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"""
Performance monitoring script for the CVE RAG System
"""
import time
import asyncio
import aiohttp
import json
import logging
from typing import Dict, List
from datetime import datetime
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class PerformanceMonitor:
"""Monitor API performance and response times"""
def __init__(self, api_url: str = "http://localhost:8000"):
self.api_url = api_url
self.session = None
async def _get_session(self):
"""Get or create aiohttp session"""
if self.session is None or self.session.closed:
timeout = aiohttp.ClientTimeout(total=60)
self.session = aiohttp.ClientSession(timeout=timeout)
return self.session
async def test_query_performance(self, query: str, use_large_model: bool = False) -> Dict:
"""Test query performance and return metrics"""
start_time = time.time()
try:
session = await self._get_session()
payload = {
"query": query,
"top_k": 10,
"max_context_docs": 5,
"use_large_model": use_large_model
}
async with session.post(f"{self.api_url}/api/v1/query", json=payload) as response:
end_time = time.time()
response_time = end_time - start_time
if response.status == 200:
data = await response.json()
return {
"status": "success",
"response_time": response_time,
"query": query,
"model_used": data.get('model_used', 'unknown'),
"processing_time": data.get('processing_time', 0),
"results_count": len(data.get('search_results', [])),
"response_length": len(data.get('response', ''))
}
else:
error_text = await response.text()
return {
"status": "error",
"response_time": response_time,
"query": query,
"error": f"{response.status}: {error_text}"
}
except Exception as e:
end_time = time.time()
return {
"status": "error",
"response_time": end_time - start_time,
"query": query,
"error": str(e)
}
async def test_search_performance(self, query: str) -> Dict:
"""Test search-only performance"""
start_time = time.time()
try:
session = await self._get_session()
payload = {
"query": query,
"top_k": 10
}
async with session.post(f"{self.api_url}/api/v1/search", json=payload) as response:
end_time = time.time()
response_time = end_time - start_time
if response.status == 200:
data = await response.json()
return {
"status": "success",
"response_time": response_time,
"query": query,
"results_count": len(data)
}
else:
error_text = await response.text()
return {
"status": "error",
"response_time": response_time,
"query": query,
"error": f"{response.status}: {error_text}"
}
except Exception as e:
end_time = time.time()
return {
"status": "error",
"response_time": end_time - start_time,
"query": query,
"error": str(e)
}
async def test_health_check(self) -> Dict:
"""Test health check endpoint"""
start_time = time.time()
try:
session = await self._get_session()
async with session.get(f"{self.api_url}/api/v1/health") as response:
end_time = time.time()
response_time = end_time - start_time
if response.status == 200:
data = await response.json()
return {
"status": "success",
"response_time": response_time,
"health_status": data.get('status'),
"gpu_available": data.get('gpu_available'),
"vector_db_documents": data.get('vector_db_documents'),
"model_loaded": data.get('model_loaded')
}
else:
error_text = await response.text()
return {
"status": "error",
"response_time": response_time,
"error": f"{response.status}: {error_text}"
}
except Exception as e:
end_time = time.time()
return {
"status": "error",
"response_time": end_time - start_time,
"error": str(e)
}
async def run_performance_tests(self) -> Dict:
"""Run comprehensive performance tests"""
logger.info("Starting performance tests...")
# Test queries
test_queries = [
"What is CVE-2021-44228?",
"Show me Microsoft vulnerabilities",
"Find SQL injection vulnerabilities",
"What are critical vulnerabilities from 2024?",
"Summarize 5G related vulnerabilities"
]
results = {
"timestamp": datetime.now().isoformat(),
"health_check": await self.test_health_check(),
"search_tests": [],
"query_tests": []
}
# Test search performance
logger.info("Testing search performance...")
for query in test_queries:
result = await self.test_search_performance(query)
results["search_tests"].append(result)
await asyncio.sleep(1) # Rate limiting
# Test full query performance
logger.info("Testing full query performance...")
for query in test_queries:
result = await self.test_query_performance(query, use_large_model=False)
results["query_tests"].append(result)
await asyncio.sleep(2) # Rate limiting
# Calculate statistics
search_times = [r["response_time"] for r in results["search_tests"] if r["status"] == "success"]
query_times = [r["response_time"] for r in results["query_tests"] if r["status"] == "success"]
if search_times:
results["search_stats"] = {
"avg_response_time": sum(search_times) / len(search_times),
"min_response_time": min(search_times),
"max_response_time": max(search_times),
"success_rate": len(search_times) / len(results["search_tests"])
}
if query_times:
results["query_stats"] = {
"avg_response_time": sum(query_times) / len(query_times),
"min_response_time": min(query_times),
"max_response_time": max(query_times),
"success_rate": len(query_times) / len(results["query_tests"])
}
return results
async def close(self):
"""Close the session"""
if self.session and not self.session.closed:
await self.session.close()
def main():
"""Main function"""
async def run_tests():
monitor = PerformanceMonitor()
try:
results = await monitor.run_performance_tests()
# Print results
print("\n" + "="*60)
print("CVE RAG SYSTEM PERFORMANCE REPORT")
print("="*60)
print(f"Timestamp: {results['timestamp']}")
# Health check
health = results["health_check"]
print(f"\nHealth Check: {health['status']}")
if health['status'] == 'success':
print(f" Response Time: {health['response_time']:.2f}s")
print(f" System Status: {health['health_status']}")
print(f" GPU Available: {health['gpu_available']}")
print(f" Vector DB Documents: {health['vector_db_documents']}")
print(f" Model Loaded: {health['model_loaded']}")
# Search performance
if "search_stats" in results:
stats = results["search_stats"]
print(f"\nSearch Performance:")
print(f" Average Response Time: {stats['avg_response_time']:.2f}s")
print(f" Min Response Time: {stats['min_response_time']:.2f}s")
print(f" Max Response Time: {stats['max_response_time']:.2f}s")
print(f" Success Rate: {stats['success_rate']:.1%}")
# Query performance
if "query_stats" in results:
stats = results["query_stats"]
print(f"\nFull Query Performance:")
print(f" Average Response Time: {stats['avg_response_time']:.2f}s")
print(f" Min Response Time: {stats['min_response_time']:.2f}s")
print(f" Max Response Time: {stats['max_response_time']:.2f}s")
print(f" Success Rate: {stats['success_rate']:.1%}")
# Detailed results
print(f"\nDetailed Results:")
for i, result in enumerate(results["query_tests"]):
status = "SUCCESS" if result["status"] == "success" else "ERROR"
print(f" [{status}] {result['query']}: {result['response_time']:.2f}s")
if result["status"] == "error":
print(f" Error: {result['error']}")
# Save results to file
with open("performance_report.json", "w") as f:
json.dump(results, f, indent=2)
print(f"\nDetailed report saved to: performance_report.json")
finally:
await monitor.close()
asyncio.run(run_tests())
if __name__ == "__main__":
main() |