Description
In this episode, learners will discover how to create custom fixtures in Sylius — automated data sets that populate the database with realistic sample records. Using the Brand entity as an example, we walk through the process of building a fixture class and a data factory that generates varied, structured, and development-ready data.
With the help of the Faker library, you can generate randomized brand names and attributes to mimic a production-like environment. The fixture is flexibly configured: only the brand name is required, while other attributes such as code or type are automatically generated.
We also cover how to organize fixtures into suits, allowing developers to load only specific data sets (e.g. brands-only vs. full e-commerce setup). This gives teams the agility to test or demo specific areas of the system with minimal setup.
