Anto01
2b3573ec42
Major additions: - Training data export system for AtomizerField neural network training - Bracket stiffness optimization study with 50+ training samples - Intelligent NX model discovery (auto-detect solutions, expressions, mesh) - Result extractors module for displacement, stress, frequency, mass - User-generated NX journals for advanced workflows - Archive structure for legacy scripts and test outputs - Protocol documentation and dashboard launcher 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
"""
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Extract optimization history from Optuna database and create incremental JSON file.
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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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import optuna
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def main():
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if len(sys.argv) < 2:
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print("Usage: python extract_history_from_db.py <path/to/study.db>")
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sys.exit(1)
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db_file = Path(sys.argv[1])
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if not db_file.exists():
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print(f"ERROR: Database not found: {db_file}")
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sys.exit(1)
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# Load Optuna study
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storage = f"sqlite:///{db_file}"
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study_name = db_file.parent.parent.name # Extract from path
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try:
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study = optuna.load_study(study_name=study_name, storage=storage)
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except:
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# Try to get first study if name doesn't match
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studies = optuna.get_all_study_names(storage)
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if not studies:
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print("ERROR: No studies found in database")
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sys.exit(1)
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study = optuna.load_study(study_name=studies[0], storage=storage)
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print(f"Study: {study.study_name}")
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print(f"Trials: {len(study.trials)}")
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# Extract history
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history = []
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for trial in study.trials:
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if trial.state != optuna.trial.TrialState.COMPLETE:
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continue
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record = {
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'trial_number': trial.number,
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'design_variables': trial.params,
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'results': trial.user_attrs, # May be empty if not stored
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'objective': trial.value
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}
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history.append(record)
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# Write to JSON
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output_file = db_file.parent / 'optimization_history_incremental.json'
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with open(output_file, 'w') as f:
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json.dump(history, f, indent=2)
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print(f"\nHistory exported to: {output_file}")
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print(f" {len(history)} completed trials")
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if __name__ == "__main__":
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main()
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