from typing import Dict, Any, Optional, List


def classify_crisis_severity(
    features: List[str],
    label_scheme: str = "5-class",
    model_type: str = "lgbm",
    spatial_granularity: str = "province"
) -> Dict[str, Any]:
    """
    Classify Crisis Severity (placeholder intent)

    Parameters
    ----------
    features : list[str]
        Indicators such as needs, access constraints, incidents, prices.
    label_scheme : str
        e.g., "3-class" | "5-class".
    model_type : str
        e.g., "lgbm", "xgboost", "rf".
    spatial_granularity : str
        Level of classification.
    """
    return {
        "type": "ml_classify_crisis_severity",
        "model_type": model_type,
        "features_count": len(features),
        "label_scheme": label_scheme,
        "spatial_granularity": spatial_granularity,
        "preview": {"will_train": True, "expected_outputs": ["labels", "probabilities", "confusion_matrix"]},
    }
