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2125_GCE/SYSTEM_STATUS.md
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GlyphRunner System 02a298f44c Fix typo in super_registry and add system documentation
- Fixed function name typo in super_registry.py:303 (load_all_superchattracted → load_all_supercharged)
- Added SYSTEM_STATUS.md with complete feature list and test results
- Added ARCHITECTURE.md with detailed system design and component documentation
- All 28 tests passing (12 registry, 10 bridge, 6 integration suites)
- Full pipeline verified end-to-end
2026-05-20 17:57:38 -04:00

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# SuperDave GlyphRunner - System Status
**Date**: 2026-05-20
**Status**: ✅ All Systems Operational
## Completed Components
### 1. LAIN Cognition Engine ✅
- **File**: `gx_lain/lain_cognition.py`
- **Features**:
- 8-lane symbolic cognition processor
- Lane processors for: structural_logic, semantic_flow, compression_residue, symbolic_metadata, execution_hints, predictive_scaffolding, contributor_imprint, epoch_resonance
- Fused symbol generation from lane results
- Comprehensive execution tracing
### 2. Supercharged Glyph Registry ✅
- **File**: `glyphs/super_registry.py`
- **Data Source**: `/mnt/d/users/dave/Downloads/LEDONOVA/LedoGlyph600.json`
- **Features**:
- 600 supercharged glyphs with 112 superpowers each
- Frequency signatures (praw: P, R, A, W)
- Contributor inheritance (lineage)
- Symbolic anatomy (originalMetrics)
- Activation envelopes and resonance profiles
- API: `get_super()`, `search_super()`, `list_super_ids()`, `list_super_by_category()`, `get_super_by_band()`, `get_glyphs_by_score_range()`
- Helper: `get_super_field()` with dot-notation support
- Stats: `super_stats()` for registry metadata
### 3. LAIN ↔ Glyph Bridge ✅
- **File**: `gx_lain/lain_glyph_bridge.py`
- **Features**:
- `load_glyph_context()`: Load glyph metadata from registry
- `inject_glyph_metadata_into_lane()`: Add glyph fields to lane results
- `compute_glyph_resonance()`: Calculate 4-component resonance metrics
- `augment_fused_symbol_with_glyphs()`: Enhance fused symbol with glyph context
- Resonance formula: 40% activation + 30% frequency + 30% symbolic
### 4. CLI Integration ✅
- **File**: `gx_cli/`
- **New Command**: `gx lain <path> [-m MODE]`
- **Usage**: `python3 -m gx_cli.main lain file.gx`
- **Output**: Fused symbol, key points, diagnostics, glyph resonance
### 5. Runtime Integration ✅
- **File**: `gx_lain/runtime.py`
- **Pipeline**:
1. Load and validate GX binary
2. Load glyph context (step 1)
3. Process 8 lanes with glyph metadata injection (steps 2-9)
4. Fuse lane results with glyph augmentation
5. Compute diagnostics including glyph resonance
- Full cognition_trace with operation markers
## Test Results
### Unit Tests
```
Supercharged Registry Tests: 12/12 PASS ✅
LAIN Glyph Bridge Tests: 10/10 PASS ✅
```
### Integration Tests
```
test_compile.py PASS ✅
test_determinism.py PASS ✅
test_errors.py PASS ✅
test_inspect.py PASS ✅
test_run.py PASS ✅
test_summary.py PASS ✅
Total: 6 test suites, 6 passed, 0 failed
```
### Full Pipeline Verification
```
✅ Python source → GXCompiler → .gx binary
✅ Load GX binary and validate
✅ Normalize segments (0-7)
✅ Load glyph context from registry
✅ Process 8 lanes with glyph injection
✅ Fuse lane results
✅ Augment with glyph metadata
✅ Render output with cognition trace
✅ Output diagnostics with resonance metrics
```
## Example Execution
```bash
# Compile Python source to GX binary
python3 -m gx_cli.main compile source.py -o source.gx
# Execute through LAIN cognition with analysis mode
python3 -m gx_cli.main lain source.gx
# Output includes:
# - Fused symbolic summary (8-lane synthesis)
# - Key points and insights
# - Glyph resonance metrics (activation, frequency, symbolic, overall)
# - Execution diagnostics
```
## Bug Fixes Applied
- Fixed typo in `super_registry.py:303` (`load_all_superchattracted``load_all_supercharged`)
- Verified all imports use relative paths (xic_extensions package)
## Data Files
- LedoGlyph600.json: 2.2 MB, exactly 600 glyphs
- Categories: 8 distinct categories
- Score range: 0-300+
- Bands: 0-41 frequency bands
## Next Steps (Optional)
- Export cognition results to JSON/YAML
- Add visualization for resonance metrics
- Implement batch processing for multiple .gx files
- Add glyph filtering in CLI (`lain --glyph-category communication`)
---
**Project Status**: Ready for deployment or further enhancement
**All systems operational and tested**