数据库迁移
- 作者仓库星标 1,012
- 叉子 98
- 作者更新于 2026年4月16日 02:05
- 作者仓库 dotnet-skills
- 领域
- AI 智能
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @Aaronontheweb · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 需手动接入
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- Linux · Docker
- 底层运行要求
- Docker
- 文件与系统权限
-
- 只读
- Shell 执行
- 允许写入 / 修改
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: testcontainers-integration-tests
description: Write integration tests using TestContainers for .NET with xUnit. Covers infrastructure testing…
category: AI 智能
runtime: Docker
---
# testcontainers-integration-tests 输出预览
## PART A: 任务判断
- 适用问题:提示词、Agent 工作流、模型评估或自动化推理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“When to Use This Skill / Reference Files / Core Principles”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于提示词、Agent 工作流、模型评估或自动化推理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“When to Use This Skill / Reference Files / Core Principles”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、执行终端命令、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、执行终端命令、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、执行终端命令、写入/修改文件。
先用一个小任务确认它会围绕“When to Use This Skill / Reference Files / Core Principles”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: testcontainers-integration-tests
description: Write integration tests using TestContainers for .NET with xUnit. Covers infrastructure testing…
category: AI 智能
source: Aaronontheweb/dotnet-skills
---
# testcontainers-integration-tests
## 什么时候使用
- 用真实基础设施替代 Mock 编写 适合处理AI Agent、提示词、模型评估与自动化推理,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤;通常不需要额外…
- 面向提示词、Agent 工作流、模型评估或自动化推理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「When to Use This Skill / Reference Files / Core Principles」组织步骤,不把推断写成作者事实。
- 读取文件、执行终端命令、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "testcontainers-integration-tests" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> When to Use This Skill / Reference Files / Core Principles
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Docker | 读取文件、执行终端命令、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Integration Testing with TestContainers
When to Use This Skill
Use this skill when:
- Writing integration tests that need real infrastructure (databases, caches, message queues)
- Testing data access layers against actual databases
- Verifying message queue integrations
- Testing Redis caching behavior
- Avoiding mocks for infrastructure components
- Ensuring tests work against production-like environments
- Testing database migrations and schema changes
Reference Files
- database-patterns.md: SQL Server, PostgreSQL, and migration testing examples
- infrastructure-patterns.md: Redis, RabbitMQ, multi-container networks, container reuse, and Respawn
Core Principles
- Real Infrastructure Over Mocks - Use actual databases/services in containers, not mocks
- Test Isolation - Each test gets fresh containers or fresh data
- Automatic Cleanup - TestContainers handles container lifecycle and cleanup
- Fast Startup - Reuse containers across tests in the same class when appropriate
- CI/CD Compatible - Works seamlessly in Docker-enabled CI environments
- Port Randomization - Containers use random ports to avoid conflicts
Why TestContainers Over Mocks?
The Problem with Mocking Infrastructure
// BAD: Mocking a database
public class OrderRepositoryTests
{
private readonly Mock<IDbConnection> _mockDb = new();
[Fact]
public async Task GetOrder_ReturnsOrder()
{
// This doesn't test real SQL behavior, constraints, or performance
_mockDb.Setup(db => db.QueryAsync<Order>(It.IsAny<string>()))
.ReturnsAsync(new[] { new Order { Id = 1 } });
var repo = new OrderRepository(_mockDb.Object);
var order = await repo.GetOrderAsync(1);
Assert.NotNull(order);
}
}
Problems: doesn't test actual SQL queries, misses constraints/indexes, gives false confidence, doesn't catch SQL syntax errors.
Better: TestContainers with Real Database
// GOOD: Testing against a real database
public class OrderRepositoryTests : IAsyncLifetime
{
private readonly TestcontainersContainer _dbContainer;
private IDbConnection _connection;
public OrderRepositoryTests()
{
_dbContainer = new TestcontainersBuilder<TestcontainersContainer>()
.WithImage("mcr.microsoft.com/mssql/server:2022-latest")
.WithEnvironment("ACCEPT_EULA", "Y")
.WithEnvironment("SA_PASSWORD", "Your_password123")
.WithPortBinding(1433, true)
.Build();
}
public async Task InitializeAsync()
{
await _dbContainer.StartAsync();
var port = _dbContainer.GetMappedPublicPort(1433);
var connectionString = $"Server=localhost,{port};Database=TestDb;User Id=sa;Password=Your_password123;TrustServerCertificate=true";
_connection = new SqlConnection(connectionString);
await _connection.OpenAsync();
await RunMigrationsAsync(_connection);
}
public async Task DisposeAsync()
{
await _connection.DisposeAsync();
await _dbContainer.DisposeAsync();
}
[Fact]
public async Task GetOrder_WithRealDatabase_ReturnsOrder()
{
await _connection.ExecuteAsync(
"INSERT INTO Orders (Id, CustomerId, Total) VALUES (1, 'CUST1', 100.00)");
var repo = new OrderRepository(_connection);
var order = await repo.GetOrderAsync(1);
Assert.NotNull(order);
Assert.Equal("CUST1", order.CustomerId);
Assert.Equal(100.00m, order.Total);
}
}
See database-patterns.md for complete SQL Server, PostgreSQL, and migration testing examples.
See infrastructure-patterns.md for Redis, RabbitMQ, multi-container networks, container reuse, and Respawn database reset patterns.
Required NuGet Packages
<ItemGroup>
<PackageReference Include="Testcontainers" Version="*" />
<PackageReference Include="xunit" Version="*" />
<PackageReference Include="xunit.runner.visualstudio" Version="*" />
<!-- Database-specific packages -->
<PackageReference Include="Microsoft.Data.SqlClient" Version="*" />
<PackageReference Include="Npgsql" Version="*" /> <!-- For PostgreSQL -->
<PackageReference Include="MySqlConnector" Version="*" /> <!-- For MySQL -->
<!-- Other infrastructure -->
<PackageReference Include="StackExchange.Redis" Version="*" /> <!-- For Redis -->
<PackageReference Include="RabbitMQ.Client" Version="*" /> <!-- For RabbitMQ -->
</ItemGroup>
Best Practices
- Always Use IAsyncLifetime - Proper async setup and teardown
- Wait for Port Availability - Use
WaitStrategyto ensure containers are ready - Use Random Ports - Let TestContainers assign ports automatically
- Clean Data Between Tests - Either use fresh containers or truncate tables
- Reuse Containers When Possible - Faster than creating new ones for each test
- Test Real Queries - Don't just test mocks; verify actual SQL behavior
- Verify Constraints - Test foreign keys, unique constraints, indexes
- Test Transactions - Verify rollback and commit behavior
- Use Realistic Data - Test with production-like data volumes
- Handle Cleanup - Always dispose containers in
DisposeAsync
Common Issues and Solutions
Container Startup Timeout
_container = new TestcontainersBuilder<TestcontainersContainer>()
.WithImage("postgres:latest")
.WithWaitStrategy(Wait.ForUnixContainer()
.UntilPortIsAvailable(5432)
.WithTimeout(TimeSpan.FromMinutes(2)))
.Build();
Port Already in Use
Always use random port mapping:
.WithPortBinding(5432, true) // true = assign random public port
Containers Not Cleaning Up
Ensure proper disposal:
public async Task DisposeAsync()
{
await _connection?.DisposeAsync();
await _container?.DisposeAsync();
}
Tests Fail in CI But Pass Locally
Ensure CI has Docker support:
# GitHub Actions
runs-on: ubuntu-latest # Has Docker pre-installed
CI/CD Integration
GitHub Actions
name: Integration Tests
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Setup .NET
uses: actions/setup-dotnet@v3
with:
dotnet-version: 9.0.x
- name: Run Integration Tests
run: |
dotnet test tests/YourApp.IntegrationTests \
--filter Category=Integration \
--logger trx
- name: Cleanup Containers
if: always()
run: docker container prune -f
Performance Tips
- Reuse containers - Share fixtures across tests in a collection
- Use Respawn - Reset data without recreating containers
- Parallel execution - TestContainers handles port conflicts automatically
- Use lightweight images - Alpine versions are smaller and faster
- Cache images - Docker will cache pulled images locally
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核