Enhancement and Refactoring of Data Processing Pipeline

📅 2025-06-22 — Session: Enhancement and Refactoring of Data Processing Pipeline

🕒 01:50–03:00
🏷️ Labels: Data_Processing, Refactoring, Pandas, Python, Pipeline
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the merge logic and refactor the data processing pipeline for improved data quality and efficiency.

Key Activities

• Improved merge logic by using index_id as a unique identifier instead of Title to avoid ambiguity.
• Reconstructed the rss_index from master_ref.csv to ensure accurate data retrieval.
• Reviewed and provided recommendations for the construction of rss_index and article_key to address ambiguity issues.
• Diagnosed and resolved a missing index_id column error in DataFrame operations.
• Refactored the article enrichment pipeline to separate responsibilities and eliminate code duplication.
• Resolved a type error in DataFrame key generation by ensuring type consistency during concatenation.
• Addressed and resolved name conflict issues in DataFrame merges to ensure correct column generation.

Achievements

• Successfully enhanced the merge logic and refactored the data processing pipeline.
• Improved data quality and processing efficiency.

Pending Tasks

• Further testing of the refactored pipeline to ensure robustness and handle edge cases.