File size: 10,792 Bytes
94cb318 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 | """Real load test - no mocks, actual ASGI calls, real measured latency."""
from __future__ import annotations
import asyncio
import json
import random
import statistics
import sys
import time
import uuid
from pathlib import Path
# Ensure backend/ is on the import path
_BACKEND = Path(__file__).resolve().parent.parent / "backend"
sys.path.insert(0, str(_BACKEND))
import httpx
BANK_IDS = ["bank_alpha", "bank_beta", "bank_gamma"]
MERCHANT_IDS = [
"merchant_grocery",
"merchant_crypto_exchange",
"merchant_wire_transfer",
"merchant_gambling",
"merchant_electronics",
"merchant_jewelry",
]
CURRENCIES = ["EUR", "USD", "GBP"]
COUNTRIES = ["DE", "FR", "US", "GB", "TR", "NL"]
def _score_payload() -> dict:
return {
"transaction_id": f"tx_{uuid.uuid4().hex[:12]}",
"account_id": f"acc_{random.randint(1, 10000)}",
"amount": round(random.uniform(5.0, 75000.0), 2),
"currency": random.choice(CURRENCIES),
"merchant_id": random.choice(MERCHANT_IDS),
"country": random.choice(COUNTRIES),
"device_id": f"dev_{uuid.uuid4().hex[:8]}",
}
def _predict_payload() -> dict:
return {
"transaction_amount": round(random.uniform(5.0, 50000.0), 2),
"merchant_category": random.choice(
["grocery", "electronics", "crypto", "travel", "dining", "wire_transfer"]
),
"country_code": random.choice(COUNTRIES),
"device_type": random.choice(["web_browser", "mobile_app", "pos_terminal"]),
"velocity": round(random.uniform(0.5, 10.0), 1),
"hour_of_day": random.randint(0, 23),
"merchant_risk_score": round(random.uniform(0.01, 0.50), 2),
"customer_history_score": round(random.uniform(0.70, 0.99), 2),
"chargeback_count": random.randint(0, 2),
"account_age_days": random.randint(30, 1500),
"bank_id": random.choice(BANK_IDS),
}
async def run_realtime_benchmark(
n_requests: int = 500,
concurrency: int = 20,
sla_ms: float = 100.0,
) -> dict:
from app.main import app
transport = httpx.ASGITransport(app=app)
latencies_score: list[float] = []
latencies_predict: list[float] = []
latencies_jit: list[float] = []
errors = 0
async with httpx.AsyncClient(
transport=transport, base_url="http://testserver", timeout=15.0
) as client:
# ── Warm-up ────────────────────────────────────────────────
print("[WARM-UP] 15 requests to prime JIT model and middleware...", flush=True)
for bank_id in BANK_IDS:
for _ in range(5):
try:
await client.post(
"/api/v1/transactions/score",
json=_score_payload(),
headers={"X-Tenant-ID": bank_id, "X-Bank-ID": bank_id},
)
await client.post(
"/api/v1/predict",
json=_predict_payload(),
headers={"X-Tenant-ID": bank_id, "X-Bank-ID": bank_id},
)
except Exception:
pass
print("[WARM-UP] Complete.\n", flush=True)
sem = asyncio.Semaphore(concurrency)
async def one_request(i: int, endpoint: str, payload_fn):
nonlocal errors
bank_id = random.choice(BANK_IDS)
async with sem:
t0 = time.perf_counter()
try:
resp = await client.post(
endpoint,
json=payload_fn(),
headers={
"X-Tenant-ID": bank_id,
"X-Bank-ID": bank_id,
"X-Forwarded-For": f"10.{i % 256}.{(i // 256) % 256}.1",
},
)
elapsed = (time.perf_counter() - t0) * 1000.0
if resp.status_code in (200, 429):
return elapsed
errors += 1
return (time.perf_counter() - t0) * 1000.0
except Exception:
errors += 1
return None
# ── Phase 1: /api/v1/transactions/score ────────────────────
print(f"[PHASE 1/3] /api/v1/transactions/score — {n_requests} req @ {concurrency} concurrency", flush=True)
t0 = time.perf_counter()
results = await asyncio.gather(
*[one_request(i, "/api/v1/transactions/score", _score_payload) for i in range(n_requests)]
)
dur1 = time.perf_counter() - t0
latencies_score = [r for r in results if r is not None]
print(f" Done in {dur1:.2f}s ({n_requests/dur1:.0f} req/s)", flush=True)
# ── Phase 2: /api/v1/predict ────────────────────────────────
print(f"[PHASE 2/3] /api/v1/predict — {n_requests} req @ {concurrency} concurrency", flush=True)
t0 = time.perf_counter()
results2 = await asyncio.gather(
*[one_request(i, "/api/v1/predict", _predict_payload) for i in range(n_requests)]
)
dur2 = time.perf_counter() - t0
latencies_predict = [r for r in results2 if r is not None]
print(f" Done in {dur2:.2f}s ({n_requests/dur2:.0f} req/s)", flush=True)
# ── Phase 3: /v1/inference/score ────────────────────────────
def _jit_payload():
return {
"transaction_id": f"tx_{uuid.uuid4().hex[:12]}",
"amount": round(random.uniform(10.0, 100000.0), 2),
"currency": random.choice(CURRENCIES),
"source_account": f"acc_{random.randint(1, 9999)}",
"target_account": f"acc_{random.randint(10000, 99999)}",
"merchant_category": random.choice(
["general_retail", "crypto_exchange", "gambling", "grocery"]
),
"velocity_1h": random.randint(1, 15),
}
print(f"[PHASE 3/3] /v1/inference/score (JIT) — {n_requests} req @ {concurrency} concurrency", flush=True)
t0 = time.perf_counter()
results3 = await asyncio.gather(
*[one_request(i, "/v1/inference/score", _jit_payload) for i in range(n_requests)]
)
dur3 = time.perf_counter() - t0
latencies_jit = [r for r in results3 if r is not None]
print(f" Done in {dur3:.2f}s ({n_requests/dur3:.0f} req/s)", flush=True)
def stats(lats: list[float], dur: float) -> dict:
if not lats:
return {}
s = sorted(lats)
n = len(s)
pct = lambda p: round(s[min(int(p * n), n - 1)], 2) # noqa: E731
within_sla = sum(1 for lat in lats if lat <= sla_ms)
return {
"n_successful": n,
"throughput_rps": round(n_requests / dur, 1),
"min_ms": pct(0),
"p50_ms": pct(0.50),
"mean_ms": round(statistics.mean(lats), 2),
"p90_ms": pct(0.90),
"p95_ms": pct(0.95),
"p99_ms": pct(0.99),
"max_ms": pct(1.0),
"stdev_ms": round(statistics.stdev(lats), 2) if len(lats) > 1 else 0.0,
"sla_compliance_pct": round(within_sla / n * 100, 2),
"sla_threshold_ms": sla_ms,
"sla_pass": pct(0.99) <= sla_ms,
}
report = {
"run_ts": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
"config": {
"n_requests_per_endpoint": n_requests,
"concurrency": concurrency,
"sla_threshold_ms": sla_ms,
"total_errors": errors,
},
"endpoints": {
"score_transaction (/api/v1/transactions/score)": stats(latencies_score, dur1),
"predict_transaction (/api/v1/predict)": stats(latencies_predict, dur2),
"jit_inference (/v1/inference/score)": stats(latencies_jit, dur3),
},
}
return report
def print_report(report: dict) -> None:
# Force UTF-8 output on Windows terminals
if hasattr(sys.stdout, "reconfigure"):
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
def _pr(line: str) -> None:
try:
print(line, flush=True)
except UnicodeEncodeError:
print(line.encode("ascii", "replace").decode("ascii"), flush=True)
_pr("\n" + "=" * 80)
_pr(" REAL-TIME INFERENCE BENCHMARK - LIVE RESULTS (no mocks)")
_pr(f" Run: {report['run_ts']} | Concurrency: {report['config']['concurrency']}")
_pr("=" * 80)
for ep, s in report["endpoints"].items():
if not s:
continue
badge = "[PASS]" if s["sla_pass"] else "[FAIL]"
_pr(f"\n {badge} {ep}")
_pr(f" Throughput : {s['throughput_rps']:>8.1f} req/s")
_pr(f" min : {s['min_ms']:>8.2f} ms")
_pr(f" p50 : {s['p50_ms']:>8.2f} ms")
_pr(f" p90 : {s['p90_ms']:>8.2f} ms")
_pr(f" p95 : {s['p95_ms']:>8.2f} ms")
_pr(f" p99 : {s['p99_ms']:>8.2f} ms <- SLA boundary")
_pr(f" max : {s['max_ms']:>8.2f} ms")
_pr(f" mean+-stdev: {s['mean_ms']:.2f} +- {s['stdev_ms']:.2f} ms")
_pr(f" SLA<{s['sla_threshold_ms']:.0f}ms : {s['sla_compliance_pct']:.1f}%")
_pr("\n" + "=" * 80)
total_reqs = report["config"]["n_requests_per_endpoint"] * 3
_pr(f" Total requests fired : {total_reqs} | Errors: {report['config']['total_errors']}")
_pr("=" * 80 + "\n")
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(
description="Real load test - no mocks, actual ASGI calls, real measured latency."
)
parser.add_argument("--requests", type=int, default=500)
parser.add_argument("--concurrency", type=int, default=20)
parser.add_argument("--sla", type=float, default=100.0)
parser.add_argument("--output", type=str, default="reports/realtime_benchmark.json")
args = parser.parse_args()
report = asyncio.run(
run_realtime_benchmark(
n_requests=args.requests,
concurrency=args.concurrency,
sla_ms=args.sla,
)
)
# Save JSON FIRST — before any print that might fail on encoding
out = Path(args.output)
out.parent.mkdir(parents=True, exist_ok=True)
out.write_text(json.dumps(report, indent=2), encoding="utf-8")
print_report(report)
print(f"[+] JSON results saved to {out}", flush=True)
|