book-lamp-development

Separate pure business logic from effectful I/O by isolating side effects within adapters or edge functions, keeping the service layer deterministic. This clean architecture approach ensures business rules remain testable and independent of external systems like Google Sheets.

A layered architecture for Google Sheets storage separates concerns across Models, Adapters, Service Layer, and Entry Points. You implement the storage pathway within the persistence adapter layer, injecting dependencies to maintain clean separation and testability.

Use dependency injection to pass persistence adapters into the service layer at the entry points, rather than instantiating them inside. This pattern keeps the service layer decoupled from specific data sources, allowing seamless Google Sheets adapter substitution.

Follow frontend coding standards by separating CSS and JavaScript with structured templating, and write documentation using British English docstrings. These standards ensure consistent project governance and maintainable code across the application.

Yes, this development approach suits software engineering teams building and evolving applications with multiple storage pathways. The layered architecture and dependency injection principles allow teams to add new data sources without disrupting existing business logic.

Service layer code breaks when storage implementation changes if dependency injection is not properly applied. Ensure the service layer depends on adapter interfaces rather than concrete Google Sheets implementations to maintain clean architecture separation.