Enhanced Dynamic Task Scheduling with Python

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Enhanced Dynamic Task Scheduling with Python

  • Day: 2024-10-27
  • Time: 17:40 to 18:40
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Task Scheduling, Dynamic Constraints, Python, Automation, Gym

Description

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.

Evidence

  • source_file=2024-10-27.sessions.jsonl, line_number=1, event_count=0, session_id=7e72a466b93f47093ad0c1fbcb7159e911d3643d8f33db1c0f8f05dc9030a37c
  • event_ids: []

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