πŸ“… 2024-10-27 β€” Session: Task Scheduling and Constraint Management

πŸ•’ 20:20–23:49
🏷️ Labels: Task Scheduling, Automation, Constraints, Python, Optimization
πŸ“‚ Project: Automation
⭐ Priority: MEDIUM

Session Goal

The aim of this session was to enhance and optimize task scheduling methodologies, focusing on constraint management and dynamic scheduling.

Key Activities

  • Developed and refined Python scripts for transforming DataFrames into dictionary structures for task management.
  • Updated constraints CSV with new task IDs and expanded it to include additional tasks and frequency constraints.
  • Implemented and corrected scheduling logic for the β€˜Morning Routine’ to start immediately after a designated β€˜Sleep’ block.
  • Designed a task distribution plan for a 30-day period, balancing workload and frequency-based assignments.
  • Enhanced task assignment with verbose output for detailed tracking.
  • Improved task scheduling methodology to ensure tasks start on the preferred day and optimized frequency distribution.
  • Implemented time constraints for scheduling workout tasks to start after 19:00.

Achievements

  • Successfully transformed datasets for task management and implemented dynamic scheduling models.
  • Corrected and adapted scheduling logic for specific routines, improving overall task management efficiency.

Pending Tasks

  • Further adjustments and testing of the scheduling system to ensure robustness and flexibility in task assignments.