Preeti
Creating Hibernate Entities for large database schemas can be time-consuming due to the effort required to write code for each entity, match it with the database schema, and create configuration files. This process involves understanding database tables, columns, data types, creating a project with pom.xml, writing Java code, and configuring Hibernate.
To simplify this process, the author used LLM to automate the creation of Hibernate entities. They utilized OpenAI as the LLM, Mistral AI’s codestral model for code generation, LangGraph for agent workflow execution, and SQLAlchemy to access the database schema. By employing these tools, the author successfully generated Hibernate code for multiple entities, compiled the project using Maven, and accessed data from the database tables.
The approach involved creating a Maven project with dependencies, writing Java code and configuration files, building the project, and generating documentation. Tools like get_schema, create_hibernate_code, create_hibernate_config, save-file, and run_maven_command were used to automate various steps in the process. Additionally, an AgentState class and Agent were implemented to tie all the components together, and output parsers were used to extract Java and XML code from LLM calls.
The generated Java code and Python scripts for this process can be found on GitHub. The author noted that the App.java code was modified for testing purposes to retrieve data from entities and print Customer objects.
Source link
Source link: https://medium.com/@dheeraj.r.hegde/creating-hibernate-code-from-database-schema-88a950be6dbb?source=rss——openai-5
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