import os
import tempfile

from langchain_core.tools import tool
from pytubefix import YouTube

from .video_sampling import extract_frames, extract_frame_captions


def download_video(url, output_path):
    """
    Downloads the video into an output path.

    Args:
        url:            The URL of the YouTube video.
        output_path:    The output folder where to download the video.

    Returns:
        The file name of the downloaded video.
    """
    yt = YouTube(url)
    stream = yt.streams.get_lowest_resolution()
    stream.download(output_path)
    return os.path.join(output_path, stream.default_filename)


def youtube_video_frame_sampler(addr: str, dest_dir: str) -> None:
    """
    Downsamples a YouTube video into frames. Saves the frames into a destination
    directory. Returns the path to the destination directory.

    Args:
        addr:       The URL of the YouTube video.
        dest_dir:   The destination directory.
    """

    temp_dir = tempfile.TemporaryDirectory()
    download_path = temp_dir.name

    video_path = download_video(addr, download_path)
    extract_frames(video_path, dest_dir)


@tool(parse_docstring=True)
def youtube_video_to_frame_captions(addr: str) -> str:
    """
    Analyzes video frames from a YouTube video and obtains
    captions for each frame. This is useful when we need to
    answer questions on the images shown in the video. It adds
    computer vision capabilities to the LLM.

    Args:
        addr:       The URL of the YouTube video.

    Returns:
        Frame descriptions as a list of strings.
    """
    temp_dir = tempfile.TemporaryDirectory()
    download_path = temp_dir.name

    video_path = download_video(addr, download_path)
    return extract_frame_captions(video_path)