fix: 修复多个关键问题
- 修复前端路由守卫：未登录时不显示提示，直接跳转登录页 - 修复API拦截器：401错误不显示提示，直接跳转 - 增强验证码显示：图片尺寸从120x40增加到200x80 - 增大验证码字体：从28号增加到48号 - 优化验证码字符：排除易混淆的0和1 - 减少干扰线：从5条减少到3条，添加背景色优化 - 增强登录API日志：添加详细的调试日志 - 增强验证码生成和验证日志 - 优化异常处理和错误追踪 影响文件： - src/router/index.ts - src/api/request.ts - app/services/auth_service.py - app/api/v1/auth.py - app/schemas/user.py 测试状态： - 前端构建通过 - 后端语法检查通过 - 验证码显示效果优化完成 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
Claude
359
tests/performance/locustfile.py
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359
tests/performance/locustfile.py
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"""
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性能测试 - Locust文件
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测试内容:
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- 并发用户测试
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- 接口响应时间
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- 吞吐量测试
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- 负载测试
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- 压力测试
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"""
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from locust import HttpUser, task, between, events
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from locust.runners import MasterRunner
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import time
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import random
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# 测试数据
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TEST_USERS = [
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{"username": "admin", "password": "Admin123"},
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{"username": "user1", "password": "Test123"},
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{"username": "user2", "password": "Test123"},
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]
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ASSET_NAMES = ["联想台式机", "戴尔笔记本", "惠普打印机", "苹果显示器", "罗技鼠标"]
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DEVICE_TYPES = [1, 2, 3, 4, 5]
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ORGANIZATIONS = [1, 2, 3, 4, 5]
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class AssetManagementUser(HttpUser):
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"""
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资产管理系统用户模拟
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模拟真实用户的行为模式
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"""
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# 等待时间: 用户操作之间间隔1-3秒
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wait_time = between(1, 3)
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def on_start(self):
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"""用户登录时执行"""
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self.login()
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self.token = None
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self.headers = {}
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def login(self):
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"""登录获取token"""
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user = random.choice(TEST_USERS)
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# 先获取验证码
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captcha_resp = self.client.get("/api/v1/auth/captcha")
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if captcha_resp.status_code == 200:
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captcha_data = captcha_resp.json()
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captcha_key = captcha_data["data"]["captcha_key"]
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# 登录
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login_resp = self.client.post(
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"/api/v1/auth/login",
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json={
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"username": user["username"],
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"password": user["password"],
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"captcha": "1234", # 测试环境固定验证码
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"captcha_key": captcha_key
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}
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)
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if login_resp.status_code == 200:
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self.token = login_resp.json()["data"]["access_token"]
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self.headers = {
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"Authorization": f"Bearer {self.token}",
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"Content-Type": "application/json"
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}
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@task(10)
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def view_asset_list(self):
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"""查看资产列表 (高频操作)"""
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self.client.get(
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"/api/v1/assets",
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headers=self.headers,
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params={
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"page": random.randint(1, 5),
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"page_size": 20
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}
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)
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@task(5)
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def search_assets(self):
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"""搜索资产 (中频操作)"""
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keywords = ["联想", "戴尔", "台式机", "笔记本", "打印机"]
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keyword = random.choice(keywords)
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self.client.get(
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"/api/v1/assets",
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headers=self.headers,
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params={"keyword": keyword}
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)
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@task(3)
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def view_asset_detail(self):
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"""查看资产详情 (中频操作)"""
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asset_id = random.randint(1, 100)
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self.client.get(
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f"/api/v1/assets/{asset_id}",
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headers=self.headers
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)
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@task(2)
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def view_statistics(self):
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"""查看统计数据 (低频操作)"""
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self.client.get(
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"/api/v1/statistics/overview",
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headers=self.headers
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)
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@task(1)
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def create_asset(self):
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"""创建资产 (低频操作)"""
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asset_data = {
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"asset_name": f"{random.choice(ASSET_NAMES)}-{int(time.time())}",
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"device_type_id": random.choice(DEVICE_TYPES),
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"organization_id": random.choice(ORGANIZATIONS),
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"model": f"测试型号-{int(time.time())}",
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"serial_number": f"SN-{int(time.time())}",
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"location": f"测试位置-{random.randint(1, 10)}"
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}
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self.client.post(
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"/api/v1/assets",
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headers=self.headers,
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json=asset_data
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)
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@task(1)
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def filter_assets(self):
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"""筛选资产 (低频操作)"""
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statuses = ["in_stock", "in_use", "maintenance", "scrapped"]
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status = random.choice(statuses)
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self.client.get(
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"/api/v1/assets",
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headers=self.headers,
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params={"status": status}
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)
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class AssetManagementUserRead(AssetManagementUser):
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"""
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只读用户
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只执行查询操作,不执行写操作
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"""
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@task(10)
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def view_asset_list(self):
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"""查看资产列表"""
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self.client.get(
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"/api/v1/assets",
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headers=self.headers,
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params={"page": random.randint(1, 10), "page_size": 20}
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)
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@task(5)
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def view_asset_detail(self):
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"""查看资产详情"""
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asset_id = random.randint(1, 100)
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self.client.get(
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f"/api/v1/assets/{asset_id}",
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headers=self.headers
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)
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@task(3)
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def search_assets(self):
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"""搜索资产"""
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keywords = ["联想", "戴尔", "惠普"]
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self.client.get(
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"/api/v1/assets",
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headers=self.headers,
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params={"keyword": random.choice(keywords)}
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)
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@task(2)
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def view_statistics(self):
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"""查看统计数据"""
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self.client.get(
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"/api/v1/statistics/overview",
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headers=self.headers
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)
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# 自定义事件处理器
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@events.request.add_listener
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def on_request(request_type, name, response_time, response_length, **kwargs):
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"""
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请求事件监听器
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记录慢请求
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"""
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if response_time > 1000: # 响应时间超过1秒
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print(f"慢请求警告: {name} 耗时 {response_time}ms")
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@events.test_stop.add_listener
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def on_test_stop(environment, **kwargs):
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"""
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测试结束事件
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输出测试统计
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"""
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if not isinstance(environment.runner, MasterRunner):
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print("\n" + "="*50)
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print("性能测试完成")
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print("="*50)
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stats = environment.stats
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print(f"\n总请求数: {stats.total.num_requests}")
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print(f"失败请求数: {stats.total.num_failures}")
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print(f"平均响应时间: {stats.total.avg_response_time}ms")
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print(f"中位数响应时间: {stats.total.median_response_time}ms")
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print(f"95%请求响应时间: {stats.total.get_response_time_percentile(0.95)}ms")
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print(f"99%请求响应时间: {stats.total.get_response_time_percentile(0.99)}ms")
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print(f"请求/秒 (RPS): {stats.total.total_rps}")
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print(f"失败率: {stats.total.fail_ratio * 100:.2f}%")
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# 性能指标评估
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print("\n性能评估:")
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avg_response = stats.total.avg_response_time
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if avg_response < 200:
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print("✓ 响应时间: 优秀 (< 200ms)")
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elif avg_response < 500:
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print("✓ 响应时间: 良好 (< 500ms)")
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elif avg_response < 1000:
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print("⚠ 响应时间: 一般 (< 1000ms)")
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else:
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print("✗ 响应时间: 差 (> 1000ms)")
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rps = stats.total.total_rps
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if rps > 100:
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print("✓ 吞吐量: 优秀 (> 100 RPS)")
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elif rps > 50:
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print("✓ 吞吐量: 良好 (> 50 RPS)")
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elif rps > 20:
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print("⚠ 吞吐量: 一般 (> 20 RPS)")
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else:
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print("✗ 吞吐量: 差 (< 20 RPS)")
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fail_ratio = stats.total.fail_ratio * 100
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if fail_ratio < 1:
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print("✓ 失败率: 优秀 (< 1%)")
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elif fail_ratio < 5:
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print("✓ 失败率: 良好 (< 5%)")
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else:
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print("✗ 失败率: 差 (> 5%)")
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print("="*50 + "\n")
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# 性能测试目标
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PERFORMANCE_TARGETS = {
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"avg_response_time": 500, # 平均响应时间 < 500ms
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"p95_response_time": 1000, # 95%响应时间 < 1000ms
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"rps": 50, # 吞吐量 > 50 RPS
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"fail_ratio": 0.01 # 失败率 < 1%
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}
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class PerformanceTestRunner:
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"""
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性能测试运行器
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提供不同场景的性能测试
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"""
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def __init__(self):
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self.scenarios = {
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"smoke": self.smoke_test,
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"normal": self.normal_load_test,
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"stress": self.stress_test,
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"spike": self.spike_test,
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"endurance": self.endurance_test
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}
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def smoke_test(self):
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"""
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冒烟测试
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少量用户,验证系统基本功能
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"""
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return {
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"num_users": 10,
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"spawn_rate": 2,
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"run_time": "1m"
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}
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def normal_load_test(self):
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"""
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正常负载测试
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模拟日常使用情况
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"""
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return {
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"num_users": 50,
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"spawn_rate": 5,
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"run_time": "5m"
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}
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def stress_test(self):
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"""
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压力测试
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逐步增加用户直到系统达到极限
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"""
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return {
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"num_users": 200,
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"spawn_rate": 10,
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"run_time": "10m"
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}
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def spike_test(self):
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"""
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尖峰测试
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突然大量用户访问
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"""
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return {
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"num_users": 500,
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"spawn_rate": 50,
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"run_time": "2m"
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}
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def endurance_test(self):
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"""
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耐力测试
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长时间稳定负载
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"""
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return {
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"num_users": 100,
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"spawn_rate": 10,
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"run_time": "30m"
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}
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# 使用说明
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"""
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运行性能测试:
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1. 冒烟测试 (10用户, 1分钟):
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locust -f locustfile.py --headless -u 10 -r 2 -t 1m
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2. 正常负载测试 (50用户, 5分钟):
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locust -f locustfile.py --headless -u 50 -r 5 -t 5m
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3. 压力测试 (200用户, 10分钟):
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locust -f locustfile.py --headless -u 200 -r 10 -t 10m
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4. 尖峰测试 (500用户, 2分钟):
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locust -f locustfile.py --headless -u 500 -r 50 -t 2m
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5. Web界面模式:
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locust -f locustfile.py --host=http://localhost:8000
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然后访问 http://localhost:8089
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6. 分布式测试 (Master):
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locust -f locustfile.py --master --expect-workers=4
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7. 分布式测试 (Worker):
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locust -f locustfile.py --worker --master-host=<master-ip>
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"""
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Block a user