import gradio as gr
import os
import tarfile
import allin1

from pathlib import Path

from dissector import generate_dissector_data

HEADER = """
<header style="text-align: center;">
  <h1>
    All-In-One Music Structure Analyzer 🔮
  </h1>
  <p>
    <a href="https://github.com/mir-aidj/all-in-one">[Python Package]</a>
    <a href="https://arxiv.org/abs/2307.16425">[Paper]</a>
    <a href="https://taejun.kim/music-dissector/">[Visual Demo]</a>
  </p>
</header>
<main
  style="display: flex; justify-content: center;"
>
  <div
    style="display: inline-block;"
  >
    <p>
      This Space demonstrates the music structure analyzer predicts:
      <ul
        style="padding-left: 1rem;"
      >
        <li>BPM</li>
        <li>Beats</li>
        <li>Downbeats</li>
        <li>Functional segment boundaries</li>
        <li>Functional segment labels (e.g. intro, verse, chorus, bridge, outro)</li>
      </ul>
    </p>
    <p>
      It takes about 4:30 to analyze a 3-minute song.
      If you are in a hurry, you can <strong><u>try the examples at the bottom</u></strong>.
    </p>
    <p>
      For more information, please visit the links above ✨🧸
    </p>
  </div>
</main>
"""

CACHE_EXAMPLES = os.getenv('CACHE_EXAMPLES', '1') == '1'

def compress_files(folder_path, dissector_file):
    """Compresses files in the specified folder into a .tar.gz"""
    tar_path = folder_path + ".tar.gz"
    with tarfile.open(tar_path, "w:gz") as tar:
        for root, _, files in os.walk(folder_path):
            for file in files:
                tar.add(os.path.join(root, file), arcname=file)
        tar.add(dissector_file)
    return tar_path

def analyze(path):
  path = Path(path)
  result = allin1.analyze(
    path,
    multiprocess=False,
    keep_byproducts=True,  # TODO: remove this
  )

  fig = allin1.visualize(result)
  fig.set_dpi(300)

  allin1.sonify(result, out_dir='./sonif')
  sonif_path = Path(f'./sonif/{path.stem}.sonif{path.suffix}').resolve().as_posix()

  dissector_file = generate_dissector_data(path.stem, result)  
  compressed_file = compress_files(f"demix/htdemucs/{path.stem}", dissector_file)

  return result.bpm, fig, sonif_path, compressed_file


with gr.Blocks() as demo:
  gr.HTML(HEADER)

  input_audio_path = gr.Audio(
    label='Input',
    source='upload',
    type='filepath',
    format='mp3',
    show_download_button=False,
  )
  button = gr.Button('Analyze', variant='primary')
  output_viz = gr.Plot(label='Visualization')
  with gr.Row():
    output_bpm = gr.Textbox(label='BPM', scale=1)
    output_sonif = gr.Audio(
      label='Sonification',
      type='filepath',
      format='mp3',
      show_download_button=False,
      scale=9,
    )
    output_compressed = gr.File(
        label="Compressed Files",
        type="file",
    )
  gr.Examples(
    examples=[
      './assets/NewJeans - Super Shy.mp3',
      './assets/Bruno Mars - 24k Magic.mp3'
    ],
    inputs=input_audio_path,
    outputs=[output_bpm, output_viz, output_sonif, output_compressed],
    fn=analyze,
    cache_examples=CACHE_EXAMPLES,
  )
  button.click(
    fn=analyze,
    inputs=input_audio_path,
    outputs=[output_bpm, output_viz, output_sonif, output_compressed],
    api_name='analyze',
  )

if __name__ == '__main__':
  demo.launch()