import textwrap
import subprocess
import shutil
import os
from pathlib import Path

import torch
import gradio as gr
from huggingface_hub import hf_hub_download


REPO_ID = "kbrodt/sketch2pose"
API_TOKEN = os.environ["sketch2pose"]
ASSET_DIR = Path("./assets")

filename = "models_smplx_v1_1.zip"
smpl_path = hf_hub_download(
    repo_id=REPO_ID,
    repo_type="model",
    filename=filename,
    use_auth_token=API_TOKEN,
    cache_dir=ASSET_DIR,
)
if not (ASSET_DIR / filename).is_file():
    shutil.copy(smpl_path, ASSET_DIR)

subprocess.run("bash ./scripts/download.sh".split())
subprocess.run("bash ./scripts/prepare.sh".split())


SAVE_DIR = "output"
CMD = textwrap.dedent("""
    python src/pose.py
        --save-path {}
        --img-path {}
""")


def main():
    save_dir = Path(SAVE_DIR)
    save_dir.mkdir(parents=True, exist_ok=True)

    def pose(img_path, bone_lengths=True, foreshortening=True, self_contacts=False, naturalness=True):
        if bone_lengths == False:
            foreshortening = False

        cmd = CMD.format(save_dir, img_path)
        if bone_lengths:
            cmd = cmd + " --use-cos"
        if foreshortening:
            cmd = cmd + " --use-angle-transf"
        if self_contacts:
            cmd = cmd + " --use-contacts"
        if naturalness:
            cmd = cmd + " --use-natural"

        out_dir = (save_dir / Path(img_path).name).with_suffix("")
        mesh_path = out_dir / "us.glb"

        if not mesh_path.is_file():
            subprocess.call(cmd.split())

        return str(mesh_path)

    examples = []
    for img_path in Path("./data/images").glob("*"):
        examples.append([str(img_path), True, True, True, True])
        break

    demo = gr.Interface(
        fn=pose,
        inputs=[
            gr.Image(type="filepath"),
            gr.Checkbox(value=True),
            gr.Checkbox(value=True),
            gr.Checkbox(value=False, interactive=torch.cuda.is_available()),
            gr.Checkbox(value=True),
        ],
        outputs=gr.Model3D(),
        examples=examples,
    )

    demo.launch()


if __name__ == "__main__":
    main()