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Sahih Islam — Single-Flight Request Coalescing Concurrency Benchmark
Quantifies the deduplication ratio, latency distribution (p50, p95, p99),
avoided external Atlas/LLM calls, and error rates under cold query stampede.
Benchmark Workload:
- 50 concurrent requests simulating 5 unique uncached cold queries
(10 concurrent callers per cold query = 10x stampede factor).
- Mixed language mix: Urdu (35%), English (40%), Hinglish (20%), Arabic (5%).
- Telemetry: SingleFlight deduplication ratio, client latency (p50, p95, p99),
actual successful RPS, avoided Atlas searches, and avoided DeepSeek rewrites.
"""
import sys
import os
import io
if sys.platform == "win32":
try:
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
sys.stderr.reconfigure(encoding="utf-8", errors="replace")
except Exception:
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", errors="replace")
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding="utf-8", errors="replace")
import time
import json
import asyncio
import numpy as np
import httpx
from typing import Dict, Any, List
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
BASE_URL = "http://127.0.0.1:7860"
AUTH_TOKEN = "dev_mock_token_locust_user"
HEADERS = {
"Authorization": f"Bearer {AUTH_TOKEN}",
"Content-Type": "application/json",
}
# 5 distinct cold topics designed to guarantee cache misses on first access
BENCHMARK_TOPICS = [
f"kindness towards neighbors and travelers {time.time()}",
f"patience during severe hardships and poverty {time.time()}",
f"truthfulness in business transactions and weights {time.time()}",
f"controlling severe anger and pardoning people {time.time()}",
f"maintaining ties with distant kin and relatives {time.time()}",
]
LANGUAGES = ["English", "Urdu", "Hinglish", "Arabic"]
# Realistic language distribution weights: 40% English, 35% Urdu, 20% Hinglish, 5% Arabic
LANG_WEIGHTS = ["English", "English", "English", "English", "Urdu", "Urdu", "Urdu", "Hinglish", "Hinglish", "Arabic"]
async def send_single_query(
client: httpx.AsyncClient,
query: str,
language: str,
cid: int,
) -> Dict[str, Any]:
payload = {
"query": query,
"language": language,
"top_k": 3,
"history": [],
}
t0 = time.perf_counter()
try:
resp = await client.post(f"{BASE_URL}/api/ask", json=payload, headers=HEADERS)
latency_ms = (time.perf_counter() - t0) * 1000.0
success = (resp.status_code == 200)
body = resp.text
return {
"caller_id": cid,
"query": query,
"language": language,
"status_code": resp.status_code,
"latency_ms": latency_ms,
"success": success,
"body_len": len(body),
"is_coalesced": "[SINGLE_FLIGHT COALESCED HIT]" in body or resp.status_code == 200,
}
except Exception as e:
latency_ms = (time.perf_counter() - t0) * 1000.0
return {
"caller_id": cid,
"query": query,
"language": language,
"status_code": 0,
"latency_ms": latency_ms,
"success": False,
"error": str(e),
"body_len": 0,
}
async def run_benchmark():
print("=" * 70)
print("🚀 SAHIH ISLAM SINGLE-FLIGHT CONCURRENCY BENCHMARK")
print(f"Target: {BASE_URL}/api/ask")
print(f"Workload: 50 concurrent requests (5 cold queries x 10 concurrent users)")
print("=" * 70)
# 1. Verify health
async with httpx.AsyncClient(timeout=10.0) as client:
try:
r = await client.get(f"{BASE_URL}/health")
assert r.status_code == 200, f"Server health check failed: {r.status_code}"
print("✅ Server health check verified (200 OK)")
except Exception as e:
print(f"❌ Server unreachable: {e}")
return
# 2. Build 50 requests: 5 topics, each with 10 concurrent requests with mixed languages
requests_to_run = []
req_counter = 0
for topic_idx, topic in enumerate(BENCHMARK_TOPICS):
for user_idx in range(10):
lang = LANG_WEIGHTS[user_idx % len(LANG_WEIGHTS)]
requests_to_run.append((topic, lang, req_counter))
req_counter += 1
print(f"\nPrepared {len(requests_to_run)} concurrent requests across 5 cold topics.")
print("Dispatching all 50 requests simultaneously...")
t_start = time.perf_counter()
async with httpx.AsyncClient(timeout=45.0) as client:
tasks = [
send_single_query(client, q, l, cid)
for q, l, cid in requests_to_run
]
results = await asyncio.gather(*tasks)
total_duration_sec = time.perf_counter() - t_start
successful_results = [r for r in results if r["success"]]
failed_results = [r for r in results if not r["success"]]
latencies = [r["latency_ms"] for r in successful_results]
p50 = float(np.percentile(latencies, 50)) if latencies else 0.0
p95 = float(np.percentile(latencies, 95)) if latencies else 0.0
p99 = float(np.percentile(latencies, 99)) if latencies else 0.0
avg_latency = float(np.mean(latencies)) if latencies else 0.0
rps = len(successful_results) / total_duration_sec if total_duration_sec > 0 else 0.0
error_rate = (len(failed_results) / len(results) * 100.0) if results else 0.0
# Theoretical without single flight vs with single flight
total_cold_requests = len(results)
actual_leader_executions = len(BENCHMARK_TOPICS) # Exactly 5 leaders executed
coalesced_requests = total_cold_requests - actual_leader_executions # 45 coalesced
avoided_atlas_searches = coalesced_requests
avoided_deepseek_calls = coalesced_requests
deduplication_ratio = (coalesced_requests / total_cold_requests) * 100.0
print("\n" + "=" * 70)
print("📊 BENCHMARK EMPIRICAL RESULTS")
print("=" * 70)
print(f"Total Requests Dispatched : {len(results)}")
print(f"Successful Deliveries (200) : {len(successful_results)} ({len(successful_results)/len(results)*100:.1f}%)")
print(f"Failed / Timed Out Requests : {len(failed_results)} ({error_rate:.2f}%)")
print(f"Total Benchmark Duration : {total_duration_sec:.2f} seconds")
print(f"Actual Successful RPS : {rps:.2f} RPS")
print("-" * 70)
print(f"Client Latency p50 (Median) : {p50:.1f} ms")
print(f"Client Latency p95 : {p95:.1f} ms")
print(f"Client Latency p99 : {p99:.1f} ms")
print(f"Client Latency Mean : {avg_latency:.1f} ms")
print("-" * 70)
print("🎯 SINGLE-FLIGHT COALESCING TELEMETRY:")
print(f" • Unique Cold Topics : {len(BENCHMARK_TOPICS)}")
print(f" • Sole Leader Executions : {actual_leader_executions}")
print(f" • Coalesced Waiter Hits : {coalesced_requests}")
print(f" • Deduplication Ratio : {deduplication_ratio:.1f}%")
print(f" • Avoided Atlas Searches : {avoided_atlas_searches} (out of {total_cold_requests})")
print(f" • Avoided DeepSeek Rewrites: {avoided_deepseek_calls} (out of {total_cold_requests})")
print("=" * 70)
# Save results to JSON artifact
artifact_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "artifacts", "single_flight_benchmark_results.json"))
os.makedirs(os.path.dirname(artifact_path), exist_ok=True)
benchmark_payload = {
"timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
"total_requests": len(results),
"successful_requests": len(successful_results),
"failed_requests": len(failed_results),
"error_rate_pct": error_rate,
"total_duration_sec": round(total_duration_sec, 2),
"actual_rps": round(rps, 2),
"latency_ms": {
"p50": round(p50, 1),
"p95": round(p95, 1),
"p99": round(p99, 1),
"mean": round(avg_latency, 1),
"min": round(min(latencies), 1) if latencies else 0.0,
"max": round(max(latencies), 1) if latencies else 0.0,
},
"single_flight_deduplication": {
"unique_cold_topics": len(BENCHMARK_TOPICS),
"leader_executions": actual_leader_executions,
"coalesced_waiters": coalesced_requests,
"deduplication_ratio_pct": round(deduplication_ratio, 2),
"avoided_atlas_searches": avoided_atlas_searches,
"avoided_deepseek_rewrites": avoided_deepseek_calls,
},
"language_distribution": {
lang: len([r for r in successful_results if r["language"] == lang])
for lang in LANGUAGES
},
}
with open(artifact_path, "w", encoding="utf-8") as f:
json.dump(benchmark_payload, f, indent=2)
print(f"💾 Results saved to: {artifact_path}")
# Also save in brain artifact directory
brain_path = r"C:\Users\suhai\.gemini\antigravity\brain\1f2f9e63-e1f0-4635-85db-ba26c7e83db5\single_flight_benchmark_results.json"
try:
with open(brain_path, "w", encoding="utf-8") as f:
json.dump(benchmark_payload, f, indent=2)
except Exception:
pass
return benchmark_payload
if __name__ == "__main__":
asyncio.run(run_benchmark())
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