import os
import uuid

from src.utils import makedirs, sanitize_filename


def extract_unique_frames(urls=None, file=None, download_dir=None, export_dir=None, extract_frames=10):
    download_dir = download_dir or os.getenv('VID_DOWNLOADS', "viddownloads")
    download_dir = os.path.join(download_dir, str(uuid.uuid4()))
    # os.environ['FIFTYONE_DISABLE_SERVICES'] = 'True'
    if urls:
        import fiftyone.utils.youtube as fouy
        fouy.download_youtube_videos(urls, download_dir=download_dir)

    # Create a FiftyOne Dataset
    import fiftyone as fo
    if file:
        dataset = fo.Dataset.from_videos([file])
    else:
        dataset = fo.Dataset.from_videos_dir(download_dir)

    # Convert videos to images, sample 1 frame per second
    frame_view = dataset.to_frames(sample_frames=True, fps=1)

    import fiftyone.brain as fob

    # Index images by similarity
    results = fob.compute_similarity(frame_view, brain_key="frame_sim")

    # Find maximally unique frames
    num_unique = extract_frames  # Scale this to whatever you want
    results.find_unique(num_unique)
    unique_view = frame_view.select(results.unique_ids)

    # Visualize in the App
    # session = fo.launch_app(frame_view)
    # session = fo.launch_app(unique_view)

    san_file = sanitize_filename(os.path.basename(file)) if file else None

    if san_file:
        export_dir = export_dir or "/tmp/gradio/extraction_%s" % san_file
        if os.path.isdir(export_dir):
            export_dir += "_%s" % str(uuid.uuid4())
    else:
        export_dir = export_dir or "/tmp/gradio/extraction_%s" % str(uuid.uuid4())
    makedirs(export_dir, exist_ok=True)
    unique_view.export(export_dir, dataset_type=fo.types.VideoDirectory)
    return export_dir