// 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) {
	// Resolve resolution: explicit param > user policy > global config > 0
	duration := int64(to.Sub(from).Seconds())
	if resolution == nil {
		resolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)
	}
	if resolution == nil {
		if config.Keys.EnableResampling != nil {
			defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)
			resolution = &defaultRes
		} else {
			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)
		}
	}

	algoName := resolveResampleAlgo(ctx, resampleAlgo)

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

	// Resolve resolution: explicit param > user policy > global config > 0
	if resolution == nil {
		resolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)
	}
	if resolution == nil {
		if config.Keys.EnableResampling != nil {
			defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)
			resolution = &defaultRes
		} else {
			defaultRes := 0
			resolution = &defaultRes
		}
	}

	algoName := resolveResampleAlgo(ctx, resampleAlgo)

	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)
		}
	}

	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
	}

	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 }

+  duration := int64(to.Sub(from).Seconds())

+    resolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)


Now I need to add the helper functions. Let me find a good place for them — I'll add them at the end of the file or create a small helper file in the graph package.


  1000→				}
  1001→				// Collect Data
  1002→				for _, ser := range scopedMetric.Series {
  1003→					_, okData := collectorData[metric]
  1004→					// Init With Datasize > 0
  1005→					if !okData && len(ser.Data) != 0 {
  1006→						collectorData[metric] = make([]schema.Float, len(ser.Data))
  1007→					} else if !okData {
  1008→						cclog.Debugf("[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d", metric, ser.Hostname, len(ser.Data))
  1009→					}
  1010→					// Sum if init'd and matching size
  1011→					if okData && len(ser.Data) == len(collectorData[metric]) {
  1012→						for i, val := range ser.Data {
  1013→							if val.IsNaN() {
  1014→								continue
  1015→							} else {
  1016→								collectorData[metric][i] += val
  1017→							}
  1018→						}
  1019→					} else if okData {
  1020→						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))
  1021→					}
  1022→				}
  1023→			}
  1024→		}
  1025→	}
  1026→
  1027→	for metricName, data := range collectorData {
  1028→		// use ccUnits for backend normalization to "Tera"
  1029→		p_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)

				}
				// 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)


Bash

Check end of resolvers file


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


I'll create a separate file for these helpers since `schema.resolvers.go` is auto-generated.


Write

// 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 graph

import (
	"context"
	"strings"

	"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"
)

// resolveResolutionFromPolicy reads the user's resample policy preference and
// computes a resolution based on job duration and metric frequency. Returns nil
// if the user has no policy set.
func resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil
	}

	conf, err := repository.GetUserCfgRepo().GetUIConfig(user)
	if err != nil {
		return nil
	}

	policyVal, ok := conf["plotConfiguration_resamplePolicy"]
	if !ok {
		return nil
	}
	policyStr, ok := policyVal.(string)
	if !ok || policyStr == "" {
		return nil
	}

	policy := metricdispatch.ResamplePolicy(policyStr)
	targetPoints := metricdispatch.TargetPointsForPolicy(policy)
	if targetPoints == 0 {
		return nil
	}

	// Find the smallest metric frequency across the requested metrics
	frequency := smallestFrequency(cluster, metrics)
	if frequency <= 0 {
		return nil
	}

	res := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)
	return &res
}

// resolveResampleAlgo returns the resampling algorithm name to use, checking
// the explicit GraphQL parameter first, then the user's preference.
func resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {
	if resampleAlgo != nil {
		return strings.ToLower(resampleAlgo.String())
	}

	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return ""
	}

	conf, err := repository.GetUserCfgRepo().GetUIConfig(user)
	if err != nil {
		return ""
	}

	algoVal, ok := conf["plotConfiguration_resampleAlgo"]
	if !ok {
		return ""
	}
	algoStr, ok := algoVal.(string)
	if !ok {
		return ""
	}

	return algoStr
}

// smallestFrequency returns the smallest metric timestep (in seconds) among the
// requested metrics for the given cluster. Falls back to 0 if nothing is found.
func smallestFrequency(cluster string, metrics []string) int {
	cl := archive.GetCluster(cluster)
	if cl == nil {
		return 0
	}

	minFreq := 0
	for _, mc := range cl.MetricConfig {
		if len(metrics) > 0 {
			found := false
			for _, m := range metrics {
				if mc.Name == m {
					found = true
					break
				}
			}
			if !found {
				continue
			}
		}
		if minFreq == 0 || mc.Timestep < minFreq {
			minFreq = mc.Timestep
		}
	}

	return minFreq
}


File created successfully at: /Users/jan/tmp/cc-backend/internal/graph/resample.go

// 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 graph

import (
	"context"
	"strings"

	"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"
)

// resolveResolutionFromPolicy reads the user's resample policy preference and
// computes a resolution based on job duration and metric frequency. Returns nil
// if the user has no policy set.
func resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {
	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return nil
	}

	conf, err := repository.GetUserCfgRepo().GetUIConfig(user)
	if err != nil {
		return nil
	}

	policyVal, ok := conf["plotConfiguration_resamplePolicy"]
	if !ok {
		return nil
	}
	policyStr, ok := policyVal.(string)
	if !ok || policyStr == "" {
		return nil
	}

	policy := metricdispatch.ResamplePolicy(policyStr)
	targetPoints := metricdispatch.TargetPointsForPolicy(policy)
	if targetPoints == 0 {
		return nil
	}

	// Find the smallest metric frequency across the requested metrics
	frequency := smallestFrequency(cluster, metrics)
	if frequency <= 0 {
		return nil
	}

	res := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)
	return &res
}

// resolveResampleAlgo returns the resampling algorithm name to use, checking
// the explicit GraphQL parameter first, then the user's preference.
func resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {
	if resampleAlgo != nil {
		return strings.ToLower(resampleAlgo.String())
	}

	user := repository.GetUserFromContext(ctx)
	if user == nil {
		return ""
	}

	conf, err := repository.GetUserCfgRepo().GetUIConfig(user)
	if err != nil {
		return ""
	}

	algoVal, ok := conf["plotConfiguration_resampleAlgo"]
	if !ok {
		return ""
	}
	algoStr, ok := algoVal.(string)
	if !ok {
		return ""
	}

	return algoStr
}

// smallestFrequency returns the smallest metric timestep (in seconds) among the
// requested metrics for the given cluster. Falls back to 0 if nothing is found.
func smallestFrequency(cluster string, metrics []string) int {
	cl := archive.GetCluster(cluster)
	if cl == nil {
		return 0
	}

	minFreq := 0
	for _, mc := range cl.MetricConfig {
		if len(metrics) > 0 {
			found := false
			for _, m := range metrics {
				if mc.Name == m {
					found = true
					break
				}
			}
			if !found {
				continue
			}
		}
		if minFreq == 0 || mc.Timestep < minFreq {
			minFreq = mc.Timestep
		}
	}

	return minFreq
}


Now let me update the frontend files. First, update `MetricPlot.svelte` to support policy-based dynamic resolution.


    75→  const usesMeanStatsSeries = $derived((statisticsSeries?.mean && statisticsSeries.mean.length != 0));
    76→  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : null);
    77→  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);
    78→  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);
    79→  const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists
    80→  const thresholds = $derived(findJobAggregationThresholds(
    81→    subClusterTopology,
    82→    metricConfig,
    83→    scope
    84→  ));

  const usesMeanStatsSeries = $derived((statisticsSeries?.mean && statisticsSeries.mean.length != 0));
  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : null);
  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);
  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);
  const useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists
  const thresholds = $derived(findJobAggregationThresholds(
    subClusterTopology,
    metricConfig,
    scope
  ));


Let me fix the type issue in the resolver first.


Edit

resolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)

resolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)


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

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

	// Resolve resolution: explicit param > user policy > global config > 0
	if resolution == nil {
		resolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)
	}
	if resolution == nil {
		if config.Keys.EnableResampling != nil {
			defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)
			resolution = &defaultRes
		} else {
			defaultRes := 0
			resolution = &defaultRes
		}
	}

	algoName := resolveResampleAlgo(ctx, resampleAlgo)

	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) {
	// Resolve resolution: explicit param > user policy > global config > 0
	duration := int64(to.Sub(from).Seconds())
	if resolution == nil {
		resolution = resolveResolutionFromPolicy(ctx, duration, cluster, metrics)
	}
	if resolution == nil {
		if config.Keys.EnableResampling != nil {
			defaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)
			resolution = &defaultRes
		} else {
			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)
		}
	}

	algoName := resolveResampleAlgo(ctx, resampleAlgo)

	// 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
	}

	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 }

-    resolution = resolveResolutionFromPolicy(ctx, job.Duration, job.Cluster, metrics)

+    resolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)


Now update the MetricPlot.svelte derived values and setScale hook.


  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : null);
  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);
  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);

  const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));
  const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);
  const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);
  const resampleTargetPoints = $derived(resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null);