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91fb929f6a64be1252cdfabd9c79f04baa7c95fa
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4 Commits

Author SHA1 Message Date
Anto01
91fb929f6a refactor: Centralize NX and environment configuration in config.py 
MAJOR IMPROVEMENT: Single source of truth for all system paths

Now to change NX version or Python environment, edit ONE file (config.py):
  NX_VERSION = "2412"           # Change this for NX updates
  PYTHON_ENV_NAME = "atomizer"  # Change this for env updates

All code automatically uses new paths - no manual file hunting!

New Central Configuration (config.py):
- NX_VERSION: Automatically updates all NX paths
- NX_INSTALLATION_DIR: Derived from version
- NX_RUN_JOURNAL: Path to run_journal.exe
- NX_MATERIAL_LIBRARY: Path to physicalmateriallibrary.xml
- NX_PYTHON_STUBS: Path to Python stubs for intellisense
- PYTHON_ENV_NAME: Python environment name
- PROJECT_ROOT: Auto-detected project root
- Helper functions: get_nx_journal_command(), validate_config(), print_config()

Updated Files to Use Config:
- optimization_engine/nx_updater.py: Uses NX_RUN_JOURNAL from config
- dashboard/api/app.py: Uses NX_RUN_JOURNAL from config
- Both have fallbacks if config unavailable

Benefits:
1. Change NX version in 1 place, not 10+ files
2. Automatic validation of paths on import
3. Helper functions for common operations
4. Clear error messages if paths missing
5. Easy to add new Simcenter versions

Future NX Update Process:
1. Edit config.py: NX_VERSION = "2506"
2. Run: python config.py (verify paths)
3. Done! All code uses NX 2506

Migration Scripts Included:
- migrate_to_config.py: Full migration with documentation
- apply_config_migration.py: Applied to update dashboard

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-17 14:31:33 -05:00
Anto01
8b14f6e800 feat: Add robust NX expression import system for all expression types 
Major Enhancement:
- Implemented .exp file-based expression updates via NX journal scripts
- Fixes critical issue with feature-linked expressions (e.g., hole_count)
- Supports ALL NX expression types including binary-stored ones
- Full 4D design space validation completed successfully

New Components:
1. import_expressions.py - NX journal for .exp file import
   - Uses NXOpen.ExpressionCollection.ImportFromFile()
   - Replace mode overwrites existing values
   - Automatic model update and save
   - Comprehensive error handling

2. export_expressions.py - NX journal for .exp file export
   - Exports all expressions to text format
   - Used for unit detection and verification

3. Enhanced nx_updater.py
   - New update_expressions_via_import() method
   - Automatic unit detection from .exp export
   - Creates study-variable-only .exp files
   - Replaces fragile binary .prt editing

Technical Details:
- .exp Format: [Units]name=value (e.g., [MilliMeter]beam_length=5000)
- Unitless expressions: name=value (e.g., hole_count=10)
- Robustness: Native NX functionality, no regex failures
- Performance: < 1 second per update operation

Validation:
- Simple Beam Optimization study (4D design space)
  * beam_half_core_thickness: 10-40 mm
  * beam_face_thickness: 10-40 mm
  * holes_diameter: 150-450 mm
  * hole_count: 5-15 (integer)

Results:
✅ 3-trial validation completed successfully
✅ All 4 variables update correctly in all trials
✅ Mesh adaptation verified (hole_count: 6, 15, 11 → different mesh sizes)
✅ Trial 0: 5373 CQUAD4 elements (6 holes)
✅ Trial 1: 5158 CQUAD4 + 1 CTRIA3 (15 holes)
✅ Trial 2: 5318 CQUAD4 (11 holes)

Problem Solved:
- hole_count expression was not updating with binary .prt editing
- Expression stored in feature parameter, not accessible via text regex
- Binary format prevented reliable text-based updates

Solution:
- Use NX native expression import/export
- Works for ALL expressions (text and binary-stored)
- Automatic unit handling
- Model update integrated in journal

Documentation:
- New: docs/NX_EXPRESSION_IMPORT_SYSTEM.md (comprehensive guide)
- Updated: CHANGELOG.md with Phase 3.2 progress
- Study: studies/simple_beam_optimization/ (complete example)

Files Added:
- optimization_engine/import_expressions.py
- optimization_engine/export_expressions.py
- docs/NX_EXPRESSION_IMPORT_SYSTEM.md
- studies/simple_beam_optimization/ (full study)

Files Modified:
- optimization_engine/nx_updater.py
- CHANGELOG.md

Compatibility:
- NX 2412 tested and verified
- Python 3.10+
- Works with all NX expression types

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-17 12:34:06 -05:00
Anto01
2f3afc3813 feat: Add substudy system with live history tracking and workflow fixes 
Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-16 21:29:54 -05:00
Anto01
be3b9ee5d5 feat: Add complete optimization runner pipeline 
Implement core optimization engine with:
- OptimizationRunner class with Optuna integration
- NXParameterUpdater for updating .prt file expressions
- Result extractor wrappers for OP2 files
- Complete end-to-end example workflow

Features:
- runner.py: Main optimization loop, multi-objective support, constraint handling
- nx_updater.py: Binary .prt file parameter updates (tested successfully)
- extractors.py: Wrappers for mass/stress/displacement extraction
- run_optimization.py: Complete example showing full workflow

NX Updater tested with bracket example:
- Successfully found 4 expressions (support_angle, tip_thickness, p3, support_blend_radius)
- Updated support_angle 30.0 -> 33.0 and verified

Next steps:
- Install pyNastran for OP2 extraction
- Integrate NX solver execution
- Replace dummy extractors with real OP2 readers

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-15 10:29:33 -05:00