Implemented and Refined PDF Text Chunking Tool

• Day: 2025-01-27
• Time: 21:40 to 22:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Pdf Processing, Python, Automation, Text Chunking, Error Handling

Description

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.

Evidence

• source_file=2025-01-27.sessions.jsonl, line_number=0, event_count=0, session_id=63cc5fd43bd70d268a006d1754410e4bc41ede9df908a4c728a0b5ad91cca01d
• event_ids: []