
 			res = append(res, &model.JobMetricWithName{
 				Name:   name,
@@ -581,7 +581,7 @@ func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics [
 	}
 
 	res := make([]*model.NamedStatsWithScope, 0)
-	for name, scoped := range data {
+	for name, scoped := range data.Metrics {
 		for scope, stats := range scoped {
 
 			mdlStats := make([]*model.ScopedStats, 0)
@@ -939,7 +939,7 @@ func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, sub
 			cclog.Warnf("error in nodeMetrics resolver: %s", err)
 		}
 
-		for metric, scopedMetrics := range data[hostname] {
+		for metric, scopedMetrics := range data[hostname].Metrics {
 			for scope, scopedMetric := range scopedMetrics {
 				host.Metrics = append(host.Metrics, &model.JobMetricWithName{
 					Name:   metric,

internal/graph/util.go

@@ -61,7 +61,7 @@ func (r *queryResolver) rooflineHeatmap(
 			return nil, err
 		}
 
-		flops_, membw_ := jobdata["flops_any"], jobdata["mem_bw"]
+		flops_, membw_ := jobdata.Metrics["flops_any"], jobdata.Metrics["mem_bw"]
 		if flops_ == nil && membw_ == nil {
 			cclog.Warnf("rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d", *job.ID)
 			continue

internal/importer/initDB.go

@@ -290,7 +290,7 @@ func SanityChecks(job *schema.Job) error {
 //
 // TODO: Either implement the metric normalization or remove this dead code.
 func checkJobData(d *schema.JobData) error {
-	for _, scopes := range *d {
+	for _, scopes := range d.Metrics {
 		// var newUnit schema.Unit
 		// TODO Add node scope if missing
 		for _, metric := range scopes {

internal/metricdispatch/dataLoader.go

@@ -117,7 +117,7 @@ func LoadData(job *schema.Job,
 
 			jd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)
 			if err != nil {
-				if len(jd) != 0 {
+				if len(jd.Metrics) != 0 {
 					cclog.Warnf("partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s",
 						job.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())
 				} else {
@@ -144,7 +144,7 @@ func LoadData(job *schema.Job,
 			if rfErr != nil {
 				return rfErr, 0, 0
 			}
-			for _, v := range jd {
+			for _, v := range jd.Metrics {
 				for _, v_ := range v {
 					timestep := int64(0)
 					for i := 0; i < len(v_.Series); i += 1 {
@@ -160,17 +160,20 @@ func LoadData(job *schema.Job,
 			// 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))
+					metrics = make([]string, 0, len(jd.Metrics))
-					for k := range jd {
+					for k := range jd.Metrics {
 						metrics = append(metrics, k)
 					}
 				}
 
-				res := schema.JobData{}
+				res := schema.JobData{
+					Metrics: make(map[string]schema.ScopedMetrics, len(metrics)),
+					Groups:  jd.Groups,
+				}
 				for _, metric := range metrics {
-					if perscope, ok := jd[metric]; ok {
+					if perscope, ok := jd.Metrics[metric]; ok {
 						if len(perscope) > 1 {
-							subset := make(map[schema.MetricScope]*schema.JobMetric)
+							subset := make(schema.ScopedMetrics)
 							for _, scope := range scopes {
 								if jm, ok := perscope[scope]; ok {
 									subset[scope] = jm
@@ -182,7 +185,7 @@ func LoadData(job *schema.Job,
 							}
 						}
 
-						res[metric] = perscope
+						res.Metrics[metric] = perscope
 					}
 				}
 				jd = res
@@ -199,7 +202,7 @@ func LoadData(job *schema.Job,
 		// 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 = 8
-		for _, scopes := range jd {
+		for _, scopes := range jd.Metrics {
 			for _, jm := range scopes {
 				if jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {
 					continue
@@ -229,7 +232,7 @@ func LoadData(job *schema.Job,
 
 	if err, ok := data.(error); ok {
 		cclog.Errorf("error in cached dataset for job %d: %s", job.JobID, err.Error())
-		return nil, err
+		return schema.JobData{}, err
 	}
 
 	return data.(schema.JobData), nil
@@ -296,14 +299,14 @@ func LoadScopedJobStats(
 	if err != nil {
 		cclog.Errorf("failed to access metricDataRepo for cluster %s-%s: %s",
 			job.Cluster, job.SubCluster, err.Error())
-		return nil, err
+		return schema.ScopedJobStats{}, err
 	}
 
 	scopedStats, err := ms.LoadScopedStats(job, metrics, scopes, ctx)
 	if err != nil {
 		cclog.Warnf("failed to load scoped statistics from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s",
 			job.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())
-		return nil, err
+		return schema.ScopedJobStats{}, err
 	}
 
 	// Round Resulting Stat Values
@@ -451,7 +454,7 @@ func LoadNodeListData(
 	// Statistics are calculated as min/median/max.
 	const maxSeriesSize int = 8
 	for _, jd := range data {
-		for _, scopes := range jd {
+		for _, scopes := range jd.Metrics {
 			for _, jm := range scopes {
 				if jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {
 					continue
@@ -472,14 +475,32 @@ func LoadNodeListData(
 // 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))
+	result := schema.JobData{Metrics: copyScopedMetrics(source.Metrics)}
+
+	for _, group := range source.Groups {
+		copied := schema.MetricGroup{Key: group.Key}
+		for _, inst := range group.Instances {
+			copied.Instances = append(copied.Instances, schema.MetricGroupInstance{
+				Name:    inst.Name,
+				Type:    inst.Type,
+				Metrics: copyScopedMetrics(inst.Metrics),
+			})
+		}
+		result.Groups = append(result.Groups, copied)
+	}
+
+	return result
+}
+
+func copyScopedMetrics(source map[string]schema.ScopedMetrics) map[string]schema.ScopedMetrics {
+	result := make(map[string]schema.ScopedMetrics, len(source))
 
 	for metricName, scopeMap := range source {
-		result[metricName] = make(map[schema.MetricScope]*schema.JobMetric, len(scopeMap))
+		scopes := make(schema.ScopedMetrics, len(scopeMap))
-
 		for scope, jobMetric := range scopeMap {
-			result[metricName][scope] = copyJobMetric(jobMetric)
+			scopes[scope] = copyJobMetric(jobMetric)
 		}
+		result[metricName] = scopes
 	}
 
 	return result

internal/metricdispatch/dataLoader_test.go

@@ -13,7 +13,7 @@ import (
 
 func TestDeepCopy(t *testing.T) {
 	nodeId := "0"
-	original := schema.JobData{
+	original := schema.JobData{Metrics: map[string]schema.ScopedMetrics{
 		"cpu_load": {
 			schema.MetricScopeNode: &schema.JobMetric{
 				Timestep: 60,
@@ -42,42 +42,42 @@ func TestDeepCopy(t *testing.T) {
 				},
 			},
 		},
-	}
+	}}
 
 	copied := deepCopy(original)
 
-	original["cpu_load"][schema.MetricScopeNode].Series[0].Data[0] = 999.0
+	original.Metrics["cpu_load"][schema.MetricScopeNode].Series[0].Data[0] = 999.0
-	original["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Min[0] = 888.0
+	original.Metrics["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Min[0] = 888.0
-	original["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles[25][0] = 777.0
+	original.Metrics["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles[25][0] = 777.0
 
-	if copied["cpu_load"][schema.MetricScopeNode].Series[0].Data[0] != 1.0 {
+	if copied.Metrics["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])
+			copied.Metrics["cpu_load"][schema.MetricScopeNode].Series[0].Data[0])
 	}
 
-	if copied["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Min[0] != 1.0 {
+	if copied.Metrics["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])
+			copied.Metrics["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Min[0])
 	}
 
-	if copied["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles[25][0] != 1.5 {
+	if copied.Metrics["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])
+			copied.Metrics["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles[25][0])
 	}
 
-	if copied["cpu_load"][schema.MetricScopeNode].Timestep != 60 {
+	if copied.Metrics["cpu_load"][schema.MetricScopeNode].Timestep != 60 {
 		t.Errorf("Timestep not copied correctly: got %v, want 60",
-			copied["cpu_load"][schema.MetricScopeNode].Timestep)
+			copied.Metrics["cpu_load"][schema.MetricScopeNode].Timestep)
 	}
 
-	if copied["cpu_load"][schema.MetricScopeNode].Series[0].Hostname != "node001" {
+	if copied.Metrics["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)
+			copied.Metrics["cpu_load"][schema.MetricScopeNode].Series[0].Hostname)
 	}
 }
 
 func TestDeepCopyNilStatisticsSeries(t *testing.T) {
-	original := schema.JobData{
+	original := schema.JobData{Metrics: map[string]schema.ScopedMetrics{
 		"mem_used": {
 			schema.MetricScopeNode: &schema.JobMetric{
 				Timestep: 60,
@@ -90,18 +90,18 @@ func TestDeepCopyNilStatisticsSeries(t *testing.T) {
 				StatisticsSeries: nil,
 			},
 		},
-	}
+	}}
 
 	copied := deepCopy(original)
 
-	if copied["mem_used"][schema.MetricScopeNode].StatisticsSeries != nil {
+	if copied.Metrics["mem_used"][schema.MetricScopeNode].StatisticsSeries != nil {
 		t.Errorf("StatisticsSeries should be nil, got %v",
-			copied["mem_used"][schema.MetricScopeNode].StatisticsSeries)
+			copied.Metrics["mem_used"][schema.MetricScopeNode].StatisticsSeries)
 	}
 }
 
 func TestDeepCopyEmptyPercentiles(t *testing.T) {
-	original := schema.JobData{
+	original := schema.JobData{Metrics: map[string]schema.ScopedMetrics{
 		"cpu_load": {
 			schema.MetricScopeNode: &schema.JobMetric{
 				Timestep: 60,
@@ -115,11 +115,11 @@ func TestDeepCopyEmptyPercentiles(t *testing.T) {
 				},
 			},
 		},
-	}
+	}}
 
 	copied := deepCopy(original)
 
-	if copied["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles != nil {
+	if copied.Metrics["cpu_load"][schema.MetricScopeNode].StatisticsSeries.Percentiles != nil {
 		t.Errorf("Percentiles should be nil when source is nil/empty")
 	}
 }

internal/metricstoreclient/cc-metric-store.go

@@ -235,7 +235,7 @@ func (ccms *CCMetricStore) LoadData(
 	queries, assignedScope, err := ccms.buildQueries(job, metrics, scopes, 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
+		return schema.JobData{}, err
 	}
 
 	// Verify assignment is correct - log any inconsistencies for debugging
@@ -256,11 +256,11 @@ func (ccms *CCMetricStore) LoadData(
 	resBody, err := ccms.doRequest(ctx, &req)
 	if err != nil {
 		cclog.Errorf("Error while performing request for job %d: %s", job.JobID, err.Error())
-		return nil, err
+		return schema.JobData{}, err
 	}
 
 	var errors []string
-	jobData := make(schema.JobData)
+	jobData := schema.JobData{Metrics: make(map[string]schema.ScopedMetrics)}
 
 	// Add safety check for potential index out of range errors
 	if len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {
@@ -285,8 +285,8 @@ func (ccms *CCMetricStore) LoadData(
 			continue
 		}
 
-		if _, ok := jobData[metric]; !ok {
+		if _, ok := jobData.Metrics[metric]; !ok {
-			jobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)
+			jobData.Metrics[metric] = make(schema.ScopedMetrics)
 		}
 
 		res := mc.Timestep
@@ -294,14 +294,14 @@ func (ccms *CCMetricStore) LoadData(
 			res = row[0].Resolution
 		}
 
-		jobMetric, ok := jobData[metric][scope]
+		jobMetric, ok := jobData.Metrics[metric][scope]
 		if !ok {
 			jobMetric = &schema.JobMetric{
 				Unit:     mc.Unit,
 				Timestep: res,
 				Series:   make([]schema.Series, 0),
 			}
-			jobData[metric][scope] = jobMetric
+			jobData.Metrics[metric][scope] = jobMetric
 		}
 
 		for ndx, res := range row {
@@ -329,9 +329,9 @@ func (ccms *CCMetricStore) LoadData(
 
 		// So that one can later check len(jobData):
 		if len(jobMetric.Series) == 0 {
-			delete(jobData[metric], scope)
+			delete(jobData.Metrics[metric], scope)
-			if len(jobData[metric]) == 0 {
+			if len(jobData.Metrics[metric]) == 0 {
-				delete(jobData, metric)
+				delete(jobData.Metrics, metric)
 			}
 		}
 	}
@@ -426,7 +426,7 @@ func (ccms *CCMetricStore) LoadScopedStats(
 	queries, assignedScope, err := ccms.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
+		return schema.ScopedJobStats{}, err
 	}
 
 	req := APIQueryRequest{
@@ -441,23 +441,23 @@ func (ccms *CCMetricStore) LoadScopedStats(
 	resBody, err := ccms.doRequest(ctx, &req)
 	if err != nil {
 		cclog.Errorf("Error while performing request for job %d: %s", job.JobID, err.Error())
-		return nil, err
+		return schema.ScopedJobStats{}, err
 	}
 
 	var errors []string
-	scopedJobStats := make(schema.ScopedJobStats)
+	scopedJobStats := schema.ScopedJobStats{Metrics: make(map[string]schema.ScopedMetricStats)}
 
 	for i, row := range resBody.Results {
 		query := req.Queries[i]
 		metric := query.Metric
 		scope := assignedScope[i]
 
-		if _, ok := scopedJobStats[metric]; !ok {
+		if _, ok := scopedJobStats.Metrics[metric]; !ok {
-			scopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)
+			scopedJobStats.Metrics[metric] = make(schema.ScopedMetricStats)
 		}
 
-		if _, ok := scopedJobStats[metric][scope]; !ok {
+		if _, ok := scopedJobStats.Metrics[metric][scope]; !ok {
-			scopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)
+			scopedJobStats.Metrics[metric][scope] = make([]*schema.ScopedStats, 0)
 		}
 
 		for ndx, res := range row {
@@ -471,7 +471,7 @@ func (ccms *CCMetricStore) LoadScopedStats(
 
 			ms.SanitizeStats(&res.Avg, &res.Min, &res.Max)
 
-			scopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{
+			scopedJobStats.Metrics[metric][scope] = append(scopedJobStats.Metrics[metric][scope], &schema.ScopedStats{
 				Hostname: query.Hostname,
 				ID:       id,
 				Data: &schema.MetricStatistics{
@@ -483,10 +483,10 @@ func (ccms *CCMetricStore) LoadScopedStats(
 		}
 
 		// So that one can later check len(scopedJobStats[metric][scope]): Remove from map if empty
-		if len(scopedJobStats[metric][scope]) == 0 {
+		if len(scopedJobStats.Metrics[metric][scope]) == 0 {
-			delete(scopedJobStats[metric], scope)
+			delete(scopedJobStats.Metrics[metric], scope)
-			if len(scopedJobStats[metric]) == 0 {
+			if len(scopedJobStats.Metrics[metric]) == 0 {
-				delete(scopedJobStats, metric)
+				delete(scopedJobStats.Metrics, metric)
 			}
 		}
 	}
@@ -691,14 +691,14 @@ func (ccms *CCMetricStore) LoadNodeListData(
 		// Init Nested Map Data Structures If Not Found
 		hostData, ok := data[query.Hostname]
 		if !ok {
-			hostData = make(schema.JobData)
+			hostData = schema.JobData{Metrics: make(map[string]schema.ScopedMetrics)}
 			data[query.Hostname] = hostData
 		}
 
-		metricData, ok := hostData[metric]
+		metricData, ok := hostData.Metrics[metric]
 		if !ok {
-			metricData = make(map[schema.MetricScope]*schema.JobMetric)
+			metricData = make(schema.ScopedMetrics)
-			data[query.Hostname][metric] = metricData
+			hostData.Metrics[metric] = metricData
 		}
 
 		scopeData, ok := metricData[scope]
@@ -708,7 +708,7 @@ func (ccms *CCMetricStore) LoadNodeListData(
 				Timestep: res,
 				Series:   make([]schema.Series, 0),
 			}
-			data[query.Hostname][metric][scope] = scopeData
+			metricData[scope] = scopeData
 		}
 
 		for ndx, res := range row {

internal/repository/stats.go

@@ -403,7 +403,7 @@ func (r *JobRepository) JobsStats(
 //
 // Returns the requested statistic value or 0.0 if not found.
 func LoadJobStat(job *schema.Job, metric string, statType string) float64 {
-	if stats, ok := job.Statistics[metric]; ok {
+	if stats, ok := job.Statistics.Metrics[metric]; ok {
 		switch statType {
 		case "avg":
 			return stats.Avg

internal/tagger/classifyJob.go

@@ -107,7 +107,7 @@ type JobClassTagger struct {
 	// repo provides access to job database operations
 	repo JobRepository
 	// getStatistics retrieves job statistics for analysis
-	getStatistics func(job *schema.Job) (map[string]schema.JobStatistics, error)
+	getStatistics func(job *schema.Job) (schema.JobStatisticsSet, error)
 	// getMetricConfig retrieves metric configuration (limits) for a cluster
 	getMetricConfig func(cluster, subCluster string) map[string]*schema.Metric
 }
@@ -361,7 +361,7 @@ func (t *JobClassTagger) Match(job *schema.Job) {
 		// add metrics to env
 		skipRule := false
 		for _, m := range ri.metrics {
-			stats, ok := jobStats[m]
+			stats, ok := jobStats.Metrics[m]
 			if !ok {
 				cclog.Debugf("job classification: missing metric '%s' for rule %s on job %d", m, tag, job.JobID)
 				skipRule = true

internal/tagger/classifyJob_test.go

@@ -64,10 +64,10 @@ func TestClassifyJobMatch(t *testing.T) {
 		parameters: make(map[string]any),
 		tagType:    "jobClass",
 		repo:       mockRepo,
-		getStatistics: func(job *schema.Job) (map[string]schema.JobStatistics, error) {
+		getStatistics: func(job *schema.Job) (schema.JobStatisticsSet, error) {
-			return map[string]schema.JobStatistics{
+			return schema.JobStatisticsSet{Metrics: map[string]schema.JobStatistics{
 				"flops_any": {Min: 0, Max: 200, Avg: 150},
-			}, nil
+			}}, nil
 		},
 		getMetricConfig: func(cluster, subCluster string) map[string]*schema.Metric {
 			return map[string]*schema.Metric{
@@ -120,10 +120,10 @@ func TestMatch_NoMatch(t *testing.T) {
 		parameters: make(map[string]any),
 		tagType:    "jobClass",
 		repo:       mockRepo,
-		getStatistics: func(job *schema.Job) (map[string]schema.JobStatistics, error) {
+		getStatistics: func(job *schema.Job) (schema.JobStatisticsSet, error) {
-			return map[string]schema.JobStatistics{
+			return schema.JobStatisticsSet{Metrics: map[string]schema.JobStatistics{
 				"flops_any": {Min: 0, Max: 50, Avg: 20}, // Avg 20 < 100
-			}, nil
+			}}, nil
 		},
 		getMetricConfig: func(cluster, subCluster string) map[string]*schema.Metric {
 			return map[string]*schema.Metric{

internal/taskmanager/updateFootprintService.go

@@ -80,7 +80,7 @@ func RegisterFootprintWorker() {
 							continue
 						}
 
-						job.Statistics = make(map[string]schema.JobStatistics)
+						job.Statistics = schema.JobStatisticsSet{Metrics: make(map[string]schema.JobStatistics, len(allMetrics))}
 
 						for _, metric := range allMetrics {
 							avg, min, max := 0.0, 0.0, 0.0
@@ -98,7 +98,7 @@ func RegisterFootprintWorker() {
 							}
 
 							// Add values rounded to 2 digits: repo.LoadStats may return unrounded
-							job.Statistics[metric] = schema.JobStatistics{
+							job.Statistics.Metrics[metric] = schema.JobStatistics{
 								Unit: schema.Unit{
 									Prefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,
 									Base:   archive.GetMetricConfig(job.Cluster, metric).Unit.Base,

pkg/archive/archive.go

@@ -299,7 +299,7 @@ func LoadAveragesFromArchive(
 	}
 
 	for i, m := range metrics {
-		if stat, ok := metaFile.Statistics[m]; ok {
+		if stat, ok := metaFile.Statistics.Metrics[m]; ok {
 			data[i] = append(data[i], schema.Float(stat.Avg))
 		} else {
 			data[i] = append(data[i], schema.NaN)
@@ -323,7 +323,7 @@ func LoadStatsFromArchive(
 	}
 
 	for _, m := range metrics {
-		stat, ok := metaFile.Statistics[m]
+		stat, ok := metaFile.Statistics.Metrics[m]
 		if !ok {
 			data[m] = schema.MetricStatistics{Min: 0.0, Avg: 0.0, Max: 0.0}
 			continue
@@ -349,19 +349,19 @@ func LoadScopedStatsFromArchive(
 	data, err := ar.LoadJobStats(job)
 	if err != nil {
 		cclog.Errorf("Error while loading job stats from archiveBackend: %s", err.Error())
-		return nil, err
+		return schema.ScopedJobStats{}, err
 	}
 
 	return data, nil
 }
 
-// GetStatistics returns all metric statistics for a job.
+// GetStatistics returns all metric statistics for a job, including the
-// Returns a map of metric names to their job-level statistics.
+// array-valued statistics groups (e.g. filesystems).
-func GetStatistics(job *schema.Job) (map[string]schema.JobStatistics, error) {
+func GetStatistics(job *schema.Job) (schema.JobStatisticsSet, error) {
 	metaFile, err := ar.LoadJobMeta(job)
 	if err != nil {
 		cclog.Errorf("Error while loading job metadata from archiveBackend: %s", err.Error())
-		return nil, err
+		return schema.JobStatisticsSet{}, err
 	}
 
 	return metaFile.Statistics, nil

pkg/archive/clusterConfig.go

@@ -63,8 +63,11 @@ func initClusterConfig() error {
 
 			if _, ok := metricLookup[mc.Name]; !ok {
 				metricLookup[mc.Name] = schema.GlobalMetricListItem{
-					Name: mc.Name, Scope: mc.Scope, Unit: mc.Unit, Footprint: mc.Footprint,
+					Name: mc.Name, Scope: mc.Scope, Unit: mc.Unit, Footprint: mc.Footprint, Tooltip: mc.Tooltip,
 				}
+			} else if item := metricLookup[mc.Name]; item.Tooltip == "" && mc.Tooltip != "" {
+				item.Tooltip = mc.Tooltip
+				metricLookup[mc.Name] = item
 			}
 
 			availability := schema.ClusterSupport{Cluster: cluster.Name}
@@ -139,8 +142,10 @@ func initClusterConfig() error {
 				userItem, ok := userMetricLookup[mc.Name]
 				if !ok {
 					userItem = schema.GlobalMetricListItem{
-						Name: mc.Name, Scope: mc.Scope, Unit: mc.Unit, Footprint: mc.Footprint,
+						Name: mc.Name, Scope: mc.Scope, Unit: mc.Unit, Footprint: mc.Footprint, Tooltip: mc.Tooltip,
 					}
+				} else if userItem.Tooltip == "" && mc.Tooltip != "" {
+					userItem.Tooltip = mc.Tooltip
 				}
 				userItem.Availability = append(userItem.Availability, userAvailability)
 				userMetricLookup[mc.Name] = userItem

pkg/archive/fsBackend.go

@@ -93,7 +93,7 @@ func loadJobData(filename string, isCompressed bool) (schema.JobData, error) {
 	f, err := os.Open(filename)
 	if err != nil {
 		cclog.Errorf("fsBackend LoadJobData()- %v", err)
-		return nil, err
+		return schema.JobData{}, err
 	}
 	defer f.Close()
 
@@ -101,7 +101,7 @@ func loadJobData(filename string, isCompressed bool) (schema.JobData, error) {
 		r, err := gzip.NewReader(f)
 		if err != nil {
 			cclog.Errorf(" %v", err)
-			return nil, err
+			return schema.JobData{}, err
 		}
 		defer r.Close()
 
@@ -126,7 +126,7 @@ func loadJobStats(filename string, isCompressed bool) (schema.ScopedJobStats, er
 	f, err := os.Open(filename)
 	if err != nil {
 		cclog.Errorf("fsBackend LoadJobStats()- %v", err)
-		return nil, err
+		return schema.ScopedJobStats{}, err
 	}
 	defer f.Close()
 
@@ -134,13 +134,13 @@ func loadJobStats(filename string, isCompressed bool) (schema.ScopedJobStats, er
 		r, err := gzip.NewReader(f)
 		if err != nil {
 			cclog.Errorf(" %v", err)
-			return nil, err
+			return schema.ScopedJobStats{}, err
 		}
 		defer r.Close()
 
 		if config.Keys.Validate {
 			if err := schema.Validate(schema.Data, r); err != nil {
-				return nil, fmt.Errorf("validate job data: %v", err)
+				return schema.ScopedJobStats{}, fmt.Errorf("validate job data: %v", err)
 			}
 		}
 
@@ -148,7 +148,7 @@ func loadJobStats(filename string, isCompressed bool) (schema.ScopedJobStats, er
 	} else {
 		if config.Keys.Validate {
 			if err := schema.Validate(schema.Data, bufio.NewReader(f)); err != nil {
-				return nil, fmt.Errorf("validate job data: %v", err)
+				return schema.ScopedJobStats{}, fmt.Errorf("validate job data: %v", err)
 			}
 		}
 		return DecodeJobStats(bufio.NewReader(f), filename)

pkg/archive/fsBackend_test.go

@@ -129,7 +129,7 @@ func TestLoadJobData(t *testing.T) {
 		t.Fatal(err)
 	}
 
-	for _, scopes := range data {
+	for _, scopes := range data.Metrics {
 		// fmt.Printf("Metric name: %s\n", name)
 
 		if _, exists := scopes[schema.MetricScopeNode]; !exists {

pkg/archive/json.go

@@ -27,7 +27,7 @@ func DecodeJobData(r io.Reader, k string) (schema.JobData, error) {
 
 	if err, ok := data.(error); ok {
 		cclog.Warn("Error in decoded job data set")
-		return nil, err
+		return schema.JobData{}, err
 	}
 
 	return data.(schema.JobData), nil
@@ -35,39 +35,59 @@ func DecodeJobData(r io.Reader, k string) (schema.JobData, error) {
 
 func DecodeJobStats(r io.Reader, k string) (schema.ScopedJobStats, error) {
 	jobData, err := DecodeJobData(r, k)
+	if err != nil {
+		return schema.ScopedJobStats{}, err
+	}
+
 	// Convert schema.JobData to schema.ScopedJobStats
-	if jobData != nil {
+	scopedJobStats := schema.ScopedJobStats{
-		scopedJobStats := make(schema.ScopedJobStats)
+		Metrics: scopedStatsFromMetrics(jobData.Metrics),
-		for metric, metricData := range jobData {
-			if _, ok := scopedJobStats[metric]; !ok {
-				scopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)
 	}
 
-			for scope, jobMetric := range metricData {
+	for _, group := range jobData.Groups {
-				if _, ok := scopedJobStats[metric][scope]; !ok {
+		statsGroup := schema.ScopedStatsGroup{Key: group.Key}
-					scopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)
+		for _, inst := range group.Instances {
-				}
+			statsGroup.Instances = append(statsGroup.Instances, schema.ScopedStatsGroupInstance{
-
+				Name:    inst.Name,
-				for _, series := range jobMetric.Series {
+				Type:    inst.Type,
-					scopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{
+				Metrics: scopedStatsFromMetrics(inst.Metrics),
-						Hostname: series.Hostname,
-						ID:       series.ID,
-						Data:     &series.Statistics,
 			})
 		}
+		scopedJobStats.Groups = append(scopedJobStats.Groups, statsGroup)
+	}
 
-				// So that one can later check len(scopedJobStats[metric][scope]): Remove from map if empty
-				if len(scopedJobStats[metric][scope]) == 0 {
-					delete(scopedJobStats[metric], scope)
-					if len(scopedJobStats[metric]) == 0 {
-						delete(scopedJobStats, metric)
-					}
-				}
-			}
-		}
 	return scopedJobStats, nil
 }
-	return nil, err
+
+// scopedStatsFromMetrics reduces the full time series of every metric/scope to
+// the per-series statistics. Scopes without any series are dropped so that
+// callers can rely on len(stats[metric][scope]) being non-zero when present.
+func scopedStatsFromMetrics(metrics map[string]schema.ScopedMetrics) map[string]schema.ScopedMetricStats {
+	stats := make(map[string]schema.ScopedMetricStats, len(metrics))
+	for metric, metricData := range metrics {
+		scoped := make(schema.ScopedMetricStats, len(metricData))
+		for scope, jobMetric := range metricData {
+			if len(jobMetric.Series) == 0 {
+				continue
+			}
+
+			series := make([]*schema.ScopedStats, 0, len(jobMetric.Series))
+			for i := range jobMetric.Series {
+				series = append(series, &schema.ScopedStats{
+					Hostname: jobMetric.Series[i].Hostname,
+					ID:       jobMetric.Series[i].ID,
+					Data:     &jobMetric.Series[i].Statistics,
+				})
+			}
+			scoped[scope] = series
+		}
+
+		if len(scoped) > 0 {
+			stats[metric] = scoped
+		}
+	}
+
+	return stats
 }
 
 func DecodeJobMeta(r io.Reader) (*schema.Job, error) {

pkg/archive/parquet/convert.go

@@ -23,7 +23,7 @@ func JobToParquetRow(meta *schema.Job, data *schema.JobData) (*ParquetJobRow, er
 	}
 
 	var statisticsJSON []byte
-	if meta.Statistics != nil {
+	if len(meta.Statistics.Metrics) > 0 || len(meta.Statistics.Groups) > 0 {
 		statisticsJSON, err = json.Marshal(meta.Statistics)
 		if err != nil {
 			return nil, fmt.Errorf("marshal statistics: %w", err)

pkg/archive/parquet/convert_test.go

@@ -32,9 +32,9 @@ func TestParquetRowToJob(t *testing.T) {
 			{Hostname: "node001", HWThreads: []int{0, 1, 2, 3}},
 			{Hostname: "node002", HWThreads: []int{4, 5, 6, 7}},
 		},
-		Statistics: map[string]schema.JobStatistics{
+		Statistics: schema.JobStatisticsSet{Metrics: map[string]schema.JobStatistics{
 			"cpu_load": {Avg: 50.0, Min: 10.0, Max: 90.0},
-		},
+		}},
 		Tags: []*schema.Tag{
 			{Type: "test", Name: "tag1"},
 		},
@@ -49,7 +49,7 @@ func TestParquetRowToJob(t *testing.T) {
 		},
 	}
 
-	data := &schema.JobData{
+	data := &schema.JobData{Metrics: map[string]schema.ScopedMetrics{
 		"cpu_load": {
 			schema.MetricScopeNode: &schema.JobMetric{
 				Unit:     schema.Unit{Base: ""},
@@ -62,7 +62,7 @@ func TestParquetRowToJob(t *testing.T) {
 				},
 			},
 		},
-	}
+	}}
 
 	// Convert to parquet row
 	row, err := JobToParquetRow(meta, data)
@@ -134,10 +134,10 @@ func TestParquetRowToJob(t *testing.T) {
 		t.Errorf("Resources[0].HWThreads len = %d, want 4", len(gotMeta.Resources[0].HWThreads))
 	}
 
-	if len(gotMeta.Statistics) != 1 {
+	if len(gotMeta.Statistics.Metrics) != 1 {
-		t.Fatalf("Statistics len = %d, want 1", len(gotMeta.Statistics))
+		t.Fatalf("Statistics len = %d, want 1", len(gotMeta.Statistics.Metrics))
 	}
-	if stat, ok := gotMeta.Statistics["cpu_load"]; !ok {
+	if stat, ok := gotMeta.Statistics.Metrics["cpu_load"]; !ok {
 		t.Error("Statistics missing cpu_load")
 	} else if stat.Avg != 50.0 {
 		t.Errorf("Statistics[cpu_load].Avg = %f, want 50.0", stat.Avg)
@@ -163,7 +163,7 @@ func TestParquetRowToJob(t *testing.T) {
 	if gotData == nil {
 		t.Fatal("JobData is nil")
 	}
-	cpuLoad, ok := (*gotData)["cpu_load"]
+	cpuLoad, ok := gotData.Metrics["cpu_load"]
 	if !ok {
 		t.Fatal("JobData missing cpu_load")
 	}
@@ -201,7 +201,7 @@ func TestParquetRowToJobNilOptionalFields(t *testing.T) {
 		},
 	}
 
-	data := &schema.JobData{
+	data := &schema.JobData{Metrics: map[string]schema.ScopedMetrics{
 		"cpu_load": {
 			schema.MetricScopeNode: &schema.JobMetric{
 				Timestep: 60,
@@ -210,7 +210,7 @@ func TestParquetRowToJobNilOptionalFields(t *testing.T) {
 				},
 			},
 		},
-	}
+	}}
 
 	row, err := JobToParquetRow(meta, data)
 	if err != nil {
@@ -228,8 +228,8 @@ func TestParquetRowToJobNilOptionalFields(t *testing.T) {
 	if gotMeta.Tags != nil {
 		t.Errorf("Tags should be nil, got %v", gotMeta.Tags)
 	}
-	if gotMeta.Statistics != nil {
+	if len(gotMeta.Statistics.Metrics) != 0 || len(gotMeta.Statistics.Groups) != 0 {
-		t.Errorf("Statistics should be nil, got %v", gotMeta.Statistics)
+		t.Errorf("Statistics should be empty, got %v", gotMeta.Statistics)
 	}
 	if gotMeta.MetaData != nil {
 		t.Errorf("MetaData should be nil, got %v", gotMeta.MetaData)
@@ -299,7 +299,7 @@ func TestRoundTripThroughParquetFile(t *testing.T) {
 	if gotData == nil {
 		t.Fatal("JobData is nil")
 	}
-	if _, ok := (*gotData)["cpu_load"]; !ok {
+	if _, ok := gotData.Metrics["cpu_load"]; !ok {
 		t.Error("JobData missing cpu_load")
 	}
 }

pkg/archive/parquet/writer_test.go

@@ -57,7 +57,7 @@ func makeTestJob(jobID int64) (*schema.Job, *schema.JobData) {
 		},
 	}
 
-	data := schema.JobData{
+	data := schema.JobData{Metrics: map[string]schema.ScopedMetrics{
 		"cpu_load": {
 			schema.MetricScopeNode: &schema.JobMetric{
 				Unit:     schema.Unit{Base: ""},
@@ -70,7 +70,7 @@ func makeTestJob(jobID int64) (*schema.Job, *schema.JobData) {
 				},
 			},
 		},
-	}
+	}}
 
 	return meta, &data
 }
@@ -132,7 +132,7 @@ func TestJobToParquetRowConversion(t *testing.T) {
 	if err := json.Unmarshal(decompressed, &jobData); err != nil {
 		t.Fatalf("unmarshal metric data: %v", err)
 	}
-	if _, ok := jobData["cpu_load"]; !ok {
+	if _, ok := jobData.Metrics["cpu_load"]; !ok {
 		t.Error("metric data missing cpu_load key")
 	}
 }

pkg/archive/s3Backend.go

@@ -330,7 +330,7 @@ func (s3a *S3Archive) LoadJobData(job *schema.Job) (schema.JobData, error) {
 		})
 		if err != nil {
 			cclog.Errorf("S3Archive LoadJobData() > GetObject error: %v", err)
-			return nil, err
+			return schema.JobData{}, err
 		}
 		defer result.Body.Close()
 
@@ -349,7 +349,7 @@ func (s3a *S3Archive) LoadJobData(job *schema.Job) (schema.JobData, error) {
 	r, err := gzip.NewReader(result.Body)
 	if err != nil {
 		cclog.Errorf("S3Archive LoadJobData() > gzip error: %v", err)
-		return nil, err
+		return schema.JobData{}, err
 	}
 	defer r.Close()
 
@@ -381,14 +381,14 @@ func (s3a *S3Archive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, erro
 		})
 		if err != nil {
 			cclog.Errorf("S3Archive LoadJobStats() > GetObject error: %v", err)
-			return nil, err
+			return schema.ScopedJobStats{}, err
 		}
 		defer result.Body.Close()
 
 		if config.Keys.Validate {
 			b, _ := io.ReadAll(result.Body)
 			if err := schema.Validate(schema.Data, bytes.NewReader(b)); err != nil {
-				return nil, fmt.Errorf("validate job data: %v", err)
+				return schema.ScopedJobStats{}, fmt.Errorf("validate job data: %v", err)
 			}
 			return DecodeJobStats(bytes.NewReader(b), key)
 		}
@@ -400,14 +400,14 @@ func (s3a *S3Archive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, erro
 	r, err := gzip.NewReader(result.Body)
 	if err != nil {
 		cclog.Errorf("S3Archive LoadJobStats() > gzip error: %v", err)
-		return nil, err
+		return schema.ScopedJobStats{}, err
 	}
 	defer r.Close()
 
 	if config.Keys.Validate {
 		b, _ := io.ReadAll(r)
 		if err := schema.Validate(schema.Data, bytes.NewReader(b)); err != nil {
-			return nil, fmt.Errorf("validate job data: %v", err)
+			return schema.ScopedJobStats{}, fmt.Errorf("validate job data: %v", err)
 		}
 		return DecodeJobStats(bytes.NewReader(b), keyGz)
 	}

pkg/archive/sqliteBackend.go

@@ -252,7 +252,7 @@ func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {
 		job.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)
 	if err != nil {
 		cclog.Errorf("SqliteArchive LoadJobData() > query error: %v", err)
-		return nil, err
+		return schema.JobData{}, err
 	}
 	key := fmt.Sprintf("%s:%d:%d", job.Cluster, job.JobID, job.StartTime)
 
@@ -261,7 +261,7 @@ func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {
 		gzipReader, err := gzip.NewReader(reader)
 		if err != nil {
 			cclog.Errorf("SqliteArchive LoadJobData() > gzip error: %v", err)
-			return nil, err
+			return schema.JobData{}, err
 		}
 		defer gzipReader.Close()
 		reader = gzipReader
@@ -285,7 +285,7 @@ func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, e
 		job.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)
 	if err != nil {
 		cclog.Errorf("SqliteArchive LoadJobStats() > query error: %v", err)
-		return nil, err
+		return schema.ScopedJobStats{}, err
 	}
 	key := fmt.Sprintf("%s:%d:%d", job.Cluster, job.JobID, job.StartTime)
 
@@ -294,7 +294,7 @@ func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, e
 		gzipReader, err := gzip.NewReader(reader)
 		if err != nil {
 			cclog.Errorf("SqliteArchive LoadJobStats() > gzip error: %v", err)
-			return nil, err
+			return schema.ScopedJobStats{}, err
 		}
 		defer gzipReader.Close()
 		reader = gzipReader
@@ -303,7 +303,7 @@ func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, e
 	if config.Keys.Validate {
 		data, _ := io.ReadAll(reader)
 		if err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {
-			return nil, fmt.Errorf("validate job data: %v", err)
+			return schema.ScopedJobStats{}, fmt.Errorf("validate job data: %v", err)
 		}
 		return DecodeJobStats(bytes.NewReader(data), key)
 	}

pkg/metricstore/query.go

@@ -89,7 +89,7 @@ func (ccms *InternalMetricStore) LoadData(
 	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
+		return schema.JobData{}, err
 	}
 
 	// Verify assignment is correct - log any inconsistencies for debugging
@@ -110,11 +110,11 @@ func (ccms *InternalMetricStore) LoadData(
 	resBody, err := FetchData(req)
 	if err != nil {
 		cclog.Errorf("Error while fetching data : %s", err.Error())
-		return nil, err
+		return schema.JobData{}, err
 	}
 
 	var errors []string
-	jobData := make(schema.JobData)
+	jobData := schema.JobData{Metrics: make(map[string]schema.ScopedMetrics)}
 
 	// Add safety check for potential index out of range errors
 	if len(resBody.Results) != len(req.Queries) || len(assignedScope) != len(req.Queries) {
@@ -139,8 +139,8 @@ func (ccms *InternalMetricStore) LoadData(
 			continue
 		}
 
-		if _, ok := jobData[metric]; !ok {
+		if _, ok := jobData.Metrics[metric]; !ok {
-			jobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)
+			jobData.Metrics[metric] = make(schema.ScopedMetrics)
 		}
 
 		res := mc.Timestep
@@ -148,14 +148,14 @@ func (ccms *InternalMetricStore) LoadData(
 			res = int(row[0].Resolution)
 		}
 
-		jobMetric, ok := jobData[metric][scope]
+		jobMetric, ok := jobData.Metrics[metric][scope]
 		if !ok {
 			jobMetric = &schema.JobMetric{
 				Unit:     mc.Unit,
 				Timestep: res,
 				Series:   make([]schema.Series, 0),
 			}
-			jobData[metric][scope] = jobMetric
+			jobData.Metrics[metric][scope] = jobMetric
 		}
 
 		for ndx, res := range row {
@@ -181,11 +181,11 @@ func (ccms *InternalMetricStore) LoadData(
 			})
 		}
 
-		// So that one can later check len(jobData):
+		// So that one can later check len(jobData.Metrics):
 		if len(jobMetric.Series) == 0 {
-			delete(jobData[metric], scope)
+			delete(jobData.Metrics[metric], scope)
-			if len(jobData[metric]) == 0 {
+			if len(jobData.Metrics[metric]) == 0 {
-				delete(jobData, metric)
+				delete(jobData.Metrics, metric)
 			}
 		}
 	}
@@ -407,7 +407,7 @@ func (ccms *InternalMetricStore) LoadScopedStats(
 	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
+		return schema.ScopedJobStats{}, err
 	}
 
 	req := APIQueryRequest{
@@ -422,11 +422,11 @@ func (ccms *InternalMetricStore) LoadScopedStats(
 	resBody, err := FetchData(req)
 	if err != nil {
 		cclog.Errorf("Error while fetching data : %s", err.Error())
-		return nil, err
+		return schema.ScopedJobStats{}, err
 	}
 
 	var errors []string
-	scopedJobStats := make(schema.ScopedJobStats)
+	scopedJobStats := schema.ScopedJobStats{Metrics: make(map[string]schema.ScopedMetricStats)}
 
 	for i, row := range resBody.Results {
 		if len(row) == 0 {
@@ -437,12 +437,12 @@ func (ccms *InternalMetricStore) LoadScopedStats(
 		metric := query.Metric
 		scope := assignedScope[i]
 
-		if _, ok := scopedJobStats[metric]; !ok {
+		if _, ok := scopedJobStats.Metrics[metric]; !ok {
-			scopedJobStats[metric] = make(map[schema.MetricScope][]*schema.ScopedStats)
+			scopedJobStats.Metrics[metric] = make(schema.ScopedMetricStats)
 		}
 
-		if _, ok := scopedJobStats[metric][scope]; !ok {
+		if _, ok := scopedJobStats.Metrics[metric][scope]; !ok {
-			scopedJobStats[metric][scope] = make([]*schema.ScopedStats, 0)
+			scopedJobStats.Metrics[metric][scope] = make([]*schema.ScopedStats, 0)
 		}
 
 		for ndx, res := range row {
@@ -456,7 +456,7 @@ func (ccms *InternalMetricStore) LoadScopedStats(
 
 			SanitizeStats(&res.Avg, &res.Min, &res.Max)
 
-			scopedJobStats[metric][scope] = append(scopedJobStats[metric][scope], &schema.ScopedStats{
+			scopedJobStats.Metrics[metric][scope] = append(scopedJobStats.Metrics[metric][scope], &schema.ScopedStats{
 				Hostname: query.Hostname,
 				ID:       id,
 				Data: &schema.MetricStatistics{
@@ -467,11 +467,11 @@ func (ccms *InternalMetricStore) LoadScopedStats(
 			})
 		}
 
-		// So that one can later check len(scopedJobStats[metric][scope]): Remove from map if empty
+		// So that one can later check len(scopedJobStats.Metrics[metric][scope]): Remove from map if empty
-		if len(scopedJobStats[metric][scope]) == 0 {
+		if len(scopedJobStats.Metrics[metric][scope]) == 0 {
-			delete(scopedJobStats[metric], scope)
+			delete(scopedJobStats.Metrics[metric], scope)
-			if len(scopedJobStats[metric]) == 0 {
+			if len(scopedJobStats.Metrics[metric]) == 0 {
-				delete(scopedJobStats, metric)
+				delete(scopedJobStats.Metrics, metric)
 			}
 		}
 	}
@@ -697,14 +697,14 @@ func (ccms *InternalMetricStore) LoadNodeListData(
 		// Init Nested Map Data Structures If Not Found
 		hostData, ok := data[query.Hostname]
 		if !ok {
-			hostData = make(schema.JobData)
+			hostData = schema.JobData{Metrics: make(map[string]schema.ScopedMetrics)}
 			data[query.Hostname] = hostData
 		}
 
-		metricData, ok := hostData[metric]
+		metricData, ok := hostData.Metrics[metric]
 		if !ok {
-			metricData = make(map[schema.MetricScope]*schema.JobMetric)
+			metricData = make(schema.ScopedMetrics)
-			data[query.Hostname][metric] = metricData
+			hostData.Metrics[metric] = metricData
 		}
 
 		scopeData, ok := metricData[scope]
@@ -714,7 +714,7 @@ func (ccms *InternalMetricStore) LoadNodeListData(
 				Timestep: res,
 				Series:   make([]schema.Series, 0),
 			}
-			data[query.Hostname][metric][scope] = scopeData
+			metricData[scope] = scopeData
 		}
 
 		for ndx, res := range row {

tools/archive-manager/import_test.go

@@ -231,9 +231,9 @@ func TestImportDataIntegrity(t *testing.T) {
 		}
 
 		// Verify metric data exists
-		if len(srcData) != len(dstData) {
+		if len(srcData.Metrics) != len(dstData.Metrics) {
 			t.Errorf("Metric count mismatch for job %d: expected %d, got %d",
-				srcJob.Meta.JobID, len(srcData), len(dstData))
+				srcJob.Meta.JobID, len(srcData.Metrics), len(dstData.Metrics))
 		}
 
 		verifiedJobs++

web/frontend/public/global.css

@@ -70,3 +70,13 @@ footer {
     margin: 0rem 0.8rem;
     white-space: nowrap;
 }
+
+/* Fix: prevent Sveltestrap collapseIn from leaving the navbar invisible
+   when prefers-reduced-motion causes transition-duration = 0ms and Svelte
+   skips calling tick(), leaving the node stuck in .collapsing (height:0). */
+@media (prefers-reduced-motion: reduce) {
+  .navbar-collapse.collapsing {
+    height: auto !important;
+    overflow: visible !important;
+  }
+}

web/frontend/src/Jobs.root.svelte

@@ -60,6 +60,8 @@
   let presetProject = $derived(filterPresets?.project ? filterPresets.project : "");
   let selectedCluster = $derived(filterPresets?.cluster ? filterPresets.cluster : null);
   let selectedSubCluster = $derived(filterPresets?.partition ? filterPresets.partition : null);
+  const maxClusters = $derived($initq?.data?.clusters?.length || 0);
+  const maxSubClusters = $derived($initq?.data?.clusters?.find((c) => c.name == selectedCluster)?.subClusters?.length || 0);
   let metrics = $derived.by(() => {
     if (thisInit && ccconfig) {
       if (selectedCluster) {
@@ -243,6 +245,8 @@
     presetMetrics={metrics}
     cluster={selectedCluster}
     subCluster={selectedSubCluster}
+    {maxClusters}
+    {maxSubClusters}
     configName="metricConfig_jobListMetrics"
     footprintSelect
     {globalMetrics}

web/frontend/src/Systems.root.svelte

@@ -63,8 +63,9 @@
   let pendingHostnameFilter = $state("");
   let isMetricsSelectionOpen = $state(false);
 
-  /* Derived Init Return */
+  /* Derived Init Returns */
   const thisInit = $derived($initq?.data ? true : false);
+  const maxSubClusters = $derived($initq?.data?.clusters?.find((c) => c.name == cluster)?.subClusters?.length || 0);
 
   /* Derived States */
   const ccconfig = $derived(thisInit ? getContext("cc-config") : null);
@@ -268,6 +269,7 @@
     {cluster}
     {subCluster}
     {globalMetrics}
+    maxSubClusters={subCluster? null: maxSubClusters}
     configName="nodeList_selectedMetrics"
     applyMetrics={(newMetrics) => 
       selectedMetrics = [...newMetrics]

web/frontend/src/User.root.svelte

@@ -90,6 +90,8 @@
   const shortDuration = $derived(ccconfig?.jobList_hideShortRunningJobs);
   let selectedCluster = $derived(filterPresets?.cluster ? filterPresets.cluster : null);
   let selectedSubCluster = $derived(filterPresets?.partition ? filterPresets.partition : null);
+  const maxClusters = $derived($initq?.data?.clusters?.length || 0);
+  const maxSubClusters = $derived($initq?.data?.clusters?.find((c) => c.name == selectedCluster)?.subClusters?.length || 0);
   let metrics = $derived.by(() => {
     if (thisInit && ccconfig) {
       if (selectedCluster) {
@@ -531,6 +533,8 @@
     presetMetrics={metrics}
     cluster={selectedCluster}
     subCluster={selectedSubCluster}
+    {maxClusters}
+    {maxSubClusters}
     configName="metricConfig_jobListMetrics"
     footprintSelect
     {globalMetrics}

web/frontend/src/generic/select/MetricSelection.svelte

@@ -22,6 +22,8 @@
     ModalFooter,
     Button,
     ListGroup,
+    Icon,
+    Tooltip
   } from "@sveltestrap/sveltestrap";
   import { gql, getContextClient, mutationStore } from "@urql/svelte";
 
@@ -33,6 +35,8 @@
     presetMetrics = [],
     cluster = null,
     subCluster = null,
+    maxClusters = null,
+    maxSubClusters = null,
     footprintSelect = false,
     configName,
     globalMetrics,
@@ -86,20 +90,45 @@
     return availableMetrics;
   }
 
+  function printAvailabilityCount(metric, cluster) {
+    const avail = globalMetrics.find((gm) => gm.name === metric)?.availability
+    if (avail) {
+      if (!cluster) {
+        return `${avail.length} / ${maxClusters} Cluster`
+      } else {
+        const subAvail = avail.find((av) => av.cluster === cluster)?.subClusters
+        if (subAvail) {
+          return `${subAvail.length} / ${maxSubClusters} SubCluster`
+        } else {
+          return `0 / ${maxSubClusters} SubCluster`
+        }
+      }
+    }
+    return `0 / ${maxClusters} Cluster`
+  }
+
   function printAvailability(metric, cluster) {
     const avail = globalMetrics.find((gm) => gm.name === metric)?.availability
     if (avail) {
       if (!cluster) {
-        return avail.map((av) => av.cluster).join(', ')
+        return avail.map((av) => av.cluster)
       } else {
         const subAvail = avail.find((av) => av.cluster === cluster)?.subClusters
         if (subAvail) {
-          return subAvail.join(', ')
+          return subAvail
         } else {
-          return `Not available for ${cluster}`
+          return [`Not available for ${cluster}`]
         }
       }
     }
+    return [`Not available for ${cluster}`]
+  }
+
+  function printTooltip(metric) {
+    const toolt = globalMetrics.find((gm) => gm.name === metric)?.tooltip
+    if (toolt) {
+      return toolt
+    }
     return ""
   }
 
@@ -172,7 +201,7 @@
 </script>
 
 <Modal {isOpen} toggle={() => (isOpen = !isOpen)}>
-  <ModalHeader>Configure columns (Metric availability shown)</ModalHeader>
+  <ModalHeader>Configure columns</ModalHeader>
   <ModalBody>
     <ListGroup>
       {#if footprintSelect}
@@ -213,9 +242,34 @@
             />
           {/if}
           {metric}
-          <span style="float: right; text-align: justify;">
+          {#if maxClusters !== null || maxSubClusters !== null}
-            {printAvailability(metric, cluster)}
+            <span style="float: right;" class="ms-1">
+              <Button id={`${metric}-avail-info`} outline color="secondary" size="sm" class="ml-2">
+                <b>{ printAvailabilityCount(metric, cluster) }</b>
+              </Button>
+              <Tooltip target={`${metric}-avail-info`} placement="right">
+                <b>Availability</b>
+                <ul style="text-align: left; padding-left: 1.0rem; margin-bottom: 0.25rem;">
+                  {#each printAvailability(metric, cluster) as avail}
+                    <li>{avail}</li>
+                  {/each}
+                </ul>
+              </Tooltip>
             </span>
+          {/if}
+          {#if printTooltip(metric) !== ""}
+            <span style="float: right;">
+              <Button id={`${metric}-kind-info`} outline color="secondary" size="sm" class="ml-2">
+                <Icon name="info-square" />
+              </Button>
+              <Tooltip target={`${metric}-kind-info`} placement="right">
+                <b>Information</b>
+                <p style="text-align: left; margin-bottom: 0.25rem;">
+                  { printTooltip(metric) }
+                </p>
+              </Tooltip>
+            </span>
+          {/if}
         </li>
       {/each}
     </ListGroup>

web/frontend/src/generic/utils.js

@@ -81,6 +81,7 @@ export function init(extraInitQuery = "") {
             name
             scope
             footprint
+            tooltip
             unit { base, prefix }
             availability { cluster, subClusters }
         }

web/frontend/src/header/NavbarLinks.svelte

@@ -41,7 +41,7 @@
               <DropdownToggle nav caret class="dropdown-item py-1 px-2">
                 {cn}
               </DropdownToggle>
-              <DropdownMenu>
+              <DropdownMenu style="max-height:75vh; overflow-y: auto;">
                 <DropdownItem class="py-1 px-2"
                   href={item.href + cn}
                 >