Regenerate GraphQL Api. Remove FilterRanger

This commit is contained in:
Jan Eitzinger 2022-09-12 13:33:01 +02:00
parent c64a935750
commit c0daad256f
6 changed files with 153 additions and 807 deletions

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@ -35,7 +35,6 @@ type Cluster {
name: String!
partitions: [String!]! # Slurm partitions
metricConfig: [MetricConfig!]!
filterRanges: FilterRanges!
subClusters: [SubCluster!]! # Hardware partitions/subclusters
}
@ -196,12 +195,6 @@ type Mutation {
type IntRangeOutput { from: Int!, to: Int! }
type TimeRangeOutput { from: Time!, to: Time! }
type FilterRanges {
duration: IntRangeOutput!
numNodes: IntRangeOutput!
startTime: TimeRangeOutput!
}
input JobFilter {
tags: [ID!]
jobId: StringInput

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@ -30,7 +30,7 @@ resolver:
# gqlgen will search for any type names in the schema in these go packages
# if they match it will use them, otherwise it will generate them.
autobind:
- "github.com/ClusterCockpit/cc-backend/pkg/schema"
- "github.com/ClusterCockpit/cc-backend/internal/graph/model"
# This section declares type mapping between the GraphQL and go type systems
#
@ -57,6 +57,7 @@ models:
metaData:
resolver: true
Cluster:
model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Cluster"
fields:
partitions:
resolver: true
@ -66,7 +67,15 @@ models:
Tag: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Tag" }
Resource: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Resource" }
JobState: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.JobState" }
TimeRange: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.TimeRange" }
IntRange: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.IntRange" }
JobMetric: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.JobMetric" }
Series: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Series" }
MetricStatistics: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.MetricStatistics" }
MetricConfig: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.MetricConfig" }
SubClusterConfig: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.SubClusterConfig" }
Accelerator: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Accelerator" }
Topology: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Topology" }
FilterRanges: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.FilterRanges" }
SubCluster: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.SubCluster" }
StatsSeries: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.StatsSeries" }

File diff suppressed because it is too large Load Diff

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@ -17,8 +17,8 @@ type Count struct {
}
type FloatRange struct {
From schema.Float `json:"from"`
To schema.Float `json:"to"`
From float64 `json:"from"`
To float64 `json:"to"`
}
type Footprints struct {

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@ -24,26 +24,6 @@ func (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) (
return r.Repo.Partitions(obj.Name)
}
// FilterRanges is the resolver for the filterRanges field.
func (r *clusterResolver) FilterRanges(ctx context.Context, obj *schema.Cluster) (*schema.FilterRanges, error) {
panic(fmt.Errorf("not implemented: FilterRanges - filterRanges"))
}
// Duration is the resolver for the duration field.
func (r *filterRangesResolver) Duration(ctx context.Context, obj *schema.FilterRanges) (*model.IntRangeOutput, error) {
panic(fmt.Errorf("not implemented: Duration - duration"))
}
// NumNodes is the resolver for the numNodes field.
func (r *filterRangesResolver) NumNodes(ctx context.Context, obj *schema.FilterRanges) (*model.IntRangeOutput, error) {
panic(fmt.Errorf("not implemented: NumNodes - numNodes"))
}
// StartTime is the resolver for the startTime field.
func (r *filterRangesResolver) StartTime(ctx context.Context, obj *schema.FilterRanges) (*model.TimeRangeOutput, error) {
panic(fmt.Errorf("not implemented: StartTime - startTime"))
}
// 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(&obj.ID)
@ -59,41 +39,6 @@ func (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.Use
return auth.FetchUser(ctx, r.DB, obj.User)
}
// Peak is the resolver for the peak field.
func (r *metricConfigResolver) Peak(ctx context.Context, obj *schema.MetricConfig) (*schema.Float, error) {
panic(fmt.Errorf("not implemented: Peak - peak"))
}
// Normal is the resolver for the normal field.
func (r *metricConfigResolver) Normal(ctx context.Context, obj *schema.MetricConfig) (*schema.Float, error) {
panic(fmt.Errorf("not implemented: Normal - normal"))
}
// Caution is the resolver for the caution field.
func (r *metricConfigResolver) Caution(ctx context.Context, obj *schema.MetricConfig) (*schema.Float, error) {
panic(fmt.Errorf("not implemented: Caution - caution"))
}
// Alert is the resolver for the alert field.
func (r *metricConfigResolver) Alert(ctx context.Context, obj *schema.MetricConfig) (*schema.Float, error) {
panic(fmt.Errorf("not implemented: Alert - alert"))
}
// Avg is the resolver for the avg field.
func (r *metricStatisticsResolver) Avg(ctx context.Context, obj *schema.MetricStatistics) (schema.Float, error) {
panic(fmt.Errorf("not implemented: Avg - avg"))
}
// Min is the resolver for the min field.
func (r *metricStatisticsResolver) Min(ctx context.Context, obj *schema.MetricStatistics) (schema.Float, error) {
panic(fmt.Errorf("not implemented: Min - min"))
}
// Max is the resolver for the max field.
func (r *metricStatisticsResolver) Max(ctx context.Context, obj *schema.MetricStatistics) (schema.Float, error) {
panic(fmt.Errorf("not implemented: Max - max"))
}
// CreateTag is the resolver for the createTag field.
func (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string) (*schema.Tag, error) {
id, err := r.Repo.CreateTag(typeArg, name)
@ -155,8 +100,7 @@ func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, ta
// 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, ctx); err != nil {
if err := repository.GetUserCfgRepo().UpdateConfig(name, value, auth.GetUser(ctx)); err != nil {
return nil, err
}
@ -296,7 +240,7 @@ func (r *queryResolver) JobsCount(ctx context.Context, filter []*model.JobFilter
}
// RooflineHeatmap is the resolver for the rooflineHeatmap field.
func (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX schema.Float, minY schema.Float, maxX schema.Float, maxY schema.Float) ([][]schema.Float, error) {
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)
}
@ -341,59 +285,19 @@ func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes [
return nodeMetrics, nil
}
// Peak is the resolver for the peak field.
func (r *subClusterConfigResolver) Peak(ctx context.Context, obj *schema.SubClusterConfig) (schema.Float, error) {
panic(fmt.Errorf("not implemented: Peak - peak"))
}
// Normal is the resolver for the normal field.
func (r *subClusterConfigResolver) Normal(ctx context.Context, obj *schema.SubClusterConfig) (schema.Float, error) {
panic(fmt.Errorf("not implemented: Normal - normal"))
}
// Caution is the resolver for the caution field.
func (r *subClusterConfigResolver) Caution(ctx context.Context, obj *schema.SubClusterConfig) (schema.Float, error) {
panic(fmt.Errorf("not implemented: Caution - caution"))
}
// Alert is the resolver for the alert field.
func (r *subClusterConfigResolver) Alert(ctx context.Context, obj *schema.SubClusterConfig) (schema.Float, error) {
panic(fmt.Errorf("not implemented: Alert - alert"))
}
// Cluster returns generated.ClusterResolver implementation.
func (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }
// FilterRanges returns generated.FilterRangesResolver implementation.
func (r *Resolver) FilterRanges() generated.FilterRangesResolver { return &filterRangesResolver{r} }
// Job returns generated.JobResolver implementation.
func (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }
// MetricConfig returns generated.MetricConfigResolver implementation.
func (r *Resolver) MetricConfig() generated.MetricConfigResolver { return &metricConfigResolver{r} }
// MetricStatistics returns generated.MetricStatisticsResolver implementation.
func (r *Resolver) MetricStatistics() generated.MetricStatisticsResolver {
return &metricStatisticsResolver{r}
}
// Mutation returns generated.MutationResolver implementation.
func (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }
// Query returns generated.QueryResolver implementation.
func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }
// SubClusterConfig returns generated.SubClusterConfigResolver implementation.
func (r *Resolver) SubClusterConfig() generated.SubClusterConfigResolver {
return &subClusterConfigResolver{r}
}
type clusterResolver struct{ *Resolver }
type filterRangesResolver struct{ *Resolver }
type jobResolver struct{ *Resolver }
type metricConfigResolver struct{ *Resolver }
type metricStatisticsResolver struct{ *Resolver }
type mutationResolver struct{ *Resolver }
type queryResolver struct{ *Resolver }
type subClusterConfigResolver struct{ *Resolver }

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@ -204,13 +204,8 @@ func (r *queryResolver) rooflineHeatmap(
ctx context.Context,
filter []*model.JobFilter,
rows int, cols int,
minXF schema.Float, minYF schema.Float, maxXF schema.Float, maxYF schema.Float) ([][]schema.Float, error) {
minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {
var minX, minY, maxX, maxY float64
minX = float64(minXF)
minY = float64(minYF)
maxX = float64(maxXF)
maxY = float64(maxYF)
jobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)
if err != nil {
return nil, err
@ -221,9 +216,9 @@ func (r *queryResolver) rooflineHeatmap(
fcols, frows := float64(cols), float64(rows)
minX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)
tiles := make([][]schema.Float, rows)
tiles := make([][]float64, rows)
for i := range tiles {
tiles[i] = make([]schema.Float, cols)
tiles[i] = make([]float64, cols)
}
for _, job := range jobs {