feat: Complete Phase 3.1 - Extractor Orchestration & End-to-End Automation
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>
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@@ -337,9 +337,16 @@ User: "Why did trial #34 perform best?"
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- Successfully tested on real OP2 files
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- Zero manual coding for result extraction!
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- [x] **Phase 3.1**: Complete Automation Pipeline ✅
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- Extractor orchestrator integrates Phase 2.7 + Phase 3.0
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- Automatic extractor generation from LLM output
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- Dynamic loading and execution on real OP2 files
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- End-to-end test passed: Request → Code → Execution → Objective
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- ZERO MANUAL CODING - Complete automation achieved!
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### Next Priorities
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- [ ] **Phase 3.1**: Integration - Connect Phase 3 to Phase 2.7 LLM workflow
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- [ ] **Phase 3.2**: Optimization runner integration with orchestrator
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- [ ] **Phase 3.5**: NXOpen introspection & pattern curation
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- [ ] **Phase 4**: Code generation for complex FEA features
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- [ ] **Phase 5**: Analysis & decision support
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