Extending
SymbolGraphto support more types of relationships like inheritance and usage is feasible and indeed very useful. This would involve adding additional logic to detect and represent these relationships in the underlying data structures. The complexity would depend on various factors such as the specifics of the file format and programming language(s) being analyzed. It’s important to note however, that supporting such relationships may increase memory usage and computation time, and therefore it is important to optimize the representations and processing algorithms.Currently,
automatadoesn’t support the generation of the index file. This is a valid suggestion and could potentially add significantly to the usefulness ofSymbolGraph. Including this functionality directly inautomatacould help users create and manipulateSymbolGraphobjects without needing to interact with external tools. This could be implemented as a new feature request if it aligns with the library’s overall goals and design philosophy.Performance is a key concern when working with large codebases. As the number of symbols and relationships increases, so does the complexity and memory usage of the graph. It’s hard to provide specific numbers without implementation details and benchmarks, but in principle, handling millions of symbols and relationships would require efficient graph algorithms and data structures, and might necessitate the use of techniques such as graph pruning or partitioning.
Furthermore, performance doesn’t depend only on the number of symbols and relationships. The kinds of operations performed on the graph (e.g. query speed, update speed), the types of relationships considered, and the density of the graph also play a role.
Overall, this reinforces the need for continued care in the design and implementation of
SymbolGraphto strike the right balance between expressive power and scalability. Design decisions and optimizations would need to be carefully considered to cater to the varying needs of different users.