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.