import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.BucketOrder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramInterval;
import org.opensearch.search.aggregations.bucket.histogram.Histogram;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.metrics.Avg;
import org.opensearch.search.aggregations.metrics.Cardinality;

				return
			}
		case "Histogram":
			var zb0004 uint32
			zb0004, bts, err = msgp.ReadMapHeaderBytes(bts)
			if err != nil {
				err = msgp.WrapError(err, "Histogram")
				return
			}
			if z.Histogram == nil {
				z.Histogram = make(map[string]uint64, zb0004)
			} else if len(z.Histogram) > 0 {
				clear(z.Histogram)
			}
			for zb0004 > 0 {
				var za0006 uint64

				t.Error("got objects", e.Objects, "want", w.objs)
			}
			if e.Versions != uint64(w.objs) {
				t.Error("got versions", e.Versions, "want", w.objs)
			}
			if e.ObjSizes != w.oSizes {
				t.Error("got histogram", e.ObjSizes, "want", w.oSizes)
			}
		})
	}

	files = []usageTestFile{
		{
			name: "newfolder/afile",
			size: 4,
		},
		{
			name: "newfolder/anotherone",
			size: 1,
		},

	{"GREATER_THAN_512_MB", humanize.MiByte * 512, math.MaxInt64},
}

// ObjectsHistogramIntervals is the list of all intervals
// of object sizes to be included in objects histogram.
// Note: this histogram expands 1024B-1MB to incl. 1024B-64KB, 64KB-256KB, 256KB-512KB and 512KB-1MiB
var ObjectsHistogramIntervals = [dataUsageBucketLen]objectHistogramInterval{
	{"LESS_THAN_1024_B", 0, humanize.KiByte - 1},

	ReplicatedCount         uint64 `json:"objectsReplicatedCount"`
}

// BucketUsageInfo - bucket usage info provides
// - total size of the bucket
// - total objects in a bucket
// - object size histogram per bucket
type BucketUsageInfo struct {
	Size uint64 `json:"size"`
	// Following five fields suffixed with V1 are here for backward compatibility
	// Total Size for objects that have not yet been replicated

	// additional labels for +Inf for all histogram metrics
	if expPoints := len(labels) * (len(histBuckets) + 1); expPoints != len(metrics) {
		t.Fatalf("Expected %v data points when toLowerAPILabels=false but got %v", expPoints, len(metrics))
	}

	metrics = getHistogramMetrics(ttfbHist, getBucketTTFBDistributionMD(), true, false)
	// additional labels for +Inf for all histogram metrics

"kuery\"},\"filter\":[],\"indexRefName\":\"kibanaSavedObjectMeta.searchSourceJSON.index\"}"},"title":"search-query-counts-per-sec","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"search-query-counts-per-sec\",\"type\":\"histogram\",\"params\":{\"type\":\"histogram\",\"grid\":{\"categoryLines\":false},\"categoryAxes\":[{\"id\":\"CategoryAxis-1\",\"type\":\"category\",\"position\":\"bottom\",\"show\":true,\"style\":{},\"scale\":{\"type\":\"linear\"},\"labels\":{\"show\":true,\"truncate\":1...

	sync.RWMutex  // protects requestsCount only
	requestsCount map[string]struct {
		success int64
		failure int64
	}
	histogram *prometheus.HistogramVec
}

var globalTierMetrics = tierMetrics{
	requestsCount: make(map[string]struct {
		success int64
		failure int64
	}),
	histogram: prometheus.NewHistogramVec(prometheus.HistogramOpts{
		Name:    "tier_ttlb_seconds",

// dataUsageHash is the hash type used.
type dataUsageHash string

// sizeHistogramV1 is size histogram V1, which has fewer intervals esp. between
// 1024B and 1MiB.
type sizeHistogramV1 [dataUsageBucketLenV1]uint64

// sizeHistogram is a size histogram.
type sizeHistogram [dataUsageBucketLen]uint64

// versionsHistogram is a histogram of number of versions in an object.
type versionsHistogram [dataUsageVersionLen]uint64

	// GaugeMT - represents a gauge metric.
	GaugeMT
	// HistogramMT - represents a histogram metric.
	HistogramMT
)

// rangeL - represents a range label.
const rangeL = "range"

func (mt MetricType) String() string {
	switch mt {
	case CounterMT:
		return "counter"
	case GaugeMT:
		return "gauge"
	case HistogramMT:
		return "histogram"
	default:
		return "*unknown*"
	}
}