gns3-server/tests/stress/benchmark_running_server.py
2026-09-27 15:55:10 +03:00

297 lines
11 KiB
Python

#!/usr/bin/env python3
"""
Benchmark test for GET /projects performance on a running GNS3 server
This test connects to an already running GNS3 server and measures
the response time of the GET /projects endpoint.
"""
import asyncio
import time
import argparse
import sys
import uuid
from pathlib import Path
import httpx
# Add parent directory to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
async def create_test_projects(base_url, headers, count, prefix="perf_test_project"):
"""Create specified number of test projects"""
print(f"Creating {count} test projects...")
async with httpx.AsyncClient() as client:
batch_size = 50
for batch_start in range(0, count, batch_size):
batch_end = min(batch_start + batch_size, count)
batch_tasks = []
for i in range(batch_start, batch_end):
name = f"{prefix}_{i}_{uuid.uuid4().hex[:8]}"
task = client.post(f"{base_url}/projects", headers=headers, json={"name": name})
batch_tasks.append(task)
results = await asyncio.gather(*batch_tasks, return_exceptions=True)
for i, result in enumerate(results, batch_start):
if hasattr(result, "status_code"):
if result.status_code == 201:
print(f" Created project {i + 1}/{count}")
else:
print(f" Failed to create project {i + 1}: {result.status_code}")
else:
print(f" Error creating project {i + 1}: {result}")
async def cleanup_test_projects(base_url, headers, prefix="perf_test_project"):
"""Clean up test projects"""
print("Cleaning up test projects...")
cleanup_start = time.time()
try:
async with httpx.AsyncClient(timeout=60.0) as client:
response = await client.get(f"{base_url}/projects", headers=headers)
if response.status_code == 200:
projects = response.json()
test_projects = [p for p in projects if p.get("name", "").startswith(prefix)]
print(f" Found {len(test_projects)} test projects to delete")
batch_size = 50
total_deleted = 0
for batch_start in range(0, len(test_projects), batch_size):
batch_end = min(batch_start + batch_size, len(test_projects))
batch_tasks = []
for project in test_projects[batch_start:batch_end]:
task = client.delete(f"{base_url}/projects/{project['project_id']}", headers=headers)
batch_tasks.append(task)
results = await asyncio.gather(*batch_tasks, return_exceptions=True)
for i, result in enumerate(results, batch_start):
project = test_projects[i]
if hasattr(result, "status_code") and result.status_code == 204:
total_deleted += 1
elapsed = time.time() - cleanup_start
print(f" Deleted {total_deleted} projects in {elapsed:.1f}s ({total_deleted / elapsed:.0f} projects/sec)")
except Exception as e:
print(f"Error during cleanup: {type(e).__name__}: {e}")
async def benchmark_get_projects(base_url, headers, project_count, iterations=10, prefix="perf_test_project"):
"""Benchmark GET /projects endpoint"""
print(f"\n{'=' * 60}")
print(f"GET /projects Performance Benchmark")
print(f"{'=' * 60}")
print(f"Server: {base_url}")
print(f"{'=' * 60}\n")
if project_count > 0:
await create_test_projects(base_url, headers, project_count, prefix)
# Warm-up run
print("Performing warm-up run...")
try:
async with httpx.AsyncClient(timeout=120.0) as client:
response = await client.get(f"{base_url}/projects", headers=headers)
print(f" Response status: {response.status_code}")
if response.status_code != 200:
print(f"Error during warm-up: HTTP {response.status_code}")
print(f"Response text: {response.text[:200]}")
return
actual_count = len(response.json())
print(f" Warm-up successful: {actual_count} projects")
except Exception as e:
print(f"Error during warm-up: {type(e).__name__}: {e}")
return
# Benchmark runs
response_times = []
project_counts = []
print(f"\nRunning {iterations} benchmark iterations...")
async with httpx.AsyncClient(timeout=120.0) as client:
for i in range(iterations):
start_time = time.time()
try:
response = await client.get(f"{base_url}/projects", headers=headers)
end_time = time.time()
if response.status_code == 200:
elapsed_ms = (end_time - start_time) * 1000
projects = response.json()
response_times.append(elapsed_ms)
project_counts.append(len(projects))
print(f" Iteration {i + 1}: {elapsed_ms:.2f}ms ({len(projects)} projects)")
else:
print(f" Iteration {i + 1}: ERROR {response.status_code}")
except Exception as e:
print(f" Iteration {i + 1}: Exception - {type(e).__name__}: {str(e)}")
# Cleanup test projects
if project_count > 0:
await cleanup_test_projects(base_url, headers, prefix)
# Calculate statistics
if response_times:
avg_time = sum(response_times) / len(response_times)
min_time = min(response_times)
max_time = max(response_times)
median_time = sorted(response_times)[len(response_times) // 2]
avg_project_count = sum(project_counts) / len(project_counts) if project_counts else 0
print(f"\n{'=' * 60}")
if project_count > 0:
print(f"Results for {project_count} projects (created specifically):")
else:
print(f"Results for existing projects (~{avg_project_count:.0f} per request):")
print(f"{'=' * 60}")
print(f"Average: {avg_time:.2f}ms")
print(f"Median: {median_time:.2f}ms")
print(f"Min: {min_time:.2f}ms")
print(f"Max: {max_time:.2f}ms")
print(f"{'=' * 60}")
# Performance assessment
if avg_time < 100:
status = "EXCELLENT"
elif avg_time < 500:
status = "ACCEPTABLE"
elif avg_time < 2000:
status = "SLOW"
else:
status = "CRITICAL"
print(f"Status: {status}")
# Throughput: projects returned per second
if project_counts and sum(response_times) > 0:
total_projects = sum(project_counts)
total_seconds = sum(response_times) / 1000
projects_per_second = total_projects / total_seconds
print(f"Throughput: {projects_per_second:.1f} projects/sec")
print(f"{'=' * 60}\n")
return {
"project_count": project_count,
"avg_time_ms": avg_time,
"median_time_ms": median_time,
"min_time_ms": min_time,
"max_time_ms": max_time,
"projects_per_second": projects_per_second if project_counts and sum(response_times) > 0 else 0,
}
async def main():
parser = argparse.ArgumentParser(description="Benchmark GET /projects performance on running server")
parser.add_argument("--host", type=str, default="127.0.0.1", help="GNS3 server host")
parser.add_argument("--port", type=int, default=3080, help="GNS3 server port")
parser.add_argument("--username", type=str, required=True, help="Username for authentication")
parser.add_argument("--password", type=str, required=True, help="Password for authentication")
parser.add_argument(
"--project-counts",
type=int,
nargs="+",
default=[10, 50, 100],
help="Numbers of projects to test (default: 10 50 100)",
)
parser.add_argument("--iterations", type=int, default=10, help="Number of iterations per test (default: 10)")
parser.add_argument("--full-scale", action="store_true", help="Run full scale test: 10, 50, 100, 200, 500 projects")
parser.add_argument(
"--no-cleanup", action="store_true", help="Do not create/cleanup test projects (use existing projects)"
)
parser.add_argument(
"--prefix",
type=str,
default="perf_test_project",
help="Project name prefix for test/cleanup (default: perf_test_project)",
)
parser.add_argument("--cleanup-only", action="store_true", help="Only clean up test projects, do not run benchmark")
args = parser.parse_args()
base_url = f"http://{args.host}:{args.port}/v3"
# Login to get JWT token
print(f"Connecting to {base_url}")
print(f"Authenticating as {args.username}...")
try:
async with httpx.AsyncClient() as client:
login_response = await client.post(
f"{base_url}/access/users/login", data={"username": args.username, "password": args.password}
)
if login_response.status_code != 200:
print(f"Login failed: {login_response.status_code}")
print(f"Response: {login_response.text}")
sys.exit(1)
token_data = login_response.json()
access_token = token_data.get("access_token")
headers = {"Authorization": f"Bearer {access_token}"}
print("Authentication successful")
except Exception as e:
print(f"Error connecting to server: {e}")
print("Make sure GNS3 server is running and accessible")
sys.exit(1)
# Determine test scope
if args.full_scale:
project_counts = [10, 50, 100, 200, 500]
else:
project_counts = args.project_counts
# If cleanup-only flag, just clean up and exit
if args.cleanup_only:
await cleanup_test_projects(base_url, headers, args.prefix)
return
# If no-cleanup flag, test with existing projects as-is
if args.no_cleanup:
project_counts = [0]
args.iterations = 20
results = []
for count in project_counts:
try:
result = await benchmark_get_projects(base_url, headers, count, args.iterations, args.prefix)
if result:
results.append(result)
except Exception as e:
print(f"Error testing {count} projects: {e}")
# Summary
if len(results) > 1:
print(f"\n{'=' * 60}")
print("Summary - Performance Scaling")
print(f"{'=' * 60}")
print(f"{'Projects':<12} {'Avg (ms)':<12} {'Status':<12}")
print(f"{'-' * 40}")
for r in results:
avg = r["avg_time_ms"]
if avg < 100:
status = "EXCELLENT"
elif avg < 500:
status = "ACCEPTABLE"
elif avg < 2000:
status = "SLOW"
else:
status = "CRITICAL"
print(f"{r['project_count']:<12} {avg:<12.2f} {status:<12}")
print(f"{'=' * 60}\n")
if __name__ == "__main__":
asyncio.run(main())