Refactored Data Processing Pipeline and Integrated Scraper

• Day: 2025-07-07
• Time: 05:40 to 06:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Pipeline, Debugging, Python, Automation, Orchestrator

Description

Session Goal

The primary aim of this session was to debug, refine, and integrate various components of a data processing pipeline using Python, with a focus on improving efficiency and compatibility.

Key Activities

• Pipeline Debugging: Addressed column name mismatches and directory inconsistencies in data processing scripts to ensure smooth pipeline execution.
• Error Handling: Implemented code changes to prevent the creation of empty CSV files when no SERP results are found.
• Integration: Merged a JSONL exporter with a Selenium-based scraper to enrich data with HTML content.
• Export Process Update: Modified the export process to utilize the integrated scraper and exporter for JSONL data.
• Workflow Optimization: Refined job scraping workflow to prioritize classification before scraping, enhancing efficiency.
• Modular Orchestrator Design: Redesigned the orchestrator for the data pipeline to improve flexibility and traceability.
• Script Compatibility: Enhanced script compatibility with the orchestrator pattern by implementing an argparse interface.
• Pipeline Integration: Integrated a JSONL export step for classifying SERP URLs, updating the orchestrator accordingly.

Achievements

• Successfully debugged and fixed issues in the data processing pipeline.
• Enhanced error handling to prevent empty CSV creations.
• Achieved seamless integration of the JSONL exporter with the Selenium scraper.
• Improved the efficiency of the job scraping workflow.
• Developed a modular orchestrator design, facilitating better management and debugging.
• Updated scripts to be compatible with the orchestrator pattern.

Pending Tasks

• Further testing of the integrated pipeline to ensure all components work harmoniously.
• Continuous monitoring and optimization of the job scraping workflow for better performance.

Evidence

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• event_ids: []