Phase 3.1 completes the ZERO-MANUAL-CODING automation pipeline by
integrating all phases into a seamless workflow from natural language
request to final objective value.
Key Features:
- ExtractorOrchestrator integrates Phase 2.7 LLM + Phase 3.0 Research Agent
- Automatic extractor generation from LLM workflow output
- Dynamic loading and execution on real OP2 files
- Smart parameter filtering per extraction pattern type
- Multi-extractor support in single workflow
- Complete end-to-end test passed on real bracket OP2
Complete Automation Pipeline:
User Natural Language Request
↓
Phase 2.7 LLM Analysis
↓
Phase 3.1 Orchestrator
↓
Phase 3.0 Research Agent (auto OP2 code gen)
↓
Generated Extractor Modules
↓
Dynamic Execution on Real OP2
↓
Phase 2.8 Inline Calculations
↓
Phase 2.9 Post-Processing Hooks
↓
Final Objective → Optuna
Test Results:
- Generated displacement extractor: PASSED
- Executed on bracket OP2: PASSED
- Extracted max_displacement: 0.361783mm at node 91
- Calculated normalized objective: 0.072357
- Multi-extractor generation: PASSED
New Files:
- optimization_engine/extractor_orchestrator.py (380+ lines)
- tests/test_phase_3_1_integration.py (200+ lines)
- docs/SESSION_SUMMARY_PHASE_3_1.md (comprehensive documentation)
- optimization_engine/result_extractors/generated/ (auto-generated extractors)
Modified Files:
- README.md - Added Phase 3.1 completion status
ZERO MANUAL CODING - Complete automation achieved!
Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
"""
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Extract von Mises stress from solid elements
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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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stress_attr = f"{element_type}_stress"
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if not hasattr(model, stress_attr):
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raise ValueError(f"No {element_type} stress results in OP2")
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stress = getattr(model, 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():
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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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