Automated File Management and Data Processing

• Day: 2026-01-09
• Time: 19:50 to 20:00
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: File_Management, Data_Processing, Python, Automation, Data_Extraction

Description

Session Goal

The session aimed to streamline file management and data processing tasks by utilizing Python scripts for automation and analysis.

Key Activities

• Compared expected file paths with actual manifest paths to identify discrepancies in datasets.
• Explored automation queries for data aggregation and daily cash position computation.
• Analyzed Python scripts to understand file operations, including reading and content preview.
• Extracted canonical columns using regular expressions in Python scripts.
• Implemented Python code for slicing and printing data segments.
• Identified specific lines containing ‘Box’ in the ingest.py file.
• Retrieved column attributes from nested data structures in Python.

Achievements

• Successfully identified missing and extra files in datasets.
• Enhanced understanding of Python file handling and data manipulation techniques.

Pending Tasks

• Further refinement of automation scripts to improve efficiency in data queries and file management.

Evidence

• source_file=2026-01-09.sessions.jsonl, line_number=17, event_count=0, session_id=3c4b9b84a7cf51511dc571b6a88416ef7ebfea3e89beacd83f7967c0f6979021
• event_ids: []