feat: Complete Phase 3 - pyNastran Documentation Integration

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>

generated_hooks/hook_compare_min_to_avg_ratio.py

@@ -0,0 +1,75 @@
+"""
+Comparison Hook
+Auto-generated by Atomizer Phase 2.9
+
+Compare min force to average
+
+Operation: ratio
+Formula: min_to_avg_ratio = min_force / avg_force
+"""
+
+import sys
+import json
+from pathlib import Path
+
+
+def compare_ratio(min_force, avg_force):
+    """
+    Compare values using ratio.
+
+    Args:
+        min_force: float
+        avg_force: float
+
+    Returns:
+        float: Comparison result
+    """
+    result = min_force / avg_force
+    return result
+
+
+def main():
+    """Main entry point for hook execution."""
+    if len(sys.argv) < 2:
+        print("Usage: python {} <input_file.json>".format(sys.argv[0]))
+        sys.exit(1)
+
+    input_file = Path(sys.argv[1])
+
+    # Read inputs
+    with open(input_file, 'r') as f:
+        inputs = json.load(f)
+
+    # Extract required inputs
+    min_force = inputs.get("min_force")
+    if min_force is None:
+        print(f"Error: Required input 'min_force' not found")
+        sys.exit(1)
+    avg_force = inputs.get("avg_force")
+    if avg_force is None:
+        print(f"Error: Required input 'avg_force' not found")
+        sys.exit(1)
+
+    # Calculate comparison
+    result = compare_ratio(min_force, avg_force)
+
+    # Write output
+    output_file = input_file.parent / "min_to_avg_ratio.json"
+    output = {
+        "min_to_avg_ratio": result,
+        "operation": "ratio",
+        "formula": "min_force / avg_force",
+        "inputs_used": {"min_force": min_force, "avg_force": avg_force}
+    }
+
+    with open(output_file, 'w') as f:
+        json.dump(output, f, indent=2)
+
+    print(f"min_to_avg_ratio = {result:.6f}")
+    print(f"Result saved to: {output_file}")
+
+    return result
+
+
+if __name__ == '__main__':
+    main()