📅 2025-01-27 — Session: Implemented and Refined PDF Text Chunking Tool
🕒 21:40–22:25
🏷️ Labels: Pdf Processing, Python, Automation, Text Chunking, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to implement a tool for processing PDF files to extract text and chunk it into manageable pieces, ensuring proper formatting and error handling.
Key Activities:
- Developed a Python script using PyPDF2 and nltk to extract text from PDF files and chunk it into smaller, manageable pieces.
- Successfully executed the script, generating a chunk file named ‘chunk_1.txt’ in the specified output directory.
- Identified and acknowledged an issue with overly aggressive content splitting, leading to plans for adjusting the logic to preserve sentences or paragraphs.
- Addressed a missing variable issue (
pdf_text) by proposing re-importing and extracting text with adjusted logic for proper formatting.
Achievements:
- Successfully implemented the PDF text chunking tool and verified the output in the specified directory.
- Initiated plans to refine the chunking logic for better content preservation.
Pending Tasks:
- Modify the chunking logic to ensure sentences or paragraphs are preserved while maintaining manageable chunk sizes.
- Re-import and extract text from the PDF file with adjusted logic to address the missing variable issue.