📅 2025-02-01 — Session: Implemented and Refined Book Metadata Processing
🕒 03:10–03:50
🏷️ Labels: Python, Metadata, Supabase, File Processing, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to implement and refine a Python-based system for processing book metadata, ensuring efficient management and alignment with a database schema.
Key Activities
- Developed a Python implementation to aggregate book metadata into a single JSON file, enhancing efficiency and error handling.
- Revised the
process_bookandprocess_books_dirfunctions to separate metadata into distinct collections for files and chunks, aligning with the database schema. - Updated Python code to ensure payloads align with the specified database schema, including functions for file handling and metadata extraction.
- Created a function to upload file metadata and chunks to Supabase, incorporating error handling and schema compatibility.
- Corrected iteration over ‘chunks’ in Python code for proper data extraction and batch uploading to Supabase.
- Implemented parallel uploading of files and chunks to Supabase, improving data upload efficiency and integrity.
Achievements
- Successfully implemented a unified metadata collection system for book processing.
- Ensured metadata processing functions align with the database schema, improving data management.
- Enhanced error handling and data integrity in the file upload process to Supabase.
Pending Tasks
- Further testing of the parallel upload implementation to ensure robustness in various scenarios.
- Optimization of metadata extraction functions for larger datasets.