Resolved Data Merging and Processing Issues

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📅 2025-06-22 — Session: Resolved Data Merging and Processing Issues

🕒 19:25–20:05
🏷️ Labels: Data_Processing, Python, CSV, Debugging, Data_Quality, Pipeline
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to diagnose and resolve issues related to data merging and processing, specifically focusing on editorial ideas and article associations.

Key Activities

  • Diagnosed merging issues in data processing, identifying incorrect integration of editorial ideas with articles.
  • Provided Python code snippets for merging JSONL and CSV files into a clean DataFrame, ensuring topic-level consistency.
  • Corrected code to reconstruct the ‘digest_file’ column in DataFrames, addressing missing data issues.
  • Proposed a strategy to reorganize the article pipeline for improved traceability and uniqueness of identifiers.
  • Resolved an import error with the glob module in Python, ensuring correct usage based on import style.
  • Debugged CSV file processing, addressing the absence of the master_index.csv file.
  • Improved CSV file processing by calculating rel_path correctly to ensure robust file identification.

Achievements

  • Successfully resolved data merging issues and improved data processing scripts.
  • Enhanced the robustness of the data pipeline and ensured consistency in data integration.

Pending Tasks

  • Implement the proposed strategy for pipeline reorganization to further enhance data processing efficiency.

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