Enhancements and Debugging of AI Email Processing

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📅 2024-12-25 — Session: Enhancements and Debugging of AI Email Processing

🕒 01:15–02:35
🏷️ Labels: AI, Email Processing, Python, Error Handling, Openai Api
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary aim of this session was to enhance and debug various functions related to AI-driven email processing and classification.

Key Activities

  • Enhancements to AI Functions: Modified the AI_process_and_filter_gatekept_messages function to include a force_reclassification parameter for handling messages with empty categories.
  • Function Implementation: Updated the process_message function with a force_reprocess parameter to improve database integrity and error handling.
  • Error Fixes: Addressed an undefined variable error in the AI processing function and resolved circular import issues in Python modules.
  • API Integration: Fixed deprecated OpenAI API usage and debugged issues with the OPENAI_API_KEY retrieval and configuration.
  • System Analysis: Conducted a performance analysis of the email classification and triage systems, identifying strengths and areas for improvement.

Achievements

  • Successfully integrated the force_reclassification and force_reprocess parameters into their respective functions.
  • Resolved multiple errors, including undefined variables and circular imports.
  • Updated OpenAI API usage to prevent deprecated endpoint issues.
  • Improved the email classification system’s ability to dynamically reclassify emails.

Pending Tasks

  • Further optimize the email classification system for better category consistency and metadata enrichment.
  • Continue refining the error handling mechanisms across the AI processing functions.

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