Resolved APScheduler and MongoDB integration issues

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Resolved APScheduler and MongoDB integration issues

  • Day: 2024-12-06
  • Time: 17:20 to 19:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Apscheduler, Mongodb, Rabbitmq, Error Handling, Job Processing

Description

Session Goal

The session aimed to address multiple technical challenges related to APScheduler job scheduling, MongoDB operations, and RabbitMQ queue management.

Key Activities

  • APScheduler Fixes: Resolved a TypeError in APScheduler by ensuring functions are passed as callables and using kwargs for arguments.
  • MongoDB Operations: Connected to MongoDB and RabbitMQ from the terminal, installed mongosh, removed processed emails, and debugged date field issues.
  • RabbitMQ Management: Troubleshot and resolved the PRECONDITION_FAILED error for the job_posting_queue by resetting queue properties.
  • Job Processing Automation: Developed a schema for extracting job postings from emails and updated AI prompts for job analysis.

Achievements

  • Successfully fixed APScheduler job scheduling errors.
  • Established terminal connections to MongoDB and RabbitMQ.
  • Implemented solutions for MongoDB date handling and email processing.
  • Resolved RabbitMQ queue configuration errors.
  • Designed a schema for job opportunity extraction and updated AI prompts.

Pending Tasks

  • Further enhancements to job processing automation and data structuring are needed for improved efficiency.
  • Additional testing of RabbitMQ queue configurations to prevent future errors.

Evidence

  • source_file=2024-12-06.sessions.jsonl, line_number=5, event_count=0, session_id=edd835b6f8737d5ecb56a3a61eab2b85972366c0e4f2b576589c29459a5e5452
  • event_ids: []

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