Enhanced JSON handling for hierarchical data

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Enhanced JSON handling for hierarchical data

  • Day: 2023-10-03
  • Time: 21:45 to 22:50
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: JSON, Python, Data Processing, Time Series, Debugging

Description

Session Goal

The session aimed to enhance the handling of JSON data structures, focusing on hierarchical data and time series extraction.

Key Activities

  • Design Approaches for Data Structuring: Discussed four design methods for structuring data related to poverty metrics, evaluating their pros and cons.
  • Data Access Approaches: Explored four methods to access time series data from a JSON structure using Python, specifically for department ‘D1’.
  • Redesign of JSON Export Functions: Redesigned the exportar_a_json_jerarquico and merge_jsons functions to create hierarchical JSON structures for compressed time series data.
  • Incorporation of Metadata: Updated the exportar_a_json_jerarquico function to include metadata fields like last_updated, frecuencia, and frac.
  • Function to Merge JSON Structures: Developed a function to merge JSON structures, preserving existing data and appending new entries.
  • Verbose Logging: Implemented logging in the merge_jsons function to aid debugging.

Achievements

  • Successfully redesigned and implemented functions for exporting and merging hierarchical JSON structures.
  • Enhanced JSON functions with metadata incorporation and improved debugging capabilities.

Pending Tasks

  • Further testing and validation of the JSON functions in diverse data scenarios to ensure robustness and accuracy.

Evidence

  • source_file=2023-10-03.sessions.jsonl, line_number=0, event_count=0, session_id=6dd1eaf8807ec707439aea674345927c1e029a58e9ff3421a5f98bb63d776450
  • event_ids: []

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