"""B04 지면 필터 오케스트레이션.

구조화된 포인트클라우드(structured.npz)에 대해 grid_min_z/csf/pmf/ransac
필터를 실행하여 지면 마스크 딕셔너리를 만든다. 필터 선택은 config의
source_filters를 따른다.
"""

from typing import Any

import numpy as np

from B04_wf1_Surface.B04_wf1_Surface_Engine_Filter_CSF import filter_csf
from B04_wf1_Surface.B04_wf1_Surface_Engine_Filter_Grid import filter_grid_min_z
from B04_wf1_Surface.B04_wf1_Surface_Engine_Filter_PMF import filter_pmf
from B04_wf1_Surface.B04_wf1_Surface_Engine_Filter_RANSAC import filter_ransac

# 필터 키 → 함수 매핑
_FILTERS = {
    "grid_min_z": filter_grid_min_z,
    "csf": filter_csf,
    "pmf": filter_pmf,
    "ransac": filter_ransac,
}


def available_filters() -> tuple[str, ...]:
    return tuple(_FILTERS.keys())


def run_ground_filter(
    filter_key: str, structured_data: dict[str, Any] | np.lib.npyio.NpzFile
) -> np.ndarray:
    """단일 지면 필터를 실행해 불리언 마스크를 반환한다."""
    if filter_key not in _FILTERS:
        raise ValueError(f"알 수 없는 지면 필터입니다: {filter_key}")
    return np.asarray(_FILTERS[filter_key](structured_data), dtype=bool)


def build_ground_masks(
    structured_data: dict[str, Any] | np.lib.npyio.NpzFile,
    filter_keys: tuple[str, ...] | list[str],
) -> dict[str, np.ndarray]:
    """지정한 필터들을 실행해 {filter_key: mask} 딕셔너리를 만든다."""
    masks: dict[str, np.ndarray] = {}
    for filter_key in filter_keys:
        masks[filter_key] = run_ground_filter(filter_key, structured_data)
    return masks


def summarize_masks(
    structured_data: dict[str, Any] | np.lib.npyio.NpzFile,
    masks: dict[str, np.ndarray],
) -> dict[str, dict[str, Any]]:
    """각 필터 마스크의 지면 포인트 수·비율 요약을 만든다."""
    total = int(len(structured_data["xyz"]))
    summary: dict[str, dict[str, Any]] = {}
    for filter_key, mask in masks.items():
        ground = int(np.count_nonzero(mask))
        summary[filter_key] = {
            "ground_point_count": ground,
            "total_point_count": total,
            "ground_ratio": round(ground / total, 4) if total else 0.0,
        }
    return summary