Developed JSON Schema and Jinja2 Integration

  • Day: 2025-08-20
  • Time: 21:30 to 23:55
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: JSON, Jinja2, Promptflow, Automation, Schema

Description

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.

Evidence

  • source_file=2025-08-20.sessions.jsonl, line_number=3, event_count=0, session_id=97fa859782c2bbb6dd592c01e5e9cf8e73df77b9eaee761770cd8bb7fda107a1
  • event_ids: []