π 2024-10-27 β Session: Task Scheduling and Constraint Management
π 20:20β23:49
π·οΈ Labels: Task Scheduling, Automation, Constraints, Python, Optimization
π Project: Automation
β 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 βMorning Routineβ to start immediately after a designated βSleepβ 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.