Resolved APScheduler and MongoDB Issues

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📅 2024-12-06 — Session: Resolved APScheduler and MongoDB Issues

🕒 17:20–19:00
🏷️ Labels: Apscheduler, Mongodb, Rabbitmq, Job Extraction, Error Resolution
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to address and resolve various issues related to APScheduler job scheduling, MongoDB database operations, and RabbitMQ queue management.

Key Activities

  • APScheduler Fixes: Corrected a TypeError in APScheduler’s add_job method by ensuring callable functions are passed correctly.
  • MongoDB Operations: Connected to MongoDB and RabbitMQ, installed mongosh, and managed database operations including renaming collections and converting date fields.
  • RabbitMQ Troubleshooting: Resolved PRECONDITION_FAILED errors by resetting and ensuring consistent queue properties.
  • Job Data Structuring: Developed a schema for extracting and structuring job postings from emails, and updated AI prompts for job analysis.

Achievements

  • Successfully fixed APScheduler scheduling errors.
  • Improved MongoDB data handling and operations.
  • Resolved RabbitMQ queue management errors.
  • Established a structured approach for job data extraction and analysis.

Pending Tasks

  • Further testing of the updated job data extraction schema and AI prompts.
  • Continuous monitoring of APScheduler and RabbitMQ for any recurring issues.

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