graph_rag_server/scripts/benchmark_simple.py

#!/usr/bin/env python3
"""
简化版性能基准测试

模拟性能测试，用于验证测试框架本身。
实际性能测试需要运行应用服务器。
"""

import time
import statistics
from typing import List, Dict, Any
import json
from datetime import datetime


def simulate_api_call(endpoint: str, complexity: str = "simple") -> float:
    """模拟 API 调用，返回响应时间（秒）"""
    # 根据端点复杂度模拟不同的响应时间
    base_times = {
        "simple": 0.01,      # 10ms - 健康检查等
        "moderate": 0.05,    # 50ms - 简单查询
        "complex": 0.15,     # 150ms - 复杂搜索
        "heavy": 0.3         # 300ms - 大量计算
    }
    
    base_time = base_times.get(complexity, 0.05)
    # 添加一些随机变化（±20%）
    import random
    variation = random.uniform(0.8, 1.2)
    
    time.sleep(base_time * variation * 0.01)  # 实际只睡眠很短时间，用于模拟
    return base_time * variation


def benchmark_endpoint(endpoint: str, complexity: str, iterations: int = 100) -> Dict[str, Any]:
    """对端点进行基准测试"""
    response_times = []
    
    print(f"  测试 {endpoint} ({iterations} 次请求)...", end=" ")
    
    for _ in range(iterations):
        response_time = simulate_api_call(endpoint, complexity)
        response_times.append(response_time)
    
    # 计算统计数据
    stats = {
        "endpoint": endpoint,
        "requests": len(response_times),
        "response_time": {
            "min": min(response_times) * 1000,
            "max": max(response_times) * 1000,
            "mean": statistics.mean(response_times) * 1000,
            "median": statistics.median(response_times) * 1000,
            "p95": statistics.quantiles(response_times, n=20)[18] * 1000 if len(response_times) > 1 else response_times[0] * 1000,
            "p99": statistics.quantiles(response_times, n=100)[98] * 1000 if len(response_times) > 1 else response_times[0] * 1000,
        }
    }
    
    print("完成")
    return stats


def main():
    """主函数"""
    print("=" * 80)
    print("RAG 系统性能基准测试（模拟）")
    print("=" * 80)
    print(f"测试时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
    print("注意: 这是模拟测试，实际性能需要运行真实服务器测试")
    print("=" * 80)
    
    # 定义测试端点
    endpoints = [
        ("/health", "simple", 100),
        ("/metrics", "simple", 100),
        ("/api/v1/documents/", "moderate", 50),
        ("/api/v1/documents/search", "complex", 100),
        ("/api/v1/knowledge-bases/", "moderate", 100),
    ]
    
    results = []
    
    print("\n开始测试...\n")
    
    for endpoint, complexity, iterations in endpoints:
        stats = benchmark_endpoint(endpoint, complexity, iterations)
        results.append(stats)
    
    # 打印结果
    print("\n" + "=" * 80)
    print("测试结果")
    print("=" * 80)
    
    for stats in results:
        print(f"\n✓ {stats['endpoint']}")
        print(f"   请求数: {stats['requests']}")
        print(f"   响应时间 (ms):")
        print(f"     最小值: {stats['response_time']['min']:.2f}")
        print(f"     最大值: {stats['response_time']['max']:.2f}")
        print(f"     平均值: {stats['response_time']['mean']:.2f}")
        print(f"     中位数: {stats['response_time']['median']:.2f}")
        print(f"     P95: {stats['response_time']['p95']:.2f}")
        print(f"     P99: {stats['response_time']['p99']:.2f}")
    
    # 性能评估
    print("\n" + "=" * 80)
    print("性能评估（基于模拟数据）")
    print("=" * 80)
    
    for stats in results:
        mean_time = stats['response_time']['mean']
        endpoint = stats['endpoint']
        
        # 根据端点类型设置不同的阈值
        if endpoint in ["/health", "/metrics"]:
            threshold = 50
            target = "< 50ms"
        elif "search" in endpoint:
            threshold = 500
            target = "< 500ms"
        else:
            threshold = 200
            target = "< 200ms"
        
        status = "✓ 通过" if mean_time < threshold else "⚠️  需要优化"
        print(f"{endpoint}")
        print(f"  平均响应时间: {mean_time:.2f}ms (目标: {target}) - {status}")
    
    # 保存结果
    results_data = {
        "timestamp": datetime.now().isoformat(),
        "type": "simulated",
        "results": results
    }
    
    filename = "benchmark_results_simulated.json"
    with open(filename, 'w', encoding='utf-8') as f:
        json.dump(results_data, f, indent=2, ensure_ascii=False)
    
    print("\n" + "=" * 80)
    print(f"结果已保存到: {filename}")
    print("\n要运行真实的性能测试，请:")
    print("1. 启动应用: python main.py")
    print("2. 运行测试: python scripts/benchmark.py")
    print("=" * 80)


if __name__ == "__main__":
    main()