Developed JSON Schema and Jinja2 Integration

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📅 2025-08-20 — Session: Developed JSON Schema and Jinja2 Integration

🕒 21:30–23:55
🏷️ Labels: JSON, Jinja2, Promptflow, Automation, Schema
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop and integrate JSON Schemas for annotation in the Atlas framework and explore methods for injecting Markdown files into Jinja2 prompts.

Key Activities

  • Designed a JSON Schema (draft 2020-12) for annotation in the Atlas framework, focusing on strategic judgment and conditional requirements.
  • Created a simplified JSON schema for annotations, providing examples of required and optional properties.
  • Developed Markdown files for Jinja2 prompt injection, detailing contents and specifications.
  • Explored two methods for injecting Markdown files into Jinja2 prompts, discussing pros and cons with code examples.
  • Integrated Markdown variables in PromptFlow using Jinja templates and YAML configuration.
  • Redesigned workflow in PromptFlow using FilePath for managing .md files, enhancing usability and reproducibility.
  • Developed a Python mini-pipeline for exporting Markdown files to JSONL format, ensuring deduplication and metadata inclusion.
  • Resolved parameter name mismatches in PromptFlow by aligning YAML inputs with Python function signatures.
  • Diagnosed and corrected output classification errors in PromptFlow, improving semantic anchoring and ingestion accuracy.
  • Updated JSONL-driven run configuration for machine learning workflows, ensuring proper data flow and output formatting.
  • Debugged Jinja prompts in PromptFlow, providing methods for inspecting rendered prompts and troubleshooting injection issues.
  • Reviewed and corrected annotations for notebook clusters, identifying and addressing errors in paths and domains.
  • Evaluated annotator performance, suggesting improvements in heuristics and route handling.

Achievements

  • Successfully integrated JSON Schemas and Markdown files into Jinja2 prompts, enhancing automation and data structuring capabilities.
  • Improved workflow management in PromptFlow, addressing key issues and optimizing processes.

Pending Tasks

  • Further testing and validation of JSON Schema integration in Atlas.
  • Continuous improvement of Jinja2 prompt injection methods to enhance robustness.

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