fix: Stop passing design_vars to simulation_runner to match working 50-trial workflow
**CRITICAL FIX**: FEM results were identical across trials **Root Cause**: The LLM runner was passing design_vars to simulation_runner(), which then passed them to NX Solver's expression_updates parameter. The solve journal tried to update hardcoded expression names (tip_thickness, support_angle) that don't exist in the beam model, causing the solver to ignore updates and use cached geometry. **Solution**: Match the working 50-trial optimization workflow: 1. model_updater() updates PRT file via NX import journal 2. Part file is closed/flushed to disk 3. simulation_runner() runs WITHOUT passing design_vars 4. NX solver loads SIM file, which references the updated PRT from disk 5. FEM regenerates with updated geometry automatically **Changes**: - llm_optimization_runner.py: Call simulation_runner() without arguments - run_optimization.py: Remove design_vars parameter from simulation_runner closure - import_expressions.py: Added theSession.Parts.CloseAll() to flush changes - test_phase_3_2_e2e.py: Fixed remaining variable name bugs **Test Results**: ✅ Trial 0: objective 7,315,679 ✅ Trial 1: objective 9,158.67 ✅ Trial 2: objective 7,655.28 FEM results are now DIFFERENT for each trial - optimization working correctly! **Remaining Issue**: LLM parsing "20 to 30 mm" as 0-1 range (separate fix needed)
This commit is contained in:
@@ -225,8 +225,11 @@ class LLMOptimizationRunner:
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# STEP 3: Run Simulation
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# ====================================================================
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logger.info("Running simulation...")
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# Pass design_vars to simulation_runner so NX journal can update expressions
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op2_file = self.simulation_runner(design_vars)
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# NOTE: We do NOT pass design_vars to simulation_runner because:
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# 1. The PRT file was already updated by model_updater (via NX import journal)
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# 2. The solver just needs to load the SIM which references the updated PRT
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# 3. Passing design_vars would use hardcoded expression names that don't match our model
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op2_file = self.simulation_runner()
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logger.info(f"Simulation complete: {op2_file}")
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# Execute post-solve hooks
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@@ -207,8 +207,12 @@ def run_llm_mode(args) -> Dict[str, Any]:
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updater.update_expressions(design_vars)
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solver = NXSolver(nastran_version=args.nastran_version, use_journal=True)
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def simulation_runner(design_vars: dict) -> Path:
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result = solver.run_simulation(args.sim, expression_updates=design_vars)
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def simulation_runner() -> Path:
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# NOTE: We do NOT pass expression_updates because:
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# 1. The PRT file was already updated by model_updater (via NX import journal)
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# 2. The solver just needs to load the SIM which references the updated PRT from disk
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# 3. This matches the working 50-trial optimization workflow
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result = solver.run_simulation(args.sim)
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return result['op2_file']
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logger.info(" Model updater ready")
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@@ -1,56 +0,0 @@
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"""
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Extract maximum displacement from simulation results
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Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
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Pattern: displacement
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Element Type: General
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Result Type: displacement
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API: model.displacements[subcase]
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"""
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from pathlib import Path
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from typing import Dict, Any
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import numpy as np
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from pyNastran.op2.op2 import OP2
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def extract_displacement(op2_file: Path, subcase: int = 1):
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"""Extract displacement results from OP2 file."""
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from pyNastran.op2.op2 import OP2
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import numpy as np
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model = OP2()
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model.read_op2(str(op2_file))
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disp = model.displacements[subcase]
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itime = 0 # static case
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# Extract translation components
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txyz = disp.data[itime, :, :3] # [tx, ty, tz]
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# Calculate total displacement
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total_disp = np.linalg.norm(txyz, axis=1)
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max_disp = np.max(total_disp)
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# Get node info
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node_ids = [nid for (nid, grid_type) in disp.node_gridtype]
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max_disp_node = node_ids[np.argmax(total_disp)]
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return {
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'max_displacement': float(max_disp),
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'max_disp_node': int(max_disp_node),
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'max_disp_x': float(np.max(np.abs(txyz[:, 0]))),
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'max_disp_y': float(np.max(np.abs(txyz[:, 1]))),
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'max_disp_z': float(np.max(np.abs(txyz[:, 2])))
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}
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if __name__ == '__main__':
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# Example usage
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import sys
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if len(sys.argv) > 1:
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op2_file = Path(sys.argv[1])
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result = extract_displacement(op2_file)
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print(f"Extraction result: {result}")
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else:
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print("Usage: python {sys.argv[0]} <op2_file>")
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@@ -1,39 +0,0 @@
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"""
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Extract total mass from model
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Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
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Pattern: generic_extraction
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Element Type: General
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Result Type: unknown
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API: model.<result_type>[subcase]
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"""
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from pathlib import Path
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from typing import Dict, Any
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import numpy as np
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from pyNastran.op2.op2 import OP2
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def extract_generic(op2_file: Path):
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"""Generic OP2 extraction - needs customization."""
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from pyNastran.op2.op2 import OP2
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model = OP2()
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model.read_op2(str(op2_file))
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# TODO: Customize extraction based on requirements
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# Available: model.displacements, model.ctetra_stress, etc.
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# Use model.get_op2_stats() to see available results
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return {'result': None}
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if __name__ == '__main__':
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# Example usage
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import sys
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if len(sys.argv) > 1:
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op2_file = Path(sys.argv[1])
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result = extract_generic(op2_file)
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print(f"Extraction result: {result}")
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else:
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print("Usage: python {sys.argv[0]} <op2_file>")
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@@ -1,64 +0,0 @@
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"""
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Extract maximum von Mises stress from simulation results
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Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
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Pattern: solid_stress
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Element Type: CTETRA
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Result Type: stress
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API: model.ctetra_stress[subcase] or model.chexa_stress[subcase]
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"""
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from pathlib import Path
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from typing import Dict, Any
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import numpy as np
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from pyNastran.op2.op2 import OP2
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def extract_solid_stress(op2_file: Path, subcase: int = 1, element_type: str = 'ctetra'):
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"""Extract stress from solid elements."""
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from pyNastran.op2.op2 import OP2
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import numpy as np
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model = OP2()
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model.read_op2(str(op2_file))
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# Get stress object for element type
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# In pyNastran, stress is stored in model.op2_results.stress
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stress_attr = f"{element_type}_stress"
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if not hasattr(model, 'op2_results') or not hasattr(model.op2_results, 'stress'):
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raise ValueError(f"No stress results in OP2")
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stress_obj = model.op2_results.stress
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if not hasattr(stress_obj, stress_attr):
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raise ValueError(f"No {element_type} stress results in OP2")
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stress = getattr(stress_obj, stress_attr)[subcase]
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itime = 0
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# Extract von Mises if available
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if stress.is_von_mises: # Property, not method
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von_mises = stress.data[itime, :, 9] # Column 9 is von Mises
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max_stress = float(np.max(von_mises))
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# Get element info
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element_ids = [eid for (eid, node) in stress.element_node]
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max_stress_elem = element_ids[np.argmax(von_mises)]
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return {
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'max_von_mises': max_stress,
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'max_stress_element': int(max_stress_elem)
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}
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else:
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raise ValueError("von Mises stress not available")
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if __name__ == '__main__':
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# Example usage
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import sys
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if len(sys.argv) > 1:
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op2_file = Path(sys.argv[1])
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result = extract_solid_stress(op2_file)
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print(f"Extraction result: {result}")
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else:
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print("Usage: python {sys.argv[0]} <op2_file>")
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@@ -1,50 +0,0 @@
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[
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{
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"trial_number": 0,
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"design_variables": {
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"beam_half_core_thickness": 0.8723317421947234,
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"beam_face_thickness": 0.17588076114040685
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},
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"results": {
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"max_displacement": 22.118558883666992,
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"max_disp_node": 5186.0,
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"max_disp_x": 1.4659312963485718,
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"max_disp_y": 0.021927518770098686,
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"max_disp_z": 22.07024574279785
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},
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"calculations": {},
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"objective": 22.118558883666992
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},
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{
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"trial_number": 1,
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"design_variables": {
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"beam_half_core_thickness": 0.15876778707832584,
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"beam_face_thickness": 0.607712401606436
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},
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"results": {
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"max_displacement": 22.118558883666992,
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"max_disp_node": 5186.0,
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"max_disp_x": 1.4659312963485718,
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"max_disp_y": 0.021927518770098686,
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"max_disp_z": 22.07024574279785
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},
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"calculations": {},
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"objective": 22.118558883666992
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},
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{
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"trial_number": 2,
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"design_variables": {
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"beam_half_core_thickness": 0.05067172698672462,
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"beam_face_thickness": 0.9034405496402335
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},
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"results": {
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"max_displacement": 22.118558883666992,
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"max_disp_node": 5186.0,
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"max_disp_x": 1.4659312963485718,
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"max_disp_y": 0.021927518770098686,
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"max_disp_z": 22.07024574279785
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},
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"calculations": {},
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"objective": 22.118558883666992
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}
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]
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@@ -1,11 +0,0 @@
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{
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"best_params": {
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"beam_half_core_thickness": 0.8723317421947234,
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"beam_face_thickness": 0.17588076114040685
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},
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"best_value": 22.118558883666992,
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"best_trial_number": 0,
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"timestamp": "2025-11-17T21:10:42.032661",
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"study_name": "test_e2e_3trials_20251117_210933",
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"n_trials": 3
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}
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@@ -1,39 +0,0 @@
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"""
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Extract total structural mass from analysis results
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Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
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Pattern: generic_extraction
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Element Type: General
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Result Type: unknown
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API: model.<result_type>[subcase]
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"""
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from pathlib import Path
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from typing import Dict, Any
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import numpy as np
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from pyNastran.op2.op2 import OP2
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def extract_generic(op2_file: Path):
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"""Generic OP2 extraction - needs customization."""
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from pyNastran.op2.op2 import OP2
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model = OP2()
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model.read_op2(str(op2_file))
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# TODO: Customize extraction based on requirements
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# Available: model.displacements, model.ctetra_stress, etc.
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# Use model.get_op2_stats() to see available results
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return {'result': None}
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if __name__ == '__main__':
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# Example usage
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import sys
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if len(sys.argv) > 1:
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op2_file = Path(sys.argv[1])
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result = extract_generic(op2_file)
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print(f"Extraction result: {result}")
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else:
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print("Usage: python {sys.argv[0]} <op2_file>")
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@@ -1,56 +0,0 @@
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"""
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Extract maximum displacement from OP2 results
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Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
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Pattern: displacement
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Element Type: General
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Result Type: displacement
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API: model.displacements[subcase]
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"""
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from pathlib import Path
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from typing import Dict, Any
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import numpy as np
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from pyNastran.op2.op2 import OP2
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def extract_displacement(op2_file: Path, subcase: int = 1):
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"""Extract displacement results from OP2 file."""
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from pyNastran.op2.op2 import OP2
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import numpy as np
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model = OP2()
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model.read_op2(str(op2_file))
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disp = model.displacements[subcase]
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itime = 0 # static case
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# Extract translation components
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txyz = disp.data[itime, :, :3] # [tx, ty, tz]
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# Calculate total displacement
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total_disp = np.linalg.norm(txyz, axis=1)
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max_disp = np.max(total_disp)
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# Get node info
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node_ids = [nid for (nid, grid_type) in disp.node_gridtype]
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max_disp_node = node_ids[np.argmax(total_disp)]
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return {
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'max_displacement': float(max_disp),
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'max_disp_node': int(max_disp_node),
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'max_disp_x': float(np.max(np.abs(txyz[:, 0]))),
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'max_disp_y': float(np.max(np.abs(txyz[:, 1]))),
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'max_disp_z': float(np.max(np.abs(txyz[:, 2])))
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}
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if __name__ == '__main__':
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# Example usage
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import sys
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if len(sys.argv) > 1:
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op2_file = Path(sys.argv[1])
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result = extract_displacement(op2_file)
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print(f"Extraction result: {result}")
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else:
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print("Usage: python {sys.argv[0]} <op2_file>")
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@@ -1,64 +0,0 @@
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"""
|
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Extract von Mises stress from OP2 results
|
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Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
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Pattern: solid_stress
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Element Type: CTETRA
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Result Type: stress
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API: model.ctetra_stress[subcase] or model.chexa_stress[subcase]
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"""
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from pathlib import Path
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from typing import Dict, Any
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import numpy as np
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from pyNastran.op2.op2 import OP2
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def extract_solid_stress(op2_file: Path, subcase: int = 1, element_type: str = 'ctetra'):
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"""Extract stress from solid elements."""
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from pyNastran.op2.op2 import OP2
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import numpy as np
|
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model = OP2()
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model.read_op2(str(op2_file))
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|
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# Get stress object for element type
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# In pyNastran, stress is stored in model.op2_results.stress
|
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stress_attr = f"{element_type}_stress"
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if not hasattr(model, 'op2_results') or not hasattr(model.op2_results, 'stress'):
|
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raise ValueError(f"No stress results in OP2")
|
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stress_obj = model.op2_results.stress
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if not hasattr(stress_obj, stress_attr):
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raise ValueError(f"No {element_type} stress results in OP2")
|
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stress = getattr(stress_obj, stress_attr)[subcase]
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itime = 0
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# Extract von Mises if available
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if stress.is_von_mises: # Property, not method
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von_mises = stress.data[itime, :, 9] # Column 9 is von Mises
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max_stress = float(np.max(von_mises))
|
||||
|
||||
# Get element info
|
||||
element_ids = [eid for (eid, node) in stress.element_node]
|
||||
max_stress_elem = element_ids[np.argmax(von_mises)]
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||||
|
||||
return {
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'max_von_mises': max_stress,
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'max_stress_element': int(max_stress_elem)
|
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}
|
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else:
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raise ValueError("von Mises stress not available")
|
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|
||||
|
||||
if __name__ == '__main__':
|
||||
# Example usage
|
||||
import sys
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if len(sys.argv) > 1:
|
||||
op2_file = Path(sys.argv[1])
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||||
result = extract_solid_stress(op2_file)
|
||||
print(f"Extraction result: {result}")
|
||||
else:
|
||||
print("Usage: python {sys.argv[0]} <op2_file>")
|
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@@ -1,72 +0,0 @@
|
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"""
|
||||
Evaluate stress constraint
|
||||
Auto-generated lifecycle hook by Atomizer Phase 2.9
|
||||
|
||||
Hook Point: post_calculation
|
||||
Inputs: max_von_mises_stress
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Outputs: constraint, constraint_satisfied, constraint_violation
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"""
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|
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import logging
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from typing import Dict, Any, Optional
|
||||
|
||||
logger = logging.getLogger(__name__)
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||||
|
||||
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def constraint_hook(context: Dict[str, Any]) -> Optional[Dict[str, Any]]:
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||||
"""
|
||||
Evaluate stress constraint
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Args:
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||||
context: Hook context containing:
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||||
- trial_number: Current optimization trial
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||||
- results: Dictionary with extracted FEA results
|
||||
- calculations: Dictionary with inline calculation results
|
||||
|
||||
Returns:
|
||||
Dictionary with calculated values to add to context
|
||||
"""
|
||||
logger.info(f"Executing constraint_hook for trial {context.get('trial_number', 'unknown')}")
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||||
|
||||
# Extract inputs from context
|
||||
results = context.get('results', {})
|
||||
calculations = context.get('calculations', {})
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||||
|
||||
max_von_mises_stress = calculations.get('max_von_mises_stress') or results.get('max_von_mises_stress')
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||||
if max_von_mises_stress is None:
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||||
logger.error(f"Required input 'max_von_mises_stress' not found in context")
|
||||
raise ValueError(f"Missing required input: max_von_mises_stress")
|
||||
|
||||
# Check constraint
|
||||
value = max_von_mises_stress / 1.0
|
||||
satisfied = value <= 1.0
|
||||
violation = max(0.0, value - 1.0)
|
||||
|
||||
status = "SATISFIED" if satisfied else "VIOLATED"
|
||||
logger.info(f"Constraint {status}: {value:.6f} (threshold: 1.0)")
|
||||
|
||||
return {
|
||||
'constraint': value,
|
||||
'constraint_satisfied': satisfied,
|
||||
'constraint_violation': violation
|
||||
}
|
||||
|
||||
|
||||
def register_hooks(hook_manager):
|
||||
"""
|
||||
Register this hook with the HookManager.
|
||||
|
||||
This function is called automatically when the plugin is loaded.
|
||||
|
||||
Args:
|
||||
hook_manager: The HookManager instance
|
||||
"""
|
||||
hook_manager.register_hook(
|
||||
hook_point='post_calculation',
|
||||
function=constraint_hook,
|
||||
description="Evaluate stress constraint",
|
||||
name="constraint_hook",
|
||||
priority=100,
|
||||
enabled=True
|
||||
)
|
||||
logger.info(f"Registered constraint_hook at post_calculation")
|
||||
@@ -1,50 +0,0 @@
|
||||
[
|
||||
{
|
||||
"trial_number": 0,
|
||||
"design_variables": {
|
||||
"beam_half_core_thickness": 0.9173900726469443,
|
||||
"beam_face_thickness": 0.16579089837702876
|
||||
},
|
||||
"results": {
|
||||
"max_displacement": 22.118558883666992,
|
||||
"max_disp_node": 5186.0,
|
||||
"max_disp_x": 1.4659312963485718,
|
||||
"max_disp_y": 0.021927518770098686,
|
||||
"max_disp_z": 22.07024574279785
|
||||
},
|
||||
"calculations": {},
|
||||
"objective": 22.118558883666992
|
||||
},
|
||||
{
|
||||
"trial_number": 1,
|
||||
"design_variables": {
|
||||
"beam_half_core_thickness": 0.4734084174808131,
|
||||
"beam_face_thickness": 0.21389447965746633
|
||||
},
|
||||
"results": {
|
||||
"max_displacement": 22.118558883666992,
|
||||
"max_disp_node": 5186.0,
|
||||
"max_disp_x": 1.4659312963485718,
|
||||
"max_disp_y": 0.021927518770098686,
|
||||
"max_disp_z": 22.07024574279785
|
||||
},
|
||||
"calculations": {},
|
||||
"objective": 22.118558883666992
|
||||
},
|
||||
{
|
||||
"trial_number": 2,
|
||||
"design_variables": {
|
||||
"beam_half_core_thickness": 0.28158671645718203,
|
||||
"beam_face_thickness": 0.6940495616914318
|
||||
},
|
||||
"results": {
|
||||
"max_displacement": 22.118558883666992,
|
||||
"max_disp_node": 5186.0,
|
||||
"max_disp_x": 1.4659312963485718,
|
||||
"max_disp_y": 0.021927518770098686,
|
||||
"max_disp_z": 22.07024574279785
|
||||
},
|
||||
"calculations": {},
|
||||
"objective": 22.118558883666992
|
||||
}
|
||||
]
|
||||
@@ -1,11 +0,0 @@
|
||||
{
|
||||
"best_params": {
|
||||
"beam_half_core_thickness": 0.9173900726469443,
|
||||
"beam_face_thickness": 0.16579089837702876
|
||||
},
|
||||
"best_value": 22.118558883666992,
|
||||
"best_trial_number": 0,
|
||||
"timestamp": "2025-11-17T21:13:26.644967",
|
||||
"study_name": "test_e2e_3trials_20251117_211216",
|
||||
"n_trials": 3
|
||||
}
|
||||
Binary file not shown.
@@ -1,72 +0,0 @@
|
||||
"""
|
||||
Verify maximum displacement constraint is satisfied
|
||||
Auto-generated lifecycle hook by Atomizer Phase 2.9
|
||||
|
||||
Hook Point: post_calculation
|
||||
Inputs: max_displacement
|
||||
Outputs: constraint, constraint_satisfied, constraint_violation
|
||||
"""
|
||||
|
||||
import logging
|
||||
from typing import Dict, Any, Optional
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def constraint_hook(context: Dict[str, Any]) -> Optional[Dict[str, Any]]:
|
||||
"""
|
||||
Verify maximum displacement constraint is satisfied
|
||||
|
||||
Args:
|
||||
context: Hook context containing:
|
||||
- trial_number: Current optimization trial
|
||||
- results: Dictionary with extracted FEA results
|
||||
- calculations: Dictionary with inline calculation results
|
||||
|
||||
Returns:
|
||||
Dictionary with calculated values to add to context
|
||||
"""
|
||||
logger.info(f"Executing constraint_hook for trial {context.get('trial_number', 'unknown')}")
|
||||
|
||||
# Extract inputs from context
|
||||
results = context.get('results', {})
|
||||
calculations = context.get('calculations', {})
|
||||
|
||||
max_displacement = calculations.get('max_displacement') or results.get('max_displacement')
|
||||
if max_displacement is None:
|
||||
logger.error(f"Required input 'max_displacement' not found in context")
|
||||
raise ValueError(f"Missing required input: max_displacement")
|
||||
|
||||
# Check constraint
|
||||
value = max_displacement / 1.0
|
||||
satisfied = value <= 1.0
|
||||
violation = max(0.0, value - 1.0)
|
||||
|
||||
status = "SATISFIED" if satisfied else "VIOLATED"
|
||||
logger.info(f"Constraint {status}: {value:.6f} (threshold: 1.0)")
|
||||
|
||||
return {
|
||||
'constraint': value,
|
||||
'constraint_satisfied': satisfied,
|
||||
'constraint_violation': violation
|
||||
}
|
||||
|
||||
|
||||
def register_hooks(hook_manager):
|
||||
"""
|
||||
Register this hook with the HookManager.
|
||||
|
||||
This function is called automatically when the plugin is loaded.
|
||||
|
||||
Args:
|
||||
hook_manager: The HookManager instance
|
||||
"""
|
||||
hook_manager.register_hook(
|
||||
hook_point='post_calculation',
|
||||
function=constraint_hook,
|
||||
description="Verify maximum displacement constraint is satisfied",
|
||||
name="constraint_hook",
|
||||
priority=100,
|
||||
enabled=True
|
||||
)
|
||||
logger.info(f"Registered constraint_hook at post_calculation")
|
||||
@@ -1,72 +0,0 @@
|
||||
"""
|
||||
Verify von Mises stress constraint is satisfied
|
||||
Auto-generated lifecycle hook by Atomizer Phase 2.9
|
||||
|
||||
Hook Point: post_calculation
|
||||
Inputs: max_von_mises_stress
|
||||
Outputs: constraint, constraint_satisfied, constraint_violation
|
||||
"""
|
||||
|
||||
import logging
|
||||
from typing import Dict, Any, Optional
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def constraint_hook(context: Dict[str, Any]) -> Optional[Dict[str, Any]]:
|
||||
"""
|
||||
Verify von Mises stress constraint is satisfied
|
||||
|
||||
Args:
|
||||
context: Hook context containing:
|
||||
- trial_number: Current optimization trial
|
||||
- results: Dictionary with extracted FEA results
|
||||
- calculations: Dictionary with inline calculation results
|
||||
|
||||
Returns:
|
||||
Dictionary with calculated values to add to context
|
||||
"""
|
||||
logger.info(f"Executing constraint_hook for trial {context.get('trial_number', 'unknown')}")
|
||||
|
||||
# Extract inputs from context
|
||||
results = context.get('results', {})
|
||||
calculations = context.get('calculations', {})
|
||||
|
||||
max_von_mises_stress = calculations.get('max_von_mises_stress') or results.get('max_von_mises_stress')
|
||||
if max_von_mises_stress is None:
|
||||
logger.error(f"Required input 'max_von_mises_stress' not found in context")
|
||||
raise ValueError(f"Missing required input: max_von_mises_stress")
|
||||
|
||||
# Check constraint
|
||||
value = max_von_mises_stress / 1.0
|
||||
satisfied = value <= 1.0
|
||||
violation = max(0.0, value - 1.0)
|
||||
|
||||
status = "SATISFIED" if satisfied else "VIOLATED"
|
||||
logger.info(f"Constraint {status}: {value:.6f} (threshold: 1.0)")
|
||||
|
||||
return {
|
||||
'constraint': value,
|
||||
'constraint_satisfied': satisfied,
|
||||
'constraint_violation': violation
|
||||
}
|
||||
|
||||
|
||||
def register_hooks(hook_manager):
|
||||
"""
|
||||
Register this hook with the HookManager.
|
||||
|
||||
This function is called automatically when the plugin is loaded.
|
||||
|
||||
Args:
|
||||
hook_manager: The HookManager instance
|
||||
"""
|
||||
hook_manager.register_hook(
|
||||
hook_point='post_calculation',
|
||||
function=constraint_hook,
|
||||
description="Verify von Mises stress constraint is satisfied",
|
||||
name="constraint_hook",
|
||||
priority=100,
|
||||
enabled=True
|
||||
)
|
||||
logger.info(f"Registered constraint_hook at post_calculation")
|
||||
@@ -1,18 +0,0 @@
|
||||
[
|
||||
{
|
||||
"trial_number": 0,
|
||||
"design_variables": {
|
||||
"beam_half_core_thickness": 0.21839456732865625,
|
||||
"beam_face_thickness": 0.32902432018790606
|
||||
},
|
||||
"results": {
|
||||
"max_displacement": 76444.203125,
|
||||
"max_disp_node": 5244.0,
|
||||
"max_disp_x": 94.31665802001953,
|
||||
"max_disp_y": 1.4079378843307495,
|
||||
"max_disp_z": 76444.1484375
|
||||
},
|
||||
"calculations": {},
|
||||
"objective": 76444.203125
|
||||
}
|
||||
]
|
||||
Binary file not shown.
@@ -1,39 +0,0 @@
|
||||
"""
|
||||
Calculate total structural mass
|
||||
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
||||
|
||||
Pattern: generic_extraction
|
||||
Element Type: General
|
||||
Result Type: unknown
|
||||
API: model.<result_type>[subcase]
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any
|
||||
import numpy as np
|
||||
from pyNastran.op2.op2 import OP2
|
||||
|
||||
|
||||
def extract_generic(op2_file: Path):
|
||||
"""Generic OP2 extraction - needs customization."""
|
||||
from pyNastran.op2.op2 import OP2
|
||||
|
||||
model = OP2()
|
||||
model.read_op2(str(op2_file))
|
||||
|
||||
# TODO: Customize extraction based on requirements
|
||||
# Available: model.displacements, model.ctetra_stress, etc.
|
||||
# Use model.get_op2_stats() to see available results
|
||||
|
||||
return {'result': None}
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# Example usage
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
op2_file = Path(sys.argv[1])
|
||||
result = extract_generic(op2_file)
|
||||
print(f"Extraction result: {result}")
|
||||
else:
|
||||
print("Usage: python {sys.argv[0]} <op2_file>")
|
||||
@@ -1,56 +0,0 @@
|
||||
"""
|
||||
Extract maximum displacement from structural analysis
|
||||
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
||||
|
||||
Pattern: displacement
|
||||
Element Type: General
|
||||
Result Type: displacement
|
||||
API: model.displacements[subcase]
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any
|
||||
import numpy as np
|
||||
from pyNastran.op2.op2 import OP2
|
||||
|
||||
|
||||
def extract_displacement(op2_file: Path, subcase: int = 1):
|
||||
"""Extract displacement results from OP2 file."""
|
||||
from pyNastran.op2.op2 import OP2
|
||||
import numpy as np
|
||||
|
||||
model = OP2()
|
||||
model.read_op2(str(op2_file))
|
||||
|
||||
disp = model.displacements[subcase]
|
||||
itime = 0 # static case
|
||||
|
||||
# Extract translation components
|
||||
txyz = disp.data[itime, :, :3] # [tx, ty, tz]
|
||||
|
||||
# Calculate total displacement
|
||||
total_disp = np.linalg.norm(txyz, axis=1)
|
||||
max_disp = np.max(total_disp)
|
||||
|
||||
# Get node info
|
||||
node_ids = [nid for (nid, grid_type) in disp.node_gridtype]
|
||||
max_disp_node = node_ids[np.argmax(total_disp)]
|
||||
|
||||
return {
|
||||
'max_displacement': float(max_disp),
|
||||
'max_disp_node': int(max_disp_node),
|
||||
'max_disp_x': float(np.max(np.abs(txyz[:, 0]))),
|
||||
'max_disp_y': float(np.max(np.abs(txyz[:, 1]))),
|
||||
'max_disp_z': float(np.max(np.abs(txyz[:, 2])))
|
||||
}
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# Example usage
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
op2_file = Path(sys.argv[1])
|
||||
result = extract_displacement(op2_file)
|
||||
print(f"Extraction result: {result}")
|
||||
else:
|
||||
print("Usage: python {sys.argv[0]} <op2_file>")
|
||||
@@ -1,64 +0,0 @@
|
||||
"""
|
||||
Extract von Mises stress from structural analysis
|
||||
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
||||
|
||||
Pattern: solid_stress
|
||||
Element Type: CTETRA
|
||||
Result Type: stress
|
||||
API: model.ctetra_stress[subcase] or model.chexa_stress[subcase]
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any
|
||||
import numpy as np
|
||||
from pyNastran.op2.op2 import OP2
|
||||
|
||||
|
||||
def extract_solid_stress(op2_file: Path, subcase: int = 1, element_type: str = 'ctetra'):
|
||||
"""Extract stress from solid elements."""
|
||||
from pyNastran.op2.op2 import OP2
|
||||
import numpy as np
|
||||
|
||||
model = OP2()
|
||||
model.read_op2(str(op2_file))
|
||||
|
||||
# Get stress object for element type
|
||||
# In pyNastran, stress is stored in model.op2_results.stress
|
||||
stress_attr = f"{element_type}_stress"
|
||||
|
||||
if not hasattr(model, 'op2_results') or not hasattr(model.op2_results, 'stress'):
|
||||
raise ValueError(f"No stress results in OP2")
|
||||
|
||||
stress_obj = model.op2_results.stress
|
||||
if not hasattr(stress_obj, stress_attr):
|
||||
raise ValueError(f"No {element_type} stress results in OP2")
|
||||
|
||||
stress = getattr(stress_obj, stress_attr)[subcase]
|
||||
itime = 0
|
||||
|
||||
# Extract von Mises if available
|
||||
if stress.is_von_mises: # Property, not method
|
||||
von_mises = stress.data[itime, :, 9] # Column 9 is von Mises
|
||||
max_stress = float(np.max(von_mises))
|
||||
|
||||
# Get element info
|
||||
element_ids = [eid for (eid, node) in stress.element_node]
|
||||
max_stress_elem = element_ids[np.argmax(von_mises)]
|
||||
|
||||
return {
|
||||
'max_von_mises': max_stress,
|
||||
'max_stress_element': int(max_stress_elem)
|
||||
}
|
||||
else:
|
||||
raise ValueError("von Mises stress not available")
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# Example usage
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
op2_file = Path(sys.argv[1])
|
||||
result = extract_solid_stress(op2_file)
|
||||
print(f"Extraction result: {result}")
|
||||
else:
|
||||
print("Usage: python {sys.argv[0]} <op2_file>")
|
||||
Binary file not shown.
@@ -1,56 +0,0 @@
|
||||
"""
|
||||
Extract maximum displacement from structural analysis
|
||||
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
||||
|
||||
Pattern: displacement
|
||||
Element Type: General
|
||||
Result Type: displacement
|
||||
API: model.displacements[subcase]
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any
|
||||
import numpy as np
|
||||
from pyNastran.op2.op2 import OP2
|
||||
|
||||
|
||||
def extract_displacement(op2_file: Path, subcase: int = 1):
|
||||
"""Extract displacement results from OP2 file."""
|
||||
from pyNastran.op2.op2 import OP2
|
||||
import numpy as np
|
||||
|
||||
model = OP2()
|
||||
model.read_op2(str(op2_file))
|
||||
|
||||
disp = model.displacements[subcase]
|
||||
itime = 0 # static case
|
||||
|
||||
# Extract translation components
|
||||
txyz = disp.data[itime, :, :3] # [tx, ty, tz]
|
||||
|
||||
# Calculate total displacement
|
||||
total_disp = np.linalg.norm(txyz, axis=1)
|
||||
max_disp = np.max(total_disp)
|
||||
|
||||
# Get node info
|
||||
node_ids = [nid for (nid, grid_type) in disp.node_gridtype]
|
||||
max_disp_node = node_ids[np.argmax(total_disp)]
|
||||
|
||||
return {
|
||||
'max_displacement': float(max_disp),
|
||||
'max_disp_node': int(max_disp_node),
|
||||
'max_disp_x': float(np.max(np.abs(txyz[:, 0]))),
|
||||
'max_disp_y': float(np.max(np.abs(txyz[:, 1]))),
|
||||
'max_disp_z': float(np.max(np.abs(txyz[:, 2])))
|
||||
}
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# Example usage
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
op2_file = Path(sys.argv[1])
|
||||
result = extract_displacement(op2_file)
|
||||
print(f"Extraction result: {result}")
|
||||
else:
|
||||
print("Usage: python {sys.argv[0]} <op2_file>")
|
||||
@@ -1,39 +0,0 @@
|
||||
"""
|
||||
Extract total structural mass
|
||||
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
||||
|
||||
Pattern: generic_extraction
|
||||
Element Type: General
|
||||
Result Type: unknown
|
||||
API: model.<result_type>[subcase]
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any
|
||||
import numpy as np
|
||||
from pyNastran.op2.op2 import OP2
|
||||
|
||||
|
||||
def extract_generic(op2_file: Path):
|
||||
"""Generic OP2 extraction - needs customization."""
|
||||
from pyNastran.op2.op2 import OP2
|
||||
|
||||
model = OP2()
|
||||
model.read_op2(str(op2_file))
|
||||
|
||||
# TODO: Customize extraction based on requirements
|
||||
# Available: model.displacements, model.ctetra_stress, etc.
|
||||
# Use model.get_op2_stats() to see available results
|
||||
|
||||
return {'result': None}
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# Example usage
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
op2_file = Path(sys.argv[1])
|
||||
result = extract_generic(op2_file)
|
||||
print(f"Extraction result: {result}")
|
||||
else:
|
||||
print("Usage: python {sys.argv[0]} <op2_file>")
|
||||
@@ -1,64 +0,0 @@
|
||||
"""
|
||||
Extract maximum von Mises stress from structural analysis
|
||||
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
||||
|
||||
Pattern: solid_stress
|
||||
Element Type: CTETRA
|
||||
Result Type: stress
|
||||
API: model.ctetra_stress[subcase] or model.chexa_stress[subcase]
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any
|
||||
import numpy as np
|
||||
from pyNastran.op2.op2 import OP2
|
||||
|
||||
|
||||
def extract_solid_stress(op2_file: Path, subcase: int = 1, element_type: str = 'ctetra'):
|
||||
"""Extract stress from solid elements."""
|
||||
from pyNastran.op2.op2 import OP2
|
||||
import numpy as np
|
||||
|
||||
model = OP2()
|
||||
model.read_op2(str(op2_file))
|
||||
|
||||
# Get stress object for element type
|
||||
# In pyNastran, stress is stored in model.op2_results.stress
|
||||
stress_attr = f"{element_type}_stress"
|
||||
|
||||
if not hasattr(model, 'op2_results') or not hasattr(model.op2_results, 'stress'):
|
||||
raise ValueError(f"No stress results in OP2")
|
||||
|
||||
stress_obj = model.op2_results.stress
|
||||
if not hasattr(stress_obj, stress_attr):
|
||||
raise ValueError(f"No {element_type} stress results in OP2")
|
||||
|
||||
stress = getattr(stress_obj, stress_attr)[subcase]
|
||||
itime = 0
|
||||
|
||||
# Extract von Mises if available
|
||||
if stress.is_von_mises: # Property, not method
|
||||
von_mises = stress.data[itime, :, 9] # Column 9 is von Mises
|
||||
max_stress = float(np.max(von_mises))
|
||||
|
||||
# Get element info
|
||||
element_ids = [eid for (eid, node) in stress.element_node]
|
||||
max_stress_elem = element_ids[np.argmax(von_mises)]
|
||||
|
||||
return {
|
||||
'max_von_mises': max_stress,
|
||||
'max_stress_element': int(max_stress_elem)
|
||||
}
|
||||
else:
|
||||
raise ValueError("von Mises stress not available")
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# Example usage
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
op2_file = Path(sys.argv[1])
|
||||
result = extract_solid_stress(op2_file)
|
||||
print(f"Extraction result: {result}")
|
||||
else:
|
||||
print("Usage: python {sys.argv[0]} <op2_file>")
|
||||
Binary file not shown.
@@ -1,5 +1,5 @@
|
||||
"""
|
||||
Extract total structural mass
|
||||
Extract total mass of the structure
|
||||
Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
|
||||
|
||||
Pattern: generic_extraction
|
||||
@@ -1,9 +1,9 @@
|
||||
"""
|
||||
Evaluate displacement and stress constraints
|
||||
Apply penalty to objective function if constraints are violated
|
||||
Auto-generated lifecycle hook by Atomizer Phase 2.9
|
||||
|
||||
Hook Point: post_calculation
|
||||
Inputs: max_displacement, max_von_mises_stress
|
||||
Inputs: max_displacement, max_von_mises_stress, total_mass
|
||||
Outputs: constraint, constraint_satisfied, constraint_violation
|
||||
"""
|
||||
|
||||
@@ -15,7 +15,7 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
def constraint_hook(context: Dict[str, Any]) -> Optional[Dict[str, Any]]:
|
||||
"""
|
||||
Evaluate displacement and stress constraints
|
||||
Apply penalty to objective function if constraints are violated
|
||||
|
||||
Args:
|
||||
context: Hook context containing:
|
||||
@@ -42,6 +42,11 @@ def constraint_hook(context: Dict[str, Any]) -> Optional[Dict[str, Any]]:
|
||||
logger.error(f"Required input 'max_von_mises_stress' not found in context")
|
||||
raise ValueError(f"Missing required input: max_von_mises_stress")
|
||||
|
||||
total_mass = calculations.get('total_mass') or results.get('total_mass')
|
||||
if total_mass is None:
|
||||
logger.error(f"Required input 'total_mass' not found in context")
|
||||
raise ValueError(f"Missing required input: total_mass")
|
||||
|
||||
# Check constraint
|
||||
value = max_displacement / 1.0
|
||||
satisfied = value <= 1.0
|
||||
@@ -69,7 +74,7 @@ def register_hooks(hook_manager):
|
||||
hook_manager.register_hook(
|
||||
hook_point='post_calculation',
|
||||
function=constraint_hook,
|
||||
description="Evaluate displacement and stress constraints",
|
||||
description="Apply penalty to objective function if constraints are violated",
|
||||
name="constraint_hook",
|
||||
priority=100,
|
||||
enabled=True
|
||||
@@ -0,0 +1,56 @@
|
||||
[
|
||||
{
|
||||
"trial_number": 0,
|
||||
"design_variables": {
|
||||
"beam_half_core_thickness": 0.3934195274712988,
|
||||
"beam_face_thickness": 0.07146930128208218
|
||||
},
|
||||
"results": {
|
||||
"max_displacement": 7315679.0,
|
||||
"max_disp_node": 5225.0,
|
||||
"max_disp_x": 156.94375610351562,
|
||||
"max_disp_y": 2.3414955139160156,
|
||||
"max_disp_z": 7315679.0
|
||||
},
|
||||
"calculations": {
|
||||
"check_displacement_constraint_result": 7315679.0
|
||||
},
|
||||
"objective": 7315679.0
|
||||
},
|
||||
{
|
||||
"trial_number": 1,
|
||||
"design_variables": {
|
||||
"beam_half_core_thickness": 0.9471234007929267,
|
||||
"beam_face_thickness": 0.6764087446304129
|
||||
},
|
||||
"results": {
|
||||
"max_displacement": 9158.6748046875,
|
||||
"max_disp_node": 5204.0,
|
||||
"max_disp_x": 36.21176528930664,
|
||||
"max_disp_y": 0.5410690903663635,
|
||||
"max_disp_z": 9158.603515625
|
||||
},
|
||||
"calculations": {
|
||||
"check_displacement_constraint_result": 9158.6748046875
|
||||
},
|
||||
"objective": 9158.6748046875
|
||||
},
|
||||
{
|
||||
"trial_number": 2,
|
||||
"design_variables": {
|
||||
"beam_half_core_thickness": 0.2679911361372036,
|
||||
"beam_face_thickness": 0.7283091311059705
|
||||
},
|
||||
"results": {
|
||||
"max_displacement": 7655.2783203125,
|
||||
"max_disp_node": 5224.0,
|
||||
"max_disp_x": 47.8192024230957,
|
||||
"max_disp_y": 0.7131573557853699,
|
||||
"max_disp_z": 7655.1298828125
|
||||
},
|
||||
"calculations": {
|
||||
"check_displacement_constraint_result": 7655.2783203125
|
||||
},
|
||||
"objective": 7655.2783203125
|
||||
}
|
||||
]
|
||||
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"best_params": {
|
||||
"beam_half_core_thickness": 0.2679911361372036,
|
||||
"beam_face_thickness": 0.7283091311059705
|
||||
},
|
||||
"best_value": 7655.2783203125,
|
||||
"best_trial_number": 2,
|
||||
"timestamp": "2025-11-17T21:28:43.477179",
|
||||
"study_name": "test_e2e_3trials_20251117_212730",
|
||||
"n_trials": 3
|
||||
}
|
||||
Binary file not shown.
@@ -280,24 +280,24 @@ def test_e2e_llm_mode_with_api_key():
|
||||
traceback.print_exc()
|
||||
checks.append(False)
|
||||
|
||||
# Verify best trial file
|
||||
if best_trial_file.exists():
|
||||
print("Verifying best trial file...")
|
||||
# Verify results file
|
||||
if results_file.exists():
|
||||
print("Verifying results file...")
|
||||
|
||||
try:
|
||||
with open(best_trial_file) as f:
|
||||
best = json.load(f)
|
||||
with open(results_file) as f:
|
||||
results = json.load(f)
|
||||
|
||||
if "design_variables" in best and "objective" in best:
|
||||
print(f" [OK] Best trial file has correct structure")
|
||||
print(f" Best objective: {best['objective']:.6f}")
|
||||
if "best_params" in results and "best_value" in results:
|
||||
print(f" [OK] Results file has correct structure")
|
||||
print(f" Best value: {results['best_value']:.6f}")
|
||||
checks.append(True)
|
||||
else:
|
||||
print(f" [FAIL] Best trial file missing fields")
|
||||
print(f" [FAIL] Results file missing fields")
|
||||
checks.append(False)
|
||||
|
||||
except Exception as e:
|
||||
print(f" [FAIL] Error reading best trial file: {e}")
|
||||
print(f" [FAIL] Error reading results file: {e}")
|
||||
checks.append(False)
|
||||
|
||||
print()
|
||||
|
||||
Reference in New Issue
Block a user