服务器测试源码是什么？

“服务器测试源码”是一个比较宽泛的概念，根据测试目的和服务器类型的不同，源码内容会有很大差异，以下是几种常见的服务器测试源码类型和示例：

1. Web服务器API测试

使用requests库测试REST API
import requests
import unittest
class TestWebServer(unittest.TestCase):
    BASE_URL = "http://localhost:8080/api"
    
    def test_get_users(self):
        response = requests.get(f"{self.BASE_URL}/users")
        self.assertEqual(response.status_code, 200)
        self.assertIsInstance(response.json(), list)
    
    def test_create_user(self):
        user_data = {"name": "test", "email": "test@example.com"}
        response = requests.post(f"{self.BASE_URL}/users", json=user_data)
        self.assertEqual(response.status_code, 201)

2. Socket服务器测试

TCP服务器测试
import socket
import threading
import time
def test_socket_server():
    # 模拟客户端连接
    client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    client.connect(('localhost', 8888))
    
    # 发送测试数据
    client.send(b"Hello Server")
    response = client.recv(1024)
    
    print(f"Server response: {response.decode()}")
    client.close()

3. 负载测试

使用locust进行压力测试
from locust import HttpUser, task, between
class ServerLoadTest(HttpUser):
    wait_time = between(1, 5)
    
    @task
    def test_homepage(self):
        self.client.get("/")
    
    @task(3)
    def test_api_endpoints(self):
        self.client.get("/api/data")
        self.client.post("/api/submit", json={"data": "test"})

4. 数据库服务器测试

MySQL服务器连接测试
import mysql.connector
import pytest
def test_database_connection():
    try:
        conn = mysql.connector.connect(
            host="localhost",
            user="test",
            password="password",
            database="test_db"
        )
        cursor = conn.cursor()
        cursor.execute("SELECT 1")
        result = cursor.fetchone()
        assert result[0] == 1
    except Exception as e:
        pytest.fail(f"Database connection failed: {e}")

5. 完整的测试框架示例

综合测试套件
import pytest
import requests
import json
class TestServer:
    @pytest.fixture
    def base_url(self):
        return "http://localhost:3000"
    
    def test_server_health(self, base_url):
        response = requests.get(f"{base_url}/health")
        assert response.status_code == 200
        assert response.json()["status"] == "ok"
    
    def test_response_time(self, base_url):
        import time
        start_time = time.time()
        response = requests.get(f"{base_url}/api/data")
        end_time = time.time()
        
        assert response.status_code == 200
        assert (end_time - start_time) < 2.0  # 响应时间小于2秒
    
    def test_concurrent_requests(self, base_url):
        from concurrent.futures import ThreadPoolExecutor
        import threading
        
        results = []
        lock = threading.Lock()
        
        def make_request(i):
            try:
                response = requests.get(f"{base_url}/api/item/{i}")
                with lock:
                    results.append(response.status_code)
            except Exception as e:
                with lock:
                    results.append(str(e))
        
        with ThreadPoolExecutor(max_workers=10) as executor:
            for i in range(10):
                executor.submit(make_request, i)
        
        success_count = sum(1 for r in results if r == 200)
        assert success_count >= 8  # 80%成功率

6. Docker化的测试环境

Dockerfile for test environment
FROM python:3.9
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY test_server.py .
COPY wait-for-it.sh .
CMD ["python", "test_server.py"]

您具体需要哪种类型的服务器测试源码呢？我可以提供更针对性的示例。

文章摘自：https://idc.huochengrm.cn/js/17877.html