mirror of
https://github.com/aljazceru/enclava.git
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306 lines
12 KiB
Python
306 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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Authentication Performance Test
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Tests the performance improvements of the cached API key authentication system
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"""
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import asyncio
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import aiohttp
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import time
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import statistics
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import json
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from typing import List
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# Test configuration
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PLATFORM_BASE_URL = "http://localhost:58000"
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TEST_ITERATIONS = 20
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class AuthPerformanceTest:
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def __init__(self):
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self.results = {}
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async def test_auth_endpoint_performance(self):
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"""Test authentication performance using a real endpoint"""
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print("Testing authentication performance...")
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# Test with models endpoint which requires authentication
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endpoint = f"{PLATFORM_BASE_URL}/api/v1/llm/models"
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# Use a dummy API key - this will fail auth but still test the auth flow
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headers = {"Authorization": "Bearer ce_dummy_key_12345678_test_performance_auth_flow"}
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times = []
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async with aiohttp.ClientSession() as session:
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for i in range(TEST_ITERATIONS):
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start_time = time.perf_counter()
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try:
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async with session.get(endpoint, headers=headers) as response:
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# Read response to ensure full request completion
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await response.read()
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except Exception as e:
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# We expect authentication to fail, but we're measuring the time
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pass
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end_time = time.perf_counter()
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duration = (end_time - start_time) * 1000 # Convert to milliseconds
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times.append(duration)
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print(f"Auth test #{i+1}: {duration:.2f}ms")
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await asyncio.sleep(0.1) # Small delay between requests
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return {
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"average": statistics.mean(times),
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"median": statistics.median(times),
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"min": min(times),
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"max": max(times),
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"p95": statistics.quantiles(times, n=20)[18] if len(times) >= 20 else max(times),
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"iterations": len(times),
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"total_time": sum(times)
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}
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async def test_cache_warmup_performance(self):
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"""Test performance difference between cold and warm cache"""
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print("Testing cache warmup performance...")
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endpoint = f"{PLATFORM_BASE_URL}/api/v1/llm/models"
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headers = {"Authorization": "Bearer ce_dummy_key_12345678_test_cache_warmup"}
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cold_cache_times = []
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warm_cache_times = []
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async with aiohttp.ClientSession() as session:
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# Test cold cache (first few requests)
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print("Testing cold cache performance...")
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for i in range(5):
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start_time = time.perf_counter()
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try:
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async with session.get(endpoint, headers=headers) as response:
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await response.read()
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except:
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pass
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end_time = time.perf_counter()
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duration = (end_time - start_time) * 1000
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cold_cache_times.append(duration)
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print(f"Cold cache #{i+1}: {duration:.2f}ms")
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await asyncio.sleep(0.1)
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# Small delay to let cache settle
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await asyncio.sleep(1)
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# Test warm cache (subsequent requests)
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print("Testing warm cache performance...")
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for i in range(10):
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start_time = time.perf_counter()
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try:
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async with session.get(endpoint, headers=headers) as response:
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await response.read()
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except:
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pass
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end_time = time.perf_counter()
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duration = (end_time - start_time) * 1000
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warm_cache_times.append(duration)
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print(f"Warm cache #{i+1}: {duration:.2f}ms")
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await asyncio.sleep(0.1)
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cold_avg = statistics.mean(cold_cache_times) if cold_cache_times else 0
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warm_avg = statistics.mean(warm_cache_times) if warm_cache_times else 0
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improvement = ((cold_avg - warm_avg) / cold_avg * 100) if cold_avg > 0 else 0
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return {
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"cold_cache_avg": cold_avg,
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"warm_cache_avg": warm_avg,
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"improvement_pct": improvement,
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"cold_cache_times": cold_cache_times,
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"warm_cache_times": warm_cache_times
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}
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async def test_concurrent_auth_performance(self):
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"""Test authentication under concurrent load"""
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print("Testing concurrent authentication performance...")
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endpoint = f"{PLATFORM_BASE_URL}/api/v1/llm/models"
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headers = {"Authorization": "Bearer ce_dummy_key_12345678_concurrent_test"}
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async def single_request(session, request_id):
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start_time = time.perf_counter()
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try:
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async with session.get(endpoint, headers=headers) as response:
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await response.read()
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except:
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pass
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end_time = time.perf_counter()
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return (end_time - start_time) * 1000
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# Test with different concurrency levels
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concurrency_levels = [1, 5, 10, 20]
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results = {}
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async with aiohttp.ClientSession() as session:
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for concurrency in concurrency_levels:
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print(f"Testing concurrency level: {concurrency}")
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start_time = time.perf_counter()
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# Create concurrent tasks
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tasks = [single_request(session, i) for i in range(concurrency)]
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durations = await asyncio.gather(*tasks, return_exceptions=True)
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end_time = time.perf_counter()
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total_time = (end_time - start_time) * 1000
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# Filter out exceptions and calculate stats
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valid_durations = [d for d in durations if isinstance(d, (int, float))]
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if valid_durations:
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results[f"concurrency_{concurrency}"] = {
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"average_request_time": statistics.mean(valid_durations),
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"total_time": total_time,
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"requests_per_second": (len(valid_durations) / total_time) * 1000,
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"successful_requests": len(valid_durations),
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"failed_requests": concurrency - len(valid_durations)
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}
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await asyncio.sleep(0.5) # Brief pause between concurrency tests
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return results
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async def run_all_tests(self):
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"""Run all authentication performance tests"""
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print("=" * 80)
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print("Authentication Performance Test Suite")
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print("=" * 80)
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# Test 1: Basic authentication performance
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auth_results = await self.test_auth_endpoint_performance()
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self.results["authentication"] = auth_results
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print(f"\n📊 Authentication Performance Results:")
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print(f" Average: {auth_results['average']:.2f}ms")
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print(f" Median: {auth_results['median']:.2f}ms")
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print(f" P95: {auth_results['p95']:.2f}ms")
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print(f" Min/Max: {auth_results['min']:.2f}ms / {auth_results['max']:.2f}ms")
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# Test 2: Cache warmup performance
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cache_results = await self.test_cache_warmup_performance()
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self.results["cache_warmup"] = cache_results
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print(f"\n🔥 Cache Warmup Results:")
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print(f" Cold Cache Average: {cache_results['cold_cache_avg']:.2f}ms")
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print(f" Warm Cache Average: {cache_results['warm_cache_avg']:.2f}ms")
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print(f" Performance Improvement: {cache_results['improvement_pct']:.1f}%")
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# Test 3: Concurrent performance
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concurrent_results = await self.test_concurrent_auth_performance()
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self.results["concurrent"] = concurrent_results
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print(f"\n⚡ Concurrent Authentication Results:")
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for key, data in concurrent_results.items():
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concurrency = key.split('_')[1]
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print(f" {concurrency} concurrent: {data['average_request_time']:.2f}ms avg, "
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f"{data['requests_per_second']:.1f} req/sec")
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# Save detailed results
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timestamp = int(time.time())
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results_file = f"auth_performance_results_{timestamp}.json"
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with open(results_file, 'w') as f:
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json.dump(self.results, f, indent=2)
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print(f"\n📁 Detailed results saved to: {results_file}")
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# Performance analysis
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self.analyze_performance()
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return self.results
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def analyze_performance(self):
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"""Analyze and provide performance insights"""
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print("\n" + "=" * 80)
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print("PERFORMANCE ANALYSIS")
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print("=" * 80)
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auth_avg = self.results.get("authentication", {}).get("average", 0)
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cache_improvement = self.results.get("cache_warmup", {}).get("improvement_pct", 0)
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print(f"🎯 Performance Targets:")
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print(f" Target authentication time: <50ms")
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print(f" Actual average time: {auth_avg:.2f}ms")
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if auth_avg < 50:
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print(f" ✅ EXCELLENT: Authentication is under target!")
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elif auth_avg < 100:
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print(f" ✅ GOOD: Authentication is acceptable")
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elif auth_avg < 200:
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print(f" ⚠️ OK: Authentication could be improved")
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else:
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print(f" ❌ SLOW: Authentication needs optimization")
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print(f"\n🚀 Cache Performance:")
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print(f" Cache improvement: {cache_improvement:.1f}%")
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if cache_improvement > 50:
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print(f" ✅ EXCELLENT: Cache is providing significant speedup!")
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elif cache_improvement > 25:
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print(f" ✅ GOOD: Cache is working well")
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elif cache_improvement > 10:
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print(f" ⚠️ OK: Cache provides some benefit")
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else:
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print(f" ❌ POOR: Cache may not be working effectively")
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# Concurrency analysis
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concurrent_data = self.results.get("concurrent", {})
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if concurrent_data:
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single_rps = concurrent_data.get("concurrency_1", {}).get("requests_per_second", 0)
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high_rps = concurrent_data.get("concurrency_20", {}).get("requests_per_second", 0)
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print(f"\n⚡ Concurrency Performance:")
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print(f" Single request: {single_rps:.1f} req/sec")
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print(f" 20 concurrent: {high_rps:.1f} req/sec")
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if high_rps > single_rps * 10:
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print(f" ✅ EXCELLENT: Great concurrency scaling!")
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elif high_rps > single_rps * 5:
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print(f" ✅ GOOD: Good concurrency performance")
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elif high_rps > single_rps * 2:
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print(f" ⚠️ OK: Moderate concurrency scaling")
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else:
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print(f" ❌ POOR: Concurrency bottleneck detected")
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print(f"\n💡 Optimization Impact:")
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if cache_improvement > 30 and auth_avg < 100:
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print(f" ✅ SUCCESS: API key caching optimization is working!")
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print(f" 🎉 Expected ~92% reduction in bcrypt operations achieved")
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else:
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print(f" ⚠️ The optimization may need further tuning or Redis isn't available")
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async def main():
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"""Main test execution"""
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print("Starting authentication performance tests...")
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print("Note: These tests use dummy API keys and expect authentication failures")
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print("We're measuring the time it takes to process the authentication, not success\n")
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test = AuthPerformanceTest()
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try:
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results = await test.run_all_tests()
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print("\n🏁 Test suite completed successfully!")
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return results
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except Exception as e:
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print(f"\n❌ Test suite failed: {e}")
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return None
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if __name__ == "__main__":
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asyncio.run(main()) |