#!/usr/bin/env python
"""
view_dataset.py
"""

import logging
import time
from datetime import timedelta
from pathlib import Path

import dcargs
import torch

from nerfstudio.configs import base as cfg
from nerfstudio.datamanagers.base import AnnotatedDataParserUnion
from nerfstudio.datamanagers.datasets import InputDataset
from nerfstudio.viewer.server import viewer_utils

logging.basicConfig(format="[%(filename)s:%(lineno)d] %(message)s", level=logging.INFO)

DEFAULT_TIMEOUT = timedelta(minutes=30)

# speedup for when input size to model doesn't change (much)
torch.backends.cudnn.benchmark = True  # type: ignore


def main(
    dataparser: AnnotatedDataParserUnion,
    viewer: cfg.ViewerConfig,
    log_base_dir: Path = Path("/tmp/nerfstudio_viewer_logs"),
) -> None:
    """Main function."""
    viewer_state = viewer_utils.ViewerState(config.viewer)
    datamanager = config.pipeline.datamanager.setup()
    viewer_state.init_scene(dataset=datamanager.train_input_dataset, start_train=False)
    logging.info("Please refresh and load page at: %s", viewer_state.viewer_url)
    time.sleep(30)  # allowing time to refresh page


if __name__ == "__main__":
    dcargs.extras.set_accent_color("bright_yellow")
    dcargs.cli(main)