3 Commits

Author	SHA1	Message	Date
aditya	137d040c4d	feat(acms): implement DepthReductionCompressor for skeleton compression ... Add a production skeleton compressor that re-renders inherited fragments to overview depths via the UKO detail-level map chain, fits the result within the configured skeleton budget, and wires the pipeline default to the new compressor. Address prior review feedback by extracting the render visitors into a dedicated module, restoring projected metadata to native runtime types, constraining builtin component resolution with an allowlist, and keeping child-context inheritance compatible with CRP context fragments for the Robot integration path. Reproduced the Forgejo lint job in a clean python:3.13-slim container with the CI commands All checks passed! and 1740 files already formatted; both passed, so the earlier lint failure appears to have been transient runner behavior rather than a source-level defect. ISSUES CLOSED: #919	2026-04-01 06:16:41 +00:00
hamza.khyari	04f24b39c0	feat(acms): implement UKO Layer 1 Domain Ontologies (uko-code, uko-doc, uko-data, uko-infra) ... Implement the four Layer 1 domain-specific OWL/Turtle ontology vocabularies that specialize Layer 0 universal concepts for specific knowledge domains. Ontology (docs/ontology/uko.ttl): - Added uko-doc: namespace with 17 classes (Document, Part, Chapter, Section, Subsection, Paragraph, Sentence, CodeBlock, Citation, Figure, Table, Footnote, Annotation, Bookmark, CrossReference, PageBreak, SectionBreak), 5 properties, and 4 relationships - Added uko-data: namespace with 13 classes (Schema, Table, Column, View, StoredProcedure, Constraint, Index, ForeignKey, Trigger, Annotation, Bookmark, PartitionBoundary, ShardBoundary), 6 properties, and 5 relationships - Added uko-infra: namespace with 7 classes (Service, Network, Endpoint, ConfigKey, Volume, FirewallRule, SubnetBoundary) and 2 relationships - All classes use rdfs:subClassOf from Layer 0 base classes Domain registry (ontology_registry.py): - DomainDescriptor dataclass with namespace IRI, prefix, layer, classes, superclass mappings, and DetailLevelMap - Registry functions: get_domain(), list_domains(), get_layer1_domains() - DetailLevelMap chain builder for hierarchical depth resolution - Turtle validation with TurtleValidationError (no rdflib dependency) - All DetailLevelMap data inlined to maintain DIP compliance (domain layer does not import from application layer) DetailLevelMap presets (depth_breadth_projection.py): - code_detail_map: 10 spec-complete levels (depths 0-9) - docs_detail_map: 11 spec-complete levels (depths 0-10) - database_detail_map: 12 spec-complete levels (depths 0-11) - infra_detail_map: 9 spec-complete levels (depths 0-8) Tests: - 31 BDD scenarios in uko_ontology_registry.feature covering domain lookup, all DetailLevelMap levels, inheritance chains, Turtle validation, Universal View Guarantee, and negative/edge cases - 6 Robot Framework integration tests - Updated existing tests: depth_breadth_projection.feature (TABLE_LISTING depth 0->1, added SCHEMA_LISTING), uko_ontology.feature (Layer 1 node count 8->67) Spec reference: docs/specification.md §41830-42332 ISSUES CLOSED: #574	2026-03-06 23:14:30 +00:00
freemo	1d15eca866	feat(acms): implement depth/breadth projection system ... Add the Depth/Breadth Projection System and Skeleton Context Propagation as specified in docs/specification.md §25265-25340 and §43057-43128: - ProjectionSpec: frozen Pydantic model capturing a projection request (focus, breadth, depth, gradient, domain) - ProjectedNode: frozen model for materialized graph nodes with resolved depth and distance - DepthBreadthProjector: stateless BFS projector over UKO graph adjacency with depth gradient (linear reduction by distance) - PlanContextInheritance: service computing child plan context from parent assembled context with skeleton injection - ChildContextResult: frozen result model with request and skeleton - InheritanceConfig: frozen config for skeleton_ratio (default 0.2) - Built-in DetailLevelMap presets for code, docs, and database Includes 27 Behave BDD scenarios, 9 Robot Framework integration tests, and ASV benchmarks for all components. ISSUES CLOSED: #544	2026-03-05 15:42:20 +00:00