Developed JSON Data Processing and Artifact Management

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Developed JSON Data Processing and Artifact Management

  • Day: 2025-12-30
  • Time: 15:55 to 16:15
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: JSON, Data Ingestion, Artifact Management, Python, Debugging

Description

Session Goal

The session aimed to enhance data processing capabilities by loading JSON data, inspecting data structures, and planning an artifact management system.

Key Activities

  • JSON Data Loading: Implemented a script to load JSON data from specified file paths, facilitating data ingestion and processing.
  • Data Structure Inspection: Analyzed keys from ‘manifest.json’ and ‘ingest_manifest.json’ to understand partitions, aggregates, outputs, and modes.
  • Artifact Management Planning: Developed a plan for managing data artifacts, including naming conventions and directory structures to optimize workflow.
  • Python Project Architecture: Established a concrete architecture for a Python project, detailing filesystem layout, Makefile targets, and stage entry points.
  • Debugging Reports Script: Addressed issues in the ‘reports.py’ script, focusing on argument parsing and identifying a bug in the summary_paths variable.
  • Ingest Manifest Queries: Formulated queries regarding the ingestion of manifest JSON files, focusing on input hash and schema columns.

Achievements

  • Successfully loaded and inspected JSON data structures.
  • Outlined a comprehensive plan for artifact management.
  • Defined a structured architecture for Python project development.

Pending Tasks

  • Further debugging of the ‘reports.py’ script to resolve identified issues.
  • Implementation of the artifact management system as per the outlined plan.

Evidence

  • source_file=2025-12-30.sessions.jsonl, line_number=6, event_count=0, session_id=6ccdb9de8b4335722fae4ac0b9fa732fb8a44199ec3c4a4baf1d5ac6dfd5b6c4
  • event_ids: []

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