Implementing and Debugging Python Scheduling Scripts

2 min read

📅 2024-12-17 — Session: Implementing and Debugging Python Scheduling Scripts

🕒 21:40–22:20
🏷️ Labels: Python, Scheduling, Apscheduler, Email Automation, Ai Model
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance email automation with Markdown support, explore AI model upgrade options, and refine Python scheduling scripts for task automation.

Key Activities

  • Developed a Python script to send emails with Markdown content, converting it to HTML to ensure proper rendering across email clients.
  • Evaluated AI model upgrade options for a staff manager agent, comparing GPT-3.5 Turbo, GPT-4 Turbo, and GPT-4o based on cost, performance, and task suitability.
  • Implemented Python scripts for scheduling morning and evening briefings, detailing the necessary code adjustments.
  • Addressed and debugged cron job scheduling errors, providing corrected code examples and testing instructions.
  • Explored methods to check current system time using Python and terminal commands, including UTC and timezone-specific options.
  • Resolved APScheduler ValueError and timezone mismatches by validating and setting explicit timezone configurations for cron jobs.
  • Corrected the usage of the day_of_week parameter in APScheduler to ensure accurate task scheduling.

Achievements

  • Successfully implemented email automation with Markdown support.
  • Clarified AI model upgrade options for future decision-making.
  • Debugged and refined scheduling scripts, ensuring accurate task execution in local timezones.

Pending Tasks

  • Further testing of scheduling scripts in diverse environments to ensure robustness.
  • Continuous monitoring of AI model performance post-upgrade to validate cost-effectiveness.

Graph View

Backlinks