Enhanced Python Data Processing and JSON Handling

• Day: 2023-10-04
• Time: 00:25 to 01:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Processing, JSON, Code Optimization

Description

Session Goal:

The objective of this session was to enhance and refactor Python scripts for data processing and JSON handling, focusing on improving code efficiency, readability, and data integrity.

Key Activities:

• Data Processing Script Enhancements: Modified scripts to reset data after processing each grouper and load existing data files to prevent overwriting during quarterly data processing.
• Refactored Data Processing Function: Streamlined a Python function to reduce code duplication and enhance clarity by processing data based on specified groupers and base string settings.
• Unified Iteration Over Base Strings: Utilized a mapping dictionary to unify iteration over base strings and datasets, improving code readability and efficiency.
• Refining Data Grouping in JSON Processing: Revised the approach to handle data grouping in JSON tasks, ensuring updates to the all_data dictionary are specific to each base string and grouper combination.
• Updated merge_jsons Function: Improved the merging of JSON data structures, correctly updating existing quarter values and adding new ones without overwriting data.
• Data Separation in Group Processing: Managed data segregation between groupersP and groupersH, ensuring distinct data handling and correct merging with existing data.
• Generate Quarterly Dates in Python: Created a function using dateutil.relativedelta to generate quarterly dates between specified start and end dates.

Achievements:

• Successfully refactored and enhanced Python data processing scripts, leading to more efficient and readable code.
• Improved JSON data handling to maintain data integrity and prevent overwriting.

Pending Tasks:

• Further testing is needed to validate the enhancements in a production environment.
• Documentation of code changes for future reference and team collaboration.

Evidence

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• event_ids: []