📅 2024-10-02 — Session: Developed and Implemented EmailBot Class
🕒 19:00–20:10
🏷️ Labels: Emailbot, Python, Automation, IMAP, Sqlite, AI
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to develop, implement, and test the EmailBot
class for email ingestion and automation purposes.
Key Activities
- EmailBot Class Development: Implemented the
EmailBot
class to ingest emails into a database, capturing structured data such as sender, source type, and timestamps, while enhancing error handling and content processing. - Fetching Recent Emails: Developed functionality within the
EmailBot
class to fetch emails received in the last 24 hours, including a test functionhello_world_test()
. - Data Storage: Implemented logic to store fetched emails in a SQLite database.
- Data Categorization Strategy: Outlined strategies for simplifying data categories to improve workflow efficiency.
- AI Training Plan: Explored training AI agents for email categorization using keyword-based methods to optimize workflows.
Achievements
- Successfully implemented and tested the
EmailBot
class with complete functionality for email fetching and storage. - Developed a strategic plan for data categorization and AI training.
Pending Tasks
- Further development and testing of AI agents for enhanced email categorization and workflow optimization.