Enhanced Hierarchical JSON Export Function with Error Handling

📅 2023-10-02 — Session: Enhanced Hierarchical JSON Export Function with Error Handling

🕒 16:00–16:45
🏷️ Labels: JSON, Python, Data Export, Error Handling, Hierarchical Data
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to enhance the exportar_a_json_jerarquico function to improve data export efficiency and error handling in JSON structures.

Key Activities:

• Developed a guide for time series analysis on poverty in Argentina using Python and pandas.
• Explored data efficiency strategies like normalization, compression, and indexation.
• Implemented a Python script to analyze JSON files, extracting unique values and maximums.
• Proposed improvements for JSON data structure for better storage efficiency.
• Modified the exportar_a_json function to create a hierarchical JSON structure, including handling time series data.
• Adapted the JSON structure to include metadata for timestamps.
• Addressed error handling in JSON data structures, particularly for serialization issues with timestamps.

Achievements:

• Successfully modified the exportar_a_json_jerarquico function to support hierarchical data organization and metadata management.
• Enhanced error handling by converting timestamp objects to ISO string format for JSON serialization.

Pending Tasks:

• Further testing of the modified function to ensure robustness and efficiency.
• Explore additional data management strategies to optimize JSON storage.