Documentation Pipeline Progress Log

Overview

This log captures the steps taken while implementing the "Documentation Pipeline Improvement Plan" from plan.md. Entries are chronological and highlight key activities, findings, and any issues encountered.

Entries

  • Initial analysis of existing scripts (tools/parse_config.py, tools/generate_docs.py) and current documentation output structure. Identified the need for major refactoring to support configurable CLI usage, enriched parsing, and templated generation.
  • Reviewed 110 Bullhead Road.loxone to understand available configuration data (room definitions, block types, lighting controllers) and confirmed the absence of existing AGENTS instructions.
  • Planned creation of new CLI-driven pipeline including data extraction, knowledge-base indexing, documentation rendering, validation, testing, and automation tooling.
  • Implemented new structured extraction module (tools/pipeline/extract.py) with argparse-driven CLI, enriched block parsing, lighting subsystem handling, and provenance metadata support. Updated tools/parse_config.py to delegate to the new pipeline entry point.
  • Added tools/kb_indexer.py to build a canonical KB lookup (tools/docs/kb_lookup.json) with override support via tools/docs/kb_overrides.yml.
  • Replaced ad-hoc Markdown generation with a templated workflow (tools/templates/*.j2) powered by the new Jinja2-based renderer in tools/generate_docs.py. Output now lands under docs/manual/<export_hash>/ with a manifest and KB-aware cross references.
  • Introduced tools/validate_docs.py to enforce link integrity, detect placeholder text, and verify KB resolution through generated manifests.
  • Authored reusable documentation templates and developer guide (docs/DEVELOPER_GUIDE.md) plus _data/v2/schema.md to document the export format.
  • Running make docs now generates hashed manuals, emitting warnings when generic KB fallbacks (linking to tools/docs/kb_index.md) are used for block types lacking dedicated articles.
  • Added pytest suite covering parsing, KB indexing, documentation rendering, and validation (tests/).

Issues & Limitations

  • The provided configuration export is large and contains numerous block types. Some specialised controller attributes may require future domain knowledge to interpret fully.
  • No existing dependency management was present; additional Python packages (jinja2, pyyaml, mdformat, pytest) are now required and documented.
  • Many block types currently fall back to the general KB index because dedicated articles were unavailable; resolving these requires augmenting tools/docs/kb_overrides.yml or expanding the source knowledge base.