Developed and Optimized Task Scheduling System

  • Day: 2024-10-27
  • Time: 20:20 to 23:49
  • Project: Business
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Scheduling, Task Management, Python, Automation, Constraints

Description

Session Goal

The primary goal of this session was to develop and optimize a task scheduling system that effectively manages tasks across a 30-day period, focusing on workload balancing and frequency-based assignments.

Key Activities

  • Data Transformation: Converted a DataFrame into a dictionary structure suitable for task management.
  • CSV Updates: Updated constraints CSV with new task IDs and expanded it to include additional tasks and constraints.
  • Error Resolution: Fixed a float value error in task scheduling code by casting variables to integers.
  • Morning Routine Scheduling: Implemented and adapted scheduling logic to ensure the ‘Morning Routine’ starts immediately after a designated ‘Sleep’ block.
  • Task Distribution Plan: Developed a plan for distributing tasks evenly across a 30-day period using Python.
  • Day Balancing: Managed task scheduling by tracking day loads and dynamically assigning tasks to the least occupied days.
  • Constraints Implementation: Implemented constraints for task scheduling, including frequency and time requirements.
  • Feedback and Evaluation: Provided feedback on the organization and effectiveness of the schedule and constraints file.

Achievements

  • Successfully implemented a dynamic scheduling system that adapts to workload and timing constraints.
  • Enhanced task assignment process with verbosity for detailed tracking.
  • Optimized task scheduling methodology to ensure balanced distribution across days.

Pending Tasks

  • Further adjustments may be needed based on feedback to enhance the scheduling system’s flexibility and efficiency.

Evidence

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  • event_ids: []