跳至主要内容

测试自动化

针对文件的单元测试编写指令。

注意

  • 本库中的示例旨在提供灵感——我们鼓励您根据自己的项目、语言和团队流程进行更具体的调整。
  • 欲查看社区贡献的针对特定语言和场景的自定义指令示例,请参阅 超赞的 GitHub Copilot 定制 仓库。
  • 您可以根据创建自定义指令的平台或 IDE,在不同范围内应用它们。如需了解更多信息,请参阅“关于定制 GitHub Copilot 响应”。

此示例展示了一个路径特定的 python-tests.instructions.md 文件,该文件仅适用于仓库中的 Python 测试文件,使用 applyTo 字段。有关路径特定指令文件的更多信息,请参阅 为 GitHub Copilot 添加仓库自定义指令

Text
---
applyTo: "tests/**/*.py"
---

When writing Python tests:

## Test Structure Essentials
- Use pytest as the primary testing framework
- Follow AAA pattern: Arrange, Act, Assert
- Write descriptive test names that explain the behavior being tested
- Keep tests focused on one specific behavior

## Key Testing Practices
- Use pytest fixtures for setup and teardown
- Mock external dependencies (databases, APIs, file operations)
- Use parameterized tests for testing multiple similar scenarios
- Test edge cases and error conditions, not just happy paths

## Example Test Pattern
```python
import pytest
from unittest.mock import Mock, patch

class TestUserService:
    @pytest.fixture
    def user_service(self):
        return UserService()

    @pytest.mark.parametrize("invalid_email", ["", "invalid", "@test.com"])
    def test_should_reject_invalid_emails(self, user_service, invalid_email):
        with pytest.raises(ValueError, match="Invalid email"):
            user_service.create_user({"email": invalid_email})

    @patch('src.user_service.email_validator')
    def test_should_handle_validation_failure(self, mock_validator, user_service):
        mock_validator.validate.side_effect = ConnectionError()

        with pytest.raises(ConnectionError):
            user_service.create_user({"email": "test@example.com"})
```
© . This site is unofficial and not affiliated with GitHub, Inc.