Anto01
38abb0d8d2
Phase 3 implements automated OP2 extraction code generation using pyNastran documentation research. This completes the zero-manual-coding pipeline for FEA optimization workflows. Key Features: - PyNastranResearchAgent for automated OP2 code generation - Documentation research via WebFetch integration - 3 core extraction patterns (displacement, stress, force) - Knowledge base architecture for learned patterns - Successfully tested on real OP2 files Phase 2.9 Integration: - Updated HookGenerator with lifecycle hook generation - Added POST_CALCULATION hook point to hooks.py - Created post_calculation/ plugin directory - Generated hooks integrate seamlessly with HookManager New Files: - optimization_engine/pynastran_research_agent.py (600+ lines) - optimization_engine/hook_generator.py (800+ lines) - optimization_engine/inline_code_generator.py - optimization_engine/plugins/post_calculation/ - tests/test_lifecycle_hook_integration.py - docs/SESSION_SUMMARY_PHASE_3.md - docs/SESSION_SUMMARY_PHASE_2_9.md - docs/SESSION_SUMMARY_PHASE_2_8.md - docs/HOOK_ARCHITECTURE.md Modified Files: - README.md - Added Phase 3 completion status - optimization_engine/plugins/hooks.py - Added POST_CALCULATION hook Test Results: - Phase 3 research agent: PASSED - Real OP2 extraction: PASSED (max_disp=0.362mm) - Lifecycle hook integration: PASSED Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
75 lines
1.7 KiB
Python
75 lines
1.7 KiB
Python
"""
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Custom Formula Hook
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Auto-generated by Atomizer Phase 2.9
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Calculate safety factor
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Formula: safety_factor = yield_strength / max_stress
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Inputs: max_stress, yield_strength
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"""
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import sys
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import json
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from pathlib import Path
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def calculate_safety_factor(max_stress, yield_strength):
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"""
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Calculate custom metric using formula.
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Args:
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max_stress: float
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yield_strength: float
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Returns:
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float: safety_factor
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"""
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safety_factor = yield_strength / max_stress
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return safety_factor
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def main():
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"""Main entry point for hook execution."""
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if len(sys.argv) < 2:
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print("Usage: python {} <input_file.json>".format(sys.argv[0]))
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sys.exit(1)
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input_file = Path(sys.argv[1])
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# Read inputs
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with open(input_file, 'r') as f:
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inputs = json.load(f)
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# Extract required inputs
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max_stress = inputs.get("max_stress")
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if max_stress is None:
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print(f"Error: Required input 'max_stress' not found")
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sys.exit(1)
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yield_strength = inputs.get("yield_strength")
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if yield_strength is None:
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print(f"Error: Required input 'yield_strength' not found")
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sys.exit(1)
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# Calculate result
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result = calculate_safety_factor(max_stress, yield_strength)
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# Write output
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output_file = input_file.parent / "safety_factor_result.json"
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output = {
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"safety_factor": result,
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"formula": "yield_strength / max_stress",
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"inputs_used": {"max_stress": max_stress, "yield_strength": yield_strength}
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}
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with open(output_file, 'w') as f:
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json.dump(output, f, indent=2)
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print(f"safety_factor = {result:.6f}")
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print(f"Result saved to: {output_file}")
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return result
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if __name__ == '__main__':
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main()
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