"""
视频帧提取（供 modules.segment 的 segment_person_from_video_frame 使用）
"""
from __future__ import annotations

import cv2
import numpy as np


class VideoExtractor:
    """从视频中按时间戳抽取一帧（RGB numpy 数组）。"""

    def __init__(self, video_path: str) -> None:
        self.video_path = video_path
        self._cap = cv2.VideoCapture(video_path)
        if not self._cap.isOpened():
            raise RuntimeError(f"无法打开视频: {video_path}")

    def extract_frame_at_time(self, time_seconds: float) -> np.ndarray:
        self._cap.set(cv2.CAP_PROP_POS_MSEC, max(0.0, float(time_seconds)) * 1000.0)
        ret, frame = self._cap.read()
        if not ret or frame is None:
            self._cap.release()
            raise RuntimeError(f"无法在 {time_seconds}s 处提取视频帧: {self.video_path}")
        rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        self._cap.release()
        return rgb

    def __del__(self) -> None:
        try:
            if hasattr(self, "_cap") and self._cap is not None:
                self._cap.release()
        except Exception:
            pass