 GlyphRunner System
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4bc49c90b3
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Implement LAIN ↔ Supercharged Glyph Bridge
New module:
- gx_lain/lain_glyph_bridge.py: Bridge connecting LedoGlyph600 to LAIN cognition
Functions:
- load_glyph_context(manifest, context): Load relevant glyph from registry
- inject_glyph_metadata_into_lane(lane_result, glyph_context): Add glyph fields to lane
- compute_glyph_resonance(glyph_context): Calculate glyph resonance metrics
- augment_fused_symbol_with_glyphs(fused_symbol, glyph_context): Add glyph to final output
Modified:
- gx_lain/runtime.py: Integrate glyph bridge into execute_with_lain()
* Load glyph context as step 1 of cognition
* Inject glyph metadata into each lane result
* Augment fused symbol with glyph context
* Add glyph_resonance to diagnostics
* Track glyph loading in cognition_trace
Tests:
- tests/test_lain_glyph_bridge.py: 10 comprehensive tests
* Context loading (with/without glyph)
* Metadata injection (preserves existing fields)
* Resonance computation (4-component metric)
* Symbol augmentation
* Full integration test
Features:
- Glyph metadata: id, name, category, score, period, band
- Frequency signatures: praw (P, R, A, W)
- Activation envelopes: mode, score
- Lineage: signature, inheritance weight
- Symbolic anatomy: power, complexity, resonance, stability, connectivity, affinity
- Resonance profile: activation + frequency + symbolic metrics (0.0-1.0)
All 18 integration tests still passing (no regressions).
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2026-05-20 17:41:47 -04:00 |
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GlyphRunner System
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f5dba41cf2
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Implement Supercharged Glyph Registry (LedoGlyph600)
New modules:
- glyphs/super_registry.py: Registry for 600 supercharged glyphs
- tests/test_supercharged_registry.py: Comprehensive test suite
Features:
- load_all_supercharged(): Lazy-load 600 glyphs from LedoGlyph600.json
- get_super(): Retrieve glyph by ID with all supercharged fields
- list_super_ids(): List all 600 glyph IDs (sorted)
- search_super(): Search by query across specified fields
- super_stats(): Registry metadata and statistics
- get_super_field(): Nested field access via dot-notation
- list_super_by_category(): Filter by category
- get_super_by_band(): Filter by frequency band
- get_glyphs_by_score_range(): Filter by score range
Data source: /mnt/d/users/dave/Downloads/LEDONOVA/LedoGlyph600.json
Supercharged fields:
- Symbolic anatomy (originalMetrics: power, complexity, resonance, stability, connectivity, affinity)
- Frequency signatures (praw: P, R, A, W)
- Contributor inheritance (lineage: predecessors, siblings, descendants, signature)
- Activation envelopes (activation: vector, score, signature, modes)
- Resonance profiles (activation modes: dormant, present, resonant, overdrive)
- Routing & governance metadata
All 12 tests passing.
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2026-05-20 17:12:30 -04:00 |
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