add ad blocking, live dashboard, system DNS auto-discovery
- DNS-level ad blocking: 385K+ domains via Hagezi Pro blocklist, subdomain matching, one-click allowlist, pause/toggle, background refresh every 24h - Live dashboard at :5380 with real-time stats, query log, override management (create/edit/delete), blocking controls - System DNS auto-discovery: parses scutil --dns on macOS to find conditional forwarding rules (Tailscale, VPN split-DNS) - REST API expanded to 18 endpoints (blocking, overrides, diagnostics) - Startup banner with colored system info - Performance benchmarks (bench/dns-bench.sh) - Landing page updated with new positioning and comparison table - CI, Dockerfile, LICENSE, development plan docs Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Razvan Dimescu
151
bench/dns-bench.sh
Executable file
151
bench/dns-bench.sh
Executable file
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#!/usr/bin/env python3
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"""DNS performance benchmark — compares Numa against public resolvers."""
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import subprocess
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import sys
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import re
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import statistics
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import json
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NUMA_PORT = int(sys.argv[1]) if len(sys.argv) > 1 else 15353
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ROUNDS = int(sys.argv[2]) if len(sys.argv) > 2 else 20
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DOMAINS = [
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"google.com", "github.com", "amazon.com", "cloudflare.com",
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"reddit.com", "stackoverflow.com", "rust-lang.org", "wikipedia.org",
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"netflix.com", "twitter.com",
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]
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RESOLVERS = [
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("Numa(cold)", "127.0.0.1", NUMA_PORT),
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("Numa(cached)", "127.0.0.1", NUMA_PORT),
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("System", "", 53),
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]
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# Detect system resolver
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try:
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out = subprocess.run(["scutil", "--dns"], capture_output=True, text=True)
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m = re.search(r"nameserver\[0\]\s*:\s*([\d.]+)", out.stdout)
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if m:
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RESOLVERS[2] = ("System", m.group(1), 53)
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except Exception:
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pass
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# Add public resolvers — skip if unreachable
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for name, ip in [("Google", "8.8.8.8"), ("Cloudflare", "1.1.1.1"), ("Quad9", "9.9.9.9")]:
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try:
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out = subprocess.run(
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["dig", f"@{ip}", "example.com", "+short", "+time=2", "+tries=1"],
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capture_output=True, text=True, timeout=4
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)
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if out.stdout.strip():
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RESOLVERS.append((name, ip, 53))
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except Exception:
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pass
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A = "\033[38;2;192;98;58m"
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T = "\033[38;2;107;124;78m"
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D = "\033[38;2;163;152;136m"
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B = "\033[1m"
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R = "\033[0m"
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def query_ms(server, port, domain):
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try:
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out = subprocess.run(
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["dig", f"@{server}", "-p", str(port), domain,
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"+noall", "+stats", "+tries=1", "+time=3"],
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capture_output=True, text=True, timeout=5
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)
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m = re.search(r"Query time:\s+(\d+)\s+msec", out.stdout)
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return int(m.group(1)) if m else None
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except Exception:
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return None
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def flush_cache(domain=None):
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try:
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url = f"http://localhost:5380/cache/{domain}" if domain else "http://localhost:5380/cache"
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subprocess.run(["curl", "-s", "-X", "DELETE", url],
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capture_output=True, timeout=3)
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except Exception:
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pass
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print()
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print(f"{A} ╔══════════════════════════════════════════════════════════╗{R}")
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print(f"{A} ║{R} {B}{A}NUMA{R} DNS Performance Benchmark {A}║{R}")
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print(f"{A} ╚══════════════════════════════════════════════════════════╝{R}")
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print()
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print(f"{D} Domains: {len(DOMAINS)} | Rounds: {ROUNDS} | Total: {len(DOMAINS) * ROUNDS} queries per resolver{R}")
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print()
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results = {}
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for name, server, port in RESOLVERS:
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print(f" {T}Testing{R} {B}{name}{R}...", end="", flush=True)
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if name == "Numa(cold)":
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flush_cache()
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latencies = []
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for r in range(ROUNDS):
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for domain in DOMAINS:
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if name == "Numa(cold)":
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flush_cache(domain)
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ms = query_ms(server, port, domain)
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if ms is not None:
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latencies.append(ms)
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if latencies:
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latencies.sort()
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n = len(latencies)
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results[name] = {
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"avg": round(statistics.mean(latencies), 1),
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"p50": latencies[n // 2],
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"p99": latencies[int(n * 0.99)],
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"min": min(latencies),
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"max": max(latencies),
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"count": n,
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}
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print(f" {D}done ({len(latencies)} queries){R}")
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print()
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print(f"{A} ┌──────────────┬────────┬────────┬────────┬────────┬────────┐{R}")
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print(f"{A} │{R} {B}Resolver{R} {A}│{R} {B}Avg{R} {A}│{R} {B}P50{R} {A}│{R} {B}P99{R} {A}│{R} {B}Min{R} {A}│{R} {B}Max{R} {A}│{R}")
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print(f"{A} ├──────────────┼────────┼────────┼────────┼────────┼────────┤{R}")
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for name, _, _ in RESOLVERS:
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if name not in results:
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continue
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r = results[name]
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if "cached" in name.lower():
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c = T
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elif "cold" in name.lower():
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c = A
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else:
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c = D
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print(f"{c} │ {name:<12s} │ {r['avg']:5.1f}ms │ {r['p50']:4d}ms │ {r['p99']:4d}ms │ {r['min']:4d}ms │ {r['max']:4d}ms │{R}")
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print(f"{A} └──────────────┴────────┴────────┴────────┴────────┴────────┘{R}")
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# Summary comparison
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cached = results.get("Numa(cached)", {})
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cold = results.get("Numa(cold)", {})
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print()
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if cached and cached["avg"] > 0:
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for name in [n for n, _, _ in RESOLVERS if n not in ("Numa(cold)", "Numa(cached)")]:
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other = results.get(name, {})
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if other and other["avg"] > 0:
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x = other["avg"] / max(cached["avg"], 0.1)
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print(f" {T}Numa cached is ~{x:.0f}x faster than {name} (avg){R}")
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if cold and cold["avg"] > 0:
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x = cold["avg"] / max(cached["avg"], 0.1)
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print(f" {T}Numa cached is ~{x:.0f}x faster than Numa cold (avg){R}")
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# Save raw results as JSON
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out_path = "bench/results.json"
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with open(out_path, "w") as f:
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json.dump(results, f, indent=2)
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print(f"\n {D}Raw results saved to {out_path}{R}")
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print()
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