import cv2
import os
from pathlib import Path


def get_duration_and_frames(video_path: str) -> tuple[float, int] | tuple[None, None]:
    """Extract duration (seconds) and total frames from a video using OpenCV."""
    cap = cv2.VideoCapture(video_path)
    if not cap.isOpened():
        return None, None  # Failed to open video

    # Get frames per second (fps) and total frame count
    fps = cap.get(cv2.CAP_PROP_FPS)
    total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))

    # Calculate duration (avoid division by zero)
    duration = total_frames / fps if fps > 0 else 0

    cap.release()
    return duration, total_frames


def _find_files(directory: str | Path) -> list[str]:
    files = []
    for root, _, filenames in os.walk(directory):
        for filename in filenames:
            files.append(os.path.join(root, filename))
    return files


def get_file_list(path: Path) -> list[Path]:
    all_files = _find_files(path)
    all_files = map(Path, all_files)
    all_files = filter(lambda x: x.suffix, all_files)
    return list(all_files)


def get_extensions(file_list) -> set[Path]:
    extensions = set(map(lambda x: x.suffix, file_list))
    return extensions


def get_video_type_metadata(file_path):
    user = file_path.parts[-2]
    duration, num_frames = get_duration_and_frames(file_path)
    extension = file_path.suffix
    return {
        "user": user,
        "duration": duration,
        "extension": extension,
        "num_frames": num_frames,
        "path": file_path,
    }


def get_image_type_metadata(file_path):
    user = file_path.parts[-2]
    extension = file_path.suffix
    return {
        "user": user,
        "extension": extension,
        "path": file_path,
    }