Refactored ChunkProcessor and ChunkEnricher into ChunkHandler

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📅 2025-02-07 — Session: Refactored ChunkProcessor and ChunkEnricher into ChunkHandler

🕒 18:55–19:35
🏷️ Labels: Refactoring, Ai Integration, Class Design, Dynamic Function Calls, Json Schemas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to refactor existing classes to improve modularity and maintainability, and to enhance system flexibility and scalability through dynamic function calls.

Key Activities

  • Refactored ChunkProcessor and ChunkEnricher classes into a unified ChunkHandler class.
  • Implemented dynamic AI querying and modular function calls to allow customizable AI interactions.
  • Developed tailored prompts for economic research functions, focusing on summarizing research papers, generating questions, and retrieving case studies.
  • Created JSON schemas for structured question generation and case study retrieval.

Achievements

  • Successfully refactored classes to create a more maintainable and modular codebase.
  • Enhanced the system’s flexibility and scalability with dynamic function calls.
  • Developed comprehensive prompts and schemas to support economic research and educational content.

Pending Tasks

  • Further testing and integration of the new ChunkHandler class in production.
  • Validation of the JSON schemas in live environments.

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