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151 lines
4.9 KiB
151 lines
4.9 KiB
package api
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import (
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"yunyan/comm"
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"yunyan/lego/sys/mysql"
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"yunyan/pb"
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"fmt"
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"time"
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)
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// rebuildUserStatisticsFromLogs 从 useruselog + echomeet_record 全量重建 userstatistics。
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//
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// Phase 1 — useruselog(logtype=UserConsume):
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// - addagentintegral < 0 → 翻译/AI 消耗,合并到 trademodel1_time/trademodel1_num
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// - addmeetsecond < 0 → 实时会议(UsageType_Meet 路径)消耗
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//
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// Phase 2 — echomeet_record:
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//
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// echomeet 启动任务时直接扣 meetintegral,未写 useruselog;
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// state > 0 且 != TranscribeFail(10002) 的记录表示积分已扣且未退款。
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// 使用 ON DUPLICATE KEY UPDATE 累加到 Phase 1 已写入的行。
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//
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// 步骤:先 TRUNCATE,再两阶段 INSERT,保证幂等。
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func (this *modelComp) rebuildUserStatisticsFromLogs() (rowsInserted int64, err error) {
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if err = mysql.Exec(fmt.Sprintf("TRUNCATE TABLE %s", comm.TableUserStatistics)).Error; err != nil {
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return
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}
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// Phase 1: 从 useruselog 聚合翻译消耗 + 实时会议消耗
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sql1 := fmt.Sprintf(
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`INSERT INTO %s (uid, meetnum, meettime, trademodel1_num, trademodel1_time)
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SELECT
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uid,
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SUM(CASE WHEN addmeetsecond < 0 THEN 1 ELSE 0 END),
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COALESCE(SUM(CASE WHEN addmeetsecond < 0 THEN -addmeetsecond ELSE 0 END), 0),
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SUM(CASE WHEN addagentintegral < 0 THEN 1 ELSE 0 END),
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COALESCE(SUM(CASE WHEN addagentintegral < 0 THEN -addagentintegral ELSE 0 END), 0)
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FROM %s
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WHERE logtype = ?
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GROUP BY uid`,
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comm.TableUserStatistics, comm.TableUserUseLog,
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)
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tx1 := mysql.Exec(sql1, int32(pb.UserLogType_UserConsume))
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if tx1.Error != nil {
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err = tx1.Error
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return
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}
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rowsInserted += tx1.RowsAffected
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// Phase 2: 从 echomeet_record 聚合文件转写会议消耗
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// state > 0: 任务已启动(积分已扣)
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// state != 10002 (TranscribeFail): 短音频失败时积分会退款,排除
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sql2 := fmt.Sprintf(
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`INSERT INTO %s (uid, meetnum, meettime)
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SELECT uid, COUNT(*) AS meetnum, COALESCE(SUM(seconds), 0) AS meettime
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FROM %s
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WHERE state > 0 AND state != ? AND seconds > 0
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GROUP BY uid
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ON DUPLICATE KEY UPDATE
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meetnum = meetnum + VALUES(meetnum),
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meettime = meettime + VALUES(meettime)`,
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comm.TableUserStatistics, comm.TableEchomeetRecord,
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)
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tx2 := mysql.Exec(sql2, int32(pb.DBEchoMeetRecordState_TranscribeFail))
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if tx2.Error != nil {
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err = tx2.Error
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return
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}
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rowsInserted += tx2.RowsAffected
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return
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}
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// 产品激活/绑定统计重建 ----------------------------------------------------------
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// productDeviceAgg userdevice 按 productid 聚合的中间结果
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type productDeviceAgg struct {
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Productid uint32 `gorm:"column:productid"`
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Activated int64 `gorm:"column:activated"`
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Bound int64 `gorm:"column:bound"`
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}
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// aggUserDeviceByProduct 按 productid 聚合 userdevice:
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//
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// activated = 该产品的设备绑定记录行数(激活设备数)
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// bound = 该产品去重后的非空 uid 数(绑定用户数)
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//
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// NULLIF(uid,”) 把空串转 NULL,使 COUNT(DISTINCT) 自动忽略未绑定用户的记录。
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func (this *modelComp) aggUserDeviceByProduct() (rows []*productDeviceAgg, err error) {
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rows = make([]*productDeviceAgg, 0)
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err = mysql.Table(comm.TableUserdevice).
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Select("productid, COUNT(*) AS activated, COUNT(DISTINCT NULLIF(uid,'')) AS bound").
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Group("productid").
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Scan(&rows).Error
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return
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}
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// rebuildProductStats 全量重建 product_stat:
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// 扫描整张 userdevice 表汇总每个产品的激活设备数 / 绑定用户数,
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// 并为 product 表中尚无设备的产品补 0 行,保证“所有产品”都有一条统计;
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// 最后 TRUNCATE 后整表改写。返回写入的行数。
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func (this *modelComp) rebuildProductStats() (rows int, err error) {
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agg, err := this.aggUserDeviceByProduct()
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if err != nil {
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return
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}
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now := time.Now().Unix()
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statMap := make(map[uint32]*pb.DBProductStat, len(agg))
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for _, a := range agg {
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if a.Productid == 0 { // userdevice 中无产品归属的脏数据,仪表盘不会查询,跳过
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continue
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}
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statMap[a.Productid] = &pb.DBProductStat{
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Productid: a.Productid,
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ActivatedCount: a.Activated,
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BoundUserCount: a.Bound,
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UpdateTime: now,
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}
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}
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// product 表里尚无设备的产品补 0 行
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products, perr := this.products()
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if perr != nil {
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err = perr
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return
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}
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for _, p := range products {
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if _, ok := statMap[p.Id]; !ok {
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statMap[p.Id] = &pb.DBProductStat{Productid: p.Id, UpdateTime: now}
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}
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}
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list := make([]*pb.DBProductStat, 0, len(statMap))
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for _, v := range statMap {
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list = append(list, v)
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}
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if err = mysql.Exec("TRUNCATE TABLE " + comm.TableProductStat).Error; err != nil {
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return
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}
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rows = len(list)
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if len(list) == 0 {
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return
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}
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const batch = 500
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for i := 0; i < len(list); i += batch {
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j := i + batch
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if j > len(list) {
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j = len(list)
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}
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if err = mysql.Table(comm.TableProductStat).CreateInBatches(list[i:j], batch).Error; err != nil {
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return
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}
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}
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return
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}
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