张翔
af44c23f21
- 移除旧的测试套件和UAT测试文件 - 更新密码编码器配置使用BCrypt strength=12 - 添加用户角色关联表和相关服务 - 优化前端日期显示格式 - 清理无用资源和配置文件 - 增强测试数据管理和清理功能
160 lines
5.4 KiB
Python
160 lines
5.4 KiB
Python
"""
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边界条件测试用例
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测试系统在各种边界条件下的行为
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"""
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import pytest
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import asyncio
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import time
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from api.user_api import UserAPI
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from api.role_api import RoleAPI
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@pytest.mark.boundary
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@pytest.mark.regression
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class TestNumericBoundaries:
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"""数值边界测试类"""
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@pytest.mark.asyncio
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async def test_username_length_boundary(self, authenticated_client, test_data_manager):
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"""测试用户名长度边界"""
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user_api = UserAPI(authenticated_client)
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unique_id = f"{int(time.time() * 1000)}"
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# 测试正常长度用户名
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normal_username = f"user_{unique_id}"
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user_data = {
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"username": normal_username,
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"password": "Test123!@#",
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"email": f"normal_{unique_id}@example.com",
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"status": 1
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}
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response = await user_api.create_user(user_data)
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if response.status_code == 201:
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user_id = response.json()["id"]
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test_data_manager.add_user(user_id)
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assert response.json()["username"] == normal_username
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# 至少正常长度应该成功
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assert response.status_code == 201, "正常长度用户名创建失败"
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@pytest.mark.asyncio
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async def test_role_sort_boundary(self, authenticated_client, test_data_manager):
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"""测试角色排序边界"""
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role_api = RoleAPI(authenticated_client)
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unique_id = f"{int(time.time() * 1000)}"
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# 测试正常排序值
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normal_role_data = {
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"roleName": f"Normal_Role_{unique_id}",
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"roleKey": f"normal_role_{unique_id}",
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"roleSort": 100,
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"status": 1
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}
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response = await role_api.create_role(normal_role_data)
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if response.status_code == 201:
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role_id = response.json()["id"]
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test_data_manager.add_role(role_id)
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assert response.json()["roleSort"] == 100
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# 正常排序值应该成功
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assert response.status_code == 201, "正常排序值创建失败"
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@pytest.mark.asyncio
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async def test_numeric_field_boundaries(self, authenticated_client, test_data_manager):
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"""测试数值字段边界"""
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role_api = RoleAPI(authenticated_client)
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unique_id = f"{int(time.time() * 1000)}"
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# 测试正常数值
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role_data = {
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"roleName": f"Boundary_Role_{unique_id}",
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"roleKey": f"boundary_role_{unique_id}",
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"roleSort": 100,
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"status": 1
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}
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response = await role_api.create_role(role_data)
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if response.status_code == 201:
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role_id = response.json()["id"]
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test_data_manager.add_role(role_id)
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assert response.json()["roleSort"] == 100
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# 正常数值应该成功
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assert response.status_code == 201, "正常数值测试失败"
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@pytest.mark.boundary
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@pytest.mark.regression
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class TestTimeBoundaries:
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"""时间边界测试类"""
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@pytest.mark.asyncio
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async def test_rapid_sequential_operations(self, authenticated_client, test_data_manager):
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"""测试快速连续操作"""
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user_api = UserAPI(authenticated_client)
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unique_id = f"{int(time.time() * 1000)}"
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# 快速连续创建用户
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user_ids = []
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for i in range(5):
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user_data = {
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"username": f"rapid_user_{unique_id}_{i}",
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"password": "Test123!@#",
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"email": f"rapid_{unique_id}_{i}@example.com",
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"status": 1
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}
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response = await user_api.create_user(user_data)
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if response.status_code == 201:
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user_id = response.json()["id"]
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user_ids.append(user_id)
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test_data_manager.add_user(user_id)
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# 至少80%应该成功
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assert len(user_ids) >= 4, f"快速连续操作成功率过低: {len(user_ids)}/5"
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@pytest.mark.asyncio
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async def test_operation_timing_consistency(self, authenticated_client, test_data_manager):
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"""测试操作时间一致性"""
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user_api = UserAPI(authenticated_client)
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unique_id = f"{int(time.time() * 1000)}"
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# 创建用户
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user_data = {
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"username": f"timing_user_{unique_id}",
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"password": "Test123!@#",
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"email": f"timing_{unique_id}@example.com",
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"status": 1
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}
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create_response = await user_api.create_user(user_data)
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assert create_response.status_code == 201
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user_id = create_response.json()["id"]
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test_data_manager.add_user(user_id)
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# 多次查询，验证响应时间一致性
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response_times = []
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for _ in range(10):
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start_time = time.time()
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response = await user_api.get_user_by_id(user_id)
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end_time = time.time()
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assert response.status_code == 200
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response_times.append(end_time - start_time)
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await asyncio.sleep(0.1)
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# 验证响应时间一致性：标准差应该小于1秒
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avg_time = sum(response_times) / len(response_times)
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variance = sum((t - avg_time) ** 2 for t in response_times) / len(response_times)
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std_dev = variance ** 0.5
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assert std_dev < 1.0, f"响应时间不一致，标准差: {std_dev}" |