from typing import Dict, Any, Optional, List


def predict_funding_shortfalls(
    features: List[str],
    target: str = "funding_gap_next_quarter",
    model_type: str = "lgbm",
    horizon_days: int = 90
) -> Dict[str, Any]:
    """
    Predict Funding Shortfalls (placeholder intent)

    Parameters
    ----------
    features : list[str]
        Inputs like pledges, historical disbursements, appeal revisions.
    target : str
        Funding gap metric to forecast.
    model_type : str
        e.g., "lgbm", "xgboost", "rf".
    horizon_days : int
        Forecast horizon in days.
    """
    return {
        "type": "ml_predict_funding_shortfalls",
        "model_type": model_type,
        "features_count": len(features),
        "target": target,
        "horizon_days": horizon_days,
        "preview": {"will_train": True, "expected_outputs": ["predictions", "feature_importance", "cv_metrics"]},
    }
