Knowledge Graph FAQs

Question 1

Which programming languages and frameworks does it support?

Accepted Answer

Currently, Knowledge Graph supports Python Flask/Flask-RESTx for API source analysis, Java Serenity BDD for test-to-entity call chain analysis, and HOCON for configuration key-to-URL endpoint mapping.

Question 2

Is Knowledge Graph extensible to new languages or frameworks?

Accepted Answer

Yes, Knowledge Graph is designed with extensibility in mind. Its modular architecture allows for the easy integration of new parsers for other languages and frameworks, such as TypeScript (Express/NestJS), Go (Gin/Echo), C# (ASP.NET), and more.

Question 3

What types of queries can I perform with Knowledge Graph?

Accepted Answer

You can perform queries like building a graph for a workspace, analyzing the impact of a function/endpoint change, listing all Flask API endpoints, finding all callers to a specific API URL, and checking the graph's current status.

Question 4

How does Knowledge Graph help in managing code changes?

Accepted Answer

It provides comprehensive API impact analysis by performing BFS traversal on the knowledge graph. This allows developers to quickly identify all files, functions, and tests that might be affected by a change to a specific API endpoint, streamlining maintenance and reducing risks.

Question 5

What is Knowledge Graph (KG Multi-Project) and its primary function?

Accepted Answer

Knowledge Graph (KG Multi-Project) is a developer tool that analyzes cross-project API impact within multi-project workspaces. It builds a knowledge graph from your source code to answer AI client queries, such as 'If I modify this API, what files are affected?'

Knowledge Graph

Knowledge Graph

Características Principales

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Características Principales

Casos de Uso