Refactored and Tested Email Processing Pipeline

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📅 2025-05-01 — Session: Refactored and Tested Email Processing Pipeline

🕒 22:55–23:45
🏷️ Labels: Email Processing, Python, Refactoring, Automation, Integration Testing
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance the email processing system by refactoring the existing codebase for improved modularity and reliability, and to validate the integration of various components in the pipeline.

Key Activities

  • Developed a detailed checklist for the integration test phase to ensure proper validation of individual classes and their orchestration.
  • Implemented the use of EMAIL_CONFIG within the EmailFetcher for secure email fetching from Gmail.
  • Resolved namespace collisions in Python imports by modifying import paths.
  • Successfully parsed emails via IMAP, handling edge cases like empty email bodies by implementing a fallback mechanism for HTML-only emails.
  • Refactored the email parser to introduce modularity, including helper methods for content extraction and improving maintainability.
  • Confirmed the successful processing of emails, with plans to store emails and run a watcher agent for triage.
  • Proposed a refined structure for the EmailStorageManager class to manage email storage efficiently.
  • Implemented the EmailOrchestrator class to automate fetching, parsing, and storing unseen emails.

Achievements

  • The email processing pipeline was successfully refactored and tested, confirming that the system functions correctly.
  • Improved code modularity and readability, enhancing the maintainability and testability of the system.

Pending Tasks

  • Implement the triage feature in the EmailOrchestrator to automate the categorization and prioritization of emails.
  • Further testing and validation of the EmailStorageManager class to ensure robust email management.

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