sfcc-sfra-models

Structure SFRA models using decorators, factories, and composite patterns to transform SFCC API data into JSON-ready objects. This approach enforces consistent data transformation, promotes code reuse, and keeps model logic maintainable across product, cart, and account domains.

Extend base SFRA models safely by applying decorator patterns that add custom attributes and business rules without replacing core SFCC logic. This composition approach preserves base functionality while allowing domain-specific extensions for scalable storefront architectures.

Yes, decorator patterns apply to SFRA product, cart, account, and other domains. They wrap base SFCC API objects to add computed attributes, format fields, and enforce business rules, producing consistent JSON-ready outputs across multiple storefront model types.

Scaffold a new SFRA model by defining a factory that instantiates the correct model type based on SFCC API input. The factory applies relevant decorators and composition logic, transforming raw SFCC data into structured, JSON-ready objects with consistent attribute mapping.

Follow SFRA model best practices by validating decorator outputs, profiling transformation performance, and isolating business logic for unit testing. Enforce security checks on SFCC API inputs and ensure JSON-ready outputs are consistent and maintainable across model extensions.