📅 2025-06-22 — Session: Modularized ETL Pipeline and Unicode Handling
🕒 21:20–21:45
🏷️ Labels: ETL, Unicode, Python, Data Processing, Modularization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim was to enhance the ETL pipeline by modularizing it and resolving Unicode handling issues in JSONL files.
Key Activities
- Modularizing ETL Pipeline: Steps were outlined to define functions and add output actions for enriched data, facilitating easier debugging and downstream usage.
- Handling Unicode Escapes: Solutions were provided for decoding Unicode escape sequences in JSONL files using pandas, ensuring proper character representation.
- Unicode Fix for ETL Scripts: A Python code snippet was implemented to fix escaped Unicode sequences in specific dataframe columns without rewriting the entire ETL process.
- Structured Digest Generation: Methods were outlined to generate compact summaries for datasets of articles related to seed ideas, including a step-by-step plan and a minimal Python function.
Achievements
- Successfully modularized the ETL pipeline, enhancing maintainability and debugging.
- Resolved Unicode handling issues in JSONL files, ensuring accurate data processing.
- Developed a structured approach for digest generation, improving data summarization.
Pending Tasks
- Further testing of the modularized ETL pipeline with larger datasets to ensure robustness.
- Integration of the digest generation function into the existing data processing workflow.