πŸ“… 2023-12-26 β€” Session: Developed JSON data structure for resolution summaries

πŸ•’ 22:00–22:30
🏷️ Labels: JSON, API, Python, Data Extraction, Automation
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to develop a structured approach for summarizing resolutions, facilitating data analysis and filtering.

Key Activities:

  1. Structured Summary Template: Created a data structure template to organize resolution summaries, detailing actions and objects involved.
  2. Standard JSON Prompt: Developed a standardized prompt for automating JSON data structure generation, including API usage instructions.
  3. Python Code for Extraction: Implemented Python code to extract resolutions and dispositions from summaries, organizing them with date and text.
  4. Code Correction: Corrected the Python code to prevent overwriting of β€˜date’ and β€˜summary’ by using a list of dictionaries.
  5. API Prompt for Data Extraction: Crafted a prompt for API to analyze summaries and extract key actions and objects, ensuring a coherent data structure.

Achievements: Successfully created templates and code for organizing and extracting data from resolution summaries, with a corrected data structure approach.

Pending Tasks: Further testing and validation of the API prompts and Python code to ensure robust data extraction and organization.