Email Ingestion and MongoDB Integration

1 min read

📅 2024-12-02 — Session: Email Ingestion and MongoDB Integration

🕒 00:00–01:30
🏷️ Labels: Email Ingestion, Mongodb, Automation, Scheduling, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The main objective of this session was to enhance the email ingestion pipeline by scheduling the email_ingestor.py script, improving its modularity, and resolving MongoDB connection issues.

Key Activities

  • Task Scheduling: Scheduled email_ingestor.py using scheduler.py, enhancing task modularity and logging.
  • MongoDB Troubleshooting: Resolved connection issues, started MongoDB service, and installed mongosh.
  • Data Management: Verified email ingestion scheduler, managed subject fields, and implemented deduplication logic.
  • Processing Layer Development: Built a processing layer with Jupyter notebooks for email classification and management.
  • Tool Integration: Refactored classifier.py to use OpenAI’s SDK for improved email classification.

Achievements

  • Successfully scheduled and automated email ingestion.
  • Resolved MongoDB connection and startup warnings.
  • Implemented deduplication logic in the ingestion script.
  • Developed a robust processing layer for email data.

Pending Tasks

  • Further testing of the processing layer and deduplication logic.
  • Continuous monitoring and optimization of the ingestion pipeline.

Graph View

Backlinks