Refactored CLI tools for enhanced log processing

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📅 2025-05-10 — Session: Refactored CLI tools for enhanced log processing

🕒 18:15–19:15
🏷️ Labels: CLI, Python, Refactoring, Automation, Scripting
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance and refactor existing CLI tools and scripts for processing GPT chat logs, focusing on efficiency, modularity, and flexibility.

Key Activities

  • Enhanced the main() function of a CLI tool to include a hash check mechanism, ensuring it runs only when new data is detected, thus improving efficiency.
  • Refactored a PromptFlow batch script to improve its CLI flexibility and reusability, adding a robust structure.
  • Developed a general-purpose CLI tool for merging JSONL logs, designed for flexibility with date ranges and directory paths.
  • Proposed a modular refactor for a script to improve configuration separation and execution, including date filtering and dry-run capabilities.
  • Created a scaffold for a CLI parser in embed_daily_logs.py, designed to embed logs into ChromaDB with metadata tracking.
  • Transitioned the main() function to a CLI-based approach with dynamic configuration handling and new features like date filtering.
  • Outlined a dependency map for functions required by the main function in a Python script.
  • Refactored the embed_all_logs(...) function to support new command-line arguments, enhance logging, and error handling.
  • Cleaned up imports in embed_daily_logs.py for better organization and removal of duplicates.
  • Transitioned configurations to use argparse for parameterized setup in the PersistentMemoryManager class.
  • Conducted a review of CLI pipeline methods, focusing on correctness and robustness.
  • Designed and implemented run_all_daily.py, an orchestration script for daily log processing.

Achievements

  • Successfully refactored multiple scripts and CLI tools, enhancing their modularity, efficiency, and flexibility.
  • Improved the robustness and future-proofing of the CLI pipeline methods.

Pending Tasks

  • Further testing and validation of the new CLI tools and scripts in a live environment to ensure reliability and performance.
  • Additional documentation for the new features and refactored components to aid future development and maintenance.

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