AgentSkillsCN

test-data-generation

提供使用工厂库生成测试数据的模式和示例。当需要为应用程序创建真实且可维护的测试数据时使用此技能。涵盖工厂模式（例如 Python 的 Factory Boy、JavaScript 的 Polly.js），处理模型之间的关系，使用 trait 进行数据变化，生成唯一值的序列，以及清理策略。当涉及测试固定装置、测试数据种子或工厂实现的任务时触发此技能。

SKILL.md
--- frontmatter
name: test-data-generation
description: "Provides patterns and examples for generating test data using factory libraries. Use this skill when you need to create realistic and maintainable test data for your application. It covers factory patterns (e.g., Factory Boy for Python, Polly.js for JavaScript), handling relationships between models, using traits for data variations, sequence generation for unique values, and cleanup strategies. Trigger this skill for tasks involving test fixtures, data seeding for tests, or factory implementation."

Test Data Generation

Overview

This skill provides guidance and reusable patterns for creating robust and maintainable test data using factory libraries. It focuses on common patterns used in modern testing workflows, with examples primarily for Python (using factory_boy) and JavaScript (using polly.js).

Following these patterns helps create tests that are easier to read, write, and maintain.

Core Concepts

The main workflow is to define factories for your data models and then use them in your tests to create instances of those models.

This skill is organized by topic. Refer to the relevant document for detailed patterns and examples.

1. Basic Factory and Trait Patterns

For defining basic factories and creating variations using traits (e.g., an active user vs. a suspended user). This is the best place to start.

See references/factory-patterns.md for detailed examples.

2. Handling Relationships

For creating data with relationships, such as a user who has many posts, or posts that belong to a category (one-to-many, many-to-one, many-to-many).

See references/relationship-patterns.md for detailed examples.

3. Unique Values and Realistic Data

For ensuring data uniqueness using sequences and for generating realistic-looking data (names, emails, addresses) using Faker.

See references/sequence-and-faker.md for detailed examples.

4. Persistence Strategies

For understanding the difference between in-memory object generation and creating records in a test database.

See references/persistence.md for detailed examples.

5. Data Cleanup

For strategies on how to clean up test data between test runs to ensure test isolation.

See references/cleanup.md for detailed examples.