docs/api-lsp-acms-reference
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8ea00f5185 |
fix: restore CI quality tests to passing state (#4175)
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Co-authored-by: Jeffrey Phillips Freeman <the@jeffreyfreeman.me> Co-committed-by: Jeffrey Phillips Freeman <the@jeffreyfreeman.me> |
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e05a577090 |
fix(acms): align DEFAULT_SKELETON_RATIO default value with spec
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Align all DEFAULT_SKELETON_RATIO / _DEFAULT_SKELETON_RATIO constants to the spec-required value of 0.15 (docs/specification.md line 35294). Previously three modules used divergent defaults: - skeleton_compressor.py: 0.3 (2x the spec value) - depth_breadth_projection.py: 0.2 (33% above spec) - project_context.py: 0.2 (33% above spec) This caused child plans to receive 2-3x more skeleton context than intended, and produced inconsistent behaviour depending on whether skeleton compression was invoked via the CLI or the service layer. Changes: - Set DEFAULT_SKELETON_RATIO = 0.15 in skeleton_compressor.py - Set DEFAULT_SKELETON_RATIO = 0.15 in depth_breadth_projection.py - Set _DEFAULT_SKELETON_RATIO = 0.15 in project_context.py - Update Behave feature tests to assert the 0.15 default value - Add new scenario to project_context_cov3.feature asserting _DEFAULT_SKELETON_RATIO == 0.15 in _default_acms_config() ISSUES CLOSED: #2909 |
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137d040c4d |
feat(acms): implement DepthReductionCompressor for skeleton compression
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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 |
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04f24b39c0 |
feat(acms): implement UKO Layer 1 Domain Ontologies (uko-code, uko-doc, uko-data, uko-infra)
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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 |
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1d15eca866 |
feat(acms): implement depth/breadth projection system
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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 |