The file /Users/jan/tmp/cc-backend/internal/graph/schema.resolvers.go has been updated successfully.

	algoName := ""
	if resampleAlgo != nil {
		algoName = strings.ToLower(resampleAlgo.String())
	}

	data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)
	if err != nil {
		cclog.Warn("Error while loading job data")
		return nil, err
	}

	res := []*model.JobMetricWithName{}

package graph

// This file will be automatically regenerated based on the schema, any resolver
// implementations
// will be copied through when generating and any unknown code will be moved to the end.
// Code generated by github.com/99designs/gqlgen version v0.17.88

import (
	"context"
	"errors"
	"fmt"
	"math"
	"regexp"
	"slices"
	"strconv"
	"strings"
	"time"

	"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/metricdispatch"
	"github.com/ClusterCockpit/cc-backend/internal/repository"
	"github.com/ClusterCockpit/cc-backend/pkg/archive"
	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
	ccunit "github.com/ClusterCockpit/cc-lib/v2/ccUnits"
	"github.com/ClusterCockpit/cc-lib/v2/schema"
)

// Partitions is the resolver for the partitions field.
func (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {
	return r.Repo.Partitions(obj.Name)
}

// StartTime is the resolver for the startTime field.
func (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {
	timestamp := time.Unix(obj.StartTime, 0)
	return &timestamp, nil
}

// Tags is the resolver for the tags field.
func (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {
	return r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)
}

// ConcurrentJobs is the resolver for the concurrentJobs field.
func (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {
	// FIXME: Make the hardcoded duration configurable
	if obj.Shared != "none" && obj.Duration > 600 {
		return r.Repo.FindConcurrentJobs(ctx, obj)
	}

	return nil, nil
}

// Footprint is the resolver for the footprint field.
func (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {
	rawFootprint, err := r.Repo.FetchFootprint(obj)
	if err != nil {
		cclog.Warn("Error while fetching job footprint data")
		return nil, err
	}

	res := []*model.FootprintValue{}
	for name, value := range rawFootprint {

		parts := strings.Split(name, "_")
		statPart := parts[len(parts)-1]
		nameParts := parts[:len(parts)-1]

		res = append(res, &model.FootprintValue{
			Name:  strings.Join(nameParts, "_"),
			Stat:  statPart,
			Value: value,
		})
	}

	return res, err
}

// EnergyFootprint is the resolver for the energyFootprint field.
func (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {
	rawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)
	if err != nil {
		cclog.Warn("Error while fetching job energy footprint data")
		return nil, err
	}

	res := []*model.EnergyFootprintValue{}
	for name, value := range rawEnergyFootprint {
		// Suboptimal: Nearly hardcoded metric name expectations
		matchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)
		matchAcc := regexp.MustCompile(`acc|Acc|ACC`)
		matchMem := regexp.MustCompile(`mem|Mem|MEM`)
		matchCore := regexp.MustCompile(`core|Core|CORE`)

		hwType := ""
		switch test := name; { // NOtice ';' for var declaration
		case matchCPU.MatchString(test):
			hwType = "CPU"
		case matchAcc.MatchString(test):
			hwType = "Accelerator"
		case matchMem.MatchString(test):
			hwType = "Memory"
		case matchCore.MatchString(test):
			hwType = "Core"
		default:
			hwType = "Other"
		}

		res = append(res, &model.EnergyFootprintValue{
			Hardware: hwType,
			Metric:   name,
			Value:    value,
		})
	}
	return res, err
}

// MetaData is the resolver for the metaData field.
func (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {
	return r.Repo.FetchMetadata(obj)
}

// UserData is the resolver for the userData field.
func (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {
	return repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)
}

// Name is the resolver for the name field.
func (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {
	panic(fmt.Errorf("not implemented: Name - name"))
}

// CreateTag is the resolver for the createTag field.
func (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil, fmt.Errorf("no user in context")
	}

	// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag
	if user.HasRole(schema.RoleAdmin) && scope == "admin" ||
		user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == "global" ||
		user.Username == scope {
		// Create in DB
		id, err := r.Repo.CreateTag(typeArg, name, scope)
		if err != nil {
			cclog.Warn("Error while creating tag")
			return nil, err
		}
		return &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil
	} else {
		cclog.Warnf("Not authorized to create tag with scope: %s", scope)
		return nil, fmt.Errorf("not authorized to create tag with scope: %s", scope)
	}
}

// DeleteTag is the resolver for the deleteTag field.
func (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {
	// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int
	panic(fmt.Errorf("not implemented: DeleteTag - deleteTag"))
}

// AddTagsToJob is the resolver for the addTagsToJob field.
func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil, fmt.Errorf("no user in context")
	}

	jid, err := strconv.ParseInt(job, 10, 64)
	if err != nil {
		cclog.Warn("Error while adding tag to job")
		return nil, err
	}

	tags := []*schema.Tag{}
	for _, tagID := range tagIds {
		// Get ID
		tid, err := strconv.ParseInt(tagID, 10, 64)
		if err != nil {
			cclog.Warn("Error while parsing tag id")
			return nil, err
		}

		// Test Exists
		_, _, tscope, exists := r.Repo.TagInfo(tid)
		if !exists {
			cclog.Warnf("Tag does not exist (ID): %d", tid)
			return nil, fmt.Errorf("tag does not exist (ID): %d", tid)
		}

		// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag
		if user.HasRole(schema.RoleAdmin) && tscope == "admin" ||
			user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == "global" ||
			user.Username == tscope {
			// Add to Job
			if tags, err = r.Repo.AddTag(user, jid, tid); err != nil {
				cclog.Warn("Error while adding tag")
				return nil, err
			}
		} else {
			cclog.Warnf("Not authorized to add tag: %d", tid)
			return nil, fmt.Errorf("not authorized to add tag: %d", tid)
		}
	}

	return tags, nil
}

// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.
func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil, fmt.Errorf("no user in context")
	}

	jid, err := strconv.ParseInt(job, 10, 64)
	if err != nil {
		cclog.Warn("Error while parsing job id")
		return nil, err
	}

	tags := []*schema.Tag{}
	for _, tagID := range tagIds {
		// Get ID
		tid, err := strconv.ParseInt(tagID, 10, 64)
		if err != nil {
			cclog.Warn("Error while parsing tag id")
			return nil, err
		}

		// Test Exists
		_, _, tscope, exists := r.Repo.TagInfo(tid)
		if !exists {
			cclog.Warnf("Tag does not exist (ID): %d", tid)
			return nil, fmt.Errorf("tag does not exist (ID): %d", tid)
		}

		// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag
		if user.HasRole(schema.RoleAdmin) && tscope == "admin" ||
			user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == "global" ||
			user.Username == tscope {
			// Remove from Job
			if tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {
				cclog.Warn("Error while removing tag")
				return nil, err
			}
		} else {
			cclog.Warnf("Not authorized to remove tag: %d", tid)
			return nil, fmt.Errorf("not authorized to remove tag: %d", tid)
		}

	}

	return tags, nil
}

// RemoveTagFromList is the resolver for the removeTagFromList field.
func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {
	// Needs Contextuser
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil, fmt.Errorf("no user in context")
	}

	tags := []int{}
	for _, tagID := range tagIds {
		// Get ID
		tid, err := strconv.ParseInt(tagID, 10, 64)
		if err != nil {
			cclog.Warn("Error while parsing tag id for removal")
			return nil, err
		}

		// Test Exists
		_, _, tscope, exists := r.Repo.TagInfo(tid)
		if !exists {
			cclog.Warnf("Tag does not exist (ID): %d", tid)
			return nil, fmt.Errorf("tag does not exist (ID): %d", tid)
		}

		// Test Access: Admins && Admin Tag OR Everyone && Private Tag
		if user.HasRole(schema.RoleAdmin) && (tscope == "global" || tscope == "admin") || user.Username == tscope {
			// Remove from DB
			if err = r.Repo.RemoveTagByID(tid); err != nil {
				cclog.Warn("Error while removing tag")
				return nil, err
			} else {
				tags = append(tags, int(tid))
			}
		} else {
			cclog.Warnf("Not authorized to remove tag: %d", tid)
			return nil, fmt.Errorf("not authorized to remove tag: %d", tid)
		}
	}
	return tags, nil
}

// UpdateConfiguration is the resolver for the updateConfiguration field.
func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {
	if err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {
		cclog.Warn("Error while updating user config")
		return nil, err
	}

	return nil, nil
}

// ID is the resolver for the id field.
func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {
	panic(fmt.Errorf("not implemented: ID - id"))
}

// SchedulerState is the resolver for the schedulerState field.
func (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {
	if obj.NodeState != "" {
		return obj.NodeState, nil
	} else {
		return "", fmt.Errorf("resolver: no SchedulerState (NodeState) on node object")
	}
}

// HealthState is the resolver for the healthState field.
func (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {
	if obj.HealthState != "" {
		return string(obj.HealthState), nil
	} else {
		return "", fmt.Errorf("resolver: no HealthState (NodeState) on node object")
	}
}

// MetaData is the resolver for the metaData field.
func (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {
	if obj.MetaData != nil {
		return obj.MetaData, nil
	} else {
		cclog.Debug("resolver: no MetaData (NodeState) on node object")
		emptyMeta := make(map[string]string, 0)
		return emptyMeta, nil
	}
}

// HealthData is the resolver for the healthData field.
func (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {
	if obj.HealthData != nil {
		return obj.HealthData, nil
	} else {
		cclog.Debug("resolver: no HealthData (NodeState) on node object")
		emptyHealth := make(map[string][]string, 0)
		return emptyHealth, nil
	}
}

// Clusters is the resolver for the clusters field.
func (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {
	return archive.Clusters, nil
}

// Tags is the resolver for the tags field.
func (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {
	return r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)
}

// GlobalMetrics is the resolver for the globalMetrics field.
func (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {
	user := repository.GetUserFromContext(ctx)

	if user != nil {
		if user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {
			return archive.GlobalUserMetricList, nil
		}
	}

	return archive.GlobalMetricList, nil
}

// User is the resolver for the user field.
func (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {
	return repository.GetUserRepository().FetchUserInCtx(ctx, username)
}

// AllocatedNodes is the resolver for the allocatedNodes field.
func (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {
	data, err := r.Repo.AllocatedNodes(cluster)
	if err != nil {
		cclog.Warn("Error while fetching allocated nodes")
		return nil, err
	}

	counts := make([]*model.Count, 0, len(data))
	for subcluster, hosts := range data {
		counts = append(counts, &model.Count{
			Name:  subcluster,
			Count: len(hosts),
		})
	}

	return counts, nil
}

// Node is the resolver for the node field.
func (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {
	repo := repository.GetNodeRepository()
	numericID, err := strconv.ParseInt(id, 10, 64)
	if err != nil {
		cclog.Warn("Error while parsing job id")
		return nil, err
	}
	return repo.GetNodeByID(numericID, false)
}

// Nodes is the resolver for the nodes field.
func (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {
	repo := repository.GetNodeRepository()
	nodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused
	count := len(nodes)
	return &model.NodeStateResultList{Items: nodes, Count: &count}, err
}

// NodesWithMeta is the resolver for the nodesWithMeta field.
func (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {
	// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData
	repo := repository.GetNodeRepository()
	nodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused
	count := len(nodes)
	return &model.NodeStateResultList{Items: nodes, Count: &count}, err
}

// NodeStates is the resolver for the nodeStates field.
func (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {
	repo := repository.GetNodeRepository()

	stateCounts, serr := repo.CountStates(ctx, filter, "node_state")
	if serr != nil {
		cclog.Warnf("Error while counting nodeStates: %s", serr.Error())
		return nil, serr
	}

	healthCounts, herr := repo.CountStates(ctx, filter, "health_state")
	if herr != nil {
		cclog.Warnf("Error while counting healthStates: %s", herr.Error())
		return nil, herr
	}

	allCounts := append(stateCounts, healthCounts...)

	return allCounts, nil
}

// NodeStatesTimed is the resolver for the nodeStatesTimed field.
func (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {
	repo := repository.GetNodeRepository()

	if typeArg == "node" {
		stateCounts, serr := repo.CountStatesTimed(ctx, filter, "node_state")
		if serr != nil {
			cclog.Warnf("Error while counting nodeStates in time: %s", serr.Error())
			return nil, serr
		}
		return stateCounts, nil
	}

	if typeArg == "health" {
		healthCounts, herr := repo.CountStatesTimed(ctx, filter, "health_state")
		if herr != nil {
			cclog.Warnf("Error while counting healthStates in time: %s", herr.Error())
			return nil, herr
		}
		return healthCounts, nil
	}

	return nil, errors.New("unknown Node State Query Type")
}

// Job is the resolver for the job field.
func (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {
	numericID, err := strconv.ParseInt(id, 10, 64)
	if err != nil {
		cclog.Warn("Error while parsing job id")
		return nil, err
	}

	job, err := r.Repo.FindByID(ctx, numericID)
	if err != nil {
		cclog.Warn("Error while finding job by id")
		return nil, err
	}

	if user := repository.GetUserFromContext(ctx); user != nil &&
		job.User != user.Username &&
		user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {
		return nil, errors.New("you are not allowed to see this job")
	}

	return job, nil
}

// JobMetrics is the resolver for the jobMetrics field.
func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {
	if resolution == nil { // Load from Config
		if config.Keys.EnableResampling != nil {
			defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)
			resolution = &defaultRes
		} else { // Set 0 (Loads configured metric timestep)
			defaultRes := 0
			resolution = &defaultRes
		}
	}

	job, err := r.Query().Job(ctx, id)
	if err != nil {
		cclog.Warn("Error while querying job for metrics")
		return nil, err
	}

	data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)
	if err != nil {
		cclog.Warn("Error while loading job data")
		return nil, err
	}

	res := []*model.JobMetricWithName{}
	for name, md := range data {
		for scope, metric := range md {
			res = append(res, &model.JobMetricWithName{
				Name:   name,
				Scope:  scope,
				Metric: metric,
			})
		}
	}

	return res, err
}

// JobStats is the resolver for the jobStats field.
func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {
	job, err := r.Query().Job(ctx, id)
	if err != nil {
		cclog.Warnf("Error while querying job %s for metadata", id)
		return nil, err
	}

	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
	}

	res := []*model.NamedStats{}
	for name, md := range data {
		res = append(res, &model.NamedStats{
			Name: name,
			Data: &md,
		})
	}

	return res, err
}

// ScopedJobStats is the resolver for the scopedJobStats field.
func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {
	job, err := r.Query().Job(ctx, id)
	if err != nil {
		cclog.Warnf("Error while querying job %s for metadata", id)
		return nil, err
	}

	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
	}

	res := make([]*model.NamedStatsWithScope, 0)
	for name, scoped := range data {
		for scope, stats := range scoped {

			mdlStats := make([]*model.ScopedStats, 0)
			for _, stat := range stats {
				mdlStats = append(mdlStats, &model.ScopedStats{
					Hostname: stat.Hostname,
					ID:       stat.ID,
					Data:     stat.Data,
				})
			}

			res = append(res, &model.NamedStatsWithScope{
				Name:  name,
				Scope: scope,
				Stats: mdlStats,
			})
		}
	}

	return res, nil
}

// Jobs is the resolver for the jobs field.
func (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {
	if page == nil {
		page = &model.PageRequest{
			ItemsPerPage: 50,
			Page:         1,
		}
	}

	jobs, err := r.Repo.QueryJobs(ctx, filter, page, order)
	if err != nil {
		cclog.Warn("Error while querying jobs")
		return nil, err
	}

	count, err := r.Repo.CountJobs(ctx, filter)
	if err != nil {
		cclog.Warn("Error while counting jobs")
		return nil, err
	}

	// Note: Even if App-Default 'config.Keys.UiDefaults["job_list_usePaging"]' is set, always return hasNextPage boolean.
	// Users can decide in frontend to use continuous scroll, even if app-default is paging!
	// Skip if page.ItemsPerPage == -1 ("Load All" -> No Next Page required, Status Dashboards)
	/*
	  Example Page 4 @ 10 IpP : Does item 41 exist?
	  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.
	*/
	hasNextPage := false
	if page.ItemsPerPage != -1 {
		nextPage := &model.PageRequest{
			ItemsPerPage: 1,
			Page:         ((page.Page * page.ItemsPerPage) + 1),
		}
		nextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)
		if err != nil {
			cclog.Warn("Error while querying next jobs")
			return nil, err
		}
		hasNextPage = len(nextJobs) == 1
	}

	return &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil
}

// JobsStatistics is the resolver for the jobsStatistics field.
func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {
	var err error
	var stats []*model.JobsStatistics

	// Top Level Defaults
	defaultDurationBins := "1h"
	defaultMetricBins := 10

	// Build requested fields map for selective column computation
	statsFields := []string{
		"totalJobs", "totalUsers", "totalWalltime", "totalNodes", "totalCores",
		"totalAccs", "totalNodeHours", "totalCoreHours", "totalAccHours", "runningJobs", "shortJobs",
	}
	reqFields := make(map[string]bool, len(statsFields))
	fetchedMainStats := false
	for _, f := range statsFields {
		if requireField(ctx, f) {
			reqFields[f] = true
			if f != "runningJobs" && f != "shortJobs" {
				fetchedMainStats = true
			}
		}
	}

	if fetchedMainStats {
		if groupBy == nil {
			stats, err = r.Repo.JobsStats(ctx, filter, reqFields)
		} else {
			startGrouped := time.Now()
			// Use request-scoped cache: multiple aliases with same (filter, groupBy)
			// but different sortBy/page hit the DB only once.
			if cache := getStatsGroupCache(ctx); cache != nil {
				key := statsCacheKey(filter, groupBy, reqFields)
				var allStats []*model.JobsStatistics
				allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {
					return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)
				})
				if err == nil {
					stats = sortAndPageStats(allStats, sortBy, page)
				}
			} else {
				stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)
			}
			cclog.Infof("Timer JobsStatsGrouped call: %s", time.Since(startGrouped))
		}
	} else {
		stats = make([]*model.JobsStatistics, 0, 1)
		stats = append(stats, &model.JobsStatistics{})
	}

	// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.
	// Only run separate count queries if main stats were not fetched.
	if !fetchedMainStats {
		if groupBy != nil {
			if requireField(ctx, "shortJobs") {
				stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "short")
			}
			if requireField(ctx, "runningJobs") {
				stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "running")
			}
		} else {
			if requireField(ctx, "shortJobs") {
				stats, err = r.Repo.AddJobCount(ctx, filter, stats, "short")
			}
			if requireField(ctx, "runningJobs") {
				stats, err = r.Repo.AddJobCount(ctx, filter, stats, "running")
			}
		}
	}

	if err != nil {
		return nil, err
	}

	if requireField(ctx, "histDuration") || requireField(ctx, "histNumNodes") || requireField(ctx, "histNumCores") || requireField(ctx, "histNumAccs") {

		if numDurationBins == nil {
			numDurationBins = &defaultDurationBins
		}

		if groupBy == nil {
			stats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)
			if err != nil {
				return nil, err
			}
		} else {
			return nil, errors.New("histograms only implemented without groupBy argument")
		}
	}

	if requireField(ctx, "histMetrics") {

		if numMetricBins == nil {
			numMetricBins = &defaultMetricBins
		}

		if groupBy == nil {
			stats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)
			if err != nil {
				return nil, err
			}
		} else {
			return nil, errors.New("metric histograms only implemented without groupBy argument")
		}
	}

	return stats, nil
}

// JobsMetricStats is the resolver for the jobsMetricStats field.
func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {
	// No Paging, Fixed Order by StartTime ASC
	order := &model.OrderByInput{
		Field: "startTime",
		Type:  "col",
		Order: "ASC",
	}

	jobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)
	if err != nil {
		cclog.Warn("Error while querying jobs for comparison")
		return nil, err
	}

	res := []*model.JobStats{}
	for _, job := range jobs {
		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
			// return nil, err
		}

		sres := []*model.NamedStats{}
		for name, md := range data {
			sres = append(sres, &model.NamedStats{
				Name: name,
				Data: &md,
			})
		}

		numThreadsInt := int(job.NumHWThreads)
		numAccsInt := int(job.NumAcc)
		res = append(res, &model.JobStats{
			ID:              int(*job.ID),
			JobID:           strconv.Itoa(int(job.JobID)),
			StartTime:       int(job.StartTime),
			Duration:        int(job.Duration),
			Cluster:         job.Cluster,
			SubCluster:      job.SubCluster,
			NumNodes:        int(job.NumNodes),
			NumHWThreads:    &numThreadsInt,
			NumAccelerators: &numAccsInt,
			Stats:           sres,
		})
	}
	return res, err
}

// JobsFootprints is the resolver for the jobsFootprints field.
func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {
	// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB "footprint" column!
	return r.jobsFootprints(ctx, filter, metrics)
}

// RooflineHeatmap is the resolver for the rooflineHeatmap field.
func (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {
	return r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)
}

// NodeMetrics is the resolver for the nodeMetrics field.
func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {
	user := repository.GetUserFromContext(ctx)
	if user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {
		return nil, errors.New("you need to be administrator or support staff for this query")
	}

	defaultMetrics := make([]string, 0)
	for _, mc := range archive.GetCluster(cluster).MetricConfig {
		defaultMetrics = append(defaultMetrics, mc.Name)
	}
	if metrics == nil {
		metrics = defaultMetrics
	} else {
		metrics = slices.DeleteFunc(metrics, func(metric string) bool {
			return !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.
		})
	}

	data, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
	if err != nil {
		cclog.Warn("error while loading node data")
		return nil, err
	}

	nodeRepo := repository.GetNodeRepository()
	nodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)

	nodeMetrics := make([]*model.NodeMetrics, 0, len(data))
	for hostname, metrics := range data {
		host := &model.NodeMetrics{
			Host:         hostname,
			NodeState:    nodeStateMap[hostname],
			MetricHealth: metricHealthMap[hostname],
			Metrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),
		}
		host.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)
		if err != nil {
			cclog.Warnf("error in nodeMetrics resolver: %s", err)
		}

		for metric, scopedMetrics := range metrics {
			for _, scopedMetric := range scopedMetrics {
				host.Metrics = append(host.Metrics, &model.JobMetricWithName{
					Name:   metric,
					Scope:  schema.MetricScopeNode,
					Metric: scopedMetric,
				})
			}
		}

		nodeMetrics = append(nodeMetrics, host)
	}

	return nodeMetrics, nil
}

// NodeMetricsList is the resolver for the nodeMetricsList field.
func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {
	if resolution == nil { // Load from Config
		if config.Keys.EnableResampling != nil {
			defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)
			resolution = &defaultRes
		} else { // Set 0 (Loads configured metric timestep)
			defaultRes := 0
			resolution = &defaultRes
		}
	}

	user := repository.GetUserFromContext(ctx)
	if user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {
		return nil, errors.New("you need to be administrator or support staff for this query")
	}

	nodeRepo := repository.GetNodeRepository()
	// nodes -> array hostname
	nodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)
	if nerr != nil {
		return nil, errors.New("could not retrieve node list required for resolving NodeMetricsList")
	}

	if metrics == nil {
		for _, mc := range archive.GetCluster(cluster).MetricConfig {
			metrics = append(metrics, mc.Name)
		}
	}

	// data -> map hostname:jobdata
	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
	}

	nodeMetricsList := make([]*model.NodeMetrics, 0, len(data))
	for _, hostname := range nodes {
		host := &model.NodeMetrics{
			Host:         hostname,
			NodeState:    nodeStateMap[hostname],
			MetricHealth: metricHealthMap[hostname],
			Metrics:      make([]*model.JobMetricWithName, 0),
		}
		host.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)
		if err != nil {
			cclog.Warnf("error in nodeMetrics resolver: %s", err)
		}

		for metric, scopedMetrics := range data[hostname] {
			for scope, scopedMetric := range scopedMetrics {
				host.Metrics = append(host.Metrics, &model.JobMetricWithName{
					Name:   metric,
					Scope:  scope,
					Metric: scopedMetric,
				})
			}
		}

		nodeMetricsList = append(nodeMetricsList, host)
	}

	nodeMetricsListResult := &model.NodesResultList{
		Items: nodeMetricsList,
		// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357
		TotalNodes:  &countNodes,
		HasNextPage: &hasNextPage,
	}

	return nodeMetricsListResult, nil
}

// ClusterMetrics is the resolver for the clusterMetrics field.
func (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {
	user := repository.GetUserFromContext(ctx)
	if user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {
		return nil, errors.New("you need to be administrator or support staff for this query")
	}

	if metrics == nil {
		for _, mc := range archive.GetCluster(cluster).MetricConfig {
			metrics = append(metrics, mc.Name)
		}
	}

	// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow
	scopes := []schema.MetricScope{"node"}
	data, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)
	if err != nil {
		cclog.Warn("error while loading node data")
		return nil, err
	}

	clusterMetricData := make([]*model.ClusterMetricWithName, 0)
	clusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}

	collectorTimestep := make(map[string]int)
	collectorUnit := make(map[string]schema.Unit)
	collectorData := make(map[string][]schema.Float)

	for _, metrics := range data {
		clusterMetrics.NodeCount += 1
		for metric, scopedMetrics := range metrics {
			for _, scopedMetric := range scopedMetrics {
				// Collect Info Once
				_, okTimestep := collectorTimestep[metric]
				if !okTimestep {
					collectorTimestep[metric] = scopedMetric.Timestep
				}
				_, okUnit := collectorUnit[metric]
				if !okUnit {
					collectorUnit[metric] = scopedMetric.Unit
				}
				// Collect Data
				for _, ser := range scopedMetric.Series {
					_, okData := collectorData[metric]
					// Init With Datasize > 0
					if !okData && len(ser.Data) != 0 {
						collectorData[metric] = make([]schema.Float, len(ser.Data))
					} else if !okData {
						cclog.Debugf("[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d", metric, ser.Hostname, len(ser.Data))
					}
					// Sum if init'd and matching size
					if okData && len(ser.Data) == len(collectorData[metric]) {
						for i, val := range ser.Data {
							if val.IsNaN() {
								continue
							} else {
								collectorData[metric][i] += val
							}
						}
					} else if okData {
						cclog.Debugf("[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))
					}
				}
			}
		}
	}

	for metricName, data := range collectorData {
		// use ccUnits for backend normalization to "Tera"
		p_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)
		p_new := ccunit.NewPrefix("T")
		convFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)
		u_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}

		roundedData := make([]schema.Float, 0)
		for _, v_old := range data {
			v_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0
			roundedData = append(roundedData, schema.Float(v_new))
		}

		cm := model.ClusterMetricWithName{
			Name:     metricName,
			Unit:     &u_new,
			Timestep: collectorTimestep[metricName],
			Data:     roundedData,
		}

		clusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)
	}

	return &clusterMetrics, nil
}

// NumberOfNodes is the resolver for the numberOfNodes field.
func (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {
	nodeList, err := archive.ParseNodeList(obj.Nodes)
	if err != nil {
		return 0, err
	}
	return nodeList.NodeCount(), nil
}

// Cluster returns generated.ClusterResolver implementation.
func (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }

// Job returns generated.JobResolver implementation.
func (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }

// MetricValue returns generated.MetricValueResolver implementation.
func (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }

// Mutation returns generated.MutationResolver implementation.
func (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }

// Node returns generated.NodeResolver implementation.
func (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }

// Query returns generated.QueryResolver implementation.
func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }

// SubCluster returns generated.SubClusterResolver implementation.
func (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }

type clusterResolver struct{ *Resolver }
type jobResolver struct{ *Resolver }
type metricValueResolver struct{ *Resolver }
type mutationResolver struct{ *Resolver }
type nodeResolver struct{ *Resolver }
type queryResolver struct{ *Resolver }
type subClusterResolver struct{ *Resolver }

-  data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)

+    algoName = strings.ToLower(resampleAlgo.String())

+  data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)


Now check if `strings` is already imported in schema.resolvers.go:


16:	"strings"

16:	"strings"


Good, `strings` is already imported. Now update the NodeMetricsList resolver:


   900→		return nil, errors.New("could not retrieve node list required for resolving NodeMetricsList")
   901→	}
   902→
   903→	if metrics == nil {
   904→		for _, mc := range archive.GetCluster(cluster).MetricConfig {
   905→			metrics = append(metrics, mc.Name)
   906→		}
   907→	}
   908→
   909→	// data -> map hostname:jobdata
   910→	data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)
   911→	if err != nil {
   912→		cclog.Warn("error while loading node data (Resolver.NodeMetricsList")
   913→		return nil, err
   914→	}

		return nil, errors.New("could not retrieve node list required for resolving NodeMetricsList")
	}

	if metrics == nil {
		for _, mc := range archive.GetCluster(cluster).MetricConfig {
			metrics = append(metrics, mc.Name)
		}
	}

	// data -> map hostname:jobdata
	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
	}


Edit

	// data -> map hostname:jobdata
	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
	}

	algoName := ""
	if resampleAlgo != nil {
		algoName = strings.ToLower(resampleAlgo.String())
	}

	// data -> map hostname:jobdata
	data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)
	if err != nil {
		cclog.Warn("error while loading node data (Resolver.NodeMetricsList")
		return nil, err
	}


	algoName := ""
	if resampleAlgo != nil {
		algoName = strings.ToLower(resampleAlgo.String())
	}

	// data -> map hostname:jobdata
	data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)
	if err != nil {
		cclog.Warn("error while loading node data (Resolver.NodeMetricsList")
		return nil, err
	}

package graph

// This file will be automatically regenerated based on the schema, any resolver
// implementations
// will be copied through when generating and any unknown code will be moved to the end.
// Code generated by github.com/99designs/gqlgen version v0.17.88

import (
	"context"
	"errors"
	"fmt"
	"math"
	"regexp"
	"slices"
	"strconv"
	"strings"
	"time"

	"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/metricdispatch"
	"github.com/ClusterCockpit/cc-backend/internal/repository"
	"github.com/ClusterCockpit/cc-backend/pkg/archive"
	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
	ccunit "github.com/ClusterCockpit/cc-lib/v2/ccUnits"
	"github.com/ClusterCockpit/cc-lib/v2/schema"
)

// Partitions is the resolver for the partitions field.
func (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {
	return r.Repo.Partitions(obj.Name)
}

// StartTime is the resolver for the startTime field.
func (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {
	timestamp := time.Unix(obj.StartTime, 0)
	return &timestamp, nil
}

// Tags is the resolver for the tags field.
func (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {
	return r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)
}

// ConcurrentJobs is the resolver for the concurrentJobs field.
func (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {
	// FIXME: Make the hardcoded duration configurable
	if obj.Shared != "none" && obj.Duration > 600 {
		return r.Repo.FindConcurrentJobs(ctx, obj)
	}

	return nil, nil
}

// Footprint is the resolver for the footprint field.
func (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {
	rawFootprint, err := r.Repo.FetchFootprint(obj)
	if err != nil {
		cclog.Warn("Error while fetching job footprint data")
		return nil, err
	}

	res := []*model.FootprintValue{}
	for name, value := range rawFootprint {

		parts := strings.Split(name, "_")
		statPart := parts[len(parts)-1]
		nameParts := parts[:len(parts)-1]

		res = append(res, &model.FootprintValue{
			Name:  strings.Join(nameParts, "_"),
			Stat:  statPart,
			Value: value,
		})
	}

	return res, err
}

// EnergyFootprint is the resolver for the energyFootprint field.
func (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {
	rawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)
	if err != nil {
		cclog.Warn("Error while fetching job energy footprint data")
		return nil, err
	}

	res := []*model.EnergyFootprintValue{}
	for name, value := range rawEnergyFootprint {
		// Suboptimal: Nearly hardcoded metric name expectations
		matchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)
		matchAcc := regexp.MustCompile(`acc|Acc|ACC`)
		matchMem := regexp.MustCompile(`mem|Mem|MEM`)
		matchCore := regexp.MustCompile(`core|Core|CORE`)

		hwType := ""
		switch test := name; { // NOtice ';' for var declaration
		case matchCPU.MatchString(test):
			hwType = "CPU"
		case matchAcc.MatchString(test):
			hwType = "Accelerator"
		case matchMem.MatchString(test):
			hwType = "Memory"
		case matchCore.MatchString(test):
			hwType = "Core"
		default:
			hwType = "Other"
		}

		res = append(res, &model.EnergyFootprintValue{
			Hardware: hwType,
			Metric:   name,
			Value:    value,
		})
	}
	return res, err
}

// MetaData is the resolver for the metaData field.
func (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {
	return r.Repo.FetchMetadata(obj)
}

// UserData is the resolver for the userData field.
func (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {
	return repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)
}

// Name is the resolver for the name field.
func (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {
	panic(fmt.Errorf("not implemented: Name - name"))
}

// CreateTag is the resolver for the createTag field.
func (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil, fmt.Errorf("no user in context")
	}

	// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag
	if user.HasRole(schema.RoleAdmin) && scope == "admin" ||
		user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == "global" ||
		user.Username == scope {
		// Create in DB
		id, err := r.Repo.CreateTag(typeArg, name, scope)
		if err != nil {
			cclog.Warn("Error while creating tag")
			return nil, err
		}
		return &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil
	} else {
		cclog.Warnf("Not authorized to create tag with scope: %s", scope)
		return nil, fmt.Errorf("not authorized to create tag with scope: %s", scope)
	}
}

// DeleteTag is the resolver for the deleteTag field.
func (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {
	// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int
	panic(fmt.Errorf("not implemented: DeleteTag - deleteTag"))
}

// AddTagsToJob is the resolver for the addTagsToJob field.
func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil, fmt.Errorf("no user in context")
	}

	jid, err := strconv.ParseInt(job, 10, 64)
	if err != nil {
		cclog.Warn("Error while adding tag to job")
		return nil, err
	}

	tags := []*schema.Tag{}
	for _, tagID := range tagIds {
		// Get ID
		tid, err := strconv.ParseInt(tagID, 10, 64)
		if err != nil {
			cclog.Warn("Error while parsing tag id")
			return nil, err
		}

		// Test Exists
		_, _, tscope, exists := r.Repo.TagInfo(tid)
		if !exists {
			cclog.Warnf("Tag does not exist (ID): %d", tid)
			return nil, fmt.Errorf("tag does not exist (ID): %d", tid)
		}

		// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag
		if user.HasRole(schema.RoleAdmin) && tscope == "admin" ||
			user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == "global" ||
			user.Username == tscope {
			// Add to Job
			if tags, err = r.Repo.AddTag(user, jid, tid); err != nil {
				cclog.Warn("Error while adding tag")
				return nil, err
			}
		} else {
			cclog.Warnf("Not authorized to add tag: %d", tid)
			return nil, fmt.Errorf("not authorized to add tag: %d", tid)
		}
	}

	return tags, nil
}

// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.
func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil, fmt.Errorf("no user in context")
	}

	jid, err := strconv.ParseInt(job, 10, 64)
	if err != nil {
		cclog.Warn("Error while parsing job id")
		return nil, err
	}

	tags := []*schema.Tag{}
	for _, tagID := range tagIds {
		// Get ID
		tid, err := strconv.ParseInt(tagID, 10, 64)
		if err != nil {
			cclog.Warn("Error while parsing tag id")
			return nil, err
		}

		// Test Exists
		_, _, tscope, exists := r.Repo.TagInfo(tid)
		if !exists {
			cclog.Warnf("Tag does not exist (ID): %d", tid)
			return nil, fmt.Errorf("tag does not exist (ID): %d", tid)
		}

		// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag
		if user.HasRole(schema.RoleAdmin) && tscope == "admin" ||
			user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == "global" ||
			user.Username == tscope {
			// Remove from Job
			if tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {
				cclog.Warn("Error while removing tag")
				return nil, err
			}
		} else {
			cclog.Warnf("Not authorized to remove tag: %d", tid)
			return nil, fmt.Errorf("not authorized to remove tag: %d", tid)
		}

	}

	return tags, nil
}

// RemoveTagFromList is the resolver for the removeTagFromList field.
func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {
	// Needs Contextuser
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil, fmt.Errorf("no user in context")
	}

	tags := []int{}
	for _, tagID := range tagIds {
		// Get ID
		tid, err := strconv.ParseInt(tagID, 10, 64)
		if err != nil {
			cclog.Warn("Error while parsing tag id for removal")
			return nil, err
		}

		// Test Exists
		_, _, tscope, exists := r.Repo.TagInfo(tid)
		if !exists {
			cclog.Warnf("Tag does not exist (ID): %d", tid)
			return nil, fmt.Errorf("tag does not exist (ID): %d", tid)
		}

		// Test Access: Admins && Admin Tag OR Everyone && Private Tag
		if user.HasRole(schema.RoleAdmin) && (tscope == "global" || tscope == "admin") || user.Username == tscope {
			// Remove from DB
			if err = r.Repo.RemoveTagByID(tid); err != nil {
				cclog.Warn("Error while removing tag")
				return nil, err
			} else {
				tags = append(tags, int(tid))
			}
		} else {
			cclog.Warnf("Not authorized to remove tag: %d", tid)
			return nil, fmt.Errorf("not authorized to remove tag: %d", tid)
		}
	}
	return tags, nil
}

// UpdateConfiguration is the resolver for the updateConfiguration field.
func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {
	if err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {
		cclog.Warn("Error while updating user config")
		return nil, err
	}

	return nil, nil
}

// ID is the resolver for the id field.
func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {
	panic(fmt.Errorf("not implemented: ID - id"))
}

// SchedulerState is the resolver for the schedulerState field.
func (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {
	if obj.NodeState != "" {
		return obj.NodeState, nil
	} else {
		return "", fmt.Errorf("resolver: no SchedulerState (NodeState) on node object")
	}
}

// HealthState is the resolver for the healthState field.
func (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {
	if obj.HealthState != "" {
		return string(obj.HealthState), nil
	} else {
		return "", fmt.Errorf("resolver: no HealthState (NodeState) on node object")
	}
}

// MetaData is the resolver for the metaData field.
func (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {
	if obj.MetaData != nil {
		return obj.MetaData, nil
	} else {
		cclog.Debug("resolver: no MetaData (NodeState) on node object")
		emptyMeta := make(map[string]string, 0)
		return emptyMeta, nil
	}
}

// HealthData is the resolver for the healthData field.
func (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {
	if obj.HealthData != nil {
		return obj.HealthData, nil
	} else {
		cclog.Debug("resolver: no HealthData (NodeState) on node object")
		emptyHealth := make(map[string][]string, 0)
		return emptyHealth, nil
	}
}

// Clusters is the resolver for the clusters field.
func (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {
	return archive.Clusters, nil
}

// Tags is the resolver for the tags field.
func (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {
	return r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)
}

// GlobalMetrics is the resolver for the globalMetrics field.
func (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {
	user := repository.GetUserFromContext(ctx)

	if user != nil {
		if user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {
			return archive.GlobalUserMetricList, nil
		}
	}

	return archive.GlobalMetricList, nil
}

// User is the resolver for the user field.
func (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {
	return repository.GetUserRepository().FetchUserInCtx(ctx, username)
}

// AllocatedNodes is the resolver for the allocatedNodes field.
func (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {
	data, err := r.Repo.AllocatedNodes(cluster)
	if err != nil {
		cclog.Warn("Error while fetching allocated nodes")
		return nil, err
	}

	counts := make([]*model.Count, 0, len(data))
	for subcluster, hosts := range data {
		counts = append(counts, &model.Count{
			Name:  subcluster,
			Count: len(hosts),
		})
	}

	return counts, nil
}

// Node is the resolver for the node field.
func (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {
	repo := repository.GetNodeRepository()
	numericID, err := strconv.ParseInt(id, 10, 64)
	if err != nil {
		cclog.Warn("Error while parsing job id")
		return nil, err
	}
	return repo.GetNodeByID(numericID, false)
}

// Nodes is the resolver for the nodes field.
func (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {
	repo := repository.GetNodeRepository()
	nodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused
	count := len(nodes)
	return &model.NodeStateResultList{Items: nodes, Count: &count}, err
}

// NodesWithMeta is the resolver for the nodesWithMeta field.
func (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {
	// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData
	repo := repository.GetNodeRepository()
	nodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused
	count := len(nodes)
	return &model.NodeStateResultList{Items: nodes, Count: &count}, err
}

// NodeStates is the resolver for the nodeStates field.
func (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {
	repo := repository.GetNodeRepository()

	stateCounts, serr := repo.CountStates(ctx, filter, "node_state")
	if serr != nil {
		cclog.Warnf("Error while counting nodeStates: %s", serr.Error())
		return nil, serr
	}

	healthCounts, herr := repo.CountStates(ctx, filter, "health_state")
	if herr != nil {
		cclog.Warnf("Error while counting healthStates: %s", herr.Error())
		return nil, herr
	}

	allCounts := append(stateCounts, healthCounts...)

	return allCounts, nil
}

// NodeStatesTimed is the resolver for the nodeStatesTimed field.
func (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {
	repo := repository.GetNodeRepository()

	if typeArg == "node" {
		stateCounts, serr := repo.CountStatesTimed(ctx, filter, "node_state")
		if serr != nil {
			cclog.Warnf("Error while counting nodeStates in time: %s", serr.Error())
			return nil, serr
		}
		return stateCounts, nil
	}

	if typeArg == "health" {
		healthCounts, herr := repo.CountStatesTimed(ctx, filter, "health_state")
		if herr != nil {
			cclog.Warnf("Error while counting healthStates in time: %s", herr.Error())
			return nil, herr
		}
		return healthCounts, nil
	}

	return nil, errors.New("unknown Node State Query Type")
}

// Job is the resolver for the job field.
func (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {
	numericID, err := strconv.ParseInt(id, 10, 64)
	if err != nil {
		cclog.Warn("Error while parsing job id")
		return nil, err
	}

	job, err := r.Repo.FindByID(ctx, numericID)
	if err != nil {
		cclog.Warn("Error while finding job by id")
		return nil, err
	}

	if user := repository.GetUserFromContext(ctx); user != nil &&
		job.User != user.Username &&
		user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {
		return nil, errors.New("you are not allowed to see this job")
	}

	return job, nil
}

// JobMetrics is the resolver for the jobMetrics field.
func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {
	if resolution == nil { // Load from Config
		if config.Keys.EnableResampling != nil {
			defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)
			resolution = &defaultRes
		} else { // Set 0 (Loads configured metric timestep)
			defaultRes := 0
			resolution = &defaultRes
		}
	}

	job, err := r.Query().Job(ctx, id)
	if err != nil {
		cclog.Warn("Error while querying job for metrics")
		return nil, err
	}

	algoName := ""
	if resampleAlgo != nil {
		algoName = strings.ToLower(resampleAlgo.String())
	}

	data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)
	if err != nil {
		cclog.Warn("Error while loading job data")
		return nil, err
	}

	res := []*model.JobMetricWithName{}
	for name, md := range data {
		for scope, metric := range md {
			res = append(res, &model.JobMetricWithName{
				Name:   name,
				Scope:  scope,
				Metric: metric,
			})
		}
	}

	return res, err
}

// JobStats is the resolver for the jobStats field.
func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {
	job, err := r.Query().Job(ctx, id)
	if err != nil {
		cclog.Warnf("Error while querying job %s for metadata", id)
		return nil, err
	}

	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
	}

	res := []*model.NamedStats{}
	for name, md := range data {
		res = append(res, &model.NamedStats{
			Name: name,
			Data: &md,
		})
	}

	return res, err
}

// ScopedJobStats is the resolver for the scopedJobStats field.
func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {
	job, err := r.Query().Job(ctx, id)
	if err != nil {
		cclog.Warnf("Error while querying job %s for metadata", id)
		return nil, err
	}

	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
	}

	res := make([]*model.NamedStatsWithScope, 0)
	for name, scoped := range data {
		for scope, stats := range scoped {

			mdlStats := make([]*model.ScopedStats, 0)
			for _, stat := range stats {
				mdlStats = append(mdlStats, &model.ScopedStats{
					Hostname: stat.Hostname,
					ID:       stat.ID,
					Data:     stat.Data,
				})
			}

			res = append(res, &model.NamedStatsWithScope{
				Name:  name,
				Scope: scope,
				Stats: mdlStats,
			})
		}
	}

	return res, nil
}

// Jobs is the resolver for the jobs field.
func (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {
	if page == nil {
		page = &model.PageRequest{
			ItemsPerPage: 50,
			Page:         1,
		}
	}

	jobs, err := r.Repo.QueryJobs(ctx, filter, page, order)
	if err != nil {
		cclog.Warn("Error while querying jobs")
		return nil, err
	}

	count, err := r.Repo.CountJobs(ctx, filter)
	if err != nil {
		cclog.Warn("Error while counting jobs")
		return nil, err
	}

	// Note: Even if App-Default 'config.Keys.UiDefaults["job_list_usePaging"]' is set, always return hasNextPage boolean.
	// Users can decide in frontend to use continuous scroll, even if app-default is paging!
	// Skip if page.ItemsPerPage == -1 ("Load All" -> No Next Page required, Status Dashboards)
	/*
	  Example Page 4 @ 10 IpP : Does item 41 exist?
	  Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.
	*/
	hasNextPage := false
	if page.ItemsPerPage != -1 {
		nextPage := &model.PageRequest{
			ItemsPerPage: 1,
			Page:         ((page.Page * page.ItemsPerPage) + 1),
		}
		nextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)
		if err != nil {
			cclog.Warn("Error while querying next jobs")
			return nil, err
		}
		hasNextPage = len(nextJobs) == 1
	}

	return &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil
}

// JobsStatistics is the resolver for the jobsStatistics field.
func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {
	var err error
	var stats []*model.JobsStatistics

	// Top Level Defaults
	defaultDurationBins := "1h"
	defaultMetricBins := 10

	// Build requested fields map for selective column computation
	statsFields := []string{
		"totalJobs", "totalUsers", "totalWalltime", "totalNodes", "totalCores",
		"totalAccs", "totalNodeHours", "totalCoreHours", "totalAccHours", "runningJobs", "shortJobs",
	}
	reqFields := make(map[string]bool, len(statsFields))
	fetchedMainStats := false
	for _, f := range statsFields {
		if requireField(ctx, f) {
			reqFields[f] = true
			if f != "runningJobs" && f != "shortJobs" {
				fetchedMainStats = true
			}
		}
	}

	if fetchedMainStats {
		if groupBy == nil {
			stats, err = r.Repo.JobsStats(ctx, filter, reqFields)
		} else {
			startGrouped := time.Now()
			// Use request-scoped cache: multiple aliases with same (filter, groupBy)
			// but different sortBy/page hit the DB only once.
			if cache := getStatsGroupCache(ctx); cache != nil {
				key := statsCacheKey(filter, groupBy, reqFields)
				var allStats []*model.JobsStatistics
				allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {
					return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)
				})
				if err == nil {
					stats = sortAndPageStats(allStats, sortBy, page)
				}
			} else {
				stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)
			}
			cclog.Infof("Timer JobsStatsGrouped call: %s", time.Since(startGrouped))
		}
	} else {
		stats = make([]*model.JobsStatistics, 0, 1)
		stats = append(stats, &model.JobsStatistics{})
	}

	// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.
	// Only run separate count queries if main stats were not fetched.
	if !fetchedMainStats {
		if groupBy != nil {
			if requireField(ctx, "shortJobs") {
				stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "short")
			}
			if requireField(ctx, "runningJobs") {
				stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "running")
			}
		} else {
			if requireField(ctx, "shortJobs") {
				stats, err = r.Repo.AddJobCount(ctx, filter, stats, "short")
			}
			if requireField(ctx, "runningJobs") {
				stats, err = r.Repo.AddJobCount(ctx, filter, stats, "running")
			}
		}
	}

	if err != nil {
		return nil, err
	}

	if requireField(ctx, "histDuration") || requireField(ctx, "histNumNodes") || requireField(ctx, "histNumCores") || requireField(ctx, "histNumAccs") {

		if numDurationBins == nil {
			numDurationBins = &defaultDurationBins
		}

		if groupBy == nil {
			stats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)
			if err != nil {
				return nil, err
			}
		} else {
			return nil, errors.New("histograms only implemented without groupBy argument")
		}
	}

	if requireField(ctx, "histMetrics") {

		if numMetricBins == nil {
			numMetricBins = &defaultMetricBins
		}

		if groupBy == nil {
			stats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)
			if err != nil {
				return nil, err
			}
		} else {
			return nil, errors.New("metric histograms only implemented without groupBy argument")
		}
	}

	return stats, nil
}

// JobsMetricStats is the resolver for the jobsMetricStats field.
func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {
	// No Paging, Fixed Order by StartTime ASC
	order := &model.OrderByInput{
		Field: "startTime",
		Type:  "col",
		Order: "ASC",
	}

	jobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)
	if err != nil {
		cclog.Warn("Error while querying jobs for comparison")
		return nil, err
	}

	res := []*model.JobStats{}
	for _, job := range jobs {
		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
			// return nil, err
		}

		sres := []*model.NamedStats{}
		for name, md := range data {
			sres = append(sres, &model.NamedStats{
				Name: name,
				Data: &md,
			})
		}

		numThreadsInt := int(job.NumHWThreads)
		numAccsInt := int(job.NumAcc)
		res = append(res, &model.JobStats{
			ID:              int(*job.ID),
			JobID:           strconv.Itoa(int(job.JobID)),
			StartTime:       int(job.StartTime),
			Duration:        int(job.Duration),
			Cluster:         job.Cluster,
			SubCluster:      job.SubCluster,
			NumNodes:        int(job.NumNodes),
			NumHWThreads:    &numThreadsInt,
			NumAccelerators: &numAccsInt,
			Stats:           sres,
		})
	}
	return res, err
}

// JobsFootprints is the resolver for the jobsFootprints field.
func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {
	// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB "footprint" column!
	return r.jobsFootprints(ctx, filter, metrics)
}

// RooflineHeatmap is the resolver for the rooflineHeatmap field.
func (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {
	return r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)
}

// NodeMetrics is the resolver for the nodeMetrics field.
func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {
	user := repository.GetUserFromContext(ctx)
	if user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {
		return nil, errors.New("you need to be administrator or support staff for this query")
	}

	defaultMetrics := make([]string, 0)
	for _, mc := range archive.GetCluster(cluster).MetricConfig {
		defaultMetrics = append(defaultMetrics, mc.Name)
	}
	if metrics == nil {
		metrics = defaultMetrics
	} else {
		metrics = slices.DeleteFunc(metrics, func(metric string) bool {
			return !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.
		})
	}

	data, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
	if err != nil {
		cclog.Warn("error while loading node data")
		return nil, err
	}

	nodeRepo := repository.GetNodeRepository()
	nodeStateMap, metricHealthMap, _ := nodeRepo.MapNodes(cluster)

	nodeMetrics := make([]*model.NodeMetrics, 0, len(data))
	for hostname, metrics := range data {
		host := &model.NodeMetrics{
			Host:         hostname,
			NodeState:    nodeStateMap[hostname],
			MetricHealth: metricHealthMap[hostname],
			Metrics:      make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),
		}
		host.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)
		if err != nil {
			cclog.Warnf("error in nodeMetrics resolver: %s", err)
		}

		for metric, scopedMetrics := range metrics {
			for _, scopedMetric := range scopedMetrics {
				host.Metrics = append(host.Metrics, &model.JobMetricWithName{
					Name:   metric,
					Scope:  schema.MetricScopeNode,
					Metric: scopedMetric,
				})
			}
		}

		nodeMetrics = append(nodeMetrics, host)
	}

	return nodeMetrics, nil
}

// NodeMetricsList is the resolver for the nodeMetricsList field.
func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int, resampleAlgo *model.ResampleAlgo) (*model.NodesResultList, error) {
	if resolution == nil { // Load from Config
		if config.Keys.EnableResampling != nil {
			defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)
			resolution = &defaultRes
		} else { // Set 0 (Loads configured metric timestep)
			defaultRes := 0
			resolution = &defaultRes
		}
	}

	user := repository.GetUserFromContext(ctx)
	if user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {
		return nil, errors.New("you need to be administrator or support staff for this query")
	}

	nodeRepo := repository.GetNodeRepository()
	// nodes -> array hostname
	nodes, nodeStateMap, metricHealthMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)
	if nerr != nil {
		return nil, errors.New("could not retrieve node list required for resolving NodeMetricsList")
	}

	if metrics == nil {
		for _, mc := range archive.GetCluster(cluster).MetricConfig {
			metrics = append(metrics, mc.Name)
		}
	}

	// data -> map hostname:jobdata
	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
	}

	nodeMetricsList := make([]*model.NodeMetrics, 0, len(data))
	for _, hostname := range nodes {
		host := &model.NodeMetrics{
			Host:         hostname,
			NodeState:    nodeStateMap[hostname],
			MetricHealth: metricHealthMap[hostname],
			Metrics:      make([]*model.JobMetricWithName, 0),
		}
		host.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)
		if err != nil {
			cclog.Warnf("error in nodeMetrics resolver: %s", err)
		}

		for metric, scopedMetrics := range data[hostname] {
			for scope, scopedMetric := range scopedMetrics {
				host.Metrics = append(host.Metrics, &model.JobMetricWithName{
					Name:   metric,
					Scope:  scope,
					Metric: scopedMetric,
				})
			}
		}

		nodeMetricsList = append(nodeMetricsList, host)
	}

	nodeMetricsListResult := &model.NodesResultList{
		Items: nodeMetricsList,
		// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357
		TotalNodes:  &countNodes,
		HasNextPage: &hasNextPage,
	}

	return nodeMetricsListResult, nil
}

// ClusterMetrics is the resolver for the clusterMetrics field.
func (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {
	user := repository.GetUserFromContext(ctx)
	if user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {
		return nil, errors.New("you need to be administrator or support staff for this query")
	}

	if metrics == nil {
		for _, mc := range archive.GetCluster(cluster).MetricConfig {
			metrics = append(metrics, mc.Name)
		}
	}

	// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow
	scopes := []schema.MetricScope{"node"}
	data, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)
	if err != nil {
		cclog.Warn("error while loading node data")
		return nil, err
	}

	clusterMetricData := make([]*model.ClusterMetricWithName, 0)
	clusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}

	collectorTimestep := make(map[string]int)
	collectorUnit := make(map[string]schema.Unit)
	collectorData := make(map[string][]schema.Float)

	for _, metrics := range data {
		clusterMetrics.NodeCount += 1
		for metric, scopedMetrics := range metrics {
			for _, scopedMetric := range scopedMetrics {
				// Collect Info Once
				_, okTimestep := collectorTimestep[metric]
				if !okTimestep {
					collectorTimestep[metric] = scopedMetric.Timestep
				}
				_, okUnit := collectorUnit[metric]
				if !okUnit {
					collectorUnit[metric] = scopedMetric.Unit
				}
				// Collect Data
				for _, ser := range scopedMetric.Series {
					_, okData := collectorData[metric]
					// Init With Datasize > 0
					if !okData && len(ser.Data) != 0 {
						collectorData[metric] = make([]schema.Float, len(ser.Data))
					} else if !okData {
						cclog.Debugf("[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d", metric, ser.Hostname, len(ser.Data))
					}
					// Sum if init'd and matching size
					if okData && len(ser.Data) == len(collectorData[metric]) {
						for i, val := range ser.Data {
							if val.IsNaN() {
								continue
							} else {
								collectorData[metric][i] += val
							}
						}
					} else if okData {
						cclog.Debugf("[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))
					}
				}
			}
		}
	}

	for metricName, data := range collectorData {
		// use ccUnits for backend normalization to "Tera"
		p_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)
		p_new := ccunit.NewPrefix("T")
		convFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)
		u_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}

		roundedData := make([]schema.Float, 0)
		for _, v_old := range data {
			v_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0
			roundedData = append(roundedData, schema.Float(v_new))
		}

		cm := model.ClusterMetricWithName{
			Name:     metricName,
			Unit:     &u_new,
			Timestep: collectorTimestep[metricName],
			Data:     roundedData,
		}

		clusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)
	}

	return &clusterMetrics, nil
}

// NumberOfNodes is the resolver for the numberOfNodes field.
func (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {
	nodeList, err := archive.ParseNodeList(obj.Nodes)
	if err != nil {
		return 0, err
	}
	return nodeList.NodeCount(), nil
}

// Cluster returns generated.ClusterResolver implementation.
func (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }

// Job returns generated.JobResolver implementation.
func (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }

// MetricValue returns generated.MetricValueResolver implementation.
func (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }

// Mutation returns generated.MutationResolver implementation.
func (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }

// Node returns generated.NodeResolver implementation.
func (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }

// Query returns generated.QueryResolver implementation.
func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }

// SubCluster returns generated.SubClusterResolver implementation.
func (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }

type clusterResolver struct{ *Resolver }
type jobResolver struct{ *Resolver }
type metricValueResolver struct{ *Resolver }
type mutationResolver struct{ *Resolver }
type nodeResolver struct{ *Resolver }
type queryResolver struct{ *Resolver }
type subClusterResolver struct{ *Resolver }

-  data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)

+  data, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)


## Part 2d: Update dataLoader.go

Update `cacheKey` to include algorithm:


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)
}

func cacheKey(
	job *schema.Job,
	metrics []string,
	scopes []schema.MetricScope,
	resolution int,
	resampleAlgo string,
) string {
	return fmt.Sprintf("%d(%s):[%v],[%v]-%d-%s",
		*job.ID, job.State, metrics, scopes, resolution, resampleAlgo)
}


The file /Users/jan/tmp/cc-backend/internal/metricdispatch/dataLoader.go has been updated successfully.

func cacheKey(
	job *schema.Job,
	metrics []string,
	scopes []schema.MetricScope,
	resolution int,
	resampleAlgo string,
) string {
	return fmt.Sprintf("%d(%s):[%v],[%v]-%d-%s",
		*job.ID, job.State, metrics, scopes, resolution, resampleAlgo)
}

// 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/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 {

			ms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)
			if err != nil {
				cclog.Errorf("failed to access metricDataRepo for cluster %s-%s: %s",
					job.Cluster, job.SubCluster, err.Error())
				return err, 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 = ms.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, cluster: %s-%s): %s",
						job.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())
				} else {
					cclog.Warnf("failed to load job data 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 err, 0, 0
				}
			}
			size = jd.Size()
		} else {
			var jdTemp schema.JobData
			jdTemp, err = archive.GetHandle().LoadJobData(job)
			if err != nil {
				cclog.Warnf("failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s",
					job.JobID, job.User, job.Project, job.Cluster, job.SubCluster, 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 = 8
		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 {
		return archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?
	}

	ms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)
	if err != nil {
		cclog.Errorf("failed to access metricDataRepo for cluster %s-%s: %s",
			job.Cluster, job.SubCluster, err.Error())
		return err
	}

	stats, err := ms.LoadStats(job, metrics, ctx)
	if err != nil {
		cclog.Warnf("failed to load 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 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 {
		return archive.LoadScopedStatsFromArchive(job, metrics, scopes)
	}

	ms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)
	if err != nil {
		cclog.Errorf("failed to access metricDataRepo for cluster %s-%s: %s",
			job.Cluster, job.SubCluster, err.Error())
		return nil, 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
	}

	// Round Resulting Stat Values
	scopedStats.RoundScopedMetricStats()

	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 {
		return archive.LoadStatsFromArchive(job, metrics)
	}

	ms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)
	if err != nil {
		cclog.Errorf("failed to access metricDataRepo for cluster %s-%s: %s",
			job.Cluster, job.SubCluster, err.Error())
		return nil, err
	}

	data := make(map[string]schema.MetricStatistics, len(metrics))

	stats, err := ms.LoadStats(job, metrics, ctx)
	if err != nil {
		cclog.Warnf("failed to load 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 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.
// FIXME: Add support for subcluster specific cc-metric-stores
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)
		}
	}

	ms, err := GetMetricDataRepo(cluster, "")
	if err != nil {
		cclog.Errorf("failed to access metricDataRepo for cluster %s: %s",
			cluster, err.Error())
		return nil, err
	}

	data, err := ms.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.Warnf("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)
		}
	}

	ms, err := GetMetricDataRepo(cluster, subCluster)
	if err != nil {
		cclog.Errorf("failed to access metricDataRepo for cluster %s-%s: %s",
			cluster, subCluster, err.Error())
		return nil, err
	}

	data, err := ms.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.Warnf("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
}

-  return fmt.Sprintf("%d(%s):[%v],[%v]-%d",

-    *job.ID, job.State, metrics, scopes, resolution)

+  return fmt.Sprintf("%d(%s):[%v],[%v]-%d-%s",

+    *job.ID, job.State, metrics, scopes, resolution, resampleAlgo)


Now update `LoadData` signature and implementation:


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) {

func LoadData(job *schema.Job,
	metrics []string,
	scopes []schema.MetricScope,
	ctx context.Context,
	resolution int,
	resampleAlgo string,
) (schema.JobData, error) {
	data := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {