Enhanced Email Ingestion and Database Integration

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📅 2024-12-01 — Session: Enhanced Email Ingestion and Database Integration

🕒 16:30–17:45
🏷️ Labels: Email Ingestion, Database Integration, Python, Gmail Labels, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the email ingestion process by integrating Gmail labels into the email processing scripts and updating the database schema to store these labels and email sizes.

Key Activities

  • Verified the database file path to ensure accessibility and troubleshoot access issues.
  • Modified email ingestion scripts to incorporate Gmail labels using the X-GM-LABELS extension.
  • Updated the database schema to store email labels and sizes, using SQL commands and Python code.
  • Improved email parsing strategies to extract message IDs and labels effectively.
  • Addressed errors in the mail.fetch command and cursor.execute parameter structure in Python.
  • Implemented and debugged enhanced email label parsing code to filter out unnecessary metadata.
  • Developed a structured annotation framework for the email dataset to train a tailored agent.

Achievements

  • Successfully integrated Gmail labels into email ingestion scripts.
  • Updated database schema to handle new email attributes.
  • Resolved Python errors related to email fetching and database operations.
  • Enhanced email parsing logic to clean and filter labels effectively.

Pending Tasks

  • Further testing of the updated email ingestion and parsing scripts to ensure robustness.
  • Implementation of the structured annotation framework for the email dataset.

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