cost-model/pkg/kubecost/allocation.go

package kubecost

import (
	"bytes"
	"fmt"
	"sort"
	"strings"
	"sync"
	"time"

	"github.com/kubecost/cost-model/pkg/log"
	"github.com/kubecost/cost-model/pkg/util"
	"github.com/kubecost/cost-model/pkg/util/json"
)

// TODO Clean-up use of IsEmpty; nil checks should be separated for safety.

// TODO Consider making Allocation an interface, which is fulfilled by structs
// like KubernetesAllocation, IdleAllocation, and ExternalAllocation.

// ExternalSuffix indicates an external allocation
const ExternalSuffix = "__external__"

// IdleSuffix indicates an idle allocation property
const IdleSuffix = "__idle__"

// SharedSuffix indicates an shared allocation property
const SharedSuffix = "__shared__"

// UnallocatedSuffix indicates an unallocated allocation property
const UnallocatedSuffix = "__unallocated__"

// UnmountedSuffix indicated allocation to an unmounted PV
const UnmountedSuffix = "__unmounted__"

// ShareWeighted indicates that a shared resource should be shared as a
// proportion of the cost of the remaining allocations.
const ShareWeighted = "__weighted__"

// ShareEven indicates that a shared resource should be shared evenly across
// all remaining allocations.
const ShareEven = "__even__"

// ShareNone indicates that a shareable resource should not be shared
const ShareNone = "__none__"

// Allocation is a unit of resource allocation and cost for a given window
// of time and for a given kubernetes construct with its associated set of
// properties.
// TODO:CLEANUP consider dropping name in favor of just AllocationProperties and an
// Assets-style key() function for AllocationSet.
type Allocation struct {
	Name                   string                `json:"name"`
	Properties             *AllocationProperties `json:"properties,omitempty"`
	Window                 Window                `json:"window"`
	Start                  time.Time             `json:"start"`
	End                    time.Time             `json:"end"`
	CPUCoreHours           float64               `json:"cpuCoreHours"`
	CPUCoreRequestAverage  float64               `json:"cpuCoreRequestAverage"`
	CPUCoreUsageAverage    float64               `json:"cpuCoreUsageAverage"`
	CPUCost                float64               `json:"cpuCost"`
	CPUCostAdjustment      float64               `json:"cpuCostAdjustment"`
	GPUHours               float64               `json:"gpuHours"`
	GPUCost                float64               `json:"gpuCost"`
	GPUCostAdjustment      float64               `json:"gpuCostAdjustment"`
	NetworkCost            float64               `json:"networkCost"`
	LoadBalancerCost       float64               `json:"loadBalancerCost"`
	PVs                    PVAllocations         `json:"-"`
	PVCostAdjustment       float64               `json:"pvCostAdjustment"`
	RAMByteHours           float64               `json:"ramByteHours"`
	RAMBytesRequestAverage float64               `json:"ramByteRequestAverage"`
	RAMBytesUsageAverage   float64               `json:"ramByteUsageAverage"`
	RAMCost                float64               `json:"ramCost"`
	RAMCostAdjustment      float64               `json:"ramCostAdjustment"`
	SharedCost             float64               `json:"sharedCost"`
	ExternalCost           float64               `json:"externalCost"`
	// RawAllocationOnly is a pointer so if it is not present it will be
	// marshalled as null rather than as an object with Go default values.
	RawAllocationOnly *RawAllocationOnlyData `json:"rawAllocationOnly"`
}

// RawAllocationOnlyData is information that only belong in "raw" Allocations,
// those which have not undergone aggregation, accumulation, or any other form
// of combination to produce a new Allocation from other Allocations.
//
// Max usage data belongs here because computing the overall maximum from two
// or more Allocations is a non-trivial operation that cannot be defined without
// maintaining a large amount of state. Consider the following example:
// _______________________________________________
//
// A1 Using 3 CPU    ----      -----     ------
// A2 Using 2 CPU      ----      -----      ----
// A3 Using 1 CPU         ---       --
// _______________________________________________
//                   Time ---->
//
// The logical maximum CPU usage is 5, but this cannot be calculated iteratively,
// which is how we calculate aggregations and accumulations of Allocations currently.
// This becomes a problem I could call "maximum sum of overlapping intervals" and is
// essentially a variant of an interval scheduling algorithm.
//
// If we had types to differentiate between regular Allocations and AggregatedAllocations
// then this type would be unnecessary and its fields would go into the regular Allocation
// and not in the AggregatedAllocation.
type RawAllocationOnlyData struct {
	CPUCoreUsageMax  float64 `json:"cpuCoreUsageMax"`
	RAMBytesUsageMax float64 `json:"ramByteUsageMax"`
}

// PVAllocations is a map of Disk Asset Identifiers to the
// usage of them by an Allocation as recorded in a PVAllocation
type PVAllocations map[PVKey]*PVAllocation

// Clone creates a deep copy of a PVAllocations
func (pv *PVAllocations) Clone() PVAllocations {
	if pv == nil || *pv == nil {
		return nil
	}
	apv := *pv
	clonePV := PVAllocations{}
	for k, v := range apv {
		clonePV[k] = &PVAllocation{
			ByteHours: v.ByteHours,
			Cost:      v.Cost,
		}
	}
	return clonePV
}

// Add adds contents of that to the calling PVAllocations
func (pv *PVAllocations) Add(that PVAllocations) PVAllocations {
	apv := pv.Clone()
	if that != nil {
		if apv == nil {
			apv = PVAllocations{}
		}
		for pvKey, thatPVAlloc := range that {
			apvAlloc, ok := apv[pvKey]
			if !ok {
				apvAlloc = &PVAllocation{}
			}
			apvAlloc.Cost += thatPVAlloc.Cost
			apvAlloc.ByteHours += thatPVAlloc.ByteHours
			apv[pvKey] = apvAlloc
		}
	}
	return apv
}

// PVKey for identifying Disk type assets
type PVKey struct {
	Cluster string `json:"cluster"`
	Name    string `json:"name"`
}

// PVAllocation contains the byte hour usage
// and cost of an Allocation for a single PV
type PVAllocation struct {
	ByteHours float64 `json:"byteHours"`
	Cost      float64 `json:"cost"`
}

// AllocationMatchFunc is a function that can be used to match Allocations by
// returning true for any given Allocation if a condition is met.
type AllocationMatchFunc func(*Allocation) bool

// Add returns the result of summing the two given Allocations, which sums the
// summary fields (e.g. costs, resources) and recomputes efficiency. Neither of
// the two original Allocations are mutated in the process.
func (a *Allocation) Add(that *Allocation) (*Allocation, error) {
	if a == nil {
		return that.Clone(), nil
	}

	if that == nil {
		return a.Clone(), nil
	}

	// Note: no need to clone "that", as add only mutates the receiver
	agg := a.Clone()
	agg.add(that)

	return agg, nil
}

// Clone returns a deep copy of the given Allocation
func (a *Allocation) Clone() *Allocation {
	if a == nil {
		return nil
	}

	return &Allocation{
		Name:                   a.Name,
		Properties:             a.Properties.Clone(),
		Window:                 a.Window.Clone(),
		Start:                  a.Start,
		End:                    a.End,
		CPUCoreHours:           a.CPUCoreHours,
		CPUCoreRequestAverage:  a.CPUCoreRequestAverage,
		CPUCoreUsageAverage:    a.CPUCoreUsageAverage,
		CPUCost:                a.CPUCost,
		CPUCostAdjustment:      a.CPUCostAdjustment,
		GPUHours:               a.GPUHours,
		GPUCost:                a.GPUCost,
		GPUCostAdjustment:      a.GPUCostAdjustment,
		NetworkCost:            a.NetworkCost,
		LoadBalancerCost:       a.LoadBalancerCost,
		PVs:                    a.PVs.Clone(),
		PVCostAdjustment:       a.PVCostAdjustment,
		RAMByteHours:           a.RAMByteHours,
		RAMBytesRequestAverage: a.RAMBytesRequestAverage,
		RAMBytesUsageAverage:   a.RAMBytesUsageAverage,
		RAMCost:                a.RAMCost,
		RAMCostAdjustment:      a.RAMCostAdjustment,
		SharedCost:             a.SharedCost,
		ExternalCost:           a.ExternalCost,
		RawAllocationOnly:      a.RawAllocationOnly.Clone(),
	}
}

// Clone returns a deep copy of the given RawAllocationOnlyData
func (r *RawAllocationOnlyData) Clone() *RawAllocationOnlyData {
	if r == nil {
		return nil
	}

	return &RawAllocationOnlyData{
		CPUCoreUsageMax:  r.CPUCoreUsageMax,
		RAMBytesUsageMax: r.RAMBytesUsageMax,
	}
}

// Equal returns true if the values held in the given Allocation precisely
// match those of the receiving Allocation. nil does not match nil. Floating
// point values need to match according to util.IsApproximately, which accounts
// for small, reasonable floating point error margins.
func (a *Allocation) Equal(that *Allocation) bool {
	if a == nil || that == nil {
		return false
	}

	if a.Name != that.Name {
		return false
	}
	if !a.Properties.Equal(that.Properties) {
		return false
	}
	if !a.Window.Equal(that.Window) {
		return false
	}
	if !a.Start.Equal(that.Start) {
		return false
	}
	if !a.End.Equal(that.End) {
		return false
	}
	if !util.IsApproximately(a.CPUCoreHours, that.CPUCoreHours) {
		return false
	}
	if !util.IsApproximately(a.CPUCost, that.CPUCost) {
		return false
	}
	if !util.IsApproximately(a.CPUCostAdjustment, that.CPUCostAdjustment) {
		return false
	}
	if !util.IsApproximately(a.GPUHours, that.GPUHours) {
		return false
	}
	if !util.IsApproximately(a.GPUCost, that.GPUCost) {
		return false
	}
	if !util.IsApproximately(a.GPUCostAdjustment, that.GPUCostAdjustment) {
		return false
	}
	if !util.IsApproximately(a.NetworkCost, that.NetworkCost) {
		return false
	}
	if !util.IsApproximately(a.LoadBalancerCost, that.LoadBalancerCost) {
		return false
	}

	if !util.IsApproximately(a.PVCostAdjustment, that.PVCostAdjustment) {
		return false
	}
	if !util.IsApproximately(a.RAMByteHours, that.RAMByteHours) {
		return false
	}
	if !util.IsApproximately(a.RAMCost, that.RAMCost) {
		return false
	}
	if !util.IsApproximately(a.RAMCostAdjustment, that.RAMCostAdjustment) {
		return false
	}
	if !util.IsApproximately(a.SharedCost, that.SharedCost) {
		return false
	}
	if !util.IsApproximately(a.ExternalCost, that.ExternalCost) {
		return false
	}

	if a.RawAllocationOnly == nil && that.RawAllocationOnly != nil {
		return false
	}
	if a.RawAllocationOnly != nil && that.RawAllocationOnly == nil {
		return false
	}

	if a.RawAllocationOnly != nil && that.RawAllocationOnly != nil {
		if !util.IsApproximately(a.RawAllocationOnly.CPUCoreUsageMax, that.RawAllocationOnly.CPUCoreUsageMax) {
			return false
		}
		if !util.IsApproximately(a.RawAllocationOnly.RAMBytesUsageMax, that.RawAllocationOnly.RAMBytesUsageMax) {
			return false
		}
	}

	aPVs := a.PVs
	thatPVs := that.PVs
	if len(aPVs) == len(thatPVs) {
		for k, pv := range aPVs {
			tv, ok := thatPVs[k]
			if !ok || *tv != *pv {
				return false
			}
		}
	} else {
		return false
	}
	return true
}

// TotalCost is the total cost of the Allocation including adjustments
func (a *Allocation) TotalCost() float64 {
	return a.CPUTotalCost() + a.GPUTotalCost() + a.RAMTotalCost() + a.PVTotalCost() + a.NetworkCost + a.SharedCost + a.ExternalCost + a.LoadBalancerCost
}

// CPUTotalCost calculates total CPU cost of Allocation including adjustment
func (a *Allocation) CPUTotalCost() float64 {
	return a.CPUCost + a.CPUCostAdjustment
}

// GPUTotalCost calculates total GPU cost of Allocation including adjustment
func (a *Allocation) GPUTotalCost() float64 {
	return a.GPUCost + a.GPUCostAdjustment
}

// RAMTotalCost calculates total RAM cost of Allocation including adjustment
func (a *Allocation) RAMTotalCost() float64 {
	return a.RAMCost + a.RAMCostAdjustment
}

// PVTotalCost calculates total PV cost of Allocation including adjustment
func (a *Allocation) PVTotalCost() float64 {
	return a.PVCost() + a.PVCostAdjustment
}

// PVCost calculate cumulative cost of all PVs that Allocation is attached to
func (a *Allocation) PVCost() float64 {
	cost := 0.0
	for _, pv := range a.PVs {
		cost += pv.Cost
	}
	return cost
}

// PVByteHours calculate cumulative ByteHours of all PVs that Allocation is attached to
func (a *Allocation) PVByteHours() float64 {
	byteHours := 0.0
	for _, pv := range a.PVs {
		byteHours += pv.ByteHours
	}
	return byteHours
}

// CPUEfficiency is the ratio of usage to request. If there is no request and
// no usage or cost, then efficiency is zero. If there is no request, but there
// is usage or cost, then efficiency is 100%.
func (a *Allocation) CPUEfficiency() float64 {
	if a.CPUCoreRequestAverage > 0 {
		return a.CPUCoreUsageAverage / a.CPUCoreRequestAverage
	}

	if a.CPUCoreUsageAverage == 0.0 || a.CPUCost == 0.0 {
		return 0.0
	}

	return 1.0
}

// RAMEfficiency is the ratio of usage to request. If there is no request and
// no usage or cost, then efficiency is zero. If there is no request, but there
// is usage or cost, then efficiency is 100%.
func (a *Allocation) RAMEfficiency() float64 {
	if a.RAMBytesRequestAverage > 0 {
		return a.RAMBytesUsageAverage / a.RAMBytesRequestAverage
	}

	if a.RAMBytesUsageAverage == 0.0 || a.RAMCost == 0.0 {
		return 0.0
	}

	return 1.0
}

// TotalEfficiency is the cost-weighted average of CPU and RAM efficiency. If
// there is no cost at all, then efficiency is zero.
func (a *Allocation) TotalEfficiency() float64 {
	if a.RAMTotalCost()+a.CPUTotalCost() > 0 {
		ramCostEff := a.RAMEfficiency() * a.RAMTotalCost()
		cpuCostEff := a.CPUEfficiency() * a.CPUTotalCost()
		return (ramCostEff + cpuCostEff) / (a.CPUTotalCost() + a.RAMTotalCost())
	}

	return 0.0
}

// CPUCores converts the Allocation's CPUCoreHours into average CPUCores
func (a *Allocation) CPUCores() float64 {
	if a.Minutes() <= 0.0 {
		return 0.0
	}
	return a.CPUCoreHours / (a.Minutes() / 60.0)
}

// RAMBytes converts the Allocation's RAMByteHours into average RAMBytes
func (a *Allocation) RAMBytes() float64 {
	if a.Minutes() <= 0.0 {
		return 0.0
	}
	return a.RAMByteHours / (a.Minutes() / 60.0)
}

// GPUs converts the Allocation's GPUHours into average GPUs
func (a *Allocation) GPUs() float64 {
	if a.Minutes() <= 0.0 {
		return 0.0
	}
	return a.GPUHours / (a.Minutes() / 60.0)
}

// PVBytes converts the Allocation's PVByteHours into average PVBytes
func (a *Allocation) PVBytes() float64 {
	if a.Minutes() <= 0.0 {
		return 0.0
	}
	return a.PVByteHours() / (a.Minutes() / 60.0)
}

// MarshalJSON implements json.Marshaler interface
func (a *Allocation) MarshalJSON() ([]byte, error) {
	buffer := bytes.NewBufferString("{")
	jsonEncodeString(buffer, "name", a.Name, ",")
	jsonEncode(buffer, "properties", a.Properties, ",")
	jsonEncode(buffer, "window", a.Window, ",")
	jsonEncodeString(buffer, "start", a.Start.Format(time.RFC3339), ",")
	jsonEncodeString(buffer, "end", a.End.Format(time.RFC3339), ",")
	jsonEncodeFloat64(buffer, "minutes", a.Minutes(), ",")
	jsonEncodeFloat64(buffer, "cpuCores", a.CPUCores(), ",")
	jsonEncodeFloat64(buffer, "cpuCoreRequestAverage", a.CPUCoreRequestAverage, ",")
	jsonEncodeFloat64(buffer, "cpuCoreUsageAverage", a.CPUCoreUsageAverage, ",")
	jsonEncodeFloat64(buffer, "cpuCoreHours", a.CPUCoreHours, ",")
	jsonEncodeFloat64(buffer, "cpuCost", a.CPUCost, ",")
	jsonEncodeFloat64(buffer, "cpuCostAdjustment", a.CPUCostAdjustment, ",")
	jsonEncodeFloat64(buffer, "cpuEfficiency", a.CPUEfficiency(), ",")
	jsonEncodeFloat64(buffer, "gpuCount", a.GPUs(), ",")
	jsonEncodeFloat64(buffer, "gpuHours", a.GPUHours, ",")
	jsonEncodeFloat64(buffer, "gpuCost", a.GPUCost, ",")
	jsonEncodeFloat64(buffer, "gpuCostAdjustment", a.GPUCostAdjustment, ",")
	jsonEncodeFloat64(buffer, "networkCost", a.NetworkCost, ",")
	jsonEncodeFloat64(buffer, "loadBalancerCost", a.LoadBalancerCost, ",")
	jsonEncodeFloat64(buffer, "pvBytes", a.PVBytes(), ",")
	jsonEncodeFloat64(buffer, "pvByteHours", a.PVByteHours(), ",")
	jsonEncodeFloat64(buffer, "pvCost", a.PVCost(), ",")
	jsonEncode(buffer, "pvs", a.PVs, ",") // Todo Sean: this does not work properly
	jsonEncodeFloat64(buffer, "pvCostAdjustment", a.PVCostAdjustment, ",")
	jsonEncodeFloat64(buffer, "ramBytes", a.RAMBytes(), ",")
	jsonEncodeFloat64(buffer, "ramByteRequestAverage", a.RAMBytesRequestAverage, ",")
	jsonEncodeFloat64(buffer, "ramByteUsageAverage", a.RAMBytesUsageAverage, ",")
	jsonEncodeFloat64(buffer, "ramByteHours", a.RAMByteHours, ",")
	jsonEncodeFloat64(buffer, "ramCost", a.RAMCost, ",")
	jsonEncodeFloat64(buffer, "ramCostAdjustment", a.RAMCostAdjustment, ",")
	jsonEncodeFloat64(buffer, "ramEfficiency", a.RAMEfficiency(), ",")
	jsonEncodeFloat64(buffer, "sharedCost", a.SharedCost, ",")
	jsonEncodeFloat64(buffer, "externalCost", a.ExternalCost, ",")
	jsonEncodeFloat64(buffer, "totalCost", a.TotalCost(), ",")
	jsonEncodeFloat64(buffer, "totalEfficiency", a.TotalEfficiency(), ",")
	jsonEncode(buffer, "rawAllocationOnly", a.RawAllocationOnly, "")
	buffer.WriteString("}")
	return buffer.Bytes(), nil
}

// Resolution returns the duration of time covered by the Allocation
func (a *Allocation) Resolution() time.Duration {
	return a.End.Sub(a.Start)
}

// IsAggregated is true if the given Allocation has been aggregated, which we
// define by a lack of AllocationProperties.
func (a *Allocation) IsAggregated() bool {
	return a == nil || a.Properties == nil
}

// IsExternal is true if the given Allocation represents external costs.
func (a *Allocation) IsExternal() bool {
	return strings.Contains(a.Name, ExternalSuffix)
}

// IsIdle is true if the given Allocation represents idle costs.
func (a *Allocation) IsIdle() bool {
	return strings.Contains(a.Name, IdleSuffix)
}

// IsUnallocated is true if the given Allocation represents unallocated costs.
func (a *Allocation) IsUnallocated() bool {
	return strings.Contains(a.Name, UnallocatedSuffix)
}

// Minutes returns the number of minutes the Allocation represents, as defined
// by the difference between the end and start times.
func (a *Allocation) Minutes() float64 {
	return a.End.Sub(a.Start).Minutes()
}

// Share adds the TotalCost of the given Allocation to the SharedCost of the
// receiving Allocation. No Start, End, Window, or AllocationProperties are considered.
// Neither Allocation is mutated; a new Allocation is always returned.
func (a *Allocation) Share(that *Allocation) (*Allocation, error) {
	if that == nil {
		return a.Clone(), nil
	}

	if a == nil {
		return nil, fmt.Errorf("cannot share with nil Allocation")
	}

	agg := a.Clone()
	agg.SharedCost += that.TotalCost()

	return agg, nil
}

// String represents the given Allocation as a string
func (a *Allocation) String() string {
	return fmt.Sprintf("%s%s=%.2f", a.Name, NewWindow(&a.Start, &a.End), a.TotalCost())
}

func (a *Allocation) add(that *Allocation) {
	if a == nil {
		log.Warningf("Allocation.AggregateBy: trying to add a nil receiver")
		return
	}
	// Preserve string properties that are matching between the two allocations
	a.Properties = a.Properties.Intersection(that.Properties)

	// Expand the window to encompass both Allocations
	a.Window = a.Window.Expand(that.Window)

	// Sum non-cumulative fields by turning them into cumulative, adding them,
	// and then converting them back into averages after minutes have been
	// combined (just below).
	cpuReqCoreMins := a.CPUCoreRequestAverage * a.Minutes()
	cpuReqCoreMins += that.CPUCoreRequestAverage * that.Minutes()

	cpuUseCoreMins := a.CPUCoreUsageAverage * a.Minutes()
	cpuUseCoreMins += that.CPUCoreUsageAverage * that.Minutes()

	ramReqByteMins := a.RAMBytesRequestAverage * a.Minutes()
	ramReqByteMins += that.RAMBytesRequestAverage * that.Minutes()

	ramUseByteMins := a.RAMBytesUsageAverage * a.Minutes()
	ramUseByteMins += that.RAMBytesUsageAverage * that.Minutes()

	// Expand Start and End to be the "max" of among the given Allocations
	if that.Start.Before(a.Start) {
		a.Start = that.Start
	}
	if that.End.After(a.End) {
		a.End = that.End
	}

	// Convert cumulative request and usage back into rates
	// TODO:TEST write a unit test that fails if this is done incorrectly
	if a.Minutes() > 0 {
		a.CPUCoreRequestAverage = cpuReqCoreMins / a.Minutes()
		a.CPUCoreUsageAverage = cpuUseCoreMins / a.Minutes()
		a.RAMBytesRequestAverage = ramReqByteMins / a.Minutes()
		a.RAMBytesUsageAverage = ramUseByteMins / a.Minutes()
	} else {
		a.CPUCoreRequestAverage = 0.0
		a.CPUCoreUsageAverage = 0.0
		a.RAMBytesRequestAverage = 0.0
		a.RAMBytesUsageAverage = 0.0
	}

	// Sum all cumulative resource fields
	a.CPUCoreHours += that.CPUCoreHours
	a.GPUHours += that.GPUHours
	a.RAMByteHours += that.RAMByteHours

	// Sum all cumulative cost fields
	a.CPUCost += that.CPUCost
	a.GPUCost += that.GPUCost
	a.RAMCost += that.RAMCost
	a.NetworkCost += that.NetworkCost
	a.LoadBalancerCost += that.LoadBalancerCost
	a.SharedCost += that.SharedCost
	a.ExternalCost += that.ExternalCost

	// Sum PVAllocations
	a.PVs = a.PVs.Add(that.PVs)

	// Sum all cumulative adjustment fields
	a.CPUCostAdjustment += that.CPUCostAdjustment
	a.RAMCostAdjustment += that.RAMCostAdjustment
	a.GPUCostAdjustment += that.GPUCostAdjustment
	a.PVCostAdjustment += that.PVCostAdjustment

	// Any data that is in a "raw allocation only" is not valid in any
	// sort of cumulative Allocation (like one that is added).
	a.RawAllocationOnly = nil
}

// AllocationSet stores a set of Allocations, each with a unique name, that share
// a window. An AllocationSet is mutable, so treat it like a threadsafe map.
type AllocationSet struct {
	sync.RWMutex
	allocations  map[string]*Allocation
	externalKeys map[string]bool
	idleKeys     map[string]bool
	Window       Window
	Warnings     []string
	Errors       []string
}

// NewAllocationSet instantiates a new AllocationSet and, optionally, inserts
// the given list of Allocations
func NewAllocationSet(start, end time.Time, allocs ...*Allocation) *AllocationSet {
	as := &AllocationSet{
		allocations:  map[string]*Allocation{},
		externalKeys: map[string]bool{},
		idleKeys:     map[string]bool{},
		Window:       NewWindow(&start, &end),
	}

	for _, a := range allocs {
		as.Insert(a)
	}

	return as
}

// AllocationAggregationOptions provide advanced functionality to AggregateBy, including
// filtering results and sharing allocations. FilterFuncs are a list of match
// functions such that, if any function fails, the allocation is ignored.
// ShareFuncs are a list of match functions such that, if any function
// succeeds, the allocation is marked as a shared resource. ShareIdle is a
// simple flag for sharing idle resources.
type AllocationAggregationOptions struct {
	FilterFuncs       []AllocationMatchFunc
	SplitIdle         bool
	MergeUnallocated  bool
	ShareFuncs        []AllocationMatchFunc
	ShareIdle         string
	ShareSplit        string
	SharedHourlyCosts map[string]float64
}

// AggregateBy aggregates the Allocations in the given AllocationSet by the given
// AllocationProperty. This will only be legal if the AllocationSet is divisible by the
// given AllocationProperty; e.g. Containers can be divided by Namespace, but not vice-a-versa.
func (as *AllocationSet) AggregateBy(aggregateBy []string, options *AllocationAggregationOptions) error {
	// The order of operations for aggregating allocations is as follows:
	//  1. Partition external, idle, and shared allocations into separate sets.
	//     Also, create the aggSet into which the results will be aggregated.
	//  2. Compute sharing coefficients for idle and shared resources
	//     a) if idle allocation is to be shared, compute idle coefficients
	//     b) if idle allocation is NOT shared, but filters are present, compute
	//        idle filtration coefficients for the purpose of only returning the
	//        portion of idle allocation that would have been shared with the
	//        unfiltered results. (See unit tests 5.a,b,c)
	//     c) generate shared allocation for then given shared overhead, which
	//        must happen after (2a) and (2b)
	//     d) if there are shared resources, compute share coefficients
	//  3. Drop any allocation that fails any of the filters
	//  4. Distribute idle allocations according to the idle coefficients
	//  5. Generate aggregation key and insert allocation into the output set
	//  6. If idle is shared and resources are shared, some idle might be shared
	//     with a shared resource. Distribute that to the shared resources
	//     prior to sharing them with the aggregated results.
	//  7. Apply idle filtration coefficients from step (2b)
	//  8. Distribute shared allocations according to the share coefficients.
	//  9. If there are external allocations that can be aggregated into
	//     the output (i.e. they can be used to generate a valid key for
	//     the given properties) then aggregate; otherwise... ignore them?
	// 10. If the merge idle option is enabled, merge any remaining idle
	//     allocations into a single idle allocation

	if options == nil {
		options = &AllocationAggregationOptions{}
	}

	if as.IsEmpty() {
		return nil
	}

	// aggSet will collect the aggregated allocations
	aggSet := &AllocationSet{
		Window: as.Window.Clone(),
	}

	// externalSet will collect external allocations
	externalSet := &AllocationSet{
		Window: as.Window.Clone(),
	}

	// idleSet will be shared among aggSet after initial aggregation
	// is complete
	idleSet := &AllocationSet{
		Window: as.Window.Clone(),
	}

	// shareSet will be shared among aggSet after initial aggregation
	// is complete
	shareSet := &AllocationSet{
		Window: as.Window.Clone(),
	}

	as.Lock()
	defer as.Unlock()

	// (1) Loop and find all of the external, idle, and shared allocations. Add
	// them to their respective sets, removing them from the set of allocations
	// to aggregate.
	for _, alloc := range as.allocations {
		// External allocations get aggregated post-hoc (see step 6) and do
		// not necessarily contain complete sets of properties, so they are
		// moved to a separate AllocationSet.
		if alloc.IsExternal() {
			delete(as.externalKeys, alloc.Name)
			delete(as.allocations, alloc.Name)
			externalSet.Insert(alloc)
			continue
		}

		// Idle allocations should be separated into idleSet if they are to be
		// shared later on. If they are not to be shared, then add them to the
		// aggSet like any other allocation.
		if alloc.IsIdle() {
			delete(as.idleKeys, alloc.Name)
			delete(as.allocations, alloc.Name)

			if options.ShareIdle == ShareEven || options.ShareIdle == ShareWeighted {
				idleSet.Insert(alloc)
			} else {
				aggSet.Insert(alloc)
			}

			continue
		}

		// Shared allocations must be identified and separated prior to
		// aggregation and filtering. That is, if any of the ShareFuncs return
		// true for the allocation, then move it to shareSet.
		for _, sf := range options.ShareFuncs {
			if sf(alloc) {
				delete(as.idleKeys, alloc.Name)
				delete(as.allocations, alloc.Name)
				shareSet.Insert(alloc)
				break
			}
		}
	}

	// It's possible that no more un-shared, non-idle, non-external allocations
	// remain at this point. This always results in an emptySet, so return early.
	if len(as.allocations) == 0 {
		emptySet := &AllocationSet{
			Window: as.Window.Clone(),
		}
		as.allocations = emptySet.allocations
		return nil
	}

	// (2) In order to correctly share idle and shared costs, we first compute
	// sharing coefficients, which represent the proportion of each cost to
	// share with each allocation. Idle allocations are shared per-cluster,
	// per-allocation, and per-resource, while shared resources are shared per-
	// allocation only.
	//
	// For an idleCoefficient example, the entries:
	//   [cluster1][cluster1/namespace1/pod1/container1][cpu] = 0.166667
	//   [cluster1][cluster1/namespace1/pod1/container1][gpu] = 0.166667
	//   [cluster1][cluster1/namespace1/pod1/container1][ram] = 0.687500
	// mean that the allocation "cluster1/namespace1/pod1/container1" will
	// receive 16.67% of cluster1's idle CPU and GPU costs and 68.75% of its
	// RAM costs.
	//
	// For a shareCoefficient example, the entries:
	//   [namespace2] = 0.666667
	//   [__filtered__] = 0.333333
	// mean that the post-aggregation allocation "namespace2" will receive
	// 66.67% of the shared resource costs, while the remaining 33.33% will
	// be filtered out, as they were shared with allocations that did not pass
	// one of the given filters.
	//
	// In order to maintain stable results when multiple operations are being
	// carried out (e.g. sharing idle, sharing resources, and filtering) these
	// coefficients are computed for the full set of allocations prior to
	// adding shared overhead and prior to applying filters.

	var err error

	// (2a) If there are idle costs to be shared, compute the coefficients for
	// sharing them among the non-idle, non-aggregated allocations (including
	// the shared allocations).
	var idleCoefficients map[string]map[string]map[string]float64
	if idleSet.Length() > 0 && options.ShareIdle != ShareNone {
		idleCoefficients, err = computeIdleCoeffs(options, as, shareSet)
		if err != nil {
			log.Warningf("AllocationSet.AggregateBy: compute idle coeff: %s", err)
			return fmt.Errorf("error computing idle coefficients: %s", err)
		}
	}

	// (2b) If idle costs are not to be shared, but there are filters, then we
	// need to track the amount of each idle allocation to "filter" in order to
	// maintain parity with the results when idle is shared. That is, we want
	// to return only the idle costs that would have been shared with the given
	// results, even if the filter had not been applied.
	//
	// For example, consider these results from aggregating by namespace with
	// two clusters:
	//
	//  namespace1: 25.00
	//  namespace2: 30.00
	//  namespace3: 15.00
	//  idle:       30.00
	//
	// When we then filter by cluster==cluster1, namespaces 2 and 3 are
	// reduced by the amount that existed on cluster2. Then, idle must also be
	// reduced by the relevant amount:
	//
	//  namespace1: 25.00
	//  namespace2: 15.00
	//  idle:       20.00
	//
	// Note that this can happen for any field, not just cluster, so we again
	// need to track this on a per-cluster, per-allocation, per-resource basis.
	var idleFiltrationCoefficients map[string]map[string]map[string]float64
	if len(options.FilterFuncs) > 0 && options.ShareIdle == ShareNone {
		idleFiltrationCoefficients, err = computeIdleCoeffs(options, as, shareSet)
		if err != nil {
			return fmt.Errorf("error computing idle filtration coefficients: %s", err)
		}
	}

	// (2c) Convert SharedHourlyCosts to Allocations in the shareSet. This must
	// come after idle coefficients are computes so that allocations generated
	// by shared overhead do not skew the idle coefficient computation.
	for name, cost := range options.SharedHourlyCosts {
		if cost > 0.0 {
			hours := as.Resolution().Hours()

			// If set ends in the future, adjust hours accordingly
			diff := time.Now().Sub(as.End())
			if diff < 0.0 {
				hours += diff.Hours()
			}

			totalSharedCost := cost * hours

			shareSet.Insert(&Allocation{
				Name:       fmt.Sprintf("%s/%s", name, SharedSuffix),
				Start:      as.Start(),
				End:        as.End(),
				SharedCost: totalSharedCost,
				Properties: &AllocationProperties{Cluster: SharedSuffix}, // The allocation needs to belong to a cluster,but it really doesn't matter which one, so just make it clear.
			})
		}
	}

	// (2d) Compute share coefficients for shared resources. These are computed
	// after idle coefficients, and are computed for the aggregated allocations
	// of the main allocation set. See above for details and an example.
	var shareCoefficients map[string]float64
	if shareSet.Length() > 0 {
		shareCoefficients, err = computeShareCoeffs(aggregateBy, options, as)
		if err != nil {
			return fmt.Errorf("error computing share coefficients: %s", err)
		}
	}

	// (3-5) Filter, distribute idle cost, and aggregate (in that order)
	for _, alloc := range as.allocations {
		cluster := alloc.Properties.Cluster
		if cluster == "" {
			log.Warningf("AllocationSet.AggregateBy: missing cluster for allocation: %s", alloc.Name)
			return fmt.Errorf("ClusterProp is not set")
		}

		skip := false

		// (3) If any of the filter funcs fail, immediately skip the allocation.
		for _, ff := range options.FilterFuncs {
			if !ff(alloc) {
				skip = true
				break
			}
		}
		if skip {
			// If we are tracking idle filtration coefficients, delete the
			// entry corresponding to the filtered allocation. (Deleting the
			// entry will result in that proportional amount being removed
			// from the idle allocation at the end of the process.)
			if idleFiltrationCoefficients != nil {
				if ifcc, ok := idleFiltrationCoefficients[cluster]; ok {
					delete(ifcc, alloc.Name)
				}
			}

			continue
		}

		// (4) Distribute idle allocations according to the idle coefficients
		// NOTE: if idle allocation is off (i.e. ShareIdle == ShareNone) then
		// all idle allocations will be in the aggSet at this point, so idleSet
		// will be empty and we won't enter this block.
		if idleSet.Length() > 0 {
			// Distribute idle allocations by coefficient per-cluster, per-allocation
			for _, idleAlloc := range idleSet.allocations {
				// Only share idle if the cluster matches; i.e. the allocation
				// is from the same cluster as the idle costs
				idleCluster := idleAlloc.Properties.Cluster
				if idleCluster == "" {
					return fmt.Errorf("ClusterProp is not set")
				}
				if idleCluster != cluster {
					continue
				}

				// Make sure idle coefficients exist
				if _, ok := idleCoefficients[cluster]; !ok {
					log.Warningf("AllocationSet.AggregateBy: error getting idle coefficient: no cluster '%s' for '%s'", cluster, alloc.Name)
					continue
				}
				if _, ok := idleCoefficients[cluster][alloc.Name]; !ok {
					log.Warningf("AllocationSet.AggregateBy: error getting idle coefficient for '%s'", alloc.Name)
					continue
				}

				alloc.CPUCoreHours += idleAlloc.CPUCoreHours * idleCoefficients[cluster][alloc.Name]["cpu"]
				alloc.GPUHours += idleAlloc.GPUHours * idleCoefficients[cluster][alloc.Name]["gpu"]
				alloc.RAMByteHours += idleAlloc.RAMByteHours * idleCoefficients[cluster][alloc.Name]["ram"]

				idleCPUCost := idleAlloc.CPUCost * idleCoefficients[cluster][alloc.Name]["cpu"]
				idleGPUCost := idleAlloc.GPUCost * idleCoefficients[cluster][alloc.Name]["gpu"]
				idleRAMCost := idleAlloc.RAMCost * idleCoefficients[cluster][alloc.Name]["ram"]
				alloc.CPUCost += idleCPUCost
				alloc.GPUCost += idleGPUCost
				alloc.RAMCost += idleRAMCost
			}
		}

		// (5) generate key to use for aggregation-by-key and allocation name
		key := alloc.generateKey(aggregateBy)

		alloc.Name = key
		if options.MergeUnallocated && alloc.IsUnallocated() {
			alloc.Name = UnallocatedSuffix
		}

		// Inserting the allocation with the generated key for a name will
		// perform the actual basic aggregation step.
		aggSet.Insert(alloc)
	}

	// (6) If idle is shared and resources are shared, it's possible that some
	// amount of idle cost will be shared with a shared resource. Distribute
	// that idle allocation, if it exists, to the respective shared allocations
	// before sharing with the aggregated allocations.
	if idleSet.Length() > 0 && shareSet.Length() > 0 {
		for _, alloc := range shareSet.allocations {
			cluster := alloc.Properties.Cluster
			if cluster == "" {
				log.Warningf("AllocationSet.AggregateBy: missing cluster for allocation: %s", alloc.Name)
				return err
			}

			// Distribute idle allocations by coefficient per-cluster, per-allocation
			for _, idleAlloc := range idleSet.allocations {
				// Only share idle if the cluster matches; i.e. the allocation
				// is from the same cluster as the idle costs
				idleCluster := idleAlloc.Properties.Cluster
				if idleCluster == "" {
					return fmt.Errorf("ClusterProp is not set")
				}
				if idleCluster != cluster {
					continue
				}

				// Make sure idle coefficients exist
				if _, ok := idleCoefficients[cluster]; !ok {
					log.Warningf("AllocationSet.AggregateBy: error getting idle coefficient: no cluster '%s' for '%s'", cluster, alloc.Name)
					continue
				}
				if _, ok := idleCoefficients[cluster][alloc.Name]; !ok {
					log.Warningf("AllocationSet.AggregateBy: error getting idle coefficient for '%s'", alloc.Name)
					continue
				}

				alloc.CPUCoreHours += idleAlloc.CPUCoreHours * idleCoefficients[cluster][alloc.Name]["cpu"]
				alloc.GPUHours += idleAlloc.GPUHours * idleCoefficients[cluster][alloc.Name]["gpu"]
				alloc.RAMByteHours += idleAlloc.RAMByteHours * idleCoefficients[cluster][alloc.Name]["ram"]

				idleCPUCost := idleAlloc.CPUCost * idleCoefficients[cluster][alloc.Name]["cpu"]
				idleGPUCost := idleAlloc.GPUCost * idleCoefficients[cluster][alloc.Name]["gpu"]
				idleRAMCost := idleAlloc.RAMCost * idleCoefficients[cluster][alloc.Name]["ram"]
				alloc.CPUCost += idleCPUCost
				alloc.GPUCost += idleGPUCost
				alloc.RAMCost += idleRAMCost
			}
		}
	}

	// clusterIdleFiltrationCoeffs is used to track per-resource idle
	// coefficients on a cluster-by-cluster basis. It is, essentailly, an
	// aggregation of idleFiltrationCoefficients after they have been
	// filtered above (in step 3)
	var clusterIdleFiltrationCoeffs map[string]map[string]float64
	if idleFiltrationCoefficients != nil {
		clusterIdleFiltrationCoeffs = map[string]map[string]float64{}

		for cluster, m := range idleFiltrationCoefficients {
			if _, ok := clusterIdleFiltrationCoeffs[cluster]; !ok {
				clusterIdleFiltrationCoeffs[cluster] = map[string]float64{
					"cpu": 0.0,
					"gpu": 0.0,
					"ram": 0.0,
				}
			}

			for _, n := range m {
				for resource, val := range n {
					clusterIdleFiltrationCoeffs[cluster][resource] += val
				}
			}
		}
	}

	// (7) If we have both un-shared idle allocations and idle filtration
	// coefficients then apply those. See step (2b) for an example.
	if len(aggSet.idleKeys) > 0 && clusterIdleFiltrationCoeffs != nil {
		for idleKey := range aggSet.idleKeys {
			idleAlloc := aggSet.Get(idleKey)

			cluster := idleAlloc.Properties.Cluster
			if cluster == "" {
				log.Warningf("AllocationSet.AggregateBy: idle allocation without cluster: %s", idleAlloc)
				continue
			}

			if resourceCoeffs, ok := clusterIdleFiltrationCoeffs[cluster]; ok {
				idleAlloc.CPUCost *= resourceCoeffs["cpu"]
				idleAlloc.CPUCoreHours *= resourceCoeffs["cpu"]
				idleAlloc.RAMCost *= resourceCoeffs["ram"]
				idleAlloc.RAMByteHours *= resourceCoeffs["ram"]
			}
		}
	}

	// (8) Distribute shared allocations according to the share coefficients.
	if shareSet.Length() > 0 {
		for _, alloc := range aggSet.allocations {
			for _, sharedAlloc := range shareSet.allocations {
				if _, ok := shareCoefficients[alloc.Name]; !ok {
					log.Warningf("AllocationSet.AggregateBy: error getting share coefficienct for '%s'", alloc.Name)
					continue
				}

				alloc.SharedCost += sharedAlloc.TotalCost() * shareCoefficients[alloc.Name]
			}
		}
	}

	// (9) Aggregate external allocations into aggregated allocations. This may
	// not be possible for every external allocation, but attempt to find an
	// exact key match, given each external allocation's proerties, and
	// aggregate if an exact match is found.
	for _, alloc := range externalSet.allocations {
		skip := false
		for _, ff := range options.FilterFuncs {
			if !ff(alloc) {
				skip = true
				break
			}
		}
		if !skip {
			key := alloc.generateKey(aggregateBy)

			alloc.Name = key
			aggSet.Insert(alloc)
		}
	}

	// (10) Combine all idle allocations into a single "__idle__" allocation
	if !options.SplitIdle {
		for _, idleAlloc := range aggSet.IdleAllocations() {
			aggSet.Delete(idleAlloc.Name)
			idleAlloc.Name = IdleSuffix
			aggSet.Insert(idleAlloc)
		}
	}

	as.allocations = aggSet.allocations

	return nil
}

func computeShareCoeffs(aggregateBy []string, options *AllocationAggregationOptions, as *AllocationSet) (map[string]float64, error) {
	// Compute coeffs by totalling per-allocation, then dividing by the total.
	coeffs := map[string]float64{}

	// Compute totals for all allocations
	total := 0.0

	// ShareEven counts each aggregation with even weight, whereas ShareWeighted
	// counts each aggregation proportionally to its respective costs
	shareType := options.ShareSplit

	// Record allocation values first, then normalize by totals to get percentages
	for _, alloc := range as.allocations {
		if alloc.IsIdle() {
			// Skip idle allocations in coefficient calculation
			continue
		}

		// Determine the post-aggregation key under which the allocation will
		// be shared.
		name := alloc.generateKey(aggregateBy)

		// If the current allocation will be filtered out in step 3, contribute
		// its share of the shared coefficient to a "__filtered__" bin, which
		// will ultimately be dropped. This step ensures that the shared cost
		// of a non-filtered allocation will be conserved even when the filter
		// is removed. (Otherwise, all the shared cost will get redistributed
		// over the unfiltered results, inflating their shared costs.)
		filtered := false
		for _, ff := range options.FilterFuncs {
			if !ff(alloc) {
				filtered = true
				break
			}
		}
		if filtered {
			name = "__filtered__"
		}

		if shareType == ShareEven {
			// Even distribution is not additive - set to 1.0 for everything
			coeffs[name] = 1.0
			// Total for even distribution is always the number of coefficients
			total = float64(len(coeffs))
		} else {
			// Both are additive for weighted distribution, where each
			// cumulative coefficient will be divided by the total.
			coeffs[name] += alloc.TotalCost()
			total += alloc.TotalCost()
		}
	}

	// Normalize coefficients by totals
	for a := range coeffs {
		if coeffs[a] > 0 && total > 0 {
			coeffs[a] /= total
		} else {
			log.Warningf("ETL: invalid values for shared coefficients: %d, %d", coeffs[a], total)
			coeffs[a] = 0.0
		}
	}

	return coeffs, nil
}

func computeIdleCoeffs(options *AllocationAggregationOptions, as *AllocationSet, shareSet *AllocationSet) (map[string]map[string]map[string]float64, error) {
	types := []string{"cpu", "gpu", "ram"}

	// Compute idle coefficients, then save them in AllocationAggregationOptions
	coeffs := map[string]map[string]map[string]float64{}

	// Compute totals per resource for CPU, GPU, RAM, and PV
	totals := map[string]map[string]float64{}

	// ShareEven counts each allocation with even weight, whereas ShareWeighted
	// counts each allocation proportionally to its respective costs
	shareType := options.ShareIdle

	// Record allocation values first, then normalize by totals to get percentages
	for _, alloc := range as.allocations {
		if alloc.IsIdle() {
			// Skip idle allocations in coefficient calculation
			continue
		}

		// We need to key the allocations by cluster id
		clusterID := alloc.Properties.Cluster
		if clusterID == "" {
			return nil, fmt.Errorf("ClusterProp is not set")
		}

		// get the name key for the allocation
		name := alloc.Name

		// Create cluster based tables if they don't exist
		if _, ok := coeffs[clusterID]; !ok {
			coeffs[clusterID] = map[string]map[string]float64{}
		}
		if _, ok := totals[clusterID]; !ok {
			totals[clusterID] = map[string]float64{}
		}

		if _, ok := coeffs[clusterID][name]; !ok {
			coeffs[clusterID][name] = map[string]float64{}
		}

		if shareType == ShareEven {
			for _, r := range types {
				// Not additive - hard set to 1.0
				coeffs[clusterID][name][r] = 1.0

				// totals are additive
				totals[clusterID][r] += 1.0
			}
		} else {
			coeffs[clusterID][name]["cpu"] += alloc.CPUTotalCost()
			coeffs[clusterID][name]["gpu"] += alloc.GPUTotalCost()
			coeffs[clusterID][name]["ram"] += alloc.RAMTotalCost()

			totals[clusterID]["cpu"] += alloc.CPUTotalCost()
			totals[clusterID]["gpu"] += alloc.GPUTotalCost()
			totals[clusterID]["ram"] += alloc.RAMTotalCost()
		}
	}

	// Do the same for shared allocations
	for _, alloc := range shareSet.allocations {
		if alloc.IsIdle() {
			// Skip idle allocations in coefficient calculation
			continue
		}

		// We need to key the allocations by cluster id
		clusterID := alloc.Properties.Cluster
		if clusterID == "" {
			return nil, fmt.Errorf("ClusterProp is not set")
		}

		// get the name key for the allocation
		name := alloc.Name

		// Create cluster based tables if they don't exist
		if _, ok := coeffs[clusterID]; !ok {
			coeffs[clusterID] = map[string]map[string]float64{}
		}
		if _, ok := totals[clusterID]; !ok {
			totals[clusterID] = map[string]float64{}
		}

		if _, ok := coeffs[clusterID][name]; !ok {
			coeffs[clusterID][name] = map[string]float64{}
		}

		if shareType == ShareEven {
			for _, r := range types {
				// Not additive - hard set to 1.0
				coeffs[clusterID][name][r] = 1.0

				// totals are additive
				totals[clusterID][r] += 1.0
			}
		} else {
			coeffs[clusterID][name]["cpu"] += alloc.CPUTotalCost()
			coeffs[clusterID][name]["gpu"] += alloc.GPUTotalCost()
			coeffs[clusterID][name]["ram"] += alloc.RAMTotalCost()

			totals[clusterID]["cpu"] += alloc.CPUTotalCost()
			totals[clusterID]["gpu"] += alloc.GPUTotalCost()
			totals[clusterID]["ram"] += alloc.RAMTotalCost()
		}
	}

	// Normalize coefficients by totals
	for c := range coeffs {
		for a := range coeffs[c] {
			for _, r := range types {
				if coeffs[c][a][r] > 0 && totals[c][r] > 0 {
					coeffs[c][a][r] /= totals[c][r]
				}
			}
		}
	}

	return coeffs, nil
}

func (a *Allocation) generateKey(aggregateBy []string) string {
	if a == nil {
		return ""
	}

	// Names will ultimately be joined into a single name, which uniquely
	// identifies allocations.
	names := []string{}

	for _, agg := range aggregateBy {
		switch true {
		case agg == AllocationClusterProp:
			names = append(names, a.Properties.Cluster)
		case agg == AllocationNodeProp:
			names = append(names, a.Properties.Node)
		case agg == AllocationNamespaceProp:
			names = append(names, a.Properties.Namespace)
		case agg == AllocationControllerKindProp:
			controllerKind := a.Properties.ControllerKind
			if controllerKind == "" {
				// Indicate that allocation has no controller
				controllerKind = UnallocatedSuffix
			}
			names = append(names, controllerKind)
		case agg == AllocationDaemonSetProp || agg == AllocationStatefulSetProp || agg == AllocationDeploymentProp || agg == AllocationJobProp:
			controller := a.Properties.Controller
			if agg != a.Properties.ControllerKind || controller == "" {
				// The allocation does not have the specified controller kind
				controller = UnallocatedSuffix
			}
			names = append(names, controller)
		case agg == AllocationControllerProp:
			controller := a.Properties.Controller
			if controller == "" {
				// Indicate that allocation has no controller
				controller = UnallocatedSuffix
			} else if a.Properties.ControllerKind != "" {
				controller = fmt.Sprintf("%s:%s", a.Properties.ControllerKind, controller)
			}
			names = append(names, controller)
		case agg == AllocationPodProp:
			names = append(names, a.Properties.Pod)
		case agg == AllocationContainerProp:
			names = append(names, a.Properties.Container)
		case agg == AllocationServiceProp:
			services := a.Properties.Services
			if services == nil || len(services) == 0 {
				// Indicate that allocation has no services
				names = append(names, UnallocatedSuffix)
			} else {
				// This just uses the first service
				for _, service := range services {
					names = append(names, service)
					break
				}
			}
		case strings.HasPrefix(agg, "label:"):
			labels := a.Properties.Labels
			if labels == nil {
				// Indicate that allocation has no labels
				names = append(names, UnallocatedSuffix)
			} else {
				labelNames := []string{}
				aggLabels := strings.Split(strings.TrimPrefix(agg, "label:"), ";")
				for _, labelName := range aggLabels {
					if val, ok := labels[labelName]; ok {
						labelNames = append(labelNames, fmt.Sprintf("%s=%s", labelName, val))
					} else if indexOf(UnallocatedSuffix, labelNames) == -1 { // if UnallocatedSuffix not already in names
						labelNames = append(labelNames, UnallocatedSuffix)
					}
				}
				// resolve arbitrary ordering. e.g., app=app0/env=env0 is the same agg as env=env0/app=app0
				if len(labelNames) > 1 {
					sort.Strings(labelNames)
				}
				unallocatedSuffixIndex := indexOf(UnallocatedSuffix, labelNames)
				// suffix should be at index 0 if it exists b/c of underscores
				if unallocatedSuffixIndex != -1 {
					labelNames = append(labelNames[:unallocatedSuffixIndex], labelNames[unallocatedSuffixIndex+1:]...)
					labelNames = append(labelNames, UnallocatedSuffix) // append to end
				}

				names = append(names, labelNames...)
			}
		case strings.HasPrefix(agg, "annotation:"):
			annotations := a.Properties.Annotations
			if annotations == nil {
				// Indicate that allocation has no annotations
				names = append(names, UnallocatedSuffix)
			} else {
				annotationNames := []string{}
				aggAnnotations := strings.Split(strings.TrimPrefix(agg, "annotation:"), ";")
				for _, annotationName := range aggAnnotations {
					if val, ok := annotations[annotationName]; ok {
						annotationNames = append(annotationNames, fmt.Sprintf("%s=%s", annotationName, val))
					} else if indexOf(UnallocatedSuffix, annotationNames) == -1 { // if UnallocatedSuffix not already in names
						annotationNames = append(annotationNames, UnallocatedSuffix)
					}
				}
				// resolve arbitrary ordering. e.g., app=app0/env=env0 is the same agg as env=env0/app=app0
				if len(annotationNames) > 1 {
					sort.Strings(annotationNames)
				}
				unallocatedSuffixIndex := indexOf(UnallocatedSuffix, annotationNames)
				// suffix should be at index 0 if it exists b/c of underscores
				if unallocatedSuffixIndex != -1 {
					annotationNames = append(annotationNames[:unallocatedSuffixIndex], annotationNames[unallocatedSuffixIndex+1:]...)
					annotationNames = append(annotationNames, UnallocatedSuffix) // append to end
				}

				names = append(names, annotationNames...)
			}
		}

	}

	return strings.Join(names, "/")
}

// TODO:CLEANUP get rid of this
// Helper function to check for slice membership. Not sure if repeated elsewhere in our codebase.
func indexOf(v string, arr []string) int {
	for i, s := range arr {
		// This is caseless equivalence
		if strings.EqualFold(v, s) {
			return i
		}
	}
	return -1
}

// Clone returns a new AllocationSet with a deep copy of the given
// AllocationSet's allocations.
func (as *AllocationSet) Clone() *AllocationSet {
	if as == nil {
		return nil
	}

	as.RLock()
	defer as.RUnlock()

	allocs := map[string]*Allocation{}
	for k, v := range as.allocations {
		allocs[k] = v.Clone()
	}

	externalKeys := map[string]bool{}
	for k, v := range as.externalKeys {
		externalKeys[k] = v
	}

	idleKeys := map[string]bool{}
	for k, v := range as.idleKeys {
		idleKeys[k] = v
	}

	return &AllocationSet{
		allocations:  allocs,
		externalKeys: externalKeys,
		idleKeys:     idleKeys,
		Window:       as.Window.Clone(),
	}
}

// ComputeIdleAllocations computes the idle allocations for the AllocationSet,
// given a set of Assets. Ideally, assetSet should contain only Nodes, but if
// it contains other Assets, they will be ignored; only CPU, GPU and RAM are
// considered for idle allocation. If the Nodes have adjustments, then apply
// the adjustments proportionally to each of the resources so that total
// allocation with idle reflects the adjusted node costs. One idle allocation
// per-cluster will be computed and returned, keyed by cluster_id.
func (as *AllocationSet) ComputeIdleAllocations(assetSet *AssetSet) (map[string]*Allocation, error) {
	if as == nil {
		return nil, fmt.Errorf("cannot compute idle allocation for nil AllocationSet")
	}

	if assetSet == nil {
		return nil, fmt.Errorf("cannot compute idle allocation with nil AssetSet")
	}

	if !as.Window.Equal(assetSet.Window) {
		return nil, fmt.Errorf("cannot compute idle allocation for sets with mismatched windows: %s != %s", as.Window, assetSet.Window)
	}

	window := as.Window

	// Build a map of cumulative cluster asset costs, per resource; i.e.
	// cluster-to-{cpu|gpu|ram}-to-cost.
	assetClusterResourceCosts := map[string]map[string]float64{}
	assetSet.Each(func(key string, a Asset) {
		if node, ok := a.(*Node); ok {
			if _, ok := assetClusterResourceCosts[node.Properties().Cluster]; !ok {
				assetClusterResourceCosts[node.Properties().Cluster] = map[string]float64{}
			}

			// adjustmentRate is used to scale resource costs proportionally
			// by the adjustment. This is necessary because we only get one
			// adjustment per Node, not one per-resource-per-Node.
			//
			// e.g. total cost = $90, adjustment = -$10 => 0.9
			// e.g. total cost = $150, adjustment = -$300 => 0.3333
			// e.g. total cost = $150, adjustment = $50 => 1.5
			adjustmentRate := 1.0
			if node.TotalCost()-node.Adjustment() == 0 {
				// If (totalCost - adjustment) is 0.0 then adjustment cancels
				// the entire node cost and we should make everything 0
				// without dividing by 0.
				adjustmentRate = 0.0
			} else if node.Adjustment() != 0.0 {
				// adjustmentRate is the ratio of cost-with-adjustment (i.e. TotalCost)
				// to cost-without-adjustment (i.e. TotalCost - Adjustment).
				adjustmentRate = node.TotalCost() / (node.TotalCost() - node.Adjustment())
			}

			cpuCost := node.CPUCost * (1.0 - node.Discount) * adjustmentRate
			gpuCost := node.GPUCost * (1.0 - node.Discount) * adjustmentRate
			ramCost := node.RAMCost * (1.0 - node.Discount) * adjustmentRate

			assetClusterResourceCosts[node.Properties().Cluster]["cpu"] += cpuCost
			assetClusterResourceCosts[node.Properties().Cluster]["gpu"] += gpuCost
			assetClusterResourceCosts[node.Properties().Cluster]["ram"] += ramCost
		}
	})

	// Determine start, end on a per-cluster basis
	clusterStarts := map[string]time.Time{}
	clusterEnds := map[string]time.Time{}

	// Subtract allocated costs from asset costs, leaving only the remaining
	// idle costs.
	as.Each(func(name string, a *Allocation) {
		cluster := a.Properties.Cluster
		if cluster == "" {
			// Failed to find allocation's cluster
			return
		}

		if _, ok := assetClusterResourceCosts[cluster]; !ok {
			// Failed to find assets for allocation's cluster
			return
		}

		// Set cluster (start, end) if they are either not currently set,
		// or if the detected (start, end) of the current allocation falls
		// before or after, respectively, the current values.
		if s, ok := clusterStarts[cluster]; !ok || a.Start.Before(s) {
			clusterStarts[cluster] = a.Start
		}
		if e, ok := clusterEnds[cluster]; !ok || a.End.After(e) {
			clusterEnds[cluster] = a.End
		}

		assetClusterResourceCosts[cluster]["cpu"] -= a.CPUTotalCost()
		assetClusterResourceCosts[cluster]["gpu"] -= a.GPUTotalCost()
		assetClusterResourceCosts[cluster]["ram"] -= a.RAMTotalCost()
	})

	// Turn remaining un-allocated asset costs into idle allocations
	idleAllocs := map[string]*Allocation{}
	for cluster, resources := range assetClusterResourceCosts {
		// Default start and end to the (start, end) of the given window, but
		// use the actual, detected (start, end) pair if they are available.
		start := *window.Start()
		if s, ok := clusterStarts[cluster]; ok && window.Contains(s) {
			start = s
		}
		end := *window.End()
		if e, ok := clusterEnds[cluster]; ok && window.Contains(e) {
			end = e
		}

		idleAlloc := &Allocation{
			Name:       fmt.Sprintf("%s/%s", cluster, IdleSuffix),
			Window:     window.Clone(),
			Properties: &AllocationProperties{Cluster: cluster},
			Start:      start,
			End:        end,
			CPUCost:    resources["cpu"],
			GPUCost:    resources["gpu"],
			RAMCost:    resources["ram"],
		}

		// Do not continue if multiple idle allocations are computed for a
		// single cluster.
		if _, ok := idleAllocs[cluster]; ok {
			return nil, fmt.Errorf("duplicate idle allocations for cluster %s", cluster)
		}

		idleAllocs[cluster] = idleAlloc
	}

	return idleAllocs, nil
}

// Reconcile calculate the exact cost of Allocation by resource(cpu, ram, gpu etc) based on Asset(s) on which
// the Allocation depends.
func (as *AllocationSet) Reconcile(assetSet *AssetSet) error {
	if as == nil {
		return fmt.Errorf("cannot reconcile allocation for nil AllocationSet")
	}

	if assetSet == nil {
		return fmt.Errorf("cannot reconcile allocation with nil AssetSet")
	}

	if !as.Window.Equal(assetSet.Window) {
		return fmt.Errorf("cannot reconcile allocation for sets with mismatched windows: %s != %s", as.Window, assetSet.Window)
	}

	// Build map of Assets with type Node by their ProviderId so that they can be matched to Allocations to determine
	// proper CPU GPU and RAM prices
	nodeByProviderID := map[string]*Node{}
	diskByName := map[string]*Disk{}
	assetSet.Each(func(key string, a Asset) {
		if node, ok := a.(*Node); ok && node.properties.ProviderID != "" {
			nodeByProviderID[node.properties.ProviderID] = node
		}
		if disk, ok := a.(*Disk); ok {
			diskByName[disk.properties.Name] = disk
		}
	})

	// Match Assets against allocations and adjust allocation cost based on the proportion of the asset that they used
	as.Each(func(name string, a *Allocation) {
		a.reconcileNodes(nodeByProviderID)
		a.reconcileDisks(diskByName)
	})

	return nil
}

func (a *Allocation) reconcileNodes(nodeByProviderID map[string]*Node) {
	providerId := a.Properties.ProviderID

	// Reconcile with node Assets
	node, ok := nodeByProviderID[providerId]
	if !ok {
		// Failed to find node for allocation
		return
	}

	// adjustmentRate is used to scale resource costs proportionally
	// by the adjustment. This is necessary because we only get one
	// adjustment per Node, not one per-resource-per-Node.
	//
	// e.g. total cost = $90, adjustment = -$10 => 0.9
	// e.g. total cost = $150, adjustment = -$300 => 0.3333
	// e.g. total cost = $150, adjustment = $50 => 1.5
	adjustmentRate := 1.0
	if node.TotalCost()-node.Adjustment() == 0 {
		// If (totalCost - adjustment) is 0.0 then adjustment cancels
		// the entire node cost and we should make everything 0
		// without dividing by 0.
		adjustmentRate = 0.0
	} else if node.Adjustment() != 0.0 {
		// adjustmentRate is the ratio of cost-with-adjustment (i.e. TotalCost)
		// to cost-without-adjustment (i.e. TotalCost - Adjustment).
		adjustmentRate = node.TotalCost() / (node.TotalCost() - node.Adjustment())
	}

	// Find total cost of each node resource for the window
	cpuCost := node.CPUCost * (1.0 - node.Discount) * adjustmentRate
	ramCost := node.RAMCost * (1.0 - node.Discount) * adjustmentRate
	gpuCost := node.GPUCost * adjustmentRate

	// Find the proportion of resource hours used by the allocation, checking for 0 denominators
	cpuUsageProportion := 0.0
	if node.CPUCoreHours != 0 {
		cpuUsageProportion = a.CPUCoreHours / node.CPUCoreHours
	} else {
		log.Warningf("Missing CPU Hours for node Provider ID: %s", providerId)
	}
	ramUsageProportion := 0.0
	if node.RAMByteHours != 0 {
		ramUsageProportion = a.RAMByteHours / node.RAMByteHours
	} else {
		log.Warningf("Missing Ram Byte Hours for node Provider ID: %s", providerId)
	}
	gpuUsageProportion := 0.0
	if node.GPUHours != 0 {
		gpuUsageProportion = a.GPUHours / node.GPUHours
	}
	// No log for GPU because not all nodes have GPU

	// Calculate the allocation's resource costs by the proportion of resources used and total costs
	allocCPUCost := cpuUsageProportion * cpuCost
	allocRAMCost := ramUsageProportion * ramCost
	allocGPUCost := gpuUsageProportion * gpuCost

	a.CPUCostAdjustment = allocCPUCost - a.CPUCost
	a.RAMCostAdjustment = allocRAMCost - a.RAMCost
	a.GPUCostAdjustment = allocGPUCost - a.GPUCost
}

func (a *Allocation) reconcileDisks(diskByName map[string]*Disk) {
	pvs := a.PVs
	if pvs == nil {
		// No PV usage to reconcile
		return
	}
	// Set PV Adjustment for allocation to 0 for idempotency
	a.PVCostAdjustment = 0.0
	for pvKey, pvUsage := range pvs {
		disk, ok := diskByName[pvKey.Name]
		if !ok {
			// Failed to find disk in assets
			continue
		}
		// Check the proportion of disk that is being used by
		pvUsageProportion := 0.0
		if disk.ByteHours != 0 {
			pvUsageProportion = pvUsage.ByteHours / disk.ByteHours
		} else {
			log.Warningf("Missing Byte Hours for disk: %s", pvKey)
		}

		// take proportion of disk adjusted cost
		allocPVCost := pvUsageProportion * disk.TotalCost()

		// PVCostAdjustment is cumulative as there can be many PVs for each Allocation
		a.PVCostAdjustment += allocPVCost - pvUsage.Cost
	}

}

// Delete removes the allocation with the given name from the set
func (as *AllocationSet) Delete(name string) {
	if as == nil {
		return
	}

	as.Lock()
	defer as.Unlock()
	delete(as.externalKeys, name)
	delete(as.idleKeys, name)
	delete(as.allocations, name)
}

// Each invokes the given function for each Allocation in the set
func (as *AllocationSet) Each(f func(string, *Allocation)) {
	if as == nil {
		return
	}

	for k, a := range as.allocations {
		f(k, a)
	}
}

// End returns the End time of the AllocationSet window
func (as *AllocationSet) End() time.Time {
	if as == nil {
		log.Warningf("Allocation ETL: calling End on nil AllocationSet")
		return time.Unix(0, 0)
	}
	if as.Window.End() == nil {
		log.Warningf("Allocation ETL: AllocationSet with illegal window: End is nil; len(as.allocations)=%d", len(as.allocations))
		return time.Unix(0, 0)
	}
	return *as.Window.End()
}

// Get returns the Allocation at the given key in the AllocationSet
func (as *AllocationSet) Get(key string) *Allocation {
	as.RLock()
	defer as.RUnlock()

	if alloc, ok := as.allocations[key]; ok {
		return alloc
	}

	return nil
}

// ExternalAllocations returns a map of the external allocations in the set.
// Returns clones of the actual Allocations, so mutability is not a problem.
func (as *AllocationSet) ExternalAllocations() map[string]*Allocation {
	externals := map[string]*Allocation{}

	if as.IsEmpty() {
		return externals
	}

	as.RLock()
	defer as.RUnlock()

	for key := range as.externalKeys {
		if alloc, ok := as.allocations[key]; ok {
			externals[key] = alloc.Clone()
		}
	}

	return externals
}

// ExternalCost returns the total aggregated external costs of the set
func (as *AllocationSet) ExternalCost() float64 {
	if as.IsEmpty() {
		return 0.0
	}

	as.RLock()
	defer as.RUnlock()

	externalCost := 0.0
	for _, alloc := range as.allocations {
		externalCost += alloc.ExternalCost
	}

	return externalCost
}

// IdleAllocations returns a map of the idle allocations in the AllocationSet.
// Returns clones of the actual Allocations, so mutability is not a problem.
func (as *AllocationSet) IdleAllocations() map[string]*Allocation {
	idles := map[string]*Allocation{}

	if as.IsEmpty() {
		return idles
	}

	as.RLock()
	defer as.RUnlock()

	for key := range as.idleKeys {
		if alloc, ok := as.allocations[key]; ok {
			idles[key] = alloc.Clone()
		}
	}

	return idles
}

// Insert aggregates the current entry in the AllocationSet by the given Allocation,
// but only if the Allocation is valid, i.e. matches the AllocationSet's window. If
// there is no existing entry, one is created. Nil error response indicates success.
func (as *AllocationSet) Insert(that *Allocation) error {
	return as.insert(that)
}

func (as *AllocationSet) insert(that *Allocation) error {
	if as == nil {
		return fmt.Errorf("cannot insert into nil AllocationSet")
	}

	as.Lock()
	defer as.Unlock()

	if as.allocations == nil {
		as.allocations = map[string]*Allocation{}
	}

	if as.externalKeys == nil {
		as.externalKeys = map[string]bool{}
	}

	if as.idleKeys == nil {
		as.idleKeys = map[string]bool{}
	}

	// Add the given Allocation to the existing entry, if there is one;
	// otherwise just set directly into allocations
	if _, ok := as.allocations[that.Name]; !ok {
		as.allocations[that.Name] = that
	} else {
		as.allocations[that.Name].add(that)
	}

	// If the given Allocation is an external one, record that
	if that.IsExternal() {
		as.externalKeys[that.Name] = true
	}

	// If the given Allocation is an idle one, record that
	if that.IsIdle() {
		as.idleKeys[that.Name] = true
	}

	return nil
}

// IsEmpty returns true if the AllocationSet is nil, or if it contains
// zero allocations.
func (as *AllocationSet) IsEmpty() bool {
	if as == nil || len(as.allocations) == 0 {
		return true
	}

	as.RLock()
	defer as.RUnlock()
	return as.allocations == nil || len(as.allocations) == 0
}

// Length returns the number of Allocations in the set
func (as *AllocationSet) Length() int {
	if as == nil {
		return 0
	}

	as.RLock()
	defer as.RUnlock()
	return len(as.allocations)
}

// Map clones and returns a map of the AllocationSet's Allocations
func (as *AllocationSet) Map() map[string]*Allocation {
	if as.IsEmpty() {
		return map[string]*Allocation{}
	}

	return as.Clone().allocations
}

// MarshalJSON JSON-encodes the AllocationSet
func (as *AllocationSet) MarshalJSON() ([]byte, error) {
	as.RLock()
	defer as.RUnlock()
	return json.Marshal(as.allocations)
}

// Resolution returns the AllocationSet's window duration
func (as *AllocationSet) Resolution() time.Duration {
	return as.Window.Duration()
}

// Set uses the given Allocation to overwrite the existing entry in the
// AllocationSet under the Allocation's name.
func (as *AllocationSet) Set(alloc *Allocation) error {
	if as.IsEmpty() {
		as.Lock()
		as.allocations = map[string]*Allocation{}
		as.externalKeys = map[string]bool{}
		as.idleKeys = map[string]bool{}
		as.Unlock()
	}

	as.Lock()
	defer as.Unlock()

	as.allocations[alloc.Name] = alloc

	// If the given Allocation is an external one, record that
	if alloc.IsExternal() {
		as.externalKeys[alloc.Name] = true
	}

	// If the given Allocation is an idle one, record that
	if alloc.IsIdle() {
		as.idleKeys[alloc.Name] = true
	}

	return nil
}

// Start returns the Start time of the AllocationSet window
func (as *AllocationSet) Start() time.Time {
	if as == nil {
		log.Warningf("Allocation ETL: calling Start on nil AllocationSet")
		return time.Unix(0, 0)
	}
	if as.Window.Start() == nil {
		log.Warningf("Allocation ETL: AllocationSet with illegal window: Start is nil; len(as.allocations)=%d", len(as.allocations))
		return time.Unix(0, 0)
	}
	return *as.Window.Start()
}

// String represents the given Allocation as a string
func (as *AllocationSet) String() string {
	if as == nil {
		return "<nil>"
	}
	return fmt.Sprintf("AllocationSet{length: %d; window: %s; totalCost: %.2f}",
		as.Length(), as.Window, as.TotalCost())
}

// TotalCost returns the sum of all TotalCosts of the allocations contained
func (as *AllocationSet) TotalCost() float64 {
	if as.IsEmpty() {
		return 0.0
	}

	as.RLock()
	defer as.RUnlock()

	tc := 0.0
	for _, a := range as.allocations {
		tc += a.TotalCost()
	}
	return tc
}

// UTCOffset returns the AllocationSet's configured UTCOffset.
func (as *AllocationSet) UTCOffset() time.Duration {
	_, zone := as.Start().Zone()
	return time.Duration(zone) * time.Second
}

func (as *AllocationSet) accumulate(that *AllocationSet) (*AllocationSet, error) {
	if as.IsEmpty() {
		return that, nil
	}

	if that.IsEmpty() {
		return as, nil
	}

	// Set start, end to min(start), max(end)
	start := as.Start()
	end := as.End()
	if that.Start().Before(start) {
		start = that.Start()
	}
	if that.End().After(end) {
		end = that.End()
	}

	acc := NewAllocationSet(start, end)

	as.RLock()
	defer as.RUnlock()

	that.RLock()
	defer that.RUnlock()

	for _, alloc := range as.allocations {
		err := acc.insert(alloc)
		if err != nil {
			return nil, err
		}
	}

	for _, alloc := range that.allocations {
		err := acc.insert(alloc)
		if err != nil {
			return nil, err
		}
	}

	return acc, nil
}

// AllocationSetRange is a thread-safe slice of AllocationSets. It is meant to
// be used such that the AllocationSets held are consecutive and coherent with
// respect to using the same aggregation properties, UTC offset, and
// resolution. However these rules are not necessarily enforced, so use wisely.
type AllocationSetRange struct {
	sync.RWMutex
	allocations []*AllocationSet
}

// NewAllocationSetRange instantiates a new range composed of the given
// AllocationSets in the order provided.
func NewAllocationSetRange(allocs ...*AllocationSet) *AllocationSetRange {
	return &AllocationSetRange{
		allocations: allocs,
	}
}

// Accumulate sums each AllocationSet in the given range, returning a single cumulative
// AllocationSet for the entire range.
func (asr *AllocationSetRange) Accumulate() (*AllocationSet, error) {
	var allocSet *AllocationSet
	var err error

	asr.RLock()
	defer asr.RUnlock()

	for _, as := range asr.allocations {
		allocSet, err = allocSet.accumulate(as)
		if err != nil {
			return nil, err
		}
	}

	return allocSet, nil
}

// TODO niko/etl accumulate into lower-resolution chunks of the given resolution
// func (asr *AllocationSetRange) AccumulateBy(resolution time.Duration) *AllocationSetRange

// AggregateBy aggregates each AllocationSet in the range by the given
// properties and options.
func (asr *AllocationSetRange) AggregateBy(aggregateBy []string, options *AllocationAggregationOptions) error {
	aggRange := &AllocationSetRange{allocations: []*AllocationSet{}}

	asr.Lock()
	defer asr.Unlock()

	for _, as := range asr.allocations {
		err := as.AggregateBy(aggregateBy, options)
		if err != nil {
			return err
		}
		aggRange.allocations = append(aggRange.allocations, as)
	}

	asr.allocations = aggRange.allocations

	return nil
}

// Append appends the given AllocationSet to the end of the range. It does not
// validate whether or not that violates window continuity.
func (asr *AllocationSetRange) Append(that *AllocationSet) {
	asr.Lock()
	defer asr.Unlock()
	asr.allocations = append(asr.allocations, that)
}

// Each invokes the given function for each AllocationSet in the range
func (asr *AllocationSetRange) Each(f func(int, *AllocationSet)) {
	if asr == nil {
		return
	}

	for i, as := range asr.allocations {
		f(i, as)
	}
}

// Get retrieves the AllocationSet at the given index of the range.
func (asr *AllocationSetRange) Get(i int) (*AllocationSet, error) {
	if i < 0 || i >= len(asr.allocations) {
		return nil, fmt.Errorf("AllocationSetRange: index out of range: %d", i)
	}

	asr.RLock()
	defer asr.RUnlock()
	return asr.allocations[i], nil
}

// InsertRange merges the given AllocationSetRange into the receiving one by
// lining up sets with matching windows, then inserting each allocation from
// the given ASR into the respective set in the receiving ASR. If the given
// ASR contains an AllocationSet from a window that does not exist in the
// receiving ASR, then an error is returned. However, the given ASR does not
// need to cover the full range of the receiver.
func (asr *AllocationSetRange) InsertRange(that *AllocationSetRange) error {
	if asr == nil {
		return fmt.Errorf("cannot insert range into nil AllocationSetRange")
	}

	// keys maps window to index in asr
	keys := map[string]int{}
	asr.Each(func(i int, as *AllocationSet) {
		if as == nil {
			return
		}
		keys[as.Window.String()] = i
	})

	// Nothing to merge, so simply return
	if len(keys) == 0 {
		return nil
	}

	var err error
	that.Each(func(j int, thatAS *AllocationSet) {
		if thatAS == nil || err != nil {
			return
		}

		// Find matching AllocationSet in asr
		i, ok := keys[thatAS.Window.String()]
		if !ok {
			err = fmt.Errorf("cannot merge AllocationSet into window that does not exist: %s", thatAS.Window.String())
			return
		}
		as, err := asr.Get(i)
		if err != nil {
			err = fmt.Errorf("AllocationSetRange index does not exist: %d", i)
			return
		}

		// Insert each Allocation from the given set
		thatAS.Each(func(k string, alloc *Allocation) {
			err = as.Insert(alloc)
			if err != nil {
				err = fmt.Errorf("error inserting allocation: %s", err)
				return
			}
		})
	})

	// err might be nil
	return err
}

// Length returns the length of the range, which is zero if nil
func (asr *AllocationSetRange) Length() int {
	if asr == nil || asr.allocations == nil {
		return 0
	}

	asr.RLock()
	defer asr.RUnlock()
	return len(asr.allocations)
}

// MarshalJSON JSON-encodes the range
func (asr *AllocationSetRange) MarshalJSON() ([]byte, error) {
	asr.RLock()
	asr.RUnlock()
	return json.Marshal(asr.allocations)
}

// Slice copies the underlying slice of AllocationSets, maintaining order,
// and returns the copied slice.
func (asr *AllocationSetRange) Slice() []*AllocationSet {
	if asr == nil || asr.allocations == nil {
		return nil
	}

	asr.RLock()
	defer asr.RUnlock()
	copy := []*AllocationSet{}
	for _, as := range asr.allocations {
		copy = append(copy, as.Clone())
	}
	return copy
}

// String represents the given AllocationSetRange as a string
func (asr *AllocationSetRange) String() string {
	if asr == nil {
		return "<nil>"
	}
	return fmt.Sprintf("AllocationSetRange{length: %d}", asr.Length())
}

// UTCOffset returns the detected UTCOffset of the AllocationSets within the
// range. Defaults to 0 if the range is nil or empty. Does not warn if there
// are sets with conflicting UTCOffsets (just returns the first).
func (asr *AllocationSetRange) UTCOffset() time.Duration {
	if asr.Length() == 0 {
		return 0
	}

	as, err := asr.Get(0)
	if err != nil {
		return 0
	}
	return as.UTCOffset()
}

// Window returns the full window that the AllocationSetRange spans, from the
// start of the first AllocationSet to the end of the last one.
func (asr *AllocationSetRange) Window() Window {
	if asr == nil || asr.Length() == 0 {
		return NewWindow(nil, nil)
	}

	start := asr.allocations[0].Start()
	end := asr.allocations[asr.Length()-1].End()

	return NewWindow(&start, &end)
}