Developed JSON data extraction and structuring system

• Day: 2023-12-26
• Time: 22:00 to 22:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: JSON, API, Data Extraction, Python, Automation

Description

Session Goal

The session aimed to develop a system for extracting and structuring JSON data from summaries, focusing on resolutions and dispositions.

Key Activities

• Structured a summary of resolutions into a data format for enhanced analysis and filtering.
• Created a standard prompt template for automating JSON data structure generation, with detailed API usage instructions.
• Developed Python code for extracting resolutions and dispositions, organizing them into a data structure with date and text.
• Corrected existing code to retain multiple summaries by changing the structure to a list of dictionaries.
• Designed a prompt for API-based data extraction from summaries, focusing on key actions and objects.

Achievements

• Successfully structured resolutions into a JSON-compatible format.
• Automated JSON data structure generation with a standardized template.
• Implemented and corrected Python code for effective data extraction.

Pending Tasks

• Further refinement of the API prompt to enhance data extraction accuracy.
• Integration of additional actions and objects using ChatGPT API.

Evidence

• source_file=2023-12-26.sessions.jsonl, line_number=2, event_count=0, session_id=981aa4b892316dd2b963194a2d24d5dcc566f3e029e4b2de1285f48061a467e3
• event_ids: []