feat(channel-monitor): aggregate history to daily rollups + soft delete
明细只保留 1 天,超过 1 天聚合到新表 channel_monitor_daily_rollups(按 monitor_id/model/bucket_date 维度),聚合保留 30 天。两张表都用 SoftDeleteMixin 软删除(DELETE 自动改为 UPDATE deleted_at = NOW())。 聚合 + 清理任务由 OpsCleanupService 的 cron 统一调度,与运维监控的清理共享 schedule(默认 0 2 * * *)和 leader lock。ChannelMonitorRunner 的 cleanupLoop 被移除,只保留 dueCheckLoop。 读取路径 ComputeAvailability* 改为 UNION 明细(今天 deleted_at IS NULL)+ 聚合(过去 windowDays 天 deleted_at IS NULL),SUM(ok)/SUM(total) 自然加权 计算可用率,AVG latency 用 SUM(sum_latency_ms)/SUM(count_latency)。 watermark 表 channel_monitor_aggregation_watermark 单行(id=1),记录 last_aggregated_date,重启后从该日期 +1 继续聚合,首次为 nil 则从 today - 30d 开始回填,单次最多 35 天上限避免长事务。 raw SQL 的 ListLatestPerModel / ListLatestForMonitorIDs / ListRecentHistoryForMonitors 都补上 deleted_at IS NULL 过滤(SoftDeleteMixin interceptor 只对 ent query 生效)。 bump version to 0.1.114.28 GroupBadge 在 MonitorKeyPickerDialog 中复用平台主题色 + 倍率/专属倍率 (顺手优化)。
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@@ -9,6 +9,7 @@ import (
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dbent "github.com/Wei-Shaw/sub2api/ent"
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"github.com/Wei-Shaw/sub2api/ent/channelmonitor"
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"github.com/Wei-Shaw/sub2api/ent/channelmonitordailyrollup"
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"github.com/Wei-Shaw/sub2api/ent/channelmonitorhistory"
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"github.com/Wei-Shaw/sub2api/internal/service"
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"github.com/lib/pq"
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@@ -246,6 +247,7 @@ func (r *channelMonitorRepository) ListLatestPerModel(ctx context.Context, monit
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model, status, latency_ms, ping_latency_ms, checked_at
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FROM channel_monitor_histories
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WHERE monitor_id = $1
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AND deleted_at IS NULL
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ORDER BY model, checked_at DESC
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`
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rows, err := r.db.QueryContext(ctx, q, monitorID)
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@@ -280,23 +282,48 @@ func assignNullInt(dst **int, n sql.NullInt64) {
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// ComputeAvailability 计算指定窗口内每个模型的可用率与平均延迟。
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// "可用" = status IN (operational, degraded)。
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//
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// 数据来源:明细表只保留 1 天;窗口前其余天数走聚合表。
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// - raw = 今天(CURRENT_DATE 起)的未软删明细,按 model 累加
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// - rollup = [CURRENT_DATE - windowDays, CURRENT_DATE) 区间的聚合行
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//
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// 总窗口为 "今天 + 过去 windowDays 天",比 windowDays 字面值大 1 天,但因为聚合
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// 是按整 UTC 日切的,这是聚合化无法避免的精度损失,且偏宽不偏窄(数据更全)。
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func (r *channelMonitorRepository) ComputeAvailability(ctx context.Context, monitorID int64, windowDays int) ([]*service.ChannelMonitorAvailability, error) {
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if windowDays <= 0 {
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windowDays = 7
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}
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const q = `
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SELECT
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model,
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COUNT(*) AS total_checks,
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COUNT(*) FILTER (WHERE status IN ('operational','degraded')) AS ok_checks,
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AVG(latency_ms) FILTER (WHERE latency_ms IS NOT NULL) AS avg_latency_ms
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FROM channel_monitor_histories
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WHERE monitor_id = $1
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AND checked_at >= $2
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WITH raw AS (
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SELECT model,
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COUNT(*) AS total_checks,
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COUNT(*) FILTER (WHERE status IN ('operational','degraded')) AS ok_count,
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COALESCE(SUM(latency_ms) FILTER (WHERE latency_ms IS NOT NULL), 0) AS sum_latency_ms,
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COUNT(latency_ms) AS count_latency
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FROM channel_monitor_histories
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WHERE monitor_id = $1
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AND deleted_at IS NULL
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AND checked_at >= CURRENT_DATE
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GROUP BY model
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),
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rollup AS (
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SELECT model, total_checks, ok_count, sum_latency_ms, count_latency
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FROM channel_monitor_daily_rollups
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WHERE monitor_id = $1
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AND deleted_at IS NULL
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AND bucket_date >= (CURRENT_DATE - $2::int)
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AND bucket_date < CURRENT_DATE
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)
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SELECT model,
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SUM(total_checks) AS total,
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SUM(ok_count) AS ok,
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CASE WHEN SUM(count_latency) > 0
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THEN SUM(sum_latency_ms)::float8 / SUM(count_latency)
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ELSE NULL END AS avg_latency_ms
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FROM (SELECT * FROM raw UNION ALL SELECT * FROM rollup) combined
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GROUP BY model
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`
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from := time.Now().AddDate(0, 0, -windowDays)
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rows, err := r.db.QueryContext(ctx, q, monitorID, from)
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rows, err := r.db.QueryContext(ctx, q, monitorID, windowDays)
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if err != nil {
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return nil, fmt.Errorf("query availability: %w", err)
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}
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@@ -349,6 +376,7 @@ func (r *channelMonitorRepository) ListLatestForMonitorIDs(ctx context.Context,
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monitor_id, model, status, latency_ms, ping_latency_ms, checked_at
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FROM channel_monitor_histories
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WHERE monitor_id = ANY($1)
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AND deleted_at IS NULL
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ORDER BY monitor_id, model, checked_at DESC
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`
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rows, err := r.db.QueryContext(ctx, q, pq.Array(ids))
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@@ -409,6 +437,7 @@ func (r *channelMonitorRepository) ListRecentHistoryForMonitors(
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FROM channel_monitor_histories h
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JOIN targets t
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ON t.monitor_id = h.monitor_id AND t.model = h.model
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WHERE h.deleted_at IS NULL
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)
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SELECT monitor_id, status, latency_ms, ping_latency_ms, checked_at
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FROM ranked
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@@ -476,6 +505,7 @@ func clampTimelineLimit(n int) int {
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}
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// ComputeAvailabilityForMonitors 一次性计算多个监控在某个窗口内的每模型可用率与平均延迟。
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// 与单 monitor 版本同构:明细只覆盖今天,更早走聚合表 UNION 合并。
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func (r *channelMonitorRepository) ComputeAvailabilityForMonitors(ctx context.Context, ids []int64, windowDays int) (map[int64][]*service.ChannelMonitorAvailability, error) {
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out := make(map[int64][]*service.ChannelMonitorAvailability, len(ids))
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if len(ids) == 0 {
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@@ -485,19 +515,38 @@ func (r *channelMonitorRepository) ComputeAvailabilityForMonitors(ctx context.Co
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windowDays = 7
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}
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const q = `
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SELECT
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monitor_id,
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model,
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COUNT(*) AS total_checks,
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COUNT(*) FILTER (WHERE status IN ('operational','degraded')) AS ok_checks,
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AVG(latency_ms) FILTER (WHERE latency_ms IS NOT NULL) AS avg_latency_ms
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FROM channel_monitor_histories
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WHERE monitor_id = ANY($1)
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AND checked_at >= $2
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WITH raw AS (
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SELECT monitor_id,
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model,
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COUNT(*) AS total_checks,
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COUNT(*) FILTER (WHERE status IN ('operational','degraded')) AS ok_count,
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COALESCE(SUM(latency_ms) FILTER (WHERE latency_ms IS NOT NULL), 0) AS sum_latency_ms,
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COUNT(latency_ms) AS count_latency
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FROM channel_monitor_histories
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WHERE monitor_id = ANY($1)
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AND deleted_at IS NULL
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AND checked_at >= CURRENT_DATE
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GROUP BY monitor_id, model
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),
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rollup AS (
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SELECT monitor_id, model, total_checks, ok_count, sum_latency_ms, count_latency
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FROM channel_monitor_daily_rollups
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WHERE monitor_id = ANY($1)
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AND deleted_at IS NULL
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AND bucket_date >= (CURRENT_DATE - $2::int)
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AND bucket_date < CURRENT_DATE
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)
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SELECT monitor_id,
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model,
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SUM(total_checks) AS total,
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SUM(ok_count) AS ok,
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CASE WHEN SUM(count_latency) > 0
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THEN SUM(sum_latency_ms)::float8 / SUM(count_latency)
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ELSE NULL END AS avg_latency_ms
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FROM (SELECT * FROM raw UNION ALL SELECT * FROM rollup) combined
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GROUP BY monitor_id, model
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`
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from := time.Now().AddDate(0, 0, -windowDays)
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rows, err := r.db.QueryContext(ctx, q, pq.Array(ids), from)
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rows, err := r.db.QueryContext(ctx, q, pq.Array(ids), windowDays)
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if err != nil {
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return nil, fmt.Errorf("query availability batch: %w", err)
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}
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@@ -521,6 +570,116 @@ func (r *channelMonitorRepository) ComputeAvailabilityForMonitors(ctx context.Co
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return out, nil
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}
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// ---------- 聚合维护 ----------
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// UpsertDailyRollupsFor 把 targetDate 当天([targetDate, targetDate+1d))未软删的明细
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// 按 (monitor_id, model, bucket_date) 聚合写入 channel_monitor_daily_rollups。
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// - 用 ON CONFLICT (monitor_id, model, bucket_date) DO UPDATE 实现幂等回填,
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// 重复执行只会用最新统计覆盖;
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// - 同时把 deleted_at 重置为 NULL,避免历史误删后聚合行被持续过滤掉;
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// - $1::date 让 PG 自动把入参 truncate 到 UTC 日期,调用方不需要预处理 targetDate。
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func (r *channelMonitorRepository) UpsertDailyRollupsFor(ctx context.Context, targetDate time.Time) (int64, error) {
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const q = `
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INSERT INTO channel_monitor_daily_rollups (
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monitor_id, model, bucket_date,
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total_checks, ok_count,
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operational_count, degraded_count, failed_count, error_count,
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sum_latency_ms, count_latency,
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sum_ping_latency_ms, count_ping_latency,
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computed_at
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)
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SELECT
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monitor_id,
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model,
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$1::date AS bucket_date,
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COUNT(*) AS total_checks,
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COUNT(*) FILTER (WHERE status IN ('operational','degraded')) AS ok_count,
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COUNT(*) FILTER (WHERE status = 'operational') AS operational_count,
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COUNT(*) FILTER (WHERE status = 'degraded') AS degraded_count,
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COUNT(*) FILTER (WHERE status = 'failed') AS failed_count,
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COUNT(*) FILTER (WHERE status = 'error') AS error_count,
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COALESCE(SUM(latency_ms) FILTER (WHERE latency_ms IS NOT NULL), 0) AS sum_latency_ms,
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COUNT(latency_ms) AS count_latency,
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COALESCE(SUM(ping_latency_ms) FILTER (WHERE ping_latency_ms IS NOT NULL), 0) AS sum_ping_latency_ms,
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COUNT(ping_latency_ms) AS count_ping_latency,
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NOW()
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FROM channel_monitor_histories
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WHERE deleted_at IS NULL
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AND checked_at >= $1::date
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AND checked_at < ($1::date + INTERVAL '1 day')
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GROUP BY monitor_id, model
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ON CONFLICT (monitor_id, model, bucket_date) DO UPDATE SET
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total_checks = EXCLUDED.total_checks,
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ok_count = EXCLUDED.ok_count,
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operational_count = EXCLUDED.operational_count,
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degraded_count = EXCLUDED.degraded_count,
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failed_count = EXCLUDED.failed_count,
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error_count = EXCLUDED.error_count,
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sum_latency_ms = EXCLUDED.sum_latency_ms,
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count_latency = EXCLUDED.count_latency,
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sum_ping_latency_ms = EXCLUDED.sum_ping_latency_ms,
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count_ping_latency = EXCLUDED.count_ping_latency,
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computed_at = NOW(),
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deleted_at = NULL
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`
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res, err := r.db.ExecContext(ctx, q, targetDate)
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if err != nil {
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return 0, fmt.Errorf("upsert daily rollups for %s: %w", targetDate.Format("2006-01-02"), err)
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}
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n, err := res.RowsAffected()
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if err != nil {
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return 0, fmt.Errorf("rows affected (upsert rollups): %w", err)
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}
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return n, nil
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}
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// DeleteRollupsBefore 软删 bucket_date < beforeDate 的聚合行。
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// 走 ent client,利用 SoftDeleteMixin 把 DELETE 自动改写为 UPDATE deleted_at = NOW()。
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func (r *channelMonitorRepository) DeleteRollupsBefore(ctx context.Context, beforeDate time.Time) (int64, error) {
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client := clientFromContext(ctx, r.client)
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n, err := client.ChannelMonitorDailyRollup.Delete().
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Where(channelmonitordailyrollup.BucketDateLT(beforeDate)).
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Exec(ctx)
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if err != nil {
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return 0, fmt.Errorf("delete rollups before: %w", err)
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}
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return int64(n), nil
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}
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// LoadAggregationWatermark 读 watermark 表(id=1)。
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// watermark 表不是 ent schema(只有一行),直接走原生 SQL。
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// - 行不存在或 last_aggregated_date IS NULL:返回 (nil, nil),由调用方决定首次回填策略
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func (r *channelMonitorRepository) LoadAggregationWatermark(ctx context.Context) (*time.Time, error) {
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const q = `SELECT last_aggregated_date FROM channel_monitor_aggregation_watermark WHERE id = 1`
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var t sql.NullTime
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if err := r.db.QueryRowContext(ctx, q).Scan(&t); err != nil {
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if err == sql.ErrNoRows {
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return nil, nil
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}
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return nil, fmt.Errorf("load aggregation watermark: %w", err)
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}
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if !t.Valid {
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return nil, nil
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}
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return &t.Time, nil
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}
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// UpdateAggregationWatermark 更新 watermark(UPSERT 到 id=1)。
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// $1::date 让 PG 把入参 truncate 到 UTC 日期,与 last_aggregated_date 列的 DATE 类型一致。
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func (r *channelMonitorRepository) UpdateAggregationWatermark(ctx context.Context, date time.Time) error {
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const q = `
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INSERT INTO channel_monitor_aggregation_watermark (id, last_aggregated_date, updated_at)
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VALUES (1, $1::date, NOW())
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ON CONFLICT (id) DO UPDATE SET
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last_aggregated_date = EXCLUDED.last_aggregated_date,
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updated_at = NOW()
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`
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if _, err := r.db.ExecContext(ctx, q, date); err != nil {
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return fmt.Errorf("update aggregation watermark: %w", err)
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}
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return nil
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}
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// ---------- helpers ----------
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func entToServiceMonitor(row *dbent.ChannelMonitor) *service.ChannelMonitor {
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