📅 2025-05-22 — Session: Developed Jinja templates for Docusaurus documentation
🕒 09:20–10:20
🏷️ Labels: Jinja, Docusaurus, Python, Documentation, Automation
📂 Project: Dev
Session Goal
The main objective of this session was to develop Jinja-based templates to automate the generation of Docusaurus documentation from structured data clusters.
Key Activities
- Created a Jinja-based prompt template for synthesizing structured Docusaurus documentation, focusing on clarity and organization.
- Developed a Python script to process DataFrame clusters and output them in JSONL format.
- Refined Jinja2 templates to maintain editorial tone and improve developer ergonomics.
- Implemented and cleaned up Python functions for LLM interactions, ensuring raw text output for downstream parsing.
- Addressed error handling in PromptFlow and resolved JSONL-YAML mapping issues.
- Evaluated draft documentation for PromptFlow and proposed strategies to enhance Docusaurus output richness.
Achievements
- Successfully created and refined Jinja templates for Docusaurus page generation.
- Enhanced Python scripts for data processing and LLM function implementation.
- Improved error handling strategies and documentation evaluation processes.
Pending Tasks
- Further refinement of Docusaurus frontmatter strategies to optimize metadata and SEO.
- Continued evaluation and feedback on Docusaurus documentation improvements.