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>
73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
"""
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Calculate safety factor
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Auto-generated lifecycle hook by Atomizer Phase 2.9
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Hook Point: post_calculation
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Inputs: max_stress, yield_strength
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Outputs: safety_factor
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"""
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import logging
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from typing import Dict, Any, Optional
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logger = logging.getLogger(__name__)
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def safety_factor_hook(context: Dict[str, Any]) -> Optional[Dict[str, Any]]:
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"""
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Calculate safety factor
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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
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- calculations: Dictionary with inline calculation results
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Returns:
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Dictionary with calculated values to add to context
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"""
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logger.info(f"Executing safety_factor_hook for trial {context.get('trial_number', 'unknown')}")
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# Extract inputs from context
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results = context.get('results', {})
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calculations = context.get('calculations', {})
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max_stress = calculations.get('max_stress') or results.get('max_stress')
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if max_stress is None:
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logger.error(f"Required input 'max_stress' not found in context")
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raise ValueError(f"Missing required input: max_stress")
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yield_strength = calculations.get('yield_strength') or results.get('yield_strength')
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if yield_strength is None:
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logger.error(f"Required input 'yield_strength' not found in context")
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raise ValueError(f"Missing required input: yield_strength")
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# Calculate using custom formula
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safety_factor = yield_strength / max_stress
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logger.info(f"safety_factor = {safety_factor:.6f}")
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return {
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'safety_factor': safety_factor
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}
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def register_hooks(hook_manager):
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"""
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Register this hook with the HookManager.
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This function is called automatically when the plugin is loaded.
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Args:
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hook_manager: The HookManager instance
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"""
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hook_manager.register_hook(
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hook_point='post_calculation',
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function=safety_factor_hook,
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description="Calculate safety factor",
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name="safety_factor_hook",
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priority=100,
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enabled=True
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)
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logger.info(f"Registered safety_factor_hook at post_calculation")
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