- Introduced a new function `load_graph_schema_full` to parse and cache both typical and prohibited edge types from the graph schema.
- Updated `load_graph_schema` to utilize the full schema for improved edge type extraction.
- Added `get_topology_info` to retrieve typical and prohibited edges for source/target pairs.
- Implemented `validate_intra_note_edge` and `validate_edge_against_schema` for schema validation of intra-note edges.
- Enhanced logging for schema validation outcomes and edge handling.
- Updated documentation to reflect new validation features and testing procedures.
- Updated provenance priorities and introduced a mapping from internal provenance values to EdgeDTO-compliant literals.
- Added a new function `normalize_provenance` to standardize internal provenance strings.
- Enhanced the `_edge` function to include an `is_internal` flag and provenance normalization.
- Modified the `EdgeDTO` model to include a new `source_hint` field for detailed provenance information and an `is_internal` flag for intra-note edges.
- Reduced the provenance options in `EdgeDTO` to valid literals, improving data integrity.
- Introduced final validation gate for edges with candidate: prefix.
- Enabled automatic generation of mirror edges for explicit connections.
- Added support for Note-Scope zones to facilitate global connections.
- Enhanced section-based links in the multigraph system for improved edge handling.
- Updated documentation and added new ENV variables for configuration.
- Ensured no breaking changes for end users, maintaining full backward compatibility.
Introduce a new method for persisting rejected edges for audit purposes, enhancing traceability and validation logic. Update the decision engine to utilize a generic fallback template for improved error handling during LLM validation. Revise documentation across multiple files to reflect the new versioning, context, and features related to Phase 3 validation, including automatic mirror edges and note-scope zones. This update ensures better graph integrity and validation accuracy in the ingestion process.
