1个Bug让500个用户同时掉线：SaaS多租户测试的致命陷阱_千锋教育

# 模拟多租户缓存读取
def get_tenant_data(tenant_id):
    cache_key = f"tenant:{tenant_id}:data"
    data = redis.get(cache_key)
    if not data:
        data = db.query("SELECT * FROM tenant_data WHERE tenant_id = %s", tenant_id)
        redis.setex(cache_key, 3600, data)
    return data

# 测试代码：验证不同租户的缓存不被混淆
def test_cache_isolation():
    tenant_a_data = {"name": "公会A", "progress": 50}
    tenant_b_data = {"name": "公会B", "progress": 30}
    # 写入缓存
    redis.set("tenant:1:data", tenant_a_data)
    redis.set("tenant:2:data", tenant_b_data)
    # 读取并验证
    assert get_tenant_data(1) == tenant_a_data
    assert get_tenant_data(2) == tenant_b_data
    # 关键：验证缓存键不冲突
    assert get_tenant_data(1) != tenant_b_data

# 模拟API路由中解析租户配置
def handle_request(request):
    tenant_id = request.headers.get("X-Tenant-ID")
    tenant_config = get_tenant_config(tenant_id)
    if tenant_config["voice_chat_enabled"]:
        return process_voice_chat(request)
    else:
        return {"error": "语音功能未启用"}, 403

# 测试代码：验证不同租户的API响应
def test_tenant_config_isolation():
    # 租户A：启用语音
    response_a = simulate_request(tenant_id=1, endpoint="/voice/start")
    assert response_a.status_code == 200
    # 租户B：禁用语音
    response_b = simulate_request(tenant_id=2, endpoint="/voice/start")
    assert response_b.status_code == 403
    # 关键：验证响应不混淆
    assert response_a != response_b

# 模拟数据库连接池按租户隔离
class TenantConnectionPool:
    def __init__(self, max_connections_per_tenant=10):
        self.pools = {}
        self.max_connections = max_connections_per_tenant
    
    def get_connection(self, tenant_id):
        if tenant_id not in self.pools:
            self.pools[tenant_id] = []
        if len(self.pools[tenant_id]) < self.max_connections:
            conn = create_db_connection()
            self.pools[tenant_id].append(conn)
            return conn
        else:
            raise Exception("连接池已满，请稍后再试")

# 测试代码：验证租户A的负载不影响租户B
def test_tenant_performance_isolation():
    pool = TenantConnectionPool(max_connections_per_tenant=10)
    # 模拟租户A占用所有连接
    for i in range(10):
        pool.get_connection(tenant_id=1)
    # 租户B应该仍能获取连接
    conn_b = pool.get_connection(tenant_id=2)
    assert conn_b is not None
    # 验证租户A的负载不会导致租户B的连接超时
    start_time = time.time()
    pool.get_connection(tenant_id=2)
    latency = time.time() - start_time
    assert latency < 0.1  # 延迟不超过100ms

# 模拟前端渲染时解析租户主题
def render_page(tenant_id):
    theme = get_tenant_theme(tenant_id)
    html = f"""
    <html>
    <head>
        <style>
            body {{ background-color: {theme['background']}; color: {theme['text_color']}; }}
        </style>
    </head>
    <body>
        <h1>公会 {tenant_id}</h1>
    </body>
    </html>
    """
    return html

# 测试代码：验证不同租户的UI主题不冲突
def test_ui_theme_isolation():
    theme_a = {"background": "red", "text_color": "white"}
    theme_b = {"background": "blue", "text_color": "black"}
    set_tenant_theme(1, theme_a)
    set_tenant_theme(2, theme_b)
    # 渲染并验证
    html_a = render_page(1)
    html_b = render_page(2)
    assert "background-color: red" in html_a
    assert "background-color: blue" in html_b
    # 关键：验证主题不混合
    assert "background-color: red" not in html_b

# 模拟50个租户同时发起请求
def test_multi_tenant_pressure():
    tenants = range(1, 51)  # 50个租户
    threads = []
    for tenant_id in tenants:
        t = threading.Thread(target=simulate_tenant_load, args=(tenant_id,))
        threads.append(t)
        t.start()
    for t in threads:
        t.join()
    # 验证所有租户的响应时间
    for tenant_id in tenants:
        latency = get_tenant_latency(tenant_id)
        assert latency < 200  # 延迟不超过200ms