Developed MongoDB scripts for data processing

📅 2024-12-26 — Session: Developed MongoDB scripts for data processing

🕒 14:50–15:20
🏷️ Labels: Mongodb, Python, Data Processing, Serialization, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to enhance MongoDB data processing capabilities by developing scripts and addressing serialization issues.

Key Activities:

• Created a Python script to connect to a MongoDB database and retrieve keys from specified collections, aiding in understanding email ingestion data structure.
• Drafted a script to retrieve one document from each collection in MongoDB and print the keys, facilitating database automation.
• Introduced a processed_at timestamp field in job, task, and event processing code to ensure consistency and aid debugging.
• Addressed serialization and classification issues in message processing, providing solutions for ObjectId serialization errors and email classification inaccuracies.
• Outlined the correct sequence for MongoDB document insertion, emphasizing serialization of the _id field.
• Provided a Python snippet for inspecting MongoDB records by fetching documents by their IDs.

Achievements:

• Successfully developed scripts for MongoDB data retrieval and processing.
• Implemented a processed_at field for better data processing consistency.
• Resolved key serialization and classification issues.

Pending Tasks:

• Further testing and validation of the implemented scripts and solutions to ensure robustness and reliability.