arch-lens-repository-access

You can visualize repository patterns by mapping repository methods, entity relationships, and query flows to a readable Mermaid diagram. This approach clarifies read and write data paths across callers, factories, repositories, adapters, and databases without altering business logic.

Documenting entity relationships and query patterns involves mapping 1:N and N:N associations alongside repository methods to outline data flows. This clarifies conversion boundaries and storage mappings, making complex data access architectures easier to understand.

Yes, you can generate a Mermaid diagram specification that illustrates storage, adapters, and repositories. The diagram maps read and write directions and usage patterns across data access layers to visually document the architecture.

You can map data access by analyzing the codebase context to trace repository methods and conversion boundaries. This outlines how callers interact with factories and adapters down to databases, visualizing the architecture without touching underlying business logic.

Yes, this approach works for data-centric architectures by explicitly outlining read and write directions for repository methods. It documents how data flows through query patterns and storage mappings, satisfying the need for clear data access visibility.

You need a repository access diagram when understanding data access across a codebase becomes challenging. It maps query flows and entity relationships to make data paths clear, which is essential for maintaining complex data-centric software architectures.