"""Feedback loop for model improvement."""
from __future__ import annotations

from typing import List

from ..models import ValidationResult, FeatureVector
from ..engine.clusterer import CVEClusterer


class FeedbackLoop:
    """Improve model based on validation results."""
    
    def analyze_false_negatives(
        self,
        false_negatives: List[ValidationResult],
        driver,
    ) -> List[dict]:
        """Analyze missed CVEs to identify gaps."""
        # TODO: Implement in task 7.3
        raise NotImplementedError("To be implemented in task 7.3")
    
    def adjust_threshold(
        self,
        validation_results: List[ValidationResult],
        target_metric: str = "f1",
    ) -> float:
        """Adjust prediction threshold for optimal performance."""
        # TODO: Implement in task 7.3
        raise NotImplementedError("To be implemented in task 7.3")
    
    def retrain_clusterer(
        self,
        new_cve_vectors: List[FeatureVector],
        clusterer: CVEClusterer,
    ) -> CVEClusterer:
        """Retrain clustering model with new data."""
        # TODO: Implement in task 7.3
        raise NotImplementedError("To be implemented in task 7.3")
