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@@ -0,0 +1,197 @@
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package platform
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import (
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collector "aquacontrolai/internal/engine/collector"
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pg "aquacontrolai/internal/repository/postgres"
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td "aquacontrolai/internal/repository/tdengine"
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"context"
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"crypto/sha256"
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"fmt"
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"github.com/google/uuid"
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"math"
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"sort"
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"time"
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)
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type History struct {
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PG *pg.Store
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TD *td.Store
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Collector interface {
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Latest(uuid.UUID) *collector.LatestValue
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}
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}
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type Series struct {
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PointID uuid.UUID `json:"point_id"`
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PointName string `json:"point_name"`
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DataType string `json:"data_type"`
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Unit *string `json:"unit"`
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Sampled bool `json:"sampled"`
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RawCount int `json:"raw_count"`
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SampleCount int `json:"sample_count"`
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Data []td.Sample `json:"data"`
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}
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func (h *History) Tree(ctx context.Context) ([]map[string]any, error) {
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points, e := h.PG.ListPoints(ctx, "collection", "", true)
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if e != nil {
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return nil, e
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}
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groups := map[string][]map[string]any{}
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for _, p := range points {
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active := p.Enabled && p.StoreHistory
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has := h.TD.HasData(ctx, p.ID)
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if !active && !has {
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continue
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}
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life := "active"
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if !active {
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life = "archived"
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}
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var latest any
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if h.Collector != nil && life == "active" {
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latest = h.Collector.Latest(p.ID)
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}
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groups[p.GroupName] = append(groups[p.GroupName], map[string]any{"id": p.ID, "name": p.Name, "type": "collection", "data_type": p.DataType, "unit": p.Unit, "history_interval": p.HistoryInterval, "device_id": p.DeviceID, "device_name": p.DeviceName, "group_name": p.GroupName, "lifecycle_status": life, "has_history_data": has, "latest_value": latest})
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}
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names := make([]string, 0, len(groups))
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for n := range groups {
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names = append(names, n)
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}
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sort.Strings(names)
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tree := []map[string]any{}
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for _, n := range names {
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hash := sha256.Sum256([]byte(n))
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tree = append(tree, map[string]any{"id": fmt.Sprintf("group_%x", hash[:8]), "name": n, "type": "group", "children": groups[n]})
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}
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tree = append(tree, map[string]any{"id": "internal-data", "name": "内部数据", "type": "reserved", "children": []map[string]any{{"id": "placeholder", "name": "暂无数据", "type": "placeholder", "disabled": true}}})
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return tree, nil
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}
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func (h *History) Query(ctx context.Context, ids []uuid.UUID, start, end time.Time, max int) ([]Series, error) {
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meta, e := h.PG.ListPoints(ctx, "collection", "", true)
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if e != nil {
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return nil, e
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}
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byID := map[uuid.UUID]pg.PointRow{}
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for _, p := range meta {
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byID[p.ID] = p
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}
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out := make([]Series, 0, len(ids))
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for _, id := range ids {
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p, ok := byID[id]
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if !ok {
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return nil, fmt.Errorf("点位元数据不存在: %s", id)
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}
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data, e := h.TD.Query(ctx, id, start, end)
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if e != nil {
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return nil, e
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}
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raw := len(data)
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if raw > max {
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data = minMax(data, max)
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}
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out = append(out, Series{id, p.Name, p.DataType, p.Unit, raw > len(data), raw, len(data), data})
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}
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return out, nil
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}
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func minMax(data []td.Sample, max int) []td.Sample {
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if len(data) <= max {
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return data
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}
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keep := map[int]bool{0: true, len(data) - 1: true}
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bucket := float64(len(data)) / float64(max/2)
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for b := 0; b < max/2; b++ {
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lo, hi := int(float64(b)*bucket), int(float64(b+1)*bucket)
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if hi > len(data) {
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hi = len(data)
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}
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minI, maxI := -1, -1
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for i := lo; i < hi; i++ {
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if data[i].Value == nil {
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keep[i] = true
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continue
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}
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if minI < 0 || *data[i].Value < *data[minI].Value {
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minI = i
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}
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if maxI < 0 || *data[i].Value > *data[maxI].Value {
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maxI = i
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}
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if i > 0 && data[i].Quality != data[i-1].Quality {
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keep[i-1] = true
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keep[i] = true
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}
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}
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if minI >= 0 {
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keep[minI] = true
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keep[maxI] = true
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}
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}
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idx := make([]int, 0, len(keep))
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for i := range keep {
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idx = append(idx, i)
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}
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sort.Ints(idx)
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if len(idx) > max {
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idx = idx[:max]
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}
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out := make([]td.Sample, 0, len(idx))
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for _, i := range idx {
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out = append(out, data[i])
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}
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return out
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}
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type TableValue struct {
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Value *float64 `json:"value"`
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Quality string `json:"quality"`
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QualityReason *string `json:"quality_reason"`
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MatchedTS *time.Time `json:"matched_ts"`
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}
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type TableColumn struct {
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PointID uuid.UUID `json:"point_id"`
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PointName string `json:"point_name"`
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Unit *string `json:"unit"`
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Data []TableValue `json:"data"`
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}
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type TableResult struct {
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TimeColumn []time.Time `json:"time_column"`
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Columns []TableColumn `json:"columns"`
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}
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func (h *History) QueryTable(ctx context.Context, ids []uuid.UUID, start, end time.Time, minutes int) (TableResult, error) {
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step := time.Duration(minutes) * time.Minute
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times := []time.Time{}
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for t := start; !t.After(end); t = t.Add(step) {
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times = append(times, t)
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}
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series, e := h.Query(ctx, ids, start.Add(-step/2), end.Add(step/2), 10000)
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if e != nil {
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return TableResult{}, e
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}
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res := TableResult{TimeColumn: times, Columns: []TableColumn{}}
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for _, s := range series {
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col := TableColumn{s.PointID, s.PointName, s.Unit, make([]TableValue, 0, len(times))}
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for _, target := range times {
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best := -1
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bestDist := time.Duration(math.MaxInt64)
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for i, x := range s.Data {
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d := x.TS.Sub(target)
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if d < 0 {
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d = -d
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}
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if d <= step/2 && (d < bestDist || (d == bestDist && best >= 0 && x.TS.Before(s.Data[best].TS))) {
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best, bestDist = i, d
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}
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}
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if best < 0 {
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col.Data = append(col.Data, TableValue{nil, "none", nil, nil})
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} else {
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x := s.Data[best]
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ts := x.TS
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col.Data = append(col.Data, TableValue{x.Value, x.Quality, x.QualityReason, &ts})
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}
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}
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res.Columns = append(res.Columns, col)
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}
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return res, nil
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}
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