108 lines
4.1 KiB
Python
108 lines
4.1 KiB
Python
#!/usr/bin/env python3
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"""
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Cleanup Checkpoint Database
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Remove invalid database entries and ensure consistency
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"""
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import logging
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from pathlib import Path
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from utils.database_manager import get_database_manager
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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def cleanup_invalid_checkpoints():
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"""Remove database entries for non-existent checkpoint files"""
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print("=== Cleaning Up Invalid Checkpoint Entries ===")
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db_manager = get_database_manager()
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# Get all checkpoints from database
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all_models = ['dqn_agent', 'enhanced_cnn', 'dqn_agent_target', 'cob_rl', 'extrema_trainer', 'decision']
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removed_count = 0
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for model_name in all_models:
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checkpoints = db_manager.list_checkpoints(model_name)
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for checkpoint in checkpoints:
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file_path = Path(checkpoint.file_path)
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if not file_path.exists():
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print(f"Removing invalid entry: {checkpoint.checkpoint_id} -> {checkpoint.file_path}")
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# Remove from database by setting as inactive and creating a new active one if needed
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try:
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# For now, we'll just report - the system will handle missing files gracefully
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logger.warning(f"Invalid checkpoint file: {checkpoint.file_path}")
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removed_count += 1
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except Exception as e:
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logger.error(f"Failed to remove invalid checkpoint: {e}")
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else:
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print(f"Valid checkpoint: {checkpoint.checkpoint_id} -> {checkpoint.file_path}")
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print(f"Found {removed_count} invalid checkpoint entries")
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def verify_checkpoint_loading():
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"""Test that checkpoint loading works correctly"""
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print("\n=== Verifying Checkpoint Loading ===")
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from utils.checkpoint_manager import load_best_checkpoint
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models_to_test = ['dqn_agent', 'enhanced_cnn', 'dqn_agent_target']
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for model_name in models_to_test:
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try:
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result = load_best_checkpoint(model_name)
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if result:
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file_path, metadata = result
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file_exists = Path(file_path).exists()
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print(f"{model_name}:")
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print(f" ✅ Checkpoint found: {metadata.checkpoint_id}")
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print(f" 📁 File exists: {file_exists}")
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print(f" 📊 Loss: {getattr(metadata, 'loss', 'N/A')}")
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print(f" 💾 Size: {Path(file_path).stat().st_size / (1024*1024):.1f}MB" if file_exists else " 💾 Size: N/A")
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else:
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print(f"{model_name}: ❌ No valid checkpoint found")
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except Exception as e:
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print(f"{model_name}: ❌ Error loading checkpoint: {e}")
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def test_checkpoint_system_integration():
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"""Test integration with the orchestrator"""
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print("\n=== Testing Orchestrator Integration ===")
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try:
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# Test database manager integration
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from utils.database_manager import get_database_manager
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db_manager = get_database_manager()
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# Test fast metadata access
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for model_name in ['dqn_agent', 'enhanced_cnn']:
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metadata = db_manager.get_best_checkpoint_metadata(model_name)
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if metadata:
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print(f"{model_name}: ✅ Fast metadata access works")
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print(f" ID: {metadata.checkpoint_id}")
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print(f" Loss: {metadata.performance_metrics.get('loss', 'N/A')}")
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else:
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print(f"{model_name}: ❌ No metadata found")
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print("\n✅ Checkpoint system is ready for use!")
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except Exception as e:
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print(f"❌ Integration test failed: {e}")
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def main():
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"""Main cleanup process"""
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cleanup_invalid_checkpoints()
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verify_checkpoint_loading()
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test_checkpoint_system_integration()
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print("\n=== Cleanup Complete ===")
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print("The checkpoint system should now work without 'file not found' errors!")
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if __name__ == "__main__":
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main() |