Enhanced Schema Key Mapping and AI API Integration

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Enhanced Schema Key Mapping and AI API Integration

  • Day: 2024-09-16
  • Time: 19:20 to 19:45
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Schema, Openai Api, Automation, Python, Data Processing

Description

Session Goal

The session aimed to enhance the schema key mapping for resolutions and integrate AI agents using the OpenAI API for improved data processing workflows.

Key Activities

  • Evaluated schema keys for resolutions, suggesting improvements for granularity and category distinctions.
  • Refined a stems dictionary and match function for dynamic schema extraction in knowledge graphs.
  • Analyzed schema key mapping effectiveness for resolutions from the ‘Ministerio de Seguridad’ dataset.
  • Enhanced the stems dictionary for legal terms related to licitations and convenios.
  • Addressed file download issues, suggesting CSV format and troubleshooting steps.
  • Explored OpenAI API documentation to understand function calling and schema constraints.
  • Set up OpenAI API for function definition and fine-tuning.
  • Developed a workflow for integrating AI agents with NoSQL schema using Python.
  • Migrated to OpenAI Python API v1.0.0, addressing TypeError and API response access.

Achievements

  • Improved schema key mapping and stems dictionary for legal terms.
  • Established a structured workflow for AI agent integration with NoSQL schemas.
  • Successfully migrated to the latest OpenAI Python API with error handling improvements.

Pending Tasks

  • Further refine schema key mapping based on feedback from resolution processing.
  • Continue exploring OpenAI API capabilities for additional automation opportunities.

Evidence

  • source_file=2024-09-16.sessions.jsonl, line_number=2, event_count=0, session_id=ed9d2e4e21ad19f280b6ba105f57aa3096cb388b03a1cab152a19a49ef544cac
  • event_ids: []

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