Refactored Python Scripts for Code Analysis

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📅 2025-02-18 — Session: Refactored Python Scripts for Code Analysis

🕒 22:00–23:50
🏷️ Labels: Python, AST, CFG, Code Analysis, Refactoring
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance Python scripts for code analysis, focusing on generating Abstract Syntax Trees (ASTs) and Control Flow Graphs (CFGs) from Python files, optimizing them for use with Language Learning Models (LLMs), and resolving import and execution issues.

Key Activities

  • Discussed AI models for code analysis and their feature extraction capabilities.
  • Explored Abstract Syntax Trees (ASTs) and Control Flow Graphs (CFGs) for static analysis and code understanding.
  • Implemented Python scripts for AST and CFG generation, including batch processing capabilities.
  • Addressed conflicts with Python’s built-in ast module and provided solutions for ImportError related to CFGBuilder from pycfg.
  • Suggested alternatives for CFG generation using pyflowchart, networkx, and LLVM/Clang.
  • Improved code structure representation for LLMs, optimizing AST for token efficiency.
  • Enhanced function metadata extraction in Python and suggested improvements for code structure and execution flow.
  • Developed a refactoring plan for organizing Python scripts into modular subsystems.

Achievements

  • Successfully implemented and tested Python scripts for AST and CFG extraction.
  • Resolved import conflicts and improved metadata extraction functions.
  • Developed a high-level refactoring plan for better code organization and scalability.

Pending Tasks

  • Further testing of the refactored scripts in different environments.
  • Implementation of suggested improvements for code structure and execution flow.

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