99 lines
3.1 KiB
Python
99 lines
3.1 KiB
Python
"""
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Models Module
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Provides model registry and interfaces for the trading system.
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This module acts as a bridge between the core system and the NN models.
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"""
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import logging
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from typing import Dict, Any, Optional, List
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from NN.models.model_interfaces import ModelInterface, CNNModelInterface, RLAgentInterface, ExtremaTrainerInterface
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logger = logging.getLogger(__name__)
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class ModelRegistry:
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"""Registry for managing trading models"""
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def __init__(self):
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self.models: Dict[str, ModelInterface] = {}
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self.model_performance: Dict[str, Dict[str, Any]] = {}
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def register_model(self, name: str, model: ModelInterface):
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"""Register a model in the registry"""
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self.models[name] = model
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self.model_performance[name] = {
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'correct': 0,
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'total': 0,
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'accuracy': 0.0,
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'last_used': None
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}
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logger.info(f"Registered model: {name}")
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def get_model(self, name: str) -> Optional[ModelInterface]:
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"""Get a model by name"""
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return self.models.get(name)
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def get_all_models(self) -> Dict[str, ModelInterface]:
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"""Get all registered models"""
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return self.models.copy()
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def update_performance(self, name: str, correct: bool):
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"""Update model performance metrics"""
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if name in self.model_performance:
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self.model_performance[name]['total'] += 1
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if correct:
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self.model_performance[name]['correct'] += 1
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self.model_performance[name]['accuracy'] = (
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self.model_performance[name]['correct'] /
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self.model_performance[name]['total']
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)
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def get_best_model(self, model_type: str = None) -> Optional[str]:
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"""Get the best performing model"""
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if not self.model_performance:
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return None
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best_model = None
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best_accuracy = -1.0
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for name, perf in self.model_performance.items():
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if model_type and not name.lower().startswith(model_type.lower()):
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continue
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if perf['accuracy'] > best_accuracy:
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best_accuracy = perf['accuracy']
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best_model = name
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return best_model
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# Global model registry instance
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_model_registry = ModelRegistry()
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def get_model_registry() -> ModelRegistry:
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"""Get the global model registry instance"""
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return _model_registry
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def register_model(name: str, model: ModelInterface):
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"""Register a model in the global registry"""
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_model_registry.register_model(name, model)
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def get_model(name: str) -> Optional[ModelInterface]:
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"""Get a model from the global registry"""
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return _model_registry.get_model(name)
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def get_all_models() -> Dict[str, ModelInterface]:
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"""Get all models from the global registry"""
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return _model_registry.get_all_models()
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# Export the interfaces
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__all__ = [
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'ModelRegistry',
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'get_model_registry',
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'register_model',
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'get_model',
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'get_all_models',
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'ModelInterface',
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'CNNModelInterface',
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'RLAgentInterface',
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'ExtremaTrainerInterface'
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]
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