Refactored Python Script for Jupyter I/O Extraction

• Day: 2023-02-14
• Time: 03:15 to 03:55
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Jupyter, Data Processing, Code Refactoring

Description

Session Goal

The primary aim of this session was to develop and refine a Python script capable of extracting input and output file paths from Jupyter notebooks. This involves analyzing read and write commands for CSV and GeoDataFrame files.

Key Activities

• Script Development: Initiated with a basic script to extract file paths from Jupyter notebooks by scanning for read and write operations.
• Code Correction: Corrected a variable name typo from files to file_inputs to ensure the script functions correctly.
• Dataframe Creation: Implemented a method to create a dataframe that captures input and output file information using Python and pandas.
• Code Enhancement: Enhanced the script to check if lines with specific function calls are commented out.
• Code Refactoring: Refactored the code to modularize the file extraction functionality, improving readability and maintainability.

Achievements

• Successfully developed a robust Python script that extracts and organizes input and output file information from Jupyter notebooks.
• Improved code quality and functionality through iterative enhancements and refactoring.

Pending Tasks

• Further testing and validation of the script on different types of Jupyter notebooks to ensure comprehensive functionality.

Evidence

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• event_ids: []