Refactored Scripts and Enhanced Module Interoperability

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Refactored Scripts and Enhanced Module Interoperability

  • Day: 2026-02-20
  • Time: 03:00 to 05:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Refactoring, Automation, Modules, Data Processing, Python

Description

Session Goal

The session aimed to refactor legacy scripts into modular, interoperable components and enhance data processing pipelines for job and contract management.

Key Activities

  • Generated Query CSV: Created a query.[[csv]] file for data processing pipelines using bash scripts.
  • Contracts Module Queries: Developed queries for the contracts module focusing on pipeline artifacts.
  • Job Data Automation: Automated job data fetching from Remotive and exported results to JSONL.
  • Script Refactoring: Refactored four scripts into two interoperable Python modules, addressing dependency issues.
  • Job Leads Pipeline: Reviewed and improved a four-stage pipeline for job lead enrichment.
  • Python Module Development: Implemented an acquire_queries module for data acquisition from Remotive.
  • Python Packaging: Made the shared directory importable as a package using Python’s -m flag.
  • Legacy Script Design: Outlined design specifications for refactoring legacy scripts into modules.
  • Module B Debugging: Diagnosed and resolved output path issues in Module B, ensuring correct artifact generation.
  • Export Utility Implementation: Developed a debug/export utility for converting SERP candidates from CSV to JSONL.
  • Git Management: Planned a Git commit strategy for project cleanup, focusing on separating cleanup from functional changes.

Achievements

  • Successfully refactored scripts into modular components, enhancing interoperability and pipeline efficiency.
  • Implemented robust automation for job data processing and export.
  • Resolved critical issues in Module B related to output paths and data export.

Pending Tasks

  • Further validation and testing of the refactored modules to ensure compliance with all contracts.
  • Integration of the new modules into existing workflows to replace legacy scripts.
  • Continuous monitoring and debugging of the job leads enrichment pipeline for optimization.

Evidence

  • source_file=2026-02-20.sessions.jsonl, line_number=2, event_count=0, session_id=d6050241cd991fa1e0468db8f7774340f785dc9ffe1854494633f3e037d18418
  • event_ids: []

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