Developed Database Structure and Resolved Python Dependencies

• Day: 2024-10-26
• Time: 19:45 to 20:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Database, Python, Or-Tools, Scheduling, Virtual Environment

Description

Session Goal:

The session aimed to design a robust database structure for a scheduling tool and resolve Python dependency issues related to the or-tools library.

Key Activities:

• Database Design: Developed a DBML schema for a scheduling tool, including tables for tasks, time blocks, constraints, and user preferences.
• CSV Output: Created CSV templates for the ‘constraints’ and ‘user_preferences’ tables, providing clarity on each column’s purpose.
• Task Management: Outlined a constraints table to optimize task scheduling and productivity.
• Python Library Installation: Resolved ModuleNotFoundError for or-tools by providing installation instructions and addressing compatibility issues with the protobuf package.
• Virtual Environment Setup: Provided detailed guides for setting up a clean Python virtual environment, managing dependencies, and installing gspread and or-tools libraries.
• Visual Schedule Representation: Created a visual schedule using a DataFrame to represent daily tasks and available work hours.

Achievements:

• Successfully designed a comprehensive database schema for the scheduling tool.
• Resolved installation and compatibility issues with Python libraries, ensuring a stable development environment.
• Developed a visual tool for task scheduling to enhance productivity.

Pending Tasks:

• Further refinement of the database schema based on user feedback.
• Continuous monitoring and updating of Python dependencies to prevent future conflicts.

Evidence

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• event_ids: []