Files

T

- 添加E2E测试报告
- 添加UAT测试报告
- 添加测试计划文档
- 添加测试改进总结

2026-04-15 23:38:15 +08:00

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测试用例补充实施计划

For Claude: REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.

Goal: 根据测试覆盖度评估结论，系统化补充缺失的测试用例，提升整体测试覆盖率和质量

Architecture: 基于现有pytest和Playwright测试框架，采用TDD方法，按优先级分阶段实施测试用例补充

Tech Stack: pytest, Playwright, httpx, asyncio, Python 3.9+

📋 实施概述

基于测试覆盖度评估结果，当前系统存在以下主要问题：

API测试覆盖率：13%（目标80%）
前端测试覆盖率：20%（目标80%）
E2E测试通过率：14%（目标95%）
缺少关键业务流程、异常场景、性能测试等

本计划按优先级分4个阶段实施：

P0阶段：关键业务流程测试（1-2周）
P1阶段：异常场景测试（2-3周）
P2阶段：性能测试（1-2周）
P3-P4阶段：边界条件和安全测试（2-3周）

🎯 P0阶段：关键业务流程测试

Task 1: 分布式事务一致性测试

优先级: P0
预计时间: 3-5天

Files:

Create: api_integration_tests/tests/test_distributed_transaction.py
Modify: api_integration_tests/conftest.py (添加分布式事务相关fixtures)
Test: api_integration_tests/tests/test_distributed_transaction.py

Step 1: 创建分布式事务测试文件

"""
分布式事务一致性测试用例
测试跨模块业务操作的数据一致性
"""

import pytest
import asyncio
import time
from api.user_api import UserAPI
from api.role_api import RoleAPI
from api.notice_api import SysNoticeAPI


@pytest.mark.distributed
@pytest.mark.regression
@pytest.mark.critical
class TestDistributedTransaction:
    """分布式事务一致性测试类"""
    
    @pytest.mark.asyncio
    async def test_user_role_assignment_consistency(self, authenticated_client, test_data_manager):
        """测试用户角色分配的事务一致性"""
        user_api = UserAPI(authenticated_client)
        role_api = RoleAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建角色
        role_data = {
            "roleName": f"TX_Role_{unique_id}",
            "roleKey": f"tx_role_{unique_id}",
            "roleSort": 1,
            "status": 1
        }
        
        role_response = await role_api.create_role(role_data)
        assert role_response.status_code == 201
        role_id = role_response.json()["id"]
        test_data_manager.add_role(role_id)
        
        # 创建用户
        user_data = {
            "username": f"tx_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"tx_{unique_id}@example.com",
            "status": 1
        }
        
        user_response = await user_api.create_user(user_data)
        assert user_response.status_code == 201
        user_id = user_response.json()["id"]
        test_data_manager.add_user(user_id)
        
        # 分配角色
        assign_response = await user_api.update_user(user_id, {"roleId": role_id})
        assert assign_response.status_code == 200
        
        # 验证一致性
        user_verify = await user_api.get_user_by_id(user_id)
        assert user_verify.json()["roleId"] == role_id
        
        role_verify = await role_api.get_role_by_id(role_id)
        assert role_verify.status_code == 200
    
    @pytest.mark.asyncio
    async def test_multi_module_operation_consistency(self, authenticated_client, test_data_manager):
        """测试多模块操作的事务一致性"""
        user_api = UserAPI(authenticated_client)
        role_api = RoleAPI(authenticated_client)
        notice_api = SysNoticeAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建角色
        role_data = {
            "roleName": f"Multi_Role_{unique_id}",
            "roleKey": f"multi_role_{unique_id}",
            "roleSort": 1,
            "status": 1
        }
        role_response = await role_api.create_role(role_data)
        role_id = role_response.json()["id"]
        test_data_manager.add_role(role_id)
        
        # 创建用户
        user_data = {
            "username": f"multi_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"multi_{unique_id}@example.com",
            "roleId": role_id,
            "status": 1
        }
        user_response = await user_api.create_user(user_data)
        user_id = user_response.json()["id"]
        test_data_manager.add_user(user_id)
        
        # 创建通知
        notice_data = {
            "noticeTitle": f"Multi_Notice_{unique_id}",
            "noticeType": "1",
            "noticeContent": f"用户 {user_data['username']} 已创建",
            "status": "0"
        }
        notice_response = await notice_api.create(notice_data)
        assert notice_response.status_code in [200, 201]
        
        # 验证所有操作都成功
        user_verify = await user_api.get_user_by_id(user_id)
        assert user_verify.status_code == 200
        
        role_verify = await role_api.get_role_by_id(role_id)
        assert role_verify.status_code == 200
        
        notices = await notice_api.get_all()
        assert notices.status_code == 200
        notice_list = notices.json()
        assert any(n["noticeTitle"] == notice_data["noticeTitle"] for n in notice_list)
    
    @pytest.mark.asyncio
    async def test_transaction_rollback_on_failure(self, authenticated_client, test_data_manager):
        """测试失败时的事务回滚"""
        user_api = UserAPI(authenticated_client)
        role_api = RoleAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建角色
        role_data = {
            "roleName": f"Rollback_Role_{unique_id}",
            "roleKey": f"rollback_role_{unique_id}",
            "roleSort": 1,
            "status": 1
        }
        role_response = await role_api.create_role(role_data)
        role_id = role_response.json()["id"]
        test_data_manager.add_role(role_id)
        
        # 尝试创建无效用户（应该失败）
        invalid_user_data = {
            "username": "",  # 无效用户名
            "password": "Test123!@#",
            "email": f"rollback_{unique_id}@example.com",
            "roleId": role_id,
            "status": 1
        }
        
        invalid_response = await user_api.create_user(invalid_user_data)
        assert invalid_response.status_code in [400, 422]
        
        # 验证角色仍然存在（不应该被回滚）
        role_verify = await role_api.get_role_by_id(role_id)
        assert role_verify.status_code == 200

Step 2: 运行测试验证失败

cd api_integration_tests
pytest tests/test_distributed_transaction.py::TestDistributedTransaction::test_user_role_assignment_consistency -v

Expected: FAIL with "module not found" or "import error"

Step 3: 添加必要的fixtures到conftest.py

在 api_integration_tests/conftest.py 中添加：

@pytest.fixture
async def cleanup_distributed_transaction(authenticated_client: AsyncClient):
    """分布式事务测试清理fixture"""
    user_ids = []
    role_ids = []
    notice_ids = []
    
    yield {"users": user_ids, "roles": role_ids, "notices": notice_ids}
    
    # 清理通知
    for notice_id in notice_ids:
        try:
            await authenticated_client.delete(f"/api/notices/{notice_id}")
        except Exception:
            pass
    
    # 清理用户
    for user_id in user_ids:
        try:
            await authenticated_client.delete(f"/api/users/{user_id}")
        except Exception:
            pass
    
    # 清理角色
    for role_id in role_ids:
        try:
            await authenticated_client.delete(f"/api/roles/{role_id}")
        except Exception:
            pass

Step 4: 运行测试验证通过

cd api_integration_tests
pytest tests/test_distributed_transaction.py::TestDistributedTransaction::test_user_role_assignment_consistency -v

Expected: PASS

Step 5: 提交代码

git add api_integration_tests/tests/test_distributed_transaction.py api_integration_tests/conftest.py
git commit -m "test: add distributed transaction consistency tests (P0)"

Task 2: 数据恢复和备份测试

优先级: P0
预计时间: 2-3天

Files:

Create: api_integration_tests/tests/test_data_recovery.py
Test: api_integration_tests/tests/test_data_recovery.py

Step 1: 创建数据恢复测试文件

"""
数据恢复和备份测试用例
测试数据备份、恢复、迁移功能
"""

import pytest
import time
from api.user_api import UserAPI
from api.role_api import RoleAPI


@pytest.mark.recovery
@pytest.mark.regression
@pytest.mark.critical
class TestDataRecovery:
    """数据恢复和备份测试类"""
    
    @pytest.mark.asyncio
    async def test_logical_delete_and_recovery(self, authenticated_client, test_data_manager):
        """测试逻辑删除和数据恢复"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建用户
        user_data = {
            "username": f"recovery_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"recovery_{unique_id}@example.com",
            "status": 1
        }
        
        create_response = await user_api.create_user(user_data)
        assert create_response.status_code == 201
        user_id = create_response.json()["id"]
        test_data_manager.add_user(user_id)
        
        # 逻辑删除
        delete_response = await user_api.logical_delete_user(user_id)
        assert delete_response.status_code == 204
        
        # 验证用户已被删除
        get_response = await user_api.get_user_by_id(user_id)
        assert get_response.status_code == 404
        
        # 恢复用户
        restore_response = await user_api.restore_user(user_id)
        assert restore_response.status_code == 204
        
        # 验证用户已恢复
        restored_response = await user_api.get_user_by_id(user_id)
        assert restored_response.status_code == 200
        assert restored_response.json()["username"] == user_data["username"]
    
    @pytest.mark.asyncio
    async def test_batch_recovery(self, authenticated_client, test_data_manager):
        """测试批量数据恢复"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        user_ids = []
        
        # 创建多个用户
        for i in range(5):
            user_data = {
                "username": f"batch_recovery_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"batch_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            create_response = await user_api.create_user(user_data)
            assert create_response.status_code == 201
            user_id = create_response.json()["id"]
            user_ids.append(user_id)
            test_data_manager.add_user(user_id)
        
        # 批量删除
        for user_id in user_ids:
            delete_response = await user_api.logical_delete_user(user_id)
            assert delete_response.status_code == 204
        
        # 批量恢复
        for user_id in user_ids:
            restore_response = await user_api.restore_user(user_id)
            assert restore_response.status_code == 204
        
        # 验证所有用户都已恢复
        for user_id in user_ids:
            get_response = await user_api.get_user_by_id(user_id)
            assert get_response.status_code == 200
    
    @pytest.mark.asyncio
    async def test_recovery_with_associated_data(self, authenticated_client, test_data_manager):
        """测试关联数据的恢复"""
        user_api = UserAPI(authenticated_client)
        role_api = RoleAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建角色
        role_data = {
            "roleName": f"Recovery_Role_{unique_id}",
            "roleKey": f"recovery_role_{unique_id}",
            "roleSort": 1,
            "status": 1
        }
        role_response = await role_api.create_role(role_data)
        role_id = role_response.json()["id"]
        test_data_manager.add_role(role_id)
        
        # 创建用户并分配角色
        user_data = {
            "username": f"assoc_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"assoc_{unique_id}@example.com",
            "roleId": role_id,
            "status": 1
        }
        user_response = await user_api.create_user(user_data)
        user_id = user_response.json()["id"]
        test_data_manager.add_user(user_id)
        
        # 删除用户
        await user_api.logical_delete_user(user_id)
        
        # 恢复用户
        await user_api.restore_user(user_id)
        
        # 验证用户和角色关联仍然存在
        user_verify = await user_api.get_user_by_id(user_id)
        assert user_verify.status_code == 200
        assert user_verify.json()["roleId"] == role_id

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_data_recovery.py::TestDataRecovery::test_logical_delete_and_recovery -v

Expected: PASS

Step 3: 提交代码

git add api_integration_tests/tests/test_data_recovery.py
git commit -m "test: add data recovery and backup tests (P0)"

Task 3: 系统升级迁移测试

优先级: P0
预计时间: 3-4天

Files:

Create: api_integration_tests/tests/test_system_migration.py
Test: api_integration_tests/tests/test_system_migration.py

Step 1: 创建系统迁移测试文件

"""
系统升级迁移测试用例
测试版本升级时的数据迁移和兼容性
"""

import pytest
import time
from api.user_api import UserAPI
from api.role_api import RoleAPI
from api.config_api import ConfigAPI


@pytest.mark.migration
@pytest.mark.regression
@pytest.mark.critical
class TestSystemMigration:
    """系统升级迁移测试类"""
    
    @pytest.mark.asyncio
    async def test_data_schema_compatibility(self, authenticated_client, test_data_manager):
        """测试数据模式兼容性"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建包含所有字段的用户
        user_data = {
            "username": f"compat_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"compat_{unique_id}@example.com",
            "phone": "13800138000",
            "nickname": f"兼容性测试用户{unique_id}",
            "roleId": 2,
            "status": 1
        }
        
        create_response = await user_api.create_user(user_data)
        assert create_response.status_code == 201
        user_id = create_response.json()["id"]
        test_data_manager.add_user(user_id)
        
        # 验证所有字段都能正确读取
        get_response = await user_api.get_user_by_id(user_id)
        assert get_response.status_code == 200
        user_info = get_response.json()
        
        assert user_info["username"] == user_data["username"]
        assert user_info["email"] == user_data["email"]
        assert user_info["phone"] == user_data["phone"]
        assert user_info["nickname"] == user_data["nickname"]
        assert user_info["roleId"] == user_data["roleId"]
        assert user_info["status"] == user_data["status"]
    
    @pytest.mark.asyncio
    async def test_config_migration(self, authenticated_client, test_data_manager):
        """测试配置迁移"""
        config_api = ConfigAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建旧版本配置
        old_config_data = {
            "configName": f"old_config_{unique_id}",
            "configKey": f"old.key.{unique_id}",
            "configValue": "old_value",
            "configType": "system",
            "remark": "旧版本配置"
        }
        
        create_response = await config_api.create_config(old_config_data)
        assert create_response.status_code == 201
        config_id = create_response.json()["id"]
        test_data_manager.add_config(config_id)
        
        # 更新为新版本配置格式
        new_config_data = {
            "configValue": "new_value",
            "configType": "business"
        }
        
        update_response = await config_api.update_config(config_id, new_config_data)
        assert update_response.status_code == 200
        
        # 验证配置已正确迁移
        get_response = await config_api.get_config_by_id(config_id)
        assert get_response.status_code == 200
        config_info = get_response.json()
        
        assert config_info["configValue"] == "new_value"
        assert config_info["configType"] == "business"
    
    @pytest.mark.asyncio
    async def test_role_permission_migration(self, authenticated_client, test_data_manager):
        """测试角色权限迁移"""
        role_api = RoleAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建旧版本角色
        old_role_data = {
            "roleName": f"old_role_{unique_id}",
            "roleKey": f"old.role.{unique_id}",
            "roleSort": 1,
            "status": 1,
            "remark": "旧版本角色"
        }
        
        create_response = await role_api.create_role(old_role_data)
        assert create_response.status_code == 201
        role_id = create_response.json()["id"]
        test_data_manager.add_role(role_id)
        
        # 迁移权限（模拟权限升级）
        new_permissions = [
            "system:user:view",
            "system:user:add",
            "system:user:edit",
            "system:user:delete"
        ]
        
        # 为角色分配新权限
        for permission in new_permissions:
            assign_response = await role_api.assign_permission(role_id, permission)
            assert assign_response.status_code in [200, 201]
        
        # 验证权限已正确迁移
        role_verify = await role_api.get_role_by_id(role_id)
        assert role_verify.status_code == 200
        role_info = role_verify.json()
        
        # 验证角色信息
        assert role_info["roleName"] == old_role_data["roleName"]
        assert role_info["status"] == old_role_data["status"]

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_system_migration.py::TestSystemMigration::test_data_schema_compatibility -v

Expected: PASS

Step 3: 提交代码

git add api_integration_tests/tests/test_system_migration.py
git commit -m "test: add system migration tests (P0)"

Task 4: 灾难恢复测试

优先级: P0
预计时间: 2-3天

Files:

Create: api_integration_tests/tests/test_disaster_recovery.py
Test: api_integration_tests/tests/test_disaster_recovery.py

Step 1: 创建灾难恢复测试文件

"""
灾难恢复测试用例
测试系统在灾难场景下的恢复能力
"""

import pytest
import time
import asyncio
from api.user_api import UserAPI
from api.role_api import RoleAPI


@pytest.mark.disaster
@pytest.mark.regression
@pytest.mark.critical
class TestDisasterRecovery:
    """灾难恢复测试类"""
    
    @pytest.mark.asyncio
    async def test_service_restart_recovery(self, authenticated_client, test_data_manager):
        """测试服务重启后的数据恢复"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建用户
        user_data = {
            "username": f"restart_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"restart_{unique_id}@example.com",
            "status": 1
        }
        
        create_response = await user_api.create_user(user_data)
        assert create_response.status_code == 201
        user_id = create_response.json()["id"]
        test_data_manager.add_user(user_id)
        
        # 模拟服务重启（等待一段时间）
        await asyncio.sleep(2)
        
        # 服务重启后验证数据仍然存在
        get_response = await user_api.get_user_by_id(user_id)
        assert get_response.status_code == 200
        assert get_response.json()["username"] == user_data["username"]
    
    @pytest.mark.asyncio
    async def test_connection_pool_recovery(self, authenticated_client, test_data_manager):
        """测试连接池恢复"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建用户
        user_data = {
            "username": f"pool_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"pool_{unique_id}@example.com",
            "status": 1
        }
        
        create_response = await user_api.create_user(user_data)
        assert create_response.status_code == 201
        user_id = create_response.json()["id"]
        test_data_manager.add_user(user_id)
        
        # 执行多次请求以测试连接池
        for i in range(10):
            get_response = await user_api.get_user_by_id(user_id)
            assert get_response.status_code == 200
        
        # 验证数据一致性
        final_response = await user_api.get_user_by_id(user_id)
        assert final_response.status_code == 200
        assert final_response.json()["username"] == user_data["username"]
    
    @pytest.mark.asyncio
    async def test_cache_invalidation_recovery(self, authenticated_client, test_data_manager):
        """测试缓存失效后的恢复"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建用户
        user_data = {
            "username": f"cache_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"cache_{unique_id}@example.com",
            "status": 1
        }
        
        create_response = await user_api.create_user(user_data)
        assert create_response.status_code == 201
        user_id = create_response.json()["id"]
        test_data_manager.add_user(user_id)
        
        # 更新用户信息
        update_data = {"email": f"updated_{unique_id}@example.com"}
        update_response = await user_api.update_user(user_id, update_data)
        assert update_response.status_code == 200
        
        # 验证缓存已失效，获取到最新数据
        get_response = await user_api.get_user_by_id(user_id)
        assert get_response.status_code == 200
        assert get_response.json()["email"] == update_data["email"]

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_disaster_recovery.py::TestDisasterRecovery::test_service_restart_recovery -v

Expected: PASS

Step 3: 提交代码

git add api_integration_tests/tests/test_disaster_recovery.py
git commit -m "test: add disaster recovery tests (P0)"

🚨 P1阶段：异常场景测试

Task 5: 网络中断恢复测试

优先级: P1
预计时间: 2-3天

Files:

Create: api_integration_tests/tests/test_network_recovery.py
Test: api_integration_tests/tests/test_network_recovery.py

Step 1: 创建网络恢复测试文件

"""
网络中断恢复测试用例
测试网络故障时的处理和恢复能力
"""

import pytest
import time
import asyncio
from api.user_api import UserAPI
from api.role_api import RoleAPI


@pytest.mark.network
@pytest.mark.regression
class TestNetworkRecovery:
    """网络中断恢复测试类"""
    
    @pytest.mark.asyncio
    async def test_request_timeout_recovery(self, authenticated_client, test_data_manager):
        """测试请求超时后的恢复"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建用户
        user_data = {
            "username": f"timeout_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"timeout_{unique_id}@example.com",
            "status": 1
        }
        
        try:
            create_response = await user_api.create_user(user_data)
            assert create_response.status_code == 201
            user_id = create_response.json()["id"]
            test_data_manager.add_user(user_id)
        except asyncio.TimeoutError:
            # 超时后重试
            await asyncio.sleep(1)
            create_response = await user_api.create_user(user_data)
            assert create_response.status_code == 201
            user_id = create_response.json()["id"]
            test_data_manager.add_user(user_id)
        
        # 验证用户创建成功
        get_response = await user_api.get_user_by_id(user_id)
        assert get_response.status_code == 200
    
    @pytest.mark.asyncio
    async def test_connection_refused_recovery(self, authenticated_client, test_data_manager):
        """测试连接拒绝后的恢复"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 模拟连接问题
        user_data = {
            "username": f"conn_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"conn_{unique_id}@example.com",
            "status": 1
        }
        
        max_retries = 3
        for attempt in range(max_retries):
            try:
                create_response = await user_api.create_user(user_data)
                if create_response.status_code == 201:
                    user_id = create_response.json()["id"]
                    test_data_manager.add_user(user_id)
                    break
            except Exception as e:
                if attempt == max_retries - 1:
                    raise
                await asyncio.sleep(1)
        
        # 验证用户创建成功
        get_response = await user_api.get_user_by_id(user_id)
        assert get_response.status_code == 200
    
    @pytest.mark.asyncio
    async def test_network_fluctuation_handling(self, authenticated_client, test_data_manager):
        """测试网络波动的处理"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        user_ids = []
        
        # 模拟网络波动，创建多个用户
        for i in range(5):
            user_data = {
                "username": f"fluctuation_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"fluctuation_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            try:
                create_response = await user_api.create_user(user_data)
                if create_response.status_code == 201:
                    user_id = create_response.json()["id"]
                    user_ids.append(user_id)
                    test_data_manager.add_user(user_id)
            except Exception:
                # 网络波动时跳过
                await asyncio.sleep(0.5)
                continue
        
        # 验证至少部分用户创建成功
        assert len(user_ids) > 0
        
        # 验证所有创建的用户都能正常访问
        for user_id in user_ids:
            get_response = await user_api.get_user_by_id(user_id)
            assert get_response.status_code == 200

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_network_recovery.py::TestNetworkRecovery::test_request_timeout_recovery -v

Expected: PASS

Step 3: 提交代码

git add api_integration_tests/tests/test_network_recovery.py
git commit -m "test: add network recovery tests (P1)"

Task 6: 数据库连接失败测试

优先级: P1
预计时间: 2-3天

Files:

Create: api_integration_tests/tests/test_database_failure.py
Test: api_integration_tests/tests/test_database_failure.py

Step 1: 创建数据库故障测试文件

"""
数据库连接失败测试用例
测试数据库故障时的处理和恢复能力
"""

import pytest
import time
import asyncio
from api.user_api import UserAPI
from api.role_api import RoleAPI


@pytest.mark.database
@pytest.mark.regression
class TestDatabaseFailure:
    """数据库连接失败测试类"""
    
    @pytest.mark.asyncio
    async def test_database_connection_timeout(self, authenticated_client, test_data_manager):
        """测试数据库连接超时"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 尝试创建用户
        user_data = {
            "username": f"db_timeout_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"db_timeout_{unique_id}@example.com",
            "status": 1
        }
        
        # 数据库超时后应该返回适当的错误
        try:
            create_response = await user_api.create_user(user_data)
            # 如果成功，验证数据
            if create_response.status_code == 201:
                user_id = create_response.json()["id"]
                test_data_manager.add_user(user_id)
                
                get_response = await user_api.get_user_by_id(user_id)
                assert get_response.status_code == 200
        except Exception as e:
            # 验证错误处理
            assert "timeout" in str(e).lower() or "connection" in str(e).lower()
    
    @pytest.mark.asyncio
    async def test_database_connection_pool_exhaustion(self, authenticated_client, test_data_manager):
        """测试数据库连接池耗尽"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 并发创建多个用户以测试连接池
        tasks = []
        for i in range(20):
            user_data = {
                "username": f"pool_exhaust_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"pool_exhaust_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            async def create_user():
                try:
                    response = await user_api.create_user(user_data)
                    if response.status_code == 201:
                        return response.json()["id"]
                except Exception:
                    return None
            
            tasks.append(create_user())
        
        # 执行并发请求
        results = await asyncio.gather(*tasks, return_exceptions=True)
        
        # 验证至少部分请求成功
        successful_ids = [r for r in results if r is not None and isinstance(r, int)]
        assert len(successful_ids) > 0
        
        # 清理
        for user_id in successful_ids:
            test_data_manager.add_user(user_id)
    
    @pytest.mark.asyncio
    async def test_database_transaction_rollback(self, authenticated_client, test_data_manager):
        """测试数据库事务回滚"""
        user_api = UserAPI(authenticated_client)
        role_api = RoleAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建角色
        role_data = {
            "roleName": f"TX_Rollback_Role_{unique_id}",
            "roleKey": f"tx_rollback_role_{unique_id}",
            "roleSort": 1,
            "status": 1
        }
        
        role_response = await role_api.create_role(role_data)
        if role_response.status_code == 201:
            role_id = role_response.json()["id"]
            test_data_manager.add_role(role_id)
            
            # 尝试创建无效用户（应该触发事务回滚）
            invalid_user_data = {
                "username": "",  # 无效用户名
                "password": "Test123!@#",
                "email": f"tx_rollback_{unique_id}@example.com",
                "roleId": role_id,
                "status": 1
            }
            
            user_response = await user_api.create_user(invalid_user_data)
            assert user_response.status_code in [400, 422]
            
            # 验证角色仍然存在（不应该被回滚）
            role_verify = await role_api.get_role_by_id(role_id)
            assert role_verify.status_code == 200

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_database_failure.py::TestDatabaseFailure::test_database_connection_timeout -v

Expected: PASS

Step 3: 提交代码

git add api_integration_tests/tests/test_database_failure.py
git commit -m "test: add database failure tests (P1)"

Task 7: 服务降级测试

优先级: P1
预计时间: 2-3天

Files:

Create: api_integration_tests/tests/test_service_degradation.py
Test: api_integration_tests/tests/test_service_degradation.py

Step 1: 创建服务降级测试文件

"""
服务降级测试用例
测试部分服务不可用时的降级处理
"""

import pytest
import time
from api.user_api import UserAPI
from api.role_api import RoleAPI
from api.notice_api import SysNoticeAPI


@pytest.mark.degradation
@pytest.mark.regression
class TestServiceDegradation:
    """服务降级测试类"""
    
    @pytest.mark.asyncio
    async def test_read_only_mode(self, authenticated_client, test_data_manager):
        """测试只读模式"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 在只读模式下，读取操作应该正常
        get_all_response = await user_api.get_all_users()
        assert get_all_response.status_code == 200
        
        # 写入操作应该被拒绝或降级
        user_data = {
            "username": f"readonly_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"readonly_{unique_id}@example.com",
            "status": 1
        }
        
        create_response = await user_api.create_user(user_data)
        # 只读模式下应该返回503或403
        assert create_response.status_code in [200, 201, 403, 503]
        
        # 如果创建成功，清理
        if create_response.status_code in [200, 201]:
            user_id = create_response.json()["id"]
            test_data_manager.add_user(user_id)
    
    @pytest.mark.asyncio
    async def test_cache_fallback(self, authenticated_client, test_data_manager):
        """测试缓存降级"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建用户
        user_data = {
            "username": f"cache_fallback_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"cache_fallback_{unique_id}@example.com",
            "status": 1
        }
        
        create_response = await user_api.create_user(user_data)
        if create_response.status_code == 201:
            user_id = create_response.json()["id"]
            test_data_manager.add_user(user_id)
            
            # 第一次请求从数据库读取
            get_response1 = await user_api.get_user_by_id(user_id)
            assert get_response1.status_code == 200
            
            # 第二次请求应该从缓存读取
            get_response2 = await user_api.get_user_by_id(user_id)
            assert get_response2.status_code == 200
            
            # 验证数据一致性
            assert get_response1.json() == get_response2.json()
    
    @pytest.mark.asyncio
    async def test_partial_service_unavailability(self, authenticated_client, test_data_manager):
        """测试部分服务不可用"""
        user_api = UserAPI(authenticated_client)
        notice_api = SysNoticeAPI(authenticated_client)
        
        # 用户服务应该可用
        get_users_response = await user_api.get_all_users()
        assert get_users_response.status_code == 200
        
        # 通知服务可能不可用
        try:
            get_notices_response = await notice_api.get_all()
            # 如果可用，验证响应
            if get_notices_response.status_code == 200:
                assert isinstance(get_notices_response.json(), list)
        except Exception:
            # 通知服务不可用，系统应该继续运行
            pass
        
        # 验证核心功能仍然可用
        get_users_response2 = await user_api.get_all_users()
        assert get_users_response2.status_code == 200

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_service_degradation.py::TestServiceDegradation::test_read_only_mode -v

Expected: PASS

Step 3: 提交代码

git add api_integration_tests/tests/test_service_degradation.py
git commit -m "test: add service degradation tests (P1)"

Task 8: 第三方服务超时测试

优先级: P1
预计时间: 2-3天

Files:

Create: api_integration_tests/tests/test_third_party_timeout.py
Test: api_integration_tests/tests/test_third_party_timeout.py

Step 1: 创建第三方服务超时测试文件

"""
第三方服务超时测试用例
测试第三方服务超时时的处理
"""

import pytest
import time
import asyncio
from api.user_api import UserAPI
from api.notice_api import SysNoticeAPI


@pytest.mark.timeout
@pytest.mark.regression
class TestThirdPartyTimeout:
    """第三方服务超时测试类"""
    
    @pytest.mark.asyncio
    async def test_external_api_timeout(self, authenticated_client, test_data_manager):
        """测试外部API超时"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建用户（可能涉及外部API调用）
        user_data = {
            "username": f"external_user_{unique_id}",
            "password": "Test123!@#",
            "email": f"external_{unique_id}@example.com",
            "status": 1
        }
        
        try:
            # 设置较短的超时时间
            create_response = await asyncio.wait_for(
                user_api.create_user(user_data),
                timeout=5.0
            )
            
            if create_response.status_code == 201:
                user_id = create_response.json()["id"]
                test_data_manager.add_user(user_id)
                
                # 验证用户创建成功
                get_response = await user_api.get_user_by_id(user_id)
                assert get_response.status_code == 200
                
        except asyncio.TimeoutError:
            # 超时处理
            pass
    
    @pytest.mark.asyncio
    async def test_notification_service_timeout(self, authenticated_client, test_data_manager):
        """测试通知服务超时"""
        notice_api = SysNoticeAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建通知
        notice_data = {
            "noticeTitle": f"Timeout_Notice_{unique_id}",
            "noticeType": "1",
            "noticeContent": "测试通知服务超时",
            "status": "0"
        }
        
        try:
            # 设置较短的超时时间
            create_response = await asyncio.wait_for(
                notice_api.create(notice_data),
                timeout=5.0
            )
            
            if create_response.status_code in [200, 201]:
                notice_id = create_response.json().get("id")
                if notice_id:
                    test_data_manager.add_notice(notice_id)
                
                # 验证通知创建成功
                get_response = await notice_api.get_by_id(notice_id)
                assert get_response.status_code == 200
                
        except asyncio.TimeoutError:
            # 超时处理
            pass
    
    @pytest.mark.asyncio
    async def test_cascading_timeout_prevention(self, authenticated_client, test_data_manager):
        """测试级联超时预防"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建多个用户，测试是否会出现级联超时
        tasks = []
        for i in range(5):
            user_data = {
                "username": f"cascading_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"cascading_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            async def create_user():
                try:
                    response = await asyncio.wait_for(
                        user_api.create_user(user_data),
                        timeout=3.0
                    )
                    if response.status_code == 201:
                        return response.json()["id"]
                except asyncio.TimeoutError:
                    return None
            
            tasks.append(create_user())
        
        # 执行并发请求
        results = await asyncio.gather(*tasks, return_exceptions=True)
        
        # 验证至少部分请求成功
        successful_ids = [r for r in results if r is not None and isinstance(r, int)]
        assert len(successful_ids) > 0
        
        # 清理
        for user_id in successful_ids:
            test_data_manager.add_user(user_id)

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_third_party_timeout.py::TestThirdPartyTimeout::test_external_api_timeout -v

Expected: PASS

Step 3: 提交代码

git add api_integration_tests/tests/test_third_party_timeout.py
git commit -m "test: add third party timeout tests (P1)"

⚡ P2阶段：性能测试

Task 9: 高并发压力测试

优先级: P2
预计时间: 3-4天

Files:

Create: api_integration_tests/tests/test_high_concurrency.py
Test: api_integration_tests/tests/test_high_concurrency.py

Step 1: 创建高并发测试文件

"""
高并发压力测试用例
测试系统在高并发情况下的性能和稳定性
"""

import pytest
import time
import asyncio
from statistics import mean, median
from api.user_api import UserAPI
from api.role_api import RoleAPI


@pytest.mark.performance
@pytest.mark.concurrency
class TestHighConcurrency:
    """高并发压力测试类"""
    
    @pytest.mark.asyncio
    async def test_concurrent_user_creation(self, authenticated_client, test_data_manager):
        """测试并发创建用户"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        concurrent_count = 50
        
        # 并发创建用户
        tasks = []
        start_time = time.time()
        
        for i in range(concurrent_count):
            user_data = {
                "username": f"concurrent_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"concurrent_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            async def create_user():
                try:
                    response = await user_api.create_user(user_data)
                    if response.status_code == 201:
                        return response.json()["id"]
                except Exception as e:
                    print(f"创建用户失败: {e}")
                    return None
            
            tasks.append(create_user())
        
        # 执行并发请求
        results = await asyncio.gather(*tasks, return_exceptions=True)
        end_time = time.time()
        
        # 统计结果
        successful_ids = [r for r in results if r is not None and isinstance(r, int)]
        failed_count = concurrent_count - len(successful_ids)
        total_time = end_time - start_time
        avg_time = total_time / concurrent_count
        
        print(f"并发创建用户统计:")
        print(f"  总请求数: {concurrent_count}")
        print(f"  成功数: {len(successful_ids)}")
        print(f"  失败数: {failed_count}")
        print(f"  总耗时: {total_time:.2f}秒")
        print(f"  平均耗时: {avg_time:.2f}秒")
        print(f"  吞吐量: {concurrent_count/total_time:.2f} 请求/秒")
        
        # 验证至少90%的请求成功
        success_rate = len(successful_ids) / concurrent_count
        assert success_rate >= 0.9, f"成功率过低: {success_rate:.2%}"
        
        # 清理
        for user_id in successful_ids:
            test_data_manager.add_user(user_id)
    
    @pytest.mark.asyncio
    async def test_concurrent_user_queries(self, authenticated_client, test_data_manager):
        """测试并发查询用户"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 先创建一些用户
        user_ids = []
        for i in range(10):
            user_data = {
                "username": f"query_user_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"query_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            create_response = await user_api.create_user(user_data)
            if create_response.status_code == 201:
                user_id = create_response.json()["id"]
                user_ids.append(user_id)
                test_data_manager.add_user(user_id)
        
        # 并发查询用户
        tasks = []
        start_time = time.time()
        
        for user_id in user_ids:
            async def query_user(uid):
                try:
                    response = await user_api.get_user_by_id(uid)
                    if response.status_code == 200:
                        return response.json()
                except Exception as e:
                    print(f"查询用户失败: {e}")
                    return None
            
            tasks.append(query_user(user_id))
        
        # 执行并发查询
        results = await asyncio.gather(*tasks, return_exceptions=True)
        end_time = time.time()
        
        # 统计结果
        successful_results = [r for r in results if r is not None]
        failed_count = len(user_ids) - len(successful_results)
        total_time = end_time - start_time
        avg_time = total_time / len(user_ids)
        
        print(f"并发查询用户统计:")
        print(f"  总查询数: {len(user_ids)}")
        print(f"  成功数: {len(successful_results)}")
        print(f"  失败数: {failed_count}")
        print(f"  总耗时: {total_time:.2f}秒")
        print(f"  平均耗时: {avg_time:.2f}秒")
        print(f"  吞吐量: {len(user_ids)/total_time:.2f} 查询/秒")
        
        # 验证所有查询都成功
        assert len(successful_results) == len(user_ids), "部分查询失败"
    
    @pytest.mark.asyncio
    async def test_concurrent_mixed_operations(self, authenticated_client, test_data_manager):
        """测试并发混合操作"""
        user_api = UserAPI(authenticated_client)
        role_api = RoleAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        
        # 创建一些初始数据
        user_ids = []
        for i in range(5):
            user_data = {
                "username": f"mixed_user_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"mixed_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            create_response = await user_api.create_user(user_data)
            if create_response.status_code == 201:
                user_id = create_response.json()["id"]
                user_ids.append(user_id)
                test_data_manager.add_user(user_id)
        
        # 并发执行混合操作
        tasks = []
        start_time = time.time()
        
        # 创建操作
        for i in range(10):
            user_data = {
                "username": f"mixed_create_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"mixed_create_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            async def create_user():
                try:
                    response = await user_api.create_user(user_data)
                    if response.status_code == 201:
                        return response.json()["id"]
                except Exception:
                    return None
            
            tasks.append(create_user())
        
        # 查询操作
        for user_id in user_ids:
            async def query_user(uid):
                try:
                    response = await user_api.get_user_by_id(uid)
                    if response.status_code == 200:
                        return response.json()
                except Exception:
                    return None
            
            tasks.append(query_user(user_id))
        
        # 更新操作
        for i, user_id in enumerate(user_ids):
            async def update_user(uid):
                try:
                    response = await user_api.update_user(
                        uid,
                        {"email": f"updated_{unique_id}_{i}@example.com"}
                    )
                    return response.status_code
                except Exception:
                    return None
            
            tasks.append(update_user(user_id))
        
        # 执行并发操作
        results = await asyncio.gather(*tasks, return_exceptions=True)
        end_time = time.time()
        
        # 统计结果
        successful_results = [r for r in results if r is not None]
        failed_count = len(tasks) - len(successful_results)
        total_time = end_time - start_time
        avg_time = total_time / len(tasks)
        
        print(f"并发混合操作统计:")
        print(f"  总操作数: {len(tasks)}")
        print(f"  成功数: {len(successful_results)}")
        print(f"  失败数: {failed_count}")
        print(f"  总耗时: {total_time:.2f}秒")
        print(f"  平均耗时: {avg_time:.2f}秒")
        print(f"  吞吐量: {len(tasks)/total_time:.2f} 操作/秒")
        
        # 验证至少90%的操作成功
        success_rate = len(successful_results) / len(tasks)
        assert success_rate >= 0.9, f"成功率过低: {success_rate:.2%}"

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_high_concurrency.py::TestHighConcurrency::test_concurrent_user_creation -v -s

Expected: PASS with performance metrics

Step 3: 提交代码

git add api_integration_tests/tests/test_high_concurrency.py
git commit -m "test: add high concurrency performance tests (P2)"

Task 10: 长时间稳定性测试

优先级: P2
预计时间: 2-3天

Files:

Create: api_integration_tests/tests/test_long_term_stability.py
Test: api_integration_tests/tests/test_long_term_stability.py

Step 1: 创建长时间稳定性测试文件

"""
长时间稳定性测试用例
测试系统在长时间运行下的稳定性
"""

import pytest
import time
import asyncio
from statistics import mean, median
from api.user_api import UserAPI
from api.role_api import RoleAPI


@pytest.mark.performance
@pytest.mark.stability
class TestLongTermStability:
    """长时间稳定性测试类"""
    
    @pytest.mark.asyncio
    async def test_extended_operation_stability(self, authenticated_client, test_data_manager):
        """测试长时间操作稳定性"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        duration = 300  # 5分钟
        interval = 10    # 每10秒执行一次操作
        
        start_time = time.time()
        operation_count = 0
        success_count = 0
        failure_count = 0
        response_times = []
        
        while (time.time() - start_time) < duration:
            operation_start = time.time()
            
            # 执行用户查询操作
            try:
                response = await user_api.get_all_users()
                operation_end = time.time()
                
                if response.status_code == 200:
                    success_count += 1
                    response_times.append(operation_end - operation_start)
                else:
                    failure_count += 1
                    
            except Exception as e:
                failure_count += 1
                print(f"操作失败: {e}")
            
            operation_count += 1
            await asyncio.sleep(interval)
        
        # 统计结果
        total_time = time.time() - start_time
        avg_response_time = mean(response_times) if response_times else 0
        max_response_time = max(response_times) if response_times else 0
        min_response_time = min(response_times) if response_times else 0
        
        print(f"长时间稳定性测试统计:")
        print(f"  测试时长: {total_time:.2f}秒")
        print(f"  总操作数: {operation_count}")
        print(f"  成功数: {success_count}")
        print(f"  失败数: {failure_count}")
        print(f"  成功率: {success_count/operation_count:.2%}")
        print(f"  平均响应时间: {avg_response_time:.3f}秒")
        print(f"  最大响应时间: {max_response_time:.3f}秒")
        print(f"  最小响应时间: {min_response_time:.3f}秒")
        print(f"  操作频率: {operation_count/total_time:.2f} 操作/秒")
        
        # 验证稳定性
        success_rate = success_count / operation_count
        assert success_rate >= 0.95, f"成功率过低: {success_rate:.2%}"
        assert avg_response_time < 2.0, f"平均响应时间过长: {avg_response_time:.3f}秒"
    
    @pytest.mark.asyncio
    async def test_memory_leak_detection(self, authenticated_client, test_data_manager):
        """测试内存泄漏检测"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        iterations = 100
        
        # 记录初始状态
        initial_users = await user_api.get_all_users()
        initial_count = len(initial_users.json())
        
        # 执行多次操作
        user_ids = []
        for i in range(iterations):
            user_data = {
                "username": f"memory_test_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"memory_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            create_response = await user_api.create_user(user_data)
            if create_response.status_code == 201:
                user_id = create_response.json()["id"]
                user_ids.append(user_id)
                test_data_manager.add_user(user_id)
            
            # 每隔10次检查一次状态
            if (i + 1) % 10 == 0:
                current_users = await user_api.get_all_users()
                current_count = len(current_users.json())
                expected_count = initial_count + len(user_ids)
                
                print(f"迭代 {i+1}/{iterations}: 用户数 {current_count}, 预期 {expected_count}")
                
                # 验证数据一致性
                assert current_count == expected_count, f"数据不一致: {current_count} != {expected_count}"
        
        # 清理
        for user_id in user_ids:
            try:
                await user_api.delete_user(user_id)
            except Exception:
                pass
    
    @pytest.mark.asyncio
    async def test_connection_pool_stability(self, authenticated_client, test_data_manager):
        """测试连接池稳定性"""
        user_api = UserAPI(authenticated_client)
        
        unique_id = f"{int(time.time() * 1000)}"
        iterations = 50
        
        # 执行多次数据库操作
        for i in range(iterations):
            # 创建用户
            user_data = {
                "username": f"pool_test_{unique_id}_{i}",
                "password": "Test123!@#",
                "email": f"pool_{unique_id}_{i}@example.com",
                "status": 1
            }
            
            create_response = await user_api.create_user(user_data)
            if create_response.status_code == 201:
                user_id = create_response.json()["id"]
                test_data_manager.add_user(user_id)
                
                # 查询用户
                get_response = await user_api.get_user_by_id(user_id)
                assert get_response.status_code == 200
                
                # 更新用户
                update_response = await user_api.update_user(
                    user_id,
                    {"email": f"updated_{unique_id}_{i}@example.com"}
                )
                assert update_response.status_code == 200
                
                # 删除用户
                delete_response = await user_api.delete_user(user_id)
                assert delete_response.status_code == 204
                
                test_data_manager._users.remove(user_id)
            
            print(f"完成迭代 {i+1}/{iterations}")
        
        print(f"连接池稳定性测试完成，共执行 {iterations} 次完整操作")

Step 2: 运行测试验证通过

cd api_integration_tests
pytest tests/test_long_term_stability.py::TestLongTermStability::test_extended_operation_stability -v -s

Expected: PASS with stability metrics

Step 3: 提交代码

git add api_integration_tests/tests/test_long_term_stability.py
git commit -m "test: add long term stability tests (P2)"

📊 实施总结

预期成果

通过实施本计划，预期达到以下目标：

测试覆盖率提升:
- API测试覆盖率：13% → 50%
- 前端测试覆盖率：20% → 40%
- E2E测试通过率：14% → 80%
测试质量提升:
- 关键业务流程测试：100%覆盖
- 异常场景测试：75%覆盖
- 性能测试：60%覆盖
- 边界条件测试：70%覆盖
- 安全测试：85%覆盖
测试体系完善:
- 建立完整的测试分层体系
- 实现测试数据管理自动化
- 建立测试报告和监控机制

风险和缓解措施

测试环境稳定性:
- 风险：测试环境不稳定影响测试执行
- 缓解：建立测试环境监控，及时发现问题
测试数据管理:
- 风险：测试数据清理不彻底导致污染
- 缓解：完善测试数据管理工具，自动清理
测试执行时间:
- 风险：测试用例数量增加导致执行时间过长
- 缓解：实现测试并行执行，优化测试用例

下一步行动

计划完成后的下一步:

执行本计划中的所有测试用例
分析测试结果，识别需要修复的问题
根据测试结果优化系统代码
建立持续集成测试流水线
定期回顾和更新测试策略

计划完成并保存到 docs/plans/2026-03-26-test-case-supplementation.md

执行选项：

1. Subagent-Driven (this session) - 我会在当前会话中为每个任务分派新的子代理，任务之间进行代码审查，快速迭代

2. Parallel Session (separate) - 指导您在工作树中打开新会话，新会话使用 executing-plans skill 进行批量执行和检查点

您希望选择哪种执行方式？

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测试用例补充实施计划

📋 实施概述

🎯 P0阶段：关键业务流程测试

Task 1: 分布式事务一致性测试

Task 2: 数据恢复和备份测试

Task 3: 系统升级迁移测试

Task 4: 灾难恢复测试

🚨 P1阶段：异常场景测试

Task 5: 网络中断恢复测试

Task 6: 数据库连接失败测试

Task 7: 服务降级测试

Task 8: 第三方服务超时测试

⚡ P2阶段：性能测试

Task 9: 高并发压力测试

Task 10: 长时间稳定性测试

📊 实施总结

预期成果

风险和缓解措施

下一步行动

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