refactor(web): remove deprecated dashboard components and enhance KPI grid

- Deleted unused components: `DashboardActivityTimeline`, `DashboardFramePanel`, `DashboardModulesGrid`, `DashboardRecentJobsGrid`, and `DashboardRecentRevisionsGrid` to streamline the dashboard.
- Updated `DashboardKpiGrid` to improve KPI display logic, including progress indicators and enhanced badge functionality.
- Refactored `DashboardNetworkHealth` to provide better status representation based on loading states and network conditions.
- Introduced new properties for KPI cards to support progress tracking and improved visual feedback.

This cleanup aims to enhance performance and maintainability of the dashboard while providing a better user experience.

internal/pipeline/baseline_bench_test.go

@@ -0,0 +1,56 @@
+package pipeline
+
+import (
+	"fmt"
+	"math/rand"
+	"net/netip"
+	"testing"
+
+	"evobgp/internal/store"
+)
+
+// benchPrefixRows generates seed-stable pseudo-random prefixes for aggregation benchmarks.
+// v4 blocks are carved from TEST-NET-style ranges; v6 from 2001:db8::/32.
+func benchPrefixRows(n int, v6Share float64) []store.PrefixRow {
+	r := rand.New(rand.NewSource(42))
+	rows := make([]store.PrefixRow, 0, n)
+	seen := make(map[string]struct{}, n)
+	for len(rows) < n {
+		var pfx netip.Prefix
+		if r.Float64() < v6Share {
+			var a [16]byte
+			a[0], a[1] = 0x20, 0x01
+			a[2], a[3] = 0x0d, 0xb8
+			for i := 4; i < 10; i++ {
+				a[i] = byte(r.Intn(256))
+			}
+			addr := netip.AddrFrom16(a)
+			pfx = netip.PrefixFrom(addr, 48+r.Intn(17))
+		} else {
+			b := []byte{203, 0, 113, 0}
+			b[1] = byte(r.Intn(256))
+			b[2] = byte(r.Intn(256))
+			b[3] = byte(r.Intn(256))
+			addr := netip.AddrFrom4([4]byte{b[0], b[1], b[2], b[3]})
+			pfx = netip.PrefixFrom(addr, 16+r.Intn(9))
+		}
+		s := pfx.Masked().String()
+		if _, ok := seen[s]; ok {
+			continue
+		}
+		seen[s] = struct{}{}
+		rows = append(rows, store.PrefixRow{Prefix: s, Source: "ip_range"})
+	}
+	return rows
+}
+
+func BenchmarkSmartAggregatePrefixRows(b *testing.B) {
+	for _, n := range []int{1_000, 10_000, 50_000} {
+		rows := benchPrefixRows(n, 0.3)
+		b.Run(fmt.Sprintf("n=%d", n), func(b *testing.B) {
+			for i := 0; i < b.N; i++ {
+				_ = smartAggregatePrefixRows(rows)
+			}
+		})
+	}
+}