Anto01
eabcc4c3ca
BREAKING CHANGE: Module paths have been reorganized for better maintainability. Backwards compatibility aliases with deprecation warnings are provided. New Structure: - core/ - Optimization runners (runner, intelligent_optimizer, etc.) - processors/ - Data processing - surrogates/ - Neural network surrogates - nx/ - NX/Nastran integration (solver, updater, session_manager) - study/ - Study management (creator, wizard, state, reset) - reporting/ - Reports and analysis (visualizer, report_generator) - config/ - Configuration management (manager, builder) - utils/ - Utilities (logger, auto_doc, etc.) - future/ - Research/experimental code Migration: - ~200 import changes across 125 files - All __init__.py files use lazy loading to avoid circular imports - Backwards compatibility layer supports old import paths with warnings - All existing functionality preserved To migrate existing code: OLD: from optimization_engine.nx_solver import NXSolver NEW: from optimization_engine.nx.solver import NXSolver OLD: from optimization_engine.runner import OptimizationRunner NEW: from optimization_engine.core.runner import OptimizationRunner 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
166 lines
6.8 KiB
Python
166 lines
6.8 KiB
Python
"""
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Atomizer Optimization Engine
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============================
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Structural optimization framework for Siemens NX.
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New Module Structure (v2.0):
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- core/ - Optimization runners
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- processors/ - Data processing (surrogates, dynamic_response)
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- nx/ - NX/Nastran integration
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- study/ - Study management
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- reporting/ - Reports and analysis
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- config/ - Configuration
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- extractors/ - Physics extraction (unchanged)
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- insights/ - Visualizations (unchanged)
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- gnn/ - Graph neural networks (unchanged)
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- hooks/ - NX hooks (unchanged)
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- utils/ - Utilities
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- validators/ - Validation (unchanged)
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Quick Start:
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from optimization_engine.core import OptimizationRunner
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from optimization_engine.nx import NXSolver
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from optimization_engine.extractors import extract_displacement
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"""
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__version__ = '2.0.0'
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import warnings as _warnings
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import importlib as _importlib
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# =============================================================================
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# SUBMODULE LIST
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# =============================================================================
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_SUBMODULES = {
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'core', 'processors', 'nx', 'study', 'reporting', 'config',
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'extractors', 'insights', 'gnn', 'hooks', 'utils', 'validators',
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}
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# =============================================================================
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# BACKWARDS COMPATIBILITY LAYER
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# =============================================================================
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# These aliases allow old imports to work with deprecation warnings.
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# Will be removed in v3.0.
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_DEPRECATED_MAPPINGS = {
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# Core
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'runner': 'optimization_engine.core.runner',
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'base_runner': 'optimization_engine.core.base_runner',
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'intelligent_optimizer': 'optimization_engine.core.intelligent_optimizer',
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'method_selector': 'optimization_engine.core.method_selector',
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'strategy_selector': 'optimization_engine.core.strategy_selector',
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'strategy_portfolio': 'optimization_engine.core.strategy_portfolio',
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'gradient_optimizer': 'optimization_engine.core.gradient_optimizer',
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'runner_with_neural': 'optimization_engine.core.runner_with_neural',
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# Surrogates
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'neural_surrogate': 'optimization_engine.processors.surrogates.neural_surrogate',
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'generic_surrogate': 'optimization_engine.processors.surrogates.generic_surrogate',
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'adaptive_surrogate': 'optimization_engine.processors.surrogates.adaptive_surrogate',
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'simple_mlp_surrogate': 'optimization_engine.processors.surrogates.simple_mlp_surrogate',
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'active_learning_surrogate': 'optimization_engine.processors.surrogates.active_learning_surrogate',
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'surrogate_tuner': 'optimization_engine.processors.surrogates.surrogate_tuner',
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'auto_trainer': 'optimization_engine.processors.surrogates.auto_trainer',
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'training_data_exporter': 'optimization_engine.processors.surrogates.training_data_exporter',
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# NX
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'nx_solver': 'optimization_engine.nx.solver',
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'nx_updater': 'optimization_engine.nx.updater',
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'nx_session_manager': 'optimization_engine.nx.session_manager',
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'solve_simulation': 'optimization_engine.nx.solve_simulation',
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'solve_simulation_simple': 'optimization_engine.nx.solve_simulation_simple',
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'model_cleanup': 'optimization_engine.nx.model_cleanup',
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'export_expressions': 'optimization_engine.nx.export_expressions',
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'import_expressions': 'optimization_engine.nx.import_expressions',
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'mesh_converter': 'optimization_engine.nx.mesh_converter',
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# Study
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'study_creator': 'optimization_engine.study.creator',
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'study_wizard': 'optimization_engine.study.wizard',
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'study_state': 'optimization_engine.study.state',
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'study_reset': 'optimization_engine.study.reset',
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'study_continuation': 'optimization_engine.study.continuation',
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'benchmarking_substudy': 'optimization_engine.study.benchmarking',
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'generate_history_from_trials': 'optimization_engine.study.history_generator',
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# Reporting
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'generate_report': 'optimization_engine.reporting.report_generator',
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'generate_report_markdown': 'optimization_engine.reporting.markdown_report',
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'comprehensive_results_analyzer': 'optimization_engine.reporting.results_analyzer',
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'visualizer': 'optimization_engine.reporting.visualizer',
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'landscape_analyzer': 'optimization_engine.reporting.landscape_analyzer',
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# Config
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'config_manager': 'optimization_engine.config.manager',
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'optimization_config_builder': 'optimization_engine.config.builder',
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'optimization_setup_wizard': 'optimization_engine.config.setup_wizard',
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'capability_matcher': 'optimization_engine.config.capability_matcher',
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'template_loader': 'optimization_engine.config.template_loader',
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# Utils
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'logger': 'optimization_engine.utils.logger',
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'auto_doc': 'optimization_engine.utils.auto_doc',
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'realtime_tracking': 'optimization_engine.utils.realtime_tracking',
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'codebase_analyzer': 'optimization_engine.utils.codebase_analyzer',
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'pruning_logger': 'optimization_engine.utils.pruning_logger',
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# Future
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'research_agent': 'optimization_engine.future.research_agent',
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'pynastran_research_agent': 'optimization_engine.future.pynastran_research_agent',
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'targeted_research_planner': 'optimization_engine.future.targeted_research_planner',
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'workflow_decomposer': 'optimization_engine.future.workflow_decomposer',
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'step_classifier': 'optimization_engine.future.step_classifier',
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# Extractors/Validators
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'op2_extractor': 'optimization_engine.extractors.op2_extractor',
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'extractor_library': 'optimization_engine.extractors.extractor_library',
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'simulation_validator': 'optimization_engine.validators.simulation_validator',
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# Processors
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'adaptive_characterization': 'optimization_engine.processors.adaptive_characterization',
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}
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# =============================================================================
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# LAZY LOADING
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# =============================================================================
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def __getattr__(name):
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"""Lazy import for submodules and backwards compatibility."""
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# Handle submodule imports (e.g., from optimization_engine import core)
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if name in _SUBMODULES:
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return _importlib.import_module(f'optimization_engine.{name}')
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# Handle deprecated imports with warnings
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if name in _DEPRECATED_MAPPINGS:
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new_module = _DEPRECATED_MAPPINGS[name]
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_warnings.warn(
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f"Importing '{name}' from optimization_engine is deprecated. "
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f"Use '{new_module}' instead. "
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f"This will be removed in v3.0.",
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DeprecationWarning,
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stacklevel=2
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)
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return _importlib.import_module(new_module)
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raise AttributeError(f"module 'optimization_engine' has no attribute '{name}'")
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__all__ = [
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# Version
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'__version__',
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# Submodules
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'core',
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'processors',
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'nx',
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'study',
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'reporting',
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'config',
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'extractors',
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'insights',
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'gnn',
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'hooks',
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'utils',
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'validators',
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]
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