Refactored and Optimized JSON Export Functions

📅 2023-10-02 — Session: Refactored and Optimized JSON Export Functions

🕒 19:35–20:40
🏷️ Labels: Python, JSON, Data Processing, Optimization
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to address issues with JSON export functions, improve data processing efficiency, and enhance modularity in Python scripts.

Key Activities:

1. Fixing JSON Export Function Issues: Addressed problems with empty dictionaries and duplicate keys in the JSON export function.
2. JSON Data Processing for Quarterly Reports: Developed a structured approach to process quarterly data and merge JSON structures, ensuring no duplicates.
3. Data Processing Structure and Efficiency: Improved workflow efficiency by emphasizing unique filenames and nested loops for multiple datasets.
4. Filename Generation for JSON Export: Suggested solutions for unique filenames to prevent overwriting.
5. Hierarchical Data Merging in Python: Implemented a two-step process for generating and merging hierarchical data structures.
6. Optimized JSON Merging Function: Enhanced the merge_jsons function to append new data while preserving existing entries.
7. Refactored Function for Hierarchical JSON Export: Enhanced modularity by separating data processing from file I/O operations.
8. Modification of merge_jsons Function: Improved data integration by merging Q-values directly into existing structures.
9. Adding Status Updates to Data Processing Script: Included print statements for better visibility and debugging.

Achievements: Successfully refactored and optimized the JSON export functions, improved data processing workflows, and enhanced script modularity and debugging capabilities.

Pending Tasks: None identified; the session objectives were completed.