Enhanced JSON Export and Merge Functions in Python

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📅 2023-10-03 — Session: Enhanced JSON Export and Merge Functions in Python

🕒 21:45–22:50
🏷️ Labels: Python, JSON, Data Processing, Time Series, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance and redesign JSON export and merge functions for handling hierarchical data structures in Python, particularly focusing on time series data.

Key Activities

  • Design Approaches for Data Structuring: Explored four methods for structuring data related to poverty metrics, discussing their pros and cons.
  • Data Access for Time Series: Implemented Python code snippets to extract time series data from JSON structures.
  • Redesign of JSON Export Functions: Redesigned exportar_a_json_jerarquico and merge_jsons functions to create hierarchical JSON structures.
  • Incorporating Metadata: Updated the exportar_a_json_jerarquico function to include metadata fields such as last_updated, frecuencia, and frac.
  • Hierarchical JSON Structure Function: Developed a function to convert a DataFrame into a hierarchical JSON structure.
  • Fixing Data Overwrite Issues: Revised the merge_jsons function to prevent data overwriting during JSON merging.
  • Verbose Logging: Added print statements to the merge_jsons function for enhanced debugging.

Achievements

  • Successfully redesigned and implemented enhanced JSON export and merge functions.
  • Improved data handling by incorporating metadata and fixing data overwrite issues.

Pending Tasks

  • Further testing and validation of the enhanced functions to ensure robustness in diverse data scenarios.
  • Explore additional logging mechanisms for better traceability.

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