Enhanced Multi-Day Task Scheduling with OR-Tools

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Enhanced Multi-Day Task Scheduling with OR-Tools

  • Day: 2024-10-26
  • Time: 21:10 to 22:25
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Task Scheduling, Or-Tools, Python, Dataframe, Constraints

Description

Session Goal

The session aimed to enhance a multi-day task scheduling system using Python and Google OR-Tools, focusing on improving constraint management, debugging, and dynamic task replication.

Key Activities

  • Task Scheduling Framework: Implemented a structured approach for scheduling tasks over three days using OR-Tools and Pandas, including calendar visualization.
  • Dynamic Constraints: Developed a model to apply constraints dynamically from a CSV file, improving flexibility and maintainability.
  • Error Handling: Addressed TypeErrors and indexing errors in task replication and constraint handling, ensuring robust error management.
  • DataFrame Manipulation: Updated DataFrame logic to accurately reflect scheduled tasks across multiple days, preventing data overwrites and ensuring clarity.
  • Frequency Constraints: Integrated frequency-based replication to distribute tasks evenly across days, enhancing schedule balance.

Achievements

  • Successfully implemented dynamic constraint processing and frequency-based task replication, improving the scheduling model’s adaptability.
  • Resolved errors related to data conversion and task variable management, enhancing the system’s reliability.
  • Improved the DataFrame structure to better represent multi-day task schedules, ensuring comprehensive task visualization.

Pending Tasks

  • Further testing is needed to ensure the robustness of the frequency-based replication under varying task loads and constraints.
  • Explore additional optimization techniques to enhance the scheduling efficiency and performance.

Evidence

  • source_file=2024-10-26.sessions.jsonl, line_number=4, event_count=0, session_id=1ac6753819e204026916ad733b85a0832a38bee5aaa48447a397e9e9bfad0906
  • event_ids: []

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