"""Machine learning-based classifier for memories."""

from typing import Dict, List

from memuri.domain.models import MemoryCategory


class MLClassifier:
    """Machine learning classifier for memory categorization (stub for now)."""
    
    def __init__(self):
        """Initialize the ML classifier."""
        # This would normally initialize a model, but for simplicity,
        # we'll just fall back to the default category
        pass
    
    async def classify(self, text: str) -> Dict[MemoryCategory, float]:
        """Classify text into memory categories.
        
        Args:
            text: Text to classify
            
        Returns:
            Dict[MemoryCategory, float]: Categories with confidence scores
        """
        # Just return GENERAL with high confidence and others with low confidence
        scores = {category: 0.05 for category in MemoryCategory}
        scores[MemoryCategory.GENERAL] = 0.65
        
        return scores
    
    async def train(self, texts: List[str], categories: List[MemoryCategory]) -> None:
        """Train the classifier on new examples.
        
        Args:
            texts: Training texts
            categories: Corresponding categories
        """
        # Stub implementation - would train a model in a real implementation
        pass 