Refactored and Debugged Data Processing Scripts

📅 2023-12-20 — Session: Refactored and Debugged Data Processing Scripts

🕒 16:20–16:55
🏷️ Labels: Python, Data Processing, Debugging, Dask, Modularization
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to improve the structure and functionality of data processing scripts, focusing on modularization, debugging, and handling Dask DataFrames.

Key Activities:

• Improved the structure of the database extraction notebook by emphasizing modularization and clarity through comments.
• Enhanced debugging capabilities for get_data and process_price_quantities functions by introducing detailed logging and error handling.
• Revised a Python script to process data with added logging for better debugging.
• Troubleshot Dask DataFrame reading issues, focusing on file paths, content, column mappings, and data types.
• Modified the get_data function to assign column names correctly in Dask DataFrames.
• Addressed a SyntaxError by examining string literals and debugging strategies for large DataFrames.
• Refactored scripts into modular functions for improved readability and maintenance.

Achievements:

• Successfully reorganized the database extraction notebook for better maintainability.
• Implemented robust logging and error handling in data processing functions, enhancing debugging efficiency.
• Resolved Dask DataFrame reading issues and ensured correct column assignments.
• Refactored scripts into modular components, improving code readability and maintainability.

Pending Tasks:

• Further testing of the revised scripts in a production environment to ensure robustness and efficiency.
• Continuous monitoring and debugging to identify any additional issues in data processing workflows.