2026-04-21 10:10:56 +08:00
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package schema
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import (
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"time"
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"entgo.io/ent"
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"entgo.io/ent/dialect"
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"entgo.io/ent/dialect/entsql"
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"entgo.io/ent/schema"
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"entgo.io/ent/schema/edge"
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"entgo.io/ent/schema/field"
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"entgo.io/ent/schema/index"
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)
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// ChannelMonitorDailyRollup 按 (monitor_id, model, bucket_date) 维度聚合的渠道监控日统计。
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// 每天的明细被收敛为一行(保留 status 分布 + 延迟和),用于 7d/15d/30d 窗口的可用率
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// 加权计算(avg_latency = sum_latency_ms / count_latency;availability = ok_count / total_checks)。
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2026-04-21 10:45:30 +08:00
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// 超过保留期由每日维护任务分批物理删(不用软删除,理由同 channel_monitor_history)。
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2026-04-21 10:10:56 +08:00
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type ChannelMonitorDailyRollup struct {
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ent.Schema
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}
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func (ChannelMonitorDailyRollup) Annotations() []schema.Annotation {
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return []schema.Annotation{
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entsql.Annotation{Table: "channel_monitor_daily_rollups"},
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}
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}
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func (ChannelMonitorDailyRollup) Fields() []ent.Field {
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return []ent.Field{
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field.Int64("monitor_id"),
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field.String("model").
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NotEmpty().
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MaxLen(200),
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field.Time("bucket_date").
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SchemaType(map[string]string{dialect.Postgres: "date"}),
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field.Int("total_checks").Default(0),
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field.Int("ok_count").Default(0),
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field.Int("operational_count").Default(0),
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field.Int("degraded_count").Default(0),
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field.Int("failed_count").Default(0),
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field.Int("error_count").Default(0),
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field.Int64("sum_latency_ms").Default(0),
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field.Int("count_latency").Default(0),
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field.Int64("sum_ping_latency_ms").Default(0),
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field.Int("count_ping_latency").Default(0),
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field.Time("computed_at").Default(time.Now).UpdateDefault(time.Now),
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}
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}
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func (ChannelMonitorDailyRollup) Edges() []ent.Edge {
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return []ent.Edge{
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edge.From("monitor", ChannelMonitor.Type).
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Ref("daily_rollups").
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Field("monitor_id").
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Unique().
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Required(),
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}
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}
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func (ChannelMonitorDailyRollup) Indexes() []ent.Index {
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return []ent.Index{
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index.Fields("monitor_id", "model", "bucket_date").Unique(),
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index.Fields("bucket_date"),
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}
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}
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