Enhanced PromptFlow Schema Integration

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📅 2025-06-22 — Session: Enhanced PromptFlow Schema Integration

🕒 00:00–01:30
🏷️ Labels: Promptflow, Data_Processing, Schema_Integration, Python, Article_Management
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the integration and processing capabilities of PromptFlow by refining its data schema and processing methodologies.

Key Activities

  • Defined a relational model for integrating RSS dumps and PromptFlow outputs, focusing on table definitions and normalization.
  • Proposed extensions to the relational model for new data structures, including articles and summaries.
  • Developed a strategy for article management schema, emphasizing historical consistency and deduplication.
  • Integrated robust article ID references into PromptFlow, enhancing stability and traceability using a global reference layer.
  • Implemented the article_index_map in the PromptFlow pipeline for better data processing and configuration updates.
  • Enriched PF articles with unique identifiers and metadata, addressing missing metadata issues.
  • Utilized a composite key for joining article metadata, ensuring accurate data merging.

Achievements

  • Successfully enhanced the PromptFlow data schema to improve data integration and processing.
  • Established a robust framework for managing and enriching article data within PromptFlow.

Pending Tasks

  • Further testing and validation of the new schema and processing methods in a live environment.

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