fix: align business pages and detail drawers with prototype
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@@ -0,0 +1,167 @@
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package business
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import (
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"database/sql"
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"math/big"
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"sort"
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"gorm.io/gorm"
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"kra/internal/biz/business"
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)
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// Build the same per-channel membership as Channel.IncludesStat. UNION removes
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// descendants reached through both parent_id and top_promote_id.
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func channelMetricMembership(db, roots *gorm.DB, includeSub bool) *gorm.DB {
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self := roots.Session(&gorm.Session{}).Select("p.source_db,p.id AS root_id,p.id AS leaf_id")
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if !includeSub {
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return db.Table("(?) cm", self)
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}
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direct := roots.Session(&gorm.Session{}).Select("p.source_db,p.id AS root_id,leaf.id AS leaf_id").
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Joins("JOIN tab_promote leaf ON leaf.source_db=p.source_db AND leaf.parent_id=p.id").
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Where("p.promote_level<3 AND (p.promote_level<>2 OR leaf.promote_level=3)")
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top := roots.Session(&gorm.Session{}).Select("p.source_db,p.id AS root_id,leaf.id AS leaf_id").
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Joins("JOIN tab_promote leaf ON leaf.source_db=p.source_db AND leaf.top_promote_id=p.id").
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Where("p.promote_level<3 AND p.promote_level<>2")
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return db.Table("(? UNION ? UNION ?) cm", self, direct, top)
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}
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// Only keys and scores for visible rows are retained. Identity rows are streamed
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// one channel at a time, using the same normalization as the displayed count.
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func channelMetricPage(db, roots *gorm.DB, f business.ChannelFilter, o business.ListOptions) ([]business.ChannelKey, error) {
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var channels []channelPO
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if err := roots.Session(&gorm.Session{}).Select("p.id,p.source_db,p.create_time").Scan(&channels).Error; err != nil {
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return nil, business.ErrStorage
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}
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if len(channels) == 0 {
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return nil, nil
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}
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table := "tab_user"
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if f.SortField == "totalPayAmount" {
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table = "tab_spend"
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}
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available, err := businessTableAvailable(db, table)
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if err != nil {
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return nil, err
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}
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if !available {
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return nil, business.ErrChannelUnavailable
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}
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scores := map[business.ChannelKey]*big.Rat{}
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q := channelMetricMembership(db, roots, f.IncludeSub)
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// MySQL 5.7 may choose the narrow pay_status index and then fetch millions
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// of full records. Prefer the existing covering index for this full scan.
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metricTable := table
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index := "idx_sw_user_report_identity"
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if table == "tab_spend" {
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index = "idx_sw_spend_promote_summary"
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}
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if db.Dialector.Name() == "mysql" && db.Migrator().HasIndex(table, index) {
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metricTable += " FORCE INDEX (" + index + ")"
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}
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leaves := db.Table(metricTable)
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if len(f.Sources) > 0 {
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leaves = leaves.Where("source_db IN ?", f.Sources)
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}
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if f.SortField == "totalPayAmount" {
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leaves = leaves.Where("pay_status=1")
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} else {
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leaves = leaves.Where("puid=0 OR puid IS NULL")
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}
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if f.SortField == "playerCount" && f.IDCardDedup {
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join := "STRAIGHT_JOIN"
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if db.Dialector.Name() == "sqlite" {
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join = "JOIN"
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}
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// Stream the covering user index once, then look up its channel roots.
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// Grouping raw identity strings first creates a large disk temporary table
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// and still cannot apply the domain's exact whitespace/X normalization.
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leaves = leaves.Select("source_db,promote_id,idcard")
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members := q.Select("cm.source_db,cm.root_id,cm.leaf_id")
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rows, err := db.Table("(?) u", leaves).Joins(join+" (?) cm ON cm.source_db=u.source_db AND cm.leaf_id=u.promote_id", members).
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Select("cm.source_db,cm.root_id,u.idcard").Order("cm.source_db,cm.root_id").Rows()
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if err != nil {
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return nil, business.ErrStorage
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}
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defer rows.Close()
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var previous business.ChannelKey
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identities := map[string]struct{}{}
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flush := func() { scores[previous] = big.NewRat(int64(len(identities)), 1) }
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for rows.Next() {
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var key business.ChannelKey
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var card sql.NullString
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if err := rows.Scan(&key.SourceDB, &key.ID, &card); err != nil {
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return nil, business.ErrStorage
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}
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if key != previous {
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flush()
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identities = map[string]struct{}{}
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previous = key
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}
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if identity := business.ChannelIdentity(card.String); identity != "" {
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identities[identity] = struct{}{}
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}
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}
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if err := rows.Err(); err != nil {
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return nil, business.ErrStorage
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}
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flush()
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} else {
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var values []struct {
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SourceDB string
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RootID uint64
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Score string
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}
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if f.SortField == "totalPayAmount" {
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leaves = leaves.Select("source_db,promote_id,COALESCE(SUM(pay_amount),0) AS score")
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} else {
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leaves = leaves.Select("source_db,promote_id,COUNT(*) AS score")
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}
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leaves = leaves.Group("source_db,promote_id")
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q = q.Joins("JOIN (?) leaf ON leaf.source_db=cm.source_db AND leaf.promote_id=cm.leaf_id", leaves).
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Select("cm.source_db,cm.root_id,SUM(leaf.score) AS score")
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if err := q.Group("cm.source_db,cm.root_id").Scan(&values).Error; err != nil {
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return nil, business.ErrStorage
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}
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for _, value := range values {
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score, ok := new(big.Rat).SetString(value.Score)
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if !ok {
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return nil, business.ErrStorage
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}
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scores[business.ChannelKey{SourceDB: value.SourceDB, ID: value.RootID}] = score
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}
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}
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zero := new(big.Rat)
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score := func(c channelPO) *big.Rat {
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if n := scores[business.ChannelKey{SourceDB: c.SourceDB, ID: c.ID}]; n != nil {
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return n
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}
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return zero
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}
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sort.Slice(channels, func(i, j int) bool {
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a, b := channels[i], channels[j]
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if compared := score(a).Cmp(score(b)); compared != 0 {
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return (compared < 0) == f.Ascending
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}
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if a.CreateTime == nil || b.CreateTime == nil {
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if (a.CreateTime == nil) != (b.CreateTime == nil) {
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return a.CreateTime != nil
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}
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} else if *a.CreateTime != *b.CreateTime {
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return *a.CreateTime > *b.CreateTime
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}
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if a.ID != b.ID {
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return a.ID > b.ID
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}
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return a.SourceDB < b.SourceDB
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})
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begin := min(max(0, o.Offset), len(channels))
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end := len(channels)
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if o.Limit > 0 && o.Limit < end-begin {
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end = begin + o.Limit
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}
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keys := make([]business.ChannelKey, 0, end-begin)
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for _, row := range channels[begin:end] {
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keys = append(keys, business.ChannelKey{SourceDB: row.SourceDB, ID: row.ID})
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}
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return keys, nil
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}
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