"""
Evoke Detection ML - ML-based classifier

Placeholder for future ML model integration.
Currently returns empty results - model loading not implemented.
"""
from typing import List, Optional, Dict
import logging

from evoke.schema import Detection

logger = logging.getLogger(__name__)


class MLClassifier:
    """ML-based content classification (placeholder)."""

    def __init__(self, model_path: Optional[str] = None):
        self.model = None
        self.model_path = model_path

    def classify(self, content: str) -> List[Detection]:
        """Classify content. Returns empty list - model not implemented."""
        return []

    @property
    def is_available(self) -> bool:
        """Check if ML classification is available."""
        return self.model is not None


class MLEngine:
    """Engine wrapper for ML-based detection (placeholder)."""

    def __init__(self, enable: bool = True, model_path: Optional[str] = None):
        self.enabled = enable
        self.classifier = MLClassifier(model_path) if enable else None

    def classify(self, content: str, context: Optional[Dict] = None) -> List[Detection]:
        """Run ML classification on content. Returns empty list - not implemented."""
        if not self.enabled or self.classifier is None:
            return []
        return self.classifier.classify(content)

    @property
    def is_available(self) -> bool:
        """Check if ML engine is available."""
        return self.enabled and self.classifier is not None and self.classifier.is_available
