Anto01
eabcc4c3ca
BREAKING CHANGE: Module paths have been reorganized for better maintainability. Backwards compatibility aliases with deprecation warnings are provided. New Structure: - core/ - Optimization runners (runner, intelligent_optimizer, etc.) - processors/ - Data processing - surrogates/ - Neural network surrogates - nx/ - NX/Nastran integration (solver, updater, session_manager) - study/ - Study management (creator, wizard, state, reset) - reporting/ - Reports and analysis (visualizer, report_generator) - config/ - Configuration management (manager, builder) - utils/ - Utilities (logger, auto_doc, etc.) - future/ - Research/experimental code Migration: - ~200 import changes across 125 files - All __init__.py files use lazy loading to avoid circular imports - Backwards compatibility layer supports old import paths with warnings - All existing functionality preserved To migrate existing code: OLD: from optimization_engine.nx_solver import NXSolver NEW: from optimization_engine.nx.solver import NXSolver OLD: from optimization_engine.runner import OptimizationRunner NEW: from optimization_engine.core.runner import OptimizationRunner 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
128 lines
3.7 KiB
Python
128 lines
3.7 KiB
Python
"""
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Run Benchmarking for Simple Beam Study
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"""
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import sys
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import shutil
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from optimization_engine.study.creator import StudyCreator
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import logging
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logging.basicConfig(level=logging.INFO, format='%(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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def main():
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print()
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print("=" * 80)
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print("SIMPLE BEAM OPTIMIZATION - BENCHMARKING")
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print("=" * 80)
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print()
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print("GOAL: Minimize displacement and weight")
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print()
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creator = StudyCreator()
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# Create study
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study_name = "simple_beam_optimization"
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description = "Minimize displacement and weight of beam"
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study_dir = creator.create_study(study_name, description)
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print(f"[OK] Study: {study_dir}")
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print()
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# Copy models
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source_dir = Path("examples/Models/Simple Beam")
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prt_dest = study_dir / "model" / "Beam.prt"
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sim_dest = study_dir / "model" / "Beam_sim1.sim"
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fem_prt_dest = study_dir / "model" / "Beam_fem1_i.prt"
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fem_dest = study_dir / "model" / "Beam_fem1.fem"
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shutil.copy2(source_dir / "Beam.prt", prt_dest)
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shutil.copy2(source_dir / "Beam_sim1.sim", sim_dest)
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shutil.copy2(source_dir / "Beam_fem1_i.prt", fem_prt_dest)
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shutil.copy2(source_dir / "Beam_fem1.fem", fem_dest)
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print("[OK] Models copied (including .fem file)")
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print()
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# Run benchmarking
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print("Running benchmarking...")
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print()
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try:
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results = creator.run_benchmarking(study_dir, prt_dest, sim_dest)
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print()
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print("=" * 80)
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print("BENCHMARKING RESULTS")
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print("=" * 80)
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print()
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if results.validation_passed:
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print("[PASS] Validation successful")
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else:
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print("[FAIL] Validation failed")
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for error in results.errors:
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print(f" Error: {error}")
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return False
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print()
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print(f"Expressions found: {results.expression_count}")
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for name, info in results.expressions.items():
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print(f" - {name}: {info['value']} {info['units']}")
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print()
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print("OP2 Analysis:")
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print(f" Elements: {', '.join(results.element_types)}")
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print(f" Results: {', '.join(results.result_types)}")
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print(f" Nodes: {results.node_count}, Elements: {results.element_count}")
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print()
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print("Baseline Performance:")
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for key, value in results.baseline_results.items():
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print(f" - {key}: {value}")
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print()
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print(f"Proposed Design Variables: {len(results.proposed_design_variables)}")
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for var in results.proposed_design_variables:
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print(f" - {var['parameter']}: {var['suggested_range']}")
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print()
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print(f"Proposed Extractors: {len(results.proposed_extractors)}")
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for ext in results.proposed_extractors:
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print(f" - {ext['action']}: {ext['description']}")
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print()
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print(f"Proposed Objectives: {len(results.proposed_objectives)}")
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for obj in results.proposed_objectives:
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print(f" - {obj}")
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print()
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print("=" * 80)
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print("NEXT STEPS")
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print("=" * 80)
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print()
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print("1. Review benchmark report:")
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print(f" {study_dir / 'substudies/benchmarking/BENCHMARK_REPORT.md'}")
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print()
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print("2. I will analyze and propose optimization setup")
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print()
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return True
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except Exception as e:
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print()
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print(f"[FAIL] Benchmarking failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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if __name__ == '__main__':
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success = main()
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sys.exit(0 if success else 1)
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