📅 2024-10-27 — Session: Enhanced Dynamic Task Scheduling with Python
🕒 17:40–18:40
🏷️ Labels: Task Scheduling, Dynamic Constraints, Python, Automation, Gym
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to enhance task scheduling by implementing dynamic time constraints using Python, with a focus on ensuring tasks like ‘Gym’ adhere to specific time slots.
Key Activities
- Introduced a ‘timing’ column in the constraints CSV to allow precise start and end constraints for tasks.
- Developed Python code to dynamically apply these constraints based on specified timings.
- Analyzed and resolved an issue where the ‘Gym’ task was not adhering to the constraint of starting after 7 PM.
- Implemented solutions for dynamically adjusting time constraints based on the day of the week.
- Ensured accurate constraint application across multiple days by dynamically calculating the day for task instances.
Achievements
- Successfully updated the CSV format and Python code to handle dynamic time constraints.
- Ensured the ‘Gym’ task starts at the correct time each day by calculating day-based slot offsets.
- Improved the scheduling model to accurately apply constraints across different days.
Pending Tasks
- Further testing of the dynamic scheduling system to ensure robustness across various task types and constraints.