feat(dashboard): 首页请求趋势拆分状态码并合并容量到业务流量

- 24 小时请求趋势拆分展示请求总量与 200/400/500 状态码请求量，独占一行；
  时间桶聚合新增 status_200/400/500_count（CH countIf、PG FILTER），
  请求趋势改为基于原始桶聚合（小时 rollup 无状态码口径）
- 首页移除宿主机磁盘指标，容量趋势（CPU/内存）并入业务流量卡片展示
- 压缩协议 traffic_24h 扩展为 7 元组，前端归一化同步更新

internal/apps/openflare/dashboard/logics.go

@@ -330,11 +330,15 @@ func compressDistributionItems(items []observability.DistributionItem) [][]any {
 func compressTrafficTrendPoints(points []observability.TrafficTrendPoint) [][]any {
 	rows := make([][]any, 0, len(points))
 	for _, point := range points {
+		// Compact layout: [0] bucket, [1] request, [2] error, [3] uv, [4] 2xx, [5] 4xx, [6] 5xx
 		rows = append(rows, []any{
 			point.BucketStartedAt,
 			point.RequestCount,
 			point.ErrorCount,
 			point.UniqueVisitorCount,
+			point.Status2xxCount,
+			point.Status4xxCount,
+			point.Status5xxCount,
 		})
 	}
 	return rows

internal/apps/openflare/dashboard/logics_test.go

@@ -143,7 +143,7 @@ func TestGetOverviewStructure(t *testing.T) {
 	require.Len(t, overview.Trends.Network24h, 24)
 	require.Len(t, overview.Trends.DiskIO24h, 24)
 	for _, row := range overview.Trends.Traffic24h {
-		require.Len(t, row, 4)
+		require.Len(t, row, 7)
 	}
 	for _, row := range overview.Trends.Capacity24h {
 		require.Len(t, row, 4)

internal/apps/openflare/observability/analytics.go

@@ -85,6 +85,9 @@ type TrafficTrendPoint struct {
 	RequestCount       int64     `json:"request_count"`
 	ErrorCount         int64     `json:"error_count"`
 	UniqueVisitorCount int64     `json:"unique_visitor_count"`
+	Status2xxCount     int64     `json:"status_2xx_count"`
+	Status4xxCount     int64     `json:"status_4xx_count"`
+	Status5xxCount     int64     `json:"status_5xx_count"`
 }
 
 // CapacityTrendPoint is a capacity trend bucket.
@@ -303,9 +306,10 @@ func BuildNodeTrends(
 	}
 }
 
-// BuildTrafficTrendPointsFromAccessLogs builds 24h request/error buckets from access logs.
-// Prefers of_access_log_hourly when available; falls back to raw bucket aggregates.
-// UniqueVisitorCount on hourly path is 0 (use TrafficSummary for exact UV).
+// BuildTrafficTrendPointsFromAccessLogs builds 24h request/error/status buckets from access logs.
+// Uses raw bucket aggregates: the hourly rollup (of_access_log_hourly) has no per-status counts,
+// and the 24h window on the dashboard is cached, so the raw scan is acceptable.
+// UniqueVisitorCount from buckets is exact (uniqExact on raw); TrafficSummary is used elsewhere for UV.
 func BuildTrafficTrendPointsFromAccessLogs(ctx context.Context, now time.Time, nodeID string, since time.Time) []TrafficTrendPoint {
 	start := trendWindowStart(now)
 	points := make([]TrafficTrendPoint, observabilityTrendBuckets)
@@ -313,22 +317,6 @@ func BuildTrafficTrendPointsFromAccessLogs(ctx context.Context, now time.Time, n
 		points[index].BucketStartedAt = start.Add(time.Duration(index) * time.Hour)
 	}
 
-	if hourly, err := repository.ListOpenFlareTrafficHourlySince(ctx, nodeID, since); err == nil && len(hourly) > 0 {
-		for _, row := range hourly {
-			if row == nil {
-				continue
-			}
-			index, ok := trendBucketIndex(row.Hour, start)
-			if !ok {
-				continue
-			}
-			points[index].RequestCount += row.RequestCount
-			points[index].ErrorCount += row.ErrorCount
-			// UniqueVisitorCount intentionally not summed from hourly rollup (always 0 / overcounts).
-		}
-		return points
-	}
-
 	buckets, err := repository.ListOpenFlareAccessLogBuckets(ctx, model.OpenFlareAccessLogBucketQuery{
 		NodeID:      nodeID,
 		Since:       since,
@@ -353,6 +341,9 @@ func BuildTrafficTrendPointsFromAccessLogs(ctx context.Context, now time.Time, n
 			points[index].RequestCount = row.RequestCount
 			points[index].ErrorCount = row.ServerErrorCount
 			points[index].UniqueVisitorCount = row.UniqueIPCount
+			points[index].Status2xxCount = row.Status2xxCount
+			points[index].Status4xxCount = row.Status4xxCount
+			points[index].Status5xxCount = row.Status5xxCount
 		}
 	}
 	return points