Enhanced Context Extraction and File Processing

📅 2024-07-14 — Session: Enhanced Context Extraction and File Processing

🕒 03:30–05:10
🏷️ Labels: Python, Dataframe, File Management, AI, Context Extraction
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance the context extraction process and streamline file processing for the ‘libro GCP’ project.

Key Activities

• Developed a structured late-night work plan with music recommendations to boost productivity using the Pomodoro Technique.
• Streamlined the content generation process by integrating chapter contexts with a main dataframe, leveraging Python and OpenAI.
• Implemented a Python code to filter DataFrame based on specific patterns using regular expressions.
• Mapped ‘Outline’ values to contexts in a DataFrame, linking them to sections in a filtered_outline.txt file.
• Enhanced the extract_context function with partial matching using regular expressions for improved context extraction.
• Created a Python implementation for processing book sections by generating contexts with AI, saving them to files, and concatenating text files.

Achievements

• Successfully improved the context extraction process with partial matching.
• Efficiently managed file operations, including concatenation of text files.

Pending Tasks

• Validate the final document for the ‘libro GCP’ project to ensure all contexts are correctly extracted and integrated.