The how-to guide at docs/how-to-guides/dynamic-valuesets-validation.md describes dynamic valueset validation in detail but uses custom Python code snippets instead of referencing linkml-term-validator, which is the actual tool that implements this.
LTV provides:
- CLI validation of dynamic enums against live ontologies via OAK
- Binding validation for LinkML schemas
- Caching system for deterministic, reproducible validation
- Used in production by dismech (500+ disorders, 16 ontologies)
The doc should:
- Reference LTV as the recommended tool for dynamic valueset validation
- Show LTV CLI examples alongside or instead of the custom Python snippets
- Link to LTV's docs/PyPI page
- Mention the caching system as a best practice for reproducible validation
See also: LTV slide deck which covers the full story.
The how-to guide at
docs/how-to-guides/dynamic-valuesets-validation.mddescribes dynamic valueset validation in detail but uses custom Python code snippets instead of referencing linkml-term-validator, which is the actual tool that implements this.LTV provides:
The doc should:
See also: LTV slide deck which covers the full story.